Weekly Literature Review

Week 30 · July 21–July 27, 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 Health Effects of Climate Change, with 212 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. Health Effects of Climate Change
    2. Climate change, crop yield, and food security in Sub-Saharan Africa
    3. Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin
    4. Global food security in a turbulent world: reviewing the impacts of the pandemic, the war and climate change
    5. Sustainable wastewater treatment: Mechanistic, environmental, and economic insights into biochar for synthetic dye removal
    6. The Strong Impact of Precipitation Intensity on Groundwater Recharge and Terrestrial Water Storage Change in Arizona, a Typical Dryland
    7. Episodic flooding causes sudden deoxygenation shocks in human-dominated rivers
    8. Differential Decline in Terrestrial Water Storage Across Major Permafrost‐Dominated Arctic River Basins During the Rapid Warming Period From 1981 to 2020
    9. The attribution of human health outcomes to climate change: transdisciplinary practical guidance
    10. Heterogeneous impacts of human activities and climate change on transformed vegetation dynamics on the Qinghai-Tibet Plateau
    11. Application of a Semi‐Lagrangian Advection Scheme for Transport of Stable Water Isotopes Over the Antarctic Plateau in the Isotope‐Incorporated Global Spectral Model (IsoGSM)
    12. A novel framework for future drought characterization under ranked-based subset selection and weighted aggregative multi-modal ensemble of global climate models
  3. Flood Risk Assessment and Extreme Precipitation
    1. Hydrologic performance assessment of low impact development facilities based on monitoring data and SWMM modeling in an urban catchment in Taiwan
    2. A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin
    3. Historical changes in overtopping probability of dams in the United States
    4. Bayesian network modeling of flood cascade and climate risks in the Pearl River Delta
    5. Seasonal diversity of global flood changes and their drivers
    6. Wetland sulfur isotope signals and dynamic isotope baselines: implications for archaeological research
    7. Plant height mediates hydrological impacts on soil nutrients in seasonal floodplain wetlands
    8. Improving disaster resilience with causal machine learning for flood damage estimation
  4. Machine Learning and AI for Hydrological Prediction
    1. Artificial intelligence in sustainable development research
    2. Novel Deep Learning Transformer Model for Short to Sub‐Seasonal Streamflow Forecast
    3. Enhancing Multi-Step Reservoir Inflow Forecasting: A Time-Variant Encoder–Decoder Approach
    4. Toward routing river water in land surface models with recurrent neural networks
    5. Optical next generation reservoir computing
    6. An explainable ensemble deep learning model for long-term streamflow forecasting under multiple uncertainties
    7. Evaluation of supervised machine learning techniques for cavitation detection and diagnosis in a pump-as-turbine system
    8. Electrical and seismic refraction methods: Fundamental concepts, current trends, and emerging machine learning prospects
    9. Machine learning-based streamflow projections in the upper indus basin under CMIP6 climate scenarios
  5. Water Management, Irrigation, and Groundwater
    1. Representation of a two-way coupled irrigation system in the Common Land Model
    2. Impacts and sources of potential toxic elements on water quality and optimizing machine learning models for sustainable management
    3. Sustainable rice production under water scarcity conditions using drip irrigation: Based on evidence among Iranian farmers
    4. Hydrochemical assessment of groundwater for drinking and irrigation suitability in Vaniyambadi region, Tamil Nadu, Southern India: A sustainable approach
    5. Reimagining Rural and Small-Town Water Supply in Ghana through Inclusive Governance and Sustainable Models
    6. River Area Segmentation Using Sentinel-1 SAR Imagery with Deep-Learning Approach
    7. Self-Cleaning Electrospun Intercalated MXene/PAN Evaporator Enables Highly Efficient Photothermal Interfacial Evaporation-Assisted Radioactive Wastewater Treatment
  6. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Atomically precise Ni nanoclusters supported on CNT confined in hydrogel for efficient solar water evaporation: Understanding synergistic effect of Ni Nanoclusters and CNT on photothermal conversion
    2. Satellite Requirements to Capture Water Propagation in Earth’s Rivers
    3. Membrane technology for microplastic removal: Microplastic occurrence, challenges, and innovations of process and materials
    4. Snow droughts amplify compound climate extremes over the Tibetan Plateau
    5. Comparative rainfall-runoff hydrological modeling over central Ethiopia using ground observation and global satellite precipitation products: remote sensing support for water resource management
    6. Impacts of agricultural management practices on water cycle, soil erosion and crop yields in a Mediterranean agroecosystem
    7. Asynchronous changes and driving mechanisms of water-sediment transport in the Jinsha River Basin: Response to climate change and human activities
    8. Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories
    9. Hydrological shifts from vegetation restoration in semi-arid regions: insights from the typical watersheds of the Yellow River
    10. Construction and application of copula-based trivariate standardized river disconnection index for seasonal rivers in arid and semi-arid areas
    11. Pore-scale simulation of multi-fluid flow transport dynamics for hydrogen geological storage in depleted gas reservoirs
    12. Moisture-driven microbial regime shifts mediate nutrient dynamics in reservoir riparian zones
    13. Influence of nutrients on aquatic vegetation and trophic status of lakes: analysis of eutrophication and mitigation
    14. Trivariate frequency analysis using copulas emphasizing the importance of the duration of hydrographs for hydraulic works
  7. Statistics
    1. Papers by journal
  8. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 12 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.

