Weekly Literature Review

Week 4 · January 20–January 26, 2025

50 relevant papers found across 6 themes

Executive Summary

This week’s review covers 50 papers across 6 themes. The most cited paper examines Predicting land use and land cover changes for sustainable land management using, with 99 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. Monitoring and Modeling the Soil‐Plant System Toward Understanding Soil Health
    2. Predicting changes in agricultural yields under climate change scenarios and their implications for global food security
    3. Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake
    4. Transition from irrigation with untreated wastewater to treated wastewater and associated benefits and risks
    5. Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation
    6. Harnessing metabolomics for enhanced crop drought tolerance
    7. Root exudates from drought-affected plants increase soil respiration across a range of grassland species
    8. Projected runoff declines from plant physiological effects on precipitation
    9. Cost-effective adaptations increase rice production while reducing pollution under climate change
    10. Multifaceted changes in water availability with a warmer climate
    11. Deep reinforcement learning for multiple reservoir operation planning in the Chao Phraya River Basin
    12. Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands
    13. The Role of Leaf Area Changes Within Plant CO 2 Physiological Impacts on the Global Hydrological Cycle
    14. Evaluation of four gridded climate products for streamflow and drought simulations in the Kelantan River Basin, Malaysia
    15. Underground hydrogen storage in sandstone reservoirs: Effects of geochemical reactivity of hydrogen on reservoir performance
    16. Potential of long-term satellite observations and reanalysis products for characterising soil drying: trends and drought events
    17. Impacts of irrigation expansion on moist-heat stress based on IRRMIP results
  3. Flood Risk Assessment and Extreme Precipitation
    1. SWOT Reveals How the 2024 Disastrous Flood in South Brazil Was Intensified by Increased Water Slope and Wind Forcing
    2. Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran
    3. Multi-scale hydraulic graph neural networks for flood modelling
    4. Recent advances and future challenges in urban pluvial flood modelling
  4. Machine Learning and AI for Hydrological Prediction
    1. Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques
    2. Robust fault detection and classification in power transmission lines via ensemble machine learning models
    3. Revealing multiscale and nonlinear effects of urban green spaces on heat islands in high-density cities: Insights from MSPA and machine learning
    4. Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation
    5. Advanced machine learning models for robust prediction of water quality index and classification
    6. Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability
    7. Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates
    8. Streamflow prediction using Long Short-Term Memory networks: a case study at the Kratie Hydrological Station, Mekong River Basin
    9. Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling
    10. Dengue dynamics, predictions, and future increase under changing monsoon climate in India
    11. A hybrid time series and physics-informed machine learning framework to predict soil water content
    12. Quantitative assessment of the GLOF risk along China-Nepal transboundary basins by integrating remote sensing, machine learning, and hydrodynamic model
    13. Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis
  5. Hydropower and Renewable Energy-Water Systems
    1. Multilayer entropy-weighted TOPSIS method and its decision-making in ecological operation during the subsidence period of the Three Gorges Reservoir
    2. Resolving Hydropower Plant Construction Disputes through a Standing Dispute Board: A Case Study of Asahan 3 HEPP
  6. Water Management, Irrigation, and Groundwater
    1. Silver single atoms and nanoparticles on floatable monolithic photocatalysts for synergistic solar water disinfection
    2. Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques
    3. Magnetic nanocomposites: innovative adsorbents for antibiotics removal from aqueous environments–a narrative review
    4. Ecological consequences of antibiotics pollution in sub-Saharan Africa: Understanding sources, pathways, and potential implications
    5. Runoff and accumulation of microplastics derived from polymer-coated fertilizer in japanese paddy fields.
    6. Effects of alternating wet and dry irrigation regimes on rice growth and physiology characteristics in southeast China
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Towards the next generation of Geospatial Artificial Intelligence
    2. Uncovering the drivers, impacts, and urgent solutions to soil erosion in the Ethiopian Highlands: a global perspective on local challenges
    3. Using Machine Learning to Predict Suspended Sediment Transport under Climate Change
    4. State updating of the Xin’anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
    5. Unveiling the hidden connections: Using explainable artificial intelligence to assess water quality criteria in nine giant rivers
    6. Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest
    7. Spatial and temporal (annual and decadal) trends of metal(loid) concentrations and loads in an acid mine drainage-affected river
    8. Environmental impacts of urban growth and land use changes in tropical cities
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 17 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.

Monitoring and Modeling the Soil‐Plant System Toward Understanding Soil Health

Authors: Yijian Zeng, Anne Verhoef, Harry Vereecken, Eyal Ben‐Dor, A. Veldkamp, Liz J. Shaw et al.

