Weekly Literature Review
Week 18 · April 29–May 5, 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 Europe report of the Lancet Countdown on health and climate change: unp, with 179 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
- The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action
- Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments
- Regulatory Mechanisms and Breeding Strategies for Crop Drought Resistance
- A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020
- Land Use Change Alters Soil Organic Carbon: Constrained Global Patterns and Predictors
- Asymmetric impacts of forest gain and loss on tropical land surface temperature
- Crop root system architecture in drought response.
- Catalyzing climate change mitigation: investigating the influence of renewable energy investments across BRICS
- Declining Tradeoff Between Resistance and Resilience of Ecosystems to Drought
- Wildfire risk management in the era of climate change
- The hydrogen economy can reduce costs of climate change mitigation by up to 22%
- Climate projections of the Adriatic Sea: role of river release
- Regional climate change: consensus, discrepancies, and ways forward
- The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation
- Earth Virtualization Engines (EVE)
- Increasing Fire Activity in African Tropical Forests Is Associated With Deforestation and Climate Change
- A regionally refined quarter-degree global atmospheric rivers database based on ERA5
- Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections
- Livelihood vulnerability of coastal communities in context of the climate change: A index-based assessment
- Flood Risk Assessment and Extreme Precipitation
- High-resolution impact-based early warning system for riverine flooding
- Socio-hydrological modelling using participatory System Dynamics modelling for enhancing urban flood resilience through Blue-Green Infrastructure
- Biodegradable microplastics pose greater risks than conventional microplastics to soil properties, microbial community and plant growth, especially under flooded conditions
- Participatory Framework for Urban Pluvial Flood Modeling in the Digital Twin Era
- Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model
- FloodNet: Low‐Cost Ultrasonic Sensors for Real‐Time Measurement of Hyperlocal, Street‐Level Floods in New York City
- Effects of machining parameters, ultrasonic vibrations and cooling conditions on cutting forces and tool wear in meso scale ultrasonic vibrations assisted end-milling (UVAEM) of Ti–6Al–4V under dry, flooded, MQL and cryogenic environments – A statistical analysis
- Coastal Flood Induced Salinity Intrusion Risk Assessment Using a Spatial Multi-criteria Approach in the South-Western Bangladesh
- Distinguishing Extreme Precipitation Mechanisms Associated with Atmospheric Rivers and Nonatmospheric Rivers in the Lower Yangtze River Basin
- Utilizing Remote Sensing and GIS Techniques for Flood Hazard Mapping and Risk Assessment
- Machine Learning and AI for Hydrological Prediction
- River stream flow prediction through advanced machine learning models for enhanced accuracy
- Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
- Cushion gas effects on hydrogen storage in porous rocks: Insights from reservoir simulation and deep learning
- Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers
- Ensemble learning using multivariate variational mode decomposition based on the transformer for multistep-ahead streamflow forecasting
- Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data.
- Prediction of flood sensitivity based on Logistic Regression, eXtreme Gradient Boosting, and Random Forest modeling methods.
- Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
- Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data
- Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Enhancing Water Management in Smart Agriculture: A Cloud and IoT-Based Smart Irrigation System
- Photodynamic and nitric oxide therapy-based synergistic antimicrobial nanoplatform: an advanced root canal irrigation system for endodontic bacterial infections
- Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
- Runoff Management based Water Harvesting for Better Water Resources Sustainability: A Comprehensive Review
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Streamflow seasonality in a snow-dwindling world
- Airway hillocks are injury-resistant reservoirs of unique plastic stem cells
- Declining groundwater storage expected to amplify mountain streamflow reductions in a warmer world
- Spatial Sensitivity of River Flooding to Changes in Climate and Land Cover Through Explainable AI
- Spatio-temporal variations of habitat quality and its driving factors in the Yangtze River Delta region of China
- Reservoir regulation-induced variations in water level impacts cyanobacterial bloom by the changing physiochemical conditions.
- 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.
The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action
Authors: K. V. van Daalen, C. Tonne, J. Semenza, J. Rocklöv, Anil Markandya, N. Dasandi et al.
Journal: Lancet Public Health · DOI: 10.1016/s2468-2667(24)00055-0 · Citations: 179
Matched topics: climate change
Abstract not available.
Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments
Authors: Ghazaleh Tanoori, Alì Soltani, Atoosa Modiri
Journal: Urban Climate · DOI: 10.1016/j.uclim.2024.101962 · Citations: 137
Matched topics: land surface model
Abstract not available.
