Weekly Literature Review
Week 51 · December 16–December 22, 2024
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines Optimizing urban green space configurations for enhanced heat island mitigation:, with 87 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
- Rainfall variability and drought in West Africa: challenges and implications for rainfed agriculture
- Growing aridity poses threats to global land surface
- Impact of climatic variabilities and extreme incidences on the physical environment, public health, and people’s livelihoods in Ethiopia
- Ten practical guidelines for microclimate research in terrestrial ecosystems
- Spatiotemporal evolution and driving force analysis of drought characteristics in the Yellow River Basin
- Vegetation greening accelerated the propagation from meteorological to soil droughts in the Loess Plateau from a three-dimensional perspective
- Environmental drivers of dissolved organic matter composition across central European aquatic systems: A novel correlation-based machine learning and FT-ICR MS approach
- A comprehensive study of recent advances, challenges and factors of nanofiltration membrane in various industrial applications
- Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China
- Drought-induced stress on rainfed and irrigated agriculture: Insights from multi-source satellite-derived ecological indicators
- Human driven climate change increased the likelihood of the 2023 record area burned in Canada
- TPRoGI: a comprehensive rock glacier inventory for the Tibetan Plateau using deep learning
- Rapid increase in spring ozone in the Pearl River Delta, China during 2013-2022
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
- Assessment of the impacts of climate change on drought intensity and frequency using SPI and SPEI in the Southern Pre-Balkash region, Kazakhstan
- Lithium Kinetics in Ag–C Porous Interlayer in Reservoir‐Free Solid‐State Batteries
- Foliar application of nano-silicon enhances drought tolerance rate of pot marigold (Calendula officinalis L.) by regulation of abscisic acid signaling
- Flood Risk Assessment and Extreme Precipitation
- Artificial intelligence for flood risk management: A comprehensive state-of-the-art review and future directions
- The impact of dam management and rainfall patterns on flooding in the Niger Delta: using Sentinel-1 SAR data
- Experimental study on oil recovery characteristics of different CO2 flooding methods in sandstone reservoirs with NMR
- Quantifying LID impact: A modified metric for enhanced flood mitigation and urban resilience
- Climate change exacerbates compound flooding from recent tropical cyclones
- Enhancing generalizability of data-driven urban flood models by incorporating contextual information
- Characterization and formation mechanism of the catastrophic flash flood-debris flow hazard triggered by the July 2023 extreme rainstorm in Hantai Gully of Beijing, China
- Machine Learning and AI for Hydrological Prediction
- Optimizing urban green space configurations for enhanced heat island mitigation: A geographically weighted machine learning approach
- Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges
- Runoff prediction using combined machine learning models and signal decomposition
- Combining graph neural network and convolutional LSTM network for multistep soil moisture spatiotemporal prediction
- Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020
- Associations between deep learning runoff predictions and hydrogeological conditions in Australia
- Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-learning technique in river water quality management: An experiment on the Mahanadi catchment, Odisha, India
- Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
- Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam
- Ensemble data assimilation for operational streamflow predictions in the next generation (NextGen) framework
- Water Management, Irrigation, and Groundwater
- Revealing nitrate sources seasonal difference between groundwater and surface water in China’s largest fresh water lake (Poyang Lake): Insights from sources proportion, dynamic evolution and driving forces
- Transformation of seasonal distribution of river flow in the Zhaiyk–Caspian water basin under changing climate conditions
- Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
- Assessing water demand and supply in the Upper Indus Basin using integrated hydrological modeling under varied socioeconomic scenarios
- Recent progress in 2D-MXene-based membranes for water treatments; fabrication, properties, and advanced desalination application
- An integrated approach for spatio-temporal assessment and attribution of water resources carrying capacity: Incorporating AHP, TOPSIS, and lorenz asymmetry coefficient methods
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Insights into Bubble Dynamics in Water Splitting
- Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow
- Occurrence, seasonal variation, and environmental risk of multiclass antibiotics in the urban surface water of the Buriganga River, Bangladesh
- Unmasking heavy metal contamination: Tracing, risk estimating and source fingerprinting from coastal sediments of the Payra River in Bangladesh
- A novel water-based direct contact cooling system for thermal management of lithium-ion batteries
- Hybrid Xception-LSTM Model for Remote Sensing: Advanced Urban Heat Island and Land Use Analysis
- Characteristics, Contamination Levels, and Ecosystem Risk Assessment of Microplastics in Surface Water of a Highly Urbanized River from a Developing Country
- Nanoscale reservoirs store solar wind-derived water on the lunar surface
- Self‐Adaptive Zwitterionic Polysilazane Coatings with Mechanical Robustness, High Transparency, and Broad‐Spectrum Antiadhesion Properties
- A deep reinforcement learning approach for joint scheduling of cascade reservoir system
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 17 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.