Health Effects of Climate Change

Authors: Bruce R. Krawisz

Journal: Frontiers for Young Minds · DOI: 10.3389/frym.2025.1454063 · Citations: 212

Matched topics: climate change

Climate change affects Earth’s ecosystems and human societies. Climate change results in hotter temperatures and more heatwaves, droughts and water shortages, floods and water-borne infections, sea level rise and population displacement, reduced agricultural and seafood harvests, spreading of organisms that carry disease, and increased numbers of wildfires creating additional air pollution. More people will probably be affected by hunger, lack of clean water, heatstroke, heat-related kidney d…


Climate change, crop yield, and food security in Sub-Saharan Africa

Authors: Daniel Omeodisemi Omokpariola, Cecilia Agbanu-Kumordzi, Tamirat Samuel, Lydhia Kiswii, G Moses, Abigail M. Adelegan

Journal: Discover Sustainability · DOI: 10.1007/s43621-025-01580-4 · Citations: 35

Matched topics: water management, land surface model, climate change

Climate change poses a significant threat to agriculture and food security in Sub-Saharan Africa (SSA), a region already vulnerable due to socio-economic challenges and dependence on rain-fed agriculture. Rising temperatures alter precipitation patterns, droughts, and floods impact agricultural productivity, exacerbating food insecurity over time. This study examines how temperature, precipitation, droughts, and floods impact crop yields through regional variations in SSA climates, climate-re…


Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin

Authors: Prashant Parasar, Akhouri Pramod Krishna

Journal: Scientific Reports · DOI: 10.1038/s41598-025-13221-x · Citations: 15

Matched topics: hydrology, hydrologic model, river, streamflow

values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model int…


Global food security in a turbulent world: reviewing the impacts of the pandemic, the war and climate change

Authors: Donatella Saccone, Elena Vallino

Journal: Agricultural and Food Economics · DOI: 10.1186/s40100-025-00388-0 · Citations: 26

Matched topics: climate change

Abstract Food security has recently passed through profound systemic disruptions because of the simultaneous occurrence of the global pandemic, the Russia-Ukraine war and climate change. While climate-related shocks are expected to increase in the near future, high uncertainty persists on future pandemic events and armed conflicts. This persistency creates the need for a deep understanding of the concurrent and multiple effects of the three crises on global food security. In this regard, the …


Sustainable wastewater treatment: Mechanistic, environmental, and economic insights into biochar for synthetic dye removal

Authors: Jabulani I. Mnyango, Bothwell Nyoni, C Phiri, B.G. Fouda-Mbanga, Sefiu Olaitan Amusat, A. Maringa et al.

Journal: Next Materials · DOI: 10.1016/j.nxmate.2025.100974 · Citations: 20

Matched topics: water management, surface water

The contamination of aquatic environments by synthetic dyes poses significant environmental and health risks due to their structural complexity, toxicity, and resistance to biodegradation. Traditional treatment materials such as activated carbon, ion-exchange resins, and metal oxides are often limited by high cost, energy requirements, and post-use challenges. Biochar has emerged as a sustainable alternative, offering favourable physicochemical properties and characteristics, including large …


The Strong Impact of Precipitation Intensity on Groundwater Recharge and Terrestrial Water Storage Change in Arizona, a Typical Dryland

Authors: Yuan Qiu, J. S. Famiglietti, Ali Behrangi, Mohammad Ali Farmani, Hossein Yousefi Sohi, Aniket Gupta et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2025gl114747 · Citations: 7

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

Abstract This study demonstrates the critical role of precipitation intensity in groundwater recharge generation and terrestrial water storage (TWS) change. We conducted two experiments driven by precipitation products with close annual totals but distinct intensity in Arizona, using the Noah‐MP model with advanced soil hydrology. The experiment with higher precipitation intensity (EXP HI ) produces an annual groundwater recharge of 6.91 mm/year in Arizona during 2001–2020, ∼15 times that of …


Episodic flooding causes sudden deoxygenation shocks in human-dominated rivers

Authors: Yongqiang Zhou, Jinling Wang, Lei Zhou, Wei Zhi, Yunlin Zhang, Boqiang Qin et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-62236-5 · Citations: 13

Matched topics: river, flood

(16.2%) in 80.1% and 69.4% of the rivers, respectively, with the sharpest declines in agricultural and urban areas. These abrupt deoxygenation events link to increased ammonium and land-use intensity, causing more frequent hypoxia in developed regions. Contrary to initial expectations, floods often reduce oxygen levels, with faster recovery in urbanized regions. As climate change intensifies flooding, such sudden deoxygenation shocks may degrade aquatic ecosystems particularly in human-altere…


