Weekly Literature Review
Week 6 · February 6–February 12, 2023
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines Extensive global wetland loss over the past three centuries, with 796 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 unprecedented Pacific Northwest heatwave of June 2021
- Mangrove reforestation provides greater blue carbon benefit than afforestation for mitigating global climate change
- Global patterns of water storage in the rooting zones of vegetation
- Impact of climate mitigation technology and natural resource management on climate change in China
- Wettability of different clay mineral surfaces in shale: Implications from molecular dynamics simulations
- Variation of lightning-ignited wildfire patterns under climate change
- Assessing and optimizing the hydrological performance of Grey-Green infrastructure systems in response to climate change and non-stationary time series
- Effects of shade and deficit irrigation on maize growth and development in fixed and dynamic AgriVoltaic systems
- SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics
- The Role of Financial Development in Climate Change Mitigation: Fresh Policy Insights from South Africa
- Severe multi-year drought coincident with Hittite collapse around 1198–1196 bc
- Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: A meta-analysis
- A climate-water quality assessment framework for quantifying the contributions of climate change and human activities to water quality variations
- Upscaling climate change adaptation in small- and medium-sized municipalities: current barriers and future potentials
- Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia
- Drought characteristics and causes during summer maize growth period on Huang-Huai-Hai Plain based on daily scale SPEI
- Afforesting arid land with renewable electricity and desalination to mitigate climate change
- Flood Risk Assessment and Extreme Precipitation
- Glacial lake outburst floods threaten millions globally
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis
- Polymer flooding: Current status and future directions
- Impacts of climate warming on global floods and their implication to current flood defense standards
- Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model
- The intensification of short-duration rainfall extremes due to climate change – Need for a frequent update of intensity–duration–frequency curves
- Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination
- Machine Learning and AI for Hydrological Prediction
- Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production
- Soil water erosion susceptibility assessment using deep learning algorithms
- Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images
- Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
- Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
- Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China
- A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions
- Oil Logging Reservoir Recognition Based on TCN and SA-BiLSTM Deep Learning Method
- Development of a Soil Moisture Prediction Model Based on Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) in Soybean Cultivation
- Evolutionary and ensemble machine learning predictive models for evaluation of water quality
- Quantitative characterization of shale gas reservoir properties based on BiLSTM with attention mechanism
- Hydropower and Renewable Energy-Water Systems
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Extensive global wetland loss over the past three centuries
- People need freshwater biodiversity
- Global analysis of the correlation and propagation among meteorological, agricultural, surface water, and groundwater droughts
- More frequent atmospheric rivers slow the seasonal recovery of Arctic sea ice
- Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets
- Potential reservoirs of antimicrobial resistance in livestock waste and treated wastewater that can be disseminated to agricultural land
- Optimal designs of LID based on LID experiments and SWMM for a small-scale community in Tianjin, north China
- Environmental fate of microplastics in an urban river: Spatial distribution and seasonal variation
- Land use/land cover change and its implication on soil erosion in an ecologically sensitive Himachal Himalayan watershed, Northern India
- GIS – based flood susceptibility mapping using frequency ratio and information value models in upper Abay river basin, Ethiopia
- Mechanistic Understanding of Leakage and Consequences and Recent Technological Advances in Improving Nitrogen Use Efficiency in Cereals
- Inter-basin water diversion homogenizes microbial communities mainly through stochastic assembly processes
- Analysis of Spatiotemporal Variation and Influencing Factors of Land-Use Carbon Emissions in Nine Provinces of the Yellow River Basin Based on the LMDI Model
- Hydrological responses to co-impacts of climate change and land use/cover change based on CMIP6 in the Ganjiang River, Poyang Lake basin
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 17 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.
The unprecedented Pacific Northwest heatwave of June 2021
Authors: Rachel H. White, Sam Anderson, James F. Booth, Ginni Braich, Christina Draeger, Cuiyi Fei et al.
