Weekly Literature Review
Week 17 · April 21–April 27, 2025
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines The Amsterdam Modeling Suite, with 90 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
- Towards Green Economy:
- Green Hydrogen: Pathway to Net Zero Green House Gas Emission and Global Climate Change Mitigation
- Dynamical-generative downscaling of climate model ensembles
- Global assessment and hotspots of lake drought
- Simplified climate change adaptation strategies for livestock development in low-and middle-income countries
- Quantifying the drought-flood abrupt alternation events over Wei River Basin: Dynamic evolution characteristics, driving factors and inherent mechanism
- Transforming agriculture with vermicompost: 7-year empirical evidence from drought-prone and salinization-affected regions of Bangladesh
- Polar regions are critical in achieving global sustainable development goals
- Cascading droughts: Exploring global propagation of meteorological to hydrological droughts (1971–2001)
- Unlocking the Synergy: ABA Seed Priming Enhances Drought Tolerance in Seedlings of Sweet Sorghum Through ABA‐IAA Crosstalk
- Natural Resources Consumption, Renewable Energy Investments and Digital Infrastructure: Analyzing Climate Change in Top‐10 Resource Consuming Economies
- Assessment of textile industry effluents and their impact on local water bodies in an urban setting of Bangladesh
- Attributing spatiotemporal evolution and driving factors of meteorological drought across Yangtze River Basin, China
- Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- The Amsterdam Modeling Suite
- Deep representation learning enables cross-basin water quality prediction under data-scarce conditions
- Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River
- A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation
- AGRARIAN: A Hybrid AI-Driven Architecture for Smart Agriculture
- An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making
- FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations
- Aquatic system assessment of potentially toxic elements in El Manzala Lake, Egypt: A statistical and machine learning approach
- Monthly streamflow forecasting with temporal-periodic transformer
- Water Management, Irrigation, and Groundwater
- Assessing groundwater drought in Iran using GRACE data and machine learning
- Implementation of a wireless sensor network for irrigation management in drip irrigation systems
- Intelligent and automatic irrigation system based on internet of things using fuzzy control technology
- Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture
- Socio-hydrological frameworks for adaptive governance: addressing climate uncertainty in South Asia
- Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India
- Comprehensive hydrogeochemical and statistical assessment of groundwater quality for drinking and irrigation in the Demie River catchment, Southern Ethiopia
- Effects of cyanobacterial growth and decline on dissolved organic matter and endogenous nutrients release at the sediment–water interface
- Alkalinity-salinity-sustainability: Decadal groundwater trends and its impact on agricultural water quality in the Indian Peninsula
- Geochemical pattern, quality and driving forces of multi-layer groundwater in a high-capacity mining area basin: A comprehensive analysis based on the interweaving of multiple factors
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau
- Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling
- Hydropower system in the Yarlung-Tsangpo Grand Canyon can mitigate flood disasters caused by climate change
- Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APCS-MLR model
- Assessment of coupling coordination and spatial distribution characteristics between urbanization and ecosystem health in the Yellow River Basin
- Land use and land cover change trends, drivers and its impacts on ecosystem services in burayu sub city, Ethiopia
- Mapping landslide susceptibility and risk assessment on fragile ecosystem of Himalayan River basins
- Comparison of vegetation responses to diverse water sources in the Yangtze River Basin: Insights from meteorological, hydrological, and agricultural drought
- Quantifying thresholds of key drivers for ecosystem health in large-scale river basins: A case study of the upper and middle Yellow River
- Ozone Pollution Extremes in Southeast China Exacerbated by Reduced Uptake by Vegetation During Hot Droughts
- Delayed Response of Soil Moisture and Hydrological Droughts to Meteorological Drought Over East Asia
- Machine learning-based hydrograph modeling with LSTM: A case study in the Jatigede Reservoir Catchment, Indonesia
- Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
- Assessment of surface water quality based on physical and chemical parameters in a GIS, for three rivers in southern Brazil
- Quantitative attribution analysis of water and sediment changes in the Lower Yellow River (1950–2022) under the influence of climate change and human activities
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 14 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.
Towards Green Economy:
Authors: Yasser F. Nassar, Mukhtar Irhouma, Mansour A.S. Salem, Hala J. El‐Khozondar, Seham Suliman, Monaem Elmnifi et al.
