Weekly Literature Review
Week 24 · June 9–June 15, 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 Settling behavior and mechanism analysis of kaolinite as a fracture proppant of , with 57 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
- Settling behavior and mechanism analysis of kaolinite as a fracture proppant of hydrocarbon reservoirs in CO2 fracturing fluid
- Coupled thermo-hydro-mechanical-damage modeling of cold-water injection in deep geothermal reservoirs
- Addressing critiques refines global estimates of reforestation potential for climate change mitigation
- Modeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian Optimization
- Phosphorus adsorption and recovery from waste streams using biochar: review of mechanisms, modifications, and agricultural applications
- Beyond adjustment: A new paradigm for climate change adaptation in a complex world
- Climate Change Impacts on the Indus River Basin: Hydrology, Water Quality, and Treaty Implications
- Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model
- Advancing Circular Economy for Climate Change Mitigation and Sustainable Development in the Nordic Region
- European Temperature Extremes Under Different AMOC Scenarios in the Community Earth System Model
- Revealing the impact patterns of urban morphology on land surface temperature in the Guangdong-Hong Kong-Macao Greater Bay Area, China
- Climate change anxiety and pro-environmental behaviours: disentangling gender disparities
- Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees
- Impacts of Landscape Composition on Land Surface Temperature in Expanding Desert Cities: A Case Study in Arizona, USA
- A molecular perspective on the microscopic mechanisms of CO2 injection and water films in fluid transport and enhanced oil recovery
- Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data
- A hydrological drought risk assessment method based on a four-dimensional Copula function model integrating development and recovery speed characteristics
- Cold climates, complex hydrology: can a land surface model accurately simulate deep percolation?
- Mechanisms of plant extracts in alleviating drought and saline-alkali stress in plants
- Analyzing Drought: the Impact of Climate Change on Precipitation Patterns in the Shilabati River Basin, West Bengal, India
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- An explainable AI approach for interpreting regionally optimized deep neural networks in hydrological prediction
- Accelerating flood warnings by 10 hours: the power of river network topology in AI-enhanced flood forecasting
- Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts
- Machine learning based water quality evolution and pollution identification in reservoir type rivers
- Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks
- Coupling crop growth models and machine learning for scalable winter wheat yield estimation across major wheat regions in China
- A hybrid framework for real-time flash flood forecasting in small ungauged catchments: integrating hydrodynamic simulations with LSTM networks
- Precise prediction models for floating and land-based Photovoltaics: Comparative analysis for advancing sustainable energy and water management solutions
- Water Management, Irrigation, and Groundwater
- Global mapping of freshwater contamination by pesticides and implications for agriculture and water resource protection
- Spatial variation and hydrogeochemical characterization of groundwater in Vallanadu region: insights from water quality index and statistical analysis
- Integrated assessment of groundwater hydrogeochemistry and quality using multivariate statistical analysis, self-organizing maps, and water quality indices in District Bagh, AJK, Pakistan
- Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems
- Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis
- Comparison of eutrophication assessment for the Nitrates and Water Framework Directives: Impacts and opportunities for streamlined approaches
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Metal pollution, eco-health risks and source apportionment in coastal sediments of Samsun, Türkiye: A receiving zone for the Kızılırmak and Yeşilırmak rivers
- Nanobiomaterials-enabled sensors for heavy metal detection and remediation in wastewater systems: advances in synthesis, characterization, and environmental applications
- Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting
- Baltic hydro-climatic data: a regional data synthesis for the baltic sea drainage basin
- Machine Learning and Morphometric Analysis for Runoff Dynamics: Enhancing Flood Management and Catchment Prioritization in Bayelsa, Nigeria
- Trends and purposes of European river monitoring and restoration
- Streamflow sensitivity regimes of alpine catchments: seasonal relationships with elevation, temperature, and glacier cover
- Streamflow prediction based on data-scarce river-aquifer dynamics estimated by a simplified modelling framework in a dryland catchment
- Recent advances in graphene oxide and metal oxides composites synthesis and their applications in wastewater treatment: Removal of dyes, heavy metals, and pharmaceutical contaminants
- Impacts of large reservoirs on downstream lake hydrological regimes in complex river–lake systems: A case study of the Three Gorges Reservoir and Dongting Lake
- Effects of vegetation cover and rock embedding landscape types and configurations on regulating runoff generation and sediment yields in karst slope under simulated experiment
- Effects of flow-guiding block on water transport and performance in modified PEMFC gas flow channel
- Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments
- Climate-change-induced seismicity: The recent onset of seasonal microseismicity at the Grandes Jorasses, Mont Blanc Massif, France/Italy
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 20 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.
Settling behavior and mechanism analysis of kaolinite as a fracture proppant of hydrocarbon reservoirs in CO2 fracturing fluid
Authors: Qiang Li, Qiang Li, Qingchao Li, Qingchao Li, Fuling Wang, Ning Xu et al.
