Weekly Literature Review
Week 44 · October 28–November 3, 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 Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condi, with 86 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 Land Subsidence: Impact of Climate Extremes and Human Activities
- Quantifying the drought sensitivity of vegetation types in northern China from 1982 to 2022
- Balancing Water Yield and Water Use Efficiency Between Planted and Natural Forests: A Global Analysis
- Investigating agricultural drought in Northern Italy through explainable Machine Learning: Insights from the 2022 drought
- Global Distributions of Reactive Iron and Aluminum Influence the Spatial Variation of Soil Organic Carbon
- Enhanced soil moisture–temperature coupling could exacerbate drought under net-negative emissions
- Potential for 50% Mechanical Strength Decline in Sandstone Reservoirs Due to Salt Precipitation and CO2–Brine Interactions During Carbon Sequestration
- Supplementary irrigation and reduced nitrogen application improve the productivity, water and nitrogen use efficiency of maize-soybean intercropping system in the semi-humid drought-prone region of China
- Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene
- Analyzing the Future Climate Change Impacts on Meteorological Parameters Using the LARS-WG Model
- Enhance oil recovery by carbonized water flooding in tight oil reservoirs
- Ensemble modeling of the hydrological impacts of climate change: A case study of the Baro River sub-basin, Ethiopia
- Vertical bedrock shifts reveal summer water storage in Greenland ice sheet
- Plant community composition and traits modulate the impacts of drought intensity on soil microbial community composition and function
- Global Distribution of Alien Mammals Under Climate Change
- Exploring climate stabilisation at different global warming levels in ACCESS-ESM-1.5
- Flood Risk Assessment and Extreme Precipitation
- Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
- How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?
- Large-scale flood forecasting in coastal reservoir with hydrological modeling
- Simulation of floods under the influence of effective factors in hydraulic and hydrological models using HEC-RAS and MIKE 21
- Integrated risk analysis for urban flooding under changing climates
- Nonlinear Tide‐River‐Surge Interactions and Their Impacts on Compound Flooding During Typhoon Hato in the Pearl River Delta
- Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River floodplain, Bangladesh
- Machine Learning and AI for Hydrological Prediction
- Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
- AI-driven optimization of agricultural water management for enhanced sustainability
- Comparison of transformer, LSTM and coupled algorithms for soil moisture prediction in shallow-groundwater-level areas with interpretability analysis
- Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain
- A parsimonious setup for streamflow forecasting using CNN-LSTM
- Variability of bio-optical properties of Sundarbans mangrove estuarine ecosystem using elemental analysis, Sentinel 3 OLCI imageries and neural network models
- Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge‐Based Framework and Deep Learning
- Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling
- Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach.
- Machine learning-driven optimization of gas diffusion layer microstructure for PEM fuel cells
- An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality
- Water Management, Irrigation, and Groundwater
- Persistent Water Scarcity Due To High Irrigation Demand in Arid China: A Case Study in the North Slope of the Tianshan Mountains
- The Potential of Hydrogeodesy to Address Water‐Related and Sustainability Challenges
- Harvesting the sun twice: Energy, food and water benefits from agrivoltaics in East Africa
- Projected impacts of climate change on global irrigation water withdrawals
- Review of Evaporative Cooling Systems for Buildings in Hot and Dry Climates
- Uncertain multi‐objective programming approach for planning supplementary irrigation areas in rainfed agricultural regions
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Effects of cascade hydropower stations on hydrologic cycle in Xiying river basin, a runoff in Qilian mountain
- Water erosion processes: Mechanisms, impact, and management strategies
- Metal-Organic Frameworks (MOFs) for Oxo-Anion Removal in Wastewater Treatment: Advancements and Applications
- Intercropping increases plant water availability and water use efficiency: A synthesis
- Projecting dry-wet abrupt alternation across China from the perspective of soil moisture
- Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China
- Climate change is intensifying rainfall erosivity and soil erosion in West Africa
- An Attention‐Based Explainable Deep Learning Approach to Spatially Distributed Hydrologic Modeling of a Snow Dominated Mountainous Karst Watershed
- Direct vegetation response to recent CO2 rise shows limited effect on global streamflow
- Widespread and persistent oligotrophication of northern rivers
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 16 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 Land Subsidence: Impact of Climate Extremes and Human Activities
Authors: Laurie S. Huning, Charlotte Love, Hassan Anjileli, Farshid Vahedifard, Yunxia Zhao, Pedro Luiz Borges Chaffe et al.
