Weekly Literature Review
Week 22 · May 26–June 1, 2025
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across 6 themes. The most cited paper examines Impacts of climate change on global agriculture accounting for adaptation, with 154 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
- Impacts of climate change on global agriculture accounting for adaptation
- Biochar-enhanced removal of naphthenic acids from oil sands process water: Influence of feedstock and chemical activation
- Phenolic compounds, antioxidant enzymes, and oxidative stress in barley (Hordeum vulgare L.) genotypes under field drought-stress conditions
- Transforming hydropower: An in-depth systematic review of climate change impacts
- Glacier preservation doubled by limiting warming to 1.5°C versus 2.7°C
- Global Heatwaves Dynamics Under Climate Change Scenarios: Multidimensional Drivers and Cascading Impacts
- Coupled effects of the anisotropic permeability and adsorption-induced deformation on the hydrogen and carbon reservoir extraction dynamics
- Agricultural Benefits of Shelterbelts and Windbreaks: A Bibliometric Analysis
- Environmental drivers of antibiotic resistance: Synergistic effects of climate change, co-pollutants, and microplastics
- E3SM‐GCAM: A Synchronously Coupled Human Component in the E3SM Earth System Model Enables Novel Human‐Earth Feedback Research
- Declining Freshwater Availability in the Colorado River Basin Threatens Sustainability of Its Critical Groundwater Supplies
- Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems
- An agricultural drought early warning threshold model with considering copula combined with diminishing marginal benefit theory: A case study in the Yellow River basin
- Global Mapping of Concurrent Hazards and Impacts Associated With Climate Extremes Under Climate Change
- Spatiotemporal Patterns of Drought Migration Across the Contiguous United States
- How Does Assimilating SMAP Soil Moisture Improve Characterization of the Terrestrial Water Cycle in an Integrated Land Surface‐Subsurface Model?
- Lagged and cumulative effects of drought on global vegetation greenness, coverage, and productivity
- Rising temperatures, rising transparency: Revealing the financial benefits of climate change disclosure
- River Network Connectivity Reductions Dominate Declines in the Richness of Plateau Fish Species Under Climate Change in the Upper Yangtze River Basin
- How does coupling coordination between industrial structure optimization and ecosystem services dynamically affect carbon emissions in the Yellow River Basin?
- ERF.D2 negatively controls drought tolerance through synergistic regulation of abscisic acid and jasmonic acid in tomato
- The transcription factor Dof32 coordinates salvianolic acid biosynthesis and drought tolerance in Salvia miltiorrhiza
- Assessment of agricultural drought severity using multi-temporal remote sensing data in Lorestan region
- Flood Risk Assessment and Extreme Precipitation
- A Comprehensive Review of Machine Learning Approaches for Flood Depth Estimation
- Real-time flood forecasting using time-varying parameter hydrological model: case study for Ta Trach reservoir
- Numerical modelling of the impact of drainage system clogging on urban flood processes
- A novel framework for flood susceptibility assessment using hybrid analytic hierarchy process-based machine learning methods
- AI Improves the Accuracy, Reliability, and Economic Value of Continental‐Scale Flood Predictions
- Glacier and glacial lake dynamics from 1990 to 2024 and their impact on flood hazard in the central Nepal Himalaya
- Machine Learning and AI for Hydrological Prediction
- Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects
- Advancing water collection efficiency in hybrid solar evaporators: key factors, strategic innovations, and synergistic applications
- The comparative study of machine learning agent models in flood forecasting for tidal river reaches
- Global projections of future landslide susceptibility under climate change
- An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Engineered Biomass‐Based Solar Evaporators for Diversified and Sustainable Water Management
- Assessment of groundwater quality for irrigation using a new customized irrigation water quality index
- Smart Agriculture Using IoT for Automated Irrigation, Water and Energy Efficiency
- Water–energy–food–ecosystem nexus: how to frame and how to govern
- Nutrient and manganese pollution in groundwater of the northeastern Nile Delta: distribution, sources, and health risks
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Assessing climate and land use impacts on surface water yield using remote sensing and machine learning
- Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing
- Old carbon routed from land to the atmosphere by global river systems
- Pathways and challenges of the application of geophysical techniques to multifaceted coalbed methane reservoir characterization
- Per- and polyfluoroalkyl substances in surface water and sediment in Great Lakes tributaries and relations with watershed attributes.
- Transport of Dissolved Black Carbon in Three Estuaries in China: Roles of Flood‐Ebb Tides and Submarine Groundwater Discharge
- High-Throughput Monitoring of 323 Pharmaceuticals and Personal Care Products (PPCPs) and Pesticides in Surface Water for Environmental Risk Assessment.
- No widespread decline in canopy conductance under elevated atmospheric CO2
- Soil moisture inversion method for semi-arid regions using multi-temporal Sentinel-1 and Sentinel-2 data
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 23 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.
Impacts of climate change on global agriculture accounting for adaptation
Authors: A. Hultgren, T. Carleton, M. Delgado, Diana R. Gergel, Michael Greenstone, Trevor Houser et al.