Differential Decline in Terrestrial Water Storage Across Major Permafrost‐Dominated Arctic River Basins During the Rapid Warming Period From 1981 to 2020

Authors: Qiwei Huang, Ping Wang, Ruixin Wang, Jingjie Yu, Н. Л. Фролова, S. Pozdniakov

Journal: Journal of Geophysical Research Atmospheres · DOI: 10.1029/2024jd042978 · Citations: 3

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

Abstract Terrestrial water storage (TWS) in northern high‐latitude regions is strongly influenced by climate warming and the resulting permafrost thaw. However, it is not yet fully understood how different permafrost types constrain TWS changes during the rapid warming period. In this study, we focused on the six major Arctic river basins (Ob’, Yenisei, Lena, Kolyma, Yukon, and Mackenzie), which are characterized by widespread permafrost, and employed three TWS products derived from remote se…


The attribution of human health outcomes to climate change: transdisciplinary practical guidance

Authors: Kristie L. Ebi, Andy Haines, Roberto F. S. Andrade, Christofer Åström, Maurício L. Barreto, Ana Bonell et al.

Journal: Climatic Change · DOI: 10.1007/s10584-025-03976-7 · Citations: 10

Matched topics: climate change, earth system model

Abstract not available.


Heterogeneous impacts of human activities and climate change on transformed vegetation dynamics on the Qinghai-Tibet Plateau

Authors: Dazhi Yang, Yaqun Liu

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.126575 · Citations: 13

Matched topics: climate change

Abstract not available.


Application of a Semi‐Lagrangian Advection Scheme for Transport of Stable Water Isotopes Over the Antarctic Plateau in the Isotope‐Incorporated Global Spectral Model (IsoGSM)

Authors: Namgu Yeo, Eun‐Chul Chang, Kei Yoshimura

Journal: Journal of Geophysical Research Atmospheres · DOI: 10.1029/2024jd043154 · Citations: 3

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

Abstract Stable water isotopes have unique physical characteristics and are therefore key in research on paleoclimate proxies and Earth’s hydrological cycle. Isotope‐incorporated General Circulation Models (GCMs) are powerful tools that account for the physical processes related to stable water isotopes. In this study, we implemented a global version of the Non‐iteration Dimensional‐split Semi‐Lagrangian (NDSL) advection scheme in the IsoGSM to address a systematic bias in the delta values of…


A novel framework for future drought characterization under ranked-based subset selection and weighted aggregative multi-modal ensemble of global climate models

Authors: Muhammad Shakeel, Hussnain Abbas, Zulfiqar Ali, Aqil Tariq, Mansour Almazroui, Shuraik Kader

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.126692 · Citations: 7

Matched topics: hydrologic model, drought

). A Gaussian-Norm Weighted Drought Index (GNWDI) was also introduced, offering enhanced drought standardization within the Standardized Precipitation Index (SPI) framework. Applying this framework in Punjab, Pakistan, using 22 GCMs, enabled the identification of high-performing models such as MIROC-ES2L, CMCC-CM2-SR5, and IPSL-CM6A-LR. Future drought trends for 2015-2100 were projected under three Shared Socioeconomic Pathways (SSPs). Results revealed a rise in extreme droughts and wet condi…


Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 8 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.

Hydrologic performance assessment of low impact development facilities based on monitoring data and SWMM modeling in an urban catchment in Taiwan

Authors: Yu‐Jia Chiu, Chang Li, Yu-Te Lin, Ying‐Tien Lin, Chen‐Wuing Liu, Jin‐Jing Lee

Journal: Scientific Reports · DOI: 10.1038/s41598-025-11586-7 · Citations: 9

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

Traditional urban stormwater management systems are increasingly strained by expanding impervious ground cover and intense precipitation associated with climate change. Low-impact Development (LID) has emerged as a vital strategy to mitigate these impacts. This study assessed Taiwan’s first large-scale integrated LID installation-the Taoyuan Water Recycling Center, which incorporates bioretention cells, permeable pavements, and green roofs. Simulations performed using the Storm Water Manageme…


A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin

Authors: Yan Lu, Ying Huang, Xiaoling Liu

Journal: Scientific Reports · DOI: 10.1038/s41598-025-12391-y · Citations: 4

Matched topics: hydrologic model, runoff, streamflow, flood

Along with global climate change, more frequent extreme climate phenomena have led to an increasing number of and increasingly severe flood disasters. Extreme rainfall events are capable of generating substantial amounts of surface runoff. Concurrently, the progression of urbanization has given rise to the expansion of impervious surfaces, thereby augmenting the likelihood of flood disasters. As China’s most flood-vulnerable region, the Sichuan Basin has sustained recurrent catastrophic flood…


