Weekly Literature Review
Week 19 · May 5–May 11, 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 When physics meets machine learning: a survey of physics-informed machine learni, with 121 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
- Executive Summary
- Climate Change and Terrestrial Water Storage
- Global emergence of unprecedented lifetime exposure to climate extremes
- High-income groups disproportionately contribute to climate extremes worldwide
- Connecting land tenure to climate change
- HESS Opinions: Floods and droughts – are land use, soil management, and landscape hydrology more significant drivers than increasing CO 2 ?
- A half-century of climate change in major agricultural regions: Trends, impacts, and surprises
- Climate Change Impacts on River Hydraulics: A Global Synthesis of Hydrological Shifts, Ecological Consequences, and Adaptive Strategies
- Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East
- Global mismatch between ecosystem service supply and demand driven by climate change and human activity
- Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities
- Exploring the combined effects of drought and drought-flood abrupt alternation on vegetation using interpretable machine learning model and r-vine copula function
- Water-saving irrigation can mitigate climate change but entails negative side effects on biodiversity in rice paddy fields
- Investigating the drought propagation dynamics between meteorological and groundwater drought in the Yellow River Basin, China
- Soil moisture and evapotranspiration responses to precipitation uncertainty using Noah-MP land surface model
- Thermal resilience to climate change of energy retrofit technologies for building envelope
- Application of GLDAS models and ALS point clouds in assessing the impact of modified evapotranspiration on the water budget
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- When physics meets machine learning: a survey of physics-informed machine learning
- Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning
- Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths
- Interpretable machine learning for coastal wind prediction: Integrating SHAP analysis and seasonal trends
- Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model
- Recent Advances in Remote Sensing and Artificial Intelligence for River Water Quality Forecasting: A Review
- Improving Evaporative Loss Forecasts in Arid Climates by Integrating Machine Learning Models With Feature Selection Algorithms
- Evaluating the impact of urbanization patterns on LST and UHI effect in Afghanistan’s Cities: a machine learning approach for sustainable urban planning
- Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea
- A novel machine learning models for meteorological drought forecasting in the semi-arid climate region
- Deep learning can predict global earthquake-triggered landslides
- A Novel Approach for Water Resources Management to Accurate River Flow Prediction: Utilization of Linear Programming and Weighted Ensemble Learning
- Water Management, Irrigation, and Groundwater
- Sustainable water allocation under climate change: Deep learning approaches to predict drinking water shortages
- Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)
- Adaptive thermal buffering in solar desalination: Seasonally optimized PCM selection for extreme diurnal climates
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Birds of the Lower Colorado River Valley
- The defected cobalt sulfide for efficient solar water evaporation: Understanding cobalt-based material induced photothermal conversion
- Unique biomimetic self-floating 3D Janus ‘integrated system’ for efficient interfacial solar steam generation and wastewater treatment
- Responses of seasonal hydrological processes to vegetation change in the Yellow River basin
- Multiphase flow controlled by synergistic injection-production pressure: Enabling CO2 geo-sequestration with additional gas recovery from vertically heterogeneous depleted shale reservoirs
- Climate Change Impacts on Long-Term Streamflow Sustainability in a Regulated River of Eastern India Using Environmental Flow Envelope
- Presence of microplastic particles increased abundance of pathogens and antimicrobial resistance genes in microbial communities from the Oder river water and sediment
- Coupled and coordinated development of water-energy-food-ecology-land system in the Yangtze River Delta, China
- Soil properties under different land uses and slope gradients: Implications for sustainable land management in the Tach Karnuary watershed, Northwestern Ethiopia
- Quantum Optical Reservoir Computing powered by Boson Sampling
- Spatio-temporal evolution characteristics and influencing factors of traditional villages in the Qiantang River Basin based on historical geographic information
- Integrated Remote Sensing and Deep Learning Models for Flash Flood Detection Based on Spatio-temporal Land Use and Cover Changes in the Mediterranean Region
- Water erosion risk assessment and predictive modelling for cultural heritage under climate change: A case study of the Great Wall in the Yellow River Basin, China
- Analyzing Compound Flooding Drivers Across the US Gulf Coast States
- Globally increased cropland soil exposure to climate extremes in recent decades
- Evaluation of contaminants of emerging concern in surface waters (rivers and lake) from Peru: Occurrence and environmental risk assessment
- Nitrogen budget and environmental losses from irrigated corn in the Suwannee River Basin, North Florida
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 15 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.
