Weekly Literature Review
Week 49 · December 2–December 8, 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 Climate change extinctions., with 105 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- Climate change extinctions.
- Shifts in native tree species distributions in Europe under climate change
- Optimizing cover crop practices as a sustainable solution for global agroecosystem services
- Adapting crops for climate change: regaining lost abiotic stress tolerance in crops
- Bioinspired adaptive lipid-integrated bilayer coating for enhancing dynamic water retention in hydrogel-based flexible sensors
- Harnessing Beneficial Microbes for Drought Tolerance: A Review of Ecological and Agricultural Innovations
- Climate change sentiment, ESG practices and firm value: international insights
- Arbuscular mycorrhizal fungi enhance drought resistance and alter microbial communities in maize rhizosphere soil
- Assessing the impact of climate change on streamflow in the Tamor River Basin, Nepal: an analysis using SWAT and CMIP6 scenarios
- Thermal radiation, Newtonian heating, Hall and ion slip effects on unsteady MHD rotating convective flow of Casson fluid past an infinite smooth vertical porous surface
- Wildfire assessment using machine learning algorithms in different regions
- The SWOT mission will reshape our understanding of the global terrestrial water cycle
- A Deeper Understanding of Climate Variability Improves Mitigation Efforts, Climate Services, Food Security, and Development Initiatives in Sub-Saharan Africa
- A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land
- Plant growth-promoting Bacillus amyloliquefaciens orchestrate homeostasis under nutrient deficiency exacerbated drought and salinity stress in Oryza sativa L. seedlings
- The High-resolution Urban Meteorology for Impacts Dataset (HUMID) daily for the Conterminous United States
- Flood Risk Assessment and Extreme Precipitation
- Experimental study on CO2 flooding within a fractured low-permeability reservoir: Impact of high injection rate
- Fragility Modeling of Power Grid Infrastructure for Addressing Climate Change Risks and Adaptation
- Enhancing Sustainable Flood Risk Management Through a Novel Fuzzy Multi-Stakeholder Framework
- Enhancing Oil Recovery in Low Permeability Reservoirs through CO2 Miscible Flooding: Mechanisms and Dynamics
- Refining hydropower operation by dynamic control of cascade reservoir water levels with flood season segmentation
- Hydrological design in the HELPING decade – inspiring the community to innovate the hydrological design concept
- Machine Learning and AI for Hydrological Prediction
- Prediction of runoff at ungauged areas employing interpolation techniques and deep learning algorithm
- Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops
- Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques
- Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa
- Simulating flood risk in Tampa Bay using a machine learning driven approach
- An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning
- Beyond Grid Data: Exploring graph neural networks for Earth observation
- Reconstructing Attractors of a Conceptual Airfoil System via Next Generation Reservoir Computing
- A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Evaluating sustainable water management strategies using TOPSIS and fuzzy TOPSIS methods
- Vegetation restoration affects soil hydrological processes in typical natural and planted forests on the Loess Plateau
- Enhancement of groundwater resources quality prediction by machine learning models on the basis of an improved DRASTIC method
- Elucidating the hydrochemistry and REE evolution of surface water and groundwater affected by acid mine drainage
- Groundwater in Arid and Semi-Arid Areas
- The Formation of Rice Tillers and Factors Influencing It
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- The transport and vertical distribution of microplastics in the Mekong River, SE Asia
- Mitigating rainfall induced soil erosion through bio-approach: From laboratory test to field trail
- Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
- Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America
- Model test study on the rainfall erosion mechanisms and reclamation potential of open-pit coal mine dump soil improved by fly ash and polyacrylamide
- Urbanization and hydrological dynamics: a 22-year assessment of impervious surface changes and runoff in an urban watershed
- Study on the deformation mechanism of chair-like bedding rock landslides under the coupling effect of geological and hydrological factors
- Rare earth elements on aquatic organisms: Toxicity, detoxification, and ecological implications
- Attribution of sediment changes and influencing factors of microbial communities in sediment in the Wuding River basin of the Yellow River
- Ocean warming drives immediate mass loss from calving glaciers in the high Arctic
- The occurrence and persistence of surface water contaminants across different landscapes
- Linking glacier retreat with climate change on the Tibetan Plateau through satellite remote sensing
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 16 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.
Climate change extinctions.