Rainfall variability and drought in West Africa: challenges and implications for rainfed agriculture
Authors: Meron Lakew Tefera, Giovanna Seddaiu, Alberto Carletti, Hassan Awada
Journal: Theoretical and Applied Climatology · DOI: 10.1007/s00704-024-05251-8 · Citations: 35
Matched topics: streamflow, drought
Abstract This research investigates rainfall variability and drought patterns in West Africa and their consequential impacts on rainfed agriculture, with a particular focus on vulnerability linked to weather extremes Utilizing NASA POWER/Agro-climatology data, cross-validated against observed meteorological records in the targeted countries, this study spans the years 1981 to 2021, with a particular focus on Ghana and Burkina Faso. The Standardized Precipitation Index (SPI), Standardized Prec…
Growing aridity poses threats to global land surface
Authors: Jordi Sardans, Albert Miralles, Akash Tariq, Fanjiang Zeng, Rong Wang, Josep Peñuelas
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01935-1 · Citations: 37
Matched topics: surface water
Global warming has impacted water cycle, but not exist a global study of the changes at global scale of the impacts on water available for plants. Here, cloud-optimized monthly aggregated climate reanalysis from the European Centre for Medium-Range Weather Forecasts dataset indicates that from 1960 to 2023, 27.9% of the global land surface became significantly more arid, while 20.5% became significantly less arid. This indicates a shift towards drier climates, with humid, semi-humid, and semi…
Impact of climatic variabilities and extreme incidences on the physical environment, public health, and people’s livelihoods in Ethiopia
Authors: Degfie Teku, Sintayehu Eshetu
Journal: Frontiers in Climate · DOI: 10.3389/fclim.2024.1435138 · Citations: 30
Matched topics: hydrology, hydrologic model
Ethiopia’s vulnerability to climate change is exacerbated by high poverty rates, rapid population growth, increasing prevalence of vector-borne diseases, and heavy reliance on rain-fed agriculture. This narrative review aims to compile existing data on the impacts of climate extremes on the physical environment, public health, and livelihoods in Ethiopia, thereby highlighting the significance of this region for such a study. Data were sourced from peer-reviewed journal articles from databases…
Ten practical guidelines for microclimate research in terrestrial ecosystems
Authors: Pieter De Frenne, Rémy Beugnon, David H. Klinges, Jonathan Lenoir, Pekka Niittynen, Sylvain Pincebourde et al.
Journal: Methods in Ecology and Evolution · DOI: 10.1111/2041-210x.14476 · Citations: 32
Matched topics: hydrology
Abstract Most biodiversity dynamics and ecosystem processes on land take place in microclimates that are decoupled from the climate as measured by standardised weather stations in open, unshaded locations. As a result, microclimate monitoring is increasingly being integrated in many studies in ecology and evolution. Overviews of the protocols and measurement methods related to microclimate are needed, especially for those starting in the field and to achieve more generality and standardisatio…
Spatiotemporal evolution and driving force analysis of drought characteristics in the Yellow River Basin
Authors: Meiying Wang, Yangbo Chen, Jingyu Li, Yanjun Zhao
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.113007 · Citations: 25
Matched topics: river, drought
• In 2000, YRB drought patterns shifted from intensification to easing. • From 1960 to 2022, the drought center remained in the midstreaml. • Cross-Wavelet and GeoDetector identified the spatiotemporal drivers of drought. • DEM and climate drive spatial drought; ENSO and AO affect temporal drought. Global warming intensifies extreme precipitation events, impacting society significantly, and drought is one of the most important stress factors for the ecological security of the Yellow River Bas…
Vegetation greening accelerated the propagation from meteorological to soil droughts in the Loess Plateau from a three-dimensional perspective
Authors: Haoyu Yang, Feng Ma, Xing Yuan, Peng Ji, Chenyuan Li
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132522 · Citations: 20
Matched topics: hydrologic model, drought, land surface model
Abstract not available.
