Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool - Fabio V. Difonzo; Costantino Masciopinto; Michele Vurro; Marco Berardi (Water Resources Management, 2021)

Middle- and Long-Term Streamflow Forecasting and Uncertainty Analysis Using Lasso-DBN-Bootstrap Model - Haibo Chu; Jiahua Wei; Yuan Jiang (Water Resources Management, 2021)

An Uncertainty-Based Regional Comparative Analysis on the Performance of Different Bias Correction Methods in Statistical Downscaling of Precipitation - Reyhaneh Rahimi; Hassan Tavakol-Davani; Mohsen Nasseri (Water Resources Management, 2021)

Untapped Knowledge about Water Reuse: the Roles of Direct and Indirect Educational Messaging - Jesse L. Barnes; Anjala S. Krishen; Han-fen Hu (Water Resources Management, 2021)

Estimation of the Interaction Between Groundwater and Surface Water Based on Flow Routing Using an Improved Nonlinear Muskingum-Cunge Method - Chengpeng Lu; Keyan Ji; Wanjie Wang; Yong Zhang; Tema Koketso Ealotswe; Wei Qin; Jiayun Lu; Bo Liu; Longcang Shu (Water Resources Management, 2021)

Calibration of Design Models for Leakage Management of Water Distribution Networks - L. Berardi; O. Giustolisi (Water Resources Management, 2021)
Water losses in urban water distribution networks (WDN) accelerate the deterioration of such infrastructures. The enhanced hydraulic modelling provides a phenomenological representation of WDN hydraulics, including the modelling of leakages as function of pipe average pressure and deterioration. The methodological use of such models on real WDN was demonstrated to support the planning of leakage management actions. Nonetheless, many water utilities are still in the process of designing flow/pressure monitoring, thus data available are not enough to perform detailed calibration of such models. This work presents a physically based approach for the calibration of WDN hydraulic models aimed at supporting leakage management plans since early stages. The proposed procedure leverages the key role of mass balance in enhanced hydraulic models and the technical insight on pipe deterioration mechanisms for various quantity and quality of available data. Two calibration studies of real WDNs demonstrate the feasibility of the approach and show that the distribution of leakages in the WDN does not much influence the pressure values, which confirms the need for flow measurements at monitoring districts for leakage and asset management.

Agricultural Water Use Efficiency and Driving Force Assessment to Improve Regional Productivity and Effectiveness - Xinchun Cao; Jianfeng Xiao; Mengyang Wu; Wen Zeng; Xuan Huang (Water Resources Management, 2021)

Random Walks Partitioning and Network Reliability Assessing in Water Distribution System - Tianwei Mu; Yan Lu; Haoqiang Tan; Haowen Zhang; Chengzhi Zheng (Water Resources Management, 2021)

Methodology to Evaluate Aquifers Water Budget Alteration Due to Climate Change Impact on the Snow Fraction - José-Luis Molina; Susana Lagüela; Santiago Zazo (Water Resources Management, 2021)

Fictitious Component Free - Pressure Deficient Network Algorithm for Water Distribution Network with Variable Minimum and Required Pressure-Heads - K. S. Jinesh Babu (Water Resources Management, 2021)

Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs - Wen-jing Niu; Zhong-kai Feng; Yu-rong Li; Shuai Liu (Water Resources Management, 2021)

Performance Assessment of a Water Delivery Canal to Improve Agricultural Water Distribution - Seyed Mehdi Seyed Hoshiyar; Nader Pirmoradian; Afshin Ashrafzadeh; Atefeh Parvaresh Rizi (Water Resources Management, 2021)

Distributed Simulation‐optimization Model for Conjunctive Use of Groundwater and Surface Water Under Environmental and Sustainability Restrictions - Mulu Sewinet Kerebih; Ashok K. Keshari (Water Resources Management, 2021)

Optimal Design of Barrage Profile on Anisotropic Soil Using Multi‐Objective Optimization Approach - Arjun Prasad; Raj Mohan Singh; S. K. Duggal (Water Resources Management, 2021)

Flood Wave Superposition Analysis Using Quantitative Matching Patterns of Peak Magnitude and Timing in Response to Climate Change - Qiumei Ma; Lihua Xiong; Chong-Yu Xu; Rongrong Li; Changming Ji; Yanke Zhang (Water Resources Management, 2021)

Developing Water Cycle Algorithm for Optimal Operation in Multi-reservoirs Hydrologic System - Hamid Reza Yavari; Amir Robati (Water Resources Management, 2021)

Assessment of Effective Monitoring Sites in a Reservoir Watershed by Support Vector Machine Coupled with Multi-Objective Genetic Algorithm for Sediment Flux Prediction during Typhoons - Bing-Chen Jhong; Hsi-Ting Fang; Cheng-Chia Huang (Water Resources Management, 2021)

Influence of Inflow Nonstationarity on the Multipurpose Optimal Operation of Hydropower Plants Using Nonlinear Programming - Alan de Gois Barbosa; Alcigeimes B. Celeste; Ludmilson Abritta Mendes (Water Resources Management, 2021)

Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling - Amir Molajou; Vahid Nourani; Abbas Afshar; Mina Khosravi; Adam Brysiewicz (Water Resources Management, 2021)

Synergetic Theory-Based Water Resource Allocation Model - Xiaojing Shen; Xu Wu; Xinmin Xie; Chuanjiang Wei; Liqin Li; Jingjing Zhang (Water Resources Management, 2021)

Long-Term Joint Operation of Cascade Reservoirs Using Enhanced Progressive Optimality Algorithm and Dynamic Programming Hybrid Approach - Jia Chen (Water Resources Management, 2021)

An Analytical Risk Analysis Method for Reservoir Flood Control Operation Considering Forecast Information - Yawei Ning; Wei Ding; Guohua Liang; Bin He; Huicheng Zhou (Water Resources Management, 2021)

SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events - Ravindra Kumar Verma; Sangeeta Verma; Surendra Kumar Mishra; Ashish Pandey (Water Resources Management, 2021)

Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI - Changchun Xu; Xicheng Zhang; Jinxia Zhang; Yapeng Chen; Teshome L. Yami; Yang Hong (Water Resources Management, 2021)

Uncertainty Quantification of Water Level Predictions from Radar‐based Areal Rainfall Using an Adaptive MCMC Algorithm - Duc Hai Nguyen; Seon-Ho Kim; Hyun-Han Kwon; Deg-Hyo Bae (Water Resources Management, 2021)

Improved Network Reliability Optimization Model with Head Loss for Water Distribution System - Tianwei Mu; Yaqi Li; Ziyi Li; Luyue Wang; Haoqiang Tan; Chengzhi Zheng (Water Resources Management, 2021)

Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps - Jiun-Huei Jang; Petr Vohnicky; Yen-Lien Kuo (Water Resources Management, 2021)

Simulated Optimal Operation Policies of a Reservoir System Obtained with Continuous Functions Using Synthetic Inflows - Omar A. de la Cruz Courtois; Maritza Liliana Arganis Juárez; Delva Guichard Romero (Water Resources Management, 2021)

A Multi-Index Evaluation System for Identifying the Optimal Configuration of LID Facilities in the Newly Built and Built-up Urban Areas - Jiake Li; Yutong Yao; Menghua Ma; Yajiao Li; Jun Xia; Xujun Gao (Water Resources Management, 2021)

Identification of Sensitive Parameters of Urban Flood Model Based on Artificial Neural Network - Zening Wu; Bingyan Ma; Huiliang Wang; Caihong Hu; Hong Lv; Xiangyang Zhang (Water Resources Management, 2021)

