Weekly Literature Review
Week 40 · September 30–October 6, 2024
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across 6 themes. The most cited paper examines The 2024 report of the Lancet Countdown on health and climate change: facing rec, with 454 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
- Climate Change and Hydrological Extremes
- Recent development on drought propagation: A comprehensive review
- The Cooling Effect of Oasis Reservoir‐Riparian Forest Systems in Arid Regions
- Extreme Rainfall Trends and Hydrometeorological Disasters in Tropical Regions: Implications for Climate Resilience
- Aridity drives the response of soil total and particulate organic carbon to drought in temperate grasslands and shrublands
- A multi-model assessment of inequality and climate change
- Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
- An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics
- Emerging signals of climate change from the equator to the poles: new insights into a warming world
- Enhancing Olive Cultivation Resilience: Sustainable Long-Term and Short-Term Adaptation Strategies to Alleviate Climate Change Impacts
- CO2 high-pressure miscible flooding and storage technology and its application in Shengli Oilfield, China
- Role of Initial Conditions and Meteorological Drought in Soil Moisture Drought Propagation: An Event‐Based Causal Analysis Over South Asia
- Anthropogenic climate change has reduced drought recovery probabilities across the western US
- How do renewable energy, energy innovation and climate change shape the energy transition in USA? Unraveling the role of green finance development
- Advancing geological storage of carbon dioxide (CO2) with emerging technologies for climate change mitigation
- Landslide Hazard Is Projected to Increase Across High Mountain Asia
- Vegetation Restoration Increases the Drought Risk on the Loess Plateau
- Community-Based Adaptation to Climate Change: Core Issues and Implications for Practical Implementations
- Ecological Connectivity of River‐Lake Ecosystem: Evidence From Fish Population Dynamics in a Connecting Channel
- Flood Risk Assessment and Extreme Precipitation
- The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action
- Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network
- Floodplain lakes: Linking hydrology to ecology and conservation
- Sewage leakage challenges urban wastewater management as evidenced by the Yangtze River basin of China
- Smart hotspot detection using geospatial artificial intelligence: A machine learning approach to reduce flood risk
- Machine Learning and AI for Hydrological Prediction
- Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
- Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation
- Comparison of hybrid deep learning models for estimation of the time-dependent scour depth downstream of river training structures
- Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models
- Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts
- Rapid prediction of urban flooding at street-scale using physics-informed machine learning-based surrogate modeling
- Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
- Hydropower and Renewable Energy-Water Systems
- Capacity optimization of retrofitting cascade hydropower plants with pumping stations for renewable energy integration: A case study
- Revealing the coupled evolution process of construction risks in mega hydropower engineering through textual semantics
- Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel
- Water Management, Irrigation, and Groundwater
- A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
- The Changing Hydrology of an Irrigated and Dammed Yangtze River: Streamflow, Extremes, and Lake Hydrodynamics
- Eco-friendly wastewater treatment technologies (concept): Conceptualizing advanced, sustainable wastewater treatment designs for industrial and municipal applications
- Investigating the impacts of different degrees of deficit irrigation and nitrogen interactions on assimilate translocation, yield, and resource use efficiencies in winter wheat
- Water resource management and policy evaluation in Middle Eastern countries: Achieving sustainable development goal 6
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Climate change driven effects on transport, fate and biogeochemistry of trace element contaminants in coastal marine ecosystems
- Tracking the Impact of the Land Cover Change on the Spatial-Temporal Distribution of the Thermal Comfort: Insights from the Qinhuai River Basin, China
- Integration of remote sensing data and GIS technologies in river management system
- Pollution characteristics and probabilistic risk assessment of heavy metal(loid)s in agricultural soils across the Yellow River Basin, China
- Uncovering the Dynamic Drivers of Floods Through Interpretable Deep Learning
- Optimization strategies for green power and certificate trading in China considering seasonality: An evolutionary game-based system dynamics
- A novel multi-hazard risk assessment framework for coastal cities under climate change
- A slope stability analysis method considering the rainfall hydrology process
- Assessment of biochemical biomarkers and environmental stress indicators in some freshwater fish
- Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus
- Quantifying the Role of Calibration Strategies on Surface‐Subsurface Hydrologic Model Performance
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 19 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.
Climate Change and Hydrological Extremes
Authors: Jinghua Xiong, Yuting Yang
Journal: Current Climate Change Reports · DOI: 10.1007/s40641-024-00198-4 · Citations: 95
Matched topics: hydrologic model, climate change, earth system model
Abstract not available.