Journal: Nature Communications · DOI: 10.1038/s41467-023-36289-3 · Citations: 374
Matched topics: hydrology, hydrologic model, streamflow, land surface model, earth system model
In late June 2021 a heatwave of unprecedented magnitude impacted the Pacific Northwest region of Canada and the United States. Many locations broke all-time maximum temperature records by more than 5 °C, and the Canadian national temperature record was broken by 4.6 °C, with a new record temperature of 49.6 °C. Here, we provide a comprehensive summary of this event and its impacts. Upstream diabatic heating played a key role in the magnitude of this anomaly. Weather forecasts provided advance…
Mangrove reforestation provides greater blue carbon benefit than afforestation for mitigating global climate change
Authors: Shanshan Song, Yali Ding, Wei Li, Yuchen Meng, Jian Zhou, Ruikun Gou et al.
Journal: Nature Communications · DOI: 10.1038/s41467-023-36477-1 · Citations: 209
Matched topics: hydrologic model, climate change
-eq globally over a 40-year period, 60% more than afforesting the same global area on tidal flats (more marginal sites). Along with avoiding conflicts of habitat conversion, mangrove reforestation should be given priority when designing nature-based solutions for mitigating global climate change.
Global patterns of water storage in the rooting zones of vegetation
Authors: Benjamin D. Stocker, Shersingh Joseph Tumber‐Dávila, Alexandra G. Konings, Martha C. Anderson, Christopher Hain, Robert B. Jackson
Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01125-2 · Citations: 177
Matched topics: hydrology, hydrologic model, streamflow, land surface model, surface water
The rooting-zone water-storage capacity-the amount of water accessible to plants-controls the sensitivity of land-atmosphere exchange of water and carbon during dry periods. How the rooting-zone water-storage capacity varies spatially is largely unknown and not directly observable. Here we estimate rooting-zone water-storage capacity globally from the relationship between remotely sensed vegetation activity, measured by combining evapotranspiration, sun-induced fluorescence and radiation esti…
Impact of climate mitigation technology and natural resource management on climate change in China
Authors: Fengsheng Chien, Ka Yin Chau, Muhammad Sadiq
Journal: Resources Policy · DOI: 10.1016/j.resourpol.2023.103367 · Citations: 109
Matched topics: climate change
Abstract not available.
Wettability of different clay mineral surfaces in shale: Implications from molecular dynamics simulations
Authors: Kanyuan Shi, Junqing Chen, Xiongqi Pang, Fujie Jiang, Shasha Hui, Zhen-Cheng Zhao et al.
Journal: Petroleum Science · DOI: 10.1016/j.petsci.2023.02.001 · Citations: 108
Matched topics: surface water
Shale contains a lot of clay minerals. Clay minerals mainly exist in nano- and micro-meter sized particles, and the pore structure is complex, which leads to its extremely complex wettability. The surface wettability of clay minerals significantly affects the oil and gas-bearing capacity of shale reservoirs. Therefore, studying the wettability of common clay minerals in shale at the nanoscale is of great significance for shale hydrocarbon exploration and development. In this study, the wettin…
Variation of lightning-ignited wildfire patterns under climate change
Authors: Francisco J. Pérez‐Invernón, Francisco J. Gordillo‐Vázquez, Heidi Huntrieser, Patrick Jöckel
Journal: Nature Communications · DOI: 10.1038/s41467-023-36500-5 · Citations: 95
Matched topics: streamflow, climate change, earth system model
Lightning is the main precursor of natural wildfires and Long-Continuing-Current (LCC) lightning flashes are proposed to be the main igniters of lightning-ignited wildfires (LIW). Previous studies predict a change of the global occurrence rate and spatial pattern of total lightning. Nevertheless, the sensitivity of lightning-ignited wildfire occurrence to climate change is uncertain. Here, we investigate space-based measurements of LCC lightning associated with lightning ignitions and present…
Assessing and optimizing the hydrological performance of Grey-Green infrastructure systems in response to climate change and non-stationary time series
Authors: Mo Wang, Ming Liu, Dongqing Zhang, Jinda Qi, Weicong Fu, Yu Zhang et al.
Journal: Water Research · DOI: 10.1016/j.watres.2023.119720 · Citations: 102
Matched topics: climate change
Abstract not available.