Regulatory Mechanisms and Breeding Strategies for Crop Drought Resistance
Authors: Zhenghua He, Pei Zhang, Haitao Jia, Shilong Zhang, Elsayed Nishawy, Xiaopeng Sun et al.
Journal: New Crops · DOI: 10.1016/j.ncrops.2024.100029 · Citations: 76
Matched topics: drought
Abstract not available.
A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020
Authors: Kun Zhang, Huiling Chen, Ning Ma, Shasha Shang, Yunquan Wang, Qinglin Xu et al.
Journal: Scientific Data · DOI: 10.1038/s41597-024-03271-7 · Citations: 54
Matched topics: hydrology, hydrologic model
Quantifying terrestrial evapotranspiration (ET) and soil moisture dynamics accurately is crucial for understanding the global water cycle and surface energy balance. We present a novel, long-term dataset of global ET and soil moisture derived from the newly developed Simple Terrestrial Hydrosphere model, version 2 (SiTHv2). This ecohydrological model, driven by multi-source satellite observations and hydrometeorological variables from reanalysis data, provides daily global ET-related estimate…
Land Use Change Alters Soil Organic Carbon: Constrained Global Patterns and Predictors
Authors: Xingzhao Huang, Muhammed Mustapha Ibrahim, Yiqi Luo, Lifen Jiang, Ji Chen, Enqing Hou
Journal: Earth s Future · DOI: 10.1029/2023ef004254 · Citations: 58
Matched topics: earth system model
Abstract Land use change (LUC) alters the global carbon (C) stock, but our estimation of the alteration remains uncertain and is a major impediment to predicting the global C cycle. The uncertainty is partly due to the limited number and geographical bias of observations, and limited exploration of its predictors. Here we generated a comprehensive global database of 5,980 observations from 790 articles. The number of sites evaluated is at least seven times larger than in previous meta‐analyse…
Asymmetric impacts of forest gain and loss on tropical land surface temperature
Authors: Yuxiang Zhang, Xuhui Wang, Xu Lian, Sien Li, Yue Li, Chi Chen et al.
Journal: Nature Geoscience · DOI: 10.1038/s41561-024-01423-3 · Citations: 53
Matched topics: land surface model, earth system model
Abstract not available.
Crop root system architecture in drought response.
Authors: Yanjun Zhang, Xi Wu, Xingrong Wang, Mingqiu Dai, Yunling Peng
Journal: Journal of genetics and genomics = Yi chuan xue bao · DOI: 10.1016/j.jgg.2024.05.001 · Citations: 54
Matched topics: drought
Drought is a natural disaster that has a profound impact on global agricultural production, significantly reduces crop yields and thereby poses a severe threat to worldwide food security. Addressing the challenge of effectively improving crop drought resistance (DR) to mitigate yield loss under drought conditions is a global issue. An optimal root system architecture (RSA) plays a pivotal role in enhancing crops’ capacity to efficiently uptake water and nutrients, which consequently strengthe…
Catalyzing climate change mitigation: investigating the influence of renewable energy investments across BRICS
Authors: Azer Dilanchiev, Бобур Уринов, Sugra Humbatova, Gunay Panahova
Journal: Economic Change and Restructuring · DOI: 10.1007/s10644-024-09702-0 · Citations: 48
Matched topics: climate change
Abstract not available.
Declining Tradeoff Between Resistance and Resilience of Ecosystems to Drought
Authors: Yao Ying, Yanxu Liu, Jiaxi Song, Shengli Tao, Yan Li, Tianjing Wu et al.
