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ORCIDEnvironmental Modelling and Software, Volume 192
Volume 192, 2025
- Adrián Navas-Montilla, Cordula Reisch, Pablo Diaz, Ilhan Özgen-Xian:
Modeling wildfire dynamics through a physics-based approach incorporating fuel moisture and landscape heterogeneity. 106511 - Joske Houtkamp, Sander Janssen, Rob Lokers, Hugo de Groot:
Applying user-centred design to climate and environmental tools. 106519 - Mo Li, Kun Hu, Qiang Fu, Aizheng Yang, Xiaofang Wang, Pingan Zhang, Wenhao Dong, Zhenyi Sun:
Regulation of efficient water use in paddy fields via the simulation of the water cycle in cold regions under random precipitation conditions. 106520 - Zhili Li, Zhiwei Zhou, Hao Wang, Xing Li, Xiaoyu Shi, Jiayi Xiao, Zhiyu Yang, Mingzhuang Sun, Xiaolong Li, Haifeng Jia:
Artificial intelligence-incorporated prediction for urban flooding processes in the past 20 years: A critical review. 106525 - Damien Tedoldi, Boram Kim, Santiago Sandoval, Nicolas Forquet, Bruno Tassin:
Position paper: Common mistakes and solutions for a better use of correlation- and regression-based approaches in environmental sciences. 106526 - Yuqian Hu, Heng Li, Chunxiao Zhang, Tianbao Wang, Wenhao Chu, Rongrong Li:
Investigate the rainfall-runoff relationship and hydrological concepts inside LSTM. 106527 - Marco Moretto, Luca Delucchi, Roberto Zorer, Damiano Moser, Franco Micheli, Andrea Paoli, Pietro Franceschi:
DigiAgriApp: a client-server application to monitor field activities. 106528 - Wanhai Jia, Jing Sun, Shaopeng Guan:
FPQ-iTransformer: A novel iTransformer-based model for accurate seawater salinity prediction. 106529 - Fabien Souillé, Nicolas Claude, Magali Jodeau:
A numerical model for simulation of bedload transport in unsteady trans-critical river flow. 106531 - Farah Naz, Lei She, Chenghong Zhang, Jie Shao:
A two-stage trained hybrid Unet-ConvLSTM2D for enhanced precipitation nowcasting. 106532 - Zahra Rezaei, Sara Safi Samghabadi, Mohammad Amin Amini, Dingjing Shi, Yaser Mike Banad:
Predicting climate change: A comparative analysis of time series models for CO2 concentrations and temperature anomalies. 106533 - Ananya Kowshal, Apurba Das, Karl-Erich Lindenschmidt:
Ice-jam flood predictions using an interpretable machine learning approach. 106534 - Cody Nichols, Mary C. Hill, Xuebo Liu, Lawryn Kiboma:
Climate change impacts on solar energy generation in the continental United States, forecasts from deep learning. 106535 - Haocheng Wang, Zhuo Zhang, Songshan Yue, Fei Guo, Yongning Wen, Min Chen, Guonian Lü:
A novel cross-model framework for modelling urban multi-hydrological processes based on hydrogeographic elements in urban areas. 106536 - Huiwen Li, Yue Cao, Jingfeng Xiao, Wenxin Zhang, Yiping Wu, Arshad Ali, Zuoqiang Yuan:
Unveiling uncertainties in soil organic carbon modeling: the critical role of climate response functions. 106537 - Mohammadsepehr Karimiziarani, Ehsan Foroumandi, Hamid Moradkhani:
Harnessing Twitter (X) with AI-enhanced natural language processing for disaster management: Insights from California wildfire. 106545 - Dawei Guan, Zhanchen Li, Haoran Zheng, Jian-Hao Hong, Tiago Fazeres-Ferradosa, Richard Asumadu:
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms. 106548 - Mrunmayee Dhapre, Shrikant Jadhav, Debanjana Das, Jehanzeb Khan, Youngsoo Kim, Sen Chiao, Thomas Danielson:
A systematic review of machine learning in groundwater monitoring. 106549 - Ze Wang, Heng Lyu, Yanqing Guo, Shun'an Zhou, Chi Zhang:
How to use general AI for task-specific applications: A case study of monitoring water level trends with river cameras. 106550 - Arturo Catalá, Borja Latorre, Leticia Gaspar, Ana Navas:
Estimating soil redistribution rates with the RadEro model: A physically based compartmental model for 137Cs analysis in an R package. 106551 - Martijn D. van Leer, Willem J. Zaadnoordijk, Alraune Zech, Jasper Griffioen, Marc F. P. Bierkens:
Investigating aquitard heterogeneity by inverse groundwater modelling at a drinking water production site. 106554 - Mohamed Khafagy, Sarah Dickson-Anderson, Wael El-Dakhakhni:
Towards simulating solute transport in complex, regional-scale fracture networks: a rapid upscaled approach. 106555 - Kerry Bardot, Lachlan Grose, Itsuo Camargo, Guillaume Pirot, Adam Siade, Jon-Phillippe Pigois, Clive Hampton, James McCallum:
A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW. 106557 - Yang Wang, Wenyu Ouyang, Jingyuan Huang, Lei Ye, Chi Zhang:
Automatic analysis method for topological relationship between river network and hydrological stations. 106558 - Khazina Naveed, Tariq Umer, Aamer Bilal Asghar, Muhammad Aslam, Krzysztof Ejsmont, Ahmed Sayed Mohammed Metwally, Kien Nguyen Thanh:
Machine learning assisted predictive urban digital twin for intelligent monitoring of air quality index for smart city environment. 106559 - Howard S. Wheater:
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward? 106561 - Hung-Hsien Wan, Hyongki Lee, Tien Le Thuy Du, Amirhossein Rostami, Chi-Hung Chang, Kel N. Markert, E. James Nelson, Gustavious P. Williams, Sanmei Li, William Straka, Sean R. Helfrich, Franz J. Meyer:
An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis. 106562 - Hengyuan Liu, Qian Ding, Yuechen Li, Lei Fan, Long Zhao, Mingguo Ma:
Improved Biome-BGC model for simulating spatiotemporal dynamics of gross primary productivity in evergreen broadleaf forests of the karst region. 106563 - Sijal Dangol, Xuesong Zhang, Rajith Mukundan, Rakesh Gelda:
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model. 106565 - Jiaojiao Liu, Junzhi Liu, Meng Liu, Shaoyi Tian, Yongbo Liu, Wanhong Yang, Yonqin Liu:
Development of an alpine hydrological model considering the recharge of stream water to alluvial plain aquifers. 106567 - Weiyi Shi, Xinyu Wan, Fangzheng Zhao, Ruxia Deng:
A dual-model framework combining nonlinear autoregressive with exogenous inputs (NARX) and LSTM networks for enhanced daily runoff prediction and error correction. 106570 - Chang Yan, Xuanming Zhang, Yan Yu, Yuelin Liu, Xiaodong Wu, Xin Zheng, Guangming Shi, Fumo Yang:
Exploring the key meteorological drivers of air pollution by intrinsically interpretable deep learning. 106571 - Mahta Zamanizadeh, Mecit Cetin, Ali Shahabi, Navid Tahvildari:
Depth estimation in urban flooding using surveillance cameras and high-resolution LiDAR data. 106572 - Gang Chen, Zhenzhong Liu, Runfeng Zhang, Guobin Zhang, Jutao Wang, Tongrui Zhang:
Transformer-LSTM-KOA: A novel approach for prediction of chlorophyll in the South China Sea. 106575
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