Global emergence of unprecedented lifetime exposure to climate extremes
Authors: Luke Grant, Inne Vanderkelen, Lukas Gudmundsson, Erich Fischer, Sonia I. Seneviratne, Wim Thiery
Journal: Nature · DOI: 10.1038/s41586-025-08907-1 · Citations: 90
Matched topics: earth system model
. Yet, how this translates into unprecedented cumulative extreme event exposure in a person’s lifetime remains unclear. Here we use climate models, impact models and demographic data to project the number of people experiencing cumulative lifetime exposure to climate extremes above the 99.99th percentile of exposure expected in a pre-industrial climate. We project that the birth cohort fraction facing this unprecedented lifetime exposure to heatwaves, crop failures, river floods, droughts, wi…
High-income groups disproportionately contribute to climate extremes worldwide
Authors: Sarah Schöngart, Zebedee Nicholls, Roman Hoffmann, Setu Pelz, Carl‐Friedrich Schleussner
Journal: Nature Climate Change · DOI: 10.1038/s41558-025-02325-x · Citations: 45
Matched topics: earth system model
Abstract Climate injustice persists as those least responsible often bear the greatest impacts, both between and within countries. Here we show how GHG emissions from consumption and investments attributable to the wealthiest population groups have disproportionately influenced present-day climate change. We link emissions inequality over the period 1990–2020 to regional climate extremes using an emulator-based framework. We find that two-thirds (one-fifth) of warming is attributable to the w…
Connecting land tenure to climate change
Authors: Uchendu Eugene Chigbu
Journal: Land Use Policy · DOI: 10.1016/j.landusepol.2025.107587 · Citations: 32
Matched topics: climate change
Abstract not available.
HESS Opinions: Floods and droughts – are land use, soil management, and landscape hydrology more significant drivers than increasing CO 2 ?
Authors: K. Auerswald, Juergen Geist, John Quinton, Peter Fiener
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-2185-2025 · Citations: 4
Matched topics: hydrology, hydrologic model, runoff, flood, drought, land surface model
Abstract. Floods, droughts, and heatwaves are increasing globally. This is typically attributed to CO2-driven climate change. However, at the global scale, CO2-driven climate change neither reduces precipitation nor adequately explains droughts despite the modest increase in evapotranspiration due to temperature rise. Past land-use changes, particularly soil sealing, compaction, and drainage, are likely to be more significant for water losses resulting from runoff and leading to flooding and …
A half-century of climate change in major agricultural regions: Trends, impacts, and surprises
Authors: David B. Lobell, Stefania Di Tommaso
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2502789122 · Citations: 27
Matched topics: climate change
benefits likely exceeded climate-related losses for soybean and rice. Aggregate global yield losses are very similar to what models would have predicted, with the two biases above largely offsetting each other. Climate model biases in reproducing VPD trends may partially explain the ineffectiveness of some adaptations predicted by modeling studies, such as farmer shifts to longer maturing varieties.
Climate Change Impacts on River Hydraulics: A Global Synthesis of Hydrological Shifts, Ecological Consequences, and Adaptive Strategies
Authors: Basim K. Nile, Riyadh Jasim Mohammed Al-Saadi, Layth Abdulameer, Najah M. L. Al Maimuri, Ahmed N. Al-Dujaili
Journal: Water Conservation Science and Engineering · DOI: 10.1007/s41101-025-00375-y · Citations: 15
Matched topics: hydrologic model, river, climate change
Abstract not available.
Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East
Authors: Younes Khosravi, Taha B. M. J. Ouarda, Saeid Homayouni
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-025-01033-9 · Citations: 24
Matched topics: streamflow
Abstract Climate change in the Middle East has intensified with rising temperatures, shifting rainfall patterns, and more frequent extreme events. This study introduces the Stacking-EML framework, which merges five machine learning models three meta-learners to predict maximum temperature, minimum temperature, and precipitation using CMIP6 data under SSP1-2.6, SSP2-4.5, and SSP5-8.5. The results indicate that Stacking-EML not only significantly improves prediction accuracy compared to individ…
Global mismatch between ecosystem service supply and demand driven by climate change and human activity
Authors: Shiqi Tian, Wei Wu, Shaofeng Chen, Zhe Li, Kai Li
Journal: Environmental Science and Ecotechnology · DOI: 10.1016/j.ese.2025.100573 · Citations: 24
Matched topics: climate change
Assessing the balance between ecosystem service supply and demand (ESSD) relationship and identifying its driving factors is essential for addressing ecosystem degradation. While previous local-scale studies have highlighted climate change and human activities as critical influences, their roles at a global scale remain poorly understood. Here, we analyze the global dynamics of supply-demand relationships for four key ecosystem services-food production, carbon sequestration, soil conservation…
Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities
Authors: Tianhong Zhao, Xiucheng Liang, Filip Biljecki, Wei Tu, Jinzhou Cao, Xiaojiang Li et al.