Authors: M. C. Urban
Journal: Science · DOI: 10.1126/science.adp4461 · Citations: 105
Matched topics: climate change
Climate change is expected to cause irreversible changes to biodiversity, but predicting those risks remains uncertain. I synthesized 485 studies and more than 5 million projections to produce a quantitative global assessment of climate change extinctions. With increased certainty, this meta-analysis suggests that extinctions will accelerate rapidly if global temperatures exceed 1.5°C. The highest-emission scenario would threaten approximately one-third of species, globally. Amphibians; speci…
Shifts in native tree species distributions in Europe under climate change
Authors: Marcin K. Dyderski, Sonia Paź‐Dyderska, Andrzej M. Jagodziński, Radosław Puchałka
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.123504 · Citations: 68
Matched topics: climate change
Key European tree species are expected to contract their ranges under changing climate, thus there is a need to assess range shifts for other native tree species that could fill their forest niche. Recent studies have focused on economically important species, revealing a wide range of shifts in their distribution worldwide and highlighting several pathways for potential future changes. We aimed to quantify changes in projected ranges and threat levels by the years 2041-60 and 2061-80, for 20…
Optimizing cover crop practices as a sustainable solution for global agroecosystem services
Authors: Tianyi Qiu, Yu Shi, Josep Peñuelas, Ji Liu, Qingliang Cui, Jordi Sardans et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-54536-z · Citations: 67
Matched topics: earth system model
The practice of cover crops has gained popularity as a strategy to improve agricultural sustainability, but its full potential is often limited by environmental trade-offs. Using meta-analytic and data-driven quantifications of 2302 observations, we optimized cover crop practices and evaluated their benefits for global agroecosystems. Cover crops have historically boosted crop yields, soil carbon storage, and stability, but also stimulated greenhouse gas emissions. However, combining them wit…
Adapting crops for climate change: regaining lost abiotic stress tolerance in crops
Authors: Michael Palmgren, Sergey Shabala
Journal: Frontiers in Science · DOI: 10.3389/fsci.2024.1416023 · Citations: 57
Matched topics: climate change
It is often stated that agricultural outputs need to increase substantially to meet the demands for more food posed by a growing population. However, when accounting for climate change, we argue that current projected increases are unrealistic and a more realistic goal would be to maintain yields per area of food production. This will require breeding for crops with increased tolerance to abiotic stresses such as drought, salinity, waterlogging, and high temperatures. This goal can be accompl…
Bioinspired adaptive lipid-integrated bilayer coating for enhancing dynamic water retention in hydrogel-based flexible sensors
Authors: Ming Bai, Yanru Chen, Liyang Zhu, Ying Li, Tingting Ma, Yiran Li et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-54879-7 · Citations: 55
Matched topics: surface water
While hydrogel-based flexible sensors find extensive applications in fields such as medicine and robotics, their performance can be hindered by the rapid evaporation of water, leading to diminished sensitivity and mechanical durability. Despite the exploration of some effective solutions, such as introducing organic solvents, electrolytes, and elastomer composites, these approaches still suffer from problems including diminished conductivity, interface misalignment, and insufficient protectio…
Harnessing Beneficial Microbes for Drought Tolerance: A Review of Ecological and Agricultural Innovations
Authors: G. Mikiciuk, Tymoteusz Miller, Anna Kisiel, D. Cembrowska-Lech, M. Mikiciuk, Adrianna Łobodzińska et al.
Journal: Agriculture · DOI: 10.3390/agriculture14122228 · Citations: 44
Matched topics: drought
Drought is an increasingly critical global challenge, significantly impacting agricultural productivity, food security, and ecosystem stability. As climate change intensifies the frequency and severity of drought events, innovative strategies are essential to enhance plant resilience and sustain agricultural systems. This review explores the vital role of beneficial microbes in conferring drought tolerance, focusing on Plant Growth-Promoting Rhizobacteria (PGPR), mycorrhizal fungi, endophytes…
Climate change sentiment, ESG practices and firm value: international insights
Authors: Tanveer Bagh, Elie Bouri, Muhammad Asif Khan
Journal: China Finance Review International · DOI: 10.1108/cfri-07-2024-0381 · Citations: 43
Matched topics: climate change
Purpose This study investigates the effect of climate change sentiments (CCS) on firm value (FV) and how environmental, social and governance (ESG) practices moderate this effect. Design/methodology/approach High-dimensional fixed effects and a two-stage generalized method of moments are applied to data on 6,059 publicly traded firms from 2006 to 2022. Findings There is a significant negative effect of CCS on FV, specifically on growth option value (GOV) and Tobin’s Q (TQR), which intensifies…
Arbuscular mycorrhizal fungi enhance drought resistance and alter microbial communities in maize rhizosphere soil
Authors: Juan Li, Liuyan Zhou, Guo Chen, Mengyao Yao, Zhigang Liu, Xiaorong Li et al.