Effects of shade and deficit irrigation on maize growth and development in fixed and dynamic AgriVoltaic systems
Authors: Isaac A. Ramos-Fuentes, Yassin Elamri, Bruno Cheviron, Cyril Déjean, Gilles Belaud, Damien Fumey
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2023.108187 · Citations: 93
Matched topics: irrigation
Maize production is essential for global food security and represents a major supply in several value chains. However, the projected effects of climate change are likely to decrease drastically water availability for crops in many regions, affecting yield. AgriVoltaics (AV) systems are an innovative solution that may improve maize resilience in water-scarce regions mainly by protecting plants from excessive radiation and by reducing irrigation needs. However, shade from panels may also affect…
SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics
Authors: Daniel Caviedes‐Voullième, M. Morales-Hernández, M. Norman, Ilhan Özgen‐Xian
Journal: Geoscientific Model Development · DOI: 10.5194/gmd-16-977-2023 · Citations: 59
Matched topics: hydrology, hydrologic model, runoff, earth system model
Abstract. The Simulation EnviRonment for Geomorphology, Hydrodynamics, and Ecohydrology in Integrated form (SERGHEI) is a multi-dimensional, multi-domain, and multi-physics model framework for environmental and landscape simulation, designed with an outlook towards Earth system modelling. At the core of SERGHEI’s innovation is its performance-portable high-performance parallel-computing (HPC) implementation, built from scratch on the Kokkos portability layer, allowing SERGHEI to be deployed, …
The Role of Financial Development in Climate Change Mitigation: Fresh Policy Insights from South Africa
Authors: Maxwell Chukwudi Udeagha, Marthinus Christoffel Breitenbach
Journal: Biophysical Economics and Sustainability · DOI: 10.1007/s41247-023-00110-y · Citations: 73
Matched topics: climate change
Abstract not available.
Severe multi-year drought coincident with Hittite collapse around 1198–1196 bc
Authors: Sturt W. Manning, Cindy Kocik, Brita Lorentzen, Jed P. Sparks
Journal: Nature · DOI: 10.1038/s41586-022-05693-y · Citations: 72
Matched topics: drought
, with an empire centred in a semi-arid region in Anatolia with political and socioeconomic interconnections throughout the ancient Near East and Eastern Mediterranean, which for a long time proved resilient despite facing regular and intersecting sociopolitical, economic and environmental challenges. Examination of ring width and stable isotope records obtained from contemporary juniper trees in central Anatolia provides a high-resolution dryness record. This analysis identifies an unusually…
Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: A meta-analysis
Authors: Mario A. Secchi, Javier A. Fernández, Michael Stamm, Timothy P. Durrett, P. V. Vara Prasad, Carlos D. Messina et al.
Journal: Field Crops Research · DOI: 10.1016/j.fcr.2023.108848 · Citations: 69
Matched topics: drought
Abstract not available.
A climate-water quality assessment framework for quantifying the contributions of climate change and human activities to water quality variations
Authors: Yuan Wang, Qiang Liu, Shuai Song, Yonglong Lü, Shengjie Yang, Zili Fang et al.
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.117441 · Citations: 54
Matched topics: water management, climate change
Abstract not available.
Upscaling climate change adaptation in small- and medium-sized municipalities: current barriers and future potentials
Authors: Hartmut Fünfgeld, Dennis Fila, Heindriken Dahlmann
Journal: Current Opinion in Environmental Sustainability · DOI: 10.1016/j.cosust.2023.101263 · Citations: 55
Matched topics: climate change
Abstract not available.
Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia
Authors: Nuaman Ejaz, Jarbou Bahrawi, Khalid Mohammed Alghamdi, Khalil Ur Rahman, Songhao Shang
Journal: Remote Sensing · DOI: 10.3390/rs15040984 · Citations: 54
Matched topics: drought
Precise assessment of drought and its impact on the natural ecosystem is an arduous task in regions with limited climatic observations due to sparsely distributed in situ stations, especially in the hyper-arid region of Kingdom of Saudi Arabia (KSA). Therefore, this study investigates the application of remote sensing techniques to monitor drought and compare the remote sensing-retrieved drought indices (RSDIs) with the standardized meteorological drought index (Standardized Precipitation Eva…
Drought characteristics and causes during summer maize growth period on Huang-Huai-Hai Plain based on daily scale SPEI
Authors: Minhua Ling, Hongbao Han, Xiaoyue Hu, Qinyuan Xia, Xiaomin Guo
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2023.108198 · Citations: 51
Matched topics: drought
Huang-Huai-Hai Plain is an important area for summer maize production in China. The study of drought characteristics during summer maize growing period is of guiding significance for preventing drought and flooding and ensuring grain production. Based on daily meteorological data from 1960 to 2020 on Huang-Huai-Hai Plain, daily drought indicators were used to quantitatively identify drought conditions during summer maize growing period, analyze spatial and temporal evolution characteristics o…
Afforesting arid land with renewable electricity and desalination to mitigate climate change
Authors: Upeksha Caldera, Christian Breyer
Journal: Nature Sustainability · DOI: 10.1038/s41893-022-01056-7 · Citations: 51
Matched topics: climate change
Abstract Afforestation is one of the most practised carbon dioxide removal methods but is constrained by the availability of suitable land and sufficient water resources. In this research, existing concepts of low-cost renewable electricity (RE) and seawater desalination are built upon to identify the global CO 2 sequestration potential if RE-powered desalination plants were used to irrigate forests on arid land over the period 2030–2100. Results indicate a cumulative CO 2 sequestration poten…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 7 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.