Comparing Optimal Hedging Policies Incorporating Past Operation Information and Future Hydrologic Information - Jenq-Tzong Shiau; Hsu-Hui Wen; I-Wen Su (Water Resources Management, 2021)

Accounting of Transboundary Ecocompensation Standards Based on Water Quantity Allocation and Water Quality Control Targets - Cailian Hao; Denghua Yan; Mohammed Gedefaw; Tianling Qin; Hao Wang; Zhilei Yu (Water Resources Management, 2021)

A Comparative Assessment of Metaheuristic Optimized Extreme Learning Machine and Deep Neural Network in Multi-Step-Ahead Long-term Rainfall Prediction for All-Indian Regions - Radhikesh Kumar; Maheshwari Prasad Singh; Bishwajit Roy; Afzal Hussain Shahid (Water Resources Management, 2021)

Groundwater Level Forecast Via a Discrete Space-State Modelling Approach as a Surrogate to Complex Groundwater Simulation Modelling - Dilip Kumar Roy; Sujit Kumar Biswas; Kowshik Kumar Saha; Khandakar Faisal Ibn Murad (Water Resources Management, 2021)

The Influence of Dam Construction on the Catchment Hydrologic Behavior and its Effects on a Discharge Forecast in Hydrological Models - Abebe Tadesse Bulti (Water Resources Management, 2021)

Sensitivity of Water Price Elasticity Estimates to Different Data Aggregation Levels - Yarela Flores Arévalo; Roberto D. Ponce Oliva; Francisco J. Fernández; Felipe Vásquez-Lavin (Water Resources Management, 2021)

Solving Hydropower Unit Commitment Problem Using a Novel Sequential Mixed Integer Linear Programming Approach - Alireza Amani; Hosein Alizadeh (Water Resources Management, 2021)

Hydrological Process Simulation of Sluice-Controlled Rivers in the Plains Area of China Based on an Improved SWAT Model - Rong Gan; Changzheng Chen; Jie Tao; Yongqiang Shi (Water Resources Management, 2021)

Evaluating the Performance of Agricultural Water Distribution Systems Using FIS, ANN and ANFIS Intelligent Models - Habibeh Sharifi; Abbas Roozbahani; Seied Mehdy Hashemy Shahdany (Water Resources Management, 2021)

K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling - Alireza Arabameri; Aman Arora; Subodh Chandra Pal; Satarupa Mitra; Asish Saha; Omid Asadi Nalivan; Somayeh Panahi; Hossein Moayedi (Water Resources Management, 2021)

Contrasting Uncertainties in Estimating Floods and Low Flow Extremes - Hadush Meresa; Yongqiang Zhang (Water Resources Management, 2021)

From Changing Environment to Changing Extremes: Exploring the Future Streamflow and Associated Uncertainties Through Integrated Modelling System - Srishti Gaur; Arnab Bandyopadhyay; Rajendra Singh (Water Resources Management, 2021)

A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses - Shuang Yao; Nengcheng Chen; Wenying Du; Chao Wang; Cuizhen Chen (Water Resources Management, 2021)

Energy Recovery in Pressurized Hydraulic Networks - Ángel Mariano Rodríguez-Pérez; Cinta Pérez-Calañas; Inmaculada Pulido-Calvo (Water Resources Management, 2021)

An Ensemble-Learning-Based Method for Short-Term Water Demand Forecasting - Haidong Huang; Zhixiong Zhang; Fengxuan Song (Water Resources Management, 2021)

Reference Evapotranspiration Prediction Using Neural Networks and Optimum Time Lags - Milan Gocić; Mohammad Arab Amiri (Water Resources Management, 2021)

Optimal Operation of a Parallel Multireservoir System for Flood Control using a Stagewise Compensation Method - Di Zhu; Yadong Mei; Xinfa Xu; Zhangjun Liu; Zhenhui Wu; Hao Cai (Water Resources Management, 2021)

Development of a Predictive Equation for Modelling the Infiltration Process Using Gene Expression Programming - Tabasum Rasool; A. Q. Dar; M. A. Wani (Water Resources Management, 2021)

Shifting from Production-Based to Consumption-Based Nexus Governance: Evidence from an Input–Output Analysis of the Local Water-Energy-Food Nexus - Daohan Huang; Zihao Shen; Chengshuang Sun; Guijun Li (Water Resources Management, 2021)

An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method - Fei Guo; Jingjia Zhang; A-xing Zhu; Zhuo Zhang; Hong Zhang (Water Resources Management, 2021)

Application of HEC-HMS Parameter Regionalization in Small Watershed of Hilly Area - Xu Cheng; Xixia Ma; Wusen Wang; Yao Xiao; Qianli Wang; Xinxin Liu (Water Resources Management, 2021)

Application of LiDAR UAV for High-Resolution Flood Modelling - Bingyao Li; Jingming Hou; Donglai Li; Dong Yang; Hao Han; Xu Bi; Xinghua Wang; Reinhard Hinkelmann; Junqiang Xia (Water Resources Management, 2021)

A BIM-Based Safety Management Framework for Operation and Maintenance in Water Diversion Projects - Ting Liu; Sherong Zhang; Chao Wang (Water Resources Management, 2021)

Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments - Xiaoyan Zhai; Liang Guo; Ronghua Liu; Yongyong Zhang; Yongqiang Zhang (Water Resources Management, 2021)

A Methodical Assessment of Floodplains in Mixed Land Covers Encompassing Bridges in Alabama State: Implications of Spatial Land Cover Characteristics on Flood Vulnerability - Pooja P. Preetha; Niloufar Shirani-bidabadi; Ashraf Z. Al-Hamdan; Michael Anderson (Water Resources Management, 2021)

Assessing the Impact of Climate Change on Future Water Demand using Weather Data - Diana Fiorillo; Zoran Kapelan; Maria Xenochristou; Francesco De Paola; Maurizio Giugni (Water Resources Management, 2021)
Assessing the impact of climate change on water demand is a challenging task. This paper proposes a novel methodology that quantifies this impact by establishing a link between water demand and weather based on climate change scenarios, via Coupled General Circulation Models. These models simulate the response of the global climate system to increasing greenhouse gas concentrations by reproducing atmospheric and ocean processes. In order to establish the link between water demand and weather, Random Forest models based on weather variables were used. This methodology was applied to a district metered area in Naples (Italy). Results demonstrate that the total district water demand may increase by 9–10% during the weeks with the highest temperatures. Furthermore, results show that the increase in water demand changes depending on the social characteristics of the users. The water demand of employed users with high education may increase by 13–15% when the highest temperatures occur. These increases can seriously affect the capacity and operation of existing water systems.