Journal: Colloids and Surfaces A Physicochemical and Engineering Aspects · DOI: 10.1016/j.colsurfa.2025.137463 · Citations: 57
Matched topics: reservoir
Abstract not available.
Coupled thermo-hydro-mechanical-damage modeling of cold-water injection in deep geothermal reservoirs
Authors: Liyuan Liu, Yaohui Li, Wenzhuo Cao, Tao Wang, Le Zhang, Xianhui Feng
Journal: Journal of Rock Mechanics and Geotechnical Engineering · DOI: 10.1016/j.jrmge.2025.06.002 · Citations: 24
Matched topics: hydrologic model, reservoir, earth system model
Rock damage significantly affects coupled thermo-hydro-mechanical (THM) behavior in deep geothermal exploitation through changing thermal and hydrological properties of rocks. For this, a thermo-hydro-mechanical-damage (THMD) coupled model was developed to describe the coupling between rock damage and mechanical, fluid flow and heat transfer fields. The model considers rock heterogeneity, and incorporates the Mohr-Coulomb failure criterion and the maximum tensile stress criterion to evaluate …
Addressing critiques refines global estimates of reforestation potential for climate change mitigation
Authors: Kurt A. Fesenmyer, Erin E. Poor, Drew E. Terasaki Hart, Joseph W. Veldman, Forrest Fleischman, Pooja Choksi et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-59799-8 · Citations: 21
Matched topics: hydrology, climate change, earth system model
e per year total net mitigation potential) if only statutorily protected areas are targeted. Few locations simultaneously achieve multiple objectives, suggesting that a mix of lands and restoration motivations will be needed to capitalize on the many potential benefits of reforestation.
Modeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian Optimization
Authors: Abdullah A. Alsumaiei
Journal: Journal of Hydrologic Engineering · DOI: 10.1061/jhyeff.heeng-6515 · Citations: 12
Matched topics: hydrology, streamflow, water management, drought
This study develops an optimized machine learning-based computational framework for assessing drought conditions in water-scarce regions. The pattern of drought periods is highly non-linear, especially in arid climates, hindering water management planning. The proposed framework integrates a precipitation index (PI) with Gaussian process regression, regression tree, and ensemble tree models to predict drought occurrences using an optimal autoregressive modeling approach specifically designed …
Phosphorus adsorption and recovery from waste streams using biochar: review of mechanisms, modifications, and agricultural applications
Authors: Soni Kumari, Younsuk Dong, Steven I. Safferman
Journal: Applied Water Science · DOI: 10.1007/s13201-025-02523-0 · Citations: 24
Matched topics: earth system model
This literature review investigated the efficacy of both unmodified and modified biochars as an adsorbent for phosphorus (P) capture from waste streams. The review focused on critical design aspects including the maximum phosphate removal adsorption capacities, influence of pH, coexisting ions, and pyrolytic conditions on P adsorption. The adsorption mechanisms, including electrostatic interactions, ion exchange, and complexation, were elucidated to provide insights into the underlying proces…
Beyond adjustment: A new paradigm for climate change adaptation in a complex world
Authors: Ana Terra Amorim‐Maia, Marta Olazabal
Journal: Global Environmental Change · DOI: 10.1016/j.gloenvcha.2025.103027 · Citations: 23
Matched topics: climate change
• Ambiguity and risk narratives dominate high-level definitions of adaptation. • Current debates call for a paradigm shift in climate adaptation. • We interview 50 global experts with 950 years of combined experience. • We identify 4 narratives, 4 realisations, and 2 catalysts shaping evolving views. • We propose an adaptation heuristic framework to fit current thought and practice. Climate change adaptation is central to political and scientific agendas that aim to reduce the impacts of a wa…
Climate Change Impacts on the Indus River Basin: Hydrology, Water Quality, and Treaty Implications
Authors: Muhammad Khizar, Shah Nawaz, Hassan Bashir, Muhammad Aqeel
Journal: iRASD Journal of Energy & Environment · DOI: 10.52131/jee.2025.0601.0058 · Citations: 2
Matched topics: hydrology, river, water management, climate change, hydropower
The Indus River is highly sensitive to climate variability because most of its flow depends on Himalayan snow and glacier melt as well as monsoon rains. Climate change induces shifts in precipitation patterns, accelerating glacier retreat, and increasing the frequency of floods and droughts in the basin. The objective of this study was to analyze the quality of the Indus water and to assess the effects of climate on it, i.e. how changes in climate affect the hydrological cycle, glacier dynami…
Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model
Authors: Minna Ma, Haicheng Zhang, Ronny Lauerwald, Philippe Ciais, Pierre Regnier
Journal: Earth System Dynamics · DOI: 10.5194/esd-16-841-2025 · Citations: 3
Matched topics: hydrology, river, land surface model, earth system model
Abstract. Lateral nitrogen (N) transport from land to oceans through rivers is an important component of the global N cycle. We developed a new model of this aquatic system, called LSM_Nlateral_Off (Land Surface Model Nitrogen lateral Offline), which simulates the routing of water in rivers, and the pertaining transport of dissolved inorganic N (DIN), dissolved organic N (DON), and particulate organic N (PON) as well as the accompanying biogeochemical processes of DON and PON decomposition an…
Advancing Circular Economy for Climate Change Mitigation and Sustainable Development in the Nordic Region
Authors: Mohammad Ridwan, Afsana Akther, Bablu Kumar Dhar, Md. Mustaqim Roshid, Tasfia Mahjabin, Shewly Bala et al.