Historical changes in overtopping probability of dams in the United States

Authors: Eunsaem Cho, Ebrahim Ahmadisharaf, Gabriele Villarini, Amir AghaKouchak

Journal: Nature Communications · DOI: 10.1038/s41467-025-59536-1 · Citations: 6

Matched topics: streamflow, water management, hydropower

With concerns about aging dams and nonstationary changes in hydrologic extremes (e.g., flooding), questions arise about whether existing dams may be at risk of failure and pose threats to society. Here, we analyzed 33 dams across the United States to investigate temporal trends in dam overtopping probabilities of annual maximum dam water levels. These dams were selected because of the availability of public domain long-term time series of uncontrolled water levels (50 years or longer). We app…


Bayesian network modeling of flood cascade and climate risks in the Pearl River Delta

Authors: Wen Zhang, Jianglong Cui, Weike Yao, Mariavittoria Guida, Frederick Kwame Yeboah, Xuanru Zhou et al.

Journal: npj natural hazards. · DOI: 10.1038/s44304-025-00115-1 · Citations: 5

Matched topics: hydrologic model, river, flood

Climate change and rapid urbanization are intensifying flood vulnerability in highly urbanized delta regions. This study develops a Bayesian network model to assess flood control infrastructure vulnerability (including flood susceptibility and critical failure nodes) and cascading failures in the Pearl River Delta (PRD) under future climatic scenarios. To evaluate future flood hazards, downscaled climate projections from global climate models and a stochastic weather generator were employed t…


Seasonal diversity of global flood changes and their drivers

Authors: Xihui Gu, Nannan Cheng, Yansong Guan, Dongdong Kong

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133976 · Citations: 5

Matched topics: streamflow, flood, seasonal

Abstract not available.


Wetland sulfur isotope signals and dynamic isotope baselines: implications for archaeological research

Authors: Sarah K. Wexler, Rhiannon E. Stevens

Journal: Frontiers in Environmental Archaeology · DOI: 10.3389/fearc.2025.1599779 · Citations: 4

Matched topics: hydrology, hydrologic model, water management

Sulfur isotopic composition (δ 34 S) is used in archaeological research to reconstruct past mobility patterns and diet using environmental baselines. Human and faunal collagen δ 34 S is generally interpreted as reflecting environmental baselines derived from geological sulfur and marine sulfur near the coast. However, recent studies have highlighted that the δ 34 S of bioavailable sulfur is modified in wetlands and waterlogged environments as a result of microbial sulfate reduction and sulfid…


Plant height mediates hydrological impacts on soil nutrients in seasonal floodplain wetlands

Authors: Jiawei Shi, Lianlian Xi, Jiacheng Wang, Bo Ren, Hui Fu, Guixiang Yuan et al.

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113918 · Citations: 3

Matched topics: hydrology, hydrologic model, seasonal

• Plant height mediates hydrology–nutrient link in Dongting floodplain wetlands. • Short, flood–tolerant communities act as nutrient sinks by trapping sediment N and P. • Tall, flood–sensitive communities amplify hydrologic impacts and lose soil nutrients. • Soil bulk density, pH and moisture shape N–P cycles, modulated by community height. • Trait–based strategy: mix short buffers with tall species and tier water levels. Seasonal flood fluctuations profoundly influence soil nutrient dynamics…


Improving disaster resilience with causal machine learning for flood damage estimation

Authors: Mujungu Lawrence Museru, Rouzbeh Nazari, Mohammad Reza Nikoo, Maryam Karimi

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.180121 · Citations: 12

Matched topics: flood

Abstract not available.


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.

Artificial intelligence in sustainable development research

Authors: Charlotte Gohr, Jorge Gustavo Rodríguez Aboytes, S. Belomestnykh, D. Berg-Moelleken, Neha Chauhan, John‐Oliver Engler et al.

Journal: Nature Sustainability · DOI: 10.1038/s41893-025-01598-6 · Citations: 33

Matched topics: hydrology

Abstract Artificial intelligence (AI) holds significant potential to advance Sustainable Development Goals by enabling data-driven insights and optimizations. In this analysis, we review 792 articles that explore AI applications in Sustainable Development Goal-related research. The literature is organized along two dimensions: (1) the disciplinary spectrum, from natural sciences to the humanities, and (2) the focus, distinguishing economic from socioecological content. Deep learning and super…


Novel Deep Learning Transformer Model for Short to Sub‐Seasonal Streamflow Forecast

Authors: Anukesh Krishnankutty Ambika, Kshitij Tayal, Vimal Mishra, Dan Lu

Journal: Geophysical Research Letters · DOI: 10.1029/2025gl116707 · Citations: 6

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

Abstract Accurate short‐to‐subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over extended lead times, uncertainty in meteorological inputs, and increased frequency and variability in extreme weather and climate events. We implemented a Future Time Series Transformer (FutureTST) model for streamflow forecasting that separately integrates past meteorological and streamflow d…