Dam Hydrological Risk and the Design Flood Under Non-stationary Conditions - Leandro José Isensee; Adilson Pinheiro; Daniel Henrique Marco Detzel (Water Resources Management, 2021)

Optimal Design and Operation of a Hydropower Reservoir Plant Using a WEAP-Based Simulation–Optimization Approach - Amir Hatamkhani; Mojtaba Shourian; Ali Moridi (Water Resources Management, 2021)

Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas - Victoria M. Garibay; Margaret W. Gitau; Nicholas Kiggundu; Daniel Moriasi; Fulgence Mishili (Water Resources Management, 2021)

Experimental and Numerical Study of Discharge Capacity and Sediment Profile Upstream of Piano Key Weirs with Different Plan Geometries - Amiya Abhash; K. K. Pandey (Water Resources Management, 2021)

Effects of L-Moments, Maximum Likelihood and Maximum Product of Spacing Estimation Methods in Using Pearson Type-3 Distribution for Modeling Extreme Values - Muhammad Shafeeq ul Rehman Khan; Zamir Hussain; Ishfaq Ahmad (Water Resources Management, 2021)

Surrogate-Based Stochastic Multiobjective Optimization for Coastal Aquifer Management under Parameter Uncertainty - Zheng Han; Wenxi Lu; Yue Fan; Jianan Xu; Jin Lin (Water Resources Management, 2021)

Application of a Novel Jaya Algorithm Based on Chaotic Sequence and Opposition-based Learning in the Multi-objective Optimal Operation of Cascade Hydropower Stations System - Yiming Wei; Zengchuan Dong (Water Resources Management, 2021)

Flood Hazard Mapping in Alluvial Fans with Computational Modeling - Sofia Melo Vasconcellos; Masato Kobiyama; Fernanda Stachowski Dagostin; Claudia Weber Corseuil; Vinicius Santana Castiglio (Water Resources Management, 2021)

A Community-Structure-Based Method for Estimating the Fractal Dimension, and its Application to Water Networks for the Assessment of Vulnerability to Disasters - C. Giudicianni; A. Di Nardo; R. Greco; A. Scala (Water Resources Management, 2021)
Most real-world networks, from the World-Wide-Web to biological systems, are known to have common structural properties. A remarkable point is fractality, which suggests the self-similarity across scales of the network structure of these complex systems. Managing the computational complexity for detecting the self-similarity of big-sized systems represents a crucial problem. In this paper, a novel algorithm for revealing the fractality, that exploits the community structure principle, is proposed and then applied to several water distribution systems (WDSs) of different size, unveiling a self-similar feature of their layouts. A scaling-law relationship, linking the number of clusters necessary for covering the network and their average size is defined, the exponent of which represents the fractal dimension. The self-similarity is then investigated as a proxy of recurrent and specific response to multiple random pipe failures – like during natural disasters – pointing out a specific global vulnerability for each WDS. A novel vulnerability index, called Cut-Vulnerability is introduced as the ratio between the fractal dimension and the average node degree, and its relationships with the number of randomly removed pipes necessary to disconnect the network and with some topological metrics are investigated. The analysis shows the effectiveness of the novel index in describing the global vulnerability of WDSs.

Operation Policies through Dynamic Programming and Genetic Algorithms, for a Reservoir with Irrigation and Water Supply Uses - Rosalva Mendoza Ramírez; Maritza Liliana Arganis Juárez; Ramón Domínguez Mora; Luis Daniel Padilla Morales; Óscar Arturo Fuentes Mariles; Alejandro Mendoza Reséndiz; Eliseo Carrizosa Elizondo; Rafael Bernardo Carmona Paredes (Water Resources Management, 2021)

Methodology for Allocation of Best Management Practices Integrated with the Urban Landscape - Ana Luiza Melo Rodrigues; Demetrius David da Silva; Frederico Carlos Martins de Menezes Filho (Water Resources Management, 2021)

Numerical Study of the Dynamics and Structure of a Partial Dam-Break Flow Using the VOF Method - Alireza Khoshkonesh; Blaise Nsom; Farhad Bahmanpouri; Fariba Ahmadi Dehrashid; Atefeh Adeli (Water Resources Management, 2021)

A GIS-based Land Cover Classification Approach Suitable for Fine‐scale Urban Water Management - Oscar H. Hiscock; Yannick Back; Manfred Kleidorfer; Christian Urich (Water Resources Management, 2021)

Advancing the Water Footprint into an Instrument to Support Achieving the SDGs – Recommendations from the “Water as a Global Resources” Research Initiative (GRoW) - Markus Berger; Jazmin Campos; Mauro Carolli; Ianna Dantas; Silvia Forin; Ervin Kosatica; Annika Kramer; Natalia Mikosch; Hamideh Nouri; Anna Schlattmann; Falk Schmidt; Anna Schomberg; et al. (Water Resources Management, 2021)
The water footprint has developed into a widely-used concept to examine water use and resulting local impacts caused during agricultural and industrial production. Building on recent advancements in the water footprint concept, it can be an effective steering instrument to support, inter alia, achieving sustainable development goals (SDGs) - SDG 6 in particular. Within the research program “Water as a Global Resource” (GRoW), an initiative of the Federal Ministry for Education and Research, a number of research projects currently apply and enhance the water footprint concept in order to identify areas where water is being used inefficiently and implement practical optimization measures (see imprint for more information). With this paper, we aim to raise awareness on the potential of the water footprint concept to inform decision-making in the public and private sectors towards improved water management and achieving the SDGs.

Burst Detection by Water Demand Nowcasting Based on Exogenous Sensors - Caspar V. C. Geelen; Doekle R. Yntema; Jaap Molenaar; Karel J. Keesman (Water Resources Management, 2021)
Bursts of drinking water pipes not only cause loss of drinking water, but also damage below and above ground infrastructure. Short-term water demand forecasting is a valuable tool in burst detection, as deviations between the forecast and actual water demand may indicate a new burst. Many of burst detection methods struggle with false positives due to non-seasonal water consumption as a result of e.g. environmental, economic or demographic exogenous influences, such as weather, holidays, festivities or pandemics. Finding a robust alternative that reduces the false positive rate of burst detection and does not rely on data from exogenous processes is essential. We present such a burst detection method, based on Bayesian ridge regression and Random Sample Consensus. Our exogenous nowcasting method relies on signals of all nearby flow and pressure sensors in the distribution net with the aim to reduce the false positive rate. The method requires neither data of exogenous processes, nor extensive historical data, but only requires one week of historical data per flow/pressure sensor. The exogenous nowcasting method is compared with a common water demand forecasting method for burst detection and shows sufficiently higher Nash-Sutcliffe model efficiencies of 82.7% - 90.6% compared to 57.9% - 77.7%, respectively. These efficiency ranges indicate a more accurate water demand prediction, resulting in more precise burst detection.

A Hybrid VMD-SVM Model for Practical Streamflow Prediction Using an Innovative Input Selection Framework - Erhao Meng; Shengzhi Huang; Qiang Huang; Wei Fang; Hao Wang; Guoyong Leng; Lu Wang; Hao Liang (Water Resources Management, 2021)

A Committee Evolutionary Neural Network for the Prediction of Combined Sewer Overflows - T. R. Rosin; M. Romano; E. Keedwell; Z. Kapelan (Water Resources Management, 2021)
Combined Sewer Overflows (CSOs) are a major source of pollution and urban flooding, spilling untreated wastewater directly into water bodies and the surrounding environment. If overflows can be predicted sufficiently in advance, then techniques are available for mitigation. This paper presents a novel bi-model committee evolutionary artificial neural network (CEANN) designed to forecast water level in a CSO chamber from 15 min to 6 h ahead using inputs of past/current CSO level data, radar rainfall data and forecast forecasted rainfall data. The model is composed of two evolutionary artificial neural network (EANN) models. The two models are trained and optimised for wet and dry weather conditions respectively and their results combined into a single response using a non-linear weighted averaging approach. An evolutionary strategy algorithm is employed to automatically select the optimal artificial neural network (ANN) structure and parameter set, allowing the network to be tailored specifically for different CSO locations and forecast horizons without significant human input. The CEANN model was tested and evaluated on real level data from 4 CSOs located in Northern England and the results compared to three other ANN models. The results demonstrate that the CEANN model is superior in terms of accuracy for almost all forecast horizons considered. It is able to accurately forecast the dry weather and wet weather level, predicting the timing and magnitude of upcoming spill events, thus providing information that is of clear use to a wastewater utility.