Journal: Environmental Technology & Innovation · DOI: 10.1016/j.eti.2024.103947 · Citations: 38
Matched topics: drought
Although the benefits of inoculation with arbuscular mycorrhizal fungi (AMF) for mitigating drought stress and enhancing plant growth of host are well‐studied, our understanding of their interactions with soil attributes and rhizosphere microbial communities remains limited. In the present study, we conducted a pot experiment to explore how AMF affects maize growth, antioxidant activity, soil properties, and the rhizosphere microbial communities under drought stress. The results showed that A…
Assessing the impact of climate change on streamflow in the Tamor River Basin, Nepal: an analysis using SWAT and CMIP6 scenarios
Authors: Sabina Subedi, Manoj Lamichhane, Susan Dhungana, Bibek Chalise, Shishir Bhattarai, Upendra Chaulagain et al.
Journal: Discover Civil Engineering · DOI: 10.1007/s44290-024-00143-2 · Citations: 14
Matched topics: hydrology, hydrologic model, river, streamflow, climate change
Understanding and anticipating the impacts of climate change on hydrological processes is crucial for sustainable water resource management. This study investigates the projected alterations in streamflow within the Tamor River Basin, Nepal, under changing climatic conditions, utilizing the soil and water assessment tool (SWAT). Future climatic variables, including precipitation, maximum, and minimum temperature, were assessed for the near (2022–2047), mid (2048–2073), and far future (2074–21…
Thermal radiation, Newtonian heating, Hall and ion slip effects on unsteady MHD rotating convective flow of Casson fluid past an infinite smooth vertical porous surface
Authors: M. Veera Krishna, B. V. Swarnalathamma, K. Kamala Bharathi
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103588 · Citations: 30
Matched topics: hydrology
• The Newtonian heating on heat transport on MHD flow of Casson fluid are explored. • The PDE for governing the flow are solved by using Laplace transform method. • The velocity, temperature, and species concentration are portrayed graphically. • The skin-friction, Nusselt number,and Sherwood number are represented in tables. • The problem has lot of applications and in hydrology and purification of crude oil. In the current paper, the impacts of the Newtonian heating on the heat and mass tra…
Wildfire assessment using machine learning algorithms in different regions
Authors: Sanaz Moghim, Majid Mehrabi
Journal: Fire Ecology · DOI: 10.1186/s42408-024-00335-2 · Citations: 30
Matched topics: hydrology
Abstract Background Climate change and human activities are two main forces that affect the intensity, duration, and frequency of wildfires, which can lead to risks and hazards to the ecosystems. This study uses machine learning (ML) as an effective tool for predicting wildfires using historical data and influential variables. The performance of two machine learning algorithms, including logistic regression (LR) and random forest (RF), to construct wildfire susceptibility maps is evaluated in…
The SWOT mission will reshape our understanding of the global terrestrial water cycle
Authors: Augusto Getirana, Sujay V. Kumar, Paul Bates, Aaron Boone, Dennis P. Lettenmaier, Simon Munier
Journal: Nature Water · DOI: 10.1038/s44221-024-00352-0 · Citations: 18
Matched topics: hydrologic model, surface water, earth system model
Abstract not available.
A Deeper Understanding of Climate Variability Improves Mitigation Efforts, Climate Services, Food Security, and Development Initiatives in Sub-Saharan Africa
Authors: Shamseddin Musa Ahmed, Hassan A. Dinnar, Adam E. Ahmed, Azharia Abdelbagi Elbushra, Khalid G. Biro Turk
Journal: Climate · DOI: 10.3390/cli12120206 · Citations: 8
Matched topics: hydrology, hydrologic model, runoff, streamflow, hydropower
This research utilized the bagging machine learning algorithm along with the Thornthwaite moisture index (TMI) to enhance the understanding of climate variability and change, with the objective of identifying the most efficient climate service pathways in Sub-Saharan Africa (SSA). Monthly datasets at a 0.5° resolution (1960–2020) were collected and analyzed using R 4.2.2 software and spreadsheets. The results indicate significant changes in climatic conditions in Sudan, with aridity escalatio…
A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land
Authors: Mohanna Zarei, Georgia Destouni
Journal: Scientific Data · DOI: 10.1038/s41597-024-04203-1 · Citations: 8
Matched topics: hydrologic model, runoff, streamflow, land surface model, earth system model
Water on land is essential for all societal, ecosystem, and planetary health aspects and conditions, and all life as we know it. Many disciplines consider and model similar terrestrial water phenomena and processes, but comparisons and consistent validations are lacking for the datasets used by various science communities for different world parts, scales, and applications. Here, we present a new global data synthesis that includes and harmonises four comparative datasets for main terrestrial…
Plant growth-promoting Bacillus amyloliquefaciens orchestrate homeostasis under nutrient deficiency exacerbated drought and salinity stress in Oryza sativa L. seedlings
Authors: Nikita Bisht, Tanya Singh, Mohd. Mogees Ansari, Harshita Joshi, Shahank Kumar Mishra, Puneet Singh Chauhan
Journal: Planta · DOI: 10.1007/s00425-024-04585-x · Citations: 25
Matched topics: drought
Abstract not available.
