Weekly Literature Review
Week 33 · August 15–August 21, 2022
50 relevant papers found across 6 themes
Executive Summary
A landmark study in Nature Climate Change reveals that climate change threatens terrestrial water storage across the Tibetan Plateau, with critical implications for downstream water resources serving nearly two billion people. This week also saw substantial advances in machine learning for hydrological prediction, including physics-informed neural networks and differentiable hydrology frameworks, alongside a comprehensive review of extreme precipitation events and multiple studies advancing flood risk assessment methodologies worldwide.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- Climate change threatens terrestrial water storage over the Tibetan Plateau
- Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2
- Land-atmosphere coupling speeds up flash drought onset
- Process-oriented analysis of dominant sources of uncertainty in the land carbon sink
- Projection of droughts and their socioeconomic exposures based on terrestrial water storage anomaly over China
- Lowering water table reduces carbon sink strength and carbon stocks in northern peatlands
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models
- A Novel Approach to Identify the Characteristics of Drought under Future Climate Change Scenario
- Flood Risk Assessment and Extreme Precipitation
- Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
- Extreme precipitation events
- Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
- Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Türkiye
- Resilience benefit assessment for multi-scale urban flood control programs
- Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems
- Analysis, prioritization and strategic planning of flood mitigation projects based on sustainability dimensions and a spatial/value AHP-GIS system
- Three-reference-point based group ELECTRE III method for urban flood resilience evaluation
- Madden–Julian Oscillation-induced extreme rainfalls constrained by global warming mitigation
- Climate change attribution of the 2021 Henan extreme precipitation: Impacts of convective organization
- The tale of three floods: From extreme events and cascades of highs to anthropogenic floods
- Machine Learning and AI for Hydrological Prediction
- Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
- Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
- Covariance Matrix Adaptation Evolution Strategy for Improving Machine Learning Approaches in Streamflow Prediction
- Physics-Informed Neural Networks for Modeling Water Flows in a River Channel
- Daily Streamflow Prediction and Uncertainty Using a Long Short-Term Memory (LSTM) Network Coupled with Bootstrap
- Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds
- A Differentiable Hydrology Approach for Modeling With Time‐Varying Parameters
- Hydropower and Renewable Energy-Water Systems
- Optimal capacity configuration of hydro-wind-PV hybrid system and its coordinative operation rules considering the UHV transmission and reservoir operation requirements
- Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
- Integrated design of photovoltaic power generation plant with pumped hydro storage system and irrigation facility at the Uhuelem-Amoncha African community
- Contribution of complementary operation in adapting to climate change impacts on a large-scale wind–solar–hydro system: A case study in the Yalong River Basin, China
- Water Management, Irrigation, and Groundwater
- Integrated water resources management in cities in the world: Global solutions
- The United Nations World Water Development Report 2022 on groundwater, a synthesis
- Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran
- How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?
- From participatory process to robust decision-making: An Agriculture-water-energy nexus analysis for the Souss-Massa basin in Morocco
- Evolution of agricultural development and land-water-food nexus in Central Asia
- Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis
- Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling
- Classification analysis of blue and green water quantities for a large-scale watershed of southwest China
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Forest harvesting and hydrology in boreal Forests: Under an increased and cumulative disturbance context
- Spatial patterns of snow distribution in the sub-Arctic
- Comparison of snowpack structure in gaps and under the canopy in a humid boreal forest
- Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel
- Evaluating Satellite Soil Moisture Datasets for Drought Monitoring in Australia and the South-West Pacific
- Hydrological response to land use and land cover change on the slopes of Kilimanjaro and Meru Mountains
- Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy)
- The responses of river discharge and sediment load to historical land-use/land-cover change in the Mekong River Basin
- Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient
- Roles of dam and climate change in thermal regime alteration of a large river
- Hydro-Geophysical Evaluation of the Regional Variability of Senegal’s Terrestrial Water Storage Using Time-Variable Gravity Data
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week’s most impactful cluster centers on how climate change is reshaping terrestrial water storage and drought dynamics globally. Li et al. demonstrate in Nature Climate Change that the Tibetan Plateau faces severe threats to its water storage under continued warming, with implications cascading to billions of downstream users. Complementing this large-scale perspective, Zhang et al. reveal a counterintuitive mechanism whereby rising CO2 actually increases dryland vegetation sensitivity to precipitation despite reducing leaf-level transpiration. Several studies address drought processes from different angles: Wang and Yuan show that land-atmosphere coupling accelerates flash drought onset, while Yin et al. project drought exposures across China using terrestrial water storage anomalies. O’Sullivan et al. provide critical insights into the dominant uncertainty sources in land carbon sink models—relevant because carbon-water feedbacks are tightly coupled in Earth system models. The peatland study by Kwon et al. demonstrates that lowering water tables reduces carbon sink strength, highlighting the interconnection between hydrological and biogeochemical cycles. Quilcaille et al. advance ESM emulation capabilities with MESMER-X for spatially resolved temperature extremes, while Padhiary et al. propose a novel framework for characterizing future drought under climate change scenarios.