Environmental drivers of dissolved organic matter composition across central European aquatic systems: A novel correlation-based machine learning and FT-ICR MS approach
Authors: Michel Gad, Narjes Tayyebi Sabet Khomami, Ronald Krieg, Jana Schor, Allan Philippe, Oliver J. Lechtenfeld
Journal: Water Research · DOI: 10.1016/j.watres.2024.123018 · Citations: 29
Matched topics: land surface model
Dissolved organic matter (DOM) present in surface aquatic systems is a heterogeneous mixture of organic compounds reflecting its allochthonous and autochthonous organic matter (OM) sources. The composition of DOM is determined by environmental factors like land use, water chemistry, and climate, which influence its release, movement, and turnover in the ecosystem. However, studying the impact of these environmental factors on DOM composition is challenging due to the dynamic nature of the sys…
A comprehensive study of recent advances, challenges and factors of nanofiltration membrane in various industrial applications
Authors: Zubaida Rukhsana Usha, Cui Liu, Shudong Zhang, Zhenyang Wang
Journal: Desalination · DOI: 10.1016/j.desal.2024.118461 · Citations: 29
Matched topics: surface water
Nanofiltration (NF) membrane was first introduced in the late 1980s, which shows the membrane properties between ultrafiltration and reverse osmosis . Impressively, the NF membrane represents significant unique properties such as enhanced selectivity toward divalent/polyvalent ions while enabling permeability of monovalent ions and small molecules <100 Da. These properties play an increasingly large role in a variety of applications, such as waste water treatment (desalination, water softenin…
Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China
Authors: Zhen He, Zhiqiang Wu, Otthein Herzog, Jinghao Hei, Lan Li, Xiang Li
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.106084 · Citations: 27
Matched topics: climate change
Abstract not available.
Drought-induced stress on rainfed and irrigated agriculture: Insights from multi-source satellite-derived ecological indicators
Authors: Yanan Chen, Ying Wang, Chaoyang Wu, Alexandre Maniçoba da Rosa Ferraz Jardim, Meihong Fang, Li Yao et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109249 · Citations: 22
Matched topics: drought, irrigation
The increasing frequency and severity of droughts, driven by rising global temperatures, are impacting crop yields. Elucidating the response of agricultural ecosystems to droughts under different management practices is vital for food security that supports the United Nations Sustainable Development Goal 2 for zero hunger. Our study revisited the spatio-temporal evolution of record-breaking drought event of 2012 in the continental United States by using a 3-month Standard Precipitation Evapot…
Human driven climate change increased the likelihood of the 2023 record area burned in Canada
Authors: Megan C. Kirchmeier‐Young, Elizaveta Malinina, Quinn E. Barber, Karen Garcia Perdomo, Salvatore R. Curasi, Yongxiao Liang et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00841-9 · Citations: 22
Matched topics: climate change, earth system model
In 2023, wildfires burned 15 million hectares in Canada, more than doubling the previous record. These wildfires caused a record number of evacuations, unprecedented air quality impacts across Canada and the northeastern United States, and substantial strain on fire management resources. Using climate models, we show that human-induced climate change significantly increased the likelihood of area burned at least as large as in 2023 across most of Canada, with more than two-fold increases in t…
TPRoGI: a comprehensive rock glacier inventory for the Tibetan Plateau using deep learning
Authors: Zhangyu Sun, Yan Hu, Adina Racoviteanu, Lin Liu, Stephan Harrison, Xiaowen Wang et al.
Journal: Earth system science data · DOI: 10.5194/essd-16-5703-2024 · Citations: 21
Matched topics: hydrology, streamflow
Abstract. Rock glaciers – periglacial landforms commonly found in high-mountain systems – are of significant scientific value for inferring the presence of permafrost, understanding mountain hydrology, and assessing climate impacts on high-mountain environments. However, inventories remain patchy in many alpine regions, and as a result they are poorly understood for some areas of High Mountain Asia such as the Tibetan Plateau. To address this gap, we compiled a comprehensive inventory of rock…
Rapid increase in spring ozone in the Pearl River Delta, China during 2013-2022
Authors: Tianhui Cao, Haichao Wang, Xiaorui Chen, Lei Li, Xiao Lu, Keding Lu et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00847-3 · Citations: 25
Matched topics: river
Surface ozone pollution is a severe air pollution problem and typically occurs in the warm season since it is driven by photochemistry. Recent studies showed a tendency for ozone pollution to spread into the cold season. Yet, less attention was paid to its evolution and causes. Here, we show general uptrends in surface ozone of 1.15 ppbv a−1 during the spring (March to May) over the past decade (2013–2022) in the Pearl River Delta, China. The meteorological shift, primarily the increase in no…
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Authors: Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldřich Rakovec, Corinna Rebmann et al.