Journal: Nature · DOI: 10.1038/s41586-025-09085-w · Citations: 154
Matched topics: climate change
Climate change threatens global food systems1, but the extent to which adaptation will reduce losses remains unknown and controversial2. Even within the well-studied context of US agriculture, some analyses argue that adaptation will be widespread and climate damages small3,4, whereas others conclude that adaptation will be limited and losses severe5,6. Scenario-based analyses indicate that adaptation should have notable consequences on global agricultural productivity7, 8–9, but there has be…
Biochar-enhanced removal of naphthenic acids from oil sands process water: Influence of feedstock and chemical activation
Authors: Deborah Cristina Crominski da Silva Medeiros, Muhammad Usman, Pamela Chelme‐Ayala, Mohamed Gamal El‐Din
Journal: Energy & Environmental Sustainability · DOI: 10.1016/j.eesus.2025.100028 · Citations: 35
Matched topics: land surface model
Bitumen extraction generates massive volumes of oil-sands-process-water (OSPW), which are stored in tailings ponds in Alberta, Canada, requiring treatment to reduce freshwater use and ensure safe discharge. Naphthenic acids-NAs, which are toxic and persistent organic contaminants, pose major challenges. While biochars show promise for adsorption, their effectiveness for real-OSPW remains largely unexplored, as most studies focus on model compounds. This study investigated the adsorption of NA…
Phenolic compounds, antioxidant enzymes, and oxidative stress in barley (Hordeum vulgare L.) genotypes under field drought-stress conditions
Authors: Behnaz Mohagheghian, G. Saeidi, A. Arzani
Journal: BMC Plant Biology · DOI: 10.1186/s12870-025-06750-0 · Citations: 30
Matched topics: drought
Climate change has exacerbated drought, making water scarcity a significant constraint on crop production. This study aimed to evaluate drought stress responses of 21 barley cultivars and breeding lines, using various traits of leaf oxidative stress [DPPH radical scavenging, malondialdehyde (MDA), and hydrogen peroxide (H2O2)], antioxidants (enzymes and polyphenols), photosynthetic pigments and chlorophyll fluorescence (F) [carotenoid (Car), chlorophyll (Chl), Fm, F0, and Fv/Fm], relative wat…
Transforming hydropower: An in-depth systematic review of climate change impacts
Authors: Ricky Anak Kemarau, Siti Norliyana Harun, Zulfaqar Sa’adi, Marlia M. Hanafiah, Zaini Sakawi, Muhammad Ammar Fakhry Norzin et al.
Journal: Renewable and Sustainable Energy Reviews · DOI: 10.1016/j.rser.2025.115890 · Citations: 12
Matched topics: streamflow, water management, climate change, hydropower
Abstract not available.
Glacier preservation doubled by limiting warming to 1.5°C versus 2.7°C
Authors: Harry Zekollari, Lilian Schuster, Fabien Maussion, Regine Hock, Ben Marzeion, David R. Rounce et al.
Journal: Science · DOI: 10.1126/science.adu4675 · Citations: 26
Matched topics: hydrology
Glaciers adapt slowly to changing climatic conditions, with long-term implications for sea-level rise and water supply. Using eight glacier models, we simulated global glacier evolution over multicentennial timescales, allowing glaciers to equilibrate with climate under various constant global temperature scenarios. We estimate that glaciers globally will lose 39 (range, 15 to 55)% of their mass relative to 2020, corresponding to a global mean sea-level rise of 113 (range, 43 to 204) mm even …
Global Heatwaves Dynamics Under Climate Change Scenarios: Multidimensional Drivers and Cascading Impacts
Authors: Oluwafemi E. Adeyeri, Wen Zhou, Christopher E. Ndehedehe, Kazeem A. Ishola, Patrick Laux, Akintomide A. Akinsanola et al.