Journal: Sustainable Development · DOI: 10.1002/sd.3563 · Citations: 20
Matched topics: climate change
ABSTRACT This study examines how circular economy (CE) strategies contribute to climate change mitigation and sustainable development in the Nordic region. Analyzing resource productivity, environmental taxation, and corporate recycling practices from 1995 to 2021, it examines the impact of economic growth, trade openness, urbanization, and regulatory incentives on CE adoption. Using the STIRPAT model and quantile regression, findings highlight that resource productivity and environmental tax…
European Temperature Extremes Under Different AMOC Scenarios in the Community Earth System Model
Authors: René M. van Westen, M. Baatsen
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl114611 · Citations: 15
Matched topics: earth system model
Recent simulations using the Community Earth System Model (CESM) indicate that a tipping event of the Atlantic Meridional Overturning Circulation (AMOC) would cause Europe to cool by several degrees. This AMOC tipping event was found under constant pre‐industrial greenhouse gas forcing, while global warming likely limits this AMOC‐induced cooling response. Here, we quantify the European temperature responses under different AMOC regimes and climate change scenarios. A strongly reduced AMOC st…
Revealing the impact patterns of urban morphology on land surface temperature in the Guangdong-Hong Kong-Macao Greater Bay Area, China
Authors: Jin Zeng, Yuyi Cai, Chao Yang, Yefei Liu, Wenkai Liu, Hanfa Xing
Journal: Cities · DOI: 10.1016/j.cities.2025.106147 · Citations: 13
Matched topics: land surface model, surface water
Abstract not available.
Climate change anxiety and pro-environmental behaviours: disentangling gender disparities
Authors: Mariana Pinho
Journal: Frontiers in Sociology · DOI: 10.3389/fsoc.2025.1589501 · Citations: 17
Matched topics: climate change
Introduction: Climate change represents the most significant environmental and social issue of our time. Climate change anxiety has been identified as a relevant consequence of climate change globally. Methods: The current study explored how climate change anxiety and pro-environmental behaviour vary with gender and social psychological characteristics, using a nationally representative Portuguese sample. Results: The findings revealed that women reported higher levels of climate change anxie…
Normalized tree water deficit: an automated dendrometer signal to quantify drought stress in trees
Authors: Richard L Peters, D. Basler, R. Zweifel, David N. Steger, Tobias Zhorzel, C. Zahnd et al.
Journal: New Phytologist · DOI: 10.1111/nph.70266 · Citations: 14
Matched topics: drought
Trees often encounter periods of low soil water availability and high vapor pressure deficit, which induce drought stress and significantly impair their physiological functioning, growth, and survival. Automated dendrometers are valuable tools for quantifying signals related to tree water status, such as tree water deficit (TWD). Despite previous attempts, a robust method to clearly identify drought stress timing and intensity from TWD is still lacking. We established a novel normalized tree …
Impacts of Landscape Composition on Land Surface Temperature in Expanding Desert Cities: A Case Study in Arizona, USA
Authors: Rıfat Olgun, Nihat Karakuş, Serdar Selim, Tahsin Yılmaz, Reyhan Erdoğan, Meliha AKLIBAŞINDA et al.
