Weekly Literature Review
Week 6 · February 5–February 11, 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 A triple increase in global river basins with water scarcity due to future pollu, with 405 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
- Physics-based early warning signal shows that AMOC is on tipping course
- Globally representative evidence on the actual and perceived support for climate action
- Addressing climate change with behavioral science: A global intervention tournament in 63 countries
- Urban heat mitigation by green and blue infrastructure: Drivers, effectiveness, and future needs
- Crop traits and production under drought
- A deep reservoir for hydrogen drives intense degassing in the Bulqizë ophiolite
- Contribution of climate change to the spatial expansion of West Nile virus in Europe
- Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
- Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources
- Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones
- Assessing changes in global fire regimes
- Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
- Dynamic interplay among soil nutrients, rhizosphere metabolites, and microbes shape drought and heat stress responses in summer maize
- Recent Advancements in Mitigating Abiotic Stresses in Crops
- How plants sense and respond to osmotic stress
- Experimental warming accelerates positive soil priming in a temperate grassland ecosystem
- On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
- Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent
- Atmospheric and Land Drivers of Streamflow Flash Droughts in India
- Climate Change—The Rise of Climate-Resilient Crops
- A 2020 forest age map for China with 30 m resolution
- Addressing the Climate Change Adaptation Gap: Key Themes and Future Directions
- Mapping the global distribution of C4 vegetation using observations and optimality theory
- Two gene clusters and their positive regulator SlMYB13 that have undergone domestication-associated negative selection control phenolamide accumulation and drought tolerance in tomato
- Divergent future drought projections in UK river flows and groundwater levels
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
- Statistical Modeling of Spatially Stratified Heterogeneous Data
- Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
- Climate-invariant machine learning
- Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
- A Novel Runoff Prediction Model Based on Support Vector Machine and Gate Recurrent unit with Secondary Mode Decomposition
- IoT-Driven Image Recognition for Microplastic Analysis in Water Systems using Convolutional Neural Networks
- A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
- Efficient data-driven machine learning models for scour depth predictions at sloping sea defences
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- A triple increase in global river basins with water scarcity due to future pollution
- RETRACTED: Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based techniques
- Optimizing the Nitrogen Use Efficiency in Vegetable Crops
- Superhydrophobic sand evaporator with core-shell structure for long-term salt-resistant solar desalination
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Addressing global environmental pollution using environmental control techniques: a focus on environmental policy and preventive environmental management
- Flood Detection with SAR: A Review of Techniques and Datasets
- A radius valley between migrated steam worlds and evaporated rocky cores
- Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi’an Region, China
- Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
- The Health of Vineyard Soils: Towards a Sustainable Viticulture
- A comparative analysis of methods and tools for low impact development (LID) site selection
- Identifying critical source areas of non-point source pollution to enhance water quality: Integrated SWAT modeling and multi-variable statistical analysis to reveal key variables and thresholds
- Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 25 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.
Physics-based early warning signal shows that AMOC is on tipping course
Authors: René M. van Westen, Michael Kliphuis, Henk A. Dijkstra
Journal: Science Advances · DOI: 10.1126/sciadv.adk1189 · Citations: 258
Matched topics: runoff, land surface model, earth system model
One of the most prominent climate tipping elements is the Atlantic meridional overturning circulation (AMOC), which can potentially collapse because of the input of fresh water in the North Atlantic. Although AMOC collapses have been induced in complex global climate models by strong freshwater forcing, the processes of an AMOC tipping event have so far not been investigated. Here, we show results of the first tipping event in the Community Earth System Model, including the large climate impa…
Globally representative evidence on the actual and perceived support for climate action
Authors: Peter Andre, Teodora Boneva, Felix Chopra, Armin Falk
Journal: Nature Climate Change · DOI: 10.1038/s41558-024-01925-3 · Citations: 258
Matched topics: earth system model
Abstract Mitigating climate change necessitates global cooperation, yet global data on individuals’ willingness to act remain scarce. In this study, we conducted a representative survey across 125 countries, interviewing nearly 130,000 individuals. Our findings reveal widespread support for climate action. Notably, 69% of the global population expresses a willingness to contribute 1% of their personal income, 86% endorse pro-climate social norms and 89% demand intensified political action. Co…
Addressing climate change with behavioral science: A global intervention tournament in 63 countries
Authors: Madalina Vlasceanu, Kimberly C Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael Berkebile-Weinberg, Samantha J Grayson et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adj5778 · Citations: 240
Matched topics: land surface model, climate change
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limite…
Urban heat mitigation by green and blue infrastructure: Drivers, effectiveness, and future needs
Authors: Prashant Kumar, Sisay E. Debele, Soheila Khalili, Christos H. Halios, Jeetendra Sahani, Nasrin Aghamohammadi et al.
Journal: The Innovation · DOI: 10.1016/j.xinn.2024.100588 · Citations: 198
Matched topics: runoff, land surface model
The combination of urbanization and global warming leads to urban overheating and compounds the frequency and intensity of extreme heat events due to climate change. Yet, the risk of urban overheating can be mitigated by urban green-blue-grey infrastructure (GBGI), such as parks, wetlands, and engineered greening, which have the potential to effectively reduce summer air temperatures. Despite many reviews, the evidence bases on quantified GBGI cooling benefits remains partial and the practica…
Crop traits and production under drought
Authors: Vincent Vadez, Alexandre Grondin, Karine Chenu, A. Henry, L. Laplaze, Emilie J. Millet et al.