The High-resolution Urban Meteorology for Impacts Dataset (HUMID) daily for the Conterminous United States
Authors: Andrew J. Newman, Christina Kalb, TC Chakraborty, Amy Fitch, Lyndsey A. Darrow, Joshua L. Warren et al.
Journal: Scientific Data · DOI: 10.1038/s41597-024-04086-2 · Citations: 14
Matched topics: hydrology, hydrologic model, land surface model
Many current gridded surface meteorological datasets are inadequate for quantifying near-surface spatiotemporal variability because they do not fully represent the impacts of land surface heterogeneity. Of note, explicit representation of the spatial structure and magnitude of local urban warming are usually lacking. Here we enhance the representation of spatial meteorological variability over urban areas in the conterminous United States (CONUS) by employing the High-Resolution Land Data Ass…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 6 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.
Experimental study on CO2 flooding within a fractured low-permeability reservoir: Impact of high injection rate
Authors: Mengyuan Zhang, Binfei Li, Lei Zheng, Yan Xin, Wanli Xing, Zhaomin Li
Journal: Fuel · DOI: 10.1016/j.fuel.2024.134002 · Citations: 21
Matched topics: reservoir, flood
Abstract not available.
Fragility Modeling of Power Grid Infrastructure for Addressing Climate Change Risks and Adaptation
Authors: George Karagiannakis, Mathaios Panteli, Sotirios Argyroudis
Journal: Wiley Interdisciplinary Reviews Climate Change · DOI: 10.1002/wcc.930 · Citations: 25
Matched topics: climate change
ABSTRACT The resilience of electric power grids is threatened by natural hazards. Climate‐related hazards are becoming more frequent and intense due to climate change. Statistical analyses clearly demonstrate a rise in the number of incidents (power failures) and their consequences in recent years. Therefore, it is of utmost importance to understand and quantify the resilience of the infrastructure to external stressors, which is essential for developing efficient climate change adaptation st…
Enhancing Sustainable Flood Risk Management Through a Novel Fuzzy Multi-Stakeholder Framework
Authors: Mustafa Utku Yılmaz
Journal: Water Resources Management · DOI: 10.1007/s11269-024-04012-6 · Citations: 20
Matched topics: water management, flood
Abstract not available.
Enhancing Oil Recovery in Low Permeability Reservoirs through CO2 Miscible Flooding: Mechanisms and Dynamics
Authors: Xinliang Chen, Zhengming Yang, Hongwei Yu, Zhongkun Niu, Wen Li, Ninghong Jia et al.
Journal: ACS Omega · DOI: 10.1021/acsomega.4c06509 · Citations: 17
Matched topics: reservoir, flood
miscible flooding in field production.
Refining hydropower operation by dynamic control of cascade reservoir water levels with flood season segmentation
Authors: Shaokun He, Binbin Li, Qianxun Li, Hezhen Zheng, Yingjian Chen
Journal: Energy · DOI: 10.1016/j.energy.2024.134156 · Citations: 12
Matched topics: reservoir, flood, hydropower
Abstract not available.
Hydrological design in the HELPING decade – inspiring the community to innovate the hydrological design concept
Authors: Svenja Fischer, Eleonora Dallan, Aldo Fiori, Salvatore Grimaldi, Krzystof Kochanek, Cristina Prieto et al.
Journal: Hydrological Sciences Journal · DOI: 10.1080/02626667.2024.2436634 · Citations: 11
Matched topics: hydrology, hydrologic model, streamflow
Hydrological design, which ultimately leads to the dimensioning of hydrostructures for e.g. flood protection or water supply, is a key task of hydrologists and most important for the majority of stakeholders, authorities and practitioners. Hydrological design, therefore, must be communicated to the interested parties in an appropriate and comprehensive way. In this work, by collecting the most critical gaps and challenges associated with hydrological design, we aim to stimulate and serve as a…
Machine Learning and AI for Hydrological Prediction
This week’s 9 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.