Journal: Land · DOI: 10.3390/land14061274 · Citations: 12
Matched topics: hydrology, earth system model
Surface urban heat island (SUHI) effects are intensifying in arid desert cities due to rapid urban expansion, limited vegetation, and increasing impervious and barren land surfaces. This leads to serious ecological and socio-environmental challenges in cities. This study investigates the relationship between landscape composition and land surface temperature (LST) in Phoenix and Tucson, two rapidly growing cities located in the Sonoran Desert of the southwestern United States. Landsat-9 OLI-2…
A molecular perspective on the microscopic mechanisms of CO2 injection and water films in fluid transport and enhanced oil recovery
Authors: Junyao Bao, Jiapei Du, Shiyuan Zhan, Lu Wang, Yongcheng Luo
Journal: ADVANCES IN GEO-ENERGY RESEARCH · DOI: 10.46690/ager.2025.06.08 · Citations: 16
Matched topics: earth system model
Molecular dynamics simulation has emerged as a powerful tool to shed light on the fundamental mechanisms that govern fluid behavior across multiple phases, such as gas, liquid and solid, at the molecular-scale. In shale reservoirs, understanding nanoscale phenomena such as microscopic friction, oil-gas interactions during CO2 huff-n-puff processes, and the influence of co-solvents, is crucial for enhanced oil recovery and informing strategies for CO2 geological sequestration in shale. This pa…
Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data
Authors: Nehar Mandal, P. Das, Kironmala Chanda
Journal: Earth System Science Data · DOI: 10.5194/essd-17-2575-2025 · Citations: 8
Matched topics: land surface model, surface water
Abstract. Understanding long-term terrestrial water storage (TWS) variations is vital for investigating hydrological extreme events, managing water resources and assessing climate change impacts. However, the limited data duration from the Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission (GRACE-FO) poses challenges for comprehensive long-term analysis. In this study, we reconstruct TWS anomalies (TWSAs) for the period from January 1960 to December 2022, thereby fillin…
A hydrological drought risk assessment method based on a four-dimensional Copula function model integrating development and recovery speed characteristics
Authors: Xiangyang Zhang, Zening Wu, Huiliang Wang, Zhilei Yu, Yifan Chen
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113751 · Citations: 6
Matched topics: hydrologic model, runoff, drought
• Constructed characteristic variables for development and recovery speed ( DS and RS ). • Intensification trends in duration, severity, and DS , alleviation trend in RS. • Proposed a drought risk assessment method that couples probability and loss. • The optimal four-dimensional Copula functions are mainly Gaussian functions. • Hydrological drought risk show an intensification trend in the Yellow River Basin. Global warming has increasingly exacerbated drought issues, and complex hydrologica…
Cold climates, complex hydrology: can a land surface model accurately simulate deep percolation?
Authors: Alireza Amani, Marie‐Amélie Boucher, Alexandre R. Cabral, Vincent Vionnet, Étienne Gaborit
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-2445-2025 · Citations: 1
Matched topics: hydrology, hydrologic model, streamflow, land surface model
Abstract. Cold regions present unique challenges for land surface models in simulating deep percolation or potential groundwater recharge. Previous model evaluation efforts often overlooked these regions and did not account for various sources of uncertainties influencing model performance. This study uses high-resolution integrated lysimeter measurements to comprehensively assess the performance of the Soil, Vegetation, and Snow (SVS) land surface model in a cold climate. SVS performs well i…
Mechanisms of plant extracts in alleviating drought and saline-alkali stress in plants
Authors: Di Feng, Wenjing Zhang, Chunlian Zheng, Guangmu Tang, Yilinuer Adili, Chunhui Ge et al.
Journal: Industrial Crops and Products · DOI: 10.1016/j.indcrop.2025.121346 · Citations: 14
Matched topics: drought
Drought and saline-alkali stress significantly inhibit plant growth. Exogenous plant extracts, an effective approach to mitigate abiotic stresses, have drawn extensive attention. However, a systematic summary of their mechanisms remains incomplete. This review summarizes recent advances in the role of plant extracts in enhancing drought and salt tolerance, including extraction methods such as solvent extraction, ultrasound-assisted extraction, and microwave-assisted extraction, as well as app…
Analyzing Drought: the Impact of Climate Change on Precipitation Patterns in the Shilabati River Basin, West Bengal, India
Authors: Amir Nawaz Khan, Satyabrata Mandal, Lakshminarayan Satpati, Muhammad Mubashar Dogar, H. M. Hasanean, Ahmad M. Salah
Journal: Earth Systems and Environment · DOI: 10.1007/s41748-025-00679-y · Citations: 4
Matched topics: river, drought, climate change
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 2 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.
Understanding the flood seasonality in a Himalayan River Basin under changing climate
Authors: Prachi Singhal, N. K. Goel, Axel Bronstert, Klaus Vormoor, Ankit Agarwal, Manohar Arora
Journal: Theoretical and Applied Climatology · DOI: 10.1007/s00704-025-05585-x · Citations: 2
Matched topics: hydrology, hydrologic model, river, streamflow, flood, seasonal
Abstract not available.
Crack-Engineered Microporous Layer for Mitigating Cathode Flooding in Polymer Electrolyte Fuel Cells
Authors: Young Je Park, Won Young Choi, Seong Hyun Park, Hyunguk Choi, Seo Won Choi, Jy-Young Jyoung et al.