Journal: Computers Environment and Urban Systems · DOI: 10.1016/j.compenvurbsys.2025.102302 · Citations: 21
Matched topics: seasonal
Street view imagery (SVI), with its rich visual information, is increasingly recognized as a valuable data source for urban research. Particularly, by leveraging computer vision techniques, SVI can be used to calculate various urban form indices (e.g., Green View Index, GVI), providing a new approach for large-scale quantitative assessments of urban environments. However, SVI data collected at the same location in different seasons can yield varying urban form indices due to phenological chan…
Exploring the combined effects of drought and drought-flood abrupt alternation on vegetation using interpretable machine learning model and r-vine copula function
Authors: Lulu Xie, Yi Li, Ziya Zhang, Kadambot H. M. Siddique, Xiaoyan Song
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2025.110568 · Citations: 16
Matched topics: flood, drought
Abstract not available.
Water-saving irrigation can mitigate climate change but entails negative side effects on biodiversity in rice paddy fields
Authors: Sebastián Echeverría-Progulakis, Maite Martínez‐Eixarch, Dani Boix, Raül Llevat, Lluís Jornet, Joan Noguerol Arias et al.
Journal: Agriculture Ecosystems & Environment · DOI: 10.1016/j.agee.2025.109719 · Citations: 8
Matched topics: water management, climate change, irrigation
Tackling climate change while enhancing biodiversity without compromising production is a main goal in agricultural management. In rice farming, water-saving irrigation techniques alternative to permanent flooding have been globally adopted to face more severe and frequent droughts and have proven effective in reducing greenhouse gas emissions. Yet potential trade-offs with other global concerning environmental issues such as biodiversity conservation are often overlooked. Here we used a fiel…
Investigating the drought propagation dynamics between meteorological and groundwater drought in the Yellow River Basin, China
Authors: Kaizheng Xiang, Wenlong Song, Jingxuan Lu, Anzhou Zhao, Yizhu Lu, Tianshi Feng et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133446 · Citations: 12
Matched topics: river, drought
Abstract not available.
Soil moisture and evapotranspiration responses to precipitation uncertainty using Noah-MP land surface model
Authors: Seulchan Lee, Jongmin Park, Jaehwan Jeong, Minha Choi
Journal: Stochastic Environmental Research and Risk Assessment · DOI: 10.1007/s00477-025-02991-5 · Citations: 4
Matched topics: hydrology, hydrologic model, land surface model
Accurate precipitation data are crucial for hydrological modeling, particularly in regions with significant climatic variability such as Monsoon Asia. This study assesses the performance of five precipitation products, integrated multi-satellite retrievals for GPM (IMERG), climate hazards group infrared precipitation with station data (CHIRPS), Global Data Assimilation System (GDAS), modern-era retrospective analysis for research and applications, version 2 (MERRA2), and MERRA2 with in-situ c…
Thermal resilience to climate change of energy retrofit technologies for building envelope
Authors: Giuseppe Aruta, Fabrizio Ascione, Teresa Iovane, Margherita Mastellone
Journal: Energy · DOI: 10.1016/j.energy.2025.136489 · Citations: 16
Matched topics: climate change
Over the past 20 years, energy retrofit measures for buildings, such as thermal insulation and window replacement, were standard practices. To further enhance the energy performance of building envelopes, innovative technologies like double-skin façades, opaque ventilated façades, and green roofs are also available, fostering a positive interaction between buildings and the environment. The paper evaluates the resilience of building technologies in relation to climate evolution and warming, c…
Application of GLDAS models and ALS point clouds in assessing the impact of modified evapotranspiration on the water budget
Authors: Monika Biryło, Wioleta Błaszczak-Bąk, Czesław Suchocki
Journal: Water Research · DOI: 10.1016/j.watres.2025.123746 · Citations: 6
Matched topics: hydrologic model, runoff, land surface model
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 3 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.