Enhancing Multi-Step Reservoir Inflow Forecasting: A Time-Variant Encoder–Decoder Approach

Authors: Ming Fan, Dan Lu, Sudershan Gangrade

Journal: Geosciences · DOI: 10.3390/geosciences15080279 · Citations: 8

Matched topics: hydrology, streamflow, reservoir, water management, hydropower

Accurate reservoir inflow forecasting is vital for effective water resource management. Reliable forecasts enable operators to optimize storage and release strategies to meet competing sectoral demands—such as water supply, irrigation, and hydropower scheduling—while also mitigating flood and drought risks. To address this need, in this study, we propose a novel time-variant encoder–decoder (ED) model designed specifically to improve multi-step reservoir inflow forecasting, enabling accurate …


Toward routing river water in land surface models with recurrent neural networks

Authors: Maurício Andrade de Lima, Katherine M. Deck, Oliver R. A. Dunbar, Tapio Schneider

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-3145-2025 · Citations: 2

Matched topics: hydrology, river, runoff, streamflow, land surface model, surface water

Abstract. Machine learning is playing an increasing role in hydrology, supplementing or replacing physics-based models. One notable example is the use of recurrent neural networks (RNNs) for forecasting streamflow given observed precipitation and geographic characteristics. Training of such a model over the continental United States (CONUS) has demonstrated that a single set of model parameters can be used across independent catchments, and that RNNs can outperform physics-based models. In th…


Optical next generation reservoir computing

Authors: Hao Wang, Jianqi Hu, YoonSeok Baek, Kohei Tsuchiyama, Malo Joly, Qiang Liu et al.

Journal: Light Science & Applications · DOI: 10.1038/s41377-025-01927-6 · Citations: 16

Matched topics: reservoir

Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich computing expressivity and compatibility with physical implementations for enhanced efficiency. Recently, a new RC paradigm known as next generation reservoir computing (NGRC) further improves expressivity but compromises its physical openness, posing challenges for realizations in physical systems. Here we demonstrate op…


An explainable ensemble deep learning model for long-term streamflow forecasting under multiple uncertainties

Authors: Xinyuan Qian, Bin Wang, Juan Chen, Yukun Fan, Ran Mo, Chengjing Xu et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133968 · Citations: 14

Matched topics: streamflow

Abstract not available.


Evaluation of supervised machine learning techniques for cavitation detection and diagnosis in a pump-as-turbine system

Authors: Calvin Stephen, Biswajit Basu, Aonghus McNabola

Journal: Expert Systems with Applications · DOI: 10.1016/j.eswa.2025.129167 · Citations: 13

Matched topics: hydropower

The transition to sustainable and efficient energy systems has driven a rapid adoption of variable renewable energy sources such as wind and solar, increasing the demand for reliable and flexible power generation. Hydropower remains essential to grid stability; however, aging infrastructure and the need for more flexible operation present significant challenges. Digitalization has emerged as a key strategy to modernise hydropower systems with Machine Learning (ML) playing an increasingly impo…


Authors: Adedibu Sunny Akingboye

Journal: Discover Geoscience · DOI: 10.1007/s44288-025-00169-8 · Citations: 12

Matched topics: hydrologic model

This comprehensive review examines electrical and seismic refraction methods, emphasizing their advanced applications in electrical resistivity tomography (ERT) and seismic refraction tomography (SRT). These techniques are crucial for understanding surface–subsurface crustal dynamics, offering critical insights into resistivity and velocity structures for geological and geohazard assessments. The review also explores the induced polarization (IP) and self-potential (SP) methods as complementa…


Machine learning-based streamflow projections in the upper indus basin under CMIP6 climate scenarios

Authors: Muhammad Saleem, Muhammad Shoaib, Sarfraz Hashim, Muhammad Shoaib, Hafiz Umar Farid, Mubashir Ali Ghaffar et al.

Journal: Physics and Chemistry of the Earth Parts A/B/C · DOI: 10.1016/j.pce.2025.104035 · Citations: 2

Matched topics: streamflow, hydropower, surface water

Abstract not available.


Water Management, Irrigation, and Groundwater

Water management research this week spans 7 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.

Representation of a two-way coupled irrigation system in the Common Land Model

Authors: S. Zhang, Hongbin Liang, Fang Li, Xingjie Lu, Yongjiu Dai

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-3119-2025 · Citations: 1

Matched topics: hydrology, streamflow, water management, land surface model, surface water, irrigation

Abstract. Human land–water management, especially irrigation water withdrawal and use, significantly impacts the global and regional water cycle, energy budget, and near-surface climate. While land surface models are widely used to explore and predict the impacts of irrigation, the irrigation system representation in these models is still in its early stages. This study enhances the Common Land Model (CoLM) by introducing a two-way coupled irrigation module. This module includes an irrigation…


Impacts and sources of potential toxic elements on water quality and optimizing machine learning models for sustainable management

Authors: Mohamed Hamdy Eid, Omar Saeed, Péter Szűcs, Attila Kovács, András Székács, Mária Mörtl et al.

