On Quantification of Groundwater Dynamics Under Long-term Land Use Land Cover Transition - Sucharita Pradhan; Anirban Dhar; Kamlesh Narayan Tiwari (Water Resources Management, 2022)

Optimization of Applied Water Depth Under Water Limiting Conditions - Mohammad Ismaeil Kamali; Hossein Ansari; Rouzbeh Nazari (Water Resources Management, 2022)

Methodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression - Tarcila Neves Generoso; Demetrius David da Silva; Ricardo Santos Silva Amorim; Lineu Neiva Rodrigues; Erli Pinto dos Santos (Water Resources Management, 2022)

Calculation of Water Depth during Flood in Rivers using Linear Muskingum Method and Particle Swarm Optimization (PSO) Algorithm - Hadi Norouzi; Jalal Bazargan (Water Resources Management, 2022)

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach - Mehdi Jamei; Mumtaz Ali; Anurag Malik; Ramendra Prasad; Shahab Abdulla; Zaher Mundher Yaseen (Water Resources Management, 2022)

Mapping Knowledge Domain on Economic Growth and Water Sustainability: A Scientometric Analysis - Wuliyasu Bai; Liang Yan; Jingbo Liang; Long Zhang (Water Resources Management, 2022)

A Life Cycle Oriented Multi‑objective Optimal Maintenance of Water Distribution: Model and Application - Junying Chu; Zuhao Zhou; Xiangyi Ding; Ziyang Tian (Water Resources Management, 2022)

Improving Annual Streamflow Prediction by Extracting Information from High-frequency Components of Streamflow - Lili Wang; Yanlong Guo; Manhong Fan (Water Resources Management, 2022)

Inverse Flood Routing Using Simplified Flow Equations - Dariusz Gąsiorowski; Romuald Szymkiewicz (Water Resources Management, 2022)
The paper considers the problem of inverse flood routing in reservoir operation strategy. The aim of the work is to investigate the possibility of determining the hydrograph at the upstream end based on the hydrograph required at the downstream end using simplified open channel flow models. To accomplish this, the linear kinematic wave equation, the diffusive wave equation and the linear Muskingum equation are considered. To achieve the hydrograph at the upstream end, an inverse solution of the afore mentioned equations with backward integration in the x direction is carried out. The numerical solution of the kinematic wave equation and the Muskingum equation bases on the finite difference scheme. It is shown that both these equations are able to provide satisfying results because of their exceptional properties related to numerical diffusion. In the paper, an alternative approach to solve the inverse routing using the diffusive wave model is also presented. To this end, it is described by a convolution which involves the instantaneous unit hydrograph (IUH) corresponding to the linear diffusive wave equation. Consequently, instead of a solution of partial or ordinary differential equations, the integral equation with Laguerre polynomials, used for the expansion of the upstream hydrograph, is solved. It was shown that the convolution approach is more reliable comparing to the inverse solution of the simplified models in the form of differential equations.

Digital Corporate Social Responsibility Reporting in the Water Industry - Rita Almeida; José Ángel Pérez-López; Rute Abreu (Water Resources Management, 2022)
Companies in the Water Industry present digital Corporate Social Responsibility (CSR) agenda and, also, the social and environmental commitment to their stakeholders through the websites. The purpose of this research is to assess the digital CSR in Portuguese companies of the Water Industry. Furthermore, the research examines factors that impacts on the digital status of the online disclosure. The authors analyze the CSR information published on their websites of the Portuguese companies, operating in bottle water industry using empirical analysis. The data was collected based on the Global Reporting Initiative (GRI 2021a) standards that details the level of disclosure in this industry and highlight areas of underreporting. The results point to factors that need to improve to companies’ digital CSR report good practices and weak points based on the companies’ size, number of employees and turnover as factors that influence this level of disclosure.

Comparative Evaluation of Water Resource Data Policy Inventories Towards the Improvement of East African Climate and Water Data Infrastructure - Victoria M. Garibay; Margaret W. Gitau; Victor Kongo; James Kisekka; Daniel Moriasi (Water Resources Management, 2022)
The recognized challenge of freely accessing climate and water data in East Africa poses a problem in undertaking relevant analytical studies and making informed water resources management decisions in the region. This study seeks to understand the defining characteristics of policies and distribution infrastructure, in the context of meteorological, water quantity, and water quality data, that determine whether or not a user will be able to freely and readily access existing data. An analysis was developed to quantify the information contained in legislation, official documents and websites, and similar textual resources from the study region and elsewhere to establish commonalities, potential trends, and patterns in the documentation behind data streams culminating successfully in a portal or database accessible by the public. A quantitative analysis was applied to discern overall patterns in what constitutes effective policy and to diagnose where there may be impediments in the path between data collection and its application. Generally, the foundational elements present in the documentation pertaining to most accessible data streams represented are: (1) known organization in charge of that data type; (2) known location where this data would be stored; (3) defined data collection format; and (4) commitment to a plan for making data available to potential users. Examination of overlap between elements absent in unsuccessful data streams and present in successful data streams suggests that those without a documented commitment to making data available online rarely result in a functioning, accessible portal and vice versa. Amongst other findings, this knowledge has the potential to contribute towards the development and refinement of policies so that more emphasis is placed on openness and access, leading to informed decision-making and management of water resources.

A Novel Approach for Predicting Water Demand with Complex Patterns Based on Ensemble Learning - Zhihao Xu; Zhiqiang Lv; Jianbo Li; Anshuo Shi (Water Resources Management, 2022)

Assessing and Predicting the Vulnerability to Agrometeorological Drought Using the Fuzzy-AHP and Second-order Markov Chain techniques - Abdol Rassoul Zarei; Mohammad Reza Mahmoudi (Water Resources Management, 2022)

Optimization of Drought Limited Water Level and Operation Benefit Analysis of Large Reservoir - Libing Zhang; Chuanyu Kang; Chengguo Wu; Haiguan Yu; Juliang Jin; Yuliang Zhou; Ting Zhou (Water Resources Management, 2022)

Unraveling the Lagged Effect of Hydro-meteorological Conditions On the Trophic State of a Reservoir By Applying Dynamic Regression - Pablo F. Andreoni; Marcia A. Ruiz; María Inés Rodríguez; Ana Laura Ruibal-Conti (Water Resources Management, 2022)

Application of the Coupled Simulation–optimization Method for the Optimum Cut-off Design Under a Hydraulic Structure - Waqed H. Hassan; Hussein H. Hussein; Duaa H. Khashan; Musa H. Alshammari; Basim K. Nile (Water Resources Management, 2022)

Evaluation of Four Tree Algorithms in Predicting and Investigating the Changes in Aquifer Depth - Seyed Hassan Mirhashemi; Farhad Mirzaei; Parviz Haghighat Jou; Mehdi Panahi (Water Resources Management, 2022)

Performance Evaluation of Agricultural Surface Water Distribution Systems Based on Water-food-energy Nexus and Using AHP-Entropy-WASPAS Technique - Fatemeh Bayat; Abbas Roozbahani; Seied Mehdy Hashemy Shahdany (Water Resources Management, 2022)

Combining Radial Basis Function Neural Network Models and Inclusive Multiple Models for Predicting Suspended Sediment Loads - Elham Ghanbari-Adivi; Mohammad Ehteram; Alireza Farrokhi; Zohreh Sheikh Khozani (Water Resources Management, 2022)

Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources - Ijaz Ahmad; Fan Zhang (Water Resources Management, 2022)

Study for Underpass Inundation Process Caused by Heavy Storm Using High-resolution Urban Flood Model - Xinghua Wang; Jingming Hou; Bingyao Li; Jie Chai; Jian Wang; Wenqing Zhang (Water Resources Management, 2022)

Framework for Hyperparameter Impact Analysis and Selection for Water Resources Feedforward Neural Network - Xuan Wang; Wenchong Tian; Zhenliang Liao (Water Resources Management, 2022)

Experimental and Numerical Study of the Effect of Zigzag Crests with Various Geometries on the Performance of A-type Piano Key Weirs - Abdol Mahdi Behroozi; Mohammad Vaghefi (Water Resources Management, 2022)

Using Periodic Copula to Assess the Relationship Between Two Meteorological Cyclostationary Time Series Datasets - Mohammad Reza Mahmoudi; Abdol Rassoul Zarei (Water Resources Management, 2022)

A New Weighting Scheme for Diminishing the Effect of Extreme Values in Regional Drought Analysis - Farman Ali; Bing-Zhao Li; Zulfiqar Ali (Water Resources Management, 2022)

Monthly rainfall forecasting by a hybrid neural network of discrete wavelet transformation and deep learning - Ming Wei; Xue-yi You (Water Resources Management, 2022)