How extreme rainfall and failing dams unleashed the Derna flood disaster
Authors: Ayman Mokhtar Nemnem, Ahad Hasan Tanim, Audrika Nahian, Mohammad Sadik Khan, Erfan Goharian, Jasim Imran
Journal: Nature Communications · DOI: 10.1038/s41467-025-59261-9 · Citations: 19
Matched topics: hydrology, hydrologic model, runoff, flood
On September 11, 2023, Storm Daniel unleashed unprecedented rainfall over the Wadi Derna watershed, triggering one of the most devastating floods in modern history, striking Derna, a coastal city in Libya. This study reconstructs the disaster using an integrated modeling approach that combines satellite imagery, hydrologic, hydraulic, and geotechnical simulations, machine learning, eyewitness accounts, and digital elevation data to assess the impact of cascading dam failures. Our findings rev…
Comparative analysis of hydraulic and GIS-based Height Above the Nearest Drainage model for fluvial flood hazard mapping: a case of the Gidra River, Slovakia
Authors: Matej Vojtek, Soheyl Moradi, Andrea Petroselli, Jana Vojteková
Journal: Stochastic Environmental Research and Risk Assessment · DOI: 10.1007/s00477-025-02988-0 · Citations: 6
Matched topics: hydrology, river, runoff, streamflow, flood
Abstract Fluvial flooding is characterized by flood discharges, which cause overflowing of the river banks and endangering the adjacent floodplains. In this study, we studied the 3.1 km section of the Gidra River (western Slovakia), which belongs to critical river sections prone to fluvial flooding. We aimed to compare two approaches for fluvial flood hazard mapping. Hydraulic approach was performed with the use of MIKE + model while the GIS-based approach was carried out using the Height Abo…
The Earth Topography 2022 (ETOPO 2022) global DEM dataset
Authors: Michael MacFerrin, Christopher Amante, Kelly S. Carignan, Matthew R. Love, Elliot Lim
Journal: Earth system science data · DOI: 10.5194/essd-17-1835-2025 · Citations: 20
Matched topics: land surface model, earth system model
Abstract. Here we present Earth TOPOgraphy (ETOPO) 2022, the latest iteration of NOAA’s global seamless topographic–bathymetric dataset. ETOPO1, NOAA’s prior release at 1 arcmin resolution, has been a widely used benchmark global digital elevation model (DEM) since its initial release in 2009 (Amante and Eakins, 2009). Tsunami forecasting, modeling, and warning systems critically rely upon accurate topographic and bathymetric data to predict and reproduce water movement across global ocean su…
Machine Learning and AI for Hydrological Prediction
This week’s 12 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.
When physics meets machine learning: a survey of physics-informed machine learning
Authors: Chuizheng Meng, Sam Griesemer, Defu Cao, Sungyong Seo, Yan Liu
Journal: Machine learning for computational science and engineering · DOI: 10.1007/s44379-025-00016-0 · Citations: 121
Matched topics: earth system model
Abstract Physics-informed machine learning (PIML), the combination of prior physics knowledge with data-driven machine learning models, has emerged as an effective means of mitigating a shortage of training data, increasing model generalizability, and ensuring physical plausibility of results. In this paper, we survey a wide variety of recent works in PIML and summarize them from three key aspects: 1) motivations of PIML, 2) physics knowledge in PIML, and 3) methods of physics knowledge integ…
Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning
Authors: Jun Tan, R. Radhi, Kimia Shirini, S. S. Gharehveran, Zamen Parisooz, Mohsen Khosravi et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-025-98235-1 · Citations: 29
Matched topics: hydropower
Hydropower systems face significant challenges in load control and fault detection due to their complex operational dynamics. This study presents an innovative framework combining Digital Twin technology with Deep Learning to enhance fault detection, optimize operations, and improve system resilience. We developed a hybrid approach integrating a Digital Twin model of the hydropower system with advanced Deep Learning algorithms for real-time monitoring and predictive analysis. The proposed fra…
Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths
Authors: Mohamed Fathi, Md Abdullah Al Mehedi, Virginia Smith, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry
Journal: Scientific Reports · DOI: 10.1038/s41598-025-96577-4 · Citations: 14
Matched topics: hydrology, hydrologic model, runoff, streamflow
Accurate high-resolution runoff predictions are essential for effective flood mitigation and water planning. In hydrology, conceptual models are preferred for their simplicity, despite their limited capacity for accurate predictions. Deep-learning applications have recently shown promise for runoff predictions; however, they usually require longer input data sequences, especially for high-temporal resolution simulations, thus leading to increased model complexity. To address these challenges,…
Interpretable machine learning for coastal wind prediction: Integrating SHAP analysis and seasonal trends
Authors: Ahmet Durap
Journal: Journal of Coastal Conservation · DOI: 10.1007/s11852-025-01108-y · Citations: 21
Matched topics: hydrology, seasonal
Abstract Accurate wind speed prediction plays an important role in developing effective coastal management strategies and risk assessments, especially in coastal region managements to reduce erosion damage. In offshore wind energy, precise forecasts optimize wind farm layout and operations, maximizing energy yield and minimizing downtime. Additionally, accurate wind speed forecasts significantly improve maritime transportation safety by predicting hazardous conditions. Understanding wind patt…
Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model
Authors: Moustafa Gamal Snousy, Hussein M. Elshafie, Ahmed Abouelmagd, Najmaldin Ezaldin Hassan, Mahmoud E. Abd-Elmaboud, Ali Akbar Mohammadi et al.
Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2025.102424 · Citations: 21
Matched topics: hydrologic model, water management
Study region: The west of Minia Governorate, Egypt. Study focus: This study presents a novel hybrid arctic puffin–hippopotamus optimization (HPHO) algorithm combined with an artificial neural network (ANN) to improve irrigation water quality index (IWQI) predictions in semi-arid areas. A total of 88 groundwater samples from the study region were collected and analyzed using statistical and graphical tools. Hydrochemical facies showed a dominance of calcium bicarbonate (CaHCO₃) water, indicati…
Recent Advances in Remote Sensing and Artificial Intelligence for River Water Quality Forecasting: A Review
Authors: Daiwei Pan, Ying Deng, Simon X. Yang, Baharam Gharabaghi
Journal: Environments · DOI: 10.3390/environments12050158 · Citations: 24
Matched topics: river
Rapid population growth and climate change have created challenges for managing water quality. Protecting water sources and devising practical solutions are essential for restoring impaired inland rivers. Traditional water quality monitoring and forecasting methods rely on labor-intensive sampling and analysis, which are often costly. In recent years, real-time monitoring, remote sensing, and machine learning have significantly improved the accuracy of water quality forecasting. This paper ca…
Improving Evaporative Loss Forecasts in Arid Climates by Integrating Machine Learning Models With Feature Selection Algorithms
Authors: Abdullah A. Alsumaiei
Journal: JAWRA Journal of the American Water Resources Association · DOI: 10.1111/1752-1688.70025 · Citations: 14
Matched topics: hydrology, hydrologic model, streamflow
ABSTRACT Evaporation is a major water‐loss process that significantly disrupts the hydrological cycle; therefore, reliable and continuous evaporation monitoring is essential for decision‐makers in water resource management. However, hyper‐arid climates exhibit accelerated evaporation rates, complicating hydrological modeling. This study represents the first attempt to integrate the RReliefF algorithm for meteorological feature selection with machine learning models for pan evaporation predict…
Evaluating the impact of urbanization patterns on LST and UHI effect in Afghanistan’s Cities: a machine learning approach for sustainable urban planning
Authors: Sajid Ullah, Mudassir Khan, Xiuchen Qiao
Journal: Environment Development and Sustainability · DOI: 10.1007/s10668-025-06249-6 · Citations: 21
Matched topics: land surface model
Abstract not available.
Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea
Authors: Shuo Wang, Kehu Yang, Hui Peng
Journal: Frontiers in Marine Science · DOI: 10.3389/fmars.2025.1540912 · Citations: 5
Matched topics: hydrology, river, streamflow, seasonal
The Yellow River is the largest inflow into the Bohai Sea, and its inflow changes directly affect the ecological environment and marine health of the Bohai Sea. Therefore, accurate prediction of the inflow of the Yellow River is crucial for maintaining the ecological balance of the Bohai Sea and protecting marine resources. Time decomposition algorithms, combined with machine learning, are effective tools to enhance the capabilities of inflow prediction models. However future data leakage fro…
A novel machine learning models for meteorological drought forecasting in the semi-arid climate region
Authors: Chaitanya Baliram Pande, Dinesh Kumar Vishwakarma, Aman Srivastava, Kanak N. Moharir, Fahad Alshehri, Norashidah Md Din et al.
Journal: Applied Water Science · DOI: 10.1007/s13201-025-02445-x · Citations: 8
Matched topics: hydrologic model, streamflow, drought
The central region of Maharashtra, India, is susceptible to agriculture, meteorological, and hydrological droughts, impacting local ecosystems. The scarcity of historical data impedes monitoring and forecasting regional droughts. Given the limited studies on ensemble and Machine Learning (ML) models for drought forecasting, this research compares five ML models [Robust Linear Regression, Bagged Trees, Boosted Trees, Support Vector Machine (SVM), and Matern Gaussian Process Regression (GPR)] t…
Deep learning can predict global earthquake-triggered landslides
Authors: Xuanmei Fan, Xin Wang, Chengyong Fang, John D. Jansen, Lanxin Dai, Hakan Tanyaş et al.