New Indicators to Discriminate the Cause of Low Energy Efficiency in Deep-Well Pumps - M. Mora; H. Puerto; C. Rocamora; R. Abadia (Water Resources Management, 2021)

Daily Runoff Forecasting Using a Cascade Long Short-Term Memory Model that Considers Different Variables - Yun Bai; Nejc Bezak; Bo Zeng; Chuan Li; Klaudija Sapač; Jin Zhang (Water Resources Management, 2021)

Acknowledgement of Reviewers 2020 - George Tsakiris (Water Resources Management, 2021)

Automatic Generation of Water Distribution Networks from Streets Layout - Luis Henrique Magalhães Costa; Gustavo Paiva Weyne Rodrigues (Water Resources Management, 2021)

Normalized Antecedent Precipitation Index Based Model for Prediction of Runoff from Un-Gauged Catchments - Narayan C. Ghosh; Rahul Kumar Jaiswal; Shakir Ali (Water Resources Management, 2021)

Optimal Design of Pipe Networks Accounting for Future Demands and Phased Expansion using Integrated Dynamic Programming and Differential Evolution Approach - Swati Sirsant; M. Janga Reddy (Water Resources Management, 2021)

Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS - Hossien Riahi-Madvar; Majid Dehghani; Rasoul Memarzadeh; Bahram Gharabaghi (Water Resources Management, 2021)

Quantifying the Impact on Stormwater Management of an Innovative Ceramic Permeable Pavement Solution - Jesica Tamara Castillo-Rodríguez; I. Andrés-Doménech; M. Martín; I. Escuder-Bueno; S. Perales-Momparler; J. Mira-Peidro (Water Resources Management, 2021)

Calibration Procedure of Regional Flow Duration Curves Evaluating Water Resource Withdrawal from Diversion Dams - Emanuela Sassu; Riccardo Zucca; Giovanni M. Sechi (Water Resources Management, 2021)

Coupling Singular Spectrum Analysis with Least Square Support Vector Machine to Improve Accuracy of SPI Drought Forecasting - Quoc Bao Pham; Tao-Chang Yang; Chen-Min Kuo; Hung-Wei Tseng; Pao-Shan Yu (Water Resources Management, 2021)

Clarifying Regional Water Scarcity in Agriculture based on the Theory of Blue, Green and Grey Water Footprints - Rui Shu; Xinchun Cao; Mengyang Wu (Water Resources Management, 2021)

Ex Ante Impact Assessment of Reservoir Construction Projects for Different Stakeholders Using Agent-Based Modeling - Chakaphon Singto; Martijn de Vries; Gert Jan Hofstede; Luuk Fleskens (Water Resources Management, 2021)
Reservoir construction projects are frequently met with fierce opposition. Consequently, to mitigate any potential negative impacts, environmental and social impact assessments are usually mandatory. Stakeholder perspectives are often only implicit in such assessments, and the medium-term effects of mitigating actions are assessed at the aggregate level, which fails to take into account unequal disaggregated impacts. In this paper, we design and apply an agent-based model (ABM) built on stakeholder information to conduct an ex ante assessment of the impact of a reservoir construction project in southern Thailand over a 30-year period for individual agents. We incorporate stakeholders’ knowledge into the ABM on the basis of primary data collected during the 2016–2018 period, including workshops with affected farmers to assess their interests and concerns, in-depth interviews with farmers in nearby districts to assess farming behaviors, and the expert opinions of policymakers to assess the relevant regulations and processes. In a case study for which the model was established, the results predict that, overall, farmers will have more farm income if the dam is built. We find that affected people require a standard of living similar to that provided by their previous livelihood as soon as possible after resettlement. By simulating the impacts on individual agents, we conclude that the compensation for relocation offered to affected farmers is not sufficient for sustainable resettlements. Facilitating compensation may increase the speed of project implementation and lead to better outcomes for everyone, including affected communities, whereas failure to reshape the current compensation policy leaves everyone more disadvantaged.

A Procedure for Combining Improved Correlated Sampling Methods and a Resampling Strategy to Generate a Multi-Site Conditioned Streamflow Process - Quansen Wang; Jianzhong Zhou; Kangdi Huang; Ling Dai; Benjun Jia; Lu Chen; Hui Qin (Water Resources Management, 2021)

Improvement of Two-Dimensional Flow-Depth Prediction Based on Neural Network Models By Preprocessing Hydrological and Geomorphological Data - Pin-Chun Huang; Kuo-Lin Hsu; Kwan Tun Lee (Water Resources Management, 2021)

Facing Losses of Telemetric Signal in Real Time Forecasting of Water Level using Artificial Neural Networks - Juliano Santos Finck; Olavo Correa Pedrollo (Water Resources Management, 2021)

A Spatial Non-Stationary Based Site Selection of Artificial Groundwater Recharge: a Case Study for Semi-Arid Regions - M. Karamouz; J. Teymoori; M. A. Olyaei (Water Resources Management, 2021)

Binary Grey Wolf Optimization-Regularized Extreme Learning Machine Wrapper Coupled with the Boruta Algorithm for Monthly Streamflow Forecasting - Jihong Qu; Kun Ren; Xiaoyu Shi (Water Resources Management, 2021)

Dam Location-Allocation under Multiple Hydrological Scenarios - R. Roozbahani; B. Abbasi; S. Schreider; J. Iversen (Water Resources Management, 2021)

An ET-Based Two-Phase Method for the Calibration and Application of Distributed Hydrological Models - Zhandong Sun; Tom Lotz; Qun Huang (Water Resources Management, 2021)

An Innovative Emergy Quantification Method for Eco-economic Compensation for Agricultural Water Rights Trading - Cuimei Lv; Huiqin Li; Minhua Ling; Xi Guo; Zening Wu; Changkuan Gu; Yang Li (Water Resources Management, 2021)

Offline Optimization of Sluice Control Rules in the Urban Water System for Flooding Mitigation - Xuan Wang; Wenchong Tian; Zhenliang Liao (Water Resources Management, 2021)

An Attempt to Decompose the Impact of Land Use and Climate Change on Annual Runoff in a Small Agricultural Catchment - Adam Krajewski; Anna E. Sikorska-Senoner; Leszek Hejduk; Kazimierz Banasik (Water Resources Management, 2021)
The aims of this study are: i) to better understand the coupled interactions between land use changes, climate change and the aquatic ecosystem in a small agricultural catchment (<100 km 2 ) with a long observation history (1963–2018) and a known land use history, and ii) to test available approaches to separate land use and climate change impacts on water resources in such a small catchment. The pre- and post-change periods have been separated based on change points and the known land use history. Next, conceptual and analytical approaches were applied to quantify and to distinguish between the impacts of climate and land use changes on annual runoff for these two periods. Over the observation period, both land use changes (increase in forest areas) as well as climate change (a temperature rise and a decrease in annual precipitation) occurred. These changes contributed to a decrease in the average annual runoff by 51.9 mm (49% of the long-term average) during the observation period. The quantified contributions of climate and land use changes to the decrease in the mean annual runoff amount to between 60% and 80% and between 40% and 20%, respectively. (i) The results obtained from different methods were consistent - a change in runoff was primarily caused by shifts in climatic variables. (ii) However, the quantified contributions varied depending on the method applied and the form of the Budyko curve. (iii) Thus, special care should be taken in relation to the selection of the Budyko curve for quantifying these changes. (iv) Knowledge of the water deficit sources can result in better planning of water resources management in such small catchments.

Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality - Amir Hatamkhani; Ali Moridi (Water Resources Management, 2021)

Assessing Available Water Content of Sandy Soils to Support Drought Monitoring and Agricultural Water Management - Zsuzsanna Ladányi; Károly Barta; Viktória Blanka; Benjámin Pálffy (Water Resources Management, 2021)
In the future, according to regional climate-model simulations, the Carpathian Basin (in Central Europe) is predicted to be exposed to intensifying weather extremes that will exert a growing pressure on water resources. In recent past decades, water already has become a significant limiting factor for the natural environment and many agro-economic sectors in the southern Carpathian Basin. Therefore, there are increasing attempts to develop monitoring systems to detect water stress. In this study, changes in soil moisture conditions were monitored within two Arenosol profiles of extreme water balance during years characterised by different hydrologic conditions and under the impact of irrigation in the Great Hungarian Plain. Hourly data series of hydrometeorological parameters and soil moisture from six different soil depths during 2014–2018 were provided by on-site monitoring stations; humus, carbonate content, porosity, field capacity and wilting point were measured in the laboratory. On the basis of the newly definied so-called ‘available water percent’ (AW%) and a developed classification method, the rate, time and duration of water-shortage periods were evaluated for the years 2014–2018. The results show that drought monitoring cannot be effective without investigation of soil moisture content. Detailed analysis of available water percentage (AW%) can be used for real-time drought monitoring and as a precise indicator of the evolution of drought. This can help us prevent and manage damage from drought, and it is extremely important for agriculture.

Good-quality Long-term Forecast of Spring-summer Flood Runoff for Mountain Rivers - Yuri B. Kirsta; Ol’ga V. Lovtskaya (Water Resources Management, 2021)

Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization - Sara Azargashb Lord; Seied Mehdy Hashemy Shahdany; Abbas Roozbahani (Water Resources Management, 2021)

An Improved Peaks-Over-Threshold Method and its Application in the Time-Varying Design Flood - Jiqing Li; Jing Huang; Xuefeng Chu; Jay R. Lund (Water Resources Management, 2021)

Spatiotemporal Modelling of Water Balance Components in Response to Climate and Landuse Changes in a Heterogeneous Mountainous Catchment - Negar Tayebzadeh Moghadam; Karim C. Abbaspour; Bahram Malekmohammadi; Mario Schirmer; Ahmad Reza Yavari (Water Resources Management, 2021)

Water Use and Climate Stressors in a Multiuser River Basin Setting: Who Benefits from Adaptation? - Roberto D. Ponce Oliva; Esteban Arias Montevechio; Francisco Fernández Jorquera; Felipe Vásquez-Lavin; Alejandra Stehr (Water Resources Management, 2021)

A New Method for Pore Pressure Prediction on Malfunctioning Cells Using Artificial Neural Networks - Milica Markovic; Jelena Markovic Brankovic; Miona Andrejevic Stosovic; Srdjan Zivkovic; Bojan Brankovic (Water Resources Management, 2021)

Incorporation of Cost-Benefit Analysis Considering Epistemic Uncertainty for Calculating the Optimal Design Flood - Sang Ug Kim; Cheol-Eung Lee (Water Resources Management, 2021)

A Hybrid Model to Predict Monthly Streamflow Using Neighboring Rivers Annual Flows - Anas Mahmood Al-Juboori (Water Resources Management, 2021)

Improving Performance Criteria in the Water Resource Systems Based on Fuzzy Approach - Mohammad H. Golmohammadi; Hamid R. Safavi; Samuel Sandoval-Solis; Mahmood Fooladi (Water Resources Management, 2021)

Comparative Application of Model Predictive Control and Particle Swarm Optimization in Optimum Operation of a Large-Scale Water Transfer System - Maryam Javan Salehi; Mojtaba Shourian (Water Resources Management, 2021)

Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries - Tyler Jarvis; Jordan Clough; Jane Cox; Konnor Petersen; Mitchell Sailsbery; Connor Robertson; Tyler Moncur; Katie Palmer; Darren Lund (Water Resources Management, 2021)

Long-Term Scheduling of Cascade Reservoirs Considering Inflow Forecasting Uncertainty Based on a Disaggregation Model - Xiaoling Ding; Xiaocong Mo; Jianzhong Zhou; Sheng Bi; Benjun Jia; Xiang Liao (Water Resources Management, 2021)

Multi-Level Decision-Making for Inter-Regional Water Resources Management with Water Footprint Analysis and Shared Socioeconomic Pathways - Yizhong Chen; Hongwei Lu; Jing Li; Pengdong Yan; He Peng (Water Resources Management, 2021)

A Continuous Pump Location Optimization Method for Water Pipe Network Design - Bohong Wang; Yongtu Liang; Wei Zhao; Yun Shen; Meng Yuan; Zhimin Li; Jian Guo (Water Resources Management, 2021)

Short-Term Peak-Shaving Operation of Single-Reservoir and Multicascade Hydropower Plants Serving Multiple Power Grids - Shengli Liao; Yan Zhang; Jie Liu; Benxi Liu; Zhanwei Liu (Water Resources Management, 2021)

Precipitation Trends and Variability in River Basins in Urban Expansion Areas - A. C. Oscar-Júnior (Water Resources Management, 2021)

Estimation of Regional Sub-Daily Rainfall Ratios Using SKATER Algorithm and Logistic Regression - Mohamed M. Fathi; Ayman G. Awadallah; Nabil A. Awadallah (Water Resources Management, 2021)

Prediction of Water Quality Index in Drinking Water Distribution System Using Activation Functions Based Ann - S. Vijay; K. Kamaraj (Water Resources Management, 2021)

Use of a Multi-Objective Correlation Index to Analyze the Power Generation, Water Supply and Ecological Flow Mutual Feedback Relationship of a Reservoir - Zhenhui Wu; Yadong Mei; Bei Cheng; Tiesong Hu (Water Resources Management, 2021)

Demonstration of Sustainable Development of Groundwater through Aquifer Storage and Recovery (ASR) - Abdulaziz Alqahtani; Tom Sale; Michael J. Ronayne; Courtney Hemenway (Water Resources Management, 2021)

Examination of Various Feature Selection Approaches for Daily Precipitation Downscaling in Different Climates - Ahmad Jafarzadeh; Mohsen Pourreza-Bilondi; Abbas Khashei Siuki; Javad Ramezani Moghadam (Water Resources Management, 2021)

Multiple Hydropower Reservoirs Operation by Hyperbolic Grey Wolf Optimizer Based on Elitism Selection and Adaptive Mutation - Wen-jing Niu; Zhong-kai Feng; Shuai Liu; Yu-bin Chen; Yin-shan Xu; Jun Zhang (Water Resources Management, 2021)

Comparing the Effects of Different Daily and Sub-Daily Downscaling Approaches on the Response of Urban Stormwater Collection Systems - Shadi Arfa; Mohsen Nasseri; Hassan Tavakol-Davani (Water Resources Management, 2021)

A Decision Support System Based on AHP for Ranking Strategies to Manage Emergencies on Drinking Water Supply Systems - Alessandro Pagano; Raffaele Giordano; Michele Vurro (Water Resources Management, 2021)

Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China - Zhiyong Wu; Huihui Feng; Hai He; Jianhong Zhou; Yuliang Zhang (Water Resources Management, 2021)

A Web‐based Open‐source Geoinformation Tool for Regional Water Resources Assessment - Susanna Grasso; Pierluigi Claps; Daniele Ganora; Andrea Libertino (Water Resources Management, 2021)

Forecasting High-Frequency River Level Series Using Double Switching Regression with ARMA Errors - Ana C. Cebrián; Ricardo Salillas (Water Resources Management, 2021)

Comprehensive Understanding of Urban Water Supply Management: Towards Sustainable Water-socio-economic-health-environment Nexus - Siddappa Pallavi; Shivamurthy Ravindra Yashas; Kotermane Mallikarjunappa Anilkumar; Behzad Shahmoradi; Harikaranahalli Puttaiah Shivaraju (Water Resources Management, 2021)