Journal: Modeling Earth Systems and Environment · DOI: 10.1007/s40808-025-02548-z · Citations: 16

Matched topics: hydrology, water management

Abstract This study developed an integrated hydrogeochemical-machine learning approach for groundwater quality assessment and health risk evaluation in Yemen’s Al Jawf basin. Thirty-three samples from the Quaternary aquifer were analyzed for major ions and trace metals, with multivariate statistics identifying hydrogeochemical patterns and Random Forest (RF) models predicting water quality indices. Hydrogeochemical analysis revealed three water types: Ca-HCO₃ (45%), mixed Ca-Mg-HCO₃-SO₄ (36%)…


Sustainable rice production under water scarcity conditions using drip irrigation: Based on evidence among Iranian farmers

Authors: Moslem Savari, Mohammad Shokati Amghani, Hosna Miladi

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.106443 · Citations: 13

Matched topics: water management, irrigation

• Investigating factors affecting the adoption of drip irrigation instead of flooding in rice cultivation. • Providing practical policies in the field of sustainable water management in the agricultural sector. • Using structural equation modeling in data analysis. Rice is one of the most essential food crops worldwide; however, traditional cultivation methods, particularly flooding, are increasingly unsustainable due to excessive water consumption, especially in regions facing water scarcity…


Hydrochemical assessment of groundwater for drinking and irrigation suitability in Vaniyambadi region, Tamil Nadu, Southern India: A sustainable approach

Authors: Aishwarya Ramachandran, Richard Abishek S, Stephen Pitchaimani, Suresh Gandhi M, Vinay Prakash

Journal: Cleaner Water · DOI: 10.1016/j.clwat.2025.100102 · Citations: 5

Matched topics: runoff, water management, irrigation

This study assesses groundwater quality in the Vaniyambadi region of southern India, examining its suitability for drinking and irrigation purposes. Groundwater samples were analyzed for physicochemical parameters, major ions, and heavy metals and the results were compared with WHO (2017) standards. Results show slightly alkaline conditions (pH 7.4-8.4), and 88% of samples exceeding recommended TDS levels (460-2220 mg/L), indicating salinity issues from natural mineral dissolution and human a…


Reimagining Rural and Small-Town Water Supply in Ghana through Inclusive Governance and Sustainable Models

Authors: Enoch Akwasi Kosoe, Issaka Kanton Osumanu, Matthew Chidozie Ogwu

Journal: Journal of Sustainability · DOI: 10.55845/jos-2025-1234 · Citations: 14

Matched topics: water management

Water supply management in Ghana’s rural and small-town communities is undergoing significant transformation due to persistent sustainability challenges. This study evaluates three primary management models: Community Ownership and Management (COM), Public Utility, and Consultative (Hybrid). The central research question guiding the study is: How do different water governance models influence the effectiveness, equity, and sustainability of rural and small-town water supply systems in Ghana? …


River Area Segmentation Using Sentinel-1 SAR Imagery with Deep-Learning Approach

Authors: Nindian Puspa Dewi, Putu Hendra Suputra, A.A. Gede Yudhi Paramartha, Luh Joni Erawati Dewi, Pariwate Varnakovida, Kadek Yota Ernanda Aryanto

Journal: Geomatics and Environmental Engineering · DOI: 10.7494/geom.2025.19.4.39 · Citations: 3

Matched topics: river, water management, surface water

River segmentation is important in delivering essential information for environmental analytics such as water management, flood/disaster management, observations of climate change, or human activities. Advances in remote-sensing technology have provided more complex features that limit the traditional approaches’ effectiveness. This work uses deep-learning-based models to enhance river extractions from satellite imagery. With Resnet-50 as the backbone network, CNN U-Net and DeepLabv3+ were ut…


Self-Cleaning Electrospun Intercalated MXene/PAN Evaporator Enables Highly Efficient Photothermal Interfacial Evaporation-Assisted Radioactive Wastewater Treatment

Authors: Cailin Yang, Qiuyu Mei, Haipu Li, Zhi‐An Wang, Hua Wan, Kai Han

Journal: Industrial & Engineering Chemistry Research · DOI: 10.1021/acs.iecr.5c01903 · Citations: 7

Matched topics: water management, surface water

We developed electrospun MXene/PAN nanofiber membranes (EMPs) for efficient photothermal interfacial evaporation (PIE) in radioactive wastewater treatment. Ti3C2Tx nanosheets were uniformly intercalated into the PAN matrix during electrospinning, improving membrane stability and durability. We used the CIE Lab color space to analyze the relationship between membrane color and solar absorption, and the EMP membrane showed a strong average light absorption of 92.7%. A two-dimensional (2D) water…


Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 14 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.