Journal: Earth s Future · DOI: 10.1029/2024ef004665 · Citations: 45
Matched topics: drought
Abstract Resistance and resilience are widely used to characterize ecosystem drought stability. Tradeoff between resistance and resilience have been reported, but its long‐term trends remain uncertain at global scale. Based on remotely sensed vegetation indices, we assessed the spatiotemporal dynamics of drought resistance and resilience. Result revealed that there was a significant decline in the tradeoff between resistance and resilience, corresponding to a substantial increase in the propo…
Wildfire risk management in the era of climate change
Authors: Costas E. Synolakis, Georgios Marios Karagiannis
Journal: PNAS Nexus · DOI: 10.1093/pnasnexus/pgae151 · Citations: 43
Matched topics: climate change
The August 8, 2023R Lahaina fire refocused attention on wildfires, public alerts, and emergency management. Wildfire risk is on the rise, precipitated through a combination of climate change, increased development in the wildland-urban interface (WUI), decades of unmitigated biomass accumulation in forests, and a long history of emphasis on fire suppression over hazard mitigation. Stemming the tide of wildfire death and destruction will involve bringing together diverse scientific disciplines…
The hydrogen economy can reduce costs of climate change mitigation by up to 22%
Authors: Paul Wolfram, Page Kyle, Jay Fuhrman, Patrick O’Rourke, Haewon McJeon
Journal: One Earth · DOI: 10.1016/j.oneear.2024.04.012 · Citations: 43
Matched topics: climate change
In response to the urgent need to mitigate climate change via net-zero targets, many nations are renewing their interest in clean hydrogen as a net-zero energy carrier. Although clean hydrogen can be directly used in various sectors for deep decarbonization, the relatively low energy density and high production costs have raised doubts as to whether clean hydrogen development is worthwhile. Here, we improve on the GCAM model by including a more comprehensive and detailed representation of cle…
Climate projections of the Adriatic Sea: role of river release
Authors: Giorgia Verri, Luca Furnari, Murat Gündüz, Alfonso Senatore, Vladimir Santos da Costa, Alessandro De Lorenzis et al.
Journal: Frontiers in Climate · DOI: 10.3389/fclim.2024.1368413 · Citations: 32
Matched topics: hydrology, river, runoff
The Adriatic Sea, characterized by unique local features in comparison to the broader Mediterranean Sea, stands out as a highly susceptible region to climate change. In this context, our study involves a focused climate downscaling approach, concentrating on the Adriatic water cycle. This encompasses integrated modeling at the mesoscale, covering the atmosphere, hydrology, and marine general circulation. The study period spans from 1992 to 2050, considering the high emission scenario RCP8.5. …
Regional climate change: consensus, discrepancies, and ways forward
Authors: Tiffany A. Shaw, Paola A. Arias, Mat Collins, Dim Coumou, Arona Diédhiou, Chaim I. Garfinkel et al.
Journal: Frontiers in Climate · DOI: 10.3389/fclim.2024.1391634 · Citations: 35
Matched topics: land surface model, climate change
Climate change has emerged across many regions. Some observed regional climate changes, such as amplified Arctic warming and land-sea warming contrasts have been predicted by climate models. However, many other observed regional changes, such as changes in tropical sea surface temperature and monsoon rainfall are not well simulated by climate model ensembles even when taking into account natural internal variability and structural uncertainties in the response of models to anthropogenic radia…
The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation
Authors: E. Shevliakova, S. Malyshev, I. Martinez‐Cano, P. Milly, S. Pacala, P. Ginoux et al.
Journal: Journal of Advances in Modeling Earth Systems · DOI: 10.1029/2023MS003922 · Citations: 32
Matched topics: land surface model, earth system model
We describe the baseline model configuration and simulation characteristics of the Geophysical Fluid Dynamics Laboratory (GFDL)’s Land Model version 4.1 (LM4.1), which builds on component and coupled model developments over 2013–2019 for the coupled carbon‐chemistry‐climate Earth System Model Version 4.1 (ESM4.1) simulation as part of the sixth phase of the Coupled Model Intercomparison Project. Analysis of ESM4.1/LM4.1 is focused on biophysical and biogeochemical processes and interactions w…
Earth Virtualization Engines (EVE)
Authors: Björn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger et al.
Journal: Earth system science data · DOI: 10.5194/essd-16-2113-2024 · Citations: 37
Matched topics: hydrology
Abstract. To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Increasing Fire Activity in African Tropical Forests Is Associated With Deforestation and Climate Change
Authors: Michael C. Wimberly, Dan Wanyama, Russell Doughty, Hélène Peiro, Sean Crowell
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl106240 · Citations: 36
Matched topics: climate change
Abstract Fires were historically rare in tropical forests of West and Central Africa, where dense vegetation, rapid decomposition, and high moisture limit available fuels. However, increasing heat and drought combined with forest degradation and fragmentation are making these areas more susceptible to wildfires. We evaluated historical patterns of Moderate Resolution Imaging Spectroradiometer active fires in African tropical forests from 2003 to 2021. Trends were mostly positive, particularly…
A regionally refined quarter-degree global atmospheric rivers database based on ERA5
Authors: Bin Guan, Duane E. Waliser
Journal: Scientific Data · DOI: 10.1038/s41597-024-03258-4 · Citations: 31
Matched topics: hydrology, river
Atmospheric rivers (ARs) are narrow, elongated, synoptic jets of water vapor that play important roles in the global water cycle. The continually developing Tracking Atmospheric Rivers Globally as Elongated Targets (tARget) algorithm identifies AR objects at individual time steps based on thresholding integrated water vapor transport (IVT) and other requirements, and tracks each AR object in time and space. Building on previous versions of tARget, this paper discusses further refinements to t…
Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections
Authors: Stefan Rahimi, Lei Huang, Jesse Norris, Alex Hall, Naomi Goldenson, Mark D. Risser et al.