Journal: Earth s Future · DOI: 10.1029/2025ef006486 · Citations: 16
Matched topics: hydrology, hydrologic model, climate change
Abstract Heatwaves are intensifying globally due to climate change. However, the contributions of large‐scale atmospheric processes and land‐atmosphere interactions to heatwave dynamics and their cascading impacts on water resources and human exposure are not fully understood. This study investigates heatwave frequency (HWF) across 50 global regions, spanning historical (1979–2014) and future periods (2025–2060 and 2065–2100) under SSP 370 (regional rivalry) and SSP 585 (fossil‐fuel developme…
Coupled effects of the anisotropic permeability and adsorption-induced deformation on the hydrogen and carbon reservoir extraction dynamics
Authors: Linchao Wang, Wan Zhang, Zhengzheng Cao, Yi Xue, Fei Xiong
Journal: The Physics of Fluids · DOI: 10.1063/5.0270765 · Citations: 22
Matched topics: reservoir
Hydrogen and carbon energy reservoirs, critical resources for clean energy development, require precise characterization of their mechanical and fluid flow properties. This study investigates the coupled effects of anisotropic permeability and adsorption-induced deformation on gas extraction efficiency in such reservoirs. A comprehensive numerical model is developed to integrate matrix deformation, crack anisotropy, and adsorption-driven anisotropic swelling within coal reservoirs. The model …
Agricultural Benefits of Shelterbelts and Windbreaks: A Bibliometric Analysis
Authors: C. M. Enescu, M. Mihalache, Leonard Ilie, Lucian Dincă, Cristinel Constandache, Gabriel Murariu
Journal: Agriculture · DOI: 10.3390/agriculture15111204 · Citations: 24
Matched topics: water management
Forest shelterbelts and windbreaks play a vital role in protecting ecosystems, mitigating climate change effects, and enhancing agricultural productivity. These vegetative barriers serve as effective tools for soil conservation, reducing wind and water erosion while improving soil fertility. Additionally, they contribute to biodiversity preservation by providing habitat corridors for various plant and animal species. Their role in microclimate regulation, such as temperature moderation and in…
Environmental drivers of antibiotic resistance: Synergistic effects of climate change, co-pollutants, and microplastics
Authors: Maryam Zarean, Sejal H. Dave, Satinder Kaur Brar, Raymond W. M. Kwong
Journal: Journal of Hazardous Materials Advances · DOI: 10.1016/j.hazadv.2025.100768 · Citations: 22
Matched topics: climate change
• Antibiotic resistance can be exacerbated by environmental factors and co-pollutants. • The interplay of co-pollutants is intensified by climate change • Aging microplastics enhance their pollutant adsorption and modulate ARG dynamics . Antimicrobial resistance (AMR) is an urgent global health concern, increasingly driven by environmental factors such as climate change, chemical co-pollutants, and microplastics (MPs). MPs, synthetic particles smaller than 5 mm, facilitate the spread of antib…
E3SM‐GCAM: A Synchronously Coupled Human Component in the E3SM Earth System Model Enables Novel Human‐Earth Feedback Research
Authors: Alan Di Vittorio, Eva Sinha, Dalei Hao, Balwinder Singh, Katherine Calvin, Tim Shippert et al.
Journal: Journal of Advances in Modeling Earth Systems · DOI: 10.1029/2024ms004806 · Citations: 9
Matched topics: water management, land surface model, earth system model
Abstract Modeling human‐environment feedbacks is critical for assessing the effectiveness of climate change mitigation and adaptation strategies under a changing climate. The Energy Exascale Earth System Model (E3SM) now includes a human component, with the Global Change Analysis Model (GCAM) at its core, that is synchronously coupled with the land and atmosphere components through the E3SM coupling software. Terrestrial productivity is passed from E3SM to GCAM to make climate‐responsive land…
Declining Freshwater Availability in the Colorado River Basin Threatens Sustainability of Its Critical Groundwater Supplies
Authors: Karem Abdelmohsen, J. S. Famiglietti, Yufei Ao, Behshad Mohajer, Hrishikesh A. Chandanpurkar
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl115593 · Citations: 15
Matched topics: river, land surface model
Abstract The Colorado River Basin (CRB) is experiencing persistent aridification due to a complex interplay of natural and anthropogenic activities, resulting in significant groundwater depletion across the region. We used over two decades of NASA GRACE and GRACE Follow‐On (GRACE‐FO) observations (April 2002–October 2024), land surface models and observed data, to document pronounced groundwater depletion in the CRB. We estimate that the CRB lost 52.2 ± 4.0 km 3 of terrestrial water storage o…
Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems
Authors: Zihan Liu, Chenxu Zhao, Nanhai Zhang, Jing Wang, Zhaoyang Li, Yves Uwiragiye et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-60036-5 · Citations: 19
Matched topics: earth system model
(one standard error) compared with PM. Our findings highlight that DM is a promising alternative to PM for sequestrating SOC and alleviating C loss under climate change in dryland agroecosystems.
An agricultural drought early warning threshold model with considering copula combined with diminishing marginal benefit theory: A case study in the Yellow River basin
Authors: Tanrui Qian, Xiaoling Su, Haijiang Wu, Vijay P. Singh, Te Zhang
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2025.109582 · Citations: 14
Matched topics: river, drought
Agricultural drought-induced yield reductions threaten socioeconomic stability and food security. Reliable early warning systems are essential for mitigating these threats. However, agricultural drought early warning based on meteorological conditions remains poorly explored, and prevalent conditional probabilities for determining drought propagation thresholds are largely subjective. In this study, an agricultural drought early warning threshold (ADEWarT) model was developed, combining Copul…
Global Mapping of Concurrent Hazards and Impacts Associated With Climate Extremes Under Climate Change
Authors: Gabriele Messori, Derrick Muheki, Fulden Batıbeniz, Emanuele Bevacqua, Laura Suárez‐Gutiérrez, Wim Thiery
Journal: Earth s Future · DOI: 10.1029/2025ef006325 · Citations: 9
Matched topics: hydrology, climate change, earth system model
Abstract Climate‐related extreme events impose a heavy toll on humankind, and many will likely become more frequent in the future. The compound (joint) occurrence of different climate‐related hazards and impacts can further exacerbate the detrimental consequences for society. By analyzing postprocessed data from the Inter‐Sectoral Impact Model Intercomparison Project, we provide a global mapping of future changes in the compound occurrence of six categories of hazards or impacts related to cl…
Spatiotemporal Patterns of Drought Migration Across the Contiguous United States
Authors: Amitesh Sabut, Ashok K. Mishra, Dara Entekhabi
Journal: Water Resources Research · DOI: 10.1029/2024wr039855 · Citations: 8
Matched topics: hydrology, streamflow, drought
Abstract Drought phenomena exhibit three‐dimensional spatiotemporal propagation patterns, often impacting vast regions and lasting for extended periods. Quantifying these spatial and temporal dynamics is essential for understanding their progression and underlying causes. However, there is a lack of studies investigating the spatiotemporal progression and migration of major drought events. In this study, we employed the Spatio‐temporal Density‐Based Spatial Clustering of Applications with Noi…
How Does Assimilating SMAP Soil Moisture Improve Characterization of the Terrestrial Water Cycle in an Integrated Land Surface‐Subsurface Model?