Climate change threatens terrestrial water storage over the Tibetan Plateau
Authors: Xueying Li, D. Long, B. Scanlon, M. Mann, Xingdong Li, F. Tian et al.
Journal: Nature Climate Change · DOI: 10.1038/s41558-022-01443-0 · Citations: 357
Matched topics: climate change
Abstract not available.
Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2
Authors: Yao Zhang, Pierre Gentine, Xiangzhong Luo, Xu Lian, Yanlan Liu, Sha Zhou et al.
Journal: Nature Communications · DOI: 10.1038/s41467-022-32631-3 · Citations: 264
Matched topics: hydrologic model, runoff, streamflow, drought, land surface model
universally decreases the precipitation sensitivity by reducing leaf-level transpiration, particularly in wet regions. However, in drylands, this leaf-level transpiration reduction is overridden at the canopy scale by a large proportional increase in leaf area. The increased sensitivity for global drylands implies a potential decrease in ecosystem stability and greater impacts of droughts in these vulnerable ecosystems under continued global change.
Land-atmosphere coupling speeds up flash drought onset
Authors: Yumiao Wang, Xing Yuan
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2022.158109 · Citations: 99
Matched topics: drought
Abstract not available.
Process-oriented analysis of dominant sources of uncertainty in the land carbon sink
Authors: Michael O’Sullivan, Pierre Friedlingstein, Stephen Sitch, Peter Anthoni, Almut Arneth, Vivek K. Arora et al.
Journal: Nature Communications · DOI: 10.1038/s41467-022-32416-8 · Citations: 82
Matched topics: land surface model, earth system model
(and to a smaller extent to LULCC), and the response of soil to LULCC (and to a lesser extent climate). Overall, differences in turnover explain ~70% of model spread in both vegetation and soil carbon changes. Further analysis of internal plant and soil (individual pools) cycling is needed to reduce uncertainty in the controlling processes behind the global land carbon sink.
Projection of droughts and their socioeconomic exposures based on terrestrial water storage anomaly over China
Authors: Jiabo Yin, Shenglian Guo, Yan Yang, Jie Chen, Lei Gu, Jun Wang et al.
Journal: Science China Earth Sciences · DOI: 10.1007/s11430-021-9927-x · Citations: 66
Matched topics: hydrologic model, runoff, drought
Abstract not available.
Lowering water table reduces carbon sink strength and carbon stocks in northern peatlands
Authors: Min Jung Kwon, Ashley P. Ballantyne, Philippe Ciais, Chunjing Qiu, Élodie Salmon, Nina Raoult et al.
Journal: Global Change Biology · DOI: 10.1111/gcb.16394 · Citations: 47
Matched topics: hydrology, land surface model
emissions, thus slightly reducing the positive carbon climate feedbacks of peatlands under a warmer and drier future climate scenario.
Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models
Authors: Yann Quilcaille, Lukas Gudmundsson, Lea Beusch, Mathias Hauser, Sonia I. Seneviratne
Journal: Geophysical Research Letters · DOI: 10.1029/2022gl099012 · Citations: 38
Matched topics: hydrology, earth system model
Emulators of Earth System Models (ESMs) are complementary to ESMs by providing climate information at lower computational costs. Thus far, the emulation of spatially resolved climate extremes has only received limited attention, even though extreme events are one of the most impactful aspects of climate change. Here, we propose a method for the emulation of local annual maximum temperatures, with a focus on reproducing essential statistical properties such as correlations in space and time. W…
A Novel Approach to Identify the Characteristics of Drought under Future Climate Change Scenario
Authors: Jagadish Padhiary, Kanhu Charan Patra, Sonam Sandeep Dash
Journal: Water Resources Management · DOI: 10.1007/s11269-022-03296-w · Citations: 20
Matched topics: hydrologic model, streamflow, drought, climate change
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk mapping and extreme precipitation research saw intense activity this week, with multiple studies advancing GIS-based and machine learning approaches for flood susceptibility assessment. Gimeno et al. provide a comprehensive review of extreme precipitation events in WIREs Water, synthesizing current understanding of drivers, trends, and future projections. Several studies apply analytical hierarchical process (AHP) methods to flood susceptibility mapping in diverse regions—Mitra et al. in West Bengal India, Al-Aizari et al. in Yemen, and Yılmaz in Turkey—collectively demonstrating the broad applicability and limitations of multi-criteria decision frameworks. Wu et al. advance urban flood resilience assessment through a multi-scale benefit framework published in Journal of Hydrology. A particularly innovative contribution comes from Sawada et al., who investigate the “cry wolf” effect on flood early warning system efficiency, revealing how false alarms erode social preparedness. Aidinidou et al. integrate sustainability dimensions into flood mitigation project prioritization, while Tu et al. develop a group decision-making method for urban flood resilience evaluation. Han et al. attribute the devastating 2021 Henan extreme precipitation to convective organization influenced by climate change, and Liang et al. constrain MJO-induced extreme rainfall projections under warming scenarios. Alborzi et al. analyze three major Iranian floods, revealing the interplay between extreme events and anthropogenic factors.
Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India
Authors: Rajib Mitra, Piu Saha, J. Das
Journal: Geomatics, Natural Hazards & Risk · DOI: 10.1080/19475705.2022.2112094 · Citations: 99
Matched topics: flood
Abstract Floods have received global significance in contemporary times due to their destructive behavior, which may wreak tremendous ruin on infrastructure and civilization. The present research employed an integration of the Geographic information system (GIS) and Analytical Hierarchy Process (AHP) method for identifying the flood susceptibility zonation (FSZ), flood vulnerability zonation (FVZ), and flood risk zonation (FRZ) of the humid subtropical Uttar Dinajpur district in India. The st…
Extreme precipitation events
Authors: Luís Gimeno, Rogert Sorí, M. Vázquez, Milica Stojanovic, Iago Algarra, Jorge Eiras‐Barca et al.
Journal: Wiley Interdisciplinary Reviews Water · DOI: 10.1002/wat2.1611 · Citations: 90
Matched topics: hydrology, earth system model
Abstract The effect of increased populations concentrated in urban areas, coupled with the ongoing threat of climate change, means that society is becoming increasingly vulnerable to the effects of extreme precipitation. The study of these events is therefore a key topic in climate research, in their physical basis, in the study of their impacts, and in our adaptation to them. From a meteorological perspective, the main questions are related to the definition of extreme events, changes in the…
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Authors: Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, Jiquan Zhang, Kashif Ullah, Abu Reza Md. Towfiqul Islam et al.
Journal: Remote Sensing · DOI: 10.3390/rs14164050 · Citations: 74
Matched topics: flood
Flooding is one of the catastrophic natural hazards worldwide that can easily cause devastating effects on human life and property. Remote sensing devices are becoming increasingly important in monitoring and assessing natural disaster susceptibility and hazards. The proposed research work pursues an assessment analysis of flood susceptibility in a tropical desert environment: a case study of Yemen. The base data for this research were collected and organized from meteorological, satellite im…
Flood hazard susceptibility areas mapping using Analytical Hierarchical Process (AHP), Frequency Ratio (FR) and AHP-FR ensemble based on Geographic Information Systems (GIS): a case study for Kastamonu, Türkiye
Authors: Osman Salih Yılmaz
Journal: Acta Geophysica · DOI: 10.1007/s11600-022-00882-9 · Citations: 44
Matched topics: flood
Abstract not available.
Resilience benefit assessment for multi-scale urban flood control programs
Authors: Yawen Wu, Yu Guangyuan, Quanxi Shao
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2022.128349 · Citations: 39
Matched topics: flood
Abstract not available.
Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems
Authors: Yohei Sawada, Rin Kanai, Hitomu Kotani
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-26-4265-2022 · Citations: 33
Matched topics: hydrology, hydrologic model, flood
Abstract. To improve the efficiency of flood early warning systems (FEWS), it is important to understand the interactions between natural and social systems. The high level of trust in authorities and experts is necessary to improve the likeliness of individuals to take preparedness actions responding to warnings. Despite many efforts to develop the dynamic model of human and water in socio-hydrology, no socio-hydrological models explicitly simulate social collective trust in FEWS. Here, we d…
Analysis, prioritization and strategic planning of flood mitigation projects based on sustainability dimensions and a spatial/value AHP-GIS system
Authors: Marina T. Aidinidou, Konstantinos Kaparis, Andreas C. Georgiou
Journal: Expert Systems with Applications · DOI: 10.1016/j.eswa.2022.118566 · Citations: 33
Matched topics: flood
Abstract not available.
Three-reference-point based group ELECTRE III method for urban flood resilience evaluation
Authors: Yan Tu, Hongwei Shi, Kai Chen, Yingying Liang, Xiaoyang Zhou, Benjamin Lev
Journal: Expert Systems with Applications · DOI: 10.1016/j.eswa.2022.118488 · Citations: 28
Matched topics: flood
Abstract not available.
Madden–Julian Oscillation-induced extreme rainfalls constrained by global warming mitigation
Authors: Shijing Liang, Dashan Wang, Alan D. Ziegler, Laurent Li, Zhenzhong Zeng
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-022-00291-1 · Citations: 27
Matched topics: earth system model
Abstract The sixth assessment report of the IPCC indicates low-to-high confidence in trends of extreme rainfall with regional inconsistency in the tropics, where a key phenomenon causing intra-seasonal variations in weather is the Madden–Julian Oscillation (MJO). It remains unknown how the MJO-induced extreme rainfall and the societal exposure may change in response to global warming and climate mitigation attempts. Here, using eight CMIP6 models that capture the eastward-propagating MJO stru…
Climate change attribution of the 2021 Henan extreme precipitation: Impacts of convective organization
Authors: Qin Han, Wei Zheng Yuan, Jun Wang, Yang Chen, Panxi Dai, Adam H. Sobel et al.