Glacial lake outburst floods threaten millions globally
Authors: Caroline Taylor, Tom Robinson, Stuart Dunning, J. Rachel Carr, Matthew Westoby
Journal: Nature Communications · DOI: 10.1038/s41467-023-36033-x · Citations: 269
Matched topics: flood, earth system model
Glacial lake outburst floods (GLOFs) represent a major hazard and can result in significant loss of life. Globally, since 1990, the number and size of glacial lakes has grown rapidly along with downstream population, while socio-economic vulnerability has decreased. Nevertheless, contemporary exposure and vulnerability to GLOFs at the global scale has never been quantified. Here we show that 15 million people globally are exposed to impacts from potential GLOFs. Populations in High Mountains …
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis
Authors: Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas‐Alvarez, James Daniell et al.
Journal: Natural hazards and earth system sciences · DOI: 10.5194/nhess-23-525-2023 · Citations: 157
Matched topics: streamflow, water management, flood
Abstract. The July 2021 flood in central Europe was one of the five costliest disasters in Europe in the last half century, with an estimated total damage of EUR 32 billion. The aim of this study is to analyze and assess the flood within an interdisciplinary approach along its entire process chain: the synoptic setting of the atmospheric pressure fields, the processes causing the high rainfall totals, the extraordinary streamflows and water levels in the affected catchments, the hydro-morphol…
Polymer flooding: Current status and future directions
Authors: R. S. Seright, Dongmei Wang
Journal: Petroleum Science · DOI: 10.1016/j.petsci.2023.02.002 · Citations: 153
Matched topics: flood
This review presents our perspective on the factors that have brought polymer flooding to its current state. Insights are provided on why HPAM is the dominant polymer used as well as what is needed to make alternative polymers and mobility-control methods viable. Explanation is given for why large polymer banks are needed for polymer flooding, and design of the injected polymer viscosity is detailed for cases with/without crossflow. The role of fractures and horizontal wells are discussed for…
Impacts of climate warming on global floods and their implication to current flood defense standards
Authors: Jie Chen, Xinyan Shi, Lei Gu, Guiyang Wu, Tianhua Su, Huimin Wang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129236 · Citations: 82
Matched topics: hydrologic model, flood
Abstract not available.
Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model
Authors: Kui Xu, Zhentao Han, Hongshi Xu, Lingling Bin
Journal: International Journal of Disaster Risk Science · DOI: 10.1007/s13753-023-00465-2 · Citations: 65
Matched topics: hydrology, hydrologic model, water management, flood
Abstract Global climate change and sea level rise have led to increased losses from flooding. Accurate prediction of floods is essential to mitigating flood losses in coastal cities. Physically based models cannot satisfy the demand for real-time prediction for urban flooding due to their computational complexity. In this study, we proposed a hybrid modeling approach for rapid prediction of urban floods, coupling the physically based model with the light gradient boosting machine (LightGBM) m…
The intensification of short-duration rainfall extremes due to climate change – Need for a frequent update of intensity–duration–frequency curves
Authors: Ottar Tamm, Egle Saaremäe, Kristiina Rahkema, Jaak Jaagus, Toomas Tamm
Journal: Climate Services · DOI: 10.1016/j.cliser.2023.100349 · Citations: 74
Matched topics: water management, climate change
Numerous studies have investigated future changes in extreme precipitation by employing climate models. However, trends in extreme short-duration (20–180 min) rainfall intensities, that is, design storm rainfall intensities used for stormwater infrastructure design, have received considerably less attention despite their importance. This study quantified the effect of climate change on design storm intensity based on observations. Trends were investigated for diverse short-term rainfall durat…
Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination
Authors: Hamid Reza Pourghasemi, Soheila Pouyan, Mojgan Bordbar, Foroogh Golkar, John J. Clague
Journal: Natural Hazards · DOI: 10.1007/s11069-023-05836-y · Citations: 60
Matched topics: flood
Abstract not available.