Journal: Solar Energy and Sustainable Development · DOI: 10.51646/jsesd.v14i1.549 · Citations: 52
Matched topics: hydropower, earth system model
Libya is primarily concerned with the green economy as it relies on a single source of national income and a single source of energy. It loses its national income source as industrial countries abandon fossil fuels and replace them with environmentally friendly alternative energy sources. Therefore, Libya must begin the battle for green economy transformation, and policymakers need to develop strategies for a rapid and safe transition to sustainable green development. This research outlines t…
Green Hydrogen: Pathway to Net Zero Green House Gas Emission and Global Climate Change Mitigation
Authors: I. Elegbeleye, O. Oguntona, Femi.A. Elegbeleye
Journal: Hydrogen · DOI: 10.3390/hydrogen6020029 · Citations: 40
Matched topics: climate change, earth system model
Green hydrogen is gaining recognition as a viable substitute for fossil fuels, presenting a sustainable solution for global decarbonization. While significant progress has been made in hydrogen production, storage, and utilization, there remains a crucial need to assess its economic viability and integration into current energy systems and to reduce its emission footprint. This review delves into the prospects and challenges of green hydrogen deployment into the renewable energy mix, with a p…
Dynamical-generative downscaling of climate model ensembles
Authors: Ignacio Lopez‐Gomez, Zhong Wan, Leonardo Zepeda-Núñez, Tapio Schneider, John C. Anderson, Fei Sha
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2420288122 · Citations: 27
Matched topics: hydrology, earth system model
Regional high-resolution climate projections are crucial for many applications, such as agriculture, hydrology, and natural hazard risk assessment. Dynamical downscaling, the state-of-the-art method to produce localized future climate information, involves running a regional climate model (RCM) driven by an Earth System Model (ESM), but it is too computationally expensive to apply to large climate projection ensembles. We propose an approach combining dynamical downscaling with generative AI …
Global assessment and hotspots of lake drought
Authors: Xing Cheng, Shuo Wang, Jianli Chen, Amir AghaKouchak
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-025-02285-2 · Citations: 17
Matched topics: drought, earth system model
Many lakes have exhibited substantial variability in recent years, making “lake drought” a growing concern. However, there is no established framework for identifying and studying lake droughts. Here, we propose a reliable definition for it and provide a global assessment of over 160,000 lakes (≥1 km2) using monthly area data from 1985 to 2018. Our findings show that 15.7% of lakes have experienced statistically significant increasing trends in drought frequency (p < 0.05), with hotspots in t…
Simplified climate change adaptation strategies for livestock development in low-and middle-income countries
Authors: Hameed Akande Bashiru, S. O. Oseni
Journal: Frontiers in Sustainable Food Systems · DOI: 10.3389/fsufs.2025.1566194 · Citations: 20
Matched topics: climate change
Climate change, characterized by the increased frequency and intensity of extreme weather events, is the greatest environmental challenge threatening global food systems. Its impacts are particularly severe for livestock production systems in developing countries. In low-and middle-income countries (LMICs), livestock production provides critical livelihoods for millions of vulnerable people and plays a significant role in food security. However, the sector is highly susceptible to the adverse…
Quantifying the drought-flood abrupt alternation events over Wei River Basin: Dynamic evolution characteristics, driving factors and inherent mechanism
Authors: Simin Wang, Rengui Jiang, Yong Zhao, Jiancang Xie, Shengdong Cheng, Lingzi WANG et al.
Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2025.108185 · Citations: 10
Matched topics: river, flood, drought
Abstract not available.
Transforming agriculture with vermicompost: 7-year empirical evidence from drought-prone and salinization-affected regions of Bangladesh
Authors: Lokman Hossain, Khusnur Jahan Shapna, Jianfeng Li, Md. Humayain Kabir, Farzana Siddika, Saifullah Khandker et al.
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2025.145595 · Citations: 19
Matched topics: drought
Global agricultural production has been affected by the increased frequency of climate extremes (e.g., droughts) in dry regions and heightened soil and water salinity in coastal regions. Exploration of sustainable agricultural practices is central to addressing the impacts of climate-induced shocks, restore soil fertility, and ensure food security. While there is growing evidence of crop losses due to increased drought and soil salinity, empirical evidence on nature-based solutions for increa…
Polar regions are critical in achieving global sustainable development goals
Authors: Xin Li, Huadong Guo, Guodong Cheng, Xiaoyu Song, Youhua Ran, Min Feng et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-59178-3 · Citations: 18
Matched topics: earth system model
As important components of global commons, environmental changes in polar regions are crucial to the local and global sustainability. However, they have received little attention in the current framework of sustainable development goals (SDGs). This study examines the impacts of climate change in polar regions, emphasizing the interconnectedness of these areas with other parts of the global system. Here we show that polar regions are a limiting factor in achieving global SDGs, similar to the …
Cascading droughts: Exploring global propagation of meteorological to hydrological droughts (1971–2001)
Authors: A. Kumar, Simon N. Gosling, Matthew F. Johnson, Matthew D. Jones, Albert Nkwasa, Aristeidis Koutroulis et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.179486 · Citations: 3
Matched topics: hydrologic model, runoff, streamflow, drought
An understanding of the spatiotemporal behaviour of Meteorological drought (MD) and Hydrological drought (HD) is crucial for analysing how drought propagation occurs. Here, drought events were treated as three-dimensional grid structures spanning space (latitude and longitude) and time. 31 years (1971-2001) of global MD and HD events were analysed for evidence of propagation, and the most severe 20 MD events explored in detail. From the Inter-Sectoral Impact Model Intercomparison Project (ISI…
Unlocking the Synergy: ABA Seed Priming Enhances Drought Tolerance in Seedlings of Sweet Sorghum Through ABA‐IAA Crosstalk
Authors: Luhua Yao, Yu Ni, Chen Chunjie, Xiong Wangdan, Gan Qiaoqiao, Jia Xinfeng et al.