Journal: Reviews of Geophysics · DOI: 10.1029/2023rg000817 · Citations: 52
Matched topics: hydrology, hydrologic model
Abstract Globally, land subsidence (LS) often adversely impacts infrastructure, humans, and the environment. As climate change intensifies the terrestrial hydrologic cycle and severity of climate extremes, the interplay among extremes (e.g., floods, droughts, wildfires, etc.), LS, and their effects must be better understood since LS can alter the impacts of extreme events, and extreme events can drive LS. Furthermore, several processes causing subsidence (e.g., ice‐rich permafrost degradation…
Quantifying the drought sensitivity of vegetation types in northern China from 1982 to 2022
Authors: Bo Yuan, Shanchuan Guo, Xingang Zhang, Haowei Mu, Shengpeng Cao, Zilong Xia et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2024.110293 · Citations: 49
Matched topics: drought
Abstract not available.
Balancing Water Yield and Water Use Efficiency Between Planted and Natural Forests: A Global Analysis
Authors: Shulan Sun, Wenhua Xiang, Shuai Ouyang, Yanting Hu, Changhui Peng
Journal: Global Change Biology · DOI: 10.1111/gcb.17561 · Citations: 32
Matched topics: hydrology, streamflow, water management
can maximize the water yield and WUE in planted and natural forests. Water yield coefficient in planted forests was primarily controlled by the factors related to tree growth (i.e., tree height, DBH), while that of natural forest mainly affected by stand structure (i.e., LAI, stand density, DBH). WUE in planted forest was more sensitive to climate than in natural forests. This work highlights the critical role of natural forests in water supply and the importance of tree species selection and…
Investigating agricultural drought in Northern Italy through explainable Machine Learning: Insights from the 2022 drought
Authors: Chenli Xue, Aurora Ghirardelli, Jianping Chen, Paolo Tarolli
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2024.109572 · Citations: 33
Matched topics: drought, land surface model
• Explainable ensemble learning is proposed for agricultural drought monitoring. • Agricultural drought at different intensities is governed by various factors. • The 2022 summer drought was primarily influenced by meteorology and soil factors. • Clay and SOC content are crucial for mitigating agricultural drought effects. • Tailored measures taken based on local conditions can effectively prevent drought. Agricultural drought is a complex natural hazard involving multiple variables and has g…
Global Distributions of Reactive Iron and Aluminum Influence the Spatial Variation of Soil Organic Carbon
Authors: Siyu Ren, Chuankuan Wang, Zhenghu Zhou
Journal: Global Change Biology · DOI: 10.1111/gcb.17576 · Citations: 30
Matched topics: earth system model
more than 0.74). The variance decomposition analysis showed that Fe/Al (hydr)oxides explained the most proportion of variance for topsoil (0-30 cm) and subsoil (30-100 cm) SOC. Therefore, soil Fe/Al (hydr)oxides play a stronger role in explaining the spatial variation of SOC than well-studied climate, edaphic, vegetated, and soil depth factors in both topsoil and subsoil. Collectively, the planetary-scale significance of soil Fe/Al (hydr)oxides for SOC highlights that soil Fe/Al (hydr)oxides …
Enhanced soil moisture–temperature coupling could exacerbate drought under net-negative emissions
Authors: Sanjit Kumar Mondal, Soon‐Il An, Seung‐Ki Min, Tong Jiang, Buda Su
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00820-0 · Citations: 15
Matched topics: streamflow, water management, drought, earth system model
Our understanding of drought evolution and land-atmosphere interactions under climate mitigation scenarios remains limited. Here, we analyzed future drought under net-zero and net-negative emission scenarios using the Community Earth System Model version 2, particularly focusing on three atmospheric CO2 states: linearly increases, decreases, and a return to the initial state. Interestingly, results revealed that net-zero emissions are more effective for drought mitigation than net-negative ta…
Potential for 50% Mechanical Strength Decline in Sandstone Reservoirs Due to Salt Precipitation and CO2–Brine Interactions During Carbon Sequestration
Authors: Mohammad Nooraiepour, Krzysztof Polański, Mohammad Masoudi, Szymon Kuczyński, Hannelore Derluyn, Liebert Parreiras Nogueira et al.
Journal: Rock Mechanics and Rock Engineering · DOI: 10.1007/s00603-024-04223-8 · Citations: 29
Matched topics: reservoir
Abstract Predictive modeling of CO 2 storage sites requires a detailed understanding of physico-chemical processes and scale-up challenges. Dramatic injectivity decline may occur due to salt precipitation pore clogging in high-salinity aquifers during subsurface CO 2 injection. This study aims to elucidate the impact of CO 2 -induced salt crystallization in the porous medium on the geomechanical properties of reservoir sandstones. As the impact of salt precipitation cannot be isolated from th…
Supplementary irrigation and reduced nitrogen application improve the productivity, water and nitrogen use efficiency of maize-soybean intercropping system in the semi-humid drought-prone region of China
Authors: Zhengxin Zhao, Zongyang Li, Yao Li, Lianyu Yu, Xiaobo Gu, Huanjie Cai
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109126 · Citations: 24
Matched topics: drought, irrigation
Maize-soybean intercropping systems are widespread in North China. However, the combined effects of supplementary irrigation and different nitrogen (N) application rates on the productivity, water use efficiency (WUE), and N use efficiency (NUE) of such systems remain unclear. A field experiment was conducted in a semi-humid drought-prone region in Northwest China in 2022 and 2023 to assess the interaction effects of supplemental irrigation and different N application rates on the crop yields…
Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene
Authors: Wanshu Nie, Sujay V. Kumar, Augusto Getirana, Long Zhao, Melissa L. Wrzesien, Goutam Konapala et al.