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-5419-2024 · Citations: 7
Matched topics: hydrology, hydrologic model, streamflow, land surface model
Abstract. Profound knowledge of soil moisture and its variability plays a crucial role in hydrological modelling to support agricultural management, flood and drought monitoring and forecasting, and groundwater recharge estimation. Cosmic-ray neutron sensing (CRNS) has been recognised as a promising tool for soil moisture monitoring due to its hectare-scale footprint and decimetre-scale measurement depth. But since CRNS provides an integral measurement over several soil horizons, a direct com…
Assessment of the impacts of climate change on drought intensity and frequency using SPI and SPEI in the Southern Pre-Balkash region, Kazakhstan
Authors: Alimkulov Sayat, Makhmudova Lyazzat, Talipova Elmira, Baspakova Gaukhar, Monkayeva Gulsara
Journal: Watershed Ecology and the Environment · DOI: 10.1016/j.wsee.2024.12.001 · Citations: 14
Matched topics: water management, drought, climate change
This paper presents a study of droughts in the South Pre-Balkash region that considers climate change and its impact on the intensity and frequency of drought periods. The main objective of this study is to assess changes in climatic parameters and their impact on the development of droughts using standardized precipitation indices (SPI) and precipitation evapotranspiration (SPEI) for the period 1950–2023. Long-term rainfall and temperature data and remote sensing data from the Google Earth E…
Lithium Kinetics in Ag–C Porous Interlayer in Reservoir‐Free Solid‐State Batteries
Authors: Se Hwan Park, Kaustubh G. Naik, Bairav S. Vishnugopi, Partha P. Mukherjee, Kelsey B. Hatzell
Journal: Advanced Energy Materials · DOI: 10.1002/aenm.202405129 · Citations: 22
Matched topics: reservoir
Abstract Lithium reservoir‐free solid‐state batteries (SSBs) can potentially be energy‐dense alternatives to conventional lithium‐ion batteries. However, controlling the morphology and organization of lithium metal at a current collector remains a challenge and hampers the cycle lifetime of these types of batteries. Porous interlayers have the potential to guide uniform lithium plating and improve electrochemical performance. Factors such as stack pressure, interlayer composition, current den…
Foliar application of nano-silicon enhances drought tolerance rate of pot marigold (Calendula officinalis L.) by regulation of abscisic acid signaling
Authors: Ghasem Eghlima, Meisam Mohammadi, Mohammad-Ebrahim Ranjabr, Delaram Nezamdoost, Ayaz M. Mammadov
Journal: BMC Plant Biology · DOI: 10.1186/s12870-024-05986-6 · Citations: 22
Matched topics: drought
content, and morphological characteristics, photosynthetic pigments content, total protein, and antioxidant enzymes activity. The positive effect of nano-silicon application is correlated with enhancing antioxidant enzymes activity, membrane stability, and cell osmotic potential. Also, one of the most critical mechanisms of silicon’s effect on the alleviation of stress damage is the regulation of abscisic acid signaling. As a result, foliar application of nano-silicon could be introduced as a…
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.
Artificial intelligence for flood risk management: A comprehensive state-of-the-art review and future directions
Authors: Zhewei Liu, Natalie Coleman, Flavia Ioana Patrascu, Kai Yin, Xiangpeng Li, Ali Mostafavi
Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2024.105110 · Citations: 39
Matched topics: flood
Abstract not available.
The impact of dam management and rainfall patterns on flooding in the Niger Delta: using Sentinel-1 SAR data
Authors: Desmond Rowland Eteh, Francis E. Egobueze, Moses Paaru, Anslem O. Otutu, Ifunanya Osondu
Journal: Discover Water · DOI: 10.1007/s43832-024-00185-8 · Citations: 12
Matched topics: hydrology, hydrologic model, streamflow, flood, hydropower, surface water
This study explored how dam operation and rainfall patterns interact to influence flooding in the Niger Delta, Nigeria. This study utilizes Sentinel-1 Synthetic Aperture Radar (SAR) data to analyze the flood events from 2018 to 2022, focusing on key locations such as Obiafu (downstream), Kainji/Jebba, and Lagdo dams (upstream). Analyzed Sentinel-1 satellite data [European Space Agency (ESA), 2018–2022], shuttle Radar Topography Mission, alongside rainfall data [Center for Hydrometeorology and…
Experimental study on oil recovery characteristics of different CO2 flooding methods in sandstone reservoirs with NMR
Authors: Yonggang Ding, Lyu Qiao, Zhihong Li, Ruobing Luo, Guodong Han, Jingqiang Tan et al.
Journal: Fuel · DOI: 10.1016/j.fuel.2024.134124 · Citations: 26
Matched topics: reservoir, flood
Abstract not available.