Journal: Plant Cell & Environment · DOI: 10.1111/pce.15575 · Citations: 16
Matched topics: drought
Abscisic acid (ABA) seed priming impacts plant growth and stress resistance, yet its precise physiological and molecular mechanisms remain elusive. This study explored the role of ABA-priming in enhancing drought acclimation in sweet sorghum (Sorghum bicolor Moench) using physiological assessments and comparative transcriptomics. Under drought stress, ABA-primed seedlings exhibited increased plant height, larger leaves, and higher leaf water content compared to non-primed plants. While drough…
Natural Resources Consumption, Renewable Energy Investments and Digital Infrastructure: Analyzing Climate Change in Top‐10 Resource Consuming Economies
Authors: Siman Xie, Fouad Jamaani, Muhammad Farhan Bashir
Journal: Sustainable Development · DOI: 10.1002/sd.3483 · Citations: 16
Matched topics: climate change
ABSTRACT The continuous industrial developments mean global economies are under heightened pressure to enact pro‐environmental policies and solve climate change and global warming. In order to examine the sustainable development transition, the current study articulates natural resources, digital infrastructure, renewable energy investments, institutional governance, and economic growth to study climate change in top‐10 resource‐consuming economies. The empirical analysis analyzes the empiric…
Assessment of textile industry effluents and their impact on local water bodies in an urban setting of Bangladesh
Authors: Md. Mehedi Hassan Masum, Md. Bashirul Islam, MM Anowar, Kandila Arsh, Sadia Alam
Journal: Discover Environment · DOI: 10.1007/s44274-025-00245-3 · Citations: 16
Matched topics: surface water
Industrial pollution is a significant challenge for developing countries, particularly in Bangladesh, where the textile industry severely impacts water quality by discharging effluents containing toxic chemicals. This study aims to evaluate the pollutant load of effluents released by six textile industries in Chattogram City. Effluent samples were analyzed for various physicochemical, biological, and heavy metal parameters. The average physicochemical and biological parameters, including colo…
Attributing spatiotemporal evolution and driving factors of meteorological drought across Yangtze River Basin, China
Authors: Xin‐Min Zeng, Mingqiu Nie, Ning Wang, Irfan Ullah, Ganggang Bai, Manjing Wang et al.
Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2025.108155 · Citations: 11
Matched topics: river, drought
Abstract not available.
Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change
Authors: Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias
Journal: European Journal of Investigation in Health Psychology and Education · DOI: 10.3390/ejihpe15050065 · Citations: 15
Matched topics: climate change
< 0.05). Adaptive workload scheduling and fatigue monitoring reduced burnout prevalence by 28%. Real-time environmental data improved hazard detection, while Natural Language Processing (NLP)-based text mining identified stress-related indicators in worker reports. The results demonstrate AI’s effectiveness in workplace safety, predicting, classifying, and mitigating risks. Reinforcement learning-based adaptive monitoring optimizes workforce well-being. Expanding predictive-driven occupationa…
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.
Efficient urban flood control and drainage management framework based on digital twin technology and optimization scheduling algorithm
Authors: Chenchen Fan, Jingming Hou, Xuan Li, Gangfu Song, Yihui Yang, Xin Liang et al.
Journal: Water Research · DOI: 10.1016/j.watres.2025.123711 · Citations: 15
Matched topics: water management, flood
Abstract not available.