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2403707121 · Citations: 19
Matched topics: runoff, streamflow, water management
Climate change and human activities alter the global freshwater cycle, causing nonstationary processes as its distribution shifting over time, yet a comprehensive understanding of these changes remains elusive. Here, we develop a remote sensing-informed terrestrial reanalysis and assess the nonstationarity of and interconnections among global water cycle components from 2003 to 2020. We highlight 20 hotspot regions where terrestrial water storage exhibits strong nonstationarity, impacting 35%…
Analyzing the Future Climate Change Impacts on Meteorological Parameters Using the LARS-WG Model
Authors: Mohammed A. Dheyaa, Mustafa Al-Mukhtar, Khalid Shemal
Journal: Civil Engineering Journal · DOI: 10.28991/cej-2024-010-11-019 · Citations: 23
Matched topics: streamflow, climate change
This research aims to evaluate the impacts of climate changes and reveal the future trends on meteorological parameters, i.e., precipitation and temperature effects, in three major cities in Iraq, namely Baghdad, Wasit, and Maysan, which are located along the Tigris River basin. The LARS-WG8.0 model was employed, and five GCMs were used within CMIP6 under three different scenarios, i.e., SSP126, SSP245, and SSP585, for the period 2021-2100. The observed and simulated data were tested by the s…
Enhance oil recovery by carbonized water flooding in tight oil reservoirs
Authors: Le Xue, Jie Zhang, Gang Chen, Xingyu Wang, Xing Huang, Xiang Li et al.
Journal: Geoenergy Science and Engineering · DOI: 10.1016/j.geoen.2024.213430 · Citations: 21
Matched topics: reservoir, flood
Abstract not available.
Ensemble modeling of the hydrological impacts of climate change: A case study of the Baro River sub-basin, Ethiopia
Authors: Bekele Terefe Gebisa, Wakjira Takala Dibaba
Journal: Hydrology research · DOI: 10.2166/nh.2024.066 · Citations: 4
Matched topics: hydrology, hydrologic model, runoff, streamflow, water management
ABSTRACT Given the Baro River basin’s high climatic variability and frequent flooding, climate change is expected to exacerbate the existing issues in the region. Three best-performing climate models from Coupled Model Intercomparison Project phase 6 (CMIP6) were used to examine the potential impact of climate change on the hydrology of the Baro River sub-basin. The ensemble of the climate models were bias-corrected for the climate change analysis and a calibrated and validated Soil and Water…
Vertical bedrock shifts reveal summer water storage in Greenland ice sheet
Authors: Jiangjun Ran, P. Ditmar, M. R. van den Broeke, Lin Liu, R. Klees, Shfaqat Abbas Khan et al.
Journal: Nature · DOI: 10.1038/s41586-024-08096-3 · Citations: 23
Matched topics: streamflow
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Plant community composition and traits modulate the impacts of drought intensity on soil microbial community composition and function
Authors: Natalie J. Oram, Fiona Brennan, Nadine Praeg, Richard D. Bardgett, Paul Illmer, Johannes Ingrisch et al.
Journal: Soil Biology and Biochemistry · DOI: 10.1016/j.soilbio.2024.109644 · Citations: 23
Matched topics: drought
Terrestrial ecosystems are increasingly threatened by extreme drought events. Soil microbial communities are central to terrestrial ecosystem function via their role in regulating biogeochemical cycling. Consequently, the impact of increasingly intense drought events on soil microbial communities will have knock-on effects for how ecosystems cope with climate change. In an outdoor grassland mesocosm experiment, we determined how increasing drought intensity affects bacterial and fungal commun…
Global Distribution of Alien Mammals Under Climate Change
Authors: Dino Biancolini, Michela Pacifici, Mattia Falaschi, Céline Bellard, Tim M. Blackburn, Gentile Francesco Ficetola et al.
Journal: Global Change Biology · DOI: 10.1111/gcb.17560 · Citations: 23
Matched topics: climate change
The recent thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services reaffirmed biological invasions as a major threat to biodiversity. Anticipating biological invasions is crucial for avoiding their ecological and socio-economic impacts, particularly as climate change may provide new opportunities for the establishment and spread of alien species. However, no studies have combined assessments…
Exploring climate stabilisation at different global warming levels in ACCESS-ESM-1.5
Authors: Andrew D. King, Tilo Ziehn, Matthew A. Chamberlain, Alexander R Borowiak, Josephine R. Brown, Liam Cassidy et al.
