Weekly Literature Review

Week 16 · April 14–April 20, 2025

50 relevant papers found across 5 themes

Executive Summary

This week’s review covers 50 papers across 5 themes. The most cited paper examines Annual multi-objective optimization model and strategy for scheduling cascade re, with 39 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.


Table of Contents

  1. Executive Summary
  2. Climate Change and Terrestrial Water Storage
    1. ERA5–Drought: Global drought indices based on ECMWF reanalysis
    2. Global droughts in a warming climate: Evaluation of SPI and SPEI under 1.5 , 2 , and 3 C global warming
    3. Large-scale 3D printed fouling-resistant self-floating evaporator
    4. Global dataset combining open-source hydropower plant and reservoir data
    5. Antimicrobial resistance in a changing climate: a One Health approach for adaptation and mitigation
    6. Global warming drives a threefold increase in persistence and 1 ° C rise in intensity of marine heatwaves
    7. Local climate zone framework: seasonal dynamics of surface urban heat island and its influencing factors in three Chinese urban agglomerations
    8. Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region
    9. Efficient agronomic practices narrow yield gaps and alleviate climate change impacts on winter wheat production in China
    10. Psychological impacts of climate change on US youth
    11. Impact of climate change on arsenic concentrations in paddy rice and the associated dietary health risks in Asia: an experimental and modelling study
    12. Seasonal compound renewable energy droughts in the United States
    13. Field application of beneficial microbes to ameliorate drought stress in maize
  3. Flood Risk Assessment and Extreme Precipitation
    1. Flood disaster chain deduction based on cascading failures in urban critical infrastructure
    2. A bibliometric analysis of trends in rainfall-runoff modeling techniques for urban flood mitigation (2005–2024)
    3. Probabilistic Assessment of Flood Susceptibility via a Coparticipative Multicriteria Decision Analysis
    4. Dynamic flooding management strategy for automotive proton exchange membrane fuel cell system using cathode membrane water content
    5. Impact of Tropical Cyclone Precipitation on Fluvial Discharge in the Lancang‒Mekong River Basin
    6. Leptospirosis Cases During the 2024 Catastrophic Flood in Rio Grande Do Sul, Brazil
  4. Machine Learning and AI for Hydrological Prediction
    1. Interpretable physics‐informed graph neural networks for flood forecasting
    2. Precision robotic spot-spraying: Reducing herbicide use and enhancing environmental outcomes in sugarcane
    3. Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
    4. Enhancing Research-to-Operations in Hydrological Forecasting: Innovations across Scales and Horizons
    5. Improving differentiable hydrologic modeling with interpretable forcing fusion
    6. Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs
    7. Porosity prediction of tight reservoir rock using well logging data and machine learning
    8. Integrating UAV-based multispectral and thermal infrared imageries with machine learning for predicting water stress in winter wheat
    9. Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed
  5. Water Management, Irrigation, and Groundwater
    1. CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
    2. Participatory Modeling and Scenario Analysis for Managing Mediterranean River Basins Using Quasi-nonlinear Fuzzy Cognitive Maps
    3. A crop-specific dynamic irrigation scheme in a regional land surface-hydrologic modeling framework for improving human water-use estimation and irrigation impact assessment
    4. Seasonal agricultural irrigation water deficit in northern China: pattern, trend and causality
  6. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Annual multi-objective optimization model and strategy for scheduling cascade reservoirs on the Yellow River mainstream
    2. Global increases of salt intrusion in estuaries under future environmental conditions
    3. Assessing the community knowledge on waste management practices, drinking water source systems, and the possible implications on public health systems
    4. The uptake of urban digital twins in the built environment: a pathway to resilient and sustainable cities
    5. Pesticide Pollution Reduces the Functional Diversity of Macroinvertebrates in Urban Aquatic Ecosystems
    6. Finding optimal Noah-MP parameterizations for the characterization of surface heat fluxes in the Iberian Peninsula
    7. Solar interfacial evaporation: From evaporation material design, condensing unit application to practical applications
    8. Warming leads to both earlier and later snowmelt floods over the past 70 years
    9. Snow cover variability assessment and its interplay with hydro-climatic characteristics in data scarce region of Gilgit-Baltistan, Pakistan
    10. LM4-SHARC v1.0: resolving the catchment-scale soil–hillslope aquifer–river continuum for the GFDL Earth system modeling framework
    11. Review of bias correction methods for climate model outputs in hydrology
    12. ROBIN: Reference observatory of basins for international hydrological climate change detection
    13. Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China
    14. Attribution of streamflow and its seasonal variation to dual nature-society drivers using CMIP6 data and hydrological models
    15. A 37 years [1984–2021] Landsat/Sentinel-2 derived snow cover time-series for Switzerland
    16. Nanofiltration (NF) application in drinking water treatment plants and the challenges of its concentrate management in China
    17. Water resource vulnerabilities from climate-induced tipping point behaviour in runoff volumes and seasonality in the region of the ‘Karakoram Anomaly’: A snow-glacier melt perspective
    18. Sensitive Analysis of WRF-Hydro’s Parameters for Multi-Peak Flood Flow: A Case Study in the Ve River Basin, Vietnam
  7. Statistics
    1. Papers by journal
  8. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 13 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.