Machine Learning and AI for Hydrological Prediction
This week’s 11 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production
Authors: Awais Ali, Tajamul Hussain, Noramon Tantashutikun, Nurda Hussain, Giacomo Cocetta
Journal: Agriculture · DOI: 10.3390/agriculture13020397 · Citations: 161
Matched topics: water management, irrigation
Technological advancements have led to an increased use of the internet of things (IoT) to enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural production systems, particularly under the current scenario of climate change. Increasing world population, climate variations, and propelling demand for the food are the hot discussions these days. Keeping in view the importance of the abovementioned issues, this manuscript summarizes the modern approaches of IoT …
Soil water erosion susceptibility assessment using deep learning algorithms
Authors: Khabat Khosravi, Fatemeh Rezaie, James R. Cooper, Zahra Kalantari, Soroush Abolfathi, Javad Hatamiafkoueieh
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129229 · Citations: 146
Matched topics: hydrology, hydrologic model, earth system model
Accurate assessment of soil water erosion (SWE) susceptibility is critical for reducing land degradation and soil loss, and for mitigating the negative impacts of erosion on ecosystem services, water quality, flooding and infrastructure. Deep learning algorithms have been gaining attention in geoscience due to their high performance and flexibility. However, an understanding of the potential for these algorithms to provide fast, cheap, and accurate predictions of soil erosion susceptibility i…
Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images
Authors: Abhilash Singh, Kumar Gaurav
Journal: Scientific Reports · DOI: 10.1038/s41598-023-28939-9 · Citations: 150
Matched topics: hydrologic model
We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture from satellite images on a large alluvial fan of the Kosi River in the Himalayan Foreland. We have extracted nine different features from Sentinel-1 (dual-polarised radar backscatter), Sentinel-2 (red and near-infrared bands), and Shuttle Radar Topographic Mission (digital elevation model) satellite products by leveraging the linear data fusion and grap…
Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
Authors: Jannatul Ferdous Ruma, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan, Rashedur M. Rahman
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2023.100951 · Citations: 87
Matched topics: hydrologic model, river
Floods are one of the most catastrophic natural disasters. Water level forecasting is an essential method of avoiding floods and disaster preparedness. In recent years, models for predicting water levels have been developed using artificial intelligence techniques like the artificial neural network (ANN). It has been demonstrated that more advanced and sequenced-based deep learning techniques, like long short-term memory (LSTM) networks, are superior at forecasting hydrological data. However,…
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model
Authors: Fa-sheng Miao, Fancheng Zhao, Yiping Wu, Lin-wei Li, Á. Török
Journal: Stochastic environmental research and risk assessment (Print) · DOI: 10.1007/s00477-023-02394-4 · Citations: 85
Matched topics: reservoir
As one of the most destructive geological disasters, a myriad of landslides has revived and developed in the Three Gorges Reservoir area under the combined action of various detrimental factors. Therefore, the pertinently regional landslide susceptibility mapping (LSM) is of great significance for disaster prevention and mitigation. In this study, LSM is prepared by using a boosting-C5.0 decision tree model. Under the landslide verification of on-site investigations, the study area is divided…
Lithology identification using graph neural network in continental shale oil reservoirs: A case study in Mahu Sag, Junggar Basin, Western China
Authors: Guoqing Lu, Lianbo Zeng, Shaoqun Dong, Liliang Huang, Guoping Liu, Mehdi Ostadhassan et al.
Journal: Marine and Petroleum Geology · DOI: 10.1016/j.marpetgeo.2023.106168 · Citations: 60
Matched topics: reservoir
Abstract not available.