Evaluating the Effect of Downstream Channel Width Variation on Hydraulic Performance of Arched Plan Stepped Spillways - Ali Foroudi; Kiyoumars Roushangar; Mojtaba Saneie; Fatemeh Vojoudi Mehrabani; Farhad Alizadeh (Water Resources Management, 2022)

Impacts of Receding of the Lakes Located in the Arid and Semi-arid Areas on the Coastal Groundwater: Integrated Modeling and Experimental Study - Mahdi Motallebian; Hojjat Ahmadi; Amir Raoof; Nick Cartwright (Water Resources Management, 2022)

Multi-Step-Ahead Monthly Streamflow Forecasting Using Convolutional Neural Networks - Xingsheng Shu; Yong Peng; Wei Ding; Ziru Wang; Jian Wu (Water Resources Management, 2022)

Linking Hydro-Physical Variables and Landscape Metrics using Advanced Data Mining for Stream-Flow Prediction - Vahid Moosavi; Ayoob Karami; Negin Behnia; Ronny Berndtsson; Christian Massari (Water Resources Management, 2022)

Assessing the Vulnerability of California Water Utilities to Wildfires - Juhee Lee; Mehdi Nemati; Jose J. Sanchez (Water Resources Management, 2022)
Wildfires are becoming more frequent and destructive in California, and it is essential to quantify their potential impacts on drinking water utilities. This study aims to measure the severity of wildfires in each California water utility based on the exposure frequency and the extent of area burned by wildfires in each service area. Our quantitative models show an association between water utility characteristics and their vulnerability to wildfires. Findings indicate that wildfire vulnerability is higher in government-owned utilities than private ones, utilities primarily relying on surface water than groundwater, and utilities using local-sourced water than purchased water. Also, we find a stronger association between wildfire vulnerability and large utilities in terms of population served than small or medium ones. Regarding geography, we find wildfire vulnerability is higher in southern and coastal California utilities than in Northern and inland California. These results help water utilities and land managers identify vulnerable locations and develop wildfire management and disaster preparedness strategies.

Groundwater Level Fluctuations in Coastal Aquifer: Using Artificial Neural Networks to Predict the Impacts of Climatical CMIP6 Scenarios - Adib Roshani; Mehdi Hamidi (Water Resources Management, 2022)

Influence of Time Step Synchronization on Urban Rainfall-Runoff Simulation in a Hybrid CPU/GPU 1D-2D Coupled Model - Donglai Li; Jingming Hou; Yangwei Zhang; Minpeng Guo; Dawei Zhang (Water Resources Management, 2022)

Reservoir Flood Season Segmentation and Risk–benefit Cooperative Decision of Staged Flood Limited Water Level - Xiaoying Li; Yan Zhang; Zechun Tong; Guo-Yue Niu (Water Resources Management, 2022)

Critical Elements Analysis of Water Supply Systems to Improve Energy Efficiency in Failure Scenarios - Gal Perelman; Barak Fishbain (Water Resources Management, 2022)

A New EWM-FCM Approach to Optimize the Allocation of Water Ecology Compensation Funds - Yali Lu; Wenwen Ding; Zhanguo Li (Water Resources Management, 2022)

A Review of AI Methods for the Prediction of High-Flow Extremal Hydrology - Mohamed Hamitouche; Jose-Luis Molina (Water Resources Management, 2022)

A New Framework Based on Data-Based Mechanistic Model and Forgetting Mechanism for Flood Forecast - Guozhen Wei; Wei Ding; Guohua Liang; Bin He; Jian Wu; Rui Zhang; Huicheng Zhou (Water Resources Management, 2022)

Drought Vulnerability Assessment Based on a Multi-criteria Integrated Approach and Application of Satellite-based Datasets - Roghayeh Ghasempour; Mohammad Taghi Aalami; Kiyoumars Roushangar (Water Resources Management, 2022)

Priority Water Rights for Irrigation at the River Basin Level. Do They Improve Economic Efficiency During Drought Periods? - Carlos Gutiérrez-Martín; José A. Gómez-Limón; Nazaret M. Montilla-López (Water Resources Management, 2022)
This paper assesses the potential efficiency gains of reforming the water rights regime in the Spanish agricultural sector by replacing current allocation procedures based on the proportional rule with a priority allocation procedure based on two tiers of security-differentiated water rights. This assessment is useful for evaluating whether said change in water rights can be considered a suitable policy instrument to improve water management during droughts events. For this purpose, a mathematical programming model is built to simulate the performance of the proposed reform. The empirical analysis is implemented at the basin scale, where water rights holders are highly heterogeneous, considering different climate scenarios accounting for changes in water supply reliability. The Guadalquivir River Basin (GRB) in southern Spain is used as a case study. The results obtained show that this change in the water allocation regime would yield only modest economic efficiency gains under the current climate scenario. However, it is also evidenced that this policy instrument could play a more relevant role as an efficiency enhancer in a climate change scenario, given that more frequent and intense drought episodes are expected. Moreover, priority rights represent an interesting risk management instrument for farmers, allowing the most vulnerable farmers to reduce income volatility. These findings suggest that the combined implementation of the proposed shift in the allocation regime with spot or allocation water markets would lead to successful outcomes, significantly improving drought management in the irrigation sector.

Analysis of the isolation valve system in water distribution networks using the segment graph - A. Simone; C. Di Cristo; O. Giustolisi (Water Resources Management, 2022)
The mechanical reliability of Water Distribution Networks (WDNs) is a relevant technical and scientific issue. During planned maintenance or unplanned interruptions, the affected area must be isolated by valves shutdown. This operation involves the alteration of the network structure, i.e., the domain of the hydraulic system, and for this reason the isolation valve system plays a central role. Some studies started to consider the presence of the isolation valve system in WDNs reliability analysis. Accordingly, this work uses the Complex Network Theory to analyse the isolation valve system performance and to assess the importance of the segments generated by valves shutdown. Differently from the classic complex network theory approach, in this work the recently proposed WDN-relevance-based betweenness centrality is applied to the segment graph to introduce information about the relevance of the different elements into the network, considering geometric and hydraulic parameters, such as length, demand, risk of disconnection, etc. The proposed strategy also suggests an improvement in the representation of the segment graph with respect to the presence of parallel edges. The strategy is presented using a small network, while it is demonstrated and discussed using a real WDN. The results indicate that the WDN-relevance-based betweenness centrality allows to effectively assess the importance of the segments generated by valves shutdowns, also providing indications to improve the isolation valve system design.

Numerical Study of the Water Surface Movement During a Dam Break on a Slope with Cascade Dike from Sediment - Alibek Issakhov; Yeldos Zhandaulet; Aizhan Abylkassymova (Water Resources Management, 2022)

LiDAR based hydro-conditioned hydrological modeling for enhancing precise conservation practice placement in agricultural watersheds - Rallapalli Srinivas; Matt Drewitz; Joe Magner; Harish Puppala; Ajit Pratap Singh; Riyadh Ibrahim Al-Raoush (Water Resources Management, 2022)

Disaggregating the Effects of Climatic Variability and Dam Construction on River Flow Regime - Leila Shakarami; Parisa-Sadat Ashofteh; Vijay P. Singh (Water Resources Management, 2022)

Introducing a Novel Hybrid Machine Learning Model and Developing its Performance in Estimating Water Quality Parameters - Mojtaba Kadkhodazadeh; Saeed Farzin (Water Resources Management, 2022)

Definition of Extreme Rainfall Events and Design of Rainfall Based on the Copula Function - Changyan Yin; Jiayi Wang; Xin Yu; Yong Li; Denghua Yan; Shengqi Jian (Water Resources Management, 2022)

Adaptive Reservoir Management by Reforming the Zone-based Hedging Rules against Multi-year Droughts - Gi Joo Kim; Seung Beom Seo; Young-Oh Kim (Water Resources Management, 2022)

Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components - Saeideh Samani; Meysam Vadiati; Farahnaz Azizi; Efat Zamani; Ozgur Kisi (Water Resources Management, 2022)

Study on Water Quality Prediction of Urban Reservoir by Coupled CEEMDAN Decomposition and LSTM Neural Network Model - Lei Zhang; Zhiqiang Jiang; Shanshan He; Jiefeng Duan; Pengfei Wang; Ting Zhou (Water Resources Management, 2022)

Application of Multinomial Logistic Regression to Model the Impact of Rainfall Genesis on the Performance of Storm Overflows: Case Study - Bartosz Szeląg; Roman Suligowski; Grzegorz Majewski; Przemysław Kowal; Adrian Bralewski; Karolina Bralewska; Ewa Anioł; Wioletta Rogula-Kozłowska; Francesco De Paola (Water Resources Management, 2022)