ERA5–Drought: Global drought indices based on ECMWF reanalysis

Authors: Jessica Keune, Francesca Di Giuseppe, Christopher Barnard, Eduardo Damasio da Costa, Fredrik Wetterhall

Journal: Scientific Data · DOI: 10.1038/s41597-025-04896-y · Citations: 27

Matched topics: hydrology, hydrologic model, water management, drought

Droughts are increasingly intensified by human-induced climate change and pose a growing threat to society. Thus, enhancing our capabilities to monitor drought occurrence and intensity is crucial. This paper introduces a new dataset of drought indices derived from the 5th generation ECMWF reanalysis system (ERA5), which offers long-term monitoring of the global climate in both deterministic and probabilistic forms. This global dataset is freely accessible through an ECMWF-hosted data store, a…


Global droughts in a warming climate: Evaluation of SPI and SPEI under 1.5 , 2 , and 3 C global warming

Authors: Kunal Bhardwaj, Ashok Mishra, C. Prakash Khedun

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133309 · Citations: 33

Matched topics: drought

• Meteorological droughts compared using observations and CMIP6 GCMs. • GCMs show high bias in regions with strong historic drought characteristics. • SPEI with evapotranspiration shows larger increases than SPI in future scenarios. • Future droughts show larger increases in arid regions globally. Accurately predicting droughts, amidst rapid global warming, is crucial for effective resource management and policy development. Here, we employ CMIP6 models to analyze historical and future global…


Large-scale 3D printed fouling-resistant self-floating evaporator

Authors: Yiru Pu, Wenzhu Lin, Xiaoxue Yao, Qili Xu, Wai Kin Lo, Yuyi Liu et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-58952-7 · Citations: 30

Matched topics: surface water

under one sun illumination. This 3D concave-shaped solar evaporator design, achieved through 3D printing and double-sided surface modification, allows interfacial desalination process to occur at the bottom surface of the evaporator with superior heat transfer, ultra-effective salt-resistance and enlarged water-air interfacial area. The evaporation stability, extending well beyond traditional limitations of days or months, is realized by a decoupling design and the low-cost renewal of water-i…


Global dataset combining open-source hydropower plant and reservoir data

Authors: Jignesh Shah, Jing Hu, Oreane Y. Edelenbosch, Michelle T. H. van Vliet

Journal: Scientific Data · DOI: 10.1038/s41597-025-04975-0 · Citations: 17

Matched topics: streamflow, reservoir, hydropower

Hydropower is a crucial renewable source that depends heavily on water availability. Analyzing drought and climate change impacts on hydropower potential requires detailed data on both hydropower plant attributes (e.g. plant type and head) and reservoir characteristics (e.g. area, depth and volume). However, existing open-source datasets are poorly integrated: hydropower plant datasets often lack reservoir information, while reservoir datasets commonly miss hydropower plant information. This …


Antimicrobial resistance in a changing climate: a One Health approach for adaptation and mitigation

Authors: M Alhassan, Asmat Ahmad

Journal: Bulletin of the National Research Centre/Bulletin of the National Research Center · DOI: 10.1186/s42269-025-01318-2 · Citations: 28

Matched topics: climate change

Abstract Background Antimicrobial resistance (AMR) and climate change are interconnected global challenges that threaten human, animal, and environmental health. The World Health Organization has identified AMR as a major public health crisis, further intensified by climate-induced disruptions such as rising temperatures, altered precipitation patterns, and extreme weather events. These environmental changes accelerate the spread and persistence of resistant pathogens across diverse ecosystem…


Global warming drives a threefold increase in persistence and 1 ° C rise in intensity of marine heatwaves

Authors: Marta Marcos, Ángel Amores, Miguel Agulles, Jon Robson, Xiangbo Feng

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2413505122 · Citations: 27

Matched topics: earth system model

C in the maximum intensity of the events. Our findings highlight the detrimental role that human-induced global warming plays on marine heatwaves. This study supports the need for mitigation and adaptation strategies to address these threats to marine ecosystems.