Prediction of runoff at ungauged areas employing interpolation techniques and deep learning algorithm
Authors: Vinay Mahakur, Vijay Kumar Mahakur, Sandeep Samantaray, Dillip K. Ghose
Journal: HydroResearch · DOI: 10.1016/j.hydres.2024.12.001 · Citations: 59
Matched topics: hydrologic model, runoff, water management
Most river basins across the world are ungauged, and just a handful are gauged. As a result, predicting runoff in an unmeasured watershed is a difficult problem for the researchers. This research takes into account the tropical monsoon region, which is primarily covered by mountains and has a changing climate. This research is also carried out by creating a model with a machine learning technique that comprises Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The hybrid m…
Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops
Authors: Tariq Ali, Saif Ur Rehman, Shamshair Ali, Khalid Mahmood, Silvia Aparicio Obregón, Rubén Calderón Iglesias et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-024-74127-8 · Citations: 48
Matched topics: drought
Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combi…
Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques
Authors: Zhenya Qi, Yu-Dong Feng, Shoufeng Wang, Chao Li
Journal: Ain Shams Engineering Journal · DOI: 10.1016/j.asej.2024.103206 · Citations: 40
Matched topics: hydropower
Hydropower plays a crucial role in electricity generation, contributing over 60% of total renewable energy output. Its ability to stabilize energy fluctuations makes it essential in green energy initiatives. Accurate prediction of hydropower production is vital, considering its dependence on various factors like weather, water storage, and electricity generation. Traditional methods struggle with the complexities involved. This study utilized Support Vector Regression (SVR) and eXtreme Gradie…
Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa
Authors: Ndubuisi Igwebuike, Moyinoluwa Ajayi, Chukwuma Okolie, Thokozani Kanyerere, Todd Halihan
Journal: Earth Science Informatics · DOI: 10.1007/s12145-024-01623-w · Citations: 32
Matched topics: hydrology, hydrologic model
Abstract Groundwater models are valuable tools to quantify the response of groundwater level to hydrological stresses induced by climate variability and groundwater extraction. These models strive for sustainable groundwater management by balancing recharge, discharge, and natural processes, with groundwater level serving as a critical response variable. While traditional numerical models are labour-intensive, machine learning and deep learning offer a data-driven alternative, learning from h…
Simulating flood risk in Tampa Bay using a machine learning driven approach
Authors: Hemal Dey, Md. Munjurul Haque, Wanyun Shao, Matthew S. VanDyke, Feng Hao
Journal: npj natural hazards. · DOI: 10.1038/s44304-024-00045-4 · Citations: 28
Matched topics: hydrologic model, flood
Machine learning (ML) models can simulate flood risk by identifying critical non-linear relationships between flood damage locations and flood risk factors (FRFs). To explore it, Tampa Bay, Florida, is selected as a test site. The study’s goal is to simulate flood risk and identify dominant FRFs using historical flood damage data as target variable, with 16 FRFs as predictor variables. Five different ML models such as decision tree (DT), support vector machine (SVM), adaptive boosting (AdaBoo…
An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning
Authors: Atila Bezdan, Jovana Bezdan, Monika Markovıć, Dejan Mirčetić, Aleksandar Baumgertel, Andrea Salvai et al.
Journal: CATENA · DOI: 10.1016/j.catena.2024.108618 · Citations: 21
Matched topics: water management, land surface model
Abstract not available.