Journal: ACS Energy Letters · DOI: 10.1021/acsenergylett.5c01202 · Citations: 11
Matched topics: water management, flood
Crack engineering within the microporous layer (MPL) of the gas diffusion layer (GDL) has emerged as a promising strategy to alleviate severe cathode flooding in polymer electrolyte fuel cells (PEFCs), especially under high current operation. Here, we report a connected-crack MPL architecture that forms continuous liquid water highways, extending from the catalyst layer (CL) to the GDL backing layer, effectively separating the liquid/gas transport. Three-dimensional reconstruction using X-ray…
Machine Learning and AI for Hydrological Prediction
This week’s 8 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.
An explainable AI approach for interpreting regionally optimized deep neural networks in hydrological prediction
Authors: Farzad Hosseini Hossein Abadi, Cristina Prieto, César Álvarez
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133689 · Citations: 15
Matched topics: hydrology, hydrologic model, runoff, streamflow
• Optimized LSTMs generalize hydrological processes without explicit catchment attributes. • LSTM learning is aligned with our understanding of physical hydrology. • RF and PCA identify key climatic and topographic factors affecting LSTMs’ accuracy. • LSTMs perform accurately in wet catchments and excel in hourly prediction. The interpretation of artificial intelligence (AI) and deep learning (DL) model outcomes remains a central challenge in hydrology and rainfall-runoff modeling. This study…
Accelerating flood warnings by 10 hours: the power of river network topology in AI-enhanced flood forecasting
Authors: Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Xuan Song
Journal: npj natural hazards. · DOI: 10.1038/s44304-025-00083-6 · Citations: 4
Matched topics: hydrology, river, streamflow, flood, hydropower
Abstract The increasing frequency and intensity of floods, exacerbated by climate change, necessitates the development of accurate and timely flood forecasting models. Although AI-based approaches have demonstrated promise, the effectiveness of graph neural networks (GNNs) in modeling the intricate dynamics of river networks remains contested. Despite the natural alignment between river topology and graph-based structures, recent studies reveal that GNNs often underperform in fully utilizing …
Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts
Authors: Simon Moulds, Louise Slater, Louise Arnal, Andrew W. Wood
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-2393-2025 · Citations: 5
Matched topics: hydrology, hydrologic model, streamflow, flood
Abstract. Seasonal streamflow forecasts are an important component of flood risk management. Hybrid forecasting methods that predict seasonal streamflow using machine learning (ML) models driven by climate model outputs are currently underexplored, yet they have some important advantages over traditional approaches using hydrological models. Here we develop a hybrid subseasonal to seasonal (S2S) streamflow forecasting system to predict the monthly maximum daily streamflow up to 4 months ahead…
Machine learning based water quality evolution and pollution identification in reservoir type rivers
Authors: Rui Deng, Tianci Zhu, Weilin Zhou, Fang Liu, Xiaosong Lin
Journal: Environmental Pollution · DOI: 10.1016/j.envpol.2025.126668 · Citations: 9
Matched topics: hydrologic model, river, reservoir
Abstract not available.
Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks
Authors: Muhammad Muneeb Khan, Muhammad Kaleem Sarwar, Muhammad Zafar, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Saif Haider et al.
Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2025.1590346 · Citations: 6
Matched topics: hydrology, streamflow, reservoir
This study, under the context of a global perspective, focuses on the Indus Basin Irrigation System (IBIS) of Pakistan specifically the Jhelum and Chenab rivers inflows. The IBIS operation relies on seasonal planning strategies, informed by forecasts of river inflows at key stations by the Indus River System Authority (IRSA). In this study, Artificial Intelligence (AI) models including Generalized Regression Neural Network (GRNN), and Multi-Layer Feedforward Neural Network (MLFN) along with t…
Coupling crop growth models and machine learning for scalable winter wheat yield estimation across major wheat regions in China
Authors: Jiyuan Xie, Dongyan Zhang, Ning Jin, Tao Cheng, Gang Zhao, Dong Han et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2025.110687 · Citations: 15
Matched topics: hydrologic model
Abstract not available.
A hybrid framework for real-time flash flood forecasting in small ungauged catchments: integrating hydrodynamic simulations with LSTM networks
Authors: Huicong An, Chaojun Ouyang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133688 · Citations: 9
Matched topics: runoff, flood
Abstract not available.
Precise prediction models for floating and land-based Photovoltaics: Comparative analysis for advancing sustainable energy and water management solutions
Authors: Ali Minoofar, Amirreza Zandi, Aslan Gholami
Journal: Renewable Energy · DOI: 10.1016/j.renene.2025.123781 · Citations: 13
Matched topics: water management
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 6 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.