Local climate zone framework: seasonal dynamics of surface urban heat island and its influencing factors in three Chinese urban agglomerations

Authors: Haojian Deng, Jiali Feng, Kai Liu, Yongzhu Xiong, Jingjing Cao

Journal: GIScience & Remote Sensing · DOI: 10.1080/15481603.2025.2490317 · Citations: 17

Matched topics: seasonal, land surface model

ABSTRACT The Local Climate Zone (LCZ) framework offers a standardized and widely applicable approach that facilitates detailed investigations of Surface Urban Heat Islands (SUHI) within cities. Based on the LCZ framework, this study selected three urban agglomerations with distinct climate backgrounds: the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the Liaozhongnan urban agglomeration (LZS), and the Ningxia Yellow River urban agglomeration (NXY). Using a geographically weighted regress…


Recent intensified riverine CO2 emission across the Northern Hemisphere permafrost region

Authors: Cuicui Mu, Kun Li, Shaoda Liu, Yuguo Wei, Mei Mu, Xuexue Shang et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-58716-3 · Citations: 18

Matched topics: hydrology, earth system model

during 2000 to 2020, and this is primarily driven by increased precipitation and accelerated permafrost thawing under climate change. This study highlights increased riverine carbon emission and strengthening of the permafrost carbon feedback to climate after incorporating carbon release from rivers.


Efficient agronomic practices narrow yield gaps and alleviate climate change impacts on winter wheat production in China

Authors: Kaiyuan Gong, Liang-bing RONG, Yinghua Zhang, Xiao‐Lei Wang, Fengying Duan, Xia Li et al.

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-025-02280-7 · Citations: 13

Matched topics: water management, climate change, earth system model

As the world’s largest wheat producer, China’s stable wheat production is crucial for global food security. However, climate change has increased yield variability, while excessive water and nitrogen (N) inputs threaten resource sustainability and environmental health. Here, we explored the possibility of yield gap reduction through efficient agronomic practices. A 3-year field experiment was conducted at 22 different sites in major wheat-producing regions in China, combined with modeling app…


Psychological impacts of climate change on US youth

Authors: Ans Vercammen, Britt Wray, Yoshika S. Crider, Gary S. Belkin, Emma Lawrance

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2311400122 · Citations: 21

Matched topics: climate change

Awareness of the threats of climate change is causing distress in increasingly documented ways, with youth particularly affected. Experiences such as climate distress and eco-anxiety have implications for the health and well-being of societies and economies, including individuals’ mental health and future planning, as well as their agency beliefs. Here, we show in a large sample of US youth (n = 2,834, ages 16 to 24) that the majority of US youth experience moderate climate distress and some …


Impact of climate change on arsenic concentrations in paddy rice and the associated dietary health risks in Asia: an experimental and modelling study

Authors: Dongming Wang, Brent F. Kim, Keeve E. Nachman, Andrea A. Chiger, Julie B. Herbstman, Irakli Loladze et al.

Journal: The Lancet Planetary Health · DOI: 10.1016/s2542-5196(25)00055-5 · Citations: 21

Matched topics: climate change

BACKGROUND: and temperature (individually and in combination) on arsenic concentrations in rice, characterise soil properties that might influence arsenic uptake, and model the associated risks of cancer and other health outcomes due to increased arsenic exposure. METHODS: Enrichment platforms with and without supplemental temperature to examine the bioaccumulation of arsenic in paddy rice and the underlying biogeochemical mechanisms from 2014 to 2023. We modelled dietary inorganic arsenic ex…


Seasonal compound renewable energy droughts in the United States

Authors: Cameron Bracken, Nathalie Voisin, Youngjun Son, Sha Feng, Osten Anderson, Xiaodong Chen et al.

Journal: Environmental Research Energy · DOI: 10.1088/2753-3751/adc8ad · Citations: 4

Matched topics: hydrologic model, drought, seasonal, hydropower

Abstract Variable renewable energy (VRE) droughts are periods of low renewable electricity production due to natural variability in the weather and climate. These compound renewable energy droughts occur when two or more (typically wind and solar) generation sources are in low availability conditions at the same time. Compound wind and solar droughts are most commonly studied at the hourly and daily timescale due to the short-term nature of energy markets and battery storage capacity. However…


Field application of beneficial microbes to ameliorate drought stress in maize

Authors: Uchechukwu Paschal Chukwudi, Olubukola Oluranti Babalola, Bernard R. Glick, Gustavo Santoyo, Everlon Cid Rigobelo

Journal: Plant and Soil · DOI: 10.1007/s11104-025-07446-y · Citations: 17

Matched topics: drought

Abstract Background and aims Drought stress is a challenge to maize ( Zea mays L.) production, especially in an era of unpredictable climate change and weather extremes. Maize is a source of calories for millions of people all over the world. It is a food security crop, and any yield loss has food security implications. This study examines the effects of soil microbes on maize growth and yield under drought conditions, focusing on field-based experiments. Methods This review follows PRISMA gu…


Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 6 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.