A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions
Authors: Ningpeng Dong, Wenhai Guan, Jixue Cao, Yibo Zou, Mingxiang Yang, Jianhui Wei et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129246 · Citations: 46
Matched topics: hydrologic model, streamflow, reservoir
Abstract not available.
Oil Logging Reservoir Recognition Based on TCN and SA-BiLSTM Deep Learning Method
Authors: Wenbiao Yang, Kewen Xia, Shurui Fan
Journal: Engineering Applications of Artificial Intelligence · DOI: 10.1016/j.engappai.2023.105950 · Citations: 53
Matched topics: reservoir
Abstract not available.
Development of a Soil Moisture Prediction Model Based on Recurrent Neural Network Long Short-Term Memory (RNN-LSTM) in Soybean Cultivation
Authors: Soo-Hwan Park, Bo‐Young Lee, Min-Jee Kim, Wan-Gyu Sang, Myung Chul Seo, Jae‐Kyeong Baek et al.
Journal: Sensors · DOI: 10.3390/s23041976 · Citations: 52
Matched topics: hydrology
of 0.956, a loss of 0.057, and a validation loss of 2.883, respectively. The RNN-LSTM model was used to confirm the SM predictability in soybean arable land and could be applied to supply the appropriate moisture needed for crop growth. The results of this study show that a soil moisture prediction model based on time-series weather data can help determine the appropriate amount of irrigation required for crop cultivation.
Evolutionary and ensemble machine learning predictive models for evaluation of water quality
Authors: Ali Aldrees, Muhammad Faisal Javed, Abubakr Taha Bakheit Taha, Abdeliazim Mustafa Mohamed, Michał Jasiński, Miroslava Goňo
Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2023.101331 · Citations: 50
Matched topics: streamflow
Bisham Qilla and Doyian stations, Indus River Basin of Pakistan Water pollution is an international concern that impedes human health, ecological sustainability, and agricultural output. This study focuses on the distinguishing characteristics of an evolutionary and ensemble machine learning (ML) based modeling to provide an in-depth insight of escalating water quality problems. The 360 temporal readings of electric conductivity (EC) and total dissolved solids (TDS) with several input variabl…
Quantitative characterization of shale gas reservoir properties based on BiLSTM with attention mechanism
Authors: Xingye Liu, Huailai Zhou, Kangkang Guo, Chao Li, Shaohuan Zu, Lihui Wu
Journal: Geoscience Frontiers · DOI: 10.1016/j.gsf.2023.101567 · Citations: 50
Matched topics: reservoir
Evaluating the potential of shale gas reservoirs is inseparable from reservoir properties prediction. Accurate characterization of total organic carbon, porosity and permeability is necessary to understand shale gas reservoirs. Seismic data can help to estimate these parameters in the area crossing-wells. We develop an improved deep learning method to achieve shale gas reservoir properties estimation. The relationship between elastic attributes and reservoir properties is built up by training…
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.
The importance of flexible hydropower in providing electricity stability during China’s coal phase-out
Authors: Ziwen Zhao, Xinjun Ding, Paul Behrens, Jianling Li, Mengjiao He, Yuanqiang Gao et al.
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2023.120684 · Citations: 53
Matched topics: hydrologic model, hydropower
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 14 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.
Extensive global wetland loss over the past three centuries
Authors: Etienne Fluet‐Chouinard, Benjamin D. Stocker, Zhen Zhang, Avni Malhotra, Joe R. Melton, Benjamin Poulter et al.
Journal: Nature · DOI: 10.1038/s41586-022-05572-6 · Citations: 796
Matched topics: hydrology, hydrologic model, land surface model, earth system model
Abstract not available.
People need freshwater biodiversity
Authors: Abigail J. Lynch, Steven J. Cooke, Angela H. Arthington, Claudio Baigún, Lisa Bossenbroek, Chris Dickens et al.