Journal: Earth System Dynamics · DOI: 10.5194/esd-15-1353-2024 · Citations: 23
Matched topics: earth system model
Abstract. Under the Paris Agreement, signatory nations aim to keep global warming well below 2 °C above pre-industrial levels and preferably below 1.5 °C. This implicitly requires achieving net-zero or net-negative greenhouse gas emissions to ensure long-term global temperature stabilisation or reduction. Despite this requirement, there have been few analyses of stabilised climates, and there is a lack of model experiments to address our need for understanding the implications of the Paris Ag…
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.
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
Authors: Muhammad Tayyab, Muhammad Hussain, Jiquan Zhang, Safi Ullah, Zhijun Tong, Zahid Ur Rahman et al.
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.123094 · Citations: 38
Matched topics: flood
Abstract not available.
How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?
Authors: Siyu Zhu, Zhi Li, Mengye Chen, Yixin Wen, Shang Gao, Jiaqi Zhang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132257 · Citations: 26
Matched topics: hydrologic model, streamflow, water management
• Quantifying the enhancements of IMERG V07 against V06 over CONUS. • We evaluated the hydrologic utility of V07 over V06. • Both precipitation rates and streamflow simulation are improved by IMERG V07. Precipitation, a crucial element of the water cycle, significantly impacts surface streamflow and flooding dynamics. The latest version of Integrated Multi-satellitE Retrievals for GPM (IMERG V07) has garnered global attention for its advancements over its predecessor, IMERG V06. However, the …
Large-scale flood forecasting in coastal reservoir with hydrological modeling
Authors: Vijay Suryawanshi, Ramesh Honnasiddaiah, T. Nasar
Journal: Arabian Journal of Geosciences · DOI: 10.1007/s12517-024-12109-w · Citations: 6
Matched topics: hydrologic model, runoff, streamflow, reservoir, flood, land surface model
Abstract not available.
Simulation of floods under the influence of effective factors in hydraulic and hydrological models using HEC-RAS and MIKE 21
Authors: Sara Ansarifard, Morteza Eyvazi, Mahsa kalantari, Behrooz Mohseni, Mahdi Ghorbanifard, Hadi Jafakesh Moghaddam et al.
Journal: Discover Water · DOI: 10.1007/s43832-024-00155-0 · Citations: 17
Matched topics: hydrologic model, streamflow, flood
Abstract Simulating floods and creating vulnerability maps are essential in urban watershed management systems. The present research aimed to simulate floods and assess floodplain risk in the Khalkai watershed located in Gilan Province, Iran. This river is characterized by extensive agricultural areas and urban areas that become flooded during most rainy seasons. Hence, an accurate assessment of flood extent and behavior is necessary. This study employs HEC-HMS, HEC-RAS, and MIKE 21 for advan…
Integrated risk analysis for urban flooding under changing climates
Authors: Wenyu Yang, Ziyong Zhao, Liping Pan, Ruifei Li, Shixue Wu, Pei Hua et al.
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103243 · Citations: 15
Matched topics: hydrology, runoff, flood
• Downscaled GCM projection was coupled with a city-scale hydraulic model • The kNN-based analog method showed a good performance in GCM downscaling • Climate change exacerbated the interannual variability of precipitation and flood • Long-term flood magnitude increased under SSP5–8.5 but decreased under SSP1–2.6 • Short-term extreme floods significantly increased under climate change Urban flooding poses significant threats to human lives and urban development worldwide, while the impact of …
Nonlinear Tide‐River‐Surge Interactions and Their Impacts on Compound Flooding During Typhoon Hato in the Pearl River Delta
Authors: Haoxuan Du, Kai Fei, Liang Gao
Journal: Journal of Geophysical Research Oceans · DOI: 10.1029/2023jc020673 · Citations: 14
Matched topics: river, streamflow, flood
Abstract In coastal areas, multiple hydrodynamic processes co‐occur, including the astronomical tide, river discharge, and storm surge. Their propagation and interaction within coastal tidal river result in strong nonlinear behavior in inland areas. This study employed a hydrodynamic model and continuous wavelet transform analysis to investigate the complex tide‐river‐surge interactions and their impacts on compound flooding in the West River of the Pearl River Delta during an extreme typhoon…
Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River floodplain, Bangladesh
Authors: Shapla Akhter, Md. Mostafizur Rahman, Md. Moniruzzaman Monir
Journal: HydroResearch · DOI: 10.1016/j.hydres.2024.10.004 · Citations: 18
Matched topics: river, flood
Managing flood risks to ensure sustainable development, this research analyses the flood susceptibility in the selected area of the Teesta River floodplain in Bangladesh using the MCDA model with the SVM model. The different geological and climatic flood vulnerability factors used in this study were collected from USGS, BMD, BARC, BWDB, and BBS. This study reveals that the channel pattern changed, drainage density decreased by 42.28 %, and TWI became high during the study period (2000−2020). …
Machine Learning and AI for Hydrological Prediction
This week’s 11 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.
Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
Authors: Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu
Journal: Water Resources Research · DOI: 10.1029/2024wr038170 · Citations: 86
Matched topics: hydrology, hydrologic model
Abstract Accurately inferring realistic subsurface structures poses a considerable challenge due to the impact of morphology on flow and transport behaviors. Traditional subsurface characterization relies on two primary types of data: hard data, derived from direct subsurface measurements, and soft data, encompassing remotely sensed geophysical information and its interpretation. Existing deep‐learning‐based methodologies predominantly focus on the transition from multiple observations to sub…
AI-driven optimization of agricultural water management for enhanced sustainability
Authors: Zhigang Ye, Shan Yin, Yin Cao, Yong Wang
Journal: Scientific Reports · DOI: 10.1038/s41598-024-76915-8 · Citations: 41
Matched topics: water management
Optimizing agricultural water resource management is crucial for food production, as effective water management can significantly improve irrigation efficiency and crop yields. Currently, precise agricultural water demand forecasting and management have become key research focuses; however, existing methods often fail to capture complex spatial and temporal dependencies. To address this, we propose a novel deep learning framework that combines remote sensing technology with the UNet-ConvLSTM …
Comparison of transformer, LSTM and coupled algorithms for soil moisture prediction in shallow-groundwater-level areas with interpretability analysis
Authors: Yue Wang, Yuanyuan Zha
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109120 · Citations: 42
Matched topics: water management
Accurate quantification of soil moisture is essential for understanding water and energy exchanges between the atmosphere and the Earth’s surface, as well as for agricultural applications. Predicting soil moisture content is vital for efficient water management, irrigation scheduling, and drought monitoring. Traditional forecasting methods, such as numerical regression models, often struggle due to various influencing factors and poor observation data quality. In contrast, deep learning algor…
Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain
Authors: Farzad Hosseini Hossein Abadi, Cristina Prieto, César Álvarez
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132269 · Citations: 21
Matched topics: hydrology, hydrologic model, runoff
This paper introduces a promising ensemble deep learning approach that merges the unique characteristics of local catchments with the collective power of regionally optimized LSTM networks. This innovative method enhances prediction accuracy across all locations in regional hydrology and offers a flexible framework adaptable to diverse fields. • Ensemble learning elevates prediction accuracy in reginal hydrological LSTMs. • Both catchment-wise and Top 10 ensembles surpass single-configuration…
A parsimonious setup for streamflow forecasting using CNN-LSTM
Authors: Sudan Pokharel, Tirthankar Roy
Journal: Journal of Hydroinformatics · DOI: 10.2166/hydro.2024.114 · Citations: 16
Matched topics: hydrology, hydrologic model, runoff, streamflow
ABSTRACT Significant strides have been made in advancing streamflow predictions, notably with the introduction of cutting-edge machine-learning models. Predominantly, long short-term memories (LSTMs) and convolution neural networks (CNNs) have been widely employed in this domain. While LSTMs are applicable in both rainfall-runoff and time-series settings, CNN–LSTMs have primarily been utilized in rainfall-runoff scenarios. In this study, we extend the application of CNN–LSTMs to time-series s…
Variability of bio-optical properties of Sundarbans mangrove estuarine ecosystem using elemental analysis, Sentinel 3 OLCI imageries and neural network models
Authors: Ismail Mondal, Isha Jha, Arafat Hossain, A. C. DE, Hamad Ahmed Altuwaijri, Felix Jose et al.
Journal: Advances in Space Research · DOI: 10.1016/j.asr.2024.10.059 · Citations: 30
Matched topics: water management
Abstract not available.
Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge‐Based Framework and Deep Learning
Authors: Parnian Ghaneei, Ehsan Foroumandi, Hamid Moradkhani
Journal: Water Resources Research · DOI: 10.1029/2024wr037152 · Citations: 25
Matched topics: hydrology, streamflow
Abstract In hydrology, a fundamental task involves enhancing the predictive power of a model in ungagged basins by transferring information on physical attributes and hydroclimate dynamics from gauged basins. Introducing an integrated nonlinear clustering framework, this study aims to develop a comprehensive framework that augments predictive performance in basins where direct measurements are sparse or absent. In this framework, uniform manifold approximation and projection (UMAP) is used as…
Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling
Authors: Songliang Chen, Youcan Feng, Hongyan Li, Donghe Ma, Qinglin Mao, Yilian Zhao et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-024-77678-y · Citations: 17
Matched topics: hydrologic model, runoff, streamflow
Amidst growing concerns over climate-induced extreme weather events, precise flood forecasting becomes imperative, especially in regions like the Chaersen Basin where data scarcity compounds the challenge. Traditional hydrologic models, while reliable, often fall short in areas with insufficient observational data. This study introduces a hybrid modeling approach that combines the deep learning capabilities of the Informer model with the robust hydrological simulation by the WRF-Hydro model t…
Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach.