A Hybrid Model Integrating Elman Neural Network with Variational Mode Decomposition and Box–Cox Transformation for Monthly Runoff Time Series Prediction - Fangqin Zhang; Yan Kang; Xiao Cheng; Peiru Chen; Songbai Song (Water Resources Management, 2022)

A Novel Hybrid Approach for Predicting Western Australia’s Seasonal Rainfall Variability - Farhana Islam; Monzur Alam Imteaz (Water Resources Management, 2022)
In this paper, 100 years of uninterrupted rainfall data for 12 rainfall stations (four rainfall stations from each region) in Western Australia were analyzed against respective dominant climate indices, and representative prediction models were developed using ARIMAX, GEP, and a hybrid technique (GEP-ARIMAX). Statistical performance evaluators such as Pearson correlation $$(r)$$ ( r ) , root mean square error $$(RMSE)$$ ( R M S E ) , mean absolute error ( $$MAE$$ MAE ), and refined Willmot index of agreement ( $${d}_{r}$$ d r ) were used to evaluate the prediction performance of the developed models. These models demonstrated their capability to predict up to four months in advance with Pearson correlation $$(r)$$ ( r ) values ranging from 0.53 to 0.83, 0.75 to 0.85, and 0.87 to 0.95 for ARIMAX, GEP, and hybrid (GEP-ARIMAX) models respectively. While compared, the hybrid (GEP-ARIMAX) model showed superior prediction performance in both calibration and validation periods with Pearson correlation $$(r)$$ ( r ) and refined Willmot index of agreement ( $${d}_{r}$$ d r ) values were as high as 0.96 and 0.84 respectively. This paper demonstrated a novel hybrid GEP-ARIMAX model showing significantly good rainfall forecasting capability than conventional linear and non-linear models.

Scale Effects of the Monthly Streamflow Prediction Using a State-of-the-art Deep Learning Model - Wenxin Xu; Jie Chen; Xunchang J. Zhang (Water Resources Management, 2022)

Towards a More Robust Evaluation of Climate Model and Hydrological Impact Uncertainties - E. Pastén-Zapata; T. Eberhart; K. H. Jensen; J. C. Refsgaard; T. O. Sonnenborg (Water Resources Management, 2022)
The uncertainty of climate model projections is recognized as being large. This represents a challenge for decision makers as the simulation spread of a climate model ensemble can be large, and there might even be disagreement on the direction of the climate change signal among the members of the ensemble. This study quantifies changes in the hydrological projection uncertainty due to different approaches used to select a climate model ensemble. The study assesses 16 Euro-CORDEX Regional Climate Models (RCMs) that drive three different conceptualizations of the MIKE-SHE hydrological model for the Ahlergaarde catchment in western Denmark. The skills of the raw and bias-corrected RCMs to simulate historical precipitation are evaluated using sets of nine, six, and three metrics assessing means and extremes in a series of steps, and results in reduction of projection uncertainties. After each step, the overall lowest-performing model is removed from the ensemble and the standard deviation is estimated, only considering the members of the new ensemble. This is performed for nine steps. The uncertainty of raw RCM outputs is reduced the most for river discharge (5 th , 50 th and 95 th percentiles) when using the set of three metrics, which only assess precipitation means and one ‘moderate’ extreme metrics. In contrast, the uncertainty of bias-corrected RCMs is reduced the most when using all nine metrics, which evaluate means, ‘moderate’ extremes and high extremes. Similar results are obtained for groundwater head (GWH). For the last step of the method, the initial standard deviation of the raw outputs decreases up to 38% for GWH and 37% for river discharge. The corresponding decreases when evaluating the bias-corrected outputs are 63% and 42%. For the bias corrected outputs, the approach proposed here reduces the projected hydrological uncertainty and provides a stronger change signal for most of the months. This analysis provides an insight on how different approaches used to select a climate model ensemble affect the uncertainty of the hydrological projections and, in this case, reduce the uncertainty of the future projections.

Development of a Non-stationary Standardized Precipitation Evapotranspiration Index (NSPEI) for Drought Monitoring in a Changing Climate - Javad Bazrafshan; Majid Cheraghalizadeh; Kokab Shahgholian (Water Resources Management, 2022)

Better Water and Land Allocation for Long-term Agricultural Sustainability - Ajay Singh (Water Resources Management, 2022)

Customer-Driven Water Supply Systems: Synergizing System Reliability and Customer Satisfaction with Bowtie Analysis - Husnain Haider; Majed Alinizzi; Md. Shafiquzzaman; Saleem S. AlSaleem; Mohammad Alresheedi; Rehan Sadiq (Water Resources Management, 2022)

An Analysis of Non-stationary Drought Conditions in Parana State Based on Climate Change Scenarios - Robinson Ploszai; Miriam Rita Moro Mine; Daniel Henrique Marco Detzel (Water Resources Management, 2022)

Modeling Multi-objective Pareto-optimal Reservoir Operation Policies Using State-of-the-art Modeling Techniques - Aadhityaa Mohanavelu; Bankaru-Swamy Soundharajan; Ozgur Kisi (Water Resources Management, 2022)

Optimizing Joint Flood Control Operating Charts for Multi–reservoir System Based on Multi–group Piecewise Linear Function - Lihua Chen; Jing Yu; Jin Teng; Hang Chen; Xiang Teng; Xuefang Li (Water Resources Management, 2022)

A Parallel Multi-objective Optimization Algorithm Based on Coarse-to-Fine Decomposition for Real-time Large-scale Reservoir Flood Control Operation - Rui Yang; Yutao Qi; Jiaojiao Lei; Xiaoliang Ma; Haibin Zhang (Water Resources Management, 2022)

A multi-weight fuzzy Methodological Framework for Allocating Coalition Payoffs of Joint Water Environment Governance in Transboundary River Basins - Liang Yuan; Xia Wu; Weijun He; Yang Kong; Thomas Stephen Ramsey; Dagmawi Mulugeta Degefu (Water Resources Management, 2022)

Developing Stepwise m5 Tree Model to Determine the Influential Factors on Rainfall Prediction and to Overcome the Greedy Problem of its Algorithm - Khalil Ghorbani; Meysam Salarijazi; Nozar Ghahreman (Water Resources Management, 2022)

Selecting the Best Approach to Modeling the Performance of Water Supply System Using the Combination of Rough Set Theory with Multi-Criteria Decision Making - Sadaf-Sadat Mortezaeipooya; Parisa-Sadat Ashofteh; Parvin Golfam (Water Resources Management, 2022)

The Perception of Residential Water Tariff, Consumption, and Cost: Evidence of its Determinants Using Survey Data - Ramón Barberán; Julio López-Laborda; Fernando Rodrigo (Water Resources Management, 2022)
In a survey of 1,500 households in Zaragoza (Spain), we found that respondents did not accurately know what the price of water was, and what the characteristics of the water tariff were, how much water they consumed, or how much it cost them; they thought they consumed less water than they actually did, and thought that their consumption level was normal; they believed they paid more than they really did, and considered the payments to be appropriate or expensive. Based on this sample of households, this paper analyses what determines the level of accuracy in the perception of consumers about their water tariff, their water consumption, and their total water cost, or, in other words, what determines the closeness between their perception and reality. The methodology applied is based on maximum likelihood estimates using various probit/logit models. The results obtained allow to identify the collectives to whom an information policy should be directed in order to approximate their perceptions closer to the real tariff, consumption and cost of water in households, and to point out the kind of information that should be transmitted in order to contribute to the preservation of water resources.

Multivariable Time Series Forecasting for Urban Water Demand Based on Temporal Convolutional Network Combining Random Forest Feature Selection and Discrete Wavelet Transform - Jun Guo; Hui Sun; Baigang Du (Water Resources Management, 2022)

Long-term Precipitation Estimation Combining Time-Series Retrospective Forecasting and Downscaling-Calibration Procedure - Haibo Gong; Fusheng Jiao; Li Cao; Huiyu Liu (Water Resources Management, 2022)

Multi-Strategy Improved Slime Mould Algorithm and its Application in Optimal Operation of Cascade Reservoirs - Hong Miao; Zhongrui Qiu; Chengbi Zeng (Water Resources Management, 2022)

Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models - Mostafa Mardani Najafabadi; Abbas Mirzaei; Hassan Azarm; Siamak Nikmehr (Water Resources Management, 2022)

Correction to: Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios - Jin Hyuck Kim; Jang Hyun Sung; Shamsuddin Shahid; Eun-Sung Chung (Water Resources Management, 2022)

Water Allocation Management Under Scarcity: a Bankruptcy Approach - Yang Zheng; Xuefeng Sang; Zhiwu Liu; Siqi Zhang; Pan Liu (Water Resources Management, 2022)
This study hopes to develop a multi-criteria decision-making (MCDM) method for equitable and efficient allocation of water resources under scarcity. Based on the Bankruptcy problems, five classic plus one proposed allocation rules are introduced to generate water distribution alternatives. The “Core” solution of Cooperative Game Theory (CGT) and the Security Restriction have been used to select feasible alternatives. Additionally, five voting methods in Social Choice Theory (SCT) are launched to aggregate preferences and obtain a “win” alternative. Apply this model to the 2030 water allocation planning project of Ezhou City, China, as a case study. Under the proposed rule, Adjust minimal overlap rule (AMO), five regions, Urban Area, Gedian DZ, and three counties, hold the water deficit rate of 5.9%, 15.8%, and 4.7%-6.1%, respectively. In aggregating preferences by voting, AMO wins four out of five methods and takes second place in the last one, which provides some insights for allocating water fairly and feasibly.