Authors: Haojin Zhao, Carsten Montzka, Johannes Keller, Fang Li, Harry Vereecken, Harrie‐Jan Hendricks Franssen
Journal: Water Resources Research · DOI: 10.1029/2024wr038647 · Citations: 5
Matched topics: hydrology, land surface model, surface water
Abstract Land surface modeling combined with data assimilation can yield highly accurate soil moisture estimates on regional and global scales. However, most land surface models often neglect lateral surface and subsurface flows, which are crucial for water redistribution and soil moisture. This study applies the Community Land Model (CLM) and the coupled CLM‐ParFlow model over a 22,500 area in western Germany. Soil moisture retrievals from the Soil Moisture Active Passive mission are assimil…
Lagged and cumulative effects of drought on global vegetation greenness, coverage, and productivity
Authors: Lei Zhang, Xia Jia, Yonghua Zhao, Lishan Shan, Yang Zhang, Zenghui Sun et al.
Journal: Environmental Impact Assessment Review · DOI: 10.1016/j.eiar.2025.108019 · Citations: 17
Matched topics: drought
Abstract not available.
Rising temperatures, rising transparency: Revealing the financial benefits of climate change disclosure
Authors: Antonio Salvi, Vitiana L’Abate, Felice Petruzzella, Filippo Vitolla, Nicola Raimo
Journal: International Review of Economics & Finance · DOI: 10.1016/j.iref.2025.104208 · Citations: 17
Matched topics: climate change
In the past two decades, climate change and global warming have emerged as the most pressing environmental issues on a global scale. One of the main challenges in creating a sustainable economy is the effective management of the risks posed by climate change. The relevance of these topics has heightened the importance of climate change disclosure (CCD), which has increasingly attracted the interest of academics. However, the financial effects of CCD remain an area that is still underexplored….
River Network Connectivity Reductions Dominate Declines in the Richness of Plateau Fish Species Under Climate Change in the Upper Yangtze River Basin
Authors: Xiongfeng Bai, Peng Zhang, Lihua Xiong, Zhi Min Yang, Siyang Wang, Xianghong Dong et al.
Journal: Water Resources Research · DOI: 10.1029/2024wr037557 · Citations: 7
Matched topics: river, climate change, hydropower
Abstract Anthropogenic climate change and disrupted river network connectivity are major factors affecting freshwater fish richness. However, the distribution patterns of this parameter under the combined influence of climate change and reduced river connectivity resulting from hydroelectric development remain unclear. Here, we projected shifts in the richness of Schizothoracinae fish species, the most dominant and economically significant type of fish on and around the Qinghai‐Tibet Plateau….
How does coupling coordination between industrial structure optimization and ecosystem services dynamically affect carbon emissions in the Yellow River Basin?
Authors: Ruixiang Xue, Runde Gu, Tze San Ong
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2025.145872 · Citations: 16
Matched topics: river
Abstract not available.
ERF.D2 negatively controls drought tolerance through synergistic regulation of abscisic acid and jasmonic acid in tomato
Authors: Changan Zhu, Xinyan Li, Min Zhang, Shuwen Wang, Beiyu Jing, Chaoyi Hu et al.
Journal: Plant Biotechnology Journal · DOI: 10.1111/pbi.70157 · Citations: 16
Matched topics: drought
Plants inevitably encounter a diverse array of constantly changing environmental stresses, and drought stands out as one of the most severe threats to plants. Abscisic acid (ABA) and jasmonic acid (JA) work synergistically to increase plant drought tolerance, but their interplay during drought response remains elusive. Here, we uncovered that ABA induced the degradation of a negative transcription regulator, ethylene responsive factor (ERF.D2), in tomato drought tolerance. We identified that …
The transcription factor Dof32 coordinates salvianolic acid biosynthesis and drought tolerance in Salvia miltiorrhiza
Authors: Bingbing Lv, Qiaoqiao Feng, Gaige Shao, Anqi Zuo, Xuejiao Yan, Jingying Liu et al.