Authors: Jian Chen, Li Zhao, Bin Wang, Xinyi He, Lei Duan, Gang Yu
Journal: Environment International · DOI: 10.1016/j.envint.2024.109154 · Citations: 29
Matched topics: surface water
Pesticides typically co-occur in agricultural surface waters and pose a potential threat to human and ecosystem health. As pesticide screening in global agricultural surface waters is an immense analytical challenge, a detailed risk picture of pesticides in global agricultural surface waters is largely missing. Here, we create the first global maps of human health and ecological risk from pesticides in agricultural surface waters using random forest models based on 27,411 measurements of 309 …
Machine learning-driven optimization of gas diffusion layer microstructure for PEM fuel cells
Authors: Rashen Lou Omongos, Diego E. Galvez‐Aranda, Franco M. Zanotto, A. Vernes, Alejandro A. Franco
Journal: Journal of Power Sources · DOI: 10.1016/j.jpowsour.2024.235583 · Citations: 25
Matched topics: water management
The Gas Diffusion Layer (GDL) is a vital component within Proton Exchange Membrane Fuel Cells (PEMFCs), playing a crucial role in mass and heat transport. Enhancing GDL microstructures directly improves transport properties, thereby leading to more efficient and durable PEMFCs. In this study, we developed a novel machine learning methodology to optimize the GDL microstructure and properties. The developed optimization framework demonstrated high efficacy, with an R 2 score ∼95 % in 6 out of 7…
An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality
Authors: Malik Talha Riaz, Muhammad Tayyib Riaz, Adnanul Rehman, Ahmed Ali Bindajam, Javed Mallick, Hazem Ghassan Abdo
Journal: Scientific Reports · DOI: 10.1038/s41598-024-76607-3 · Citations: 20
Matched topics: hydrology, water management
This study addresses the critical need for effective groundwater (GW) management in Muzaffarabad, Pakistan, amidst challenges posed by rapid urbanization and population growth. By integrating Support Vector Machine (SVM) and Weight of Evidence (WOE) techniques, this study aimed to delineate GW potential zones and assess water quality. This study fills the gap in applying advanced machine learning and geostatistical methods for accurate GW potential mapping. Eight thematic layers based on topo…
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.
Persistent Water Scarcity Due To High Irrigation Demand in Arid China: A Case Study in the North Slope of the Tianshan Mountains
Authors: Xingcai Liu, Qiuhong Tang, Ying Zhao, Puyu Wang
Journal: Earth s Future · DOI: 10.1029/2024ef005070 · Citations: 24
Matched topics: hydrology, hydrologic model, runoff, streamflow, water management, irrigation
Abstract Water scarcity is a critical threat in arid regions in China due to dry climate and rising human water demand. The sustainability of a recent wetter trend and its impact on future water security remain uncertain. This case study focuses on a hotspot region, the North Slope of the Tianshan Mountains (NSTM), to assess water scarcity in the coming decades (2030–2050) under two climate scenarios. To this end, we developed an integrated agro‐hydrological model to simulate historical and f…
The Potential of Hydrogeodesy to Address Water‐Related and Sustainability Challenges
Authors: Fernando Jaramillo, Saeid Aminjafari, Pascal Castellazzi, Ayan Santos Fleischmann, Etienne Fluet‐Chouinard, Hossein Hashemi et al.
Journal: Water Resources Research · DOI: 10.1029/2023wr037020 · Citations: 32
Matched topics: hydrology, hydrologic model, water management, earth system model
Abstract Increasing climatic and human pressures are changing the world’s water resources and hydrological processes at unprecedented rates. Understanding these changes requires comprehensive monitoring of water resources. Hydrogeodesy, the science that measures the Earth’s solid and aquatic surfaces, gravity field, and their changes over time, delivers a range of novel monitoring tools that are complementary to traditional hydrological methods. It encompasses geodetic technologies such as Al…
Harvesting the sun twice: Energy, food and water benefits from agrivoltaics in East Africa
Authors: Richard J. Randle‐Boggis, Greg A. Barron‐Gafford, Anthony A. Kimaro, Christine Lamanna, Chris Karanja Macharia, Janet F. Maro et al.