Global mapping of freshwater contamination by pesticides and implications for agriculture and water resource protection
Authors: Yabi Huang, Zijian Li
Journal: iScience · DOI: 10.1016/j.isci.2025.112861 · Citations: 26
Matched topics: water management, surface water
Pesticide residues in freshwater threaten water sustainability, but the global discrepancies in freshwater pesticide contamination remain uncertain. This study collected pesticide concentration data from various countries around the world and adopted a flexible scoring approach to assess contamination within surface freshwater and groundwater. Results revealed significant disparities in contamination among countries. Africa was identified as a priority for freshwater pesticide control as most…
Spatial variation and hydrogeochemical characterization of groundwater in Vallanadu region: insights from water quality index and statistical analysis
Authors: D. Manimaran, S. Richard Abishek, V. Stephen Pitchaimani, A. Antony Ravindran, M. Soniyamary, Shankar Karuppannan
Journal: Discover Sustainability · DOI: 10.1007/s43621-025-01381-9 · Citations: 12
Matched topics: hydrology, runoff, earth system model
The present study aims to evaluate the seasonal variations of geochemistry and groundwater quality in the Vallanadu region. Groundwater samples collected during the pre-monsoon and post-monsoon periods were analyzed using spatial analysis, the Water Quality Index (WQI), rock-water interaction, Principal Component Analysis (PCA), and Hierarchical Cluster Analysis (HCA). The WQI analysis revealed a significant deterioration in groundwater quality, with 60% of pre-monsoon samples classified as “…
Integrated assessment of groundwater hydrogeochemistry and quality using multivariate statistical analysis, self-organizing maps, and water quality indices in District Bagh, AJK, Pakistan
Authors: Usman Basharat, Wenjing Zhang, Arshad Mehmood Abbasi, Sehrish Mahroof, Cuihong Han, Shoukat Husain Khan et al.
Journal: Ecotoxicology and Environmental Safety · DOI: 10.1016/j.ecoenv.2025.118515 · Citations: 19
Matched topics: irrigation
(r = 0.98), highlighting their significant roles in groundwater’s ionic content. Geochemical interactions, salinity, ion exchange, and anthropogenic activities are identified as essential factors influencing groundwater quality using factor analysis. Hydrogeochemistry is significantly influenced by lithology: halite dissolution Cl⁻ input (Na⁺/Cl⁻ = 1.039); rock formation promotes silicate weathering and Na⁺ release (Na⁺/Cl⁻ > 1); gypsum dissolution (Ca²⁺/SO₄²⁻ = 12.085); and carbonate weather…
Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems
Authors: Lei Jia, Yan Pei
Journal: Machines · DOI: 10.3390/machines13060503 · Citations: 18
Matched topics: hydropower
Multi-agent reinforcement learning (MARL) has demonstrated significant application potential in addressing cooperative control, policy optimization, and task allocation problems in complex systems. This paper focuses on its applications and development in water environmental systems, providing a systematic review of the theoretical foundations of multi-agent systems and reinforcement learning and summarizing three representative categories of mainstream MARL algorithms. Typical control scenar…
Enhancing water scarcity resilience in Egypt through machine learning-driven phenological crop mapping and water use efficiency analysis
Authors: Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Aqil Tariq, Rejoice Thomas, Cyril Rakovski et al.
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2025.104668 · Citations: 7
Matched topics: water management, land surface model, surface water
• Phenology-informed machine learning for crop mapping in Egypt. • Optimized climate impact assessments on crop water use efficiency. • Defining vapor pressure deficit threshold for crop growth. • Projected key features in regulating crop water use efficiency future. Agriculture forms the backbone of Egypt’s economy, with the Nile Valley and Delta serving as key production zones for crops like wheat, rice, and clover. However, the sector faces mounting pressure from water scarcity, as it depe…
Comparison of eutrophication assessment for the Nitrates and Water Framework Directives: Impacts and opportunities for streamlined approaches
Authors: Νikolaos P. Nikolaidis, Sandra Poikāne, Fayçal Bouraoui, Fuensanta Salas-Herrero, Gary Free, Ioanna Varkitzi et al.
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113375 · Citations: 11
Matched topics: water management, surface water
• Compared eutrophication criteria between Nitrate and the Water Framework Directives. • Substantial inconsistencies exist among countries in the thresholds for nutrients for both directives. • Need to streamline criteria for consistent implementation of assessment and management measures. Eutrophication of surface water bodies is the most significant water quality problem worldwide. The European Union (EU) has developed an extensive regulatory and policy framework to protect the environment …
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.
Metal pollution, eco-health risks and source apportionment in coastal sediments of Samsun, Türkiye: A receiving zone for the Kızılırmak and Yeşilırmak rivers
Authors: Memet Varol, Fikret Ustaoğlu, Cem Tokatlı
Journal: Environmental Research · DOI: 10.1016/j.envres.2025.122113 · Citations: 22
Matched topics: river, land surface model
Abstract not available.