Journal: National Science Review · DOI: 10.1093/nsr/nwaf179 · Citations: 17
Matched topics: hydrology
Earthquake-triggered (coseismic) landsliding is among the most lethal of disasters, and rapid response is crucial to prevent cascading hazards that further threaten lives and infrastructure. Current prediction approaches are limited by oversimplified physical models, regionally focused databases, and retrospective statistical methods, which impede timely and accurate hazard assessments. To overcome these constraints, we developed the first comprehensive global database of ∼400 000 landslides …
A Novel Approach for Water Resources Management to Accurate River Flow Prediction: Utilization of Linear Programming and Weighted Ensemble Learning
Authors: Mojtaba Poursaeid
Journal: Water Resources Management · DOI: 10.1007/s11269-025-04230-6 · Citations: 7
Matched topics: river, streamflow, water management
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 3 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.
Sustainable water allocation under climate change: Deep learning approaches to predict drinking water shortages
Authors: Hamid Kardan Moghaddam, Zahra Rahimzadeh kivi, Ebrahim Abtahizadeh, Soroush Abolfathi
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.125600 · Citations: 38
Matched topics: hydrologic model, water management, land surface model, climate change, surface water
Addressing sustainable urban water supply has become one of the most critical challenges for modern megacities, particularly in arid and semi-arid regions where rapid urbanization and climate change converge to exacerbate resource scarcity. Tehran, a metropolis under mounting water stress, exemplifies this global crisis. With population pressures, migration, poor urban planning, and inadequate environmental management intensifying the demand for water, reliance on groundwater surged to over 5…
Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)
Authors: Abhijeet Das
Journal: Environmental Monitoring & Assessment · DOI: 10.1007/s10661-025-14065-8 · Citations: 30
Matched topics: river, water management, surface water, irrigation
Abstract not available.
Adaptive thermal buffering in solar desalination: Seasonally optimized PCM selection for extreme diurnal climates
Authors: Hossam AbdelMeguid
Journal: Solar Energy Materials and Solar Cells · DOI: 10.1016/j.solmat.2025.113687 · Citations: 23
Matched topics: seasonal
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 17 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.
Birds of the Lower Colorado River Valley
Authors: K. Rosenberg, R. D. Ohmart, W. C. Hunter, B. Anderson
Journal: ** · DOI: 10.2307/jj.28174314 · Citations: 72
Matched topics: river
Birds of the Lower Colorado River Valley. 1991. Kenneth V. Rosenberg, Robert D. Ohmart, William C. Hunter, and Bertin W. Anderson. University of Arizona Press, Tucson. 416 pp., 33 black and white figures and 6 tables. Price: $40.00 clothbound. The Colorado River, running from its sources in the Rocky Mountain areas of Wyoming and Colorado to its mouth at the head of the Gulf of California, is the only large body of water passing through the arid areas of southern Nevada, western Arizona, and …
The defected cobalt sulfide for efficient solar water evaporation: Understanding cobalt-based material induced photothermal conversion
Authors: Qing Wan, Xiang Peng, Congming Tang, Xinli Li, Zhi Chen
Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2025.163551 · Citations: 43
Matched topics: surface water
Abstract not available.
Unique biomimetic self-floating 3D Janus ‘integrated system’ for efficient interfacial solar steam generation and wastewater treatment
Authors: Qidong Zha, Zuozhu Yin, Guoyan Yang, Rirong Wang, Yu Xie, Yuhua Chen et al.
Journal: Separation and Purification Technology · DOI: 10.1016/j.seppur.2025.133439 · Citations: 42
Matched topics: surface water
Abstract not available.
Responses of seasonal hydrological processes to vegetation change in the Yellow River basin
Authors: Jinkai Luan, Ning Ma
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133449 · Citations: 11
Matched topics: hydrologic model, river, runoff, seasonal, land surface model
Abstract not available.
Multiphase flow controlled by synergistic injection-production pressure: Enabling CO2 geo-sequestration with additional gas recovery from vertically heterogeneous depleted shale reservoirs
Authors: Shengqi Zhang, Kais Ben Abdallah, Li Li, Essaïeb Hamdi, Jun Liu
Journal: Fuel · DOI: 10.1016/j.fuel.2025.135591 · Citations: 30
Matched topics: reservoir
Abstract not available.
Climate Change Impacts on Long-Term Streamflow Sustainability in a Regulated River of Eastern India Using Environmental Flow Envelope
Authors: Smaranika Mahapatra, Madan K. Jha
Journal: Environmental Processes · DOI: 10.1007/s40710-025-00774-2 · Citations: 11
Matched topics: hydrologic model, river, streamflow, climate change
Abstract not available.