Journal: Reviews of Geophysics · DOI: 10.1029/2024rg000836 · Citations: 43

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

Abstract The soil health assessment has evolved from focusing primarily on agricultural productivity to an integrated evaluation of soil biota and biotic processes that impact soil properties. Consequently, soil health assessment has shifted from a predominantly physicochemical approach to incorporating ecological, biological and molecular microbiology indicators. This shift enables a comprehensive exploration of soil microbial community properties and their responses to environmental changes…

Predicting changes in agricultural yields under climate change scenarios and their implications for global food security

Authors: Christine Li, James Camac, Andrew P. Robinson, Tom Kompas

Journal: Scientific Reports · DOI: 10.1038/s41598-025-87047-y · Citations: 41

Matched topics: climate change

Climate change has direct impacts on current and future agricultural productivity. Statistical meta-analysis models can be used to generate expectations of crop yield responses to climatic factors by pooling data from controlled experiments. However, methodological challenges in performing these meta-analyses, together with combined uncertainty from various sources, make it difficult to validate model results. We present updates to published estimates of crop yield responses to projected temp…

Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake

Authors: Anna‐Maria Virkkala, Brendan M. Rogers, Jennifer D. Watts, Kyle A. Arndt, Stefano Potter, Isabel Wargowsky et al.

Journal: Nature Climate Change · DOI: 10.1038/s41558-024-02234-5 · Citations: 37

Matched topics: hydrology, earth system model

Abstract The Arctic–Boreal Zone is rapidly warming, impacting its large soil carbon stocks. Here we use a new compilation of terrestrial ecosystem CO 2 fluxes, geospatial datasets and random forest models to show that although the Arctic–Boreal Zone was overall an increasing terrestrial CO 2 sink from 2001 to 2020 (mean ± standard deviation in net ecosystem exchange, −548 ± 140 Tg C yr −1 ; trend, −14 Tg C yr −1 ; P < 0.001), more than 30% of the region was a net CO 2 source. Tundra region…

Transition from irrigation with untreated wastewater to treated wastewater and associated benefits and risks

Authors: B. Heyde, M. Braun, Leila Soufi, K. Lüneberg, Sara Gallego, W. Amelung et al.

Journal: npj Clean Water · DOI: 10.1038/s41545-025-00438-6 · Citations: 36

Matched topics: irrigation

Abstract Investments in “Clean water and sanitation” drive a transition from irrigation with untreated to irrigation with treated wastewater. While this transition reduces many health risks, it may decrease crop yields, and soil carbon storage, cause a release of accumulated pollutants from soils, and increase the spread of antibiotic resistance in the environment. A holistic view on multiple SDGs is necessary to maximize benefits and minimize risks of wastewater treatment for irrigation.

Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation

Authors: Xinyi Zhang, Xiaoyue Wang, C. Zohner, Josep Peňuelas, Yang Li, Xiuchen Wu et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-56159-4 · Citations: 30

Matched topics: drought, earth system model

Precipitation is an important factor influencing the date of foliar senescence, which in turn affects carbon uptake of terrestrial ecosystems. However, the temporal patterns of precipitation frequency and its impact on foliar senescence date remain largely unknown. Using both long-term carbon flux data and satellite observations across the Northern Hemisphere, we show that, after excluding impacts from of temperature, radiation and total precipitation by partial correlation analysis, declinin…

Harnessing metabolomics for enhanced crop drought tolerance

Authors: Ali Raza, Muhammad Anas, Savita Bhardwaj, Rakeeb Ahmad Mir, Sidra Charagh, Minhas Elahi et al.

Journal: The Crop Journal · DOI: 10.1016/j.cj.2025.01.001 · Citations: 37

Matched topics: drought

Global crop productivity faces a significant threat from climate change-induced drought stress (DS), which is vital for sustainable agriculture and global food security. Uncovering DS adaptation and tolerance mechanisms in crops is necessary to alleviate climate challenges. Innovative plant breeding demands revolutionary approaches to develop stress-smart plants. Metabolomics, a promising field in plant breeding, offers a predictive tool to identify metabolic markers associated with plant per…

Root exudates from drought-affected plants increase soil respiration across a range of grassland species

Authors: Fangbin Hou, Leonardo Hinojosa, Eileen Enderle, Boris Jansen, Elly Morriën, Franciska T. de Vries

Journal: Soil Biology and Biochemistry · DOI: 10.1016/j.soilbio.2025.109731 · Citations: 30

Matched topics: drought

Root exudates play an important role in ecosystem carbon (C) cycling. Drought can alter the quality and quantity of root exudation, but it is not clear how root traits affect these changes, and what the implications are for soil C cycling. Seventeen common grassland species of three functional groups were subjected to a two-week drought followed by one week of recovery, after which root exudates were collected and analysed for their total C content, as well as for the respiration they trigger…

