Weekly Literature Review
Week 3 · January 13–January 19, 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 Global increase in the occurrence and impact of multiyear droughts, with 132 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
- Global increase in the occurrence and impact of multiyear droughts
- Leveraging the Internet of Things, Remote Sensing, and Artificial Intelligence for Sustainable Forest Management
- Landslides in a changing world
- Blue-Green space seasonal influence on land surface temperatures across different urban functional zones: Integrating Random Forest and geographically weighted regression.
- Hydroclimatic extremes threaten groundwater quality and stability
- Changes in event soil moisture-temperature coupling can intensify very extreme heat beyond expectations
- Nonlinear exposure-response associations of daytime, nighttime, and day-night compound heatwaves with mortality amid climate change
- Analysis of the Propagation Characteristics of Meteorological Drought to Hydrological Drought and Their Joint Effects on Low-Flow Drought Variability in the Oum Er Rbia Watershed, Morocco
- A critical eutrophication–climate change link
- Substantial increases in compound climate extremes and associated socio-economic exposure across China under future climate change
- Can system dynamics explain long-term hydrological behaviors? The role of endogenous linking structure
- The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign
- Modeling of Multiphase Flow with the Wellbore in Gas-Condensate Reservoirs Under High Gas/Liquid Ratio Conditions and Field Application
- Drought in a warmer, CO2-rich climate restricts grassland water use and soil water mixing.
- Compound coastal flooding in San Francisco Bay under climate change
- Flood Risk Assessment and Extreme Precipitation
- A new approach for urban flood risk assessment using coupled SWMM-HEC-RAS-2D model.
- Flood Resistant Design and Construction
- Optimizing nature-based solutions for urban flood risk mitigation: A multi-objective genetic algorithm approach in Gdańsk, Poland.
- Building resilient urban drainage systems by integrated flood risk index for evidence-based planning
- Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling
- Urban flood dilemmas: How European cities growth shapes flood risk and resilience strategies?
- FathomDEM: an improved global terrain map using a hybrid vision transformer model
- Machine Learning and AI for Hydrological Prediction
- Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
- Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting
- Unveiling differential impacts of multidimensional urban morphology on heat island effect across local climate zones: Interpretable CatBoost-SHAP machine learning model
- Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
- Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin
- Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions
- Forecasting Multi-Step-Ahead Street-Scale Nuisance Flooding using a seq2seq LSTM Surrogate Model for Real-Time Application in a Coastal-Urban City
- Dynamic classification and attention mechanism-based bidirectional long short-term memory network for daily runoff prediction in Aksu River basin, Northwest China
- Machine learning and GIS based groundwater quality prediction for agricultural practices - A case study form Arjunanadi River basin of South India
- Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities
- Multi-temporal InSAR-based landslide dynamic susceptibility mapping of Fengjie County, Three Gorges Reservoir Area, China
- Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US
- Water Management, Irrigation, and Groundwater
- Solar-driven interfacial evaporation technologies for food, energy and water
- Solar energy-driven desalination: A renewable solution for climate change mitigation and advancing sustainable development goals
- Climate change and agronomic management: Addressing wheat yield gaps and sustainability challenges in the Mediterranean and MENA regions
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Pathways for Hydrological Resilience: Strategies for Adaptation in a Changing Climate
- Coastal wetland resilience through local, regional and global conservation
- Advancements in hydrogen production through the integration of renewable energy sources with AI techniques: A comprehensive literature review
- A Quick Method for Appraising Pore Connectivity and Ultimate Imbibed Porosity in Shale Reservoirs
- Assessing the differential impact of vegetated and built-up areas on heat exposure environment: A case study of Los Angeles
- Synergy of Remote Sensing and Geospatial Technologies to Advance Sustainable Development Goals for Future Coastal Urbanization and Environmental Challenges in a Riverine Megacity
- The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context
- The effect of climate change on the simulated streamflow of six Canadian rivers based on the CanRCM4 regional climate model
- Equivalent combined cycle modelling for three-heat-reservoir thermal Brownian heat pump with heat-transfer effect and its optimal performance
- Towards a comprehensive river barrier mapping solution to support environmental management
- Cu‐Driven Active Cu2Se@MXene Heterointerface Reconstruction and Co Electron Reservoir Toward Superior Sodium Storage
- Quantifying the individual and combined influence of climate change, land cover transition, and internal climate variability on the hydrology of a snow-dominated forested watershed
- Modeling agro-hydrological surface-subsurface processes in a semi-arid, intensively irrigated river basin
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 15 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.
Global increase in the occurrence and impact of multiyear droughts
Authors: Liangzhi Chen, Philipp Brun, Pascal Buri, Simone Fatichi, Arthur Geßler, Michael McCarthy et al.