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl106264 · Citations: 35
Matched topics: hydrology
Abstract Polarization surrounding bias correction (BC) in creating climate projections arises from its lack of physicality. Here, we perform and analyze 18 dynamical downscaling simulations (with and without BC) to better understand the physical impacts of BC, applied before downscaling, on regional climate output across the western United States. Without BC, downscaled precipitation is systematically and unrealistically wet biased compared to a hierarchy of observationally based datasets ove…
Livelihood vulnerability of coastal communities in context of the climate change: A index-based assessment
Authors: Milton Kumar Saha, Akm Abdul Ahad Biswas, Md. Faisal
Journal: World Development Sustainability · DOI: 10.1016/j.wds.2024.100152 · Citations: 34
Matched topics: climate change
The livelihoods of coastal communities in Bangladesh are being significantly impacted by climate change and natural hazards, primarily due to their heavy reliance on climate-sensitive natural resources. This study assesses the vulnerability of coastal communities in Bangladesh using two approaches: the Livelihood Vulnerability Index (LVI) and the LVI-IPCC approach. Primary data obtained from household surveys were used to calculate the vulnerability indices, avoiding reliance on secondary dat…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 10 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.
High-resolution impact-based early warning system for riverine flooding
Authors: Husain Najafi, Pallav Kumar Shrestha, Oldřich Rakovec, Heiko Apel, Sergiy Vorogushyn, Rohini Kumar et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-48065-y · Citations: 87
Matched topics: hydrologic model, streamflow, flood, land surface model
Despite considerable advances in flood forecasting during recent decades, state-of-the-art, operational flood early warning systems (FEWS) need to be equipped with near-real-time inundation and impact forecasts and their associated uncertainties. High-resolution, impact-based flood forecasts provide insightful information for better-informed decisions and tailored emergency actions. Valuable information can now be provided to local authorities for risk-based decision-making by utilising high-…
Socio-hydrological modelling using participatory System Dynamics modelling for enhancing urban flood resilience through Blue-Green Infrastructure
Authors: Virginia Rosa Coletta, Alessandro Pagano, Nici Zimmermann, Michael Davies, Adrian P. Butler, Umberto Fratino et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131248 · Citations: 48
Matched topics: hydrology, hydrologic model, runoff, flood, hydropower
Cities are complex systems characterised by interdependencies among infrastructural, economic, social, ecological, and human elements. Urban surface water flooding poses a significant challenge due to climate change, population growth, and ageing infrastructure, often resulting in substantial economic losses and social disruption. Traditional hydrological modelling approaches for flood risk management, while providing invaluable support in the analysis of hydrological dynamics of floods, lack…
Biodegradable microplastics pose greater risks than conventional microplastics to soil properties, microbial community and plant growth, especially under flooded conditions
Authors: Jie Wang, Minghao Jia, Long Zhang, Xiaona Li, Xiaokai Zhang, Zhenyu Wang
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.172949 · Citations: 56
Matched topics: flood
Abstract not available.
Participatory Framework for Urban Pluvial Flood Modeling in the Digital Twin Era
Authors: Samuel Park, Jaekyoung Kim, Yejin Kim, Junsuk Kang
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105496 · Citations: 50
Matched topics: hydrologic model, flood
Abstract not available.
Urban flood susceptibility mapping using remote sensing, social sensing and an ensemble machine learning model
Authors: Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105508 · Citations: 52
Matched topics: flood
Abstract not available.
FloodNet: Low‐Cost Ultrasonic Sensors for Real‐Time Measurement of Hyperlocal, Street‐Level Floods in New York City
Authors: Charlie Mydlarz, Praneeth Challagonda, Bea Steers, Jeremy Rucker, Tega Brain, Brett Branco et al.