Impact of the May 2024 Extreme Geomagnetic Storm on the Ionosphere and GNSS Positioning
Authors: Ekaterina Danilchuk, Yury Yasyukevich, Артем Веснин, Aleksandr Klyusilov, Baocheng Zhang
Journal: Remote Sensing · DOI: 10.3390/rs17091492 · Citations: 19
Matched topics: earth system model
Global navigation satellite systems provide important data sets that can be used to study the influence of various space weather factors. We analyzed the effects of the main phase of the May 2024 extreme geomagnetic storm on the ionosphere and GPS kinematic precise point positioning (PPP). ROTI and global ionospheric maps showed the ionospheric dynamics. The auroral oval expanded up to low latitudes: up to 30°N in the American sector and up to 45°N in the European–Asian sector during the main…
Machine Learning and AI for Hydrological Prediction
This week’s 9 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
The Amsterdam Modeling Suite
Authors: Evert Jan Baerends, Néstor F. Aguirre, N. Austin, Jochen Autschbach, F. Matthias Bickelhaupt, Rosa E. Bulo et al.
Journal: The Journal of Chemical Physics · DOI: 10.1063/5.0258496 · Citations: 90
Matched topics: earth system model
In this paper, we present the Amsterdam Modeling Suite (AMS), a comprehensive software platform designed to support advanced molecular and materials simulations across a wide range of chemical and physical systems. AMS integrates cutting-edge quantum chemical methods, including Density Functional Theory (DFT) and time-dependent DFT, with molecular mechanics, fluid thermodynamics, machine learning techniques, and more, to enable multi-scale modeling of complex chemical systems. Its design phil…
Deep representation learning enables cross-basin water quality prediction under data-scarce conditions
Authors: Yue Zheng, Xiaoran Zhang, Yongchao Zhou, Yiping Zhang, Tuqiao Zhang, Raziyeh Farmani
Journal: npj Clean Water · DOI: 10.1038/s41545-025-00466-2 · Citations: 24
Matched topics: streamflow, surface water, earth system model
Artificial intelligence has been extensively used to predict surface water quality to assess the health of aquatic ecosystems proactively. However, water quality prediction in data-scarce conditions is a challenge, especially with heterogeneous data from monitoring sites that lack similarity in water quality, hindering the information transfer. A deep learning model is proposed that utilizes representation learning to capture knowledge from source river basins during the pre-training stage, a…
Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River
Authors: Ningpeng Dong, Haoran Hao, Mingxiang Yang, Jianhui Wei, Shiqin Xu, Harald Kunstmann
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-2023-2025 · Citations: 14
Matched topics: hydrologic model, river, streamflow, seasonal
Abstract. Hydrometeorological forecasting is crucial for managing water resources and mitigating the impacts of hydrological extremes. At sub-seasonal scales, readily available hydrometeorological forecast products often exhibit large uncertainties and insufficient accuracies to support decision-making. We propose a deep-learning-based modelling framework for sub-seasonal joint precipitation and streamflow ensemble forecasts for a lead time of up to 30 d. This is achieved by coupling (1) an e…
A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation
Authors: Niloufar Alinasab, Negar Mohammadzadeh, Alireza Karimi, Mohammadzadeh Rahmat, Tamás Gál
Journal: International Journal of Biometeorology · DOI: 10.1007/s00484-025-02921-8 · Citations: 29
Matched topics: earth system model
This study presents a comprehensive investigation into the interplay between machine learning (ML) models, morphological features, and outdoor thermal comfort (OTC) across three key indices: Universal Thermal Climate Index (UTCI), Physiological Equivalent Temperature (PET), and Predicted Mean Vote (PMV). Based on a comprehensive field measurement for 173 urban canyons, proper dataset for summer outdoor thermal condition was provided. Concurrently, six distinct ML models were evaluated and opt…
AGRARIAN: A Hybrid AI-Driven Architecture for Smart Agriculture
Authors: Michael C. Batistatos, Tomaso de Cola, Michail‐Alexandros Kourtis, Vassiliki Apostolopoulou, George Xilouris, Nikos C. Sagias
Journal: Agriculture · DOI: 10.3390/agriculture15080904 · Citations: 21
Matched topics: earth system model
Modern agriculture is increasingly challenged by the need for scalable, sustainable, and connectivity-resilient digital solutions. While existing smart farming platforms offer valuable insights, they often rely heavily on centralized cloud infrastructure, which can be impractical in rural or remote settings. To address this gap, this paper presents AGRARIAN, a hybrid AI-driven architecture that combines IoT sensor networks, UAV-based monitoring, satellite connectivity, and edge-cloud computin…
An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making
Authors: Ahmed M. Elshewey, Mona Jamjoom, Eman H. Alkhammash
Journal: Scientific Reports · DOI: 10.1038/s41598-025-97401-9 · Citations: 20
Matched topics: climate change
Climate change poses a significant challenge to wind energy production. It involves long-term, noticeable changes in key climatic factors such as wind power, temperature, wind speed, and wind patterns. Addressing climate change is essential to safeguarding our environment, societies, and economies. In this context, accurately forecasting temperature and wind power becomes crucial for ensuring the stable operation of wind energy systems and for effective power system planning and management. N…
FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations
Authors: Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Zhiqiu Gao et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-025-01039-3 · Citations: 19
Matched topics: earth system model
Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance. Nevertheless, developing an efficient DA system poses significant challenges, particularly in establishing intricate relationships between the background field and the vast amount of multi-source observation data within limited operational time windows. Recently, Deep learning-base…
Aquatic system assessment of potentially toxic elements in El Manzala Lake, Egypt: A statistical and machine learning approach
Authors: Asmaa Nour Aly Al-Falal, Salah Elsayed, Ezzat A. El Fadaly, Aissam Gaagai, Hani Amir Aouissi, Mohamed S. Abd El-baki et al.