Journal: Science · DOI: 10.1126/science.ado4245 · Citations: 132
Matched topics: drought
Persistent multiyear drought (MYD) events pose a growing threat to nature and humans in a changing climate. We identified and inventoried global MYDs by detecting spatiotemporally contiguous climatic anomalies, showing that MYDs have become drier, hotter, and led to increasingly diminished vegetation greenness. The global terrestrial land affected by MYDs has increased at a rate of 49,279 ± 14,771 square kilometers per year from 1980 to 2018. Temperate grasslands have exhibited the greatest d…
Leveraging the Internet of Things, Remote Sensing, and Artificial Intelligence for Sustainable Forest Management
Authors: Guma Ali, Maad M. Mıjwıl, Ioannis Adamopoulos, Jenan Ayad
Journal: Babylonian Journal of Internet of Things · DOI: 10.58496/bjiot/2025/001 · Citations: 70
Matched topics: hydrology, streamflow, land surface model
Sustainable forest management is vital for addressing climate change, biodiversity loss, and deforestation. Human-induced stresses on forest ecosystems demand innovative approaches to ensure long-term health and productivity. This study explores how cutting-edge technologies, including the Internet of Things (IoT), remote sensing, and artificial intelligence (AI), enhance sustainable forest management practices. Researchers reviewed 196 studies published between 2021 and 2024 from IEEE Xplore…
Landslides in a changing world
Authors: Irasema Alcántara-Ayala
Journal: Landslides · DOI: 10.1007/s10346-024-02451-1 · Citations: 67
Matched topics: hydrology, land surface model, hydropower
Abstract This article investigates the multifaceted dimensions to understand the interrelatedness among global change drivers and their implications for landslide hazards and disaster risk. Drawing on empirical research, it utilised a mixed-methods design; the research combined diverse data sources and experiential insights on the interdependencies bounded by local context and global scale. The findings underscore the urgent need for holistic approaches that consider the complex dimensions of…
Blue-Green space seasonal influence on land surface temperatures across different urban functional zones: Integrating Random Forest and geographically weighted regression.
Authors: Yue Zhang, Jingtian Ge, Xueyue Bai, Siyuan Wang
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.123975 · Citations: 41
Matched topics: seasonal, land surface model
As climate change and urbanization progress, the urban heat island issue will affect more people. Urban blue-green spaces can effectively mitigate the urban heat island effect, and their structure and morphology significantly impact the degree of mitigation. To identify the most effective blue-green space distribution for mitigating the heat island effect across different urban function zones (UFZ), we selected 14 landscape metrics of blue-green spaces in the main urban area of Nanjing. Using…
Hydroclimatic extremes threaten groundwater quality and stability
Authors: Simon Andreas Schroeter, Alice May Orme, Katharina Lehmann, Robert Lehmann, Narendrakumar M. Chaudhari, Kirsten Küsel et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-55890-2 · Citations: 40
Matched topics: land surface model
Heavy precipitation, drought, and other hydroclimatic extremes occur more frequently than in the past climate reference period (1961-1990). Given their strong effect on groundwater recharge dynamics, these phenomena increase the vulnerability of groundwater quantity and quality. Over the course of the past decade, we have documented changes in the composition of dissolved organic matter in groundwater. We show that fractions of ingressing surface-derived organic molecules increased significan…
Changes in event soil moisture-temperature coupling can intensify very extreme heat beyond expectations
Authors: Douglas Maraun, R. Schiemann, Albert Ossó, Martin Jury
Journal: Nature Communications · DOI: 10.1038/s41467-025-56109-0 · Citations: 33
Matched topics: land surface model, earth system model
The most disastrous heatwaves are very extreme events with return periods of hundreds of years, but traditionally, climate research has focussed on moderate extreme events occurring every couple of years or even several times within a year. Here, we use three Earth System Model large ensembles to assess whether very extreme heat events respond differently to global warming than moderate extreme events. We find that the warming signal of very extreme heat can be amplified or dampened substanti…
Nonlinear exposure-response associations of daytime, nighttime, and day-night compound heatwaves with mortality amid climate change
Authors: Jiangdong Liu, Ho Kim, Masahiro Hashizume, Whanhee Lee, Yasushi Honda, Satbyul Estella Kim et al.