Journal: Water Resources Research · DOI: 10.1029/2023wr036806 · Citations: 37
Matched topics: runoff, flood
Abstract Flooding is one of the most dangerous and costly natural hazards, and has a large impact on infrastructure, mobility, public health, and safety. Despite the disruptive impacts of flooding and predictions of increased flooding due to climate change, municipalities have little quantitative data available on the occurrence, frequency, or extent of urban floods. To address this, we have been designing, building, and deploying low‐cost, ultrasonic sensors to systematically collect data on…
Effects of machining parameters, ultrasonic vibrations and cooling conditions on cutting forces and tool wear in meso scale ultrasonic vibrations assisted end-milling (UVAEM) of Ti–6Al–4V under dry, flooded, MQL and cryogenic environments – A statistical analysis
Authors: Adil Rauf, Muhammad Ali Khan, Syed Husain Imran Jaffery, Shahid Ikramullah Butt
Journal: Journal of Materials Research and Technology · DOI: 10.1016/j.jmrt.2024.05.202 · Citations: 40
Matched topics: flood
Ti-6Al-4V, an alloy of titanium has recently gained focus of research to overcome its machinability challenges. Miniaturization in devices has forced a shift towards micro and meso-scale machining. Sustainability and green manufacturing concepts have shifted focus in machining from cutting fluids towards modern cooling approaches to minimize or eliminate them. In present research, cutting forces & tool wear in Ultrasonic Vibrations Assisted End Milling of Ti-6Al-4V at meso-scale under Dry, Fl…
Coastal Flood Induced Salinity Intrusion Risk Assessment Using a Spatial Multi-criteria Approach in the South-Western Bangladesh
Authors: Tahmina Akter, Muhammad Al-Amin Hoque, Sharif A. Mukul, Biswajeet Pradhan
Journal: Earth Systems and Environment · DOI: 10.1007/s41748-024-00399-9 · Citations: 37
Matched topics: flood
Abstract Bangladesh is extremely vulnerable to sea-level rise and other climate-induced extreme events, such as flooding, storm surge, and salinity intrusion. The south-western coastal region of Bangladesh is particularly vulnerable to salinity intrusion caused by cyclone induced storm surges and coastal floods. Salinity intrusion endanger land productivity by increasing both soil and surface water salinity. Detailed risk assessment using spatial mapping approach can contribute to mitigating …
Distinguishing Extreme Precipitation Mechanisms Associated with Atmospheric Rivers and Nonatmospheric Rivers in the Lower Yangtze River Basin
Authors: Yang Zhao, Jianping Li, Yuan Tian, Jiao Li
Journal: Journal of Climate · DOI: 10.1175/jcli-d-23-0400.1 · Citations: 36
Matched topics: river
Abstract This study investigates the disparity in quantitative moisture contribution and synoptic-scale vertical motion in the lower reaches of the Yangtze River basin (LYRB) for different extreme precipitation (EP) types, which are categorized as EP associated with atmospheric river (AR&EP) or EP associated with nonatmospheric river (non-AR&EP). To analyze moisture contribution, backward tracking using the Water Accounting Model-2layers is performed. In general, the remote moisture c…
Utilizing Remote Sensing and GIS Techniques for Flood Hazard Mapping and Risk Assessment
Authors: Aslam A. Al-Omari, Nawras Shatnawi, Nadim I. Shbeeb, Denis Istrati, Nikos D. Lagaros, Khairedin M. Abdalla
Journal: Civil Engineering Journal · DOI: 10.28991/cej-2024-010-05-05 · Citations: 36
Matched topics: flood
In this paper, a comprehensive flood hazard map for the vicinity of King Talal Dam in Jordan, utilizing advanced remote sensing (RS) and GIS methodologies, is developed. Key geographical and environmental factors, encompassing terrain slope, elevation, aspect, proximity to water streams, drainage density, and land use/land cover, are integrated to highlight areas with increased flood risk. This study, by employing a novel theoretical approach, harnesses the synergistic capabilities of RS and …
Machine Learning and AI for Hydrological Prediction
This week’s 10 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
River stream flow prediction through advanced machine learning models for enhanced accuracy
Authors: Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, Khaled Mohamed Khedher, Mohamed Abdelaziz Salem
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.102215 · Citations: 61
Matched topics: hydrologic model, river, streamflow
The Narmada River basin, a significant water resource in central India, plays a crucial role in supporting agricultural, industrial, and domestic water supply. Effective management of this basin requires accurate streamflow forecasting, which has become increasingly important. This study delves into streamflow forecasting using historical data from five major river stations, covering the upper reaches in the East and middle sections. The dataset spans from 1978 to 2020 and undergoes rigorous …
Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
Authors: Zhaocai Wang, Nannan Xu, Xiaoguang Bao, Junhao Wu, Xuefei Cui
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.106091 · Citations: 68
Matched topics: streamflow
Abstract not available.