Journal: PLANT PHYSIOLOGY · DOI: 10.1093/plphys/kiaf221 · Citations: 16
Matched topics: drought
Drought severely impacts plant growth, yet moderate drought stress can stimulate the biosynthesis of active compounds in medicinal plants. However, the molecular regulators and mechanisms linking drought resistance with the accumulation of active compounds remain poorly understood. In this study, we identified the Dof transcription factor SmDof32 as a key regulator of both salvianolic acid biosynthesis and the drought response in Danshen (Salvia miltiorrhiza). Overexpression of SmDof32 enhanc…
Assessment of agricultural drought severity using multi-temporal remote sensing data in Lorestan region
Authors: Morteza Ghobadi, Ziaedin Badehian
Journal: Scientific Reports · DOI: 10.1038/s41598-025-03087-4 · Citations: 11
Matched topics: water management, drought
Agricultural drought is a complex phenomenon with major impacts on ecosystems, biodiversity, and ecosystem services. This study examines drought severity in Lorestan, Iran, using spatial analysis of vegetation indices, including the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Landsat images from 2004, 2014, and 2024 were processed using TerrSet software to assess drought trends. The resu…
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.
A Comprehensive Review of Machine Learning Approaches for Flood Depth Estimation
Authors: Bo Liu, Yingbing Li, Minyuan Ma, Bojun Mao
Journal: International Journal of Disaster Risk Science · DOI: 10.1007/s13753-025-00639-0 · Citations: 26
Matched topics: flood
Abstract not available.
Real-time flood forecasting using time-varying parameter hydrological model: case study for Ta Trach reservoir
Authors: Tran Kim Chau, Nguyen Dong Dang, David Nguyen, Bac Thi Ngoc Nguyen, Binh Van Le, Hoang Cong Vo et al.
Journal: Applied Water Science · DOI: 10.1007/s13201-025-02503-4 · Citations: 5
Matched topics: hydrologic model, streamflow, reservoir, flood
Flood forecasting for reservoir operation is a complex and challenging subject. It is, however, fundamental for minimizing damage and maximizing economic efficiency in reservoir management. Currently, real-time flood forecasting represents an essential trend on a global scale. This study introduces a real-time flood forecasting approach using a time-varying parameter hydrological model, applied to forecast inflows to Ta Trach reservoir in the historical flood season in 2020. The model dynamic…
Numerical modelling of the impact of drainage system clogging on urban flood processes
Authors: Xiaojie Wang, Junqiang Xia, Jiheng Feng, Boliang Dong
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.125969 · Citations: 9
Matched topics: runoff, water management, flood
Abstract not available.
A novel framework for flood susceptibility assessment using hybrid analytic hierarchy process-based machine learning methods
Authors: Chiranjit Singha, N. Chakraborty, Satiprasad Sahoo, Quoc Bao Pham, Yunqing Xuan
Journal: Natural Hazards · DOI: 10.1007/s11069-025-07335-8 · Citations: 15
Matched topics: flood
This study evaluates the effectiveness of the analytic hierarchy process (AHP) based on six machine learning models in predicting flood susceptibility in the Dwarakeswar river basin in Eastern India. Fifteen flood conditioning factors were employed as input predictors. The dataset underwent a series of pre-processing procedures, including conducting a statistical Pearson correlation, ordinary least squares (OLS), and multi-collinearity analysis, to identify the best flood-contributing factors…
AI Improves the Accuracy, Reliability, and Economic Value of Continental‐Scale Flood Predictions
Authors: Vinh Ngoc Tran, Taeho Kim, Donghui Xu, Hoang Tran, Manh‐Hung Le, Thanh‐Nhan‐Duc Tran et al.
Journal: AGU Advances · DOI: 10.1029/2025av001678 · Citations: 8
Matched topics: hydrology, streamflow, flood
Abstract Accurate flood early warnings are critical to minimize damage and loss of life. Current large‐scale operational forecasting systems, however, have limited accuracy, description of uncertainty, and computational efficiency. While Artificial intelligence (AI) can address these limitations in principle, the accuracy and reliability of AI forecasts have thus far proven insufficient. Here we present a novel hybrid framework that integrates AI‐based machinery termed Errorcastnet (ECN) with…
Glacier and glacial lake dynamics from 1990 to 2024 and their impact on flood hazard in the central Nepal Himalaya
Authors: Abhishek Banerjee, Michael E. Meadows, Nilesh Yadav, Mustafo Safarov, Ajay Godara, Kelly L. Kirsten et al.
Journal: Journal of Mountain Science · DOI: 10.1007/s11629-024-9298-0 · Citations: 8
Matched topics: hydrologic model, flood, land surface model
Abstract not available.
Machine Learning and AI for Hydrological Prediction
This week’s 5 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.
Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects
Authors: Val Hyginus Udoka Eze, Esther Chidinma Eze, George Uwadiegwu Alaneme, Pius Erheyovwe Bubu, Ezekiel Oluwaseun Ejiofor Nnadi, Michael Ben Okon
Journal: Discover Agriculture · DOI: 10.1007/s44279-025-00247-y · Citations: 59
Matched topics: water management
The integration of Internet of Things (IoT) sensors and Machine Learning (ML) technologies has transformed precision agriculture by enabling data-driven, adaptive, and efficient farming practices. IoT sensors provide continuous, high-resolution monitoring of critical agricultural parameters, including soil health, crop growth, and environmental conditions. Coupled with advanced ML algorithms, this data facilitates predictive analytics and real-time decision-making, optimizing resource utiliza…
Advancing water collection efficiency in hybrid solar evaporators: key factors, strategic innovations, and synergistic applications
Authors: Muhammad Sultan Irshad, Naila Arshad, Ghazala Maqsood, Iftikhar Ahmed, Bushra Shakoor, Muhammad Sohail Asghar et al.