Atomically precise Ni nanoclusters supported on CNT confined in hydrogel for efficient solar water evaporation: Understanding synergistic effect of Ni Nanoclusters and CNT on photothermal conversion

Authors: Xinke Jiang, Congming Tang, Xinli Li, Zhi Chen

Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2025.166473 · Citations: 42

Matched topics: water management, surface water

Abstract not available.


Satellite Requirements to Capture Water Propagation in Earth’s Rivers

Authors: Arnaud Cerbelaud, Cédric H. David, Tamlin M. Pavelsky, Sylvain Biancamaria, Pierre‐André Garambois, Cécile Marie Margaretha Kittel et al.

Journal: Reviews of Geophysics · DOI: 10.1029/2024rg000871 · Citations: 5

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

Abstract The water in Earth’s rivers propagates as waves through space and time across hydrographic networks. A detailed understanding of river dynamics globally is essential for achieving accurate knowledge of surface water storage and fluxes to support water resources management and water‐related disaster forecasting and mitigation. Global in situ information on river flows are crucial to support such an investigation but remain difficult to obtain at adequate spatiotemporal scales, if they…


Membrane technology for microplastic removal: Microplastic occurrence, challenges, and innovations of process and materials

Authors: Zhuoran Lin, Xingyu Hu, Hongjun Lin, Genying Yu, Liguo Shen, Wei Yu et al.

Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2025.166183 · Citations: 23

Matched topics: water management, surface water

Abstract not available.


Snow droughts amplify compound climate extremes over the Tibetan Plateau

Authors: Wenqing Zhang, Liu Liu, Haijiang Wu, Ting Zhang, Yudong Chen, Lei Wang

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-025-02551-3 · Citations: 8

Matched topics: streamflow, drought, surface water, earth system model

Escalating impacts of snow droughts have critically threatened hydrological stability and socioeconomic resilience on the Tibetan Plateau, Asia’s alpine water tower. However, the mechanisms linking snow droughts to compound climate extremes remain poorly understood. Here, we presented comprehensive assessment of how snow drought regimes modulated compound climate extremes during the period 1979–2022. We found significant increases in severity for both dry snow droughts and warm snow droughts,…


Comparative rainfall-runoff hydrological modeling over central Ethiopia using ground observation and global satellite precipitation products: remote sensing support for water resource management

Authors: Bereket Abera Bedada

Journal: Discover Applied Sciences · DOI: 10.1007/s42452-025-07448-6 · Citations: 2

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

Ground rainfall records are crucial for hydrological modeling but often suffer from gaps due to aging infrastructure, poor data management, institutional challenges, and regional conflicts. This challenge is anticipated to worsen in the future, posing a continued threat to data reliability. Therefore, assessing the suitability of global satellite precipitation datasets is crucial for ensuring reliable hydrological simulations and addressing potential future data gaps. This study aims to simul…


Impacts of agricultural management practices on water cycle, soil erosion and crop yields in a Mediterranean agroecosystem

Authors: Giuseppe Pulighe, A. Belocchi, Alice Carlotta Tani, Flavio Lupia

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.180111 · Citations: 5

Matched topics: runoff, streamflow, water management, land surface model

Sustainable land management in Mediterranean agroecosystems is crucial for preserving soil health, optimizing water use efficiency, and ensuring crop productivity under increasing climate extremes and prolonged drought periods. This study evaluates the effectiveness of agricultural management practices (AMPs) in mitigating soil erosion and improving water dynamics in the Cervaro river basin, a key grain-producing region in southern Italy. The Soil Water Assessment Tool (SWAT+) was applied to …


Asynchronous changes and driving mechanisms of water-sediment transport in the Jinsha River Basin: Response to climate change and human activities

Authors: Juying Sun, Genxu Wang, Shouqin Sun, Shijun Chen, Xiangyang Sun, Yuanming Wang et al.

Journal: CATENA · DOI: 10.1016/j.catena.2025.109325 · Citations: 4

Matched topics: river, runoff, climate change, hydropower

Abstract not available.


Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories

Authors: Takele Ferede Agajie, Fuseini Seidu Ibrahim, Isaac Amoussou, Elsabet Ferede Agajie, Eriisa Yiga Paddy, Yayehyirad Ayalew Awoke et al.