Journal: Science China Earth Sciences · DOI: 10.1007/s11430-022-9953-0 · Citations: 25
Matched topics: climate change
Abstract not available.
The tale of three floods: From extreme events and cascades of highs to anthropogenic floods
Authors: Aneseh Alborzi, Yunxia Zhao, Ali Nazemi, Ali Mirchi, Iman Mallakpour, Hamed Moftakhari et al.
Journal: Weather and Climate Extremes · DOI: 10.1016/j.wace.2022.100495 · Citations: 22
Matched topics: runoff, streamflow, flood
Right after a devastating multi-year drought, a number of flood events with unprecedented spatial extent hit different parts of Iran over the 2-week period of March 17th to April 1st, 2019, causing a human disaster and substantial loss of assets and infrastructure across urban and rural areas. Here, we investigate natural (e.g., rainfall, snow accumulation/melt, soil moisture) and anthropogenic drivers (e.g., deforestation, urbanization, and management practices) of these events using a range…
Machine Learning and AI for Hydrological Prediction
Machine learning applications in hydrology continue to accelerate, with this week featuring notable advances in both methodology and interpretability. Mamalakis et al. address a critical gap by investigating the fidelity of explainable AI methods for convolutional neural networks in geoscience—essential for building trust in ML-based hydrological predictions. Lin et al. demonstrate the effectiveness of gated recurrent unit (GRU) deep neural networks for groundwater level forecasting, while Ikram et al. show that covariance matrix adaptation evolution strategy (CMA-ES) can substantially improve ML model performance for streamflow prediction. Physics-informed approaches are gaining traction: Nazari et al. apply physics-informed neural networks (PINNs) to model water flows in river channels, and Li et al. develop a physics-informed data-driven model that provides mechanistic insights into irrigated watershed hydrology. Wang et al. couple LSTM networks with bootstrap methods to quantify prediction uncertainty in daily streamflow. Perhaps most notably, Krapu and Borsuk introduce a differentiable hydrology approach in Water Resources Research that enables modeling with time-varying parameters—a significant methodological advance for capturing non-stationary hydrological behavior.
Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
Authors: Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert‐Uphoff
Journal: Artificial Intelligence for the Earth Systems · DOI: 10.1175/aies-d-22-0012.1 · Citations: 86
Matched topics: hydrology, earth system model
Abstract Convolutional neural networks (CNNs) have recently attracted great attention in geoscience because of their ability to capture nonlinear system behavior and extract predictive spatiotemporal patterns. Given their black-box nature, however, and the importance of prediction explainability, methods of explainable artificial intelligence (XAI) are gaining popularity as a means to explain the CNN decision-making strategy. Here, we establish an intercomparison of some of the most popular X…
Time series-based groundwater level forecasting using gated recurrent unit deep neural networks
Authors: Haiping Lin, Amin Gharehbaghi, Qian Zhang, Shahab S. Band, Hao Ting Pai, Kwok‐wing Chau et al.
Journal: Engineering Applications of Computational Fluid Mechanics · DOI: 10.1080/19942060.2022.2104928 · Citations: 80
Matched topics: hydrology, streamflow, hydropower
In this research, the mean monthly groundwater level with a range of 3.78 m in Qoaay plain, Iran, is forecast. Regarding three different layers of gated recurrent unit (GRU) structures and a hybrid of variational mode decomposition with gated recurrent unit (VMD-GRU), deep learning-based neural network models are developed. As the base model for performance comparison, the general single-long short-term memory-layer network model is developed. In all models, the module of sequence-to-one is u…
Covariance Matrix Adaptation Evolution Strategy for Improving Machine Learning Approaches in Streamflow Prediction
Authors: Rana Muhammad Adnan Ikram, Leonardo Goliatt, Özgür Kişi, Slaviša Trajković, Shamsuddin Shahid
Journal: Mathematics · DOI: 10.3390/math10162971 · Citations: 35
Matched topics: hydrology, streamflow, hydropower
Precise streamflow estimation plays a key role in optimal water resource use, reservoirs operations, and designing and planning future hydropower projects. Machine learning models were successfully utilized to estimate streamflow in recent years In this study, a new approach, covariance matrix adaptation evolution strategy (CMAES), was utilized to improve the accuracy of seven machine learning models, namely extreme learning machine (ELM), elastic net (EN), Gaussian processes regression (GPR)…
Physics-Informed Neural Networks for Modeling Water Flows in a River Channel
Authors: Luis Fernando Nazari, Eduardo Camponogara, Laio Oriel Seman
Journal: IEEE Transactions on Artificial Intelligence · DOI: 10.1109/tai.2022.3200028 · Citations: 29
Matched topics: hydrologic model, river
The impacts incurred by floods regularly affect the planet’s population, inflicting social and economic problems. Optimal control strategies based on reservoir management may aid in controlling floods and mitigating the resulting damage. To this end, an accurate dynamic representation of water systems is needed. In practice, flood control strategies rely on hydrological forecasting models obtained from conceptual or data-driven methods. Encouraged by recent works, this research proposes a nov…
Daily Streamflow Prediction and Uncertainty Using a Long Short-Term Memory (LSTM) Network Coupled with Bootstrap
Authors: Zhuoqi Wang, Yuan Si, Haibo Chu
Journal: Water Resources Management · DOI: 10.1007/s11269-022-03264-4 · Citations: 28
Matched topics: streamflow
Abstract not available.
Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds
Authors: Kailong Li, Guohe Huang, Shuo Wang, Saman Razavi
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2022.128323 · Citations: 27
Matched topics: hydrologic model, streamflow, irrigation
Abstract not available.
A Differentiable Hydrology Approach for Modeling With Time‐Varying Parameters
Authors: C. Krapu, M. Borsuk
Journal: Water Resources Research · DOI: 10.1029/2021WR031377 · Citations: 14
Matched topics: hydrology, runoff, streamflow
In the analysis of observational data with mathematical models, it is often desirable to let one or more model parameters vary with time to account for changing environmental conditions or to offer more flexibility. A standard approach for dynamic models is to allow for the number of parameters to grow as a function of time, leading to a high‐dimensional inference problem for long data records. We propose using Hamiltonian Monte Carlo, a gradient‐based Markov chain Monte Carlo (MCMC) method, …
Hydropower and Renewable Energy-Water Systems
The integration of hydropower with variable renewable energy sources emerged as a key theme, with several studies addressing optimal design and operation of hybrid energy-water systems. Ma and Liu tackle the optimal capacity configuration of hydro-wind-PV hybrid systems considering ultra-high voltage transmission constraints and reservoir operation requirements. Hanoon et al. apply machine learning to predict hydropower generation at the Three Gorges Dam, demonstrating the potential of data-driven approaches for operational forecasting. Onu et al. present an integrated design combining photovoltaic generation with pumped hydro storage and irrigation for an African community, highlighting the multi-use potential of water infrastructure. Cheng et al. evaluate how complementary operation of wind-solar-hydro systems in the Yalong River Basin can help adapt to climate change impacts, with the paper matched by five search queries—reflecting its broad relevance across hydrology, river management, and renewable energy topics.
Optimal capacity configuration of hydro-wind-PV hybrid system and its coordinative operation rules considering the UHV transmission and reservoir operation requirements
Authors: Chao Ma, Lu Liu
Journal: Renewable Energy · DOI: 10.1016/j.renene.2022.08.048 · Citations: 56
Matched topics: reservoir, hydropower
Abstract not available.
Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
Authors: Marwah Sattar Hanoon, Ali Najah Ahmed, Arif Razzaq, Atheer Y. Oudah, Ahmed Alkhayyat, Yuk Feng Huang et al.
Journal: Ain Shams Engineering Journal · DOI: 10.1016/j.asej.2022.101919 · Citations: 55
Matched topics: hydropower
Machine learning models have been effectively applied to predict certain variable in several engineering applications where the variable is highly stochastic in nature and complex to identify utilizing the classical mathematical models. Therefore, this study investigates the capability of various machine learning algorithms in predicting the power production of a reservoir located in China using data from 1979 to 2016. In this study, different supervised and unsupervised machine learning algo…
Integrated design of photovoltaic power generation plant with pumped hydro storage system and irrigation facility at the Uhuelem-Amoncha African community
Authors: Uchenna Godswill Onu, Giuseppe Silva, Antônio Carlos Zambroni de Souza, Benedito Donizeti Bonatto, Vinicius Costa
Journal: Renewable Energy · DOI: 10.1016/j.renene.2022.08.059 · Citations: 49
Matched topics: irrigation
Abstract not available.
Contribution of complementary operation in adapting to climate change impacts on a large-scale wind–solar–hydro system: A case study in the Yalong River Basin, China
Authors: Qian Cheng, Pan Liu, Jun Xia, Bo Ming, Lei Cheng, Jie Chen et al.