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2025.105027 · Citations: 18
Matched topics: surface water
• Developed an Aquatic Water Quality Index (AWQI) for Manzala Lake, Egypt. • Applied four pollution indices: HPI, PI, CI, and MI, for water quality assessment. • Leveraged PCA and CA to refine indices and understand geo-environmental factors. • ANN model disclosed highest prediction accuracy (R² = 1.0) for water quality. • Identified Cd and Cu as key pollutants, impacting lake ecosystem health. This study aimed to assess and predict the surface water quality of Manzala Lake, Egypt, and identi…
Monthly streamflow forecasting with temporal-periodic transformer
Authors: Hanlin Yin, Qirui Zheng, Chenxu Wei, Congcong Liang, Minhao Fan, Xiuwei Zhang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133308 · Citations: 6
Matched topics: hydrology, hydrologic model, streamflow
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 10 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.
Assessing groundwater drought in Iran using GRACE data and machine learning
Authors: Ali R. Kashani, Hamid R. Safavi
Journal: Scientific Reports · DOI: 10.1038/s41598-025-99342-9 · Citations: 15
Matched topics: hydrology, drought, land surface model, earth system model
Groundwater serves as a critical freshwater reservoir globally, essential for ecosystem conservation and human well-being. Drought conditions adversely impact groundwater systems by first reducing recharge, followed by declines in groundwater levels and withdrawal potential, which can result in agricultural setbacks and irreversible consequences such as land subsidence. The introduction of the Gravity Recovery and Climate Experiment (GRACE) project marked a significant advancement in monitori…
Implementation of a wireless sensor network for irrigation management in drip irrigation systems
Authors: Mehmet Kamil MERİÇ
Journal: Scientific Reports · DOI: 10.1038/s41598-025-97303-w · Citations: 21
Matched topics: water management, irrigation
/h and real-time pressure monitoring enabled early detection of anomalies such as clogging or low water supply, enhancing irrigation efficiency. The results of this study highlight the potential of WSNs in improving water management practices for irrigation. By providing real-time data and remote-control capabilities, the integrated system offers a tool for optimizing water usage and conserving water resources.
Intelligent and automatic irrigation system based on internet of things using fuzzy control technology
Authors: Xinying Liu, Zhihuan Zhao, Amin Rezaeipanah
Journal: Scientific Reports · DOI: 10.1038/s41598-025-98137-2 · Citations: 24
Matched topics: irrigation
Agriculture is a vital sector in the global economy but also a major contributor to water consumption and wastage due to inefficient irrigation techniques. To address this issue, smart irrigation systems using the Internet of Things (IoT) have emerged as a solution for optimizing water use. These systems utilize real-time sensor data to improve irrigation efficiency and agricultural productivity. This paper presents an automatic, low-cost intelligent irrigation system based on a fuzzy rule-ba…
Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture
Authors: Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais, Muhammad Naveed Tahir, Shoaib Rashid Saleem, Fuad A.M. Al-Yarimi et al.