Real-time Neural-network-based Ensemble Typhoon Flood Forecasting Model with Self-organizing Map Cluster Analysis: A Case Study on the Wu River Basin in Taiwan - You-Da Jhong; Hsin-Ping Lin; Chang-Shian Chen; Bing-Chen Jhong (Water Resources Management, 2022)

Analysis of the Water-Food-Energy Nexus and Water Competition Based on a Bayesian Network - Yaxin Shi; Suning Liu; Haiyun Shi (Water Resources Management, 2022)

Global Sensitivity Analysis-based Design of Low Impact Development Practices for Urban Runoff Management Under Uncertainty - Majid Hashemi; Najmeh Mahjouri (Water Resources Management, 2022)

Risk Analysis of Dynamic Water Level Setting of Reservoir in Flood Season Based on Multi-index - Zhenyu Mu; Xueshan Ai; Jie Ding; Kui Huang; Senlin Chen; Jiajun Guo; Zuo Dong (Water Resources Management, 2022)

Comparative Simulation of GIS-Based Rainwater Management Solutions - Sumar Farooq; Khalid Mahmood; Fiza Faizi (Water Resources Management, 2022)

An Integrated Extreme Rainfall Modeling Tool (SDExtreme) for Climate Change Impacts and Adaptation - Myeong-Ho Yeo; Van-Thanh-Van Nguyen; Yong Sang Kim; Theodore A. Kpodonu (Water Resources Management, 2022)
The estimation of the Intensity–Duration–Frequency (IDF) relation is often necessary for the planning and design of various hydraulic structures and design storms. It has been an increasingly greater challenge due to climate change conditions. This paper therefore proposes an integrated extreme rainfall modeling software package (SDExtreme) for constructing the IDF relations at a local site in the context of climate change. The proposed tool is based on a temporal downscaling method to describe the relationships between daily and sub-daily extreme precipitation using the scale-invariance General Extreme Value (GEV) distribution. In addition, SDExtreme provides a modified bootstrap technique to determine confidence intervals (CIs) of the estimated IDF curves for current and the future climate conditions. The feasibility and accuracy of SDExtreme were assessed using rainfall data available from the selected rain gauge stations in Quebec and Ontario provinces (Canada) and climate simulations under three different climate change scenarios provided by the Canadian Earth System Model (CanESM2) and the Canadian Regional Climate Model (CanRCM4).

Exploring Regional Profile of Drought History- a New Procedure to Characterize and Evaluate Multi-Scaler Drought Indices Under Spatial Poisson Log-Normal Model - Farman Ali; Zulfiqar Ali; Bing-Zhao Li; Sadia Qamar; Amna Nazeer; Saba Riaz; Muhammad Asif Khan; Rabia Fayyaz; Javeria Nawaz Abbasi (Water Resources Management, 2022)

Inclined Physical Subsurface Barriers for Saltwater Intrusion Management in Coastal Aquifers - Ismail Abd-Elaty; Lorenzo Pugliese; Salvatore Straface (Water Resources Management, 2022)

Comprehensive Regulation of Water Services. Why Quality of Service and Economic Costs Cannot be Considered Separately - Enrique Cabrera; Elvira Estruch-Juan; Elena Gómez; Roberto del Teso (Water Resources Management, 2022)
Regulation in the water sector emerged as a formula to protect customers from the natural monopoly that conforms water and wastewater services. As there is little information about regulatory practices in the sector around the world, information has been collected though a survey sent to water regulators. The results of the survey provided enough information to understand how the different utilities’ behaviours are regulated and the methodologies used. Among all the behaviours to be regulated, economic and quality of service regulation emerge as key aspects from a technical point of view. The first one supervises utilities’ costs and tariffs while the second, the standards the service is provided. However, it has been detected that these aspects are regulated separately and the quality of service does not have an impact on economic regulation. This work quantifies the impact that the quality of services has on costs and the consequences derived from not considering it in the economic regulation. In addition, this study also lists all the different aspect of the quality of service with an impact on costs.

Multi-Objective Firefly Integration with the K-Nearest Neighbor to Reduce Simulation Model Calls to Accelerate the Optimal Operation of Multi-Objective Reservoirs - Mahboubeh Khorsandi; Parisa-Sadat Ashofteh; Firoozeh Azadi; Xuefeng Chu (Water Resources Management, 2022)

Optimal Water Allocation of Surface and Ground Water Resources Under Climate Change with WEAP and IWOA Modeling - Seyedeh Hadis Moghadam; Parisa-Sadat Ashofteh; Hugo A. Loáiciga (Water Resources Management, 2022)

Synergistic Effects of Changes in Climate and Vegetation on Basin Runoff - Cheng Zhang; Chuansen Wu; Zedong Peng; Shengyang Kuai; Shanghong Zhang (Water Resources Management, 2022)

Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios - Jin Hyuck Kim; Jang Hyun Sung; Shamsuddin Shahid; Eun-Sung Chung (Water Resources Management, 2022)

Lambert W-function Solution for Uniform Flow Depth Problem - Ahmed A. Lamri; Said M. Easa (Water Resources Management, 2022)

Trend Analysis of Water Inflow Into the Dam Reservoirs Under Future Conditions Predicted By Dynamic NAR and NARX Models - Pedram Pishgah Hadiyan; Ramtin Moeini; Eghbal Ehsanzadeh; Monire Karvanpour (Water Resources Management, 2022)

Collaborative Management of a Sustainable Supply Chain in a Water Diversion Project - Meng Liu; Wenwen Ding; Yali Lu (Water Resources Management, 2022)

Performances of Pressure Reducing Valves in Variable Demand Conditions: Experimental Analysis and New Performance Parameters - G. Ferrarese; S. Malavasi (Water Resources Management, 2022)
Pressure Reducing Valves (PRV) play a critical role in Water Distribution Networks (WDN): they regulate pressure ensuring an efficient service to users and preventing damage to pipelines. In recent years, the attention of water utilities towards pressure management and leakage control led to the necessity of more flexible and responsive technologies that can guarantee a higher level of pressure control accuracy. Because of this the common performance parameters based on steady state conditions are no longer satisfactory to evaluate the effective behaviour of the devices when used in situations where demand can change. In the present paper the pressure control effectiveness of different types of PRV (electric actuated, pilot operated and direct acting) in variable demand conditions is discussed. The data used are from experimental tests, literature and field application. To assess valves’ pressure control performance, the use of new parameters, which consider the peak of pressure reached during control operations and the accuracy of target pressure regulation, has been proposed. The use of these parameters allows the comparison between different type of valves giving to WDN managers a direct overview on the valves ability to regulate pressure under variable demand conditions.

Revisiting Major Dry Periods by Rolling Time Series Analysis for Human-Water Relevance in Drought - Yonca Cavus; Kerstin Stahl; Hafzullah Aksoy (Water Resources Management, 2022)
Drought is increasingly gaining importance for society, humans, and the environment. It is analyzed commonly by the use of available hydroclimatic or hydrologic data with little in-depth consideration of specific major dry periods experienced over a region. Also, it is not a common practice to assess the probability of drought categories with a rolling time series and hence the changing knowledge for operational drought monitoring. A combination of such quantitative analysis with a comprehensive qualitative assessment of drought as a human-water relation aimed to fill this gap performing a case study in the Seyhan River Basin, Turkey. Six major dry periods were identified from the precipitation time series of 19 meteorological stations. Major dry periods were analyzed by rolling time series and full time series, and they were also analyzed individually. A major dry period could be important in terms of its duration while another in terms of its severity or intensity, and each with its own impact on the human-water relations that can be influential on the drought mitigation, management and governance. Significantly higher probabilities were calculated for extreme droughts with the use of individual major dry periods. An important outcome from the study is that drought is underestimated in practice with the sole use of the whole data record.