Developing MSA Algorithm by New Fitness-Distance-Balance Selection Method to Optimize Cascade Hydropower Reservoirs Operation - Mohammad Reza Sharifi; Saeid Akbarifard; Kourosh Qaderi; Mohamad Reza Madadi (Water Resources Management, 2021)

Three Level Rule Curve for Optimum Operation of a Multipurpose Reservoir using Genetic Algorithms - Katakam V SeethaRam (Water Resources Management, 2021)

Products, Sums and Quotients of Upper Truncated Pareto Random Variables with an Application in Hydrology - Ali İ. Genç (Water Resources Management, 2021)

Water Quality Sensor Placement: A Multi-Objective and Multi-Criteria Approach - Bruno Brentan; Silvia Carpitella; Daniel Barros; Gustavo Meirelles; Antonella Certa; Joaquín Izquierdo (Water Resources Management, 2021)

Resilient Drinking Water Resources - Ritsche A. Kloosterman; Jan Peter van der Hoek; Paulien Herder (Water Resources Management, 2021)
A significant challenge for managers of drinking water infrastructures is to make effective strategic decisions for assets with a long lifetime in an uncertain and changing environment. Water resources, which are part of the drinking water infrastructures, have a special position in this decision making process as they operate at the interface of the socio-technical and the socio-ecological subsystems: water resources are the input for the technical system, consisting of pipes and pumps that interact with different actors; and water resources can be seen as output from the ecological system which is influenced by environmental and political issues like climate change, drought and competing and changing uses of water and space. This paper discusses how to design the water resources in such a way that they function in the desired way at present, but that the design also fits an uncertain future as good as possible. To this extent, a framework was developed based upon the notion of resilience. Existing general design principles for socio-technical systems from literature were used as building blocks in the development of our water resources design principles (WR-DP) framework. Three key characteristics of water resources were distinguished in this framework: water quantity, water quality and the environmental impact of the water resources. In addition, we distinguished two dimensions that allowed us to explicitly describe all possible design principles: system scale and class. The first dimension, system scale, ranges from one water resource to a network of water resources. The second dimension, class, makes a distinction between social aspects and technical aspects. Application of the WR-DP framework in a case of a drinking water company in the Netherlands showed the usability of the framework.

Analysis of Meteorological Drought Resilience and Risk Assessment of Groundwater Using Signal Analysis Method - Yuan-Chien Lin; En-Dian Kuo; Wan-Ju Chi (Water Resources Management, 2021)

Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend Analysis - Muhammad S. Ashraf; Ijaz Ahmad; Noor M. Khan; Fan Zhang; Ahmed Bilal; Jiali Guo (Water Resources Management, 2021)

Evaluation of Sub-Selection Methods for Assessing Climate Change Impacts on Low-Flow and Hydrological Drought Conditions - Saeed Golian; Conor Murphy (Water Resources Management, 2021)

Enhanced Water Management for Muang Fai Irrigation Systems through Remote Sensing and SWOT Analysis - Thanaporn Supriyasilp; Kobkiat Pongput; Suree Boonyanupong; Teerawat Suwanlertcharoen (Water Resources Management, 2021)

Developing a Robust Multi-Attribute Decision-Making Framework to Evaluate Performance of Water System Design and Planning under Climate Change - Babak Zolghadr-Asli; Omid Bozorg-Haddad; Maedeh Enayati; Erfan Goharian (Water Resources Management, 2021)

Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods - Mahdi Valikhan Anaraki; Saeed Farzin; Sayed-Farhad Mousavi; Hojat Karami (Water Resources Management, 2021)

Evaluation and Comparison of the Effectiveness Rate of the Various Meteorological Parameters on UNEP Aridity Index Using Backward Multiple Ridge Regression - Abdol Rassoul Zarei; Mohammad Reza Mahmoudi (Water Resources Management, 2021)

A Copula-Based Multivariate Probability Analysis for Flash Flood Risk under the Compound Effect of Soil Moisture and Rainfall - Ming Zhong; Ting Zeng; Tao Jiang; Huan Wu; Xiaohong Chen; Yang Hong (Water Resources Management, 2021)

Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems - Mohsen Sharafatmandrad; Azam Khosravi Mashizi (Water Resources Management, 2021)

Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction - Amirhosein Mosavi; Farzaneh Sajedi Hosseini; Bahram Choubin; Massoud Goodarzi; Adrienn A. Dineva; Elham Rafiei Sardooi (Water Resources Management, 2021)

Performance of Green Roofs for Rainwater Control - A. Raimondi; G. Becciu (Water Resources Management, 2021)
Green roofs can be an effective tool for sustainable urban drainage, since they reduce and retain runoff by delaying its peak. Most studies analysing the retention capacity of green roofs are usually referred to a specific place and roof condition and do not consider the possibility that the roof could be partially pre-filled from previous rainfalls at the beginning of the given event. The aim of this paper is to develop an analytical probabilistic approach to evaluate green roof performance for stormwater control in terms of runoff that could be applied for different sites and climate conditions. To this end, the possibility that the green roof retention capacity could not be completely available owing to pre-filling from previous rainfall events has been considered and equations for an optimum green roof design, relating the runoff average return interval to the water retention capacity, have been proposed. The influence of parameters affecting the runoff process has been examined in depth and a case study to test the goodness of fit of the resulting equations has been developed.

Water Conflict Management between Agriculture and Wetland under Climate Change: Application of Economic-Hydrological-Behavioral Modelling - Abbas Mirzaei; Mansour Zibaei (Water Resources Management, 2021)

Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value - Xinxin Liu; Xiaosheng Wang; Haiying Guo; Xiaojie An (Water Resources Management, 2021)

Effective Optimization-Simulation Model for Flood Control of Cascade Barrage Network - Yong-Gun Kim; Myong-Bong Jo; Pyol Kim; Song-Nam Oh; Chung-Hyok Paek; Sung-Ryol So (Water Resources Management, 2021)

Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model - Nayara P. V. Andrade; Marcelo R. Viola; Samuel Beskow; Tamara L. Caldeira; Li Guo; Carlos R. Mello (Water Resources Management, 2020)

Effects of Non-Zero Minimum Pressure Heads in Non-iterative Application of EPANET 2 in Pressure-Dependent Volume-Driven Analysis of Water Distribution Networks - P. Sivakumar; Nikolai B. Gorev; Rajesh Gupta; Tiku T. Tanyimboh; Inna F. Kodzhespirova; C. R. Suribabu (Water Resources Management, 2020)

Predictability of Monthly Streamflow Time Series and its Relationship with Basin Characteristics: an Empirical Study Based on the MOPEX Basins - Ran-Ran He; Yuanfang Chen; Qin Huang; Zheng-Wei Pan; Yong Liu (Water Resources Management, 2020)

Evaluation of River Water Transfer Alternatives with the TODIM Multi-Criteria Decision Making Method - Parisa-Sadat Ashofteh; Parvin Golfam; Hugo A. Loáiciga (Water Resources Management, 2020)

Ability Assessment of the Stationary and Cyclostationary Time Series Models to Predict Drought Indices - Abdol Rassoul Zarei; Mohammad Reza Mahmoudi (Water Resources Management, 2020)

A Numerical Model for 1D Bed Morphology Calculations - Hriday Mani Kalita (Water Resources Management, 2020)

Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model - Xiaona Li; Xiaosheng Wang; Haiying Guo; Weimin Ma (Water Resources Management, 2020)

Influence of Weak Bed-Load Transport on Mean Flow Characteristics over Immobile Smooth Bed Surface under Dynamic Equilibrium Flow Conditions - Pritam Malakar; Akash Datta; Ratul Das (Water Resources Management, 2020)