Recent development on drought propagation: A comprehensive review
Authors: Zhaoqiang Zhou, Wang Ping, Li Linqi, Fu Qiang, Ding Yibo, Chen Peng et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132196 · Citations: 74
Matched topics: drought
Abstract not available.
The Cooling Effect of Oasis Reservoir‐Riparian Forest Systems in Arid Regions
Authors: Yinying Jiao, Guofeng Zhu, Siyu Lu, Linlin Ye, Dongdong Qiu, Gaojia Meng et al.
Journal: Water Resources Research · DOI: 10.1029/2024wr038301 · Citations: 50
Matched topics: hydrology, streamflow, reservoir, surface water
Abstract In arid regions with limited water resources, numerous reservoirs have been built to support economic and social development. However, how the construction of reservoirs interacts with the surrounding ecosystem to affect temperature remains unclear. Spanning 2018 to 2022 in the Shiyang River Basin, we collected surface water and precipitation, as well as stem and soil samples. Using isotopic methods, we quantified how evaporation in the oasis reservoir‐riparian forest system affects …
Extreme Rainfall Trends and Hydrometeorological Disasters in Tropical Regions: Implications for Climate Resilience
Authors: Elsa Yanfatriani, Marzuki Marzuki, Mutya Vonnisa, Pakhrur Razi, Cahyo A. Hapsoro, Ravidho Ramadhan et al.
Journal: Emerging Science Journal · DOI: 10.28991/esj-2024-08-05-012 · Citations: 62
Matched topics: hydrology, streamflow
Hydrometeorological disasters due to extreme weather events represent a significant threat to the security of life in Jambi Province. In order to develop effective strategies for mitigating this threat, it is essential to gain a comprehensive understanding of the underlying dynamics that give rise to such disasters. Despite the high frequency of these events, more research is needed on the complex relationship between trends in extreme indices and the frequency of hydrometeorological disaster…
Aridity drives the response of soil total and particulate organic carbon to drought in temperate grasslands and shrublands
Authors: Baoku Shi, Manuel Delgado‐Baquerizo, Alan K. Knapp, Melinda D. Smith, Sasha C. Reed, Brooke B. Osborne et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adq2654 · Citations: 49
Matched topics: drought
The increasing prevalence of drought events in grasslands and shrublands worldwide potentially has impacts on soil organic carbon (SOC). We leveraged the International Drought Experiment to study how SOC, including particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) concentrations, responds to extreme drought treatments (1-in-100-year) for 1 to 5 years at 19 sites worldwide. In more mesic areas (aridity index > 0.65), SOC and POC concentrations decreased by 7.9% (±3….
A multi-model assessment of inequality and climate change
Authors: Johannes Emmerling, Pietro Andreoni, Ioannis Charalampidis, Shouro Dasgupta, Francis Dennig, Simon Feindt et al.
Journal: Nature Climate Change · DOI: 10.1038/s41558-024-02151-7 · Citations: 47
Matched topics: climate change
Climate change and inequality are critical and interrelated issues. Despite growing empirical evidence on the distributional implications of climate policies and climate risks, mainstream model-based assessments are often silent on the interplay between climate change and economic inequality. Here we fill this gap through an ensemble of eight large-scale integrated assessment models that belong to different economic paradigms and feature income heterogeneity. We quantify the distributional im…
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
Authors: Nima Zafarmomen, Hosein Alizadeh, Mehrad Bayat, Majid Ehtiat, Hamid Moradkhani
Journal: Water Resources Research · DOI: 10.1029/2023wr036080 · Citations: 29
Matched topics: hydrology, streamflow, surface water, irrigation
Abstract Vegetation‐related processes, such as evapotranspiration (ET), irrigation water withdrawal, and groundwater recharge, are influencing surface water (SW)—groundwater (GW) interaction in irrigation districts. Meanwhile, conventional numerical models of SW‐GW interaction are not developed based on satellite‐based observations of vegetation indices. In this paper, we propose a novel methodology for multivariate assimilation of Sentinel‐based leaf area index (LAI) as well as in‐situ recor…
An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics
Authors: Liqing Peng, Justin Sheffield, Zhongwang Wei, Michael Ek, Eric F. Wood
Journal: Earth System Dynamics · DOI: 10.5194/esd-15-1277-2024 · Citations: 36
Matched topics: drought
Abstract. Atmospheric evaporative demand is a key metric for monitoring agricultural drought. Existing ways of estimating evaporative demand in drought indices do not faithfully represent the constraints imposed by land surface characteristics and become less accurate over nonuniform land surfaces. This study proposes incorporating surface vegetation characteristics, such as vegetation dynamics data, aerodynamic parameters, and physiological parameters, into existing potential-evapotranspirat…
Emerging signals of climate change from the equator to the poles: new insights into a warming world
Authors: Matthew Collins, Jonathan D. Beverley, Thomas J. Bracegirdle, Jennifer L. Catto, Michelle McCrystall, Andrea J. Dittus et al.