Flood disaster chain deduction based on cascading failures in urban critical infrastructure

Authors: Yongming Wang, Zhoujing Ye, Xinran Jia, Huifang Liu, Guoqing Zhou, Linbing Wang

Journal: Reliability Engineering & System Safety · DOI: 10.1016/j.ress.2025.111160 · Citations: 26

Matched topics: hydrologic model, flood

Abstract not available.


Authors: Abd. Rakhim Nanda, Nurnawaty Nurnawaty, Amrullah Mansida, Hartono Bancong

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.104927 · Citations: 10

Matched topics: hydrologic model, runoff, water management, flood

• Bibliometric analysis of 618 documents (2005–2024) reveals trends in rainfall-runoff modeling for urban flood mitigation. • Integration of Artificial Intelligence (AI), Geographic Information Systems (GIS), and Low-Impact Development (LID) enhance hydrological model accuracy and sustainability. • China, the United States (US), and the United Kingdom (UK) lead research, with rising contributions from Southeast Asia. • The Storm Water Management Model (SWMM) and the Hydrologic Engineering Cen…


Probabilistic Assessment of Flood Susceptibility via a Coparticipative Multicriteria Decision Analysis

Authors: C. Panagiotou, E. Feloni, Kostas Aristidou, Marinos Eliades

Journal: Environmental Processes · DOI: 10.1007/s40710-025-00766-2 · Citations: 18

Matched topics: flood

Abstract not available.


Dynamic flooding management strategy for automotive proton exchange membrane fuel cell system using cathode membrane water content

Authors: Huu Linh Nguyen, Younghyeon Kim, Dinh Hoang Trinh, Sangseok Yu

Journal: Applied Thermal Engineering · DOI: 10.1016/j.applthermaleng.2025.126485 · Citations: 14

Matched topics: water management, flood

Abstract not available.


Impact of Tropical Cyclone Precipitation on Fluvial Discharge in the Lancang‒Mekong River Basin

Authors: Aifang Chen, Jie Wang, Ralf Toumi, Hao Huang, Long Yang, Deliang Chen et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2024gl113199 · Citations: 4

Matched topics: hydrology, hydrologic model, river, streamflow

Abstract Tropical cyclone precipitation (TCP) and associated floods have caused widespread damage globally. Despite growing evidence of significant changes in the activity of tropical cyclones (TCs) in recent decades, the influence of TCs on regional flooding remains poorly understood. Here, we distinguish the role of TCs in fluvial discharge by explicitly simulating discharge with and without observed TCP in the Lancang‒Mekong River Basin, a vulnerable TC hotspot. Our results show that TCs t…


Leptospirosis Cases During the 2024 Catastrophic Flood in Rio Grande Do Sul, Brazil

Authors: Tani Ranieri, Eduardo Viegas da Silva, Marcelo Jostmeier Vallandro, Mayara Mota de Oliveira, Regina Bones Barcellos, Roberta Vanacor Lenhardt et al.

Journal: Pathogens · DOI: 10.3390/pathogens14040393 · Citations: 17

Matched topics: flood

-value < 0.0001) for the association of Health Regions regarding the rank in incidence rates of confirmed cases in the flood period and the proportion of the population with households flooded. Thirty deaths (three females) were confirmed, a 6.0-fold rise compared with 2023. The state responders carried out many activities, including epidemiological surveillance and the dissemination of information. Among the challenges faced was the lack of evidence in the literature supporting recommendatio…


Machine Learning and AI for Hydrological Prediction

This week’s 9 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.

Interpretable physics‐informed graph neural networks for flood forecasting

Authors: Mehdi Taghizadeh, Zanko Zandsalimi, M. A. Nabian, Majid Shafiee‐Jood, Negin Alemazkoor

Journal: Comput. Aided Civ. Infrastructure Eng. · DOI: 10.1111/mice.13484 · Citations: 37

Matched topics: flood

Climate change has intensified extreme weather events, with floods causing significant socioeconomic and environmental damage. Accurate flood forecasting is crucial for disaster preparedness and risk mitigation, yet traditional hydrodynamic models, while precise, are computationally prohibitive for real‐time applications. Machine learning surrogates, such as graph neural networks (GNNs), improve efficiency but often lack physical consistency and interpretability. This paper introduces HydroGr…


Precision robotic spot-spraying: Reducing herbicide use and enhancing environmental outcomes in sugarcane

Authors: Mostafa Rahimi Azghadi, Alex Olsen, Jake Wood, Alzayat Saleh, Brendan Calvert, Terry Granshaw et al.

Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2025.110365 · Citations: 23

Matched topics: runoff, water management, irrigation

Precise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed management costs for farmers. In this paper, we demonstrate that a custom-designed robotic spot spraying tool based on computer vision and deep learning can significantly reduce herbicide usage on sugarcane farms. We present results from field trials that compare robotic spot spraying against industry-standard broadcast spra…


Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model

Authors: Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, Josef Schneider

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-1939-2025 · Citations: 6

Matched topics: hydrology, hydrologic model, runoff, streamflow, flood

Abstract. Flood forecasting systems play a key role in mitigating socioeconomic damage caused by flood events. The majority of these systems rely on process-based hydrologic models (PBHMs), which are used to predict future runoff. Many operational flood forecasting systems additionally implement models aimed at enhancing the predictions of the PBHM, either by updating the PBHM’s state variables in real time or by enhancing its forecasts in a post-processing step. For the latter, autoregressiv…


Enhancing Research-to-Operations in Hydrological Forecasting: Innovations across Scales and Horizons

Authors: Ilias Pechlivanidis, Yiheng Du, James Bennett, Marie‐Amélie Boucher, Annie Y.-Y. Chang, Louise Crochemore et al.

Journal: Bulletin of the American Meteorological Society · DOI: 10.1175/bams-d-24-0322.1 · Citations: 10

Matched topics: hydrology, hydrologic model, streamflow, water management

Abstract Over the past 20 years, the Hydrological Ensemble Prediction Experiment (HEPEX) international community of practice has advanced the science and practice of hydrological ensemble prediction and its application in impact- and risk-based decision-making, fostering innovations through cutting-edge techniques and data that enhance water-related sectors. Here, we present insights from those 20 years on the key priorities for (co)creating broadly applicable hydrological forecasting systems…


Improving differentiable hydrologic modeling with interpretable forcing fusion

Authors: Kamlesh Sawadekar, Yalan Song, Ming Pan, Hylke E. Beck, Rachel McCrary, Paul Ullrich et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133320 · Citations: 11

Matched topics: hydrology, hydrologic model, streamflow

Abstract not available.


Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs

Authors: Watheq J. Al‐Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

Journal: Scientific Reports · DOI: 10.1038/s41598-025-95490-0 · Citations: 18

Matched topics: reservoir

). Results showed that the XGBoost algorithm with configuration of (RS as search algorithm, Box Cox as the normalization method, Z-score for outlier detection, without scale correction, old parameter space) delivered the best prediction performance for permeability with RMSE values of 6.9 md and 9.78 md for training and testing, respectively.


Porosity prediction of tight reservoir rock using well logging data and machine learning

Authors: Yawen He, Hongjun Zhang, Zhiyu Wu, Hongbo Zhang, Xin Zhang, Xiaojing Zhuo et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-95578-7 · Citations: 15

Matched topics: reservoir

The accurate quantification of porosity in tight reservoirs is crucial for optimizing oil and gas exploration and production. Traditional predictive models often face challenges such as high costs, low efficiency, and limited accuracy, hindering effective exploration activities. To address these issues, we apply advanced machine learning algorithms—gradient boosting decision tree (GBDT), random forest, XGBoost, and multilayer perceptron—using well logging data, including acoustic time (AC), w…


Integrating UAV-based multispectral and thermal infrared imageries with machine learning for predicting water stress in winter wheat

Authors: Santosh S. Mali, Michael Scobie, Justine Baillie, Corey Plant, Sayma Shammi, Anup Das

Journal: Precision Agriculture · DOI: 10.1007/s11119-025-10239-z · Citations: 13

Matched topics: water management, irrigation

Abstract not available.


Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed

Authors: Li Feng, Maosheng Zhang, Yimin Mao, Hao Liu, Chuanbo Yang, Ying Dong et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-96748-3 · Citations: 17

Matched topics: hydrologic model

Landslides pose a significant threat to infrastructure, ecosystems, and human safety, necessitating accurate and efficient susceptibility assessment methods. Traditional models often struggle to capture the complex spatial dependencies and interactions between geological and environmental factors. To address this gap, this study employs a deep learning approach, utilizing a convolutional neural network (CNN) for high-precision landslide susceptibility mapping in the Bakhtegan watershed, south…


Water Management, Irrigation, and Groundwater

Water management research this week spans 4 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.

CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

Authors: Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen et al.

Journal: Earth system science data · DOI: 10.5194/essd-17-1551-2025 · Citations: 14

Matched topics: hydrology, hydrologic model, streamflow

Abstract. Large samples of hydrometeorological time series and catchment attributes are critical for improving the understanding of complex hydrological processes, hydrological model development, and performance benchmarking. CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets have been developed in several countries and regions around the world, providing valuable data sources and test beds for hydrological analysis and new frontiers in data-driven hydrological mo…


Participatory Modeling and Scenario Analysis for Managing Mediterranean River Basins Using Quasi-nonlinear Fuzzy Cognitive Maps

Authors: Christopher A. Papadopoulos, T. Bakas, Marios Tyrovolas, Dionissis Latinopoulos, Ifigenia Kagalou, Mike Spiliotis et al.