Presence of microplastic particles increased abundance of pathogens and antimicrobial resistance genes in microbial communities from the Oder river water and sediment
Authors: P. Cholewińska, K. Wojnarowski, N. Szeligowska, P. Pokorný, W. Hussein, Y. Hasegawa et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-025-01136-6 · Citations: 18
Matched topics: river
High abundance of microplastic particles (MPs) in the water environment could be a factor in spreading of pathogens and antimicrobial resistance genes (AMR), especially antibiotic resistance genes (ARGs). The aim of our study was to assess changes in the microbial community developing on microplastic surfaces incubated in water from the Oder River—one of Central Europe’s major rivers, flowing through three countries (Czechia, Germany, and Poland)—whose diverse, 20,000-km2 catchment area (enco…
Coupled and coordinated development of water-energy-food-ecology-land system in the Yangtze River Delta, China
Authors: Qing Qin, Weijun He, Liang Yuan, Dagmawi Mulugeta Degefu, Thomas Stephen Ramsey
Journal: npj Clean Water · DOI: 10.1038/s41545-025-00472-4 · Citations: 16
Matched topics: river, hydropower
Abstract The Yangtze River Delta (YRD) region, a pivotal economic hub in China, relies on water, energy, food, ecology, land, for its prosperity development. Therefore, evaluating their coupling and coordination aids the YRD’s sustainable development. This study integrated ecology and land into the water-energy-food system to form a water-energy-food-ecology-land system (WEFEFS), and the entropy weight model, comprehensive evaluation index model and coupling coordination degree models were us…
Soil properties under different land uses and slope gradients: Implications for sustainable land management in the Tach Karnuary watershed, Northwestern Ethiopia
Authors: Tenagne Ewunetu, Yihenew G. Selassie, Eyayu Molla, Habtamu Admase, Ashenafei Gezahegn
Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2025.1518068 · Citations: 19
Matched topics: hydrology
Introduction: Soil degradation resulting from land use changes and topographic variations poses a significant threat to agricultural productivity and environmental sustainability in the Northwestern Ethiopian Highlands. Assessing the influence of land use and slope gradient on soil physicochemical properties is crucial for developing sustainable land management strategies. Methods: This study investigated the effects of four land-use types (cultivated land, grazing land, forest land, and euca…
Quantum Optical Reservoir Computing powered by Boson Sampling
Authors: A. Sakurai, A. Hayashi, W. Munro, Kae Nemoto
Journal: Optica Quantum · DOI: 10.1364/opticaq.541432 · Citations: 16
Matched topics: reservoir
It is well known that boson sampling, a restricted non-universal quantum computation model, enables one to perform tasks that are hard to accomplish with digital computers. Boson sampling is associated with sampling the probability distribution of identical bosons passing through a random interferometer, and its quantum advantage has been demonstrated. It has, however, proven elusive to use such a model for practical applications. In this work, we show that the random interferometer powering …
Spatio-temporal evolution characteristics and influencing factors of traditional villages in the Qiantang River Basin based on historical geographic information
Authors: Siqi Gao, Jingxuan Wang, Shupeng Liu, Xiwei Xu, Yuqi Liao, Zijian Zhang et al.
Journal: npj Heritage Science · DOI: 10.1038/s40494-025-01665-3 · Citations: 14
Matched topics: hydrology, river
Traditional villages are vital carriers of rural cultural heritage. Examining traditional villages’ distribution and relationships with environments from a historical-geographical perspective can support holistic preservation and adaptive utilization of regional cultural heritage. This study analyzes the spatio-temporal distribution and influencing factors of 595 traditional villages in the Qiantang River Basin by constructing a historical geographic information database. Results reveal:(1) A…
Integrated Remote Sensing and Deep Learning Models for Flash Flood Detection Based on Spatio-temporal Land Use and Cover Changes in the Mediterranean Region
Authors: Yacine Hasnaoui, Salah Eddine Tachi, Hamza Bouguerra, Zaher Mundher Yaseen, Gordon Gilja, Robert Szczepanek et al.
Journal: Environmental Modeling & Assessment · DOI: 10.1007/s10666-025-10035-z · Citations: 13
Matched topics: hydrologic model, flood
Abstract not available.
Water erosion risk assessment and predictive modelling for cultural heritage under climate change: A case study of the Great Wall in the Yellow River Basin, China
Authors: Tianlian Wang, Zhiyuan Fu, Shijie Zhang, Zhe Li
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2025.145645 · Citations: 13
Matched topics: river, climate change
Abstract not available.