Journal: Egyptian Informatics Journal · DOI: 10.1016/j.eij.2025.100691 · Citations: 16
Matched topics: water management, irrigation, earth system model
Climate change is the phenomenon of permanent change in the environmental conditions of an area. However, it is now affecting the earth by causing a permanent seasonal shift. This seasonal shift is not only decreasing the yields of crops by shortening their growth duration but also critically affecting the water availability for irrigation purposes. This article addresses the irrigation management strategies to mitigate the impacts of climate changes using advance techniques like internet of …
Socio-hydrological frameworks for adaptive governance: addressing climate uncertainty in South Asia
Authors: Anjal Prakash, Ritwick George, Anamika Barua
Journal: Frontiers in Water · DOI: 10.3389/frwa.2025.1556820 · Citations: 10
Matched topics: hydrology, hydrologic model, water management
In an era of growing climate change impacts, there is an increasing need to grasp the complex connection between human society and hydrological systems. Socio-hydrology, an interdisciplinary area between hydrology, sociology, and economics, provides essential insights to uncover how people’s conduct impacts water and climate systems and resources. In this context, this paper looks at modern socio-hydrology advances and what they suggest for creating resistance or insensitivity to climate evol…
Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India
Authors: Vaishnavi Raut, Vasant Wagh, Kartik Tadse, Shankar Karuppannan
Journal: Discover Sustainability · DOI: 10.1007/s43621-025-01174-0 · Citations: 9
Matched topics: water management, seasonal, irrigation
The study aims to understand the seasonal variation in groundwater geochemistry for drinking and irrigation uses in Aundha Nagnath tehsil of Maharashtra, India. Therefore, sixty (60) representative water sampling stations were selected for pre- and post-monsoon seasons of the year 2022. Parameters include pH, electrical conductivity, total dissolved solids, calcium, magnesium, total hardness, sodium, potassium, carbonate, bicarbonate, chloride, fluoride, nitrate, and sulphate are analyzed by …
Comprehensive hydrogeochemical and statistical assessment of groundwater quality for drinking and irrigation in the Demie River catchment, Southern Ethiopia
Authors: Teklehaimanot Teklearegay, Abunu Atlabachew, Abel Abebe, Muralitharan Jothimani
Journal: Discover Applied Sciences · DOI: 10.1007/s42452-025-06967-6 · Citations: 8
Matched topics: river, streamflow, irrigation
This study evaluates the groundwater quality in the Demie River catchment in Southern Ethiopia, highlighting its critical role in addressing the region’s growing water demands for drinking and irrigation purposes. A total of 40 groundwater samples from wells and springs were analyzed for 17 physicochemical parameters. The results showed that the WQI values ranged from 18.22 to 66.52, classifying 87.5% of the water samples as excellent and 12.5% as good for drinking. Hierarchical cluster analy…
Effects of cyanobacterial growth and decline on dissolved organic matter and endogenous nutrients release at the sediment–water interface
Authors: Haojie Yin, Yan Bao, Tao Huang, Yingying Zhang, Tingting Sun, Pengliang Tao et al.
Journal: Carbon Research · DOI: 10.1007/s44246-025-00203-x · Citations: 12
Matched topics: hydrology, water management
Abstract Understanding the interactions between dissolved organic matter (DOM) and nutrient behavior during cyanobacterial events has important implications for water management. Therefore, we constructed a simulated cyanobacterial growth and decline experiment, measured the changes in the DOM and the nitrogen and phosphorus fluxes at the sediment–water interface (SWI), and examined the effects of cyanobacterial growth and decline on DOM components and nitrogen and phosphorus release. Results…
Alkalinity-salinity-sustainability: Decadal groundwater trends and its impact on agricultural water quality in the Indian Peninsula
Authors: Durga Prasad Panday, Aanchal Kumari, Manish Kumar
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2025.179459 · Citations: 16
Matched topics: irrigation
Abstract not available.
Geochemical pattern, quality and driving forces of multi-layer groundwater in a high-capacity mining area basin: A comprehensive analysis based on the interweaving of multiple factors
Authors: He Cui, Limin Duan, Hao Pan, Tingxi Liu
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.133376 · Citations: 15
Matched topics: runoff
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 15 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.
Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau
Authors: Yi Nan, Fuqiang Tian, Jeffrey J. McDonnell, Guangheng Ni, Lide Tian, Zongxing Li et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-025-01060-6 · Citations: 25
Matched topics: hydrology, hydrologic model, river, runoff, streamflow, earth system model
The Tibetan Plateau is the headwaters of several major river basins, but uncertainties exist in the estimated contributions of glacial melt and groundwater to runoff. We present a new tracer-aided glacio-hydrological model constrained by multiple datasets for five major river basins of the Tibetan Plateau. We show that the contribution of glacier melt to the annual runoff is less than 5% in all the five basins at the outlets—much less than previous estimates. Our secondary finding is that the…
Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling
Authors: Mostafa Riazi, Sayed M. Bateni, Changhyun Jun, Aitazaz A. Farooque, Khabat Khosravi, Soroush Abolfathi
Journal: Water Resources Management · DOI: 10.1007/s11269-025-04215-5 · Citations: 35
Matched topics: hydrologic model, runoff, land surface model
Abstract not available.
Hydropower system in the Yarlung-Tsangpo Grand Canyon can mitigate flood disasters caused by climate change
Authors: Fengbo Zhang, Qin Yang, Jianhua Wang, Huan Liu, Qinghui Zeng, Yan Long et al.