Journal: Frontiers in Science · DOI: 10.3389/fsci.2024.1340323 · Citations: 32
Matched topics: climate change
The reality of human-induced climate change is unequivocal and exerts an ever-increasing global impact. Access to the latest scientific information on current climate change and projection of future trends is important for planning adaptation measures and for informing international efforts to reduce emissions of greenhouse gases (GHGs). Identification of hazards and risks may be used to assess vulnerability, determine limits to adaptation, and enhance resilience to climate change. This artic…
Enhancing Olive Cultivation Resilience: Sustainable Long-Term and Short-Term Adaptation Strategies to Alleviate Climate Change Impacts
Authors: Sandra Martins, Sandra Pereira, Lia‐Tânia Dinis, Cátia Brito
Journal: Horticulturae · DOI: 10.3390/horticulturae10101066 · Citations: 30
Matched topics: climate change
Olive cultivation, an icon of Mediterranean agriculture, economy, and cultural heritage, faces significant challenges due to climate change and soil degradation. Climate projections indicate that altered precipitation patterns, rising temperatures, and increased frequency of extreme weather events will adversely affect olive tree growth, fruit quality, and yield. This review provides a novel perspective on addressing these challenges through both long-term and short-term adaptation strategies…
CO2 high-pressure miscible flooding and storage technology and its application in Shengli Oilfield, China
Authors: Yong Yang, Shiming Zhang, Xiaopeng Cao, Qi LYU, Guangzhong LYU, C.P. Zhang et al.
Journal: Petroleum Exploration and Development · DOI: 10.1016/s1876-3804(25)60538-6 · Citations: 29
Matched topics: flood
There are various issues for CO 2 flooding and storage in Shengli Oilfield, which are characterized by low light hydrocarbon content of oil and high miscible pressure, strong reservoir heterogeneity and low sweep efficiency, gas channeling and difficult whole-process control. Through laboratory experiments, technical research and field practice, the theory and technology of CO 2 high pressure miscible flooding and storage are established. By increasing the formation pressure to 1.2 times the …
Role of Initial Conditions and Meteorological Drought in Soil Moisture Drought Propagation: An Event‐Based Causal Analysis Over South Asia
Authors: Amitesh Gupta, L. Karthikeyan
Journal: Earth s Future · DOI: 10.1029/2024ef004674 · Citations: 29
Matched topics: drought
Abstract The role of meteorological droughts and initial conditions (land and atmosphere) in soil moisture drought (SMD) propagation are not yet fully understood. This work uses a drought event‐based causal framework to investigate the relative importance of meteorological drought (MD) duration and intensity and initial conditions that result in surface and rootzone SMD, considering their event‐level propagation time (PT) over South Asia. Initially, spatial variability of drought propagation …
Anthropogenic climate change has reduced drought recovery probabilities across the western US
Authors: Emily Williams, John T. Abatzoglou, Katherine C. Hegewisch, Park Williams
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01640-z · Citations: 12
Matched topics: streamflow, water management, drought, climate change
Abstract During drought, resource managers want to know when the drought will end to make informed management decisions. However, as anthropogenic climate change has intensified drought conditions, we hypothesize it has affected drought recovery. Here, we leverage monthly self-calibrating Palmer Drought Severity Index data across the western US derived from observations and climate models, and quantify the probability of drought recovery following severe drought. We find that the probability …
How do renewable energy, energy innovation and climate change shape the energy transition in USA? Unraveling the role of green finance development
Authors: Sunil Tiwari, Umer Shahzad, Hind Alofaysan, Steven T. Walsh, Pooja Kumari
Journal: Energy Economics · DOI: 10.1016/j.eneco.2024.107947 · Citations: 26
Matched topics: climate change
Abstract not available.
Advancing geological storage of carbon dioxide (CO2) with emerging technologies for climate change mitigation
Authors: Stella I. Eyitayo, Nachiket Arbad, Chinedu J. Okere, Talal Gamadi, Marshall Watson
Journal: International Journal of Environmental Science and Technology · DOI: 10.1007/s13762-024-06074-w · Citations: 25
Matched topics: climate change
Abstract not available.