Analyzing Compound Flooding Drivers Across the US Gulf Coast States
Authors: Meraj Sohrabi, Hamed Moftakhari, Hamid Moradkhani
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl114769 · Citations: 8
Matched topics: hydrology, streamflow, flood
Abstract Analyzing flood events has been the focus of numerous studies across local, regional, and global scales, aiming to understand their magnitude, drivers, and spatiotemporal distributions. Traditionally, flood hazards are defined by analyzing the likelihood of flood drivers exceeding their respective thresholds. This approach relies on events around gauge locations with accessible records. The availability of reanalysis and satellite data sets now allows us to leverage data from multipl…
Globally increased cropland soil exposure to climate extremes in recent decades
Authors: Luwei Feng, Yumiao Wang, Rasmus Fensholt, Xiaoye Tong, Torbern Tagesson, Xiaoxin Zhang et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-59544-1 · Citations: 17
Matched topics: hydrology
Soil quality is fundamental to nutrient-rich food production and the sustainability of terrestrial ecosystems. However, inappropriate agricultural practices often lead to persistent soil exposure to air and sunlight, which increases soil organic matter losses and erosion risks, particularly under climate extremes. Here, we provide a satellite-based mapping of daily soil exposure occurrence across global croplands from 2001 to 2022 and evaluate the associated degradation risks caused by extrem…
Evaluation of contaminants of emerging concern in surface waters (rivers and lake) from Peru: Occurrence and environmental risk assessment
Authors: Jessica I. Nieto-Juárez, Noelia R Sarzosa-Cano, Efraím A. Serna-Galvis, Ricardo A. Torres-Palma, David Fabregat‐Safont, Ana M. Botero-Coy et al.
Journal: Environment International · DOI: 10.1016/j.envint.2025.109522 · Citations: 12
Matched topics: river, surface water
This study represents one of the first efforts to investigate the presence and environmental risk of contaminants of emerging concern (CECs) in surface water of the main watersheds of the Department of Lima (Rímac River, Chillón River, and Lurin River), Department of Arequipa (Chili-Quilca-Vítor River, Cámana-Majes River, and Tambo River), and Department of Puno (Lake Titicaca) from Peru. Water samples were collected during two sampling campaigns (June and September-October 2023) in Lima and …
Nitrogen budget and environmental losses from irrigated corn in the Suwannee River Basin, North Florida
Authors: Diego Arruda Huggins de Sá Leitão, Winniefred Griffin, Tom Obreza, Lakesh K. Sharma
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.125720 · Citations: 7
Matched topics: river, water management, irrigation
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 866 |
| After deduplication | 618 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 568 |
Papers by journal
| Journal | Papers |
|---|---|
| Scientific Reports | 3 |
| Journal of Environmental Management | 2 |
| Nature Communications | 2 |
| Journal of Hydrology | 2 |
| Stochastic Environmental Research and Risk Assessment | 2 |
| Machine learning for computational science and engineering | 1 |
| Nature | 1 |
| 1 | |
| Environmental Monitoring & Assessment | 1 |
| Nature Climate Change | 1 |
| Chemical Engineering Journal | 1 |
| Separation and Purification Technology | 1 |
| Land Use Policy | 1 |
| Fuel | 1 |
| Journal of Coastal Conservation | 1 |
| Environmental Processes | 1 |
| Hydrology and earth system sciences | 1 |
| Proceedings of the National Academy of Sciences | 1 |
| Journal of Hydrology Regional Studies | 1 |
| Earth system science data | 1 |
| Water Conservation Science and Engineering | 1 |
| Environments | 1 |
| npj Climate and Atmospheric Science | 1 |
| Environmental Science and Ecotechnology | 1 |
| JAWRA Journal of the American Water Resources Association | 1 |
| Solar Energy Materials and Solar Cells | 1 |
| Computers Environment and Urban Systems | 1 |
| Environment Development and Sustainability | 1 |
| npj Clean Water | 1 |
| Agricultural and Forest Meteorology | 1 |
| Frontiers in Marine Science | 1 |
| Frontiers in Environmental Science | 1 |
| Optica Quantum | 1 |
| npj Heritage Science | 1 |
| Environmental Modeling & Assessment | 1 |
| Journal of Cleaner Production | 1 |
| Geophysical Research Letters | 1 |
| Applied Water Science | 1 |
| Agriculture Ecosystems & Environment | 1 |
| National Science Review | 1 |
| Environment International | 1 |
| Water Resources Management | 1 |
| Energy | 1 |
| Water Research | 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