Quantifying LID impact: A modified metric for enhanced flood mitigation and urban resilience
Authors: Shakeel Ahmad, Haifeng Jia, Anam Ashraf, Dingkun Yin, Zhengxia Chen, Rasheed Ahmed et al.
Journal: Resources Conservation and Recycling · DOI: 10.1016/j.resconrec.2024.108089 · Citations: 11
Matched topics: hydrology, hydrologic model, runoff, water management, flood
Abstract not available.
Climate change exacerbates compound flooding from recent tropical cyclones
Authors: Lauren Grimley, Katherine E. Hollinger Beatty, Antonia Sebastian, Shintaro Bunya, Gary M. Lackmann
Journal: npj natural hazards. · DOI: 10.1038/s44304-024-00046-3 · Citations: 14
Matched topics: runoff, streamflow, flood, climate change
Abstract Tropical cyclones (TCs) generate substantial damage raising concerns about how climate change may amplify their impacts. However, linking changes in TC characteristics (wind, precipitation) to shifts in flood hazards and exposure, particularly due to the interaction of multiple drivers, is challenging. In this study, we use highly resolved physics-based models to investigate how flooding from three recent TCs in North and South Carolina would change under 4 degrees Celsius of warming…
Enhancing generalizability of data-driven urban flood models by incorporating contextual information
Authors: Tabea Cache, Milton S. Gomez, Tom Beucler, Jovan Blagojević, João P. Leitão, Nadav Peleg
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-5443-2024 · Citations: 19
Matched topics: hydrology, flood
Abstract. Fast urban pluvial flood models are necessary for a range of applications, such as near real-time flood nowcasting or processing large rainfall ensembles for uncertainty analysis. Data-driven models can help overcome the long computational time of traditional flood simulation models, and the state-of-the-art models have shown promising accuracy. Yet the lack of generalizability of data-driven urban pluvial flood models to both unseen rainfall and distinctively different terrain, at …
Characterization and formation mechanism of the catastrophic flash flood-debris flow hazard triggered by the July 2023 extreme rainstorm in Hantai Gully of Beijing, China
Authors: Junxue Ma, Huiran Gao, Chong Xu, Shanzhong Qi
Journal: Landslides · DOI: 10.1007/s10346-024-02433-3 · Citations: 19
Matched topics: runoff, flood
Abstract not available.
Machine Learning and AI for Hydrological Prediction
This week’s 10 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.
Optimizing urban green space configurations for enhanced heat island mitigation: A geographically weighted machine learning approach
Authors: Yue Zhang, Jingtian Ge, Siyuan Wang, Cong Dong
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.106087 · Citations: 87
Matched topics: land surface model
Abstract not available.
Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges
Authors: Daifeng Peng, Xuelian Liu, Yongjun Zhang, Haiyan Guan, Yansheng Li, Lorenzo Bruzzone
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2024.104282 · Citations: 42
Matched topics: earth system model
• Deliver a taxonomy of deep learning change detection (DLCD) techniques for optical remote sensing images from the aspect of algorithm granularity. • Review and analyze the merits and limitations of DLCD techniques for optical remote sensing images. • Enumerate and summarize the main CD datasets for optical remote sensing images. • Summarize the future directions and challenges of deep learning change detection techniques. Change detection (CD) aims to compare and analyze images of identical…
Runoff prediction using combined machine learning models and signal decomposition
Authors: Xiaoli Zhang, Ruoyu Wang, Wenchuan Wang, Qimeng Zheng, Rui Ma, Rong Tang et al.
Journal: Journal of Water and Climate Change · DOI: 10.2166/wcc.2024.663 · Citations: 15
Matched topics: hydrology, hydrologic model, runoff, streamflow, hydropower
ABSTRACT Accurate forecasting of increasingly unpredictable river runoff is essential for effective water resource management in the face of climate change and human activities. This study uses four machine learning models of long short-term memory neural networks (LSTM), support vector machine (SVM), random forest, and artificial neural network models to improve runoff forecasting accuracy and explore combined forecasting models’ effectiveness. This study develops three advanced combined for…
Combining graph neural network and convolutional LSTM network for multistep soil moisture spatiotemporal prediction
Authors: Ziwei Pan, Lei Xu, Nengcheng Chen
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132572 · Citations: 33
Matched topics: land surface model
Abstract not available.
Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020
Authors: Xingli Qin, Bingfang Wu, Hongwei Zeng, Miao Zhang, Fuyou Tian
Journal: Scientific Data · DOI: 10.1038/s41597-024-04248-2 · Citations: 23
Matched topics: hydrology, land surface model
The global gridded crop production dataset at 10 km resolution from 2010 to 2020 (GGCP10) for maize, wheat, rice, and soybean was developed to address limitations of existing datasets characterized by coarse resolution and discontinuous time spans. GGCP10 was generated using a series of adaptively trained data-driven crop production spatial estimation models integrating multiple data sources, including statistical data, gridded production data, agroclimatic indicator data, agronomic indicator…
Associations between deep learning runoff predictions and hydrogeological conditions in Australia
Authors: Stephanie Clark, Jasmine B.D. Jaffrés
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132569 · Citations: 13
Matched topics: hydrologic model, runoff, streamflow, land surface model
• Catchment attributes provide context for interpreting long short-term memory (LSTM) prediction performance. • This multiple-catchment model integrates hydrogeological domain knowledge. • Catchment characteristics include climate, topography, geology and surface conditions. • Strengths: frequent or variable rainfall; hilly terrain; low permeability. • Weaknesses: flat land; sporadic, slow flows; loss to groundwater; summer wet season. To capture the complexity of hydrological systems across …
Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-learning technique in river water quality management: An experiment on the Mahanadi catchment, Odisha, India
Authors: Abhijeet Das
Journal: Desalination and Water Treatment · DOI: 10.1016/j.dwt.2024.100969 · Citations: 16
Matched topics: river, water management, surface water
River water quality has grown in importance since river water needs to be treated to ensure safe, sustainable use because it is being contaminated by a variety of human activities. Methods like Water Quality Index (WQI) and Geographical Information System (GIS) are both blended together, thereby combine several sources of information on water quality into a comprehensible format that offers a means of succinctly summarising the overall state of the water quality in a form that policymakers ca…
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
Authors: Jiawen Zhang, Dongdong Kong, Jianfeng Li, Jianxiu Qiu, Yongqiang Zhang, Xihui Gu et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132549 · Citations: 19
Matched topics: hydrologic model, streamflow
Abstract not available.
Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam
Authors: Nhat‐Duc Hoang, Phu-Anh-Huy Pham, Thanh‐Canh Huynh, Minh-Tu Cao, Dieu Tien Bui
Journal: Earth Science Informatics · DOI: 10.1007/s12145-024-01582-2 · Citations: 22
Matched topics: land surface model
Abstract not available.
Ensemble data assimilation for operational streamflow predictions in the next generation (NextGen) framework
Authors: Ehsan Foroumandi, Hamid Moradkhani, Witold F. Krajewski, Fred L. Ogden
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.106306 · Citations: 17
Matched topics: hydrologic model, streamflow
The National Weather Service (NWS) operates the National Water Model (NWM) to provide continental-scale streamflow forecasting across the United States. Despite the broad scope of NWM, it faces limitations in delivering operational-level predictions. To overcome these limitations, the NWS embarked on development of the Next Generation Water Resources Modeling Framework (NextGen). However, a key shortcoming of the NextGen and NWM is the lack of robust data assimilation (DA) step. This study pr…
Water Management, Irrigation, and Groundwater
Water management research this week spans 6 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.
Revealing nitrate sources seasonal difference between groundwater and surface water in China’s largest fresh water lake (Poyang Lake): Insights from sources proportion, dynamic evolution and driving forces
Authors: Xihua Wang, Zejun Liu, Y. Jun Xu, Boyang Mao, Shunqing Jia, Cong Wang et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.178134 · Citations: 23
Matched topics: seasonal, surface water
Abstract not available.
Transformation of seasonal distribution of river flow in the Zhaiyk–Caspian water basin under changing climate conditions
Authors: Zhanibek Smagulov, Lyazzat Makhmudova, Sayat Alimkulov, Elmira Talipova, A. R. Zagidullina, Birimbayeva Lyazzat et al.
Journal: Journal of Water and Climate Change · DOI: 10.2166/wcc.2024.537 · Citations: 6
Matched topics: hydrology, river, runoff, streamflow, seasonal
ABSTRACT Under conditions of increasing climatic uncertainty, this scientific study analyzes multi-year trends of seasonal distribution of river flow in the Zhaiyk–Caspian water basin. In specific natural conditions of the territory under consideration, under scarce water resources availability in the vast territory, and exceptional variability of river flow in time, the problem of water supply is especially important. The paper considers multi-year dynamics of runoff-forming factors and flow…
Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
Authors: Laia Estrada, Xavier García, Joan Saló-Grau, Rafael Marcé, Antoni Munné, Vicenç Acuña
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-5353-2024 · Citations: 8
Matched topics: hydrology, hydrologic model, streamflow, water management
Abstract. The issue of water scarcity, exacerbated by climate change and demographic increase, has become a growing concern in many regions throughout the world. Understanding hydrological behaviour to promote resilient and sustainable water management is paramount. Hydrological models that integrate natural processes and anthropogenic alterations of the basin’s hydrology are a powerful tool to support decision-making. We developed a SWAT+ hydrological model including stakeholder expert knowl…
Assessing water demand and supply in the Upper Indus Basin using integrated hydrological modeling under varied socioeconomic scenarios
Authors: Sareer Ahmad, Muhammad Waseem, Hira Wahab, Abdul Qadeer Khan, Zulqarnain Jehan, Izhar Ahmad et al.