Landslide Hazard Is Projected to Increase Across High Mountain Asia
Authors: Thomas Stanley, Rachel B. Soobitsky, Pukar Amatya, Dalia Kirschbaum
Journal: Earth s Future · DOI: 10.1029/2023ef004325 · Citations: 25
Matched topics: earth system model
Abstract High Mountain Asia has long been known as a hotspot for landslide risk, and studies have suggested that landslide hazard is likely to increase in this region over the coming decades. Extreme precipitation may become more frequent, with a nonlinear response relative to increasing global temperatures. However, these changes are geographically varied. This article maps probable changes to landslide hazard, as shown by a landslide hazard indicator (LHI) derived from downscaled precipitat…
Vegetation Restoration Increases the Drought Risk on the Loess Plateau
Authors: Hongfei Zhao, Jiaqi Dong, Yi Yang, Jie Zhao, Junhao He, Chao Yue
Journal: Plants · DOI: 10.3390/plants13192735 · Citations: 10
Matched topics: hydrology, hydrologic model, runoff, drought
The extensive implementation of the ‘Grain for Green’ project over the Loess Plateau has improved environmental quality. However, it has resulted in a greater consumption of soil water, and its overall hydrological effects remain highly controversial. Our study utilized a coupled land-atmosphere model to evaluate the effects of vegetation changes resulting from revegetation or reclamation on the hydrology of the Loess Plateau. Revegetation was found to stimulate an increase in precipitation, …
Community-Based Adaptation to Climate Change: Core Issues and Implications for Practical Implementations
Authors: Tom Selje, L Schmid, Boris Heinz
Journal: Climate · DOI: 10.3390/cli12100155 · Citations: 24
Matched topics: climate change
According to current forecasts, global heating is likely to exceed 2.8 °C by the end of this century. This makes substantial adaptation measures necessary to secure a broad basis for livelihood provision and the conservation of biodiversity. While the implementation of top-down and technocratic adaptation efforts predominates, related adaptation shortcomings of a socio-economic and ecological nature are becoming more and more apparent. Community-based adaptation (CBA), with its participatory,…
Ecological Connectivity of River‐Lake Ecosystem: Evidence From Fish Population Dynamics in a Connecting Channel
Authors: Jiajian Qiu, Saiyu Yuan, Hongwu Tang, Qi Zhang, Christian Wolter, Vladimir Nikora
Journal: Water Resources Research · DOI: 10.1029/2024wr037495 · Citations: 22
Matched topics: river
Abstract Climate change and human activities, for example, dam construction, largely affect hydrologic and hydrodynamic processes of river‐lake system, and hence exerted serious pressure on its aquatic ecology. It’s challenging to restore its ecological environment without systematic investigation and knowledge about the features of hydrodynamics, water quality, and aquatic ecology. This study conducted field surveys of hydrodynamic, water quality, and fish distribution in the Yangtze‐Poyang …
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 5 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.
The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action
Authors: M. Romanello, Maria Walawender, Shih-Che Hsu, Annalyse Moskeland, Yasna K. Palmeiro-Silva, Daniel Scamman et al.
Journal: The Lancet · DOI: 10.1016/s0140-6736(24)01822-1 · Citations: 454
Matched topics: climate change
Executive summary Despite the initial hope inspired by the 2015 Paris Agreement, the world is now dangerously close to breaching its target of limiting global multiyear mean heating to 1·5°C. Annual mean surface temperature reached a record high of 1·45°C above the pre-industrial baseline in 2023, and new temperature highs were recorded throughout 2024. The resulting climatic extremes are increasingly claiming lives and livelihoods worldwide. The Lancet Countdown: tracking progress on health …
Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network
Authors: Yanchun Li, Deli Jia, Suling Wang, Ruyi Qu, Meixia Qiao, He Liu
Journal: Petroleum Exploration and Development · DOI: 10.1016/s1876-3804(25)60541-6 · Citations: 71
Matched topics: reservoir
This paper proposes a novel intelligent method for defining and solving the reservoir performance prediction problem within a manifold space, fully considering geological uncertainty and the characteristics of reservoirs performance under time-varying well control conditions, creating a surrogate model for reservoir performance prediction based on Conditional Evolutionary Generative Adversarial Networks (CE-GAN). The CE-GAN leverages conditional evolution in the feature space to direct the ev…
Floodplain lakes: Linking hydrology to ecology and conservation
Authors: Fan Xue, Qi Zhang, J. Melack, Hongwu Tang, Saiyu Yuan, Yuxue Jia et al.
Journal: Earth-Science Reviews · DOI: 10.1016/j.earscirev.2024.104967 · Citations: 43
Matched topics: hydrology
Abstract not available.