Projected runoff declines from plant physiological effects on precipitation

Authors: Corey Lesk, J. Winter, J. Mankin

Journal: Nature Water · DOI: 10.1038/s44221-024-00361-z · Citations: 17

Matched topics: runoff, streamflow, earth system model

The impact of plants on runoff under high atmospheric CO2 is a major uncertainty for future water resources. Theory and Earth system models (ESMs) suggest that stricter plant stomatal regulation under high CO2 will reduce transpiration, potentially boosting runoff. Yet, across a 12-member ensemble of idealized ESM simulations that isolate plant responses to CO2, we show that lower transpiration robustly enhances runoff over only 5% of modelled global land area. Precipitation changes are five …

Cost-effective adaptations increase rice production while reducing pollution under climate change

Authors: Yujing Gao, Jinglan Cui, Xiuming Zhang, Gerrit Hoogenboom, Daniel Wallach, Yuqi Huang et al.

Journal: Nature Food · DOI: 10.1038/s43016-024-01113-8 · Citations: 28

Matched topics: climate change

Abstract not available.

Multifaceted changes in water availability with a warmer climate

Authors: Baohua Gu, Sha Zhou, Bofu Yu, Kirsten L. Findell, Benjamin R. Lintner

Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-025-00913-4 · Citations: 14

Matched topics: runoff, streamflow, surface water

Climate warming alters spatial and seasonal patterns of surface water availability (P-E), affecting runoff and terrestrial water storage. However, a comprehensive assessment of these changes across various hydroclimates remains lacking. We develop a multi-model ensemble approach to classify global terrestrial hydroclimate into four distinct regimes based on the mean and seasonality of P-E. P-E is projected to become increasingly variable across space and time. Wet regions with low and high se…

Deep reinforcement learning for multiple reservoir operation planning in the Chao Phraya River Basin

Authors: Yutthana Phankamolsil, Areeya Rittima, Wudhichart Sawangphol, Jidapa Kraisangka, Allan Sriratana Tabucanon, Yutthana Talaluxmana et al.

Journal: Modeling Earth Systems and Environment · DOI: 10.1007/s40808-024-02265-z · Citations: 9

Matched topics: river, streamflow, reservoir, hydropower

Abstract This study demonstrates application of Deep Deterministic Policy Gradient (DDPG)-based algorithm to provide comprehensive and flexible plans for reservoir operation planning of the multiple reservoir system in the Chao Phraya River Basin (CPYRB), Thailand aiming to mitigate flood and drought risks in the region. The multi-agent-based Deep Reinforcement Learning (DRL) model is accordingly constructed considering 7-D predicted inflow, reservoir water released from adjacent reservoir, d…

Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands

Authors: Emily K. Bechtold, Jared Ellenbogen, Jorge A. Villa, Djennyfer Karolaine de Melo Ferreira, Angela Oliverio, Joel E. Kostka et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-56133-0 · Citations: 23

Matched topics: earth system model

Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 datab…

The Role of Leaf Area Changes Within Plant CO 2 Physiological Impacts on the Global Hydrological Cycle

Authors: Alana S. Cordak, Gabriel J. Kooperman, Claire M. Zarakas, Abigail L. S. Swann, Charles D. Koven

Journal: Geophysical Research Letters · DOI: 10.1029/2024gl110904 · Citations: 8

Matched topics: hydrologic model, runoff, streamflow, earth system model

Abstract Rising atmospheric CO 2 concentrations enhance greenhouse warming and drive changes to plant physiology, leading to innumerable climate impacts. This study explores the impacts of plant responses on hydrological cycling at 2x preindustrial CO 2 concentrations by analyzing simulations that isolate plant physiological effects using the Community Earth System Model versions 1 and 2. We find that leaf area growth increases canopy evaporation, which offsets transpiration declines, and dam…

Evaluation of four gridded climate products for streamflow and drought simulations in the Kelantan River Basin, Malaysia

Authors: Hongrong Du, Mou Leong Tan, Kwok Pan Chun, Zhang Fei

Journal: Geocarto International · DOI: 10.1080/10106049.2025.2453615 · Citations: 7

Matched topics: river, streamflow, drought

Gridded climate products (GCPs) play a vital role in hydro-climatic modeling by overcoming the limitations of gauge data. This study compares the performance of the recently launched NASA POWER and ERA5-Land, with CHIRPS and APHRODITE, in simulating streamflow and drought from 1985 to 2015 in the Kelantan River Basin, Malaysia. When the SWAT+ model was incorporated with the original GCPs, APHRODITE demonstrated the best performance in monthly streamflow simulations, achieving Nash-Sutcliffe E…