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-025-02247-8 · Citations: 9
Matched topics: runoff, streamflow, flood, climate change, hydropower
Abstract The world’s largest diversion-type hydropower system will be created on the Yarlung-Tsangpo Grand Canyon. The canyon, a critical region for hydropower development and ecological conservation, faces challenges under climate change. Here we evaluate the water-energy-ecosystem nexus in this hydropower system using the Water and Energy Transfer Processes in Large River Basins model and the Non-Dominated Sorting Genetic Algorithm III model. Key findings reveal that reservoir operations wi…
Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APCS-MLR model
Authors: Zhiming Cao, Hui Qian, Yanyan Gao, Kang Li, Yixin Liu, Xiaoxin Shi et al.
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113518 · Citations: 26
Matched topics: river
• The NIRI was combined with traditional methods to assess the heavy metal pollution in detail. • The APCS-MLR model reliably quantified the effects of various pollution sources on heavy metals. • Cd was identified as a key contributor to ecological risk in the Danjiang River Basin. • Heavy metals in Danjiang River Basin sediments mainly originate from natural factors. The heavy metal content in river sediment is a sensitive indicator of pollution in aquatic ecosystems and plays a key role in…
Assessment of coupling coordination and spatial distribution characteristics between urbanization and ecosystem health in the Yellow River Basin
Authors: Ji He, Yefeng Tang, Xiaoqi Guo, Haitao Chen, Wen Guo, Yuchen Sun
Journal: Land Use Policy · DOI: 10.1016/j.landusepol.2025.107572 · Citations: 25
Matched topics: river
Abstract not available.
Land use and land cover change trends, drivers and its impacts on ecosystem services in burayu sub city, Ethiopia
Authors: Moibon Gabisa, Gizachew Kabite, Siraj Mammo
Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2025.1557000 · Citations: 23
Matched topics: earth system model
Land use and land cover (LULC) change represents a critical environmental challenge that significantly impacts the Earth’s systems and ecosystem services and leads to environmental degradation and economic loss. The main objective of this study was to investigate the trend of LULC change, drivers, and its impacts on ecosystem services in the Burayu sub-city, Shager City, Ethiopia. The study used satellite images from four time periods, Landsat Series sensors’ 4, 5, and 8, at 10-year intervals…
Mapping landslide susceptibility and risk assessment on fragile ecosystem of Himalayan River basins
Authors: Zainab Khan, Md Nawazuzzoha, Kamal Abdelrahman, Sk Ajim Ali, Mohammed S. Fnais, Syed Kausar Shamim et al.
Journal: All Earth · DOI: 10.1080/27669645.2025.2490326 · Citations: 7
Matched topics: hydrologic model, river, runoff, land surface model
Landslides pose a significant threat in the Himalayan region due to complex geology, steep terrain, and diverse climatic conditions. This study addresses the need for a multi-dimensional approach by integrating Machine Learning with GIS to map landslide susceptibility across Himalayan River basins. Conditioning variables including topographical, climatological, hydrological, and phenological factors, and surface conditions were analysed using SVM to predict landslide susceptibility. For valid…
Comparison of vegetation responses to diverse water sources in the Yangtze River Basin: Insights from meteorological, hydrological, and agricultural drought
Authors: Sijing Cui, Jun Gao, Fengyun Sun, Gen Li, Yue Che
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2025.113524 · Citations: 6
Matched topics: hydrologic model, river, runoff, drought
• Positive vegetation–water links coincide with droughts. • The negative impact of the soil moisture surplus on greenery health may be more enduring. • Water scarcity hinders plant growth in lower Yangtze areas. • Runoff is the most significant water source influencing flora growth. Understanding the intricate link between water availability and vegetation growth is crucial for preserving ecosystem vitality and facilitating global carbon cycling. The Yangtze River Basin (YRB) features vast su…
Quantifying thresholds of key drivers for ecosystem health in large-scale river basins: A case study of the upper and middle Yellow River
Authors: Xue Li, Kunxia Yu, Guoce Xu, Peng Li, Zhanbin Li, Peng Shi et al.
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.125480 · Citations: 19
Matched topics: river
Abstract not available.