Journal: Environmental Processes · DOI: 10.1007/s40710-025-00765-3 · Citations: 6

Matched topics: hydrologic model, river, streamflow, water management

Abstract Increasing pressures on water resources, exacerbated by ecological, social, and economic challenges, necessitate innovative management strategies, particularly in systems prone to water use conflicts and vulnerability. To address these complexities, innovative modeling techniques that can capture dynamic interactions and support informed decision-making are needed. Fuzzy Cognitive Maps (FCMs) offer a promising approach by integrating stakeholder perspectives to identify and quantify …


A crop-specific dynamic irrigation scheme in a regional land surface-hydrologic modeling framework for improving human water-use estimation and irrigation impact assessment

Authors: Qianya Yang, Jianhui Wei, Chuanguo Yang, Huanghe Gu, Jianyong Ma, Ningpeng Dong et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133322 · Citations: 4

Matched topics: hydrologic model, land surface model, surface water, irrigation

Abstract not available.


Seasonal agricultural irrigation water deficit in northern China: pattern, trend and causality

Authors: Xiaojie Li, Yongqiang Zhang, Jing Tian, Xuanze Zhang, Ning Ma

Journal: Irrigation Science · DOI: 10.1007/s00271-025-01015-y · Citations: 3

Matched topics: hydrologic model, water management, seasonal, irrigation

Abstract not available.


Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 18 papers advancing understanding of hydrological processes through field observations, modeling, and remote sensing. Research covers snow distribution and dynamics in cold regions, forest-hydrology interactions, land use change impacts on river systems, rainfall-runoff modeling uncertainty, and satellite-based monitoring of terrestrial water resources.

Annual multi-objective optimization model and strategy for scheduling cascade reservoirs on the Yellow River mainstream

Authors: Gang Liu, Enhui Jiang, Lin Li, Jieyu Li, Yuanjian Wang, Wanjie Zhao et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133306 · Citations: 39

Matched topics: hydrologic model, river, runoff, reservoir, water management

Abstract not available.


Global increases of salt intrusion in estuaries under future environmental conditions

Authors: Jiyong Lee, Bouke Biemond, Daan van Keulen, Ymkje Huismans, René M. van Westen, Huib E. de Swart et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-58783-6 · Citations: 30

Matched topics: hydrology, streamflow, earth system model

In recent years, increased salt intrusion in surface waters has threatened freshwater availability in coastal regions worldwide. Yet, current future projections of salt intrusion are limited to local regions or changes to single forcing agents. Here, we quantify compounding contributions from changes in river discharge and relative sea level to changing future salt intrusion under a high-emission scenario (Shared Socioeconomic Pathway, SSP3-7.0) for 18 estuaries around the world. We find that…


Assessing the community knowledge on waste management practices, drinking water source systems, and the possible implications on public health systems

Authors: Joseph Omeiza Alao, Oche Joseph Otorkpa, Daniel A. Ayejoto, Ahmed M. Saqr

Journal: Cleaner Waste Systems · DOI: 10.1016/j.clwas.2025.100295 · Citations: 28

Matched topics: water management, surface water

Assessing the waste management practices and drinking water source systems is essential for public health systems and the well-being of millions. However, inadequate integration of community knowledge into scientific research to effectively address environmental issues remains a great challenge. This study assessed the community knowledge on the prevalent waste management practices, drinking water source systems, and the potential associated health risks using a descriptive cross-sectional de…


The uptake of urban digital twins in the built environment: a pathway to resilient and sustainable cities

Authors: Hossein Omrany, Armin Mehdipour, Daniel Oteng, Karam M. Al-Obaidi

Journal: Computational Urban Science · DOI: 10.1007/s43762-025-00177-x · Citations: 21

Matched topics: hydrologic model, streamflow

Abstract Urban Digital Twin (UDT) technology is increasingly recognised as a promising tool for designing and developing sustainable, resilient urban environments. Nonetheless, the current literature lacks a comprehensive understanding of UDTs’ current applications in the built environment. Therefore, this study addresses the identified gap by analysing scholarly literature and industry reports connected to UDT implementations. The results of scientometric analysis revealed five key research …


Pesticide Pollution Reduces the Functional Diversity of Macroinvertebrates in Urban Aquatic Ecosystems

Authors: Lin Hou, Wei Xiong, Miao Chen, Jian Xu, Andrew C. Johnson, Aibin Zhan et al.