Underground hydrogen storage in sandstone reservoirs: Effects of geochemical reactivity of hydrogen on reservoir performance

Authors: Chaojie Cheng, Benjamin Busch, Agnes Kontny, Christoph Hilgers

Journal: International Journal of Hydrogen Energy · DOI: 10.1016/j.ijhydene.2025.01.330 · Citations: 19

Matched topics: reservoir

Underground hydrogen storage in porous rocks is a promising method to stabilize renewable energy fluctuations. However, data on the geochemical reactivity of hydrogen with reservoir rocks and its potential effects on reservoir performance are limited. This study investigates the geochemical reactivity of hydrogen with Buntsandstein reservoir sandstones from northern Germany, collected at a depth of about 2.5 km. Experiments were performed at 100 °C and 150 bar hydrogen partial pressure for fo…

Authors: Martin Hirschi, Pietro Stradiotti, Bas Crezee, Wouter Dorigo, Sonia I. Seneviratne

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-397-2025 · Citations: 19

Matched topics: drought

Abstract. Soil drying has multiple adverse impacts on the environment, society, and economy. Thus, it is crucial to monitor and characterise related drought events and to understand how underlying geophysical trends may affect them. Here, we compare the ability of long-term satellite observations and state-of-the-art reanalysis products to characterise soil drying. We consider the European Space Agency Climate Change Initiative (ESA CCI) remote-sensing surface soil moisture products (encompas…

Impacts of irrigation expansion on moist-heat stress based on IRRMIP results

Authors: Yi Yao, Agnès Ducharne, Benjamin I. Cook, Steven De Hertog, Kjetil Schanke, Pedro F. Arboleda-Obando et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-56356-1 · Citations: 13

Matched topics: irrigation, earth system model

century, affecting climate via water, energy, and biogeochemical changes. Previous assessments of these effects predominantly relied on a single Earth System Model, and therefore suffered from structural model uncertainties. Here we quantify the impacts of historical irrigation expansion on climate by analysing simulation results from six Earth system models participating in the Irrigation Model Intercomparison Project (IRRMIP). Results show that irrigation expansion causes a rapid increase i…

Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 4 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.

SWOT Reveals How the 2024 Disastrous Flood in South Brazil Was Intensified by Increased Water Slope and Wind Forcing

Authors: Leonardo Laipelt, Rodrigo Cauduro Dias de Paiva, Fernando Mainardi Fan, Walter Collischonn, Fabrice Papa, Anderson Ruhoff

Journal: Geophysical Research Letters · DOI: 10.1029/2024gl111287 · Citations: 24

Matched topics: hydrology, flood, surface water

Abstract Climate change is expected to increase the frequency and intensity of flooding, emphasizing the need to better understand these events. Satellite observations provide essential information, and the recent launch of SWOT offers new opportunities to investigate flood dynamics. Here, we use SWOT observations to detect significant hydrologic changes during an unprecedented 2024 flood in southern Brazil. In the Jacuí and Guaíba Rivers, water slopes increased dramatically–up to 11 times (f…

Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran

Authors: Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

Journal: Scientific Reports · DOI: 10.1038/s41598-025-85908-0 · Citations: 21

Matched topics: hydrology, river, streamflow, water management

and pH exerting negative (inverse) effects. Unlike correlations, causal relationships demonstrate directional and often unequal influences, highlighting Mg as a critical driver of TDS levels. This novel application of ML-based causal inference in water quality research provides a cost-effective and time-efficient alternative to traditional experimental methods. The results underscore the potential of ML-driven causal analysis to guide water resource management and policy-making. By identifyin…

Multi-scale hydraulic graph neural networks for flood modelling

Authors: Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, Riccardo Taormina

Journal: Natural hazards and earth system sciences · DOI: 10.5194/nhess-25-335-2025 · Citations: 21

Matched topics: hydrology, flood

Abstract. Deep-learning-based surrogate models represent a powerful alternative to numerical models for speeding up flood mapping while preserving accuracy. In particular, solutions based on hydraulic-based graph neural networks (SWE-GNNs) enable transferability to domains not used for training and allow the inclusion of physical constraints. However, these models are limited due to four main aspects. First, they cannot model rapid differences in flow propagation speeds; secondly, they can fa…

Recent advances and future challenges in urban pluvial flood modelling

Authors: Luís Cea, Esteban Sañudo, Carlos Montalvo, Juan F. Farfán, Jerónimo Puertas, Paolo Tamagnone

Journal: Urban Water Journal · DOI: 10.1080/1573062x.2024.2446528 · Citations: 24

Matched topics: flood

Abstract not available.