Journal: Nature Communications · DOI: 10.1038/s41467-025-56067-7 · Citations: 36
Matched topics: climate change
Heatwaves are commonly simplified as binary variables in epidemiological studies, limiting the understanding of heatwave-mortality associations. Here we conduct a multi-country study across 28 East Asian cities that employed the Cumulative Excess Heatwave Index (CEHWI), which represents excess heat accumulation during heatwaves, to explore the potentially nonlinear associations of daytime-only, nighttime-only, and day-night compound heatwaves with mortality from 1981 to 2010. Populations exhi…
Analysis of the Propagation Characteristics of Meteorological Drought to Hydrological Drought and Their Joint Effects on Low-Flow Drought Variability in the Oum Er Rbia Watershed, Morocco
Authors: Ismaguil Hanadé Houmma, Abdessamad Hadri, Abdelghani Boudhar, Ismail Karaoui, Sabir Oussaoui, El Mahdi El Khalki et al.
Journal: Remote Sensing · DOI: 10.3390/rs17020281 · Citations: 13
Matched topics: hydrology, hydrologic model, streamflow, drought, surface water
Analysis of the temporal relationship between meteorological drought and hydrological drought is crucial in monitoring water resource availability. This study examined the linear and lagged relationships of the spread of meteorological drought to hydrological drought and their joint effects on low-flow drought variability in the Oum Er-Rbia (OER) watershed. To this end, random forest (RF) model and statistical methods were used to study the characteristics of the temporal relationships betwee…
A critical eutrophication–climate change link
Authors: Matthew J. Scholz, Daniel R. Obenour, Elise S. Morrison, James J. Elser
Journal: Nature Sustainability · DOI: 10.1038/s41893-024-01507-3 · Citations: 27
Matched topics: climate change
Abstract not available.
Substantial increases in compound climate extremes and associated socio-economic exposure across China under future climate change
Authors: Fang Pei, Taihua Wang, Dawen Yang, Lihua Tang, Yuting Yang
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-025-00910-7 · Citations: 20
Matched topics: climate change, hydropower
Under climate change, China faces intensifying compound extreme events with serious socio-economic ramifications, yet their future variations remain poorly understood. Here, we estimate historical hotspots and future changes of two typical compound events, i.e., sequential heatwave and precipitation (SHP) and concurrent drought and heatwave (CDH) across China, leveraging a bivariate bias correction method to adjust projections from global climate models. Results show substantial future increa…
Can system dynamics explain long-term hydrological behaviors? The role of endogenous linking structure
Authors: Xinyao Zhou, Zhuping Sheng, Kiril Manevski, Rongtian Zhao, Qingzhou Zhang, Yanmin Yang et al.
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-159-2025 · Citations: 10
Matched topics: hydrology, hydrologic model, streamflow, land surface model
Abstract. Hydrological models with conceptual tipping bucket and process-based evapotranspiration formulations are the most common tools in hydrology. However, these models consistently fail to replicate long-term and slow dynamics of a hydrological system, indicating the need for model augmentation and a shift in formulation approach. This study employed an entirely different approach – system dynamics – towards more realistic replication of the observed slow hydrological behaviors at inter-…
The Land Surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment (LIAISE) field campaign
Authors: Aaron Boone, Joaquim Bellvert, Martin Best, Jennifer Brooke, Guylaine Canut, Joan Cuxart et al.
Journal: Journal of the European Meteorological Society. · DOI: 10.1016/j.jemets.2025.100007 · Citations: 10
Matched topics: hydrologic model, streamflow, land surface model, earth system model
One of the greatest challenges facing environmental science is to better understand the impacts of predicted future changes in the terrestrial hydrological cycle. It has been recognized that human activities play a key role and must therefore be considered in future climate simulations. The representation of anthropization in land surface schemes within global earth system models is at a relatively nascent stage and must be improved for more accurate future projections of water resources. The…
Modeling of Multiphase Flow with the Wellbore in Gas-Condensate Reservoirs Under High Gas/Liquid Ratio Conditions and Field Application
Authors: Jiajun Hong, Zhihua Wang, Cong Wang, Jiuxiang Zhang, Wenbo Liu, Kegang Ling
Journal: SPE Journal · DOI: 10.2118/221053-pa · Citations: 23
Matched topics: reservoir
Summary Due to the deeper burial depths of gas-condensate reservoirs, temperatures and pressures are much higher than in conventional reservoirs, resulting in the wellbore usually having a high gas/liquid ratio. The retrograde condensation phenomenon is often observed during the production process of such gas-condensate wellbores. Especially when heavy components are present in the gas-condensate wellbore, the appearance of wax particles occurs, and complex multiphase flow characteristics, wi…
Drought in a warmer, CO2-rich climate restricts grassland water use and soil water mixing.
Authors: Jesse Radolinski, Matevž Vremec, Herbert Wachter, Steffen Birk, Nicolas Brüggemann, M. Herndl et al.