Journal: Wiley Interdisciplinary Reviews Water · DOI: 10.1002/wat2.1633 · Citations: 195
Matched topics: hydrology, hydropower
Abstract Freshwater biodiversity, from fish to frogs and microbes to macrophytes, provides a vast array of services to people. Mounting concerns focus on the accelerating pace of biodiversity loss and declining ecological function within freshwater ecosystems that continue to threaten these natural benefits. Here, we catalog nine fundamental ecosystem services that the biotic components of indigenous freshwater biodiversity provide to people, organized into three categories: material (food; h…
Global analysis of the correlation and propagation among meteorological, agricultural, surface water, and groundwater droughts
Authors: Ying Liu, Fuzhen Shan, Yue Hui, Xu Wang, Yahui Fan
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.117460 · Citations: 155
Matched topics: runoff, drought, surface water
Groundwater drought monitoring relies on ground observation data, which cannot be used to reflect large-scale droughts in groundwater resources. The Gravity Recovery and Climate Experiment Satellite (GRACE) improved the situation and provided a new solution for groundwater drought research. However, the propagation relationship among global different drought types has not been fully explored. We employed CRU precipitation data, MERR2 reanalysis soil moisture data, GLDAS and GRACE data to calc…
More frequent atmospheric rivers slow the seasonal recovery of Arctic sea ice
Authors: Pengfei Zhang, Gang Chen, Mingfang Ting, L. Ruby Leung, Bin Guan, Laifang Li
Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01599-3 · Citations: 111
Matched topics: hydrology, river, seasonal, earth system model
Abstract not available.
Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets
Authors: Timbo Stillinger, Karl Rittger, Mark S. Raleigh, Alex Michell, Robert E. Davis, Edward H. Bair
Journal: The cryosphere · DOI: 10.5194/tc-17-567-2023 · Citations: 73
Matched topics: hydrology, hydrologic model, streamflow, land surface model
Abstract. Snow cover mapping algorithms utilizing multispectral satellite data at various spatial resolutions are available, each treating subpixel variation differently. Past evaluations of snow mapping accuracy typically relied on satellite data collected at a higher spatial resolution than the data in question. However, these optical data cannot characterize snow cover mapping performance under forest canopies or at the meter scale. Here, we use 3 m spatial resolution snow depth maps colle…
Potential reservoirs of antimicrobial resistance in livestock waste and treated wastewater that can be disseminated to agricultural land
Authors: A. Mark Ibekwe, Ananda S. Bhattacharjee, Duc Phan, Daniel Ashworth, Michael P. Schmidt, Shelton E. Murinda et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.162194 · Citations: 80
Matched topics: reservoir
Abstract not available.
Optimal designs of LID based on LID experiments and SWMM for a small-scale community in Tianjin, north China
Authors: Boyuan Yang, Ting Zhang, Jianzhu Li, Ping Feng, Yuanjingjing Miao
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.117442 · Citations: 68
Matched topics: hydrologic model, runoff, water management
Abstract not available.
Environmental fate of microplastics in an urban river: Spatial distribution and seasonal variation
Authors: Ting Li, Kai Liu, Rui Tang, Junrong Liang, Lei Mai, Eddy Y. Zeng
Journal: Environmental Pollution · DOI: 10.1016/j.envpol.2023.121227 · Citations: 62
Matched topics: river, runoff, seasonal, surface water
Abstract not available.
Land use/land cover change and its implication on soil erosion in an ecologically sensitive Himachal Himalayan watershed, Northern India
Authors: M Prashanth, Arun Kumar, Sunil Dhar, Omkar Verma, Shashi Kant, Beena Kouser
Journal: Frontiers in Forests and Global Change · DOI: 10.3389/ffgc.2023.1124677 · Citations: 71
Matched topics: streamflow
Soil erosion is a major environmental problem that affects land and w ater resources. It has many negative implications that lead to deforestation, poor agricultural practices, loss of soil fertility, and siltation that hinder socio-economic development. In view of this, the present study was conducted with the aim of estimating soil loss in relation to long-term land use/land cover change (LULC) in the Dehar watershed, Himachal Himalaya, North India. The study was carried out using Landsat a…
GIS – based flood susceptibility mapping using frequency ratio and information value models in upper Abay river basin, Ethiopia
Authors: Abinet Addis
Journal: Natural Hazards Research · DOI: 10.1016/j.nhres.2023.02.003 · Citations: 59
Matched topics: river, flood
In this study, flood susceptibility mapping was carried out for Chemoga watershed upper Abay River basin, Ethiopia. The main objective of this study is to identify the flood susceptibility areas using Frequency ratio and Information Values models. Based on Google Earth imagery and filed survey, about 168 flooding locations were identified and classified randomly into training flood locations datasets 70% (118) and the remaining 30% (50) of flooding locations datasets were used for validation …
Mechanistic Understanding of Leakage and Consequences and Recent Technological Advances in Improving Nitrogen Use Efficiency in Cereals
Authors: Malu Ram Yadav, Sandeep Kumar, Milan Kumar Lal, Dinesh Kumar, Rakesh Kumar, R. K. Yadav et al.