Journal: Renewable and Sustainable Energy Reviews · DOI: 10.1016/j.rser.2024.115066 · Citations: 37
Matched topics: runoff
Food, energy and water insecurity are concomitant challenges facing many communities in East Africa. Agrivoltaic systems – agriculture integrated with photovoltaic panels – address all three challenges, providing low carbon electricity, food production and water conservation on the same land area. Agrivoltaics have proven benefits for the food-energy-water nexus in the USA, Europe and Asia, but research is lacking in sub-Saharan Africa, where energy access remains low, and climate change and …
Projected impacts of climate change on global irrigation water withdrawals
Authors: Gebremedhin Gebremeskel Haile, Qiuhong Tang, Kidane Welde Reda, Binod Baniya, Li He, Yongdong Wang et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109144 · Citations: 22
Matched topics: hydrologic model, climate change, irrigation
Investigating processes causing water resource depletion risks is key to understanding past, present, and future excessive irrigation water withdrawal. Quantitative spatiotemporal analysis of the factors driving excessive irrigation water withdrawal is currently inadequate. Although multiple drivers typically contribute to this risk, we studied, for the first time, whether and how Actual Irrigation Water Withdrawals (AIWW) could affect global future water resources projection. Here, we used A…
Review of Evaporative Cooling Systems for Buildings in Hot and Dry Climates
Authors: Misrak Girma, Roberto Garay-Martinez, Ana M. Macarulla
Journal: Buildings · DOI: 10.3390/buildings14113504 · Citations: 29
Matched topics: water management
Evaporative cooling systems have gained increasing attention as an energy-efficient solution for climate control in hot and dry regions. This review aims to assess the effectiveness of the most recent advancements in evaporative cooling technologies for building applications in hot and dry climates. The review focuses on global literature, with an emphasis on building applications. The findings of this review indicate that evaporative cooling systems with hybrid configurations, particularly m…
Uncertain multi‐objective programming approach for planning supplementary irrigation areas in rainfed agricultural regions
Authors: Rongchao Shi, Xiaobei Han, Wenzhong Guo
Journal: Irrigation and Drainage · DOI: 10.1002/ird.3051 · Citations: 18
Matched topics: streamflow, water management, irrigation
Abstract Rainfed agriculture is crucial for ensuring global food and water security, and supplementary irrigation is an effective means of improving the economic benefits in rainfed agricultural regions. This study proposes a novel uncertain optimization approach to optimize supplementary irrigation areas in rainfed agricultural regions. The approach incorporates multi‐objective linear programming, interval linear programming, fuzzy goal programming and stochastic expected value programming. …
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.
Effects of cascade hydropower stations on hydrologic cycle in Xiying river basin, a runoff in Qilian mountain
Authors: Rui Li, Guofeng Zhu, Siyu Lu, Gaojia Meng, Longhu Chen, Yuhao Wang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132342 · Citations: 67
Matched topics: river, runoff, hydropower
Abstract not available.
Water erosion processes: Mechanisms, impact, and management strategies
Authors: Ali Akbar Firoozi, Ali Asghar Firoozi, Ali Asghar Firoozi, Ali Asghar Firoozi
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103237 · Citations: 60
Matched topics: runoff, water management
• Discloses water erosion dynamics across diverse ecosystems. • Evaluates traditional and modern erosion control methods. • Innovative use of nanotech and biotech in soil stabilization. • Links effective policy with successful erosion management. This study rigorously explores water erosion, a critical environmental challenge diminishing land productivity and ecosystem stability worldwide. Addressing a notable gap in comprehensive, region-specific erosion assessments, this research underscore…
Metal-Organic Frameworks (MOFs) for Oxo-Anion Removal in Wastewater Treatment: Advancements and Applications
Authors: M. Shahnawaz Khan, Sidi Zhu, Shing Bor Chen
Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2024.157396 · Citations: 46
Matched topics: water management
Abstract not available.
Intercropping increases plant water availability and water use efficiency: A synthesis
Authors: Huaqing Liu, Xiaodong Gao, Changjian Li, Yaohui Cai, Xiaolin Song, Xining Zhao
Journal: Agriculture Ecosystems & Environment · DOI: 10.1016/j.agee.2024.109360 · Citations: 36
Matched topics: runoff, water management
Abstract not available.