Cushion gas effects on hydrogen storage in porous rocks: Insights from reservoir simulation and deep learning
Authors: Shaowen Mao, Bailian Chen, Misael M. Morales, Mohamed Lamine Malki, Mohamed Mehana
Journal: International Journal of Hydrogen Energy · DOI: 10.1016/j.ijhydene.2024.04.288 · Citations: 50
Matched topics: reservoir
Abstract not available.
Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers
Authors: Ardalan Izadi, Nastaran Zarei, Mohammad Reza Nikoo, Malik Al-Wardy, Farhad Yazdandoost
Journal: Expert Systems with Applications · DOI: 10.1016/j.eswa.2024.124139 · Citations: 29
Matched topics: hydrologic model, river, runoff, streamflow, seasonal
Abstract not available.
Ensemble learning using multivariate variational mode decomposition based on the transformer for multistep-ahead streamflow forecasting
Authors: J. Fang, Linshan Yang, Xiaohu Wen, Haijiao Yu, Weide Li, J. Adamowski et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131275 · Citations: 44
Matched topics: streamflow
Abstract not available.
Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data.
Authors: Seok Min Hong, B. Morgan, M. Stocker, Jaclyn E. Smith, Moon S. Kim, Kyung Hwa Cho et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.121861 · Citations: 37
Matched topics: irrigation
The rapid and efficient quantification of Escherichia coli concentrations is crucial for monitoring water quality. Remote sensing techniques and machine learning algorithms have been used to detect E. coli in water and estimate its concentrations. The application of these approaches, however, is challenged by limited sample availability and unbalanced water quality datasets. In this study, we estimated the E. coli concentration in an irrigation pond in Maryland, USA, during the summer season …
Prediction of flood sensitivity based on Logistic Regression, eXtreme Gradient Boosting, and Random Forest modeling methods.
Authors: Ying Wu, Zhiming Zhang, Xiaotian Qi, Wenhan Hu, Shuai Si
Journal: Water Science and Technology · DOI: 10.2166/wst.2024.146 · Citations: 35
Matched topics: flood
Floods are one of the most destructive disasters that cause loss of life and property worldwide every year. In this study, the aim was to find the best-performing model in flood sensitivity assessment and analyze key characteristic factors, the spatial pattern of flood sensitivity was evaluated using three machine learning (ML) models: Logistic Regression (LR), eXtreme Gradient Boosting (XGBoost), and Random Forest (RF). Suqian City in Jiangsu Province was selected as the study area, and a ra…
Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
Authors: Soobin Kim, Eunhee Lee, Hyoun‐Tae Hwang, JongCheol Pyo, Daeun Yun, Sang‐Soo Baek et al.
Journal: Water Research X · DOI: 10.1016/j.wroa.2024.100228 · Citations: 15
Matched topics: hydrology, hydrologic model, streamflow, land surface model, surface water
The impacts of climate change on hydrology underscore the urgency of understanding watershed hydrological patterns for sustainable water resource management. The conventional physics-based fully distributed hydrological models are limited due to computational demands, particularly in the case of large-scale watersheds. Deep learning (DL) offers a promising solution for handling large datasets and extracting intricate data relationships. Here, we propose a DL modeling framework, incorporating …
Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data
Authors: Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131263 · Citations: 34
Matched topics: streamflow
This paper investigates the application of physics-informed neural networks (PINNs) to solve free-surface flow problems governed by the 2D shallow water equations (SWEs). Two types of PINNs are developed and analyzed: a physics-informed fully connected neural network (PIFCN) and a physics-informed convolutional neural network (PICN). The PINNs eliminate the need for labeled data for training by employing the SWEs, initial and boundary conditions as components of the loss function to be minimi…
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Authors: Xianzhong Ding, Wan Du
Journal: ACM Transactions on Sensor Networks · DOI: 10.1145/3662182 · Citations: 34
Matched topics: irrigation
Agricultural irrigation is a significant contributor to freshwater consumption. However, the current irrigation systems used in the field are not efficient. They rely mainly on soil moisture sensors and the experience of growers but do not account for future soil moisture loss. Predicting soil moisture loss is challenging because it is influenced by numerous factors, including soil texture, weather conditions, and plant characteristics. This article proposes a solution to improve irrigation e…
Hydropower and Renewable Energy-Water Systems
The integration of hydropower with renewable energy systems is addressed by 1 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.