Sewage leakage challenges urban wastewater management as evidenced by the Yangtze River basin of China
Authors: Biqing Xia, Sisi Li, Wangzheng Shen, Menghan Mi, Yanhua Zhuang, Liang Zhang
Journal: npj Clean Water · DOI: 10.1038/s41545-024-00388-5 · Citations: 25
Matched topics: river
Sewage leakage, including uncollected, collected but exfiltrated, and collected but discharged with stormwater in combined sewer overflows, becomes a key challenge to clean water around the world. This study proposed a mass balance model to quantify sewage leakage and analyzed its influencing factors. Approximately 56% (53%–59%) of domestic total nitrogen loads in the Yangtze River basin of China leak out without treatment, two-thirds are exfiltrated or overflowed, significantly impacting rec…
Smart hotspot detection using geospatial artificial intelligence: A machine learning approach to reduce flood risk
Authors: Seyed M. H. S. Rezvani, Alexandre Gonçalves, Maria João Falcão Silva, N. Almeida
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105873 · Citations: 23
Matched topics: flood
• Developed Geospatial AI (machine learning) model to create flood hazard maps. • Produced flood hazard maps identifying potential hotspots at city levels. • Processed data at 1 km x 1 km, adapting TIFF maps for ML model compatibility. • Applied flood risk factors: DEM, slope, permeability, texture, river/sea proximity. • Integrated topographic and land attributes data to identify intrinsic flood risk. This study employs Geospatial Artificial Intelligence (GeoAI) and the Random Forest Machine…
Machine Learning and AI for Hydrological Prediction
This week’s 7 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.
Advanced streamflow forecasting for Central European Rivers: The Cutting-Edge Kolmogorov-Arnold networks compared to Transformers
Authors: F. Granata, Senlin Zhu, F. Di Nunno
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132175 · Citations: 52
Matched topics: streamflow
Abstract not available.
Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation
Authors: Sara Asadi, Patricia Jimeno‐Sáez, Adrián López-Ballesteros, Javier Senent‐Aparicio
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103048 · Citations: 31
Matched topics: hydrologic model, runoff, streamflow
Precise streamflow forecasting in river systems is crucial for water resources management and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key hydrological hub, providing regulated flow for agricultural, urban, and energy sectors, and facilitating water transfer to the Segura River Basin, a key semi-arid region. Given the basin’s near-total allocation of water resources, accurate streamflow simulations are essential to optimize the socio-economic distribution a…
Comparison of hybrid deep learning models for estimation of the time-dependent scour depth downstream of river training structures
Authors: Aliasghar Azma, Yakun Liu, Mobin Eftekhari, Di Zhang
Journal: Physics of Fluids · DOI: 10.1063/5.0231597 · Citations: 40
Matched topics: river
Submerged weirs, mainly positioned downstream of bridges, play a key role in safeguarding against floods and long-term scour damage. However, the structural stability of these structures could be threatened by local scour holes. This study evaluates five deep learning algorithms—Deep Neural Networks, Convolutional Neural Networks (CNNs), Convolutional Extreme Gradient Boosting (CXGB), convolutional extremely randomized trees regression, and Self-Attention-based Convolutional Neural Network (S…
Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models
Authors: Yuming Mo, Jing Xu, Chanjuan Liu, Jinran Wu, Dong Chen
Journal: Environmental Monitoring and Assessment · DOI: 10.1007/s10661-024-13209-6 · Citations: 27
Matched topics: seasonal
Abstract not available.
Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts
Authors: Enrique Orozco López, David Kaplan, Anna Linhoss
Journal: Water Resources Research · DOI: 10.1029/2023wr036337 · Citations: 26
Matched topics: streamflow
Abstract Transformer neural networks (TNNs) have caused a paradigm shift in deep learning domains like natural language processing, gathering immense interest due to their versatility in other fields such as time series forecasting (TSF). Most current TSF applications of TNNs use only historic observations to predict future events, ignoring information available in weather forecasts to inform better predictions, and with little attention given to the interpretability of the model’s use of exp…
Rapid prediction of urban flooding at street-scale using physics-informed machine learning-based surrogate modeling
Authors: Yogesh Bhattarai, Sunil Bista, Rocky Talchabhadel, Sunil Duwal, Sanjib Sharma
Journal: Total Environment Advances · DOI: 10.1016/j.teadva.2024.200116 · Citations: 10
Matched topics: hydrology, flood, land surface model, earth system model
Abstract not available.