Machine Learning and AI for Hydrological Prediction

This week’s 13 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.

Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Authors: Zainab Tahir, Muhammad Tahir Haseeb, Syed Amer Mahmood, Saira Batool, M. Abdullah-Al-Wadud, Sajid Ullah et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-87796-w · Citations: 99

Matched topics: hydrology, water management

This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is crucial for mitigating adverse environmental impacts and promoting sustainable development. The main goal is to evaluate historical LULC changes from 1994 to 2024 and forecast future trends for 2034 and 2044 utilizing the CA-Markov hybrid model combined with GIS me…

Robust fault detection and classification in power transmission lines via ensemble machine learning models

Authors: Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-86554-2 · Citations: 58

Matched topics: hydropower

Transmission lines are vital for delivering electricity over long distances, yet they face reliability challenges due to faults that can disrupt power supply and pose safety risks. This research introduces a novel approach for fault detection and classification by analyzing voltage and current patterns across transmission line phases. Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms-including Random Forest (RF), K-Nearest Neighbors (KNN), and …

Revealing multiscale and nonlinear effects of urban green spaces on heat islands in high-density cities: Insights from MSPA and machine learning

Authors: Qikang Zhong, Zhe Li, Jiawei Zhu, Chao Yuan

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2025.106173 · Citations: 54

Matched topics: land surface model

Abstract not available.

Enhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation

Authors: Jamal Hassan Ougahi, John S. Rowan

Journal: Scientific Reports · DOI: 10.1038/s41598-025-87187-1 · Citations: 36

Matched topics: hydrology, hydrologic model, runoff, streamflow

Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative ‘computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities…

Advanced machine learning models for robust prediction of water quality index and classification

Authors: Abdessamad Elmotawakkil, Nourddine Enneya, Suraj Kumar Bhagat, Mohamed Ouda, Vikram Kumar

Journal: Journal of Hydroinformatics · DOI: 10.2166/hydro.2025.290 · Citations: 37

Matched topics: hydrology, water management

ABSTRACT This study presents an in-depth analysis of machine learning (ML) techniques for predicting water quality index and water quality classification using a dataset containing water quality metrics such as temperature, specific conductance, salinity, dissolved oxygen, depth, pH, and turbidity from multiple monitoring stations. Data preprocessing included imputation for missing values, feature scaling, and categorical encoding, ensuring balanced input features. This research evaluated art…

Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability

Authors: Sajid Ullah, Xiuchen Qiao, Aqil Tariq

Journal: Scientific Reports · DOI: 10.1038/s41598-025-87234-x · Citations: 41

Matched topics: land surface model

The increasing trend in land surface temperature (LST) and the formation of urban heat islands (UHIs) has emerged as a persistent challenge for urban planners and decision-makers. The current research was carried out to study the land use and land cover (LULC) changes and associated LST patterns in the planned city (Kabul) and the unplanned city (Jalalabad), Afghanistan, using Support Vector Machine (SVM) and Landsat data from 1998 to 2018. Future changes in LULC and LST were predicted for 20…

Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates

Authors: Siham Acharki, Ali Raza, Dinesh Kumar Vishwakarma, Mina Amharref, Abdes Samed Bernoussi, Sudhir Kumar Singh et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-024-83859-6 · Citations: 36

Matched topics: hydrology, water management

values (0.95-0.97) and low RMSE (0.32-0.35 mm/day) and RRSE (8.14-10.30%). The XGBoost-LightGBM and RF-LightGBM hybrid models exhibited the highest accuracy (average RMSE of 0.015-0.097 mm/day), underscoring the potential of hybrid ML models for RET estimation in subhumid and semi-arid regions, thereby enhancing water resource management and irrigation scheduling.

Streamflow prediction using Long Short-Term Memory networks: a case study at the Kratie Hydrological Station, Mekong River Basin

Authors: Nhu Y Nguyen, Dinh Kha Dang, Luu Van Ninh, Vu Tuan Anh, Trần Ngọc Anh

Journal: Journal of Hydroinformatics · DOI: 10.2166/hydro.2025.276 · Citations: 12

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

ABSTRACT Accurate streamflow prediction is vital for hydropower operations, agricultural planning, and water resource management. This study assesses the effectiveness of Long Short-Term Memory (LSTM) networks in daily streamflow prediction at the Kratie station, investigate different network structures and hyperparameters to optimize predictive accuracy while considering computational efficiency. Our findings underscore the significance of LSTM models in addressing streamflow prediction chal…

Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling

Authors: Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick Kiplangat Ronoh, Stephen E. Moore