Journal: Materials Science and Engineering R Reports · DOI: 10.1016/j.mser.2025.101018 · Citations: 43
Matched topics: water management
Solar-driven interfacial evaporation (SDIE) technique is a sustainable approach that utilizes solar energy to produce steam, thus addressing freshwater scarcity. Despite several earlier research investigations, claims beyond the theoretical limit were raised due to limitations in solar-to-vapor and condensate efficiency, which remain under debate. Even under superlative conditions, low condensate and energy losses persist, indicating that the system’s efficiency will never reach > 100 %. This…
The comparative study of machine learning agent models in flood forecasting for tidal river reaches
Authors: Ju Zhou, Liming Chen, Tengfei Hu, Hao Lü, Yong Shi, Liangang Chen
Journal: Scientific Reports · DOI: 10.1038/s41598-025-04633-w · Citations: 7
Matched topics: hydrology, hydrologic model, river, runoff, streamflow, flood, hydropower
The tidal reach of the Tanjiang River Basin, influenced by both runoff and tidal forces, exhibits complex and variable water levels and river flow conditions. Traditional hydrodynamic models struggle to meet the timeliness requirements for flood forecasting and early warning. Moreover, existing machine learning studies have limitations in integrating hydrological principles and explaining model applicability. This study focuses on this region, constructing a one-dimensional hydrodynamic model…
Global projections of future landslide susceptibility under climate change
Authors: Yu Duan, Mingtao Ding, Yufeng He, Hao Zheng, Ricardo Delgado-Téllez, Sergey Sokratov et al.
Journal: Geoscience Frontiers · DOI: 10.1016/j.gsf.2025.102074 · Citations: 26
Matched topics: climate change
• The framework for future landslide susceptibility based on CMIP6 was presented. • Precision of rainfall data for 14 GCMs were validated for the baseline period. • Multiple ML models were used for landslide susceptibility prediction under SPPs. • Spatiotemporal and potential influences in landslide susceptibility were revealed. Landslides pose a significant threat to both human society and environmental sustainability, yet, their spatiotemporal evolution and impacts on global scales in the c…
An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction
Authors: Zhen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu et al.
Journal: Water Resources Research · DOI: 10.1029/2025wr040191 · Citations: 10
Matched topics: hydrology, hydrologic model, streamflow
Abstract Reliable groundwater level (GWL) prediction is essential for sustainable water resources management. Despite recent advances in machine learning (ML) methods for GWL prediction, further improvements may be made in uncertainty quantification and model interpretability. This study proposes Bayesian TimesNet (BTimesNet), a novel deep learning model for probabilistic and explainable GWL prediction. BTimesNet transforms 1D time series data into 2D matrices based on periodicity, enhancing …
Hydropower and Renewable Energy-Water Systems
The integration of hydropower with renewable energy systems is addressed by 2 papers this week, focusing on optimal capacity configuration, generation prediction, and climate change adaptation strategies for hybrid energy-water systems. Studies demonstrate the complementary potential of hydro-wind-solar systems and explore machine learning approaches for hydropower generation forecasting.
Pumped storage hydropower operation for supporting clean energy systems
Authors: Weijia Yang, Zhigao Zhao, Juan I. Pérez‐Díaz, Julian David Hunt, Elena Vagnoni, Jonas Kristiansen Nøland et al.
Journal: Nature Reviews Clean Technology · DOI: 10.1038/s44359-025-00057-x · Citations: 38
Matched topics: water management, hydropower
Abstract not available.
Evaluating the predictive potential of modeling frameworks for Pelton turbine energy performance and guiding engineering modeling in hydroelectric applications
Authors: Haoru Zhao, Baoshan Zhu, Ronglong Xu, Lei Tan, Haiku Zhang, Chen Lei et al.
Journal: Energy · DOI: 10.1016/j.energy.2025.136861 · Citations: 21
Matched topics: hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 5 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.
Engineered Biomass‐Based Solar Evaporators for Diversified and Sustainable Water Management
Authors: Wei Li, Ying Xu, Kun Liu, Liyu Zhu, Ting Xu, Guanhua Wang et al.
Journal: Advances in Materials · DOI: 10.1002/adma.202503658 · Citations: 60
Matched topics: water management
Solar‐driven interfacial water evaporation is a green and energy‐efficient water treatment technology with diverse applications in desalination, steam power generation, and agricultural irrigation. Biomass materials have gained significant attention in solar evaporator engineering due to their unique structure, low cost, and ease of adjustment. With enhanced light absorption and high thermal conductivity, biomass materials can improve evaporation efficiency substantially, thus providing oppor…
Assessment of groundwater quality for irrigation using a new customized irrigation water quality index
Authors: Oualid Boukich, Rihab Ben-tahar, Mohamed Brahmi, Mashail N AlZain, O. Noman, A. Shahat et al.