Evaluating landslide susceptibility: the impact of resolution and hybrid integration approaches
Authors: Xia Zhao, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia
Journal: Geomatics Natural Hazards and Risk · DOI: 10.1080/19475705.2024.2409198 · Citations: 24
Matched topics: hydrology
The present study investigates the effectiveness of various landslide susceptibility machine learning (ML) models at multiple spatial resolutions. Using various conditioning factors, including topography, hydrology, and human influences, the study analyzed the predictive power of single, integrated, and comparative ML models. Alternating Decision Tree (ADT), Forest by Penalizing Attributes (FPA), and Random Forest (RAF), and integrated approaches such as Rotation Forest (RF) and Random Subspa…
Hydropower and Renewable Energy-Water Systems
The integration of hydropower with renewable energy systems is addressed by 3 papers this week, focusing on optimal capacity configuration, generation prediction, and climate change adaptation strategies for hybrid energy-water systems. Studies demonstrate the complementary potential of hydro-wind-solar systems and explore machine learning approaches for hydropower generation forecasting.
Capacity optimization of retrofitting cascade hydropower plants with pumping stations for renewable energy integration: A case study
Authors: Zhenni Wang, Qiaofeng Tan, Xin Wen, Huaying Su, Guohua Fang, Hao Wang
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.124429 · Citations: 35
Matched topics: hydropower
Abstract not available.
Revealing the coupled evolution process of construction risks in mega hydropower engineering through textual semantics
Authors: Kunyu Cao, Shu Chen, Chenglong Yang, Zhi Li, Lizhe Luo, Zhongyang Ren
Journal: Advanced Engineering Informatics · DOI: 10.1016/j.aei.2024.102713 · Citations: 28
Matched topics: hydropower
Abstract not available.
Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel
Authors: Hongye Zhao, Shengli Liao, Xiangyu Ma, Zhou Fang, Chuntian Cheng, Zheng Zhang
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.123786 · Citations: 27
Matched topics: hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 5 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.
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Authors: Zhong-kai Feng, Jing-shuai Zhang, Wen-jing Niu
Journal: Applied Soft Computing · DOI: 10.1016/j.asoc.2024.112352 · Citations: 58
Matched topics: hydrology
Abstract not available.
The Changing Hydrology of an Irrigated and Dammed Yangtze River: Streamflow, Extremes, and Lake Hydrodynamics
Authors: Haoran Hao, Ningpeng Dong, Mingxiang Yang, Jianhui Wei, Xuejun Zhang, Shiqin Xu et al.
Journal: Water Resources Research · DOI: 10.1029/2024WR037841 · Citations: 20
Matched topics: hydrology, hydrologic model, river, streamflow, water management, land surface model, hydropower, irrigation
Understanding the role of anthropogenic activities in the hydrological cycle is critical to support sustainable water management for the Yangtze River Basin (YRB), which experiences extensive dam operation, irrigation and water withdrawal. However, this remains challenging due to insufficient accuracies of existing process‐based models for fully depicting anthropogenic activities as part of the hydrological cycle. To this end, this study enhances a national‐scale coupled land surface‐hydrolog…
Eco-friendly wastewater treatment technologies (concept): Conceptualizing advanced, sustainable wastewater treatment designs for industrial and municipal applications
Authors: Ufuoma Ejairu, Adeoye Taofik Aderamo, Henry Chukwuemeka Olisakwe, Andrew Emuobosa Esiri, Uwaga Monica Adanma, Nko Okina Solomon
Journal: Comprehensive research and reviews in engineering and technology · DOI: 10.57219/crret.2024.2.1.0063 · Citations: 32
Matched topics: water management
This concept paper explores the development and integration of advanced, sustainable wastewater treatment technologies designed for both industrial and municipal applications. As environmental concerns rise globally, the need for eco-friendly solutions in water management has become critical. The proposed approach focuses on enhancing wastewater treatment systems through innovative, sustainable designs that reduce environmental impact, optimize resource recovery, and promote energy efficiency…
Investigating the impacts of different degrees of deficit irrigation and nitrogen interactions on assimilate translocation, yield, and resource use efficiencies in winter wheat
Authors: Tingxuan Zhuang, Syed Tahir Ata-Ul-Karim, Ben Zhao, Xiaojun Liu, Yongchao Tian, Yan Zhu et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109089 · Citations: 28
Matched topics: irrigation
Water and nitrogen (N) are recognized as the primary determinants influencing the development and output of winter wheat. They affect the growth of winter wheat not only through their own changes, but also through their interaction. The translocation and accumulation of pre- and post-anthesis assimilates (including dry matter and N) are important physiological processes in winter wheat, which are closely related to the resource use efficiency and yield. However, a dearth of research exists th…
Water resource management and policy evaluation in Middle Eastern countries: Achieving sustainable development goal 6
Authors: Guansu Wang, Sameer Kumar, Zhihong Huang, Ruoyi Liu
Journal: Desalination and Water Treatment · DOI: 10.1016/j.dwt.2024.100829 · Citations: 26
Matched topics: water management
This study explores the challenges and management strategies of water resources in 15 Middle Eastern countries, framed within the context of Sustainable Development Goal 6 (SDG6). This study used 123 water resource policies in Middle Eastern countries as data and employed a pre-trained large language model based on RoBERTa, trained on the SNLI and MNLI datasets, to perform text classification tasks. In combination with the TF-IDF algorithm for keyword extraction, this approach is used to syst…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 11 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.
