Deep learning meets GPR: Exploring transformer models for precision soil depth prediction - Xiaole Han; Jintao Liu; Puneet Srivastava (Environmental Modelling & Software, 2026)

Improving groundwater level prediction based on optimized deep learning model with Coati algorithm - Rana Muhammad Adnan; Jing-Cheng Han; Mo Wang; Sandeep Samantaray; Abinash Sahoo; Sajjad Firas Abdulameer; Mohammad Al-Suwaiyan; Zaher Mundher Yaseen (Environmental Modelling & Software, 2026)

Reservoir inflow forecasting using a large language model and time series approach - Zixin Song; Ping-an Zhong; Yiwen Wang; Yu Han; Bin Wang; Xinyuan Qian; Ran Mo; Weifeng Liu; Jing Liu (Environmental Modelling & Software, 2026)

SWAT-UQ: A platform for uncertainty analysis, calibration and optimization of SWAT models - Mengtian Wu; Meihong Wu; Ruochen Sun; Xuan Huang; Shuo Yan; Jianjun Han; Qingyun Duan (Environmental Modelling & Software, 2026)

AGFormer: Adaptive Spatiotemporal graph informed transformer for multi-reservoir inflow forecasting - Ming Fan; Pengfei Hu; Xiaoxue Han; Wei Zhang; Hyun Kang; Yue Ning; Dan Lu (Environmental Modelling & Software, 2026)

A surrogate-assisted calibration framework for computationally expensive urban fluvial flood models - Congji Han; Takahiro Koshiba; Keiko Wada; Kenji Kawaike (Environmental Modelling & Software, 2026)

Development of a web-based No coding machine learning platform for hydrology and environmental management - MoolML - Sangjoon Bak; Jeongho Han; Gwanjae Lee; Naehyeon Nam; Joo Hyun Bae; Yeonji Jeong; Hyungjin Shin; Kyoung Jae Lim; Seoro Lee (Environmental Modelling & Software, 2026)

DSTMA-BLSTM algorithm for roadside air pollutant time series prediction and sensitivity analysis - Yusheng Qin; Xin Han; Hanwen Shi; Xiangxian Li; Jingjing Tong; Minguang Gao; Yujun Zhang (Environmental Modelling & Software, 2026)

Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea - Heejin An; Hyun-Han Kwon; Moonyoung Lee; Inkyung Min; Kichul Jung; Daeryong Park (Environmental Modelling & Software, 2025)

Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework - Quan Han; Ling Zhou; Wenchao Sun; Jinqiang Wang; Chi Ma (Environmental Modelling & Software, 2025)

Transformer-embedded 1D VGG convolutional neural network for regional landslides detection boosted by multichannel data inputs - Bangjie Fu; Yange Li; Chen Wang; Zheng Han; Nan Jiang; Wendu Xie; Changli Li; Haohui Ding; Weidong Wang; Guangqi Chen (Environmental Modelling & Software, 2025)

Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing - Kwanghee Han; Seokhyeon Kim; Rajeshwar Mehrotra; Ashish Sharma (Environmental Modelling & Software, 2024)

A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation - Feilin Zhu; Mingyu Han; Yimeng Sun; Yurou Zeng; Lingqi Zhao; Ou Zhu; Tiantian Hou; Ping-an Zhong (Environmental Modelling & Software, 2024)

QGeoWEPP: An open-source geospatial interface to enable high-resolution watershed-based soil erosion assessment - Han Zhang; Chris S. Renschler (Environmental Modelling & Software, 2024)

A hydrological process-based neural network model for hourly runoff forecasting - Shuai Gao; Shuo Zhang; Yuefei Huang; Jingcheng Han; Ting Zhang; Guangqian Wang (Environmental Modelling & Software, 2024)

The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America - Richard Arsenault; David Huard; Jean-Luc Martel; Magali Troin; Juliane Mai; François Brissette; Christian Jauvin; Long Vu; James R. Craig; Trevor J. Smith; Travis Logan; Bryan A. Tolson; et al. (Environmental Modelling & Software, 2023)

A new approach for landslide susceptibility assessments based on KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan earthquake, China - Suyue Han; Bin Liu; Xinyue Fan; Tingting Feng; JingJing Yang; Zhongli Zhou; Hao Gong; Jie Luo (Environmental Modelling & Software, 2023)

BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks - Ming Han; Hongren Shen; Bryan A. Tolson; James R. Craig; Juliane Mai; Simon G.M. Lin; Nandita B. Basu; Frezer S. Awol (Environmental Modelling & Software, 2023)

Groundwater contaminant source identification based on an ensemble learning search framework associated with an auto xgboost surrogate - Zidong Pan; Wenxi Lu; Han Wang; Yukun Bai (Environmental Modelling & Software, 2023)