Journal: Science · DOI: 10.1126/science.ado0734 · Citations: 20
Matched topics: drought
Soil water sustains terrestrial life, yet its fate is uncertain under a changing climate. We conducted a deuterium labeling experiment to determine whether elevated atmospheric carbon dioxide (CO2), warming, and drought impact soil water storage and transport in a temperate grassland. Elevated CO2 created a wetter rootzone compared with ambient conditions, whereas warming decreased soil moisture. Soil water remained well mixed in all global change treatments except for summer drought combined…
Compound coastal flooding in San Francisco Bay under climate change
Authors: Zhenqiang Wang, Meredith Leung, Sudarshana Mukhopadhyay, Sai Veena Sunkara, Scott Steinschneider, Jonathan D. Herman et al.
Journal: npj natural hazards. · DOI: 10.1038/s44304-024-00057-0 · Citations: 13
Matched topics: streamflow, flood, climate change
Abstract The risk of compound coastal flooding in the San Francisco Bay Area is increasing due to climate change yet remains relatively underexplored. Using a novel hybrid statistical-dynamical downscaling approach, this study investigates the impacts of climate change induced sea-level rise and higher river discharge on the magnitude and frequency of flooding events as well as the relative importance of various forcing drivers to compound flooding within the Bay. Results reveal that rare occ…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 7 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.
A new approach for urban flood risk assessment using coupled SWMM-HEC-RAS-2D model.
Authors: Kousha Khatooni, F. Hooshyaripor, B. Malekmohammadi, R. Noori
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.123849 · Citations: 37
Matched topics: flood
Urban stormwater management is crucial for mitigating the impacts of flooding in urban areas, as it plays a vital role in protecting infrastructures, ensuring public safety, and preserving environmental quality. In this study, we develop a new method to quantify urban flood risk (UFR) by integrating the components of hazard magnitude and vulnerability. The hazard is assessed using a coupled SWMM-HEC-RAS 2D model, where the flooding rate calculated by SWMM at each node is automatically fed int…
Flood Resistant Design and Construction
Authors: Unknown
Journal: ** · DOI: 10.1061/9780784485781 · Citations: 29
Matched topics: flood
Abstract not available.
Optimizing nature-based solutions for urban flood risk mitigation: A multi-objective genetic algorithm approach in Gdańsk, Poland.
Authors: Anahita Azadgar, Artur Gańcza, S. R. Asl, S. Salata, Lucyna Nyka
Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2024.178303 · Citations: 28
Matched topics: flood
Nature-based Solutions (NbS) have emerged as a sustainable approach to managing flood risks by enhancing natural water retention and reducing surface runoff in urban areas. As climate change and rapid urbanization exacerbate flood hazards, optimizing the spatial deployment of NbS is crucial for improving urban resilience and mitigating flood impacts. This study presents a comprehensive optimization framework for the spatial allocation of fourteen different NbS types aimed at mitigating urban …
Building resilient urban drainage systems by integrated flood risk index for evidence-based planning
Authors: Shakeel Ahmad, Xuanrong Peng, Anam Ashraf, Dingkun Yin, Zhengxia Chen, Rasheed Ahmed et al.
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.124130 · Citations: 19
Matched topics: water management, flood
Urban flooding poses a significant risk to cities worldwide, exacerbated by increasing urbanization and climate change. Effective flood risk management requires comprehensive assessments considering the complex interaction of social, economic, and environmental factors. This study developed an innovative Urban Flood Risk Index (FRI) to quantify and assess flood risk at the sub-catchment level, providing a tool for evidence-based planning and resilient infrastructure development. This study in…
Deep learning-based downscaling of global digital elevation models for enhanced urban flood modeling
Authors: Zanko Zandsalimi, Sergio A. Barbosa, Negin Alemazkoor, Jonathan L. Goodall, Majid Shafiee‐Jood
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.132687 · Citations: 25
Matched topics: flood
Abstract not available.
Urban flood dilemmas: How European cities growth shapes flood risk and resilience strategies?
Authors: W. Halecki, Dariusz Młyński
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.124161 · Citations: 17
Matched topics: flood, land surface model
Extensive research across European cities underscores the importance of assessing urbanization’s impact on flood risk, focusing on river-induced floods and impermeable areas. Using advanced statistical tools, we investigated urban green coverage, Urban Morphological Zones (UMZ), and sealing (imperviousness) levels and effects. Our analysis found that Continuous Urban Fabric (sealed surface >80%) and Discontinuous Dense Urban Fabric (sealed surface 50%-80%) showed negative relationships within…
FathomDEM: an improved global terrain map using a hybrid vision transformer model
Authors: Peter Uhe, Chris Lucas, Laurence Hawker, Malcolm Brine, Hamish Wilkinson, Anthony Cooper et al.