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02310-3 · Citations: 8
Matched topics: hydrology, hydrologic model, streamflow, water management
This study projects future water demand scenarios in the Upper Indus Basin, focusing on reference, high population growth, increased irrigation, and lower population growth scenarios. The baseline scenario indicates a significant rise in water demand from 35.74 billion cubic meters (BCMs) in 2020 to 60.28 BCM by 2035, driven by population growth and increased domestic water consumption. High population growth exacerbates this demand, reaching 62.96 BCM by 2035. This research aims to address d…
Recent progress in 2D-MXene-based membranes for water treatments; fabrication, properties, and advanced desalination application
Authors: Muhammad Usman Hameed, Zainab Amjad, Basem Al Alwan, Atef El Jery, Hassan M.A. Hassan, Luqman Ali et al.
Journal: Desalination · DOI: 10.1016/j.desal.2024.118462 · Citations: 22
Matched topics: surface water
Abstract not available.
An integrated approach for spatio-temporal assessment and attribution of water resources carrying capacity: Incorporating AHP, TOPSIS, and lorenz asymmetry coefficient methods
Authors: Ting Zhou, Lin Teng, Ruojie Cheng, Guoqing Wang, Bo Jiang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132536 · Citations: 21
Matched topics: water management
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 10 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.
Insights into Bubble Dynamics in Water Splitting
Authors: Jaemin Park, Min Jae Kim, Youngeun Kim, Siyoung Lee, Sunghak Park, Wooseok Yang
Journal: ACS Energy Letters · DOI: 10.1021/acsenergylett.4c02736 · Citations: 51
Matched topics: water management, surface water
Water splitting is crucial for green hydrogen production, yet gas bubble dynamics has been underexplored until recently. Bubbles reduce electrochemically active surface area, increase overpotentials, and cause optical losses in (photo)electrochemical systems. Recent advancements in both theoretical understanding and experimental techniques have led to a deeper appreciation of the role that bubble dynamics plays in improving water splitting performance. The present review revisits the fundamen…
Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow
Authors: Rana Muhammad Adnan, Reham R. Mostafa, Mo Wang, Kulwinder Singh Parmar, Özgür Kişi, Mohammad Zounemat‐Kermani
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132496 · Citations: 40
Matched topics: hydrologic model, streamflow
Abstract not available.
Occurrence, seasonal variation, and environmental risk of multiclass antibiotics in the urban surface water of the Buriganga River, Bangladesh
Authors: Umma Salma, Y. Nishimura, Masahiro Tokumura, Anwar Hossain, Kozo Watanabe, Kazushi Noro et al.
Journal: Chemosphere · DOI: 10.1016/j.chemosphere.2024.143956 · Citations: 23
Matched topics: river, seasonal, surface water
Abstract not available.
Unmasking heavy metal contamination: Tracing, risk estimating and source fingerprinting from coastal sediments of the Payra River in Bangladesh
Authors: Salma Sultana, Niger Sultana, Mohammad Moniruzzaman, Muhammad Rehan Dastagir, Md. Kamal Hossain
Journal: Marine Pollution Bulletin · DOI: 10.1016/j.marpolbul.2024.117455 · Citations: 25
Matched topics: river, runoff
Abstract not available.
A novel water-based direct contact cooling system for thermal management of lithium-ion batteries
Authors: Tian Zhou, Junhui Wu, Xuan Liu, Xiaolei Jiao, Nianben Zheng, Zhiqiang Sun
Journal: Journal of Energy Storage · DOI: 10.1016/j.est.2024.114973 · Citations: 24
Matched topics: water management, surface water
Abstract not available.
Hybrid Xception-LSTM Model for Remote Sensing: Advanced Urban Heat Island and Land Use Analysis
Authors: Ashutosh Kumar Singh, Ch L. N. Deepika, K. V. Shahnaz, L. Bhagyalakshmi, K Sharada, S. Sarupriya et al.