Drought Governance in Transition: a Case Study of the Meuse River Basin in the Netherlands - Romy Carmen Brockhoff; Robbert Biesbroek; Bregje Van der Bolt (Water Resources Management, 2022)
The Netherlands is internationally renowned for its flood risk management, but three consecutive dry years between 2018–2020 fuelled the debate on how to deal with future drought risk. Drought governance in the Netherlands is still in its infancy. The increased sense of urgency has led many scholars and policy makers to call for transitions towards a more anticipatory drought governance which enables transformative actions in an adequate and timely manner. Whilst transitions have been studied before, few have looked at governance systems, and even fewer on the processes that can steer the direction and speed of governance transitions in the future. This paper adopts a novel perspective by combining theories on mechanisms and transitions to analyse future governance transitions. The aim of this study is to identify the key mechanisms that have potential to steer and/or accelerate transitions in Dutch drought governance. This study focusses on the upper part of the Dutch Meuse River basin. Using a document analysis, expert interviews, and focus group discussions, the findings show that five underlying micro-level mechanisms are critical to steer and accelerate transitions. These include social learning, shared problem perception, administrative courage and leadership, persistency, and institutionalisation. The novel transition-mechanistic conceptual approach adopted in this study offers a starting point for other studies that wish to obtain a better understanding of underlying processes in a transition.

Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change - Kimia Naderi; Mahnoosh Moghaddasi; Ashkan shokri (Water Resources Management, 2022)

Adoption of Rainwater Harvesting: a Dual-factor Approach by Integrating Theory of Planned Behaviour and Norm Activation Model - Nagarajan Shanmugavel; Rema Rajendran (Water Resources Management, 2022)

Experimental and Numerical Investigation of Hybrid River Training Works using OpenFOAM - Riddick Kakati; Vinay Chembolu; Subashisa Dutta (Water Resources Management, 2022)

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment - Zehai Gao; Yang Liu; Nan Li; Kangjie Ma (Water Resources Management, 2022)

A Comparative Study of Data-driven Models for Groundwater Level Forecasting - R. Sarma; S. K. Singh (Water Resources Management, 2022)

Correction to: Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi‑Step Ahead Time‑Varying Hedging Rule - Soe Thiha; Asaad Y. Shamseldin; Bruce W. Melville (Water Resources Management, 2022)

Entropy-Based Flow and Sediment Routing in Data Deficit River Networks - Pooja Patel; Arindam Sarkar (Water Resources Management, 2022)

Drainage Basin Shape Indices to Understanding Channel Hydraulics - Balai Chandra Das; Aznarul Islam; Biplab Sarkar (Water Resources Management, 2022)

Predicting and Forecasting Mine Water Parameters Using a Hybrid Intelligent System - Kagiso Samuel More; Christian Wolkersdorfer (Water Resources Management, 2022)

Design of a Control System Using an Artificial Neural Network to Optimize the Energy Efficiency of Water Distribution Systems - Laís Régis Salvino; Heber Pimentel Gomes; Saulo de Tarso Marques Bezerra (Water Resources Management, 2022)

Adaptive Neural-Based Fuzzy Inference System and Cooperation Search Algorithm for Simulating and Predicting Discharge Time Series Under Hydropower Reservoir Operation - Zhong-kai Feng; Wen-jing Niu; Peng-fei Shi; Tao Yang (Water Resources Management, 2022)

Improvement of Rainwater Harvesting Analysis Through an Hourly Timestep Model in Comparison with a Daily Timestep Model - Monzur Alam Imteaz; Vassiliki Boulomytis (Water Resources Management, 2022)
For the analysis of rainwater tank outcomes, some researchers used monthly water balance model, which ignores an important factor such as overflow from the tank. Recently, to improve the accuracy of such analysis facilitated by the availability of daily rainfall data, many researchers started using daily timestep models. In the daily timestep models, the daily rainwater demand is deducted from the available storage, once in a day and there are debates on whether to apply that deduction at the beginning of the day or at the end of the day. Moreover, there is significant diurnal variation of water demand, which can not be accounted for in a daily timestep model. To overcome this, current study investigates an hourly timestep model considering hourly rainfall data and hourly variable rainwater demands. Hourly rainfall data was collected from the Australian Bureau of Meteorology for a raingauge station located in Melbourne. An earlier developed daily water balance model was converted to hourly scale incorporating hourly variable rainwater demands. Model simulated results for three distinct years (dry, average and wet) were compared with the results using a daily timestep model with the same data. Variations of water savings and overflow amounts are presented under four combinations of roof area and daily rainwater demand with tank sizes varying from 2500 L to 20,000 L. It is found that in all the selected years, the daily timestep model underestimated the annual water savings compared to the hourly timestep model and the highest difference was estimated to be 13,750 L for a smaller tank size connected with a bigger roof having higher rainwater demand.

State Variable Implications on Hydraulic State Estimation - Emilio Ruiz; Sarai Díaz; Javier González (Water Resources Management, 2022)
Hydraulic State Estimation allows to estimate the most likely state of a water supply network considering multiple sources of information and their associated uncertainty. It is set out as an optimization problem, often addressed according to the Weighted Least Squares criterion. It can be formulated differently depending on the selected set of state variables. This choice is not straightforward and leads to different problem dimensions, time complexities and convergence behavior. All possible essential approaches are gathered in this work and two are identified as the most suitable according to the resulting problem dimensions: a head-based approach and a demand-based approach. The particularities and the formulation according to both sets of state variables are discussed, seeking for efficient implementation. Their time complexity and convergence behavior are compared to draw conclusions that help to identify the most suitable approach for real practice applications.

Monitoring Inflow Dynamics in a Multipurpose Dam Based on Travel-time Principle - Mohamad Basel Al Sawaf; Kiyosi Kawanisi; Cong Xiao; Gillang Noor Nugrahaning Gusti; Faruq Khadami (Water Resources Management, 2022)

Water Security in an Uncertain Future: Contrasting Realities from an Availability-Demand Perspective - Jullian S. Sone; Thamiris F. Araujo; Gabriela C. Gesualdo; André S. Ballarin; Glauber A. Carvalho; Paulo Tarso S. Oliveira; Edson Cezar Wendland (Water Resources Management, 2022)

Correction to: Monthly Streamflow Modeling Based on Self-organizing Maps and Satellite-estimated Rainfall Data - Thiago Victor Medeiros do Nascimento; Celso Augusto Guimarães Santos; Camilo Allyson Simões de Farias; Richarde Marques da Silva (Water Resources Management, 2022)

Development of a New Simulation Model for the Reservoir Hydropower Generation - Rahim Zahedi; Reza Eskandarpanah; Mohammadhossein Akbari; Nima Rezaei; Paniz Mazloumin; Omid Noudeh Farahani (Water Resources Management, 2022)

Sensitivity of the RDI and SPEI Drought Indices to Different Models for Estimating Evapotranspiration Potential in Semiarid Regions - Ruperto Ortiz-Gómez; Roberto S. Flowers-Cano; Guillermo Medina-García (Water Resources Management, 2022)

Innovative Risk Assessment Framework for Hydraulic Control of Irrigation Reservoirs´ Breaching - Fernando Espejo; José-Luis Molina; Santiago Zazo; Rubén Muñoz-Sánchez (Water Resources Management, 2022)
This research introduces an innovative framework aimed at developing a risk assessment to analyse the breaching hydraulic control of non-impounding reservoirs for irrigation purposes, called irrigation reservoirs (IRs). This approach comprises an analytical method based on several empirical formulas where the one that best fits the different geometric characteristics of IR water systems is chosen. Furthermore, a stochastic framework allows for the incorporation of the occurrence probability as a tool to characterize the risk analysis of IRs. This occurrence probability has two components: probability based on the bottom elevation of a final breach and probability based on the failure mode (piping in this case). In risk assessment terms, the ultimate product comprises the maximum hazard probability maps that allow a significant improvement in the representation of the artificial flooding effect. This research was successfully applied in two dimensions, synthetically and realistically, in the Las Porteras and Macías Picavea IR water systems (Spain). This approach may improve the management of this type of hydraulic infrastructure and its surrounding area by reducing the risk of experiencing negative consequences derived from uncontrolled hydraulic breaching.