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ada972 · Citations: 24
Matched topics: land surface model
Abstract The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM produced using a novel application of a hy…
Machine Learning and AI for Hydrological Prediction
This week’s 12 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.
Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Authors: Yiwen Xu, Tariq Khan, Yang Song, Erik Meijering
Journal: Artificial Intelligence Review · DOI: 10.1007/s10462-024-11033-5 · Citations: 83
Matched topics: land surface model
Edge deep learning, a paradigm change reconciling edge computing and deep learning, facilitates real-time decision making attuned to environmental factors through the close integration of computational resources and data sources. Here we provide a comprehensive review of the current state of the art in edge deep learning, focusing on computer vision applications, in particular medical diagnostics. An overview of the foundational principles and technical advantages of edge deep learning is pre…
Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting
Authors: Muhammad Asif, Monique M. Kuglitsch, Ivanka Pelivan, Raffaele Albano
Journal: Water Resources Management · DOI: 10.1007/s11269-025-04093-x · Citations: 46
Matched topics: hydrology, hydrologic model, streamflow, flood
Abstract Among natural hazards, floods pose the greatest threat to lives and livelihoods. To reduce flood impacts, short-term flood forecasting can contribute to early warnings that provide communities with time to react. This manuscript explores how machine learning (ML) can support short-term flood forecasting. Using two methods [strengths, weaknesses, opportunities, and threats (SWOT) and comparative performance analysis] for different forecast lead times (1–6, 6–12, 12–24, and 24–48 h), w…
Unveiling differential impacts of multidimensional urban morphology on heat island effect across local climate zones: Interpretable CatBoost-SHAP machine learning model
Authors: Qiqi Liu, Hang Tian, Yunfei Wu
Journal: Building and Environment · DOI: 10.1016/j.buildenv.2025.112574 · Citations: 56
Matched topics: land surface model
Abstract not available.
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Authors: Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martínez‐Sober, J. Blasco, Sergio Cubero, Juan Gómez‐Sanchís
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2025.109938 · Citations: 50
Matched topics: land surface model
• Deep learning in agriculture is rapidly growing, with CNNs leading image analysis and Capsule Networks showing promise. • People often apply ANNs without considering the specific requirements of their data. Proper data preprocessing is crucial for optimizing ANN performance. • Different ANN types are better suited for specific agricultural data and tasks. • Misuse of ANNs, including incorrect hyperparameters and terminology, can lead to poor performance. • Feature engineering and simpler mo…
Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin
Authors: Javed Iqbal, Chunli Su, Hasnain Abbas, Jiaqi Jiang, Zhantao Han, Muhammad Yousuf Jat Baloch et al.
Journal: Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2025.137185 · Citations: 49
Matched topics: runoff
Abstract not available.
Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions
Authors: Mohamad Alkhalidi, Abdullah N. Al–Dabbous, Shoug Kh. Al-Dabbous, Dalal Alzaid
Journal: Journal of Marine Science and Engineering · DOI: 10.3390/jmse13010149 · Citations: 38
Matched topics: land surface model
Accurate wind speed and direction data are vital for coastal engineering, renewable energy, and climate resilience, particularly in regions with sparse observational datasets. This study evaluates the ERA5 reanalysis model’s performance in predicting wind speeds and directions at ten coastal and offshore stations in Kuwait from 2010 to 2017. This analysis reveals that ERA5 effectively captures general wind speed patterns, with offshore stations demonstrating stronger correlations (up to 0.85)…
Forecasting Multi-Step-Ahead Street-Scale Nuisance Flooding using a seq2seq LSTM Surrogate Model for Real-Time Application in a Coastal-Urban City
Authors: Binata Roy, Jonathan L. Goodall, Diana McSpadden, Steven Goldenberg, Malachi Schram
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2025.132697 · Citations: 22
Matched topics: hydrology, streamflow, flood
In coastal-urban cities facing an elevated risk of nuisance flooding (by rain and tide) due to increased heavy rainfall, sea level rise, urbanization, and aging drainage systems, real-time flood forecasting at the street-scale can provide useful information to transportation decision-makers. Physics-Based Models (PBMs) that offer high accuracy come with high computational runtimes and costs that limit their application for real-time flood forecasting. To address this challenge, Machine Learni…
Dynamic classification and attention mechanism-based bidirectional long short-term memory network for daily runoff prediction in Aksu River basin, Northwest China
Authors: Wei Qing, Ju Rui Yang, Fangbing Fu, Lianqing Xue
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2025.124121 · Citations: 21
Matched topics: river, runoff
Inland river runoff variability is pivotal for maintaining regional ecological stability. Daily flow forecasting in arid regions is crucial in understanding water body ecological processes and promoting healthy river ecology. Precise daily runoff forecasting serves as a cornerstone for ecological evaluation, management, and decision-making. With the advancement of artificial intelligence technology, data-driven models have exhibited promising capabilities in runoff prediction. Nevertheless, t…
Machine learning and GIS based groundwater quality prediction for agricultural practices - A case study form Arjunanadi River basin of South India
Authors: Mohan Raj, D. Karunanidhi, N. Subba Rao, T. Subramani
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2025.109932 · Citations: 27
Matched topics: river
Abstract not available.
Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities
Authors: Katja Kustura, David Conti, Matthias Sammer, Michael Riffler
Journal: Remote Sensing · DOI: 10.3390/rs17020318 · Citations: 19
Matched topics: land surface model, climate change
Addressing global warming and adapting to the impacts of climate change is a primary focus of climate change adaptation strategies at both European and national levels. Land surface temperature (LST) is a widely used proxy for investigating climate-change-induced phenomena, providing insights into the surface radiative properties of different land cover types and the impact of urbanization on local climate characteristics. Accurate and continuous estimation across large spatial regions is cru…
Multi-temporal InSAR-based landslide dynamic susceptibility mapping of Fengjie County, Three Gorges Reservoir Area, China
Authors: Feng Tian, Wei Zhang, Hong‐Hu Zhu, Cui Wang, Fengnian Chang, H. X. Li et al.
Journal: Journal of Rock Mechanics and Geotechnical Engineering · DOI: 10.1016/j.jrmge.2025.01.012 · Citations: 23
Matched topics: reservoir
Landslide susceptibility map (LSM) is a crucial tool for managing landslide hazards and identifying potential landslide areas. However, current LSMs rely primarily on static landslide-related factors with little variation over several decades, thereby overlooking the movement of slopes and failing to capture landslide dynamics. The long-term ground deformation map (GDM) derived from multi-temporal interferometric synthetic aperture radar (MT-InSAR) can effectively address the shortcomings. Fe…
Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US
Authors: Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa‐Yarasca, Kabindra Adhikari, Chad Hajda, Douglas R. Smith
Journal: Sensors · DOI: 10.3390/s25020543 · Citations: 22
Matched topics: hydrology
L.) yield prediction is important for varietal selection by plant breeders and management decision-making by growers. Unlike prior studies that focus mainly on county-level or controlled laboratory-scale areas, this study targets a production-scale area, better representing real-world agricultural conditions and offering more practical relevance for farmers. Therefore, the objective of our study was to determine the best combination of vegetation indices and abiotic factors for predicting cor…
Water Management, Irrigation, and Groundwater
Water management research this week spans 3 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.
Solar-driven interfacial evaporation technologies for food, energy and water
Authors: Yan Song, Shiqi Fang, Ning Xu, Jia Zhu
Journal: Nature Reviews Clean Technology · DOI: 10.1038/s44359-024-00009-x · Citations: 118
Matched topics: land surface model, irrigation
Solar-driven interfacial evaporation technologies use solar energy to heat materials that drive water evaporation. These technologies are versatile and do not require electricity, which enables their potential application across the food, energy and water nexus. In this Review, we assess the potential of solar-driven interfacial evaporation technologies in food, energy and clean-water production, in wastewater treatment, and in resource recovery. Interfacial evaporation technologies can produ…
Solar energy-driven desalination: A renewable solution for climate change mitigation and advancing sustainable development goals
Authors: R. Madhuri, Zafar Said, Ihsanullah Ihsanullah, Ravishankar Sathyamurthy
Journal: Desalination · DOI: 10.1016/j.desal.2025.118575 · Citations: 37
Matched topics: climate change
Solar-powered water desalination offers a sustainable solution to two of today’s critical challenges: climate change and water scarcity. This review article critically examines various solar desalination technologies, focusing on technical complexities, environmental impacts, and practical challenges. The analysis highlights solar desalination’s role in achieving key Sustainable Development Goals (SDGs): No Poverty (SDG 1), Zero Hunger (SDG 2), Clean Water and Sanitation (SDG 6), Affordable a…
Climate change and agronomic management: Addressing wheat yield gaps and sustainability challenges in the Mediterranean and MENA regions
Authors: D. Tita, Karrar Mahdi, Krishna Prasad Devkota, Mina Devkota
Journal: Agricultural Systems · DOI: 10.1016/j.agsy.2024.104242 · Citations: 19
Matched topics: water management, climate change
Wheat is a crucial crop for food and nutritional security in Mediterranean and MENA regions, yet it faces significant challenges due to high yield variability, low average productivity, and substantial yield gaps. This highlights the urgent need for improved agricultural practices to enhance its productivity and resilience. The region’s climate climate change, soil degradation, and water supply variability significantly impact wheat production, requiring innovative and integrated solutions to…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 13 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.