Beyond Grid Data: Exploring graph neural networks for Earth observation
Authors: Shan Zhao, Zhaiyu Chen, Zhitong Xiong, Yi-Lei Shi, Sudipan Saha, Xiao Xiang Zhu
Journal: IEEE Geoscience and Remote Sensing Magazine · DOI: 10.1109/mgrs.2024.3493972 · Citations: 20
Matched topics: hydrologic model, earth system model
Earth observation (EO) data analysis has been significantly revolutionized by deep learning (DL), with applications typically limited to grid-like data structures. Graph neural networks (GNNs) emerge as an important innovation, propelling DL into the non-Euclidean domain. Naturally, GNNs can effectively tackle the challenges posed by diverse modalities, multiple sensors, and the heterogeneous nature of EO data. To introduce GNNs in the related domains, our review begins by offering fundamenta…
Reconstructing Attractors of a Conceptual Airfoil System via Next Generation Reservoir Computing
Authors: Qi Liu, Hiroya Nakao, Xiaolong Wang, Guangning Li, Xiaochuan Liu, Yong Xu
Journal: AIAA Journal · DOI: 10.2514/1.j064609 · Citations: 23
Matched topics: reservoir
Reconstructing attractors of airfoil systems from observations facilitates understanding of aeroelasticity, especially the onset of flutter. However, it is generally difficult due to observation noise and the nonlinear nature of the underlying dynamics. In this study, a hybrid strategy is proposed which incorporates data preprocessing and next generation reservoir computing (NG-RC) for reconstructing attractors of an airfoil system. This approach first estimates the system states from noisy o…
A semantic segmentation framework with UNet-pyramid for landslide prediction using remote sensing data
Authors: Arush Kaushal, Ashok Kumar Gupta, Vivek Kumar Sehgal
Journal: Scientific Reports · DOI: 10.1038/s41598-024-79266-6 · Citations: 21
Matched topics: hydrology
Landslides are frequent all over the world, posing serious threats to human life, infrastructure, and economic operations, making them chronic disasters. This study proposes a novel landslide detection methodology that is automated and based on a hybrid deep learning approach. Currently, Deep Learning is constrained by the lack of applicability, lack of data, and low efficiency in landslide detection but with recent advancement in deep learning-based solutions for landslide detection has spar…
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.
Sustainable energy integration: Enhancing the complementary operation of pumped-storage power and hydropower systems
Authors: Yanlai Zhou, Zhihao Ning, Kangkang Huang, Shenglian Guo, Chong‐Yu Xu, Fi‐John Chang
Journal: Renewable and Sustainable Energy Reviews · DOI: 10.1016/j.rser.2024.115175 · Citations: 30
Matched topics: hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 6 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.
Evaluating sustainable water management strategies using TOPSIS and fuzzy TOPSIS methods
Authors: F. Han, Rami N. Alkhawaji, M. M. Shafieezadeh
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02336-7 · Citations: 52
Matched topics: water management
This study evaluates sustainable water management strategies using TOPSIS and Fuzzy TOPSIS (FTOPSIS) to address global water scarcity by comparing rainwater harvesting, water recycling, and desalination across five criteria: water efficiency, cost-effectiveness, environmental impact, social equity, and technological feasibility. The results show Rainwater Harvesting as the most balanced option with a relative closeness value of Ci+\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage…
Vegetation restoration affects soil hydrological processes in typical natural and planted forests on the Loess Plateau
Authors: Xiru Liu, Tianjiao Feng, Yufei Zhang, Yabo Liu, Ping Wang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132465 · Citations: 35
Matched topics: hydrologic model
• Soil hydrological properties differ among vegetation types after long-term restoration. • The understory vegetation attributes and soil properties of natural forest are excellent. • Vegetation indirectly enhances soil hydrological capacity by directly improving soil properties. • Results provide valuable data for ecosystem restoration and nature-based resource utilization. Globally, vegetation restoration has long been a crucial method for ecohydrological remediation in fragile ecosystems. …
Enhancement of groundwater resources quality prediction by machine learning models on the basis of an improved DRASTIC method
Authors: Ali Bakhtiarizadeh, Mohammad Najafzadeh, Sedigheh Mohamadi
Journal: Scientific Reports · DOI: 10.1038/s41598-024-78812-6 · Citations: 20
Matched topics: hydrologic model, streamflow
Determining situation of groundwater vulnerability plays a crucial role in studying the groundwater resource management. Generally, the preparation of reliable groundwater vulnerability maps provides targeted and practical scientific measures for the protection and management of groundwater resources. In this study, in order to evaluate the groundwater vulnerability of Kerman-Baghin plain aquifer, two developed indicators including composite DRASTIC index (CD) and nitrate vulnerability index …
Elucidating the hydrochemistry and REE evolution of surface water and groundwater affected by acid mine drainage
Authors: Xiaoxin Shi, Yanyan Gao, Hui Qian, Jie Chen, Weiqing Li, Siqi Li et al.
Journal: Environmental Pollution · DOI: 10.1016/j.envpol.2024.125495 · Citations: 23
Matched topics: surface water
Abstract not available.
Groundwater in Arid and Semi-Arid Areas
Authors: Lhoussaine Bouchaou, Mohamed El Alfy, Margaret Shanafield, Abdelfettah Siffeddine, John M. Sharp
Journal: Geosciences · DOI: 10.3390/geosciences14120332 · Citations: 17
Matched topics: hydrology, hydrologic model
MDPI has published two issues on groundwater in arid and semi-arid areas in Geosciences […]
The Formation of Rice Tillers and Factors Influencing It
Authors: Yuan Rong, Yuxin Mao, Dehai Zhang, Shun Wang, Huina Zhang, Meng Wu et al.