Projecting dry-wet abrupt alternation across China from the perspective of soil moisture
Authors: Jianxiu Qiu, Chun-Hsuan He, Xiaoping Liu, Lun Gao, Chao Tan, Xinghan Wang et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00808-w · Citations: 33
Matched topics: streamflow
Under a warmer climate, the enhancement of dry-wet abrupt alternation (DWAA) risk poses a great challenge for sustainable development. Here, we introduce a novel framework for DWAA detection based on our proposed soil moisture concentration index. By the end of this century, over humid southern China, the shift of soil moisture time series from anomalously wet to anomalously dry pattern, or the other way around, will be more abrupt. In addition, the proposed framework driven by Coupled Model …
Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China
Authors: Jiawen Liu, Xianqi Zhang, Xiaoyan Wu, Yang Yang, Yupeng Zheng
Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102866 · Citations: 15
Matched topics: hydrology, hydrologic model, river, runoff
Changes in river runoff have a significant impact on the sustainable use of water resources in a watershed, and these changes are closely linked to variations in land use/land cover (LULC). This research explores an innovative approach in the Zhang River Basin (ZRB), China, by coupling a concept-based hydrological model, the Soil and Water Assessment Tool (SWAT), with a deep-learning model, the Bidirectional Long Short-Term Memory Network (Bi-LSTM), to improve the accuracy of river runoff sim…
Climate change is intensifying rainfall erosivity and soil erosion in West Africa
Authors: Oluwafemi E. Adeyeri, Akinleye Folorunsho, Tolulope E. Adeliyi, Kayode Ayegbusi, Akintomide A. Akinsanola, Christopher E. Ndehedehe et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.177174 · Citations: 27
Matched topics: climate change
Soil erosion is a critical environmental challenge with significant implications for agriculture, water quality, and ecosystem stability. Understanding its dynamics is essential for sustainable environmental management and societal welfare. Here, we analyze rainfall erosivity and erosion patterns across West Africa (WAF) during the historical (1982-2014), near future (2028-2060), and far future (2068-2100) periods under Shared Socioeconomic Pathways (SSPs 370 and 585). Using bias-corrected-do…
An Attention‐Based Explainable Deep Learning Approach to Spatially Distributed Hydrologic Modeling of a Snow Dominated Mountainous Karst Watershed
Authors: Qianqiu Longyang, Seohye Choi, Hyrum Tennant, Devon Hill, Nathaniel Ashmead, Bethany T. Neilson et al.
Journal: Water Resources Research · DOI: 10.1029/2024wr037878 · Citations: 16
Matched topics: hydrologic model, runoff, streamflow
Abstract In many regions globally, snowmelt‐recharged mountainous karst aquifers serve as crucial sources for municipal and agricultural water supplies. In these watersheds, complex interplay of meteorological, topographical, and hydrogeological factors leads to intricate recharge‐discharge pathways. This study introduces a spatially distributed deep learning precipitation‐runoff model that combines Convolutional Long Short‐Term Memory (ConvLSTM) with a spatial attention mechanism. The effect…
Direct vegetation response to recent CO2 rise shows limited effect on global streamflow
Authors: Haoshan Wei, Yongqiang Zhang, Qi Huang, Francis H. S. Chiew, J. Luan, Jun Xia et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-53879-x · Citations: 22
Matched topics: streamflow
Global streamflow, crucial for ecology, agriculture, and human activities, can be influenced by elevated atmospheric CO2 (eCO2) though direct regulation of vegetation physiology and structure, which can either decrease or increase streamflow. Despite a 21.8% rise in CO2 over 40 years, its impact on streamflow is not obvious and remains highly debated. Using a full differential approach at the catchment scale and an optimum finger approach globally, both constrained by observed streamflow, her…
Widespread and persistent oligotrophication of northern rivers
Authors: Jenny L. Nilsson, Sara Camiolo, Brian Huser, Oskar Agstam‐Norlin, Martyn N. Futter
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.177261 · Citations: 8
Matched topics: river, runoff, streamflow, water management
N) that appears unrelated to reductions in anthropogenic loading. Over the past forty years, P concentrations and fluxes in rivers draining forest dominated Swedish catchments have declined by nearly 50 %, with steeper declines in nutrient poor locations. Trends are negatively correlated with forest growth, temperature, pH and alkalinity. They are unrelated to trends in calcium, organic carbon and runoff. Declining P trends were strongest in locations draining catchments with shallow, nutrien…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 912 |
| After deduplication | 698 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 648 |
Papers by journal
| Journal | Papers |
|---|---|
| Water Resources Research | 4 |
| Journal of Hydrology | 3 |
| Scientific Reports | 3 |
| Agricultural Water Management | 3 |
| Global Change Biology | 3 |
| Results in Engineering | 2 |
| npj Climate and Atmospheric Science | 2 |
| The Science of The Total Environment | 2 |
| Reviews of Geophysics | 1 |
| Agricultural and Forest Meteorology | 1 |
| Earth s Future | 1 |
| Chemical Engineering Journal | 1 |
| Agriculture Ecosystems & Environment | 1 |
| Journal of Environmental Management | 1 |
| Computers and Electronics in Agriculture | 1 |
| Renewable and Sustainable Energy Reviews | 1 |
| Journal of Hydroinformatics | 1 |
| Arabian Journal of Geosciences | 1 |
| Advances in Space Research | 1 |
| Ecological Informatics | 1 |
| Rock Mechanics and Rock Engineering | 1 |
| Buildings | 1 |
| Environment International | 1 |
| Proceedings of the National Academy of Sciences | 1 |
| Civil Engineering Journal | 1 |
| Irrigation and Drainage | 1 |
| Discover Water | 1 |
| Geoenergy Science and Engineering | 1 |
| Journal of Power Sources | 1 |
| Nature Communications | 1 |
| Journal of Geophysical Research Oceans | 1 |
| Hydrology research | 1 |
| Nature | 1 |
| Soil Biology and Biochemistry | 1 |
| Earth System Dynamics | 1 |
| HydroResearch | 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