Modified Green–Ampt Model Considering Vegetation Root Effect and Redistribution Characteristics for Slope Stability Analysis - Shaohong Li; Peng Cui; Ping Cheng; Lizhou Wu (Water Resources Management, 2022)

Partial Wavelet Coherence to Evaluate Scale-dependent Relationships Between Precipitation/Surface Water and Groundwater Levels in a Groundwater System - Xiufen Gu; HongGuang Sun; Yong Zhang; Shujun Zhang; Chengpeng Lu (Water Resources Management, 2022)

Performance and Participants’ Decisions Analysis in Major Water Resources Allocation Project Based on Network Governance - Wujuan Zhai; Jiyong Ding; Zhuofu Wang; Leijie Ding (Water Resources Management, 2022)

Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content using Bootstrap Statistics - Uttam Singh; Pramod Kumar Sharma (Water Resources Management, 2022)

Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations - Manish Kumar; Ahmed Elbeltagi; Chaitanya B. Pande; Ali Najah Ahmed; Ming Fai Chow; Quoc Bao Pham; Anuradha Kumari; Deepak Kumar (Water Resources Management, 2022)

Application of Swarm Intelligence and Evolutionary Computation Algorithms for Optimal Reservoir Operation - Arya Yaghoubzadeh-Bavandpour; Omid Bozorg-Haddad; Mohammadreza Rajabi; Babak Zolghadr-Asli; Xuefeng Chu (Water Resources Management, 2022)

A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates - Youxin Wang; Tao Peng; Qingxia Lin; Vijay P. Singh; Xiaohua Dong; Chen Chen; Ji Liu; Wenjuan Chang; Gaoxu Wang (Water Resources Management, 2022)

Effects of Training Data on the Learning Performance of LSTM Network for Runoff Simulation - Anbang Peng; Xiaoli Zhang; Wei Xu; Yuanyang Tian (Water Resources Management, 2022)

Long-term stagnation monitoring using machine learning: comparison of artificial neural network model and convolution neural network model - Jaiyeop Lee; Ilho Kim (Water Resources Management, 2022)

Flow Resistance in Lowland Rivers Impacted by Distributed Aquatic Vegetation - Saeid Okhravi; Radoslav Schügerl; Yvetta Velísková (Water Resources Management, 2022)

Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China - Tao Gao; Yifei Xu; Huixia Judy Wang; Qiaohong Sun; Lian Xie; Fuqiang Cao (Water Resources Management, 2022)

Monthly Streamflow Modeling Based on Self-Organizing Maps and Satellite-Estimated Rainfall Data - Thiago Victor Medeiros do Nascimento; Celso Augusto Guimarães Santos; Camilo Allyson Simões de Farias; Richarde Marques da Silva (Water Resources Management, 2022)
Hydrological data provide valuable information for the decision-making process in water resources management, where long and complete time series are always desired. However, it is common to deal with missing data when working on streamflow time series. Rainfall-streamflow modeling is an alternative to overcome such a difficulty. In this paper, self-organizing maps (SOM) were developed to simulate monthly inflows to a reservoir based on satellite-estimated gridded precipitation time series. Three different calibration datasets from Três Marias Reservoir, composed of inflows (targets) and 91 TRMM-estimated rainfall data (inputs), from 1998 to 2019, were used. The results showed that the inflow data homogeneity pattern influenced the rainfall-streamflow modeling. The models generally showed superior performance during the calibration phase, whereas the outcomes varied depending on the data homogeneity pattern and the chosen SOM structure in the testing phase. Regardless of the input data homogeneity, the SOM networks showed excellent results for the rainfall-runoff modeling, presenting Nash–Sutcliffe coefficients greater than 0.90. Graphical Abstract

River Flood Susceptibility and Basin Maturity Analyzed Using a Coupled Approach of Geo-morphometric Parameters and SWAT Model - Shan-e-hyder Soomro; Caihong Hu; Muhammad Waseem Boota; Zubair Ahmed; Liu Chengshuai; Han Zhenyue; Li Xiang; Mairaj Hyder Alias Aamir Soomro (Water Resources Management, 2022)

Improved Process Management of Glacial Lake Outburst Flood Hazards by Integrating Modular Monitoring, Assessment, and Simulation - Xiang Wang; Guo Chen; Xiaoai Dai; Jingjing Zhao; Xian Liu; Yu Gao; Junmin Zhang; Yongjun Chen; Xiaozhen Li; Wenyi Qin; Peng Wang (Water Resources Management, 2022)

Groundwater Remediation Design Underpinned By Coupling Evolution Algorithm With Deep Belief Network Surrogate - Yu Chen; Guodong Liu; Xiaohua Huang; Yuchuan Meng (Water Resources Management, 2022)

An Accurate Leakage Localization Method for Water Supply Network Based on Deep Learning Network - Juan Li; Wenjun Zheng; Changgang Lu (Water Resources Management, 2022)

Study on Conveyance Coefficient Influenced by Momentum Exchange Under Steady and Unsteady Flows in Compound Open Channels - Hamidreza Rahimi; Saiyu Yuan; Xiaonan Tang; Chunhui Lu; Prateek Singh; Fariba Ahmadi Dehrashid (Water Resources Management, 2022)

Coupled Sharp-interface and Density-dependent Model for Simultaneous Optimization of Production Well Locations and Pumping in Coastal Aquifer - Subhajit Dey; Om Prakash (Water Resources Management, 2022)

Study on Urban Rainstorms Design Based on Multivariate Secondary Return Period - Jinping Zhang; Hang Zhang; Hongyuan Fang (Water Resources Management, 2022)

Comparative prioritization of sub-watersheds based on Flood Generation potential using physical, hydrological and co-managerial approaches - Ali Nasiri Khiavi; Mehdi Vafakhah; Seyed Hamidreza Sadeghi (Water Resources Management, 2022)

Extracting Optimal Rule Curve of Dam Reservoir Base on Stochastic Inflow - Ali Jalilian; Majeid Heydari; Arash Azari; Saeid Shabanlou (Water Resources Management, 2022)

Optimization of Groundwater Pumping and River-Aquifer Exchanges for Management of Water Resources - Mayank Bajpai; Shreyansh Mishra; Shishir Gaur; Anurag Ohri; Hervé Piégay; Didier Graillot (Water Resources Management, 2022)

Optimizing environmental flow regime by integrating river and reservoir ecosystems - Mahdi Sedighkia; Asghar Abdoli (Water Resources Management, 2022)

Probabilistic Assessment of Monthly River Discharge using Copula and OSVR Approaches - Mohammad Nazeri Tahroudi; Rasoul Mirabbasi; Yousef Ramezani; Farshad Ahmadi (Water Resources Management, 2022)

Environmental Assessment of a Wastewater System under Water demand management policies - Haniye Safarpour; Massoud Tabesh; Seyyed Ahmadreza Shahangian (Water Resources Management, 2022)

Environmental Factors Assisted the Evaluation of Entropy Water Quality Indices with Efficient Machine Learning Technique - Jingjing Xia; Jin Zeng (Water Resources Management, 2022)

A Novel Framework for Urban Flood damage Assessment - Fatemeh Yavari; Seyyed Ali Salehi Neyshabouri; Jafar Yazdi; Amir Molajou; Adam Brysiewicz (Water Resources Management, 2022)

Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision - Xin Hao; Heng Lyu; Ze Wang; Shengnan Fu; Chi Zhang (Water Resources Management, 2022)

Is There a Residual and Hidden Potential for Small and Micro Hydropower in Europe? A Screening-Level Regional Assessment - Emanuele Quaranta; Katalin Bódis; Egidijus Kasiulis; Aonghus McNabola; Alberto Pistocchi (Water Resources Management, 2022)
Small hydropower plants (installed power below 10 MW) are generally considered less impacting than larger plants, and this has stimulated their rapid spread, with a developing potential that is not exhausted yet. However, since they can cause environmental impacts, especially in case of cascade installations, there is the need to operate them in a more sustainable way, e.g. considering ecosystem needs and by developing low-impacting technologies. In this paper, an assessment was conducted to estimate how the environmental flow and the plant spatial density affect the small hydropower potential (considering run-of-river schemes, diversion type, DROR) in the European Union. The potential of DROR is 79 TWh/y under the strictest environmental constraints considered, and 1,710 TWh/y under the laxest constraints. The potential of low-impacting micro technologies (< 100 kW) was also assessed, showing that the economic potential of hydrokinetic turbines in rivers is 1.2 TWh/y, that of water wheels in old mills is 1.6 TWh/y, and the hydropower potential of water and wastewater networks is 3.1 TWh/y, at an average investment cost of 5,000 €/kW.