Nanobiomaterials-enabled sensors for heavy metal detection and remediation in wastewater systems: advances in synthesis, characterization, and environmental applications
Authors: Lata Deso Abo, Hirpha Adugna Areti, Mani Jayakumar, Magesh Rangaraju, S. Subashini
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.105694 · Citations: 17
Matched topics: runoff, surface water
Currently, heavy metal pollution in water and wastewater has garnered significant attention due to its adverse effects on environmental and human health. Conventional detection and remediation techniques often fall short because of their complexity, cost, and limited efficiency. In response, nanobiomaterials (NBMs)-based sensors have emerged as promising alternatives, offering high sensitivity, specificity, and rapid detection of trace levels of heavy metals such as lead, cadmium, and mercury…
Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting
Authors: P. Abbaszadeh, Fatemeh Gholizadeh, K. Gavahi, H. Moradkhani
Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-29-2407-2025 · Citations: 4
Matched topics: hydrologic model, river, streamflow, land surface model
Abstract. The Hybrid Ensemble and Variational Data Assimilation framework for Environmental Systems (HEAVEN) is a method developed to enhance hydrologic model predictions while accounting for different sources of uncertainties involved in various layers of model simulations. While the effectiveness of this data assimilation in forecasting streamflow has been proven in previous studies, its potential to improve flood forecasting during extreme events remains unexplored. This study aims to demo…
Baltic hydro-climatic data: a regional data synthesis for the baltic sea drainage basin
Authors: Mohanna Zarei, Georgia Destouni
Journal: Frontiers in Earth Science · DOI: 10.3389/feart.2025.1595943 · Citations: 2
Matched topics: hydrology, hydrologic model, streamflow, land surface model, earth system model
Understanding and predicting water flows and storage changes on land is crucial for addressing waterrelated scientific and practical challenges across disciplines and geographical regions and scales. The degree to which various hydrological, environmental, ecological, biogeochemical, geological, atmospheric, and climate sciences consistently and realistically capture and represent analogous parts of the terrestrial water system and its spatio-temporal dynamics remains largely unknown and unce…
Machine Learning and Morphometric Analysis for Runoff Dynamics: Enhancing Flood Management and Catchment Prioritization in Bayelsa, Nigeria
Authors: Lisa Erebi Jonathan, Ayebawanaemi Geraldine Winston, Prince Chukwuemeka
Journal: Journal of Computational Systems and Applications · DOI: 10.63623/kkx1m906 · Citations: 9
Matched topics: runoff, flood, earth system model
Flooding is a recurring environmental hazard with devastating socio-economic and ecological impacts, especially in vulnerable regions like Bayelsa State, Nigeria. The state’s low-lying terrain, dense river networks, and poor drainage infrastructure exacerbate its flood susceptibility. This study employs morphometric analysis to assess flood-prone areas across major river basins using Shuttle Radar Topographic Mission (SRTM) data, Geographic Information Systems (GIS), and remote sensing techni…
Trends and purposes of European river monitoring and restoration
Authors: Maarten Wynants, Lukas Hallberg, Laura-Ainhoa Prischl, John Livsey, Magdalena Bieroza
Journal: Environmental Science & Policy · DOI: 10.1016/j.envsci.2025.104130 · Citations: 4
Matched topics: hydrology, river, streamflow, hydropower
This study provides the first geospatial analysis of the trends and uptake of European river monitoring and restoration. European monitoring targets rivers draining agricultural and urban land, which leads to geospatial biases due to the co-occurrence with soils, topography, and river orders. Most notably, intermittent rivers and ephemeral streams are underrepresented due to lower monitoring intensities in Southern Europe, headwaters, and catchments with steeper slopes or less arable soils. I…
Streamflow sensitivity regimes of alpine catchments: seasonal relationships with elevation, temperature, and glacier cover
Authors: Markus Weiler, Sebastian Gnann, Kerstin Stahl
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ade26c · Citations: 2
Matched topics: hydrologic model, streamflow, seasonal, hydropower
Abstract Alpine streams supply water to mountains and downstream regions, but their sensitivity to climatic variability is complex. Here, we derive streamflow sensitivity regimes from long-term observations in the Swiss Alps and analyse their potential controls. For each week of the year, we estimated absolute and relative sensitivities of streamflow in response to changes in temperature, precipitation, and storage. At high elevations with extensive glacier cover, weekly temperature and preci…
Streamflow prediction based on data-scarce river-aquifer dynamics estimated by a simplified modelling framework in a dryland catchment
Authors: Arthur Jordan Azevedo Toné, Alexandre Cunha Costa, Mário Ubirajara Gonçalves Barros, Iran Eduardo Lima Neto
Journal: Modeling Earth Systems and Environment · DOI: 10.1007/s40808-025-02465-1 · Citations: 2
Matched topics: hydrologic model, runoff, streamflow, water management
Abstract not available.