Journal: Remote Sensing in Earth Systems Sciences · DOI: 10.1007/s41976-024-00182-4 · Citations: 27
Matched topics: land surface model
Abstract not available.
Characteristics, Contamination Levels, and Ecosystem Risk Assessment of Microplastics in Surface Water of a Highly Urbanized River from a Developing Country
Authors: Khadijatul Kubra Riya, Md Anisuzzaman, Md. Abdus Samad Azad, As-Ad Ujjaman Nur, Partho Banik, Bilal Ahamad Paray et al.
Journal: ACS Omega · DOI: 10.1021/acsomega.4c01528 · Citations: 16
Matched topics: hydrology, river, surface water
≪ 0.01), with station S3 exhibiting the highest count and station S4 the lowest. Factors such as point sources of domestic and municipal waste, as well as river navigation, likely contribute to these variations. The predominant types, colors, and sizes of MPs observed were fiber, transparent, and <0.5 mm, respectively. Notably, 80% of the MPs consisted of polyethylene (PE) and polypropylene (PP), commonly associated with land-based sources like packaging materials. Despite minor ecological ri…
Nanoscale reservoirs store solar wind-derived water on the lunar surface
Authors: Alexander Kling, Jennika Greer, M. S. Thompson, P. R. Heck, Dieter Isheim, David N. Seidman
Journal: Earth and Planetary Science Letters · DOI: 10.1016/j.epsl.2024.119178 · Citations: 18
Matched topics: reservoir, surface water
• Solar wind hydrogen and water measured in lunar grains via novel coordinated analyses. • Solar wind hydrogen and water are retained in space weathered rims of lunar grains. • Hydrogen and water are stored in higher concentrations in nanoscale vesicles. • We propose a mechanism to form molecular water within defects in space weathered rims. • Variability of water in rims may influence the behavior of water on the lunar surface. Observations of widespread hydration across the lunar surface co…
Self‐Adaptive Zwitterionic Polysilazane Coatings with Mechanical Robustness, High Transparency, and Broad‐Spectrum Antiadhesion Properties
Authors: Yinjie Huang, Zhenqiang Zhang, Bin Zhang, Chunfeng Ma, Guangzhao Zhang
Journal: Advanced Materials · DOI: 10.1002/adma.202413035 · Citations: 22
Matched topics: surface water
Antiadhesive coatings have been extensively studied owing to their wide applications in biology, environment, and energy. However, developing a mechanically robust coating with broad-spectrum antiadhesion properties remains challenging. Herein, a novel strategy for preparing hard yet flexible and self-adaptive zwitterionic polysilazane coatings with broad-spectrum antiadhesion properties (anti-biofouling, anti-liquid adhesion, and anti-scaling) is proposed. The coatings are prepared by combin…
A deep reinforcement learning approach for joint scheduling of cascade reservoir system
Authors: Wei Luo, Chao Wang, Yunhui Zhang, Jianshi Zhao, Zhifeng Huang, Jiaqing Wang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132515 · Citations: 17
Matched topics: reservoir, hydropower
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 1000 |
| After deduplication | 713 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 663 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Hydrology | 7 |
| Hydrology and earth system sciences | 3 |
| Sustainable Cities and Society | 2 |
| Journal of Water and Climate Change | 2 |
| Desalination | 2 |
| npj Climate and Atmospheric Science | 2 |
| ACS Energy Letters | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Theoretical and Applied Climatology | 1 |
| International Journal of Disaster Risk Reduction | 1 |
| Communications Earth & Environment | 1 |
| Discover Water | 1 |
| Frontiers in Climate | 1 |
| Chemosphere | 1 |
| Methods in Ecology and Evolution | 1 |
| Fuel | 1 |
| Resources Conservation and Recycling | 1 |
| Ecological Indicators | 1 |
| Marine Pollution Bulletin | 1 |
| Water Research | 1 |
| Journal of Energy Storage | 1 |
| npj natural hazards. | 1 |
| Scientific Data | 1 |
| The Science of The Total Environment | 1 |
| Remote Sensing in Earth Systems Sciences | 1 |
| Agricultural Water Management | 1 |
| Earth system science data | 1 |
| ACS Omega | 1 |
| Desalination and Water Treatment | 1 |
| Landslides | 1 |
| Watershed Ecology and the Environment | 1 |
| Earth and Planetary Science Letters | 1 |
| Applied Water Science | 1 |
| Advanced Energy Materials | 1 |
| BMC Plant Biology | 1 |
| Earth Science Informatics | 1 |
| Advanced Materials | 1 |
| Environmental Modelling & Software | 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