Journal: Agronomy · DOI: 10.3390/agronomy14122904 · Citations: 20
Matched topics: water management
The number of effective rice tillers determines the number of effective panicles and then affects the final yield. Rice tillering ability shows great differences among cultivars and under different environmental conditions, but the underlying mechanisms are not clear. The present paper investigated the formation of rice tillers and examined its genetic regulation, the effects of plant hormones, several environmental factors affecting rice tillering, and nitrogen’s regulation of tillers. Final…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 12 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.
The transport and vertical distribution of microplastics in the Mekong River, SE Asia
Authors: Freija Mendrik, Christopher Hackney, Vivien M. Cumming, Catherine Waller, Danet Hak, R. M. Dorrell et al.
Journal: Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2024.136762 · Citations: 27
Matched topics: hydrology, river, hydropower
) with most microplastics being fibres (53 %), followed by fragments (44 %) and the most common polymer being polyethylene terephthalate (PET) or polyester. Pathways of microplastic pollution are expected to be from urban wastewater highlighting the need for improved wastewater treatment in this region. On average, 86 % of microplastics are transported within the water column and consequently we identified an optimum sampling depth capturing a representative flux value, highlighting that samp…
Mitigating rainfall induced soil erosion through bio-approach: From laboratory test to field trail
Authors: Bo Liu, Chao‐Sheng Tang, Xiaohua Pan, Qing Cheng, Jin‐Jian Xu, Chao Lv
Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107842 · Citations: 28
Matched topics: runoff
Abstract not available.
Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
Authors: Daniel T. Myers, David Jones, Diana Oviedo‐Vargas, John Paul Schmit, Darren L. Ficklin, Xuesong Zhang
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-5295-2024 · Citations: 13
Matched topics: hydrology, hydrologic model, streamflow, seasonal
Abstract. Most readily available land use/land cover (LULC) data are developed using growing season remote sensing images often at annual time steps, but seasonal changes in remote sensing data can lead to inconsistencies in LULC classification, which could impact geospatial models based on LULC. We used the Dynamic World near-real-time global LULC dataset to compare how geospatial environmental models of water quality and hydrology respond to LULC estimated from growing vs. non-growing seaso…
Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America
Authors: Colleen Mortimer, Lawrence Mudryk, Eunsang Cho, Chris Derksen, Mike Brady, Carrie Vuyovich
Journal: The cryosphere · DOI: 10.5194/tc-18-5619-2024 · Citations: 12
Matched topics: hydrologic model, streamflow, land surface model, hydropower
Abstract. We use snow course and airborne gamma data available over North America to compare the validation of gridded snow water equivalent (SWE) products when evaluated with one reference dataset versus the other. We assess product performance across both non-mountainous and mountainous regions, determining the sensitivity of relative product rankings and absolute performance measures. In non-mountainous areas, product performance is insensitive to the choice of SWE reference dataset (snow …
Model test study on the rainfall erosion mechanisms and reclamation potential of open-pit coal mine dump soil improved by fly ash and polyacrylamide
Authors: Shiyu Li, Shuhong Wang, Zhong-Hua Zhao, Natalia A. Telyatnikova, Marinichev Maxim
Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107837 · Citations: 20
Matched topics: hydrologic model, runoff
Abstract not available.
Urbanization and hydrological dynamics: a 22-year assessment of impervious surface changes and runoff in an urban watershed
Authors: Cyrus Omwoyo Ongaga, Mary Makokha, Kennedy Obiero, Isaac Kipkemoi, Justus Diang’a
Journal: Frontiers in Water · DOI: 10.3389/frwa.2024.1455763 · Citations: 10
Matched topics: hydrologic model, runoff, land surface model, earth system model
The frequency and intensity of flooding have been increasing in urban watersheds. Urbanization disrupts natural landscapes by replacing vegetated areas with impervious surfaces, reducing infiltration and increasing runoff. The objective of this study was to evaluate the relationship between change in impervious surface area and runoff amount of Mihang’o watershed located in the outskirts of Nairobi for the period 2000–2022. The specific objectives of this study were as follows: To determine t…
Study on the deformation mechanism of chair-like bedding rock landslides under the coupling effect of geological and hydrological factors
Authors: Biao Wang, Qingjun Zuo, Maolin Deng, Qinglin Yi, Di Ruan, Zhikang Liang
Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107832 · Citations: 24
Matched topics: hydrologic model
Abstract not available.