Excavation response and reinforcement practice of large underground caverns within high-stress hard rock masses: The case of Shuangjiangkou hydropower Station, China
Authors: Xiu-yang Liu, Ding-ping Xu, Quan Jiang, Xing-dong Ma
Journal: Tunnelling and Underground Space Technology · DOI: 10.1016/j.tust.2024.105698 · Citations: 38
Matched topics: hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 4 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.
Enhancing Water Management in Smart Agriculture: A Cloud and IoT-Based Smart Irrigation System
Authors: B. Et-taibi, M. Abid, E. Boufounas, Abdennabi Morchid, Safae Bourhnane, Tareq Abu Hamed et al.
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.102283 · Citations: 124
Matched topics: water management, irrigation
Abstract not available.
Photodynamic and nitric oxide therapy-based synergistic antimicrobial nanoplatform: an advanced root canal irrigation system for endodontic bacterial infections
Authors: Youyun Zeng, Xiangyu Hu, Zhibin Cai, Dongchao Qiu, Ying Ran, Yiqin Ding et al.
Journal: Journal of Nanobiotechnology · DOI: 10.1186/s12951-024-02483-8 · Citations: 38
Matched topics: irrigation
The main issues faced during the treatment of apical periodontitis are the management of bacterial infection and the facilitation of the repair of alveolar bone defects to shorten disease duration. Conventional root canal irrigants are limited in their efficacy and are associated with several side effects. This study introduces a synergistic therapy based on nitric oxide (NO) and antimicrobial photodynamic therapy (aPDT) for the treatment of apical periodontitis. This research developed a mul…
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
Authors: Sachin P. Shinde, V. N. Barai, B. K. Gavit, S. A. Kadam, A. A. Atre, Chaitanya B. Pande et al.
Journal: Environmental Sciences Europe · DOI: 10.1186/s12302-024-00906-9 · Citations: 36
Matched topics: land surface model
Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable rainfall due to climate change and pollution on the Earth’s surface directly affects groundwater resources. In this area, most people depend on groundwater resources for irrigation and drinking purposes, and every summer, most of the area depends on groundwater in a semiarid environment. Hence, we selected two popular …
Runoff Management based Water Harvesting for Better Water Resources Sustainability: A Comprehensive Review
Authors: Ziaul Haq Doost, Mohammad Alsuwaiyan, Z. Yaseen
Journal: Knowledge-Based Engineering and Sciences · DOI: 10.51526/kbes.2024.5.1.1-45 · Citations: 33
Matched topics: runoff
The exacerbation of drought conditions has significantly enhanced water scarcity, notably impacting arid and semi-arid regions globally. Consequently, effective runoff management has emerged as a critical and formidable challenge. This comprehensive review addresses the critical challenge of runoff management for water resources sustainability, specifically through the lens of dam site selection employing MCA. A systematic investigation into the origins and methodologies of runoff management …
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 6 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.
Streamflow seasonality in a snow-dwindling world
Authors: Juntai Han, Ziwei Liu, R. Woods, T. McVicar, Dawen Yang, Taihua Wang et al.
Journal: Nature · DOI: 10.1038/s41586-024-07299-y · Citations: 97
Matched topics: streamflow
Abstract not available.
Airway hillocks are injury-resistant reservoirs of unique plastic stem cells
Authors: Brian Lin, Viral S. Shah, Chaim Chernoff, Jiawei Sun, Gergana Shipkovenska, Vladimír Vinarský et al.
Journal: Nature · DOI: 10.1038/s41586-024-07377-1 · Citations: 61
Matched topics: reservoir
Abstract not available.