Pathways for Hydrological Resilience: Strategies for Adaptation in a Changing Climate
Authors: Francesco Granata, Fabio Di Nunno
Journal: Earth Systems and Environment · DOI: 10.1007/s41748-024-00567-x · Citations: 47
Matched topics: hydrologic model, water management, climate change
Abstract not available.
Coastal wetland resilience through local, regional and global conservation
Authors: Qiang He, Zu’ang Li, Pedro Daleo, Jonathan S. Lefcheck, Mads S. Thomsen, Janine B. Adams et al.
Journal: Nature Reviews Biodiversity · DOI: 10.1038/s44358-024-00004-x · Citations: 56
Matched topics: land surface model
Coastal wetlands, including tidal marshes, mangrove forests and tidal flats, support the livelihoods of millions of people. Understanding the resilience of coastal wetlands to the increasing number and intensity of anthropogenic threats (such as habitat conversion, pollution, fishing and climate change) can inform what conservation actions will be effective. In this Review, we synthesize anthropogenic threats to coastal wetlands and their resilience through the lens of scale. Over decades and…
Advancements in hydrogen production through the integration of renewable energy sources with AI techniques: A comprehensive literature review
Authors: Mohammad Abdul Baseer, Prashant Kumar, Erick Giovani Sperandio Nascimento
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2025.125354 · Citations: 38
Matched topics: water management, hydropower
Abstract not available.
A Quick Method for Appraising Pore Connectivity and Ultimate Imbibed Porosity in Shale Reservoirs
Authors: Ziqing Hong, Mianmo Meng, Deng Kai, Jing‐Wen Bao, Qianyou Wang, Xingchen Liu
Journal: Journal of Marine Science and Engineering · DOI: 10.3390/jmse13010174 · Citations: 38
Matched topics: reservoir
Pore connectivity and ultimate imbibed porosity are two important parameters used to assess the shale oil reservoir property, the proper appraising of which could facilitate the efficient flow of oil from the matrix and an improvement in recovery efficiency. In previous studies, the uncertainty in sample dimensions and the extra-long stable time during imbibition experiments exploring pore connectivity and ultimate imbibed porosity showed a lack of discussion, which influenced the accuracy an…
Assessing the differential impact of vegetated and built-up areas on heat exposure environment: A case study of Los Angeles
Authors: Shengao Yi, Xiaojiang Li, Chenshuo Ma, Ruoyu Wang, Yuye Zhou, Qian Xu et al.
Journal: Building and Environment · DOI: 10.1016/j.buildenv.2025.112538 · Citations: 33
Matched topics: land surface model, earth system model
Abstract not available.
Synergy of Remote Sensing and Geospatial Technologies to Advance Sustainable Development Goals for Future Coastal Urbanization and Environmental Challenges in a Riverine Megacity
Authors: Minza Mumtaz, Syed Humayoun Jahanzaib, Waqar Hussain, Sadia Khan, Youssef M. Youssef, Saleh Qaysi et al.
Journal: ISPRS International Journal of Geo-Information · DOI: 10.3390/ijgi14010030 · Citations: 29
Matched topics: hydrology, land surface model
Riverine coastal megacities, particularly in semi-arid South Asian regions, face escalating environmental challenges due to rapid urbanization and climate change. While previous studies have examined urban growth patterns or environmental impacts independently, there remains a critical gap in understanding the integrated impacts of land use/land cover (LULC) changes on both ecosystem vulnerability and sustainable development achievements. This study addresses this gap through an innovative in…
The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context
Authors: Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Évin, Benoît Hingray, Daniel Viviroli
Journal: Natural hazards and earth system sciences · DOI: 10.5194/nhess-25-247-2025 · Citations: 10
Matched topics: hydrology, hydrologic model, runoff, streamflow, flood
Abstract. In this study, we analyze how precipitation, antecedent conditions, and their spatial patterns and interactions lead to extreme floods in a large catchment. The analysis is based on 10 000 years of continuous simulations from a hydro-meteorological modelling chain for a large catchment, the Aare River basin, Switzerland. To account for different flood-generating processes, we based our work on simulations with hourly time resolution. The hydro-meteorological modelling chain consiste…
The effect of climate change on the simulated streamflow of six Canadian rivers based on the CanRCM4 regional climate model
Authors: Vivek K. Arora, Aranildo R. Lima, Rajesh R. Shrestha
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-29-291-2025 · Citations: 7
Matched topics: hydrologic model, river, runoff, streamflow, climate change
Abstract. The effect of climate change on the hydro-climatology, particularly the streamflow, of six major Canadian rivers (Mackenzie, Yukon, Columbia, Fraser, Nelson, and St. Lawrence) is investigated by analyzing results from the historical and future simulations (RCP 4.5 and 8.5 scenarios) performed with the Canadian regional climate model (CanRCM4). Streamflow is obtained by routing runoff using river networks at 0.5° resolution. Of these six rivers, the Nelson and St. Lawrence are the mo…
Equivalent combined cycle modelling for three-heat-reservoir thermal Brownian heat pump with heat-transfer effect and its optimal performance
Authors: Lingen Chen, Congzheng Qi, Y. Ge, H. Feng
Journal: Science China Technological Sciences · DOI: 10.1007/s11431-024-2751-1 · Citations: 26
Matched topics: reservoir
Abstract not available.