Trends in Demand of Urban Surface Water Extractions and in Situ Use Functions - E. S. van der Meulen; N. B. Sutton; F. H. M. van de Ven; P. R. van Oel; H. H. M. Rijnaarts (Water Resources Management, 2020)
Scientific literature currently lacks comprehensive understanding of urban surface water use functions. This hampers sound analysis of the demand and potential supply of these functions. This study provides a comprehensive overview of potential use functions, by integrating knowledge from ecosystem services and integrated urban water management fields. Analysis of water-related management plans for Toronto and Amsterdam shows that surface water is currently being used for a variety of functions related to nutrition, energy, water regulation, recreation, symbolic use, transportation and floating buildings. Notably, many use functions involve in situ use, rather than water extractions. Interviewed water managers and spatial planners in both cities expect demand of most use functions to increase by 2040, especially demand for thermal energy extraction, recreation and transportation. Some identified novel demands, such as climate regulation and reuse of waste products from waterway maintenance. Increasing demand is mainly driven by urban growth, climate change and sustainability ambitions. This study found urban surface water uses that are usually not acknowledged in scientific literature on urban water management. This comprehensive overview supports planning, design, and maintenance of urban surface waters, laying the foundation for future research on supply and demand of urban water use functions.

A New Predictive Model for Evaluating Chlorophyll-a Concentration in Tanes Reservoir by Using a Gaussian Process Regression - Paulino José García-Nieto; Esperanza García-Gonzalo; José Ramón Alonso Fernández; Cristina Díaz Muñiz (Water Resources Management, 2020)

Evaluation of Water Sustainability under a Changing Climate in Zarrineh River Basin, Iran - Farhad Yazdandoost; Sogol Moradian; Ardalan Izadi (Water Resources Management, 2020)

Comparison of Several Aggregation Techniques for Deriving Analytic Network Process Weights - Nehal Elshaboury; Tarek Attia; Mohamed Marzouk (Water Resources Management, 2020)

A Methodological Framework for Identification of Baseline Scenario and Assessing the Impact of DEM Scenarios on SWAT Model Outputs - Harikrishna Sukumaran; Sanat Nalini Sahoo (Water Resources Management, 2020)

EHSMu: a New Ecohydrological Streamflow Model to Estimate Runoff in Urban Areas - Elena Cristiano; Roberto Deidda; Francesco Viola (Water Resources Management, 2020)
A conceptual lumped ecohydrological streamflow model (EHSMu) is presented as a promising tool to simulate runoff in urban catchments. The model, based on the interaction between a soil bucket and two linear reservoirs, enables also evapotranspiration and aquifer recharge to be estimated. Notwithstanding its minimalism, EHSMu describes interactions among soil moisture dynamics, hydrological fluxes and ecological processes. The model was calibrated and validated within two densely urbanized sub-basins in Charlotte (US). A Monte Carlo procedure is used to investigate the efficiency of random sets of 8 model parameters. Results show the high model performance (NSE = 0.72). The influence of land use change is evaluated, by varying the imperviousness and crop coefficients. Synthetic experiments show that increasing urbanization triggers a linear decrease in evapotranspiration and aquifer recharge, while it increases the fast runoff. An opposite response is achieved by installing vegetation with higher potential evapotranspiration, which would contribute to the actual evapotranspiration making up 50–55% of the total water balance.

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction - Sarita Gajbhiye Meshram; Vijay P. Singh; Ozgur Kisi; Vahid Karimi; Chandrashekhar Meshram (Water Resources Management, 2020)

A Moving Least Squares Based Meshless Element-Free Galerkin Method for the Coupled Simulation of Groundwater Flow and Contaminant Transport in an Aquifer - Tinesh Pathania; T. I. Eldho (Water Resources Management, 2020)

Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Reservoir Operation Management - Saad Dahmani; Djilali Yebdri (Water Resources Management, 2020)

Can Groundwater Scenarios Be Predicted from Future Regional Climatic Input Variables? - Satiprasad Sahoo; Anirban Dhar; Anupam Debsarkar; Amlanjyoti Kar (Water Resources Management, 2020)

Sustainability in Water Provision in Rural Communities: the Feasibility of a Village Scale Rainwater Harvesting Scheme - Caleb Christian Amos; Amir Ahmed; Ataur Rahman (Water Resources Management, 2020)

Decision Support System Based on Genetic Algorithms to Optimize the Daily Management of Water Abstraction from Multiple Groundwater Supply Sources - Rafael Gonzalez Perea; Miguel Ángel Moreno; Victor Buono da Silva Baptista; Juan Ignacio Córcoles (Water Resources Management, 2020)

Cross-Subsidies between Water Users in Spain: the Guadalquivir River Basin Case - Carmen Hervás-Gámez; Fernando Delgado-Ramos (Water Resources Management, 2020)

The Feasibility of Multi-Criteria Decision Making Approach for Prioritization of Sensitive Area at Risk of Water Erosion - Sarita Gajbhiye Meshram; Vijay P. Singh; Ercan Kahya; Ehsan Alvandi; Chandrashekhar Meshram; Shailesh Kumar Sharma (Water Resources Management, 2020)

Drought Characteristics Assessment in Europe over the Past 50 Years - Panagiotis D. Oikonomou; Christos A. Karavitis; Demetrios E. Tsesmelis; Elpida Kolokytha; Rodrigo Maia (Water Resources Management, 2020)

Probabilistic Analysis of Long-Term Climate Drought Using Steady-State Markov Chain Approach - Saeed Azimi; Erfan Hassannayebi; Morteza Boroun; Mohammad Tahmoures (Water Resources Management, 2020)

Future Water Use Planning by Water Evaluation and Planning System Model - Satiprasad Sahoo; Anirban Dhar; Anupam Debsarkar; Biswajeet Pradhan; Abdullah M. Alamri (Water Resources Management, 2020)

An Innovative Approach to Assessing the Distribution of Stored Freshwater while Injecting it through a Well Partially Screening the Brackish Aquifer - Ajay Kumar Vashisht; Shri Krishna Shakya (Water Resources Management, 2020)

Study on Multi-Objective Operation Strategy for Multi-Reservoirs in Small-Scale Watershed Considering Ecological Flows - Wei Xu (Water Resources Management, 2020)

A Comparative Study between Frequency Ratio Model and Gradient Boosted Decision Trees with Greedy Dimensionality Reduction in Groundwater Potential Assessment - Shruti Sachdeva; Bijendra Kumar (Water Resources Management, 2020)

Event-Driven Hyporheic Exchange during Single and Seasonal Rainfall in a Gaining Stream - Chengpeng Lu; Keyan Ji; Yong Zhang; Jan H. Fleckenstein; Chunmiao Zheng; Kate Salsky (Water Resources Management, 2020)

Preface to the Special Issue: Managing Water Resources for a Sustainable Future - Luis Garrote; Alvaro Sordo-Ward (Water Resources Management, 2020)

Water Values: Participatory Water Ecosystem Services Assessment in the Arno River Basin, Italy - T. Pacetti; G. Castelli; E. Bresci; E. Caporali (Water Resources Management, 2020)
Water-related Ecosystem Services (WES), namely the multiple benefits that humans can obtain from water or water-related functions of an ecosystem, constitute a useful perspective to look at the overlap between biosphere and anthroposphere and to explore their sustainable coupling. On one hand, society acts as a driver of landscapes transformation, influencing the ecohydrological processes that underpin a large set of potential WES. On the other hand, society is the recipient of the WES provided by ecosystems, determining the actual production of services. Aiming at exploring the ecosystem-water-society nexus, this study develops a 4-tiered methodology for the participatory evaluation of WES as a basis to facilitate a shared watershed planning process in the Arno river basin (Central Italy), carried out within the framework of the Tuscany Regional Law for participation. Starting from the biophysical assessment of the study area and the analysis of the population, multiple focus groups were organized to allow the participatory evaluation of WES, mainly targeting low impact stakeholders. The proposed approach allowed the WES mapping and the identification of valuable WES characterised by a critical status. These results served as the basis for the analysis of multiple scenarios and the co-definition of a shared management strategy, jointly with decision makers. The analysis highlights the potential of WES concept as a suitable common language for developing participatory processes that support integrated water resources management. The proposed participatory WES assessment approach can sustain the active involvement of all interested parties in Water Framework Directive implementation (Art.14) and foster a wider policy objective of sustainability through the management plans.