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2022.119809 · Citations: 48
Matched topics: hydrologic model, river, streamflow, climate change, hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans from global syntheses to precision irrigation technologies. Koop et al. present a comprehensive global analysis of integrated water resources management in cities, while Pointet synthesizes the 2022 UN World Water Development Report’s emphasis on groundwater as a critical yet undervalued resource. Ghorbani et al. demonstrate the use of InSAR remote sensing to measure land subsidence from groundwater withdrawal in Iran, providing quantitative evidence of overexploitation impacts. On the irrigation front, Zappa et al. critically examine how accurately satellite soil moisture data can retrieve irrigation timing and water amounts—a key question for scaling precision agriculture. Almulla et al. apply a participatory water-energy-food nexus framework in Morocco, while Han et al. trace the evolution of the land-water-food nexus in Central Asia. Li et al. conduct a meta-analysis of deficit irrigation scheduling across crops, and Kumar et al. develop site-specific irrigation scheduling using inverse soil hydraulic modeling. Li et al. classify blue and green water quantities for a large watershed in southwest China, contributing to spatially explicit water resource accounting.
Integrated water resources management in cities in the world: Global solutions
Authors: Stef Koop, Chloé Grison, Steven J. Eisenreich, Jan Hofman, Kees van Leeuwen
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2022.104137 · Citations: 111
Matched topics: water management
Population growth, urbanisation, climate change, biodiversity loss, energy use, water security and ageing infrastructures for water supply and treatment require a thorough understanding of the options available for moving towards sustainable cities. The present study provides an analysis of transformation patterns regarding integrated water resources management (IWRM) of cities across the globe. We evaluate IWRM in 125 cities with 48 mostly quantitative indicators collected for each city by p…
The United Nations World Water Development Report 2022 on groundwater, a synthesis
Authors: Thierry Pointet
Journal: LHB · DOI: 10.1080/27678490.2022.2090867 · Citations: 87
Matched topics: runoff
This paper is a synthesis of the 2022 250-page United Nations Report on groundwater (https://unesdoc.unesco.org/ark:/48223/pf0000380721), which accounts for 99% of liquid fresh water on Earth and is the source of one-quarter of all the water used by humans. Many of the world’s largest cities, and numerous smaller cities and towns, rely on groundwater. The report presents an overview of the regional presence and use of, and demand for, groundwater. It relies on a synthesis of 700 bibliographic…
Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran
Authors: Zahra Ghorbani, Ali Khosravi, Yasser Maghsoudi, Farid Fazel Mojtahedi, Eslam Javadnia, Ali Nazari
Journal: Scientific Reports · DOI: 10.1038/s41598-022-17438-y · Citations: 65
Matched topics: hydrology, climate change
in northwestern Iran, has experienced land subsidence due to intensive groundwater withdrawal and long seasons of drought in recent years. Different techniques have been used to investigate and evaluate subsidence in this region including: Global Positioning Systems (GPS), Levelling, and Geotechnical methods. These methods are typically expensive, time-consuming, and identify only a small fraction of the areas prone to subsidence. This study employs an Interferometric Synthetic Aperture Radar…
How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?
Authors: Luca Zappa, Stefan Schlaffer, Luca Brocca, Mariëtte Vreugdenhil, Claas Nendel, Wouter Dorigo
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2022.102979 · Citations: 59
Matched topics: irrigation
While ensuring food security worldwide, irrigation is altering the water cycle and generating numerous environmental side effects. As detailed knowledge about the timing and the amounts of water used for irrigation over large areas is still lacking, remotely sensed soil moisture has proved potential to fill this gap. However, the spatial resolution and revisit time of current satellite products represent a major limitation to accurately estimating irrigation. This work aims to systematically …
From participatory process to robust decision-making: An Agriculture-water-energy nexus analysis for the Souss-Massa basin in Morocco
Authors: Youssef Almulla, Camilo Ramírez, Brian Joyce, Annette Huber‐Lee, Francesco Fuso Nerini
Journal: Energy Sustainable Development/Energy for sustainable development · DOI: 10.1016/j.esd.2022.08.009 · Citations: 57
Matched topics: water management
The Water-Energy-Food (WEF) framework is widely used to address sustainability and resource management questions. However, many WEF methods miss engaging with stakeholders in the process. In this study, we introduce a stakeholder-driven and model-supported robust nexus decision-making framework. This methodology is exemplified by a case study in the Souss-Massa basin (SMB) which has significant importance for the agricultural sector in Morocco. However, the water scarcity exacerbated by clima…
Evolution of agricultural development and land-water-food nexus in Central Asia
Authors: Shumin Han, Ping Xin, Huilong Li, Yonghui Yang
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2022.107874 · Citations: 29
Matched topics: surface water
Abstract not available.
Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis
Authors: Qian Li, Yan Chen, Shikun Sun, Muyuan Zhu, Jing Xue, Zihan Gao et al.
Journal: Water Resources Management · DOI: 10.1007/s11269-022-03278-y · Citations: 29
Matched topics: irrigation
Abstract not available.
Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling
Authors: Hemendra Kumar, Puneet Srivastava, Jasmeet Lamba, Efstathios Diamantopoulos, Brenda V. Ortiz, Guilherme Morata et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2022.107877 · Citations: 26
Matched topics: water management, irrigation
Abstract not available.