Climate change driven effects on transport, fate and biogeochemistry of trace element contaminants in coastal marine ecosystems
Authors: Rebecca Zitoun, Saša Marcinek, Vanessa Hatje, Sylvia G. Sander, Christoph Völker, M.M. Sarin et al.
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01679-y · Citations: 71
Matched topics: runoff, streamflow, climate change
Human activities and climate change substantially threaten coastal areas, impacting ecosystem functions, services, and human-wellbeing. Trace elements, from both natural and anthropogenic sources, can contaminate coastal regions, and at high concentrations may become toxic to marine biota. Climate change is likely to affect the sources, sinks and cycling of trace elements in coastal systems: for example, riverine runoff is set to increase as precipitation in the Arctic intensifies, and more f…
Tracking the Impact of the Land Cover Change on the Spatial-Temporal Distribution of the Thermal Comfort: Insights from the Qinhuai River Basin, China
Authors: Chunguang Hu, Maomao Zhang, Gaoliu Huang, Zhuoqi Li, Yucheng Sun, Jianqing Zhao
Journal: Sustainable cities and society · DOI: 10.1016/j.scs.2024.105916 · Citations: 74
Matched topics: river
Abstract not available.
Integration of remote sensing data and GIS technologies in river management system
Authors: Chatrabhuj, Kundan Meshram, Umank Mishra, Padam Jee Omar
Journal: Discover Geoscience · DOI: 10.1007/s44288-024-00080-8 · Citations: 45
Matched topics: river, water management, hydropower
Abstract Effective River system management is essential for conserving water resources, improving agricultural productivity, and sustaining ecological health. Remote sensing is crucial for evaluating and tracking several elements of river systems. The study explores the incorporation of remote sensing into Geographic Information Systems (GIS) and Artificial Intelligence (AI) to acquire a thorough comprehension of river dynamics and accurately record minor fluctuations in river conditions. The…
Pollution characteristics and probabilistic risk assessment of heavy metal(loid)s in agricultural soils across the Yellow River Basin, China
Authors: Jun Li, Li Xu, Chao Wang, Junzhuo Liu, Zhan-Dong Gao, Kaiming Li et al.
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.112676 · Citations: 33
Matched topics: river
• Investigation of heavy metal(loid)s in YRB agricultural soils (2000–2023) finished. • Hg and Cd are main contributors to pollution and ecological risk. • Traffic and industrial emissions are identified as major pollution sources. • Source-specific health risks were quantified using PMF model and MCS. • Priority control recommended for industrial sources and As contamination. Heavy metal(loid)s (HMs) contamination in farmland soils, an environmental issue of global concern, has undergone ext…
Uncovering the Dynamic Drivers of Floods Through Interpretable Deep Learning
Authors: Yuanhao Xu, Kairong Lin, Caihong Hu, Xiaohong Chen, Jingwen Zhang, Mingzhong Xiao et al.
Journal: Earth s Future · DOI: 10.1029/2024ef004751 · Citations: 20
Matched topics: hydrologic model, streamflow, flood
Abstract The formation of floods, as a complex physical process, exhibits dynamic changes in its driving factors over time and space under climate change. Due to the black‐box nature of deep learning, its use alone does not enhance understanding of hydrological processes. The challenge lies in employing deep learning to uncover new knowledge on flood formation mechanism. This study proposes an interpretable framework for deep learning flood modeling that employs interpretability techniques to…
Optimization strategies for green power and certificate trading in China considering seasonality: An evolutionary game-based system dynamics
Authors: Tingyi Yue, Honglei Wang, Chengjiang Li, Yujie Hu
Journal: Energy · DOI: 10.1016/j.energy.2024.133355 · Citations: 24
Matched topics: seasonal, hydropower
Abstract not available.