Journal: Discover Sustainability · DOI: 10.1007/s43621-025-01563-5 · Citations: 18

Matched topics: hydropower

Due to the declining supply of fossil fuels, redesigning electricity networks to integrate renewable energy is essential. This project focuses on providing reliable power to the electrical and electronics laboratory at Buea University, Cameroon, by evaluating the technical and economic performance of a grid-tied solar PV (Photovoltaic) system with storage. Total net present cost (TNPC) was used for economic analysis, and mathematical modeling was created in order to apply metaheuristic optimi…


Hydrological shifts from vegetation restoration in semi-arid regions: insights from the typical watersheds of the Yellow River

Authors: Hao Jia, Biqing Tian, Xiaoyan Song, Wenyi Sun, Xingmin Mu

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113924 · Citations: 7

Matched topics: river, runoff, streamflow

• Vegetation restoration has contributed to a reduction in annual runoff by 8 %–31.3 %. • Cultivated land to forest led to a 31.3 % decrease in runoff and an 8.24 % rise in ET. • Artificial forests exert the most significant impact on hydrological processes. Vegetation restoration in semi-arid regions presents complex tradeoffs between ecological benefits and hydrological impacts. This study focused on three representative watersheds Loess Plateau the middle of the Yellow River in China—Huang…


Construction and application of copula-based trivariate standardized river disconnection index for seasonal rivers in arid and semi-arid areas

Authors: Qingqing Qi, Zipeng Wang, Zezhong Zhang, Hang Yin, Hexin Lai, Yiyang Zhao et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-11513-w · Citations: 2

Matched topics: river, streamflow, seasonal, surface water

Traditional concepts of river health and methods for identifying ecological river disconnection are not applicable to seasonal rivers. Given the substantial negative impact of ecological river disconnection on river ecosystems and the importance of groundwater and soil moisture for the ecology of seasonal rivers in arid and semi-arid regions, developing a comprehensive index for accurately identifying ecological river disconnection in these rivers is crucial. This study introduces a new Stand…


Pore-scale simulation of multi-fluid flow transport dynamics for hydrogen geological storage in depleted gas reservoirs

Authors: Xinyuan Gao, Shenglai Yang, Lufei Bi, Yiqi Zhang, Jiangtao Hu, Mengyu Wang et al.

Journal: Gondwana Research · DOI: 10.1016/j.gr.2025.06.025 · Citations: 15

Matched topics: reservoir

Abstract not available.


Moisture-driven microbial regime shifts mediate nutrient dynamics in reservoir riparian zones

Authors: Yi Li, Xiaodan Liang, Nan Yang, Lin Li, Tianpeng Gao

Journal: Water Research · DOI: 10.1016/j.watres.2025.124309 · Citations: 12

Matched topics: reservoir

Abstract not available.


Influence of nutrients on aquatic vegetation and trophic status of lakes: analysis of eutrophication and mitigation

Authors: Fernando García-Ávila, Estefanía García-Pizarro, Gabriela Malla-Aguilar, Camila Sánchez-Cabrera, Manuel Cadme-Galabay, Lorgio Valdiviezo-Gonzáles et al.

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.106381 · Citations: 7

Matched topics: runoff, surface water

• Cyanobacteria and green algae are most affected by N:P. • Phosphorus is the most common limiting nutrient in lakes. • The nitrogen/phosphorus ratio is 10:1 to 20:1 in lakes. • Vegetative barriers and sediment traps are used to reduce nutrients. • Aeration and biological methods are common to remove vegetation. The objective of this study was to systematically assess the influence of nutrient concentrations on aquatic vegetation dynamics, water quality, and biodiversity in lake ecosystems, a…


Trivariate frequency analysis using copulas emphasizing the importance of the duration of hydrographs for hydraulic works

Authors: Eduardo Omar Copca Maya, Óscar Arturo Fuentes Mariles

Journal: Hydrology research · DOI: 10.2166/nh.2025.174 · Citations: 2

Matched topics: hydrology, hydrologic model, runoff

ABSTRACT The use of copula functions in hydrology has increased significantly, as they allow for more precise hydrograph estimation by incorporating the joint behavior of key variables. However, modeling runoff events with three variables – flow, volume, and duration – presents challenges, especially due to the complexity in defining and discretizing the duration variable. This study evaluates the role of duration and proposes a methodology to estimate trivariate design hydrographs, giving pr…


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 908
After deduplication 676
After LLM relevance filtering 50
Rejected (not relevant) 626

Papers by journal

Journal Papers
Scientific Reports 4
Discover Sustainability 2
Chemical Engineering Journal 2
Geophysical Research Letters 2
Hydrology and earth system sciences 2
The Science of The Total Environment 2
Nature Communications 2
Results in Engineering 2
Journal of Geophysical Research Atmospheres 2
Ecological Indicators 2
Journal of Hydrology 2
Journal of Environmental Management 2
Frontiers for Young Minds 1
Nature Sustainability 1
Reviews of Geophysics 1
Agricultural and Food Economics 1
Geosciences 1
Next Materials 1
Communications Earth & Environment 1
Discover Applied Sciences 1
Modeling Earth Systems and Environment 1
CATENA 1
Light Science & Applications 1
Gondwana Research 1
Climatic Change 1
npj natural hazards. 1
Cleaner Water 1
Journal of Sustainability 1
Frontiers in Environmental Archaeology 1
Expert Systems with Applications 1
Geomatics and Environmental Engineering 1
Discover Geoscience 1
Water Research 1
Industrial & Engineering Chemistry Research 1
Hydrology research 1
Physics and Chemistry of the Earth Parts A/B/C 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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