Journal: Agronomy · DOI: 10.3390/agronomy13020527 · Citations: 63
Matched topics: runoff
Although nitrogen (N) is the most limiting nutrient for agricultural production, its overuse is associated with environmental pollution, increased concentration of greenhouse gases, and several human and animal health implications. These implications are greatly affected by biochemical transformations and losses of N such as volatilization, leaching, runoff, and denitrification. Half of the globally produced N fertilizers are used to grow three major cereals—rice, wheat, and maize—and their c…
Inter-basin water diversion homogenizes microbial communities mainly through stochastic assembly processes
Authors: Nan Yang, Xing Hou, Yi Li, Huanjun Zhang, Jun Wang, Xiaodong Hu et al.
Journal: Environmental Research · DOI: 10.1016/j.envres.2023.115473 · Citations: 55
Matched topics: hydrologic model, water management
Abstract not available.
Analysis of Spatiotemporal Variation and Influencing Factors of Land-Use Carbon Emissions in Nine Provinces of the Yellow River Basin Based on the LMDI Model
Authors: Qingxiang Meng, Yanna Zheng, Qi Liu, Baolu Li, Hejie Wei
Journal: Land · DOI: 10.3390/land12020437 · Citations: 59
Matched topics: river
The Yellow River Basin assumes an important ecological and economic function in China. The study of carbon emissions from land use in the nine provinces (regions) of the pathway is important to achieve carbon reduction. Based on the dynamic data of land use, energy, and economic changes in nine provinces (regions) for the past 30 years from 1990 to 2018, this study analyzed the spatial and temporal evolution characteristics of land-use carbon emissions by using the carbon emission coefficient…
Hydrological responses to co-impacts of climate change and land use/cover change based on CMIP6 in the Ganjiang River, Poyang Lake basin
Authors: Gong Li, Xiang Zhang, Guoyan Pan, Jingyi Zhao, Ye Zhao
Journal: Anthropocene · DOI: 10.1016/j.ancene.2023.100368 · Citations: 31
Matched topics: hydrologic model, river, runoff, water management, land surface model, climate change
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 863 |
| After deduplication | 560 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 510 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature Communications | 4 |
| Journal of Environmental Management | 3 |
| Journal of Hydrology | 3 |
| Nature | 2 |
| Petroleum Science | 2 |
| Agricultural Water Management | 2 |
| Wiley Interdisciplinary Reviews Water | 1 |
| Nature Geoscience | 1 |
| Natural hazards and earth system sciences | 1 |
| Agriculture | 1 |
| Scientific Reports | 1 |
| Nature Climate Change | 1 |
| Resources Policy | 1 |
| Water Research | 1 |
| Results in Engineering | 1 |
| Stochastic environmental research and risk assessment (Print) | 1 |
| The cryosphere | 1 |
| The Science of The Total Environment | 1 |
| International Journal of Disaster Risk Science | 1 |
| Climate Services | 1 |
| Environmental Pollution | 1 |
| Geoscientific Model Development | 1 |
| Biophysical Economics and Sustainability | 1 |
| Frontiers in Forests and Global Change | 1 |
| Field Crops Research | 1 |
| Natural Hazards Research | 1 |
| Agronomy | 1 |
| Marine and Petroleum Geology | 1 |
| Natural Hazards | 1 |
| Environmental Research | 1 |
| Land | 1 |
| Applied Energy | 1 |
| Anthropocene | 1 |
| Current Opinion in Environmental Sustainability | 1 |
| Remote Sensing | 1 |
| Engineering Applications of Artificial Intelligence | 1 |
| Sensors | 1 |
| Nature Sustainability | 1 |
| Journal of Hydrology Regional Studies | 1 |
| Geoscience Frontiers | 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