Classification analysis of blue and green water quantities for a large-scale watershed of southwest China
Authors: Yutong Li, Yanpeng Cai, Xuan Wang, Chunhui Li, Qiang Liu, Lian Sun et al.
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2022.115894 · Citations: 18
Matched topics: hydrologic model, streamflow
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses advances in understanding hydrological processes through field observations, modeling, and remote sensing. Wei et al. review forest harvesting impacts on hydrology in boreal forests under increasing cumulative disturbance, highlighting compound effects that differ from single-event responses. Snow hydrology features prominently: Bennett et al. characterize spatial patterns of snow distribution in the sub-Arctic using extensive field data, Bouchard et al. compare snowpack structure in forest gaps versus under canopy, and Lund et al. interpret Sentinel-1 SAR backscatter signals to track snowpack melt/freeze dynamics. Bhardwaj et al. evaluate satellite soil moisture datasets for drought monitoring in Australia and the South-West Pacific. Omari Mangi et al. assess hydrological responses to land use change on the slopes of Kilimanjaro and Meru. Pignalosa et al. simulate long-term effects of nature-based solutions on runoff in central Italy. Sam and Khôi analyze Mekong River discharge and sediment load responses to historical land-use change, while Xiao et al. disentangle the roles of dams and climate change in altering the thermal regime of the Yangtze River. Liu et al. quantify uncertainty in rainfall-runoff simulations using copula-based Bayesian methods, and Mohamed et al. evaluate terrestrial water storage variability in Senegal using GRACE gravity data.
Forest harvesting and hydrology in boreal Forests: Under an increased and cumulative disturbance context
Authors: Xiaohua Wei, Krysta Giles‐Hansen, Sheena A. Spencer, Xiaowen Ge, А. А. Онучин, Qiang Li et al.
Journal: Forest Ecology and Management · DOI: 10.1016/j.foreco.2022.120468 · Citations: 41
Matched topics: hydrology, streamflow
Boreal forests cover about one-third of the global forested area and are under rapid alteration due to increased natural and human-induced forest disturbance, which have important impacts on forest carbon cycling, hydrology, biodiversity, and many other ecological characteristics, processes, and functions. In this review, we focus on how forest harvesting affects hydrological processes in boreal forests within the context of increased and cumulative forest disturbance across various spatial s…
Spatial patterns of snow distribution in the sub-Arctic
Authors: Katrina E. Bennett, Greta Miller, Robert Busey, Min Chen, Emma Lathrop, Julian Dann et al.
Journal: The cryosphere · DOI: 10.5194/tc-16-3269-2022 · Citations: 31
Matched topics: hydrology, earth system model
Abstract. The spatial distribution of snow plays a vital role in sub-Arctic and Arctic climate, hydrology, and ecology due to its fundamental influence on the water balance, thermal regimes, vegetation, and carbon flux. However, the spatial distribution of snow is not well understood, and therefore, it is not well modeled, which can lead to substantial uncertainties in snow cover representations. To capture key hydro-ecological controls on snow spatial distribution, we carried out intensive f…
Comparison of snowpack structure in gaps and under the canopy in a humid boreal forest
Authors: Benjamin Bouchard, Daniel F. Nadeau, Florent Dominé
Journal: Hydrological Processes · DOI: 10.1002/hyp.14681 · Citations: 31
Matched topics: hydrology, hydrologic model
Abstract The boreal forest covers a significant portion of the Northern Hemisphere and is snow‐covered for over half of the year. Understanding the interactions between the forest canopy and snow is essential in hydrological, meteorological, and climate modelling. However, this is challenging because the density of a forest can range from closed canopies to open gaps. In winter 2018–2019, we assessed differences in snowpack microstructure in small forest gaps and under the canopy of a humid b…
Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel
Authors: Jewell Lund, R. R. Forster, E. J. Deeb, Glen E. Liston, S. McKenzie Skiles, Hans‐Peter Marshall
Journal: Remote Sensing · DOI: 10.3390/rs14164002 · Citations: 26
Matched topics: hydrology, runoff, streamflow
The transition of a cold winter snowpack to one that is ripe and contributing to runoff is crucial to gauge for water resource management, but is highly variable in space and time. Snow surface melt/freeze cycles, associated with diurnal fluctuations in radiative inputs, are hallmarks of this transition. C-band synthetic aperture radar (SAR) reliably detects meltwater in the snowpack. Sentinel-1 (S1) C-band SAR offers consistent acquisition patterns that allow for diurnal investigations of me…
Evaluating Satellite Soil Moisture Datasets for Drought Monitoring in Australia and the South-West Pacific
Authors: Jessica Bhardwaj, Yuriy Kuleshov, Zhi‐Weng Chua, Andrew Watkins, Suelynn Choy, Qian Sun
Journal: Remote Sensing · DOI: 10.3390/rs14163971 · Citations: 19
Matched topics: hydrologic model, drought, land surface model
Soil moisture (SM) is critical in monitoring the time-lagged impacts of agrometeorological drought. In Australia and several south-west Pacific Small Island Developing States (SIDS), there are a limited number of in situ SM stations that can adequately assess soil-water availability in a near-real-time context. Satellite SM datasets provide a viable alternative for SM monitoring and agrometeorological drought provision in these regions. In this study, we investigated the performance of Soil M…
Hydrological response to land use and land cover change on the slopes of Kilimanjaro and Meru Mountains
Authors: Halima Omari Mangi, S. M. Onywere, Ester C. Kitur, Makarius C.S. Lalika, Nyemo A. Chilagane
Journal: Ecohydrology & Hydrobiology · DOI: 10.1016/j.ecohyd.2022.08.002 · Citations: 19
Matched topics: hydrology, hydrologic model, runoff, land surface model
Abstract not available.
Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy)
Authors: Antonio Pignalosa, Nicola Silvestri, Francesco Pugliese, Alfonso Corniello, Carlo Gerundo, N. Del Seppia et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2022.107870 · Citations: 22
Matched topics: hydrology, runoff
Abstract not available.
The responses of river discharge and sediment load to historical land-use/land-cover change in the Mekong River Basin
Authors: Truong Thao Sam, Đào Nguyên Khôi
Journal: Environmental Monitoring and Assessment · DOI: 10.1007/s10661-022-10400-5 · Citations: 27
Matched topics: river, water management
Abstract not available.
Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient
Authors: Zhangjun Liu, Jingwen Zhang, Tianfu Wen, Jingqing Cheng
Journal: Water Resources Management · DOI: 10.1007/s11269-022-03287-x · Citations: 13
Matched topics: runoff, seasonal
Abstract not available.
Roles of dam and climate change in thermal regime alteration of a large river
Authors: Zijun Xiao, Jian Sun, Bing Yuan, Binliang Lin, Xiaofeng Zhang
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ac899f · Citations: 13
Matched topics: river, climate change
Abstract Water temperature in the Yangtze River mainstream has been experiencing significant changes due to the climate change and the operation of a series of world-class large dams, i.e. the Three Gorges Dam (TGD) and upstream cascade dams (CDs). However, quantitative effects of these factors are not fully known, which hinders our understanding on the thermal regime alterations and further prediction in ecosystem response. Here, we will simulate the riverine water temperature (RWT) variatio…
Hydro-Geophysical Evaluation of the Regional Variability of Senegal’s Terrestrial Water Storage Using Time-Variable Gravity Data
Authors: Ahmed Mohamed, Cheikh Faye, Abdullah Othman, Ahmed Abdelrady
Journal: Remote Sensing · DOI: 10.3390/rs14164059 · Citations: 24
Matched topics: hydrology, hydrologic model, land surface model
The Gravity Recovery and Climate Experiment (GRACE) satellite data retrieval experiment has been instrumental in characterizing the global fluctuations in terrestrial water storage (ΔTWS) over the past 20 years. Given the limited availability of hydrological data, GRACE measurements are frequently combined with other climatic models, standardized precipitation index (SPI), and standardized temperature index (STI) data to examine the likelihood of such impacts on hydrology and calculate the gr…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 807 |
| After deduplication | 573 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 523 |
Papers by journal
| Journal | Papers |
|---|---|
| Remote Sensing | 4 |
| Water Resources Management | 4 |
| Agricultural Water Management | 3 |
| Nature Communications | 2 |
| Science China Earth Sciences | 2 |
| Renewable Energy | 2 |
| Journal of Hydrology | 2 |
| Expert Systems with Applications | 2 |
| Nature Climate Change | 1 |
| Sustainable Cities and Society | 1 |
| Geomatics, Natural Hazards & Risk | 1 |
| The Science of The Total Environment | 1 |
| Wiley Interdisciplinary Reviews Water | 1 |
| LHB | 1 |
| Artificial Intelligence for the Earth Systems | 1 |
| Engineering Applications of Computational Fluid Mechanics | 1 |
| Scientific Reports | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Energy Sustainable Development/Energy for sustainable development | 1 |
| Ain Shams Engineering Journal | 1 |
| Applied Energy | 1 |
| Global Change Biology | 1 |
| Acta Geophysica | 1 |
| Forest Ecology and Management | 1 |
| Geophysical Research Letters | 1 |
| Mathematics | 1 |
| Hydrology and earth system sciences | 1 |
| The cryosphere | 1 |
| Hydrological Processes | 1 |
| IEEE Transactions on Artificial Intelligence | 1 |
| Environmental Monitoring and Assessment | 1 |
| npj Climate and Atmospheric Science | 1 |
| Weather and Climate Extremes | 1 |
| Ecohydrology & Hydrobiology | 1 |
| Journal of Environmental Management | 1 |
| Water Resources Research | 1 |
| Environmental Research Letters | 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