Assessing Socioeconomic Drought Based on a Standardized Supply and Demand Water Index - Jiawei Zhou; Xiaohong Chen; Chuang Xu; Pan Wu (Water Resources Management, 2022)

Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Gray Wolf Optimizer-Based Long Short-term Memory Neural Networks - Bao-Jian Li; Guo-Liang Sun; Yan Liu; Wen-Chuan Wang; Xu-Dong Huang (Water Resources Management, 2022)

Water Pipeline Leak Measurement Using Wavelet Packet-based Adaptive ICA - Mohanaprasad Kothandaraman; Zijian Law; Morris A. G. Ezra; Chang Hong Pua; Uma Rajasekaran (Water Resources Management, 2022)

Improving the Spatiotemporal Resolution of Soil Moisture through a Synergistic Combination of MODIS and LANDSAT8 Data - Sanaz Negahbani; Mehdi Momeni; Mina Moradizadeh (Water Resources Management, 2022)

Local Authority vs Community Visions of Dam Project Land Development: a Text Mining Approach - Danuta Piróg; Joanna Fidelus-Orzechowska; Łukasz Wiejaczka (Water Resources Management, 2022)

Decision Tree-Based Conditional Operation Rules for Optimal Conjunctive Use of Surface and Groundwater - Mina Khosravi; Abbas Afshar; Amir Molajou (Water Resources Management, 2022)

Permeable Asphalt Hydraulic Conductivity and Particulate Matter Separation With XRT - Mariana Marchioni; Roberto Fedele; Anita Raimondi; John Sansalone; Gianfranco Becciu (Water Resources Management, 2022)
Permeable asphalt (PA) is a composite material with an open graded mix design that provides a pore structure facilitating stormwater infiltration. PA is often constructed as a wearing course for permeable pavements and on impervious pavements to reduce aquaplaning and noise. The pore structure of PA functions as a filter promoting particulate matter (PM) separation. The infiltrating flow characteristics are predominately dependent on pore diameter and pore interconnectivity. X-Ray microTomography (XRT) has successfully estimated these parameters that are otherwise difficult to obtain through conventional gravimetric methods. Pore structure parameters allow modeling of hydraulic conductivity (k) and filtration mechanisms; required to examine the material behavior for infiltration and PM separation. In this study, pore structure parameters were determined through XTR for three PA mixture designs. Additionally, the Kozeny-Kovàv model was implemented to estimate k. PM separation was evaluated using a pore-to-PM diameter categorical model. This filtration mechanism model was validated with data from a rainfall simulator. The filtration model provided a good correlation between measured and modeled data. The identification of filtration mechanisms and k facilitate the design and evaluation of permeable pavement systems as a best management practice (BMP) for runoff volume and peak flow as well as PM and PM-partitioned chemical separation.

A risk-based decision model for rainwater resource supply in forward contracts - Yu Zhang; Haifei Sha; Xiufeng Wu; Shiqiang Wu; Jiangyu Dai; Bin Xu; Lei Yu; Qianqian Yang (Water Resources Management, 2022)

Decomposition of Cost Efficiency Into Persistent and Transient Efficiency in the Provision of Water Services: Evidence from England and Wales - Maria Molinos-Senante; Alexandros Maziotis (Water Resources Management, 2022)

Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization - Saeed Mozaffari; Saman Javadi; Hamid Kardan Moghaddam; Timothy O. Randhir (Water Resources Management, 2022)

Spatial Analysis and Failure Management in Water Distribution Networks Using Fuzzy Inference System - Zahra Pouri; Morteza Heidarimozaffar (Water Resources Management, 2022)

Cause-driven Streamflow Forecasting Framework Based on Linear Correlation Reconstruction and Long Short-term Memory - Yani Lian; Jungang Luo; Wei Xue; Ganggang Zuo; Shangyao Zhang (Water Resources Management, 2022)

Changes in Irrigation Planning and Development Parameters Due to Climate Change - Lanie A. Alejo; Arlen S. Alejandro (Water Resources Management, 2022)

A Hybrid DPSR and Entropy-Weight-Based Uncertain Comprehensive Evaluation Method for Human-Water Harmony Assessment - Xiaona Li; Weimin Ma; Xiaosheng Wang; Longfei Zhang (Water Resources Management, 2022)

A Modified Fu (1981) Equation with a Time-varying Parameter that Improves Estimates of Inter-annual Variability in Catchment Water Balance - Shuai Li; Tao Du; Christopher James Gippel (Water Resources Management, 2022)

Dealing with Zero Flows in the Simulation of Water Distribution Networks with Low-Resistance Pipes Using the Global Gradient Algorithm - Nikolai B. Gorev; Vyacheslav N. Gorev; Inna F. Kodzhespirova; Igor A. Shedlovsky; P. Sivakumar (Water Resources Management, 2022)

Experimental and Numerical Investigation on Hydraulic Performance of Slit-check Dams in Subcritical Flow Condition - Mehmet Cihan Aydin; Havva Seda Aytemur; Ali Emre Ulu (Water Resources Management, 2022)

Impact of water conservation structures on the agricultural productivity in the context of climate change - Vamsi Krishna Vema; K. P. Sudheer; A. N. Rohith; I. Chaubey (Water Resources Management, 2022)

A Shift Towards Integrated and Adaptive Water Management in South Korea: Building Resilience Against Climate Change - Minha Lee; Heejung Kim; Jin-Yong Lee; Jae E. Yang; Chungwan Lim (Water Resources Management, 2022)

Study on the Early Warning for Flash Flood Based on Random Rainfall Pattern - Wenlin Yuan; Lu Lu; Hanzhen Song; Xiang Zhang; Linjuan Xu; Chengguo Su; Meiqi Liu; Denghua Yan; Zening Wu (Water Resources Management, 2022)

The Economic Impact of Payments for Water-related Ecosystem Services on Protected Areas: a Synthetic Control Analysis - Jianmei Zhang; Jiwei Zhu; Yu Liu; Nan Lu; Wenxing Fang (Water Resources Management, 2022)

Water Resources Liability Measurement and the Driving Factors of Water Resources Liability Intensity - Dan-dan Zhang; Ju-qin Shen; Fu-hua Sun (Water Resources Management, 2022)

Development of Low Flow Duration-Frequency Curves by Hybrid Frequency Analysis - Selen Orta; Hafzullah Aksoy (Water Resources Management, 2022)

Using Game Theory to Assign Groundwater Pumping Schedules - Nikolaos Nagkoulis; Konstantinos L. Katsifarakis (Water Resources Management, 2022)

An Efficient Optimization Method for Long-term Power Generation Scheduling of Hydropower Station: Improved Dynamic Programming with a Relaxation Strategy - Zhongzheng He; Chao Wang; Yongqiang Wang; Hairong Zhang; Heng Yin (Water Resources Management, 2022)

Suitability Evaluation of Cultivated Land Reserved Resources in Arid Areas Based on Regional Water Balance - Xing Liu; Zhaoyang Cai; Yan Xu; Huihui Zheng; Kaige Wang; Fengrong Zhang (Water Resources Management, 2022)

Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model - Ying Chen; Binbin Lu; Chongyu Xu; Xingwei Chen; Meibing Liu; Lu Gao; Haijun Deng (Water Resources Management, 2022)

A New Estimation Method for Copula Parameters for Multivariate Hydrological Frequency Analysis With Small Sample Sizes - Longxia Qian; Yong Zhao; Jianhong Yang; Hanlin Li; Hongrui Wang; ChengZu Bai (Water Resources Management, 2022)

Runoff Simulation Under Future Climate Change Conditions: Performance Comparison of Data-Mining Algorithms and Conceptual Models - Icen Yoosefdoost; Abbas Khashei-Siuki; Hossein Tabari; Omolbani Mohammadrezapour (Water Resources Management, 2022)

The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates - Menghao Wang; Shanhu Jiang; Liliang Ren; Chong-Yu Xu; Linyong Wei; Hao Cui; Fei Yuan; Yi Liu; Xiaoli Yang (Water Resources Management, 2022)

Consumer Perception and Behavior Toward Water Supply, Demand, Water Tariff, Water Quality, and Willingness-To-Pay: A Cross Sectional Study - Toqeer Ahmed; Hassaan Sipra; Muhammad Zahir; Anwar Ahmad; Mumtaz Ahmed (Water Resources Management, 2022)

A Runoff Prediction Model Based on Nonhomogeneous Markov Chain - Wei Li; Xiaosheng Wang; Shujiang Pang; Haiying Guo (Water Resources Management, 2022)

A Multi-imputation Method to Deal With Hydro-Meteorological Missing Values by Integrating Chain Equations and Random Forest - Xin Jing; Jungang Luo; Jingmin Wang; Ganggang Zuo; Na Wei (Water Resources Management, 2022)

Meshless Local Strong Form-based Method for Transport Simulation of Nonlinearly Adsorbing Solutes in a Highly Heterogeneous Confined Aquifer - Aatish Anshuman; T. I. Eldho (Water Resources Management, 2022)

Relationship of Water Stress and Flood Damage for Sustainable Development - Vinita Yadav; Zeeshan Ibrar (Water Resources Management, 2022)

Uncertainty Analysis of Flood Control Design Under Multiple Floods - Yuming Huang; Yanjie Li; Min Liu; Liang Xiao; Fuwan Gan; Jian Jiao (Water Resources Management, 2022)

Temporal Stability Analysis for the Evaluation of Spatial and Temporal Patterns of Surface Water Quality - Xiaobin Zhang; Ligang Ma; Yihang Zhu; Weidong Lou; Baoliang Xie; Li Sheng; Hao Hu; Kefeng Zheng; Qing Gu (Water Resources Management, 2022)