Journal: Journal of Hydrology: Regional Studies · DOI: 10.1016/j.ejrh.2025.102346 · Citations: 28
Matched topics: irrigation
Abstract not available.
Smart Agriculture Using IoT for Automated Irrigation, Water and Energy Efficiency
Authors: Subir Gupta, Subrata Chowdhury, R. Govindaraj, K. Amesho, Sumarlin Shangdiar, Timoteus Kadhila et al.
Journal: Smart Agricultural Technology · DOI: 10.1016/j.atech.2025.101081 · Citations: 26
Matched topics: irrigation
Abstract not available.
Water–energy–food–ecosystem nexus: how to frame and how to govern
Authors: Caro Eline Mooren, Stefania Munaretto, Isabelle La Jeunesse, Eva Sievers, D.L.T. Hegger, Petrus Paulus Joseph Driessen et al.
Journal: Sustainability Science · DOI: 10.1007/s11625-025-01691-x · Citations: 15
Matched topics: water management, hydropower
Abstract The food, energy, and water domains are strongly interrelated. The body of literature investigating these interlinkages developed into water–energy–food and, more recently, ecosystem (WEFE) nexus thinking. The WEFE nexus is concerned with cross-sectoral resource management requiring dedicated WEFE governance approaches. Among the existing WEFE nexus conceptualizations, the one that places the ecosystem at the center emphasizes the importance of ecosystem services for human well-being…
Nutrient and manganese pollution in groundwater of the northeastern Nile Delta: distribution, sources, and health risks
Authors: Mohammed Hagage, Abdel Galil A. Hewaidy, Abdulaziz M. Abdulaziz, Said A. Shetaia
Journal: Applied Water Science · DOI: 10.1007/s13201-025-02509-y · Citations: 13
Matched topics: water management, land surface model
Abstract Groundwater pollution poses significant health and environmental risks, particularly in regions heavily reliant on this resource. This study assessed nutrient and manganese pollution in groundwater of the northeastern Nile Delta, identifying pollution sources and evaluating associated health risks. An integrated methodology was employed, incorporating water pollution indices, health risk modeling, satellite imagery analysis, and statistical analysis. Thirty-one groundwater samples we…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 9 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.
Assessing climate and land use impacts on surface water yield using remote sensing and machine learning
Authors: Amanuel Kumsa Bojer, Muluneh Woldetsadik Abshare, Fitsum Mesfin, Ayad M. Fadhil Al‐Quraishi
Journal: Scientific Reports · DOI: 10.1038/s41598-025-03493-8 · Citations: 19
Matched topics: runoff, hydropower, surface water
(10.38%). The surface runoff decreased to 15.78% in 2021 and 15.28% in 2022, whereas the water yield dropped from 1.22% in 1993 to 0.83% by 2023. This study also showed a reduction in lateral flow and higher evapotranspiration levels in 2000 and 2017. The decrease in runoff can be attributed to the loss of wetlands and grasslands, reduced precipitation, and regulatory effects of hydropower operations. In contrast, elevated evapotranspiration levels were primarily attributed to temperature ext…
Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing
Authors: Yuan Yang, Dapeng Feng, Hylke E. Beck, Weiming Hu, Ather Abbas, Agniv Sengupta et al.
Journal: Water Resources Research · DOI: 10.1029/2024wr039764 · Citations: 18
Matched topics: hydrologic model, river, runoff
Abstract To expand the spatial coverage of the conventional Basin Long Short‐Term Memory (LSTM) model for river discharge estimation beyond pre‐selected individual locations, we developed a discharge modeling scheme, Grid LSTM‐RAPID, to estimate discharge for every river reach worldwide. Grid LSTM‐RAPID applies LSTM runoff estimation to the grids (0.25°), small rectangular hydrological response units (HRUs) rather than basins (irregularly shaped HRUs of any size), and then routes the grid run…
Old carbon routed from land to the atmosphere by global river systems
Authors: J. Dean, G. Coxon, Yanchen Zheng, Jack Bishop, M. Garnett, D. Bastviken et al.
Journal: Nature · DOI: 10.1038/s41586-025-09023-w · Citations: 26
Matched topics: river
Rivers and streams are an important pathway in the global carbon cycle, releasing carbon dioxide (CO2) and methane (CH4) from their water surfaces to the atmosphere1,2. Until now, CO2 and CH4 emitted from rivers were thought to be predominantly derived from recent (sub-decadal) biomass production and, thus, part of ecosystem respiration3, 4, 5–6. Here we combine new and published measurements to create a global database of the radiocarbon content of river dissolved inorganic carbon (DIC), CO2…
Pathways and challenges of the application of geophysical techniques to multifaceted coalbed methane reservoir characterization
Authors: Zheng Zhao, Dameng Liu, Yidong Cai, Fengrui Sun, Yingfang Zhou
Journal: Gondwana Research · DOI: 10.1016/j.gr.2025.05.017 · Citations: 23
Matched topics: reservoir
Abstract not available.