Comparing Two Hydro-Economic Approaches for Multi-Objective Agricultural Water Resources Planning - A. Alamanos; D. Latinopoulos; A. Loukas; N. Mylopoulos (Water Resources Management, 2020)

A Robust Method to Update Local River Inundation Maps Using Global Climate Model Output and Weather Typing Based Statistical Downscaling - M. Bermúdez; L. Cea; E. Van Uytven; P. Willems; J.F. Farfán; J. Puertas (Water Resources Management, 2020)

Droughts Prediction: a Methodology Based on Climate Seasonal Forecasts - E. Arnone; Marco Cucchi; Sara Dal Gesso; Marcello Petitta; Sandro Calmanti (Water Resources Management, 2020)
This study proposes a methodology for the drought assessment based on the seasonal forecasts. These are climate predictions of atmospheric variables, such as precipitation, temperature, wind speed, for upcoming season, up to 7 months. In regions particularly vulnerable to droughts and to changes in climate, such as the Mediterranean areas, predictions of precipitation with months in advance are crucial for understanding the possible shifts, for example, in water resource availability. Over Europe, practical applications of seasonal forecasts are still rare, because of the uncertainties of their skills; however, the predictability varies depending on the season and area of application. In this study, we describe a methodology which integrates, through a statistical approach, seasonal forecast and reanalysis data to assess the climate state, i.e. drought or not, of a region for predefined periods in the next future, at monthly scale. Additionally, the skill of the forecasts and the reliability of the released climate state assessment are estimated in terms of the false rate, i.e. the probability of missing alerts or false alarms. The methodology has been first built for a case study in Zakynthos (Greece) and then validated for a case study in Sicily (Italy). The selected locations represent two areas of the Mediterranean region often suffering from drought and water shortage situations. Results showed promising findings, with satisfying matching between predictions and observations, and false rates ranging from 1 to 50%, depending on the selected forecast period.

Quantification of Expected Changes in Peak Flow Quantiles in Climate Change by Combining Continuous Hydrological Modelling with the Modified Curve Number Method - E. Soriano; L. Mediero; C. Garijo (Water Resources Management, 2020)

Rainfall Trends over a Small Island Teleconnected to the North Atlantic Oscillation - the Case of Madeira Island, Portugal - Luis Angel Espinosa; Maria Manuela Portela (Water Resources Management, 2020)

Regional sub-hourly extreme rainfall estimates in Sicily under a scale invariance framework - Brunella Bonaccorso; Giuseppina Brigandì; Giuseppe T. Aronica (Water Resources Management, 2020)

A Flexible Approach for the Reinforcement of Water Networks Using Multi-Criteria Decision Analysis - Maria Cunha; João Marques; Dragan Savić (Water Resources Management, 2020)

A Fuzzified Multicriteria Outranking Method for Water Framework Directive Implementation in a Heavily Modified Urban Lake (Pamvotis, Greece) - Mike Spiliotis; Lambros Panagiotou; Ifigenia Kagalou; Dionissis Latinopoulos (Water Resources Management, 2020)

Using Sentinel-1 Imagery to Assess Predictive Performance of a Hydraulic Model - Ioanna Zotou; Vasilis Bellos; Angeliki Gkouma; Vassilia Karathanassi; Vassilios A. Tsihrintzis (Water Resources Management, 2020)

Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions - Dimitris Tigkas; Harris Vangelis; George Tsakiris (Water Resources Management, 2020)

Slackwater Sediments Record the Increase in Sub-daily Rain Flood due to Climate Change in a European Mediterranean Catchment - J. D. Moral-Erencia; P. Bohorquez; P. J. Jimenez-Ruiz; F. J. Pérez-Latorre (Water Resources Management, 2020)

Land Cover Change and Flood Risk in a Peri-Urban Environment of the Metropolitan Area of Rome (Italy) - Fabio Recanatesi; Andrea Petroselli (Water Resources Management, 2020)

Upstream Cutoff and Downstream Filters to Control of Seepage in Dams - Farzin Salmasi; Meysam Nouri; John Abraham (Water Resources Management, 2020)

Experimental and Numerical Investigation of Flow Over Ogee Spillway - Öznur Kocaer; Alpaslan Yarar (Water Resources Management, 2020)

Direct Management or Inter-Municipal Cooperation in Smaller Municipalities? Exploring Cost Efficiency and Installed Capacity in Drinking Water Supply - José Luis Zafra-Gómez; Victor Giménez-García; Cristina María Campos-Alba; Emilio José de la Higuera-Molina (Water Resources Management, 2020)

Correction to: A Novel Idea for Groundwater Resource Management during Megadrought Events - Ameneh Mianabadi; Hashem Derakhshan; Kamran Davary; Seyed Majid Hasheminia; Markus Hrachowitz (Water Resources Management, 2020)

Multicriteria Decision Support for Selection of Alternatives Directed to Integrated Urban Water Management - José Matheus Bezerra dos Santos Amorim; Saulo de Tarso Marques Bezerra; Maísa Mendonça Silva; Lyanne Cibely Oliveira de Sousa (Water Resources Management, 2020)

Achieving Urban Water Security: a Review of Water Management Approach from Technology Perspective - Yin Su; Weijun Gao; Dongjie Guan; Tai’an Zuo (Water Resources Management, 2020)

A New Method for Joint Frequency Analysis of Modified Precipitation Anomaly Percentage and Streamflow Drought Index Based on the Conditional Density of Copula Functions - Mohammad Nazeri Tahroudi; Yousef Ramezani; Carlo De Michele; Rasoul Mirabbasi (Water Resources Management, 2020)

A Multi-Criteria Group Decision Making Methodology Using Interval Type-2 Fuzzy Sets: Application to Water Resources Management - Ehsan Pourmand; Najmeh Mahjouri; Maryam Hosseini; Farzaneh Nik-Hemmat (Water Resources Management, 2020)

Assessing Impacts of Conservation Measures on Watershed Hydrology Using MIKE SHE Model in the Face of Climate Change - Gajanan Ramteke; R. Singh; C. Chatterjee (Water Resources Management, 2020)

Governing Government-Project Owner Relationships in Water Megaprojects: a Concession Game Analysis on Allocation of Control Rights - Tianyu Ma; Jiyong Ding; Zhuofu Wang; Miroslaw J. Skibniewski (Water Resources Management, 2020)

Relating Sediment Yield Estimations to the Wet Front Term Using Rainfall Simulator Field Experiments - Akbar Norouzi-Shokrlu; Mehdi Pajouhesh; Khodayar Abdollahi (Water Resources Management, 2020)

Robust Water Supply Chain Network Design under Uncertainty in Capacity - Marzieh Mozafari; Alireza Zabihi (Water Resources Management, 2020)

Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective - Xiaoyan Bai; Wen Shen; Peng Wang; Xiaohong Chen; Yanhu He (Water Resources Management, 2020)