Journal: Environmental Science & Technology · DOI: 10.1021/acs.est.5c01093 · Citations: 25

Matched topics: water management

Urbanization accelerates innovation and economic growth but imposes significant ecological challenges, particularly to aquatic biodiversity and ecosystem functionality. Among urban stressors, pesticide-driven chemical pollution represents a critical, yet under-recognized, global threat. Quantifying the causes and consequences of pesticides on biodiversity loss and ecosystem degradation is vital for ecological risk assessment and management, offering insights to promote sustainable societal de…


Finding optimal Noah-MP parameterizations for the characterization of surface heat fluxes in the Iberian Peninsula

Authors: David Donaire-Montaño, Matilde García‐Valdecasas Ojeda, Nicolás Tacoronte, Juan José Rosa-Cánovas, Yolanda Castro‐Díez, María Jesús Esteban‐Parra et al.

Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2025.108143 · Citations: 4

Matched topics: hydrology, hydrologic model, runoff, streamflow, land surface model

Land surface models (LSMs) play a crucial role in the characterization of land-atmosphere interactions by providing boundary conditions to a regional climate model (RCM). This is particularly true over the Iberian Peninsula (IP), a region where a water-limited regime governs most of the territory. This work aims to optimize the Noah LSM with multiparameterization options (Noah-MP) configuration for characterizing heat fluxes in the IP when the Weather Research and Forecasting (WRF) model v3.9…


Solar interfacial evaporation: From evaporation material design, condensing unit application to practical applications

Authors: Yan Miao, Hui Wang, Xiangting Hou, Kailun Yu, Yang Xiang, Zhaoyong Bian

Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2025.162792 · Citations: 23

Matched topics: water management

Abstract not available.


Warming leads to both earlier and later snowmelt floods over the past 70 years

Authors: Yuhan Guo, Yuting Yang, Dawen Yang, Lu Zhang, Hongxing Zheng, Jinghua Xiong et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-58832-0 · Citations: 18

Matched topics: streamflow, flood

Climate warming reduces snow cover in cold regions, altering snowmelt flood regimes with significant hydrological and ecological consequences. Existing evidence indicates that as climate warms, snowmelt tends to begin earlier in the season, leading to earlier snowmelt floods. Here we show that the timing of snowmelt floods can be either advanced or delayed under warming. Using streamflow observations from 1950-2020 and an event-based analysis that distinguishes flood-generating mechanisms acr…


Snow cover variability assessment and its interplay with hydro-climatic characteristics in data scarce region of Gilgit-Baltistan, Pakistan

Authors: Zeeshan Zafar, Adeel Ahmad Nadeem, Yuanyuan Zha, Hammad Gilani, Aqil Tariq

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.125375 · Citations: 18

Matched topics: streamflow, water management

Abstract not available.


LM4-SHARC v1.0: resolving the catchment-scale soil–hillslope aquifer–river continuum for the GFDL Earth system modeling framework

Authors: Minki Hong, Nathaniel W. Chaney, Sergey Malyshev, Enrico Zorzetto, Anthony Preucil, Elena Shevliakova

Journal: Geoscientific model development · DOI: 10.5194/gmd-18-2275-2025 · Citations: 1

Matched topics: hydrology, hydrologic model, streamflow, land surface model, earth system model

Abstract. Catchment-scale representation of the groundwater and its interaction with other parts of the hydrologic cycle is crucial for accurately depicting the land water–energy balance in Earth system models (ESMs). Despite existing efforts to describe the groundwater in the land component of ESMs, most ESMs still need a prognostic framework for describing catchment-scale groundwater based on its emergent properties to understand the implications for the broader Earth system. To fill this g…


Review of bias correction methods for climate model outputs in hydrology

Authors: Andrea Menapace, Pranav Dhawan, Daniele Dalla Torre, Konstantinos Kaffas, Alice Crespi, Michele Larcher et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133213 · Citations: 15

Matched topics: hydrology, hydrologic model

Abstract not available.


ROBIN: Reference observatory of basins for international hydrological climate change detection

Authors: Stephen Turner, J. Hannaford, Lucy Barker, G. Suman, Alannah Killeen, Richard Armitage et al.

Journal: Scientific Data · DOI: 10.1038/s41597-025-04907-y · Citations: 5

Matched topics: hydrology, hydrologic model, streamflow, climate change

Human-induced warming is modifying the water cycle. Adaptation to posed threats requires an understanding of hydrological responses to climate variability. Whilst these can be computationally modelled, observed streamflow data is essential for constraining models, and understanding and quantifying emerging trends in the water cycle. To date, the identification of such trends at the global scale has been hindered by data limitations - in particular, the prevalence of direct human influences on…


Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China

Authors: Mahmut Tudaji, Yi Nan, Fuqiang Tian

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-1919-2025 · Citations: 11

Matched topics: hydrologic model, streamflow

Abstract. The temporal resolution of forcing and calibration data substantially influences the performance of hydrological models. This impact varies among regions according to the climatic and landscape characteristics of the watersheds. In this study, we evaluate the benefits of using high-resolution rainfall and streamflow data in hydrological modeling across 63 small-to-medium-scale catchments in southeast China. We applied rainfall and streamflow data at various resolutions ranging from …


Attribution of streamflow and its seasonal variation to dual nature-society drivers using CMIP6 data and hydrological models

Authors: Menghao Wang, S. S. Jiang, Liliang Ren, Hao Cui, Shanshui Yuan, Junzeng Xu et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133314 · Citations: 8

Matched topics: hydrologic model, streamflow, seasonal

Abstract not available.