Per- and polyfluoroalkyl substances in surface water and sediment in Great Lakes tributaries and relations with watershed attributes.
Authors: Luke C Loken, S. Corsi, David A Alvarez, M. A. Pronschinske, P. L. Lenaker, M. Nott et al.
Journal: Environmental Toxicology and Chemistry · DOI: 10.1093/etojnl/vgaf077 · Citations: 20
Matched topics: surface water
Per- and polyfluoroalkyl substances (PFAS) are chemicals of emerging concern that potentially pose risks to human and environmental health. In May-Oct 2018, sediment and passively collected surface water samples were collected from 62 tributary sites of the Laurentian Great Lakes with site catchments spanning various land cover types. Discrete samples of sediment collected manually and time-integrated surface water samples collected with polar organic chemical integrative samplers (POCIS) wer…
Transport of Dissolved Black Carbon in Three Estuaries in China: Roles of Flood‐Ebb Tides and Submarine Groundwater Discharge
Authors: Weiqiang Zhao, Hongyan Bao, Lejin Peng, Moge Du, Keyuan Li, Xiaoqian Zhan et al.
Journal: Global Biogeochemical Cycles · DOI: 10.1029/2025gb008532 · Citations: 9
Matched topics: hydrologic model, runoff, flood
Abstract Estuaries are essential for the ocean’s mass balance of terrestrial dissolved organic matter (DOM). Dissolved black carbon (DBC) constitutes the largest known persistent fraction of DOM in marine environments. However, the alterations of DBC during its transport through estuaries remain largely unknown. In this study, we conducted six sampling cruises across three estuaries in China, which varied in size, tidal patterns, and hydrological conditions. We measured DBC concentrations in …
High-Throughput Monitoring of 323 Pharmaceuticals and Personal Care Products (PPCPs) and Pesticides in Surface Water for Environmental Risk Assessment.
Authors: Jingjing Du, Jian Xu, Yuanyuan Luo, Xiaowei Li, Liang Zhao, Saiwa Liu et al.
Journal: Environmental Science and Technology · DOI: 10.1021/acs.est.5c05363 · Citations: 14
Matched topics: surface water
The ubiquity of pharmaceuticals and personal care products (PPCPs) and pesticides in aquatic environments has raised significant ecological concerns due to their potential to disrupt aquatic ecosystems. This study presents a high-throughput ultraperformance liquid chromatography-tandem mass spectrometry method without sample enrichment to monitor 323 PPCPs and pesticides in the surface water of the Jingmi Water Diversion Canal in Beijing, China. One hundred and three PPCPs and pesticides were…
No widespread decline in canopy conductance under elevated atmospheric CO2
Authors: Guoqiang Wang, Baolin Xue, Jürgen Knauer, David Helman, Shengli Tao, Yiqi Luo et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2025.110649 · Citations: 7
Matched topics: hydrologic model, land surface model, earth system model
Abstract not available.
Soil moisture inversion method for semi-arid regions using multi-temporal Sentinel-1 and Sentinel-2 data
Authors: Tianyu Jia, Asaad Y. Shamseldin, Tingxi Liu, Yongzhi Bao, Zhiting Wang, Limin Duan et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133603 · Citations: 11
Matched topics: hydrologic model, land surface model
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 1019 |
| After deduplication | 793 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 743 |
Papers by journal
| Journal | Papers |
|---|---|
| Water Resources Research | 5 |
| Scientific Reports | 3 |
| Nature | 2 |
| Earth s Future | 2 |
| Applied Water Science | 2 |
| Advances in Materials | 1 |
| Discover Agriculture | 1 |
| Nature Reviews Clean Technology | 1 |
| Materials Science and Engineering R Reports | 1 |
| Energy & Environmental Sustainability | 1 |
| BMC Plant Biology | 1 |
| Journal of Hydrology: Regional Studies | 1 |
| Renewable and Sustainable Energy Reviews | 1 |
| Science | 1 |
| International Journal of Disaster Risk Science | 1 |
| Geoscience Frontiers | 1 |
| Smart Agricultural Technology | 1 |
| The Physics of Fluids | 1 |
| Agriculture | 1 |
| Gondwana Research | 1 |
| Environmental Toxicology and Chemistry | 1 |
| Journal of Hazardous Materials Advances | 1 |
| Journal of Advances in Modeling Earth Systems | 1 |
| Energy | 1 |
| Geophysical Research Letters | 1 |
| Sustainability Science | 1 |
| Nature Communications | 1 |
| Agricultural Water Management | 1 |
| Global Biogeochemical Cycles | 1 |
| Journal of Environmental Management | 1 |
| Natural Hazards | 1 |
| AGU Advances | 1 |
| Journal of Mountain Science | 1 |
| Environmental Impact Assessment Review | 1 |
| International Review of Economics & Finance | 1 |
| Environmental Science and Technology | 1 |
| Agricultural and Forest Meteorology | 1 |
| Journal of Cleaner Production | 1 |
| Plant Biotechnology Journal | 1 |
| PLANT PHYSIOLOGY | 1 |
| Journal of Hydrology | 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