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.104079 · Citations: 28

Matched topics: hydrologic model, runoff

Accurately simulating river discharge remains a challenge. Hybrid models combining hydrological models with machine learning improve discharge simulation and offer better interpretability than standalone machine learning models. However, the commonly used models are deterministic. This study introduces an innovative extension to stochastic hydrological models, offering a novel combination that has not been previously explored. The proposed approach predicts discharge by integrating the simula…

Dengue dynamics, predictions, and future increase under changing monsoon climate in India

Authors: Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, Anand Karipot, Amir Sapkota, Panini Dasgupta et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-025-85437-w · Citations: 32

Matched topics: climate change

The global burden of dengue disease is escalating under the influence of climate change, with India contributing a third of the total. The non-linearity and regional heterogeneity inherent in the climate-dengue relationship and the lack of consistent data makes it difficult to make useful predictions for effective disease prevention. The current study investigates these non-linear climate-dengue links in Pune, a dengue hotspot region in India with a monsoonal climate and presents a model fram…

A hybrid time series and physics-informed machine learning framework to predict soil water content

Authors: Amirsalar Bagheri, Andres Patrignani, Behzad Ghanbarian, Davood Babaei Pourkargar

Journal: Engineering Applications of Artificial Intelligence · DOI: 10.1016/j.engappai.2025.110105 · Citations: 21

Matched topics: hydrologic model

Abstract not available.

Quantitative assessment of the GLOF risk along China-Nepal transboundary basins by integrating remote sensing, machine learning, and hydrodynamic model

Authors: Manish Raj Gouli, Kaiheng Hu, Nitesh Khadka, Shuang Liu, Shu Yifan, Madhav Adhikari et al.

Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2025.105231 · Citations: 19

Matched topics: hydropower

Abstract not available.

Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis

Authors: Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2024.1464241 · Citations: 19

Matched topics: hydropower

Introduction Climate change isone of the major challenges facing the world today, causing frequent extreme weather events that significantly impact human production, life, and the ecological environment. Traditional climate prediction models largely rely on the simulation of physical processes. While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships. Methods In light o…

Hydropower and Renewable Energy-Water Systems

The integration of hydropower with renewable energy systems is addressed by 2 papers this week, focusing on optimal capacity configuration, generation prediction, and climate change adaptation strategies for hybrid energy-water systems. Studies demonstrate the complementary potential of hydro-wind-solar systems and explore machine learning approaches for hydropower generation forecasting.

Multilayer entropy-weighted TOPSIS method and its decision-making in ecological operation during the subsidence period of the Three Gorges Reservoir

Authors: Xueshan Ai, Yangxin Yu, Zhiming Liang, Xuanyu Shi, Cao Rui, Xiaoke Zhang

Journal: Scientific Reports · DOI: 10.1038/s41598-025-87106-4 · Citations: 15

Matched topics: reservoir, hydropower

Coordinating the downstream ecological demand and the power generation demand of hydropower stations is an important task in the operation of reservoirs, and how to evaluate the ecological satisfaction of the scheduling process is a difficult problem that needs to be solved urgently. A multi-objective optimal reservoir scheduling model was constructed to coordinate the spawning flow demand of “ Four Major Chinese Carps”; The model takes the maximum power generation and the maximum membership …

Resolving Hydropower Plant Construction Disputes through a Standing Dispute Board: A Case Study of Asahan 3 HEPP

Authors: Bayu Wisatrioda, Reza Rafly Sebastian, S. Sami’an, Sarwono Hardjomuljadi

Journal: SIGn Jurnal Hukum · DOI: 10.37276/sjh.v6i2.392 · Citations: 16

Matched topics: hydropower

Electricity deficits in North Sumatra have hindered regional economic growth. The Asahan 3 HEPP, a national strategic project, was constructed to address this crisis. However, the Lot I Civil Works contract encountered complexities, resulting in 25 contractor claims within the first 20 months. This study analyzes the effectiveness of the SDB in resolving construction disputes at the Asahan 3 HEPP following a contract amendment. Employing a qualitative case study with a descriptive-analytical …

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.

Silver single atoms and nanoparticles on floatable monolithic photocatalysts for synergistic solar water disinfection

Authors: Jian Wang, Jiahe Zhang, Yang Li, Xinghui Xia, Hengjing Yang, Jae‐Hong Kim et al.

Journal: Nature Communications · DOI: 10.1038/s41467-025-56339-2 · Citations: 49

Matched topics: surface water

/ZIF is capable of disinfecting at least 10.0 L of surface water, which meets the World Health Organization (WHO) recommended daily per capita drinking water allocation (8.0 L). This study presents a decentralized and sustainable approach for water disinfection in off-grid areas.

Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques

Authors: Abhijeet Das

Journal: Applied Water Science · DOI: 10.1007/s13201-024-02357-2 · Citations: 30

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

Surface water depletion in Odisha tract poses significant challenges for sustainable water management. An important part of the effort to satisfy the growing demand for water is surface water quality control. For that purpose, this study’s primary goal is to assess the surface water quality for drinking and irrigation at nine different locations, via the use of the innovative techniques. In this regard, Drinking Water Quality Index (DWQI), Partial Least Square Regression (PLSR) and Spatial re…

Magnetic nanocomposites: innovative adsorbents for antibiotics removal from aqueous environments–a narrative review

Authors: Sahar Abolghasemi, Alireza Nasiri, Majid Hashemi, Saeed Rajabi, Fatemeh Rahimi

Journal: Applied Water Science · DOI: 10.1007/s13201-025-02360-1 · Citations: 31

Matched topics: water management

Abstract Pharmaceutical pollutants represent a significant class of industrial contaminants known for their persistence and adverse effects on the environment, posing a substantial concern for global ecosystems. Addressing the removal of these pollutants has become imperative in contemporary environmental management strategies. Among the various remediation techniques, the adsorption process stands out as an effective method for treating diverse wastewater streams. In this context, the utiliz…

Ecological consequences of antibiotics pollution in sub-Saharan Africa: Understanding sources, pathways, and potential implications

Authors: Asha Ripanda, Mwemezi J. Rwiza, Elias C. Nyanza, Miraji Hossein, Mateso Said Alfred, Alaa El Din Mahmoud et al.

Journal: Emerging contaminants · DOI: 10.1016/j.emcon.2025.100475 · Citations: 17

Matched topics: runoff, water management, surface water

In Sub-Saharan Africa (SSA), the increasing use of antibiotics in human and veterinary medicine, combined with inadequate waste and water management systems, has intensified the problem of antibiotic pollution. Untreated or partially treated wastewater from industries, agricultural runoff, residential areas, and healthcare facilities is frequently discharged into the environment, often used for irrigation, contributing to antibiotic accumulation, the spread of resistance genes, and the rise o…

Runoff and accumulation of microplastics derived from polymer-coated fertilizer in japanese paddy fields.

Authors: Naoya Katsumi, T. Kusube

Journal: Environmental Toxicology and Chemistry · DOI: 10.1093/etojnl/vgaf021 · Citations: 13

Matched topics: runoff, water management

Polymer-coated fertilizers, widely used in rice cultivation in Japan, contribute to reactive nitrogen management and agricultural productivity but are a source of microplastics in the environment. Here, we investigated microplastics derived from polymer-coated fertilizer (microcapsule) runoff in Japanese paddy fields at 38 sites to quantitatively assess the behavior of microcapsules in paddy fields, and to estimate the total amount of runoff and accumulation in Japan. We also examined the fac…

Effects of alternating wet and dry irrigation regimes on rice growth and physiology characteristics in southeast China

Authors: Rui Zhou, Haofang Yan, Chuan Zhang, Xingye Zhu, Guoqing Wang, Bin He et al.

Journal: Paddy and Water Environment · DOI: 10.1007/s10333-025-01016-9 · Citations: 17

Matched topics: irrigation

Abstract not available.

Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 8 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.

Towards the next generation of Geospatial Artificial Intelligence

Authors: Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu et al.

Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2025.104368 · Citations: 45

Matched topics: hydrology, streamflow, earth system model

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history o…

Uncovering the drivers, impacts, and urgent solutions to soil erosion in the Ethiopian Highlands: a global perspective on local challenges

Authors: Degfie Teku, Tarekegn Derbib

Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2024.1521611 · Citations: 48

Matched topics: hydrology, water management

Soil erosion in the Ethiopian Highlands is a critical environmental challenge, driven by both natural and anthropogenic factors such as deforestation, overgrazing, unsustainable agricultural practices, and climatic variability. Addressing this issue is essential for safeguarding the region’s agricultural productivity, biodiversity, and socio-economic stability. This review aims to synthesize and evaluate existing research on the extent, impacts, and mitigation strategies of soil erosion acros…

Using Machine Learning to Predict Suspended Sediment Transport under Climate Change

Authors: Nejc Bezak, Klaudija Lebar, Yun Bai, Simon Rusjan

Journal: Water Resources Management · DOI: 10.1007/s11269-025-04108-7 · Citations: 17

Matched topics: runoff, streamflow, climate change

Abstract Sediment transport, an important element of the erosion‒sedimentation cycle, can be very high during extreme flood events and can cause hydromorphological changes within river networks. Therefore, improved sediment transport predictions are needed to establish sediment management at the catchment scale. A machine learning model (i.e., XGBoost) and a sediment rating curve method were tested for predicting the suspended sediment load in the Sora River catchment in Slovenia. The evaluat…

State updating of the Xin’anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models

Authors: Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht Weerts, Qiaoling Li et al.