Declining groundwater storage expected to amplify mountain streamflow reductions in a warmer world
Authors: Rosemary W. H. Carroll, R. Niswonger, C. Ulrich, C. Varadharajan, E. Siirila‐Woodburn, K. Williams
Journal: Nature Water · DOI: 10.1038/s44221-024-00239-0 · Citations: 55
Matched topics: streamflow
Groundwater interactions with mountain streams are often simplified in model projections, potentially leading to inaccurate estimates of streamflow response to climate change. Here, using a high-resolution, integrated hydrological model extending 400 m into the subsurface, we find groundwater an important and stable source of historical streamflow in a mountainous watershed of the Colorado River. In a warmer climate, increased forest water use is predicted to reduce groundwater recharge resul…
Spatial Sensitivity of River Flooding to Changes in Climate and Land Cover Through Explainable AI
Authors: Louise Slater, Gemma Coxon, Manuela I. Brunner, Hilary McMillan, Le Yu, Yanchen Zheng et al.
Journal: Earth s Future · DOI: 10.1029/2023ef004035 · Citations: 23
Matched topics: hydrology, river, runoff, streamflow, flood
Abstract Explaining the spatially variable impacts of flood‐generating mechanisms is a longstanding challenge in hydrology, with increasing and decreasing temporal flood trends often found in close regional proximity. Here, we develop a machine learning‐informed approach to unravel the drivers of seasonal flood magnitude and explain the spatial variability of their effects in a temperate climate. We employ 11 observed meteorological and land cover (LC) time series variables alongside 8 static…
Spatio-temporal variations of habitat quality and its driving factors in the Yangtze River Delta region of China
Authors: Shulin Chen, Xiaotong Liu
Journal: Global Ecology and Conservation · DOI: 10.1016/j.gecco.2024.e02978 · Citations: 37
Matched topics: river
Global biodiversity is still being lost at an alarming rate. How to slow the destruction of habitats to protect biodiversity is an urgent issue. As one of the most rapidly developing and active economic regions in China, the habitat quality assessment and impact factor analysis in the Yangtze River Delta region are important for promoting socio-economic development and improving the local ecological environment. The InVEST mode and Geodetector method was used to explore the spatial and tempor…
Reservoir regulation-induced variations in water level impacts cyanobacterial bloom by the changing physiochemical conditions.
Authors: Yuan Li, Lingchao Fang, Guangrong Cao, Wujuan Mi, Cheyenne Lei, Kai Zhu et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.121836 · Citations: 36
Matched topics: reservoir
Gaining insight into the impact of reservoir regulation on algal blooms is essential for comprehending the dynamic changes and response mechanisms in the reservoir ecosystem. In this study, we conducted a comprehensive field investigation linking physiochemical parameters, and phytoplankton community to different water regimes in the Three Gorges Reservoir. Our aim was to explore the effects of reservoir regulation on the extinction of cyanobacterial blooms. The results showed that during the…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 843 |
| After deduplication | 660 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 610 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Hydrology | 3 |
| Earth s Future | 3 |
| Results in Engineering | 2 |
| Nature | 2 |
| Scientific Data | 2 |
| Sustainable Cities and Society | 2 |
| Frontiers in Climate | 2 |
| Water Research | 2 |
| Geophysical Research Letters | 2 |
| Lancet Public Health | 1 |
| Urban Climate | 1 |
| Nature Communications | 1 |
| New Crops | 1 |
| Environmental Modelling & Software | 1 |
| Nature Geoscience | 1 |
| The Science of The Total Environment | 1 |
| Nature Water | 1 |
| Journal of genetics and genomics = Yi chuan xue bao | 1 |
| International Journal of Hydrogen Energy | 1 |
| Expert Systems with Applications | 1 |
| Economic Change and Restructuring | 1 |
| PNAS Nexus | 1 |
| One Earth | 1 |
| Water Resources Research | 1 |
| Journal of Nanobiotechnology | 1 |
| Journal of Materials Research and Technology | 1 |
| Journal of Advances in Modeling Earth Systems | 1 |
| Tunnelling and Underground Space Technology | 1 |
| Earth system science data | 1 |
| Global Ecology and Conservation | 1 |
| Earth Systems and Environment | 1 |
| Journal of Climate | 1 |
| Civil Engineering Journal | 1 |
| Environmental Sciences Europe | 1 |
| Water Science and Technology | 1 |
| Water Research X | 1 |
| World Development Sustainability | 1 |
| ACM Transactions on Sensor Networks | 1 |
| Knowledge-Based Engineering and Sciences | 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