Towards a comprehensive river barrier mapping solution to support environmental management
Authors: Jingrui Sun, Martyn C. Lucas, Julian D. Olden, Thiago B. A. Couto, Nathan Ning, Deanna Duffy et al.
Journal: Nature Water · DOI: 10.1038/s44221-024-00364-w · Citations: 12
Matched topics: hydrology, river, water management, hydropower
Abstract not available.
Cu‐Driven Active Cu2Se@MXene Heterointerface Reconstruction and Co Electron Reservoir Toward Superior Sodium Storage
Authors: Chengxing Lu, Boyu Li, Mengjie Shi, Qun Li, Kun Liu, Cuiyun Lu et al.
Journal: Advanced Energy Materials · DOI: 10.1002/aenm.202405706 · Citations: 21
Matched topics: reservoir
Heterostructure engineering and active component reconstruction are effective strategies for efficient and rapid charge storage in advanced sodium‐ion batteries (SIBs). Herein, sandwich‐type CoSe2@MXene composites are used as a model to reconstruct new active Cu2Se@MXene heterostructures by in situ electrochemical driving. The MXene core provides interconnected pathways for electron and ion conduction, while also buffering volumetric expansion to stabilize the structure. This reconstructed Cu…
Quantifying the individual and combined influence of climate change, land cover transition, and internal climate variability on the hydrology of a snow-dominated forested watershed
Authors: M. Fereshtehpour, M. Najafi, J. Leach, Yuxuan Wang
Journal: Climatic Change · DOI: 10.1007/s10584-024-03848-6 · Citations: 6
Matched topics: hydrology, hydrologic model, runoff, streamflow
Abstract not available.
Modeling agro-hydrological surface-subsurface processes in a semi-arid, intensively irrigated river basin
Authors: Salam A. Abbas, Ryan T. Bailey, Jeffrey G. Arnold, Michael White, Ali Mirchi
Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2025.102188 · Citations: 4
Matched topics: hydrologic model, river, runoff, streamflow, irrigation
Lower Arkansas River Basin (LARB) in Colorado, USA. The process of implementing irrigation in large river basins often results in significant changes in hydrologic pathways and fluxes, such as canal seepage, runoff, recharge, pumping, and groundwater-river exchange. The objective of this study is to quantify the hydrologic fluxes in a highly irrigated river basin and investigate the controls on these fluxes, using the Lower Arkansas River Basin (LARB) (64,000 km 2 ) in Colorado, USA as a demo…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 910 |
| After deduplication | 639 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 589 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Environmental Management | 5 |
| Nature Communications | 3 |
| Science | 2 |
| Building and Environment | 2 |
| Computers and Electronics in Agriculture | 2 |
| Journal of Marine Science and Engineering | 2 |
| Remote Sensing | 2 |
| Journal of Hydrology | 2 |
| Hydrology and earth system sciences | 2 |
| Nature Reviews Clean Technology | 1 |
| Artificial Intelligence Review | 1 |
| Babylonian Journal of Internet of Things | 1 |
| Landslides | 1 |
| Water Resources Management | 1 |
| Earth Systems and Environment | 1 |
| Nature Reviews Biodiversity | 1 |
| Journal of Hazardous Materials | 1 |
| Applied Energy | 1 |
| Desalination | 1 |
| ISPRS International Journal of Geo-Information | 1 |
| Natural hazards and earth system sciences | 1 |
| 1 | |
| Science China Technological Sciences | 1 |
| Science of the Total Environment | 1 |
| Nature Sustainability | 1 |
| Nature Water | 1 |
| npj Climate and Atmospheric Science | 1 |
| Journal of the European Meteorological Society. | 1 |
| Environmental Research Letters | 1 |
| Advanced Energy Materials | 1 |
| Agricultural Systems | 1 |
| Climatic Change | 1 |
| Journal of Hydrology Regional Studies | 1 |
| SPE Journal | 1 |
| Journal of Rock Mechanics and Geotechnical Engineering | 1 |
| npj natural hazards. | 1 |
| Sensors | 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