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-335-2025 · Citations: 10

Matched topics: hydrologic model, runoff, streamflow

Abstract. Assimilating either soil moisture or streamflow individually has been well demonstrated to enhance the simulation performance of hydrological models. However, the runoff routing process may introduce a lag between soil moisture and outlet discharge, presenting challenges in simultaneously assimilating the two types of observations into a hydrological model. The asynchronous ensemble Kalman filter (AEnKF), an adaptation of the ensemble Kalman filter (EnKF), is capable of utilizing ob…

Unveiling the hidden connections: Using explainable artificial intelligence to assess water quality criteria in nine giant rivers

Authors: Sourav Kundu, Priyangshu Datta, Puja Pal, Kripabandhu Ghosh, Akankshya Das, Basanta Kumar Das

Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2025.144861 · Citations: 15

Matched topics: river, water management

Abstract not available.

Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest

Authors: Shubham Jain, Arun Bawa, Katie Mendoza, Raghavan Srinivasan, Rajbir Parmar, Deron Smith et al.

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.178517 · Citations: 14

Matched topics: hydrology, hydrologic model

Estimating constituent loads in streams and rivers is a crucial but challenging task due to low-frequency sampling in most watersheds. While predictive modeling can augment sparsely sampled water quality data, it can be challenging due to the complex and multifaceted interactions between several sub-watershed eco-hydrological processes. Traditional water quality prediction models, typically calibrated for individual sites, struggle to fully capture these interactions. This study introduces XG…

Authors: Elin Jennings, Patrizia Onnis, Richard A. Crane, Sean Comber, Patrick Byrne, Alex L. Riley et al.

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.178496 · Citations: 14

Matched topics: river, streamflow

Acid mine drainage (AMD) is a worldwide problem that degrades river systems and is difficult and expensive to remediate. To protect affected catchments, it is vital to understand the behaviour of AMD-related metal(loid) contaminants as a function of space and time. To address this, the sources, loads and transport mechanisms of arsenic (As), copper (Cu), zinc (Zn), iron (Fe) and sulfur (S) in a representative AMD-affected catchment (the Carnon River in Cornwall, UK) were determined over a 12-…

Environmental impacts of urban growth and land use changes in tropical cities

Authors: Timothy O. Ogunbode, Victor O. Oyebamiji, David Olabanjo Sanni, Emmanuel Oluwayinka Akinwale, Francis Omowonuola Akinluyi

Journal: Frontiers in Sustainable Cities · DOI: 10.3389/frsc.2024.1481932 · Citations: 18

Matched topics: runoff

Urban centers across the globe are undergoing rapid land use changes due to population growth, economic development, and urbanization. These changes have a profound impact on environmental dynamics and urban livelihoods. This study investigates land use changes and their environmental implications on urban livelihoods in Iwo, Nigeria. The research explores the patterns and drivers of land use changes over the past four decades and evaluates their effects on environmental quality and urban liv…

Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 822
After deduplication 592
After LLM relevance filtering 50
Rejected (not relevant) 542

Papers by journal

Journal Papers
Scientific Reports 9
Nature Communications 4
Frontiers in Environmental Science 2
Applied Water Science 2
Journal of Hydroinformatics 2
Geophysical Research Letters 2
Hydrology and earth system sciences 2
The Science of The Total Environment 2
Reviews of Geophysics 1
International Journal of Applied Earth Observation and Geoinformation 1
Sustainable Cities and Society 1
Nature Climate Change 1
npj Clean Water 1
The Crop Journal 1
Results in Engineering 1
Soil Biology and Biochemistry 1
Nature Water 1
Natural hazards and earth system sciences 1
Nature Food 1
Water Resources Management 1
Emerging contaminants 1
Urban Water Journal 1
npj Climate and Atmospheric Science 1
Modeling Earth Systems and Environment 1
Engineering Applications of Artificial Intelligence 1
Environmental Toxicology and Chemistry 1
Paddy and Water Environment 1
Journal of Cleaner Production 1
Geocarto International 1
International Journal of Hydrogen Energy 1
International Journal of Disaster Risk Reduction 1
SIGn Jurnal Hukum 1
Frontiers in Sustainable Cities 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

Back to top

Powered by CrossRef, Semantic Scholar, OpenAlex, and Claude

This site uses Just the Docs, a documentation theme for Jekyll.