A 37 years [1984–2021] Landsat/Sentinel-2 derived snow cover time-series for Switzerland

Authors: Charlotte Poussin, Pascal Peduzzi, Bruno Chatenoux, Grégory Giuliani

Journal: Scientific Data · DOI: 10.1038/s41597-025-04961-6 · Citations: 3

Matched topics: hydrology, hydrologic model, streamflow, water management

Switzerland, renowned for its mountainous landscapes, holds nearly 10% of Europe’s water reserves, with 40% of its running waters originating from snowmelt. Snow plays a crucial role in the country’s water management, hydroelectric power, and alpine ecosystems. It supports freshwater supply, agriculture, and tourism, making accurate snow monitoring vital for resource management and environmental preservation. Climate change, however, threatens snow cover, impacting water availability, biodive…


Nanofiltration (NF) application in drinking water treatment plants and the challenges of its concentrate management in China

Authors: Juncheng Wang, Yi Liu, Shunke Ding, Yuchun Yang

Journal: Desalination · DOI: 10.1016/j.desal.2025.118937 · Citations: 12

Matched topics: water management, surface water

Abstract not available.


Water resource vulnerabilities from climate-induced tipping point behaviour in runoff volumes and seasonality in the region of the ‘Karakoram Anomaly’: A snow-glacier melt perspective

Authors: Jamal Hassan Ougahi, John S. Rowan

Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2025.102386 · Citations: 2

Matched topics: hydrology, hydrologic model, runoff, hydropower

Hunza River Basin, Karakoram range, Pakistan Assessing the future persistence of the ‘Karakoram Anomaly,’ under climate change scenarios, where glaciers in the region exhibit stable or slightly negative mass balances, contrary to global trends. The study explores how long the anomalous behaviour in Karakoram glaciers will persist under future climate scenarios. The results indicate a significant temperature rise under Shared Socioeconomic Pathway 5 (SSP5), whereas SSP2 exhibits greater variab…


Sensitive Analysis of WRF-Hydro’s Parameters for Multi-Peak Flood Flow: A Case Study in the Ve River Basin, Vietnam

Authors: Thanh Thuy Thi, Nien Ming Hong, T. N. Pham Thi, Thuc Tran Duy, Thang Vu Van, Tri Doan Quang et al.

Journal: Civil and Environmental Engineering · DOI: 10.2478/cee-2025-0026 · Citations: 2

Matched topics: hydrologic model, runoff, streamflow, flood

Abstract The distributed hydrological model is considered one of the important supporting tools for flood forecasting and warning at different sizes of river basins. However, determining an optimal parameter set for these models has been facing with challenges, especially for multi-peak flood flow. Therefore, the primary objective of this study is to explore the sensitivity parameter set of the WRF-Hydro model for a three-peak flood in the Ve River basin, Vietnam. The considered parameters in…


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 954
After deduplication 670
After LLM relevance filtering 50
Rejected (not relevant) 620

Papers by journal

Journal Papers
Journal of Hydrology 6
Scientific Data 4
Nature Communications 4
Scientific Reports 3
Hydrology and earth system sciences 2
Proceedings of the National Academy of Sciences 2
Environmental Processes 2
Comput. Aided Civ. Infrastructure Eng. 1
Cleaner Waste Systems 1
Computers and Electronics in Agriculture 1
Reliability Engineering & System Safety 1
Bulletin of the National Research Centre/Bulletin of the National Research Center 1
Earth system science data 1
Computational Urban Science 1
Environmental Science & Technology 1
GIScience & Remote Sensing 1
Bulletin of the American Meteorological Society 1
Results in Engineering 1
Atmospheric Research 1
Chemical Engineering Journal 1
Journal of Environmental Management 1
Communications Earth & Environment 1
The Lancet Planetary Health 1
Geoscientific model development 1
Applied Thermal Engineering 1
Geophysical Research Letters 1
Environmental Research Energy 1
Precision Agriculture 1
Irrigation Science 1
Pathogens 1
Plant and Soil 1
Desalination 1
Journal of Hydrology Regional Studies 1
Civil and Environmental Engineering 1

Filtering Criteria

Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model

Databases: Semantic Scholar, OpenAlex


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