Recent advances in graphene oxide and metal oxides composites synthesis and their applications in wastewater treatment: Removal of dyes, heavy metals, and pharmaceutical contaminants
Authors: Muhammad Tariq, Zawar Hussain, Lizhen Gao, Muhammad Asif, S. Hanif, Zhiqin Qin et al.
Journal: Separation and Purification Technology · DOI: 10.1016/j.seppur.2025.133944 · Citations: 16
Matched topics: surface water
Abstract not available.
Impacts of large reservoirs on downstream lake hydrological regimes in complex river–lake systems: A case study of the Three Gorges Reservoir and Dongting Lake
Authors: Xudong Zhang, Liang Bai, Zongxue Xu, Cong Jiang, Hao Chen, Chenlei Ye et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133694 · Citations: 5
Matched topics: hydrologic model, river, reservoir
Abstract not available.
Effects of vegetation cover and rock embedding landscape types and configurations on regulating runoff generation and sediment yields in karst slope under simulated experiment
Authors: Linlv Xiao, Rui Li, Feiyang Cai, Panpan Wu, Lu Pan
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133681 · Citations: 5
Matched topics: runoff, land surface model, surface water
Abstract not available.
Effects of flow-guiding block on water transport and performance in modified PEMFC gas flow channel
Authors: Lirong Fu, Baoshuo Yu, Shousheng Wu, Jinyi Liu, Huadong Lin, Na Qiu
Journal: Fuel · DOI: 10.1016/j.fuel.2025.135914 · Citations: 9
Matched topics: water management, surface water
Abstract not available.
Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments
Authors: Meiqi Liu, Ernis Saračević, Thomas James Oudega, Ali A. A. Obeid, Zsuzsanna Nagy-Kovács, Balázs László et al.
Journal: Environmental Sciences Europe · DOI: 10.1186/s12302-025-01141-6 · Citations: 4
Matched topics: runoff, water management, surface water
Abstract Background Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill l…
Climate-change-induced seismicity: The recent onset of seasonal microseismicity at the Grandes Jorasses, Mont Blanc Massif, France/Italy
Authors: Verena Simon, Toni Kraft, Jean‐Christophe Maréchal, Agnès Helmstetter, Tobias Diehl
Journal: Earth and Planetary Science Letters · DOI: 10.1016/j.epsl.2025.119372 · Citations: 4
Matched topics: runoff, seasonal, climate change
Modeling studies indicate that the geosphere can dynamically respond to climate change, increasing geological and geomorphological hazards. One such hazard is climate-driven seismicity due to hydrological changes, though observational evidence supporting this phenomenon remains scarce. We present the first dataset linking climate-change-induced snow/glacier melt to increased seismic hazard. Using a template-matching-enhanced catalog (2006–2022), we analyze the ongoing Grandes Jorasses Earthqu…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 955 |
| After deduplication | 694 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 644 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Hydrology | 4 |
| Hydrology and earth system sciences | 2 |
| Ecological Indicators | 2 |
| Colloids and Surfaces A Physicochemical and Engineering Aspects | 1 |
| Journal of Rock Mechanics and Geotechnical Engineering | 1 |
| iScience | 1 |
| Nature Communications | 1 |
| Environmental Research | 1 |
| Journal of Hydrologic Engineering | 1 |
| Theoretical and Applied Climatology | 1 |
| Applied Water Science | 1 |
| npj natural hazards. | 1 |
| Global Environmental Change | 1 |
| Results in Engineering | 1 |
| Discover Sustainability | 1 |
| Hydrology and Earth System Sciences | 1 |
| iRASD Journal of Energy & Environment | 1 |
| Frontiers in Earth Science | 1 |
| Earth System Dynamics | 1 |
| Sustainable Development | 1 |
| Ecotoxicology and Environmental Safety | 1 |
| Environmental Pollution | 1 |
| Journal of Computational Systems and Applications | 1 |
| Environmental Science & Policy | 1 |
| Machines | 1 |
| Geophysical Research Letters | 1 |
| Cities | 1 |
| Frontiers in Sociology | 1 |
| New Phytologist | 1 |
| Land | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Environmental Research Letters | 1 |
| Modeling Earth Systems and Environment | 1 |
| Separation and Purification Technology | 1 |
| ADVANCES IN GEO-ENERGY RESEARCH | 1 |
| ACS Energy Letters | 1 |
| Earth System Science Data | 1 |
| Frontiers in Environmental Science | 1 |
| Agricultural and Forest Meteorology | 1 |
| Industrial Crops and Products | 1 |
| Fuel | 1 |
| Earth Systems and Environment | 1 |
| Environmental Sciences Europe | 1 |
| Earth and Planetary Science Letters | 1 |
| Renewable Energy | 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