A novel multi-hazard risk assessment framework for coastal cities under climate change
Authors: Emilio Laiño, Ignacio Toledo, L. Aragonés, Gregório Iglesias
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.176638 · Citations: 26
Matched topics: climate change
Coastal cities, as centres of human habitation, economic activity and biodiversity, are confronting the ever-escalating challenges posed by climate change. In this work, a novel Multi-Hazard Risk Assessment framework is presented with the focus on Coastal City Living Labs. The methodology provides a comprehensive assessment of climate-related hazards, including sea-level rise, coastal flooding, coastal erosion, land flooding, heavy precipitation, extreme temperatures, heatwaves, cold spells, …
A slope stability analysis method considering the rainfall hydrology process
Authors: Jun-Hao Wang, Wen-jie Xu, Xiao-Xiao Liu
Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107775 · Citations: 24
Matched topics: hydrology
Abstract not available.
Assessment of biochemical biomarkers and environmental stress indicators in some freshwater fish
Authors: Salwa M. Abdallah, Reham E. Muhammed, Reda El Mohamed, Hala El Daous, Dina Saleh, Mohamed A. Ghorab et al.
Journal: Environmental Geochemistry and Health · DOI: 10.1007/s10653-024-02226-6 · Citations: 24
Matched topics: runoff
The mechanism by which an organism can adapt to subtle environmental changes is predicated on modifications to biochemical processes within the cellular metabolism in response to such changes. Changes in these processes have the potential to induce alterations in cellular structures and tissue organization, as well as establish a causal link between fluctuations in these parameters and stressors exposure. This investigation’s main goal and innovation is to evaluate the environmental stress in…
Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus
Authors: Hazrat Bilal, Chamhuri Siwar, Mazlin Mokhtar, Fatima‐Zahra Lahlou, Kasturi Devi Kanniah, Tareq Al‐Ansari
Journal: Ecological Modelling · DOI: 10.1016/j.ecolmodel.2024.110871 · Citations: 13
Matched topics: river, runoff, hydropower
• Snowmelt-Runoff Model (SRM) indicated significant increases in annual and seasonal runoff. • RCP4.5 scenario shows stronger seasonal runoff increases compared to RCP8.5, suggesting potential loss of snow and glaciers due to early warming. • Future hydropower capacity projected to increase by 93 % to 167 % under RCP4.5 and RCP8.5 scenarios, respectively. • Construction of multipurpose dams are crucial to mitigate peak flow risks and ensure resilient EWF resources. Pakistan’s hydropower secto…
Quantifying the Role of Calibration Strategies on Surface‐Subsurface Hydrologic Model Performance
Authors: S. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White
Journal: Hydrological Processes · DOI: 10.1002/hyp.15298 · Citations: 10
Matched topics: hydrologic model, streamflow, land surface model
Distributed, coupled surface‐groundwater hydrologic models are high‐dimensional, given the necessity to reflect the spatially diverse nature of complex hydrologic processes. Furthermore, inverse/inference problems involving these high‐dimensional models are naturally ill‐posed, given the limited information content of state observations that are typically assimilated. Many inversion/inference algorithms do not cope well with high dimensionality, leaving the practitioner to make subjective cho…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 874 |
| After deduplication | 678 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 628 |
Papers by journal
| Journal | Papers |
|---|---|
| Water Resources Research | 5 |
| Earth s Future | 3 |
| Communications Earth & Environment | 2 |
| Journal of Hydrology | 2 |
| Petroleum Exploration and Development | 2 |
| Applied Energy | 2 |
| The Lancet | 1 |
| Current Climate Change Reports | 1 |
| Sustainable cities and society | 1 |
| Emerging Science Journal | 1 |
| Applied Soft Computing | 1 |
| Discover Geoscience | 1 |
| Science Advances | 1 |
| Nature Climate Change | 1 |
| Earth-Science Reviews | 1 |
| Results in Engineering | 1 |
| Physics of Fluids | 1 |
| Earth System Dynamics | 1 |
| Ecological Indicators | 1 |
| Comprehensive research and reviews in engineering and technology | 1 |
| Frontiers in Science | 1 |
| Horticulturae | 1 |
| Energy | 1 |
| Advanced Engineering Informatics | 1 |
| Agricultural Water Management | 1 |
| Environmental Monitoring and Assessment | 1 |
| Desalination and Water Treatment | 1 |
| The Science of The Total Environment | 1 |
| Energy Economics | 1 |
| npj Clean Water | 1 |
| International Journal of Environmental Science and Technology | 1 |
| Plants | 1 |
| Total Environment Advances | 1 |
| Engineering Geology | 1 |
| Geomatics Natural Hazards and Risk | 1 |
| Environmental Geochemistry and Health | 1 |
| Climate | 1 |
| Sustainable Cities and Society | 1 |
| Ecological Modelling | 1 |
| Hydrological Processes | 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