Ozone Pollution Extremes in Southeast China Exacerbated by Reduced Uptake by Vegetation During Hot Droughts
Authors: Meiyun Lin, Yuanyu Xie, Isabelle De Smedt, Larry W. Horowitz
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl114934 · Citations: 9
Matched topics: hydrology, drought, earth system model
Abstract Using a decade of observations and chemistry‐climate model simulations (2014–2023), we highlight the key role of biosphere‐atmosphere interactions in driving late summer–autumn ozone pollution extremes over Southeast China during hot droughts. In the 2019 and 2022 droughts, stomatal closure in the Yangtze River Basin, caused by soil moisture deficits, led to ∼60% reductions in ozone deposition rates to vegetation, aligning with reduced photosynthesis inferred from satellite remote se…
Delayed Response of Soil Moisture and Hydrological Droughts to Meteorological Drought Over East Asia
Authors: Msafiri Mtupili, Ren Wang, Lei Gu, Jiabo Yin
Journal: International Journal of Climatology · DOI: 10.1002/joc.8883 · Citations: 4
Matched topics: hydrology, runoff, streamflow, drought
ABSTRACT The frequency and severity of meteorological drought across Eastern Asia (EA) are observed and projected to increase with ongoing global climate change. However, the temporal and spatial responses of land surface elements including soil moisture and runoff to meteorological drought remain insufficiently understood and characterised, especially in terms of quantifying the differentiated lag time of soil moisture and hydrological drought responses. In this study, we investigate the spa…
Machine learning-based hydrograph modeling with LSTM: A case study in the Jatigede Reservoir Catchment, Indonesia
Authors: Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, Siska Wulandari, Ammar Fadhil, Riswanto Rosi et al.
Journal: Results in Earth Sciences · DOI: 10.1016/j.rines.2025.100090 · Citations: 4
Matched topics: hydrologic model, runoff, reservoir, earth system model
Predicting and comprehending river discharge is essential to Earth system science in order to manage water resources and preserve ecological sustainability. In data-scarce tropical regions, traditional hydrological models often face challenges due to limited observations and high variability in rainfall-runoff responses. This study explores the application of Long Short-Term Memory (LSTM) networks for hydrograph modeling in the Jatigede Reservoir Catchment, Indonesia, where satellite data is …
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Authors: Fabián Lema, Pablo A. Mendoza, Nicolás Vasquéz, Naoki Mizukami, Mauricio Zambrano‐Bigiarini, Ximena Vargas
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-1981-2025 · Citations: 8
Matched topics: hydrologic model, streamflow, drought
Abstract. Hydrological drought is one of the main hydroclimatic hazards worldwide, affecting water availability, ecosystems, and socioeconomic activities. This phenomenon is commonly characterized by the Standardized Streamflow Index (SSI), which is widely used because of its straightforward formulation and calculation. Nevertheless, there is limited understanding of what the SSI actually reveals about how climate anomalies propagate through the terrestrial water cycle. To find possible expla…
Assessment of surface water quality based on physical and chemical parameters in a GIS, for three rivers in southern Brazil
Authors: Fernando Garrido de Oliveira, Lílian Dena dos Santos, A. Palmeiro
Journal: Environmental Pollution · DOI: 10.1016/j.envpol.2025.126295 · Citations: 8
Matched topics: river, runoff, surface water
Abstract not available.
Quantitative attribution analysis of water and sediment changes in the Lower Yellow River (1950–2022) under the influence of climate change and human activities
Authors: Yihao Wen, Haijue Xu, Jinliang Zhang, Yuchuan Bai
Journal: Environmental Earth Sciences · DOI: 10.1007/s12665-025-12227-y · Citations: 6
Matched topics: river, runoff, climate change
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 859 |
| After deduplication | 627 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 577 |
Papers by journal
| Journal | Papers |
|---|---|
| Scientific Reports | 4 |
| npj Climate and Atmospheric Science | 2 |
| Hydrology and earth system sciences | 2 |
| Communications Earth & Environment | 2 |
| Ecological Indicators | 2 |
| Atmospheric Research | 2 |
| The Science of The Total Environment | 2 |
| Journal of Hydrology | 2 |
| The Journal of Chemical Physics | 1 |
| Solar Energy and Sustainable Development | 1 |
| Hydrogen | 1 |
| Water Resources Management | 1 |
| npj Clean Water | 1 |
| Proceedings of the National Academy of Sciences | 1 |
| International Journal of Biometeorology | 1 |
| Egyptian Informatics Journal | 1 |
| Land Use Policy | 1 |
| Frontiers in Environmental Science | 1 |
| All Earth | 1 |
| Agriculture | 1 |
| Frontiers in Sustainable Food Systems | 1 |
| Water Research | 1 |
| Frontiers in Water | 1 |
| Journal of Environmental Management | 1 |
| Journal of Cleaner Production | 1 |
| Remote Sensing | 1 |
| Geophysical Research Letters | 1 |
| Discover Sustainability | 1 |
| International Journal of Climatology | 1 |
| Results in Earth Sciences | 1 |
| Results in Engineering | 1 |
| Nature Communications | 1 |
| Environmental Pollution | 1 |
| Discover Applied Sciences | 1 |
| Carbon Research | 1 |
| Plant Cell & Environment | 1 |
| Sustainable Development | 1 |
| Discover Environment | 1 |
| Environmental Earth Sciences | 1 |
| European Journal of Investigation in Health Psychology and Education | 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