Rare earth elements on aquatic organisms: Toxicity, detoxification, and ecological implications
Authors: Mahdi Banaee, Camilla Mossotto, Alessandra Maganza, Ramla Azizi, Marino Prearo, Paolo Pastorino et al.
Journal: Emerging contaminants · DOI: 10.1016/j.emcon.2024.100457 · Citations: 23
Matched topics: runoff
Rare earth elements (REEs) are widely used in various industries, such as electronics, renewable energy, and manufacturing, leading to their gradual accumulation in ecosystems, including water environments. As emerging pollutants, REEs find their way into water bodies through various channels, such as industrial discharge, mining runoff, and sewage. Despite their growing presence, the understanding of their toxicity in aquatic organisms is limited, representing a significant gap in current re…
Attribution of sediment changes and influencing factors of microbial communities in sediment in the Wuding River basin of the Yellow River
Authors: Guoce Xu, Zaixing Zhi, Zhanbin Li, Jie Zhuang, Mengjing Guo, Kang Ling Fang et al.
Journal: CATENA · DOI: 10.1016/j.catena.2024.108626 · Citations: 16
Matched topics: river, runoff
Abstract not available.
Ocean warming drives immediate mass loss from calving glaciers in the high Arctic
Authors: Øyvind Foss, Joséphine Maton, Geir Moholdt, Louise Steffensen Schmidt, David A. Sutherland, Ilker Fer et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-54825-7 · Citations: 16
Matched topics: runoff, surface water
Glaciers in the Arctic have lost considerable mass during the last two decades. About a third of the glaciers by area drains into the ocean, yet the mechanisms and drivers governing mass loss at glacier calving fronts are poorly constrained in part due to few long-term glacier-ocean observations. Here, we combine a detailed satellite-based record of calving front ablation for Austfonna, the largest ice cap on Svalbard, with in-situ ocean records from an offshore mooring and modelled freshwate…
The occurrence and persistence of surface water contaminants across different landscapes
Authors: Emily Nottingham Byers, Tiffany Messer, Jason M. Unrine, Christopher D. Barton, Carmen T. Agouridis, Daniel N. Miller
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.177837 · Citations: 11
Matched topics: hydrologic model, streamflow, surface water
Abstract not available.
Linking glacier retreat with climate change on the Tibetan Plateau through satellite remote sensing
Authors: Fumeng Zhao, Wenping Gong, Silvia Bianchini, Zhongkang Yang
Journal: The cryosphere · DOI: 10.5194/tc-18-5595-2024 · Citations: 20
Matched topics: climate change
Abstract. Under global climate change, glaciers on the Tibetan Plateau are experiencing severe retreat, which significantly impacts the regional water cycle and the occurrence of natural hazards. However, detailed insights into the spatiotemporal patterns of this retreat and its climatic drivers remain insufficiently explored. In this study, an adaptive glacier extraction index (AGEI) is proposed based on the analysis of multispectral Landsat images integrated with the Google Earth Engine, an…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 900 |
| After deduplication | 681 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 631 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature Communications | 3 |
| Scientific Reports | 3 |
| Engineering Geology | 3 |
| Scientific Data | 2 |
| The cryosphere | 2 |
| CATENA | 2 |
| Science | 1 |
| HydroResearch | 1 |
| Journal of Environmental Management | 1 |
| Frontiers in Science | 1 |
| Applied Water Science | 1 |
| Agriculture | 1 |
| China Finance Review International | 1 |
| Ain Shams Engineering Journal | 1 |
| Environmental Technology & Innovation | 1 |
| Earth Science Informatics | 1 |
| Journal of Hazardous Materials | 1 |
| Journal of Hydrology | 1 |
| Discover Civil Engineering | 1 |
| npj natural hazards. | 1 |
| Results in Engineering | 1 |
| Fire Ecology | 1 |
| Renewable and Sustainable Energy Reviews | 1 |
| Nature Water | 1 |
| Hydrology and earth system sciences | 1 |
| Climate | 1 |
| Fuel | 1 |
| Planta | 1 |
| Wiley Interdisciplinary Reviews Climate Change | 1 |
| IEEE Geoscience and Remote Sensing Magazine | 1 |
| Water Resources Management | 1 |
| Frontiers in Water | 1 |
| Emerging contaminants | 1 |
| AIAA Journal | 1 |
| Environmental Pollution | 1 |
| Geosciences | 1 |
| ACS Omega | 1 |
| Energy | 1 |
| Hydrological Sciences Journal | 1 |
| The Science of The Total Environment | 1 |
| Agronomy | 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