Investigation of Drought Trend on the Basis of the Best Obtained Drought Index - Neda Khanmohammadi; Hossein Rezaie; Javad Behmanesh (Water Resources Management, 2022)

Calibration of a Distributed Hydrological Model (VIC-3L) Based on Global Water Resources Reanalysis Datasets - Sakine Koohi; Asghar Azizian; Luca Brocca (Water Resources Management, 2022)

Construction and Empirical Analysis of Citizens' Water Literacy Evaluation Index System: A Structural Equation Model - Tian Kang (Water Resources Management, 2022)

Discharge Redistribution as a Key Process for Heuristic Optimization of Energy Production with Pumps as Turbines in a Water Distribution Network - Thomas Pirard; Vasileios Kitsikoudis; Sebastien Erpicum; Michel Pirotton; Pierre Archambeau; Benjamin Dewals (Water Resources Management, 2022)

A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model - Soumyashree Dixit; K. V. Jayakumar (Water Resources Management, 2022)

Failure Prediction of Municipal Water Pipes Using Machine Learning Algorithms - Wei Liu; Binhao Wang; Zhaoyang Song (Water Resources Management, 2022)

Conservation Policy Changes in Protected Areas on Hilltops in Brazil: Effects on Hydrological Response in a Small Watershed - Ulises Rodrigo Magdalena; Cristiane Nunes Francisco; Lucas Garofolo Lopes; Daniel Andrés Rodriguez (Water Resources Management, 2022)

A Comparative Study of Artificial Intelligence Models and A Statistical Method for Groundwater Level Prediction - Mojtaba Poursaeid; Amir Houssain Poursaeid; Saeid Shabanlou (Water Resources Management, 2022)

Acknowledgement of Reviewers 2021 - George Tsakiris (Water Resources Management, 2022)

Headwater-to-consumer Drinking Water Security Assessment Framework and Associated Indicators for Small Communities in High-income Countries - B. Deb Nath; C. J. Schuster-Wallace; S. E. Dickson-Anderson (Water Resources Management, 2022)

Evaluation of the Impact of Best Management Practices on Streamflow, Sediment and Nutrient Yield at Field and Watershed Scales - Avay Risal; Prem B. Parajuli (Water Resources Management, 2022)
Evaluating Best Management Practices (BMPs) in watersheds using hydrologic and water quality models can help to establish an effective watershed water management. Soil and Water Assessment Tool (SWAT) was applied to Big Sunflower River Watershed (BSRW) and the Stovall Sherard Watershed (SSW) to evaluate BMP’s impact at watershed and field scale watersheds respectively. SWAT was calibrated and validated for streamflow, sediment yield, total nitrogen (TN), and total phosphorous (TP) at outlets of three sub-basins of the BSRW, and within the SSW. BMP scenarios of check-dam, tail water pond, vegetative filter strips (VFS), nutrient management, and tillage management were evaluated for their efficacy in reducing streamflow, sediment yield, and nutrient loads at field and watershed scales. The VFS was determined as the most effective BMP in decreasing sediment yield, TN, and TP at both field and watershed scales. At field scale, reduction of sediment yield, TN, and TP by VFS ranged from 8 to 12%, 71% to 98%, and 72% to 99% respectively and at watershed scale, reduction of sediment yield, TN, and TP by VFS ranged from 12 to 38%, 29% to 87%, and 42% to 99% respectively. The application of conservation and zero tillage operation showed reduction in sediment yield by 1% to 2% respectively but increased TN and TP by 2% to 25% at field and watershed scale watersheds. This study will help in managing water at field and watershed scale watersheds regarding BMPs selection and implementation. Graphical Abstract

Study on Runoff Control Effect of Different Drainage Schemes in Sponge Airport - Jing Peng; Lei Yu; Xiang Zhong; Tiansong Dong (Water Resources Management, 2022)

Improving River-Stage Forecasting Using Hybrid Models Based on the Combination of Multiple Additive Regression Trees and Runge–Kutta Schemes - Jiun-Huei Jang; Kun-Fang Lee; Jin-Cheng Fu (Water Resources Management, 2022)

Green Roof Hydrological Modelling With GRU and LSTM Networks - Haowen Xie; Mark Randall; Kwok-wing Chau (Water Resources Management, 2022)

A comparative Appraisal of Classical and Holistic Water Scarcity Indicators - Zafar Hussain; Zongmin Wang; Jiaxue Wang; Haibo Yang; Muhammad Arfan; Daniyal Hassan; Wusen Wang; Muhammad Imran Azam; Muhammad Faisal (Water Resources Management, 2022)

Correction to: Monitoring and Predicting Saltwater Intrusion via Temporal Aquifer Vulnerability Maps and Surrogate Models - Fatemeh Faal; Hamid Reza Ghafouri; Seyed Mohammad Ashrafi (Water Resources Management, 2022)

A Distress-Based Condition Assessment Approach of Urban Water Assets Using Novel Deterioration Indices - Marta Cabral; Dália Loureiro; Inês Flores-Colen; Dídia Covas (Water Resources Management, 2022)

Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method - Seung Taek Chae; Eun-Sung Chung; Jiping Jiang (Water Resources Management, 2022)

Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi-Step Ahead Time-Varying Hedging Rule - Soe Thiha; Asaad Y. Shamseldin; Bruce W. Melville (Water Resources Management, 2022)
This paper aims to improve summer power generation of the Yeywa Hydropower Reservoir in Myanmar using the modified multi-step ahead time-varying hedging (TVH) rule as a case study. The results of the TVH rules were compared with the standard operation policy (SOP) rule, the binary standard operation policy (BSOP) rule, the discrete hedging (DH) rule, the standard hedging (SH) rule, the one-point hedging (OPH) rule, and the two-point hedging (TPH) rule. The Multi-Objective Genetic Algorithm (MOGA) was utilized to drive the optimal Pareto fronts for the hedging rules. The results demonstrated that the TVH rules had higher performance than the other rules and showed improvements in power generation not only during the summer period but also over the entire period.

Medium and Long-term Precipitation Prediction Using Wavelet Decomposition-prediction-reconstruction Model - Yongtao Wang; Jian Liu; Rong Li; Xinyu Suo; EnHui Lu (Water Resources Management, 2022)

Combined Management of Groundwater Resources and Water Supply Systems at Basin Scale Under Climate Change - Giada Felisa; Giulio Panini; Pietro Pedrazzoli; Vittorio Di Federico (Water Resources Management, 2022)
Water stress conditions associated with population growth, climate change, and groundwater contamination, represent a significant challenge for all stakeholders in the water sector. Increasing the resilience of Water Supply Systems (WSSs) becomes of fundamental importance: along with an adequate level of service, sustainability targets must be ensured. A long-term management strategy is strictly connected to a holistic approach, based on analyses at different scales. To this end, both groundwater modeling tools and water management models, with different spatial and temporal scales, are routinely and independently employed. Here, we propose a coupled approach combining: i) groundwater models (MODFLOW) to investigate different stress scenarios, involving climate change and anthropic activities; ii) water management models (Aquator), to assess the water resources availability and the best long-term management strategy for large-scale WSS. The management models are implemented starting from input and output flows derived by groundwater models: this leads to establish a comprehensive framework usually not defined in management models and including a quantitative characterization of the aquifer. The proposed methodology, general and applicable to any study area, is here implemented to the WSS of Reggio Emilia Province, and its main groundwater resource, the Enza aquifer, considering three different stress scenarios for groundwater models (BAU, ST1, and ST2), and for management strategies (BAU, BAU RV2 , ST2). Among the key results, we observe that coupling the two model types: i) allows evaluating water resources availability in connection with management rules; ii) leads to examining more realistic operation choices; iii) permits planning of infrastructures at basin scale.

Effects of Diversion Wall on the Hydrodynamics and Withdrawal Sediment of A Lateral Intake - Wenlong Zhao; Jian Zhang; Wei He; Lin shi; Xuyun Chen (Water Resources Management, 2022)

Bivariate Simulation of Potential Evapotranspiration Using Copula-GARCH Model - Mohammad Nazeri-Tahroudi; Yousef Ramezani; Carlo De Michele; Rasoul Mirabbasi (Water Resources Management, 2022)

Sustainable Conjunctive Water Use Modeling Using Dual Fitness Particle Swarm Optimization Algorithm - Farshad Rezaei; Hamid R. Safavi (Water Resources Management, 2022)

The Role of Small Reservoirs in a Water Scarcity Scenario: a Computational Approach - Silvia Di Francesco; Stefano Casadei; Ilaria Di Mella; Francesca Giannone (Water Resources Management, 2022)