Journal: Nature Reviews Earth & Environment · DOI: 10.1038/s43017-023-00514-w · Citations: 169
Matched topics: drought
Abstract not available.
A deep reservoir for hydrogen drives intense degassing in the Bulqizë ophiolite
Authors: L. Truche, F. Donzé, Edmond Goskolli, Bardhyl Muceku, C. Loisy, Christophe Monnin et al.
Journal: Science · DOI: 10.1126/science.adk9099 · Citations: 133
Matched topics: reservoir
Deep crustal production of hydrogen (H2) is a potential source of primary energy if recoverable accumulations in geological formations are sufficiently large. We report direct measurements of an elevated outgassing rate of 84% (by volume) of H2 from the deep underground Bulqizë chromite mine in Albania. A minimum of 200 tons of H2 is vented annually from the mine’s galleries, making it one of the largest recorded H2 flow rates to date. We cannot attribute the flux solely to the release of pal…
Contribution of climate change to the spatial expansion of West Nile virus in Europe
Authors: Diana Erazo, Luke Grant, Guillaume Ghisbain, Giovanni Marini, Felipe J. Colón‐González, William Wint et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-45290-3 · Citations: 124
Matched topics: land surface model, climate change
West Nile virus (WNV) is an emerging mosquito-borne pathogen in Europe where it represents a new public health threat. While climate change has been cited as a potential driver of its spatial expansion on the continent, a formal evaluation of this causal relationship is lacking. Here, we investigate the extent to which WNV spatial expansion in Europe can be attributed to climate change while accounting for other direct human influences such as land-use and human population changes. To this en…
Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Authors: Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig, Laura Carrea, Samantha K. Oliver, A. Piotrowski et al.
Journal: Reviews of Geophysics · DOI: 10.1029/2023rg000816 · Citations: 103
Matched topics: hydrology, water management, land surface model, climate change, hydropower, earth system model
Abstract Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for t…
Recent Advances and Challenges of Hydrogen Production Technologies via Renewable Energy Sources
Authors: Ababay Ketema Worku, Delele Worku Ayele, Deva Brinda Deepak, Abaynesh Yihdego Gebreyohannes, Segenet Dagmawi Agegnehu, Mohan Lal Kolhe
Journal: Advanced Energy and Sustainability Research · DOI: 10.1002/aesr.202300273 · Citations: 117
Matched topics: land surface model, hydropower
Currently, fossil fuels play a major role in meeting the world’s energy demand. Fossil fuels, in contrast, threaten the planet’s ecosystems and biological processes, contribute to global warming, and result in unfavorable climatic shifts. These energy sources are also finite and will eventually deplete. Thus, energy transition, which is the key from fossil fuels to renewable energy sources, is regarded as an essential course of action for decarbonizing the global economy and reducing the cata…
Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones
Authors: Yefei Liu, Weijie Zhang, Wenkai Liu, Zhangzhi Tan, Sheng Hu, Zurui Ao et al.
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105268 · Citations: 107
Matched topics: seasonal, land surface model
Abstract not available.
Assessing changes in global fire regimes
Authors: Sayedeh Sara Sayedi, Benjamin W. Abbott, Boris Vannière, Bérangère Leys, Danièle Colombaroli, Graciela Gil‐Romera et al.
Journal: Fire Ecology · DOI: 10.1186/s42408-023-00237-9 · Citations: 107
Matched topics: land surface model
Abstract Background The global human footprint has fundamentally altered wildfire regimes, creating serious consequences for human health, biodiversity, and climate. However, it remains difficult to project how long-term interactions among land use, management, and climate change will affect fire behavior, representing a key knowledge gap for sustainable management. We used expert assessment to combine opinions about past and future fire regimes from 99 wildfire researchers. We asked for quan…
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Authors: Chaitanya B. Pande, Johnbosco C. Egbueri, Romulus Costache, Lariyah Mohd Sidek, Qingzheng Wang, Fahad Alshehri et al.
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2024.141035 · Citations: 106
Matched topics: land surface model
Abstract not available.
Dynamic interplay among soil nutrients, rhizosphere metabolites, and microbes shape drought and heat stress responses in summer maize
Authors: Ao Yuan, Saini Dinesh Kumar, Haotian Wang, Shancong Wang, Somayanda M. Impa, Hao Wang et al.
Journal: Soil Biology and Biochemistry · DOI: 10.1016/j.soilbio.2024.109357 · Citations: 97
Matched topics: drought
Abstract not available.
Recent Advancements in Mitigating Abiotic Stresses in Crops
Authors: Yusuf Opeyemi Oyebamiji, Basit Akolade Adigun, Noraziyah Abd Aziz Shamsudin, Asmuni Mohd Ikmal, Monsuru Adekunle Salisu, Fadila Ahmad Malike et al.
Journal: Horticulturae · DOI: 10.3390/horticulturae10020156 · Citations: 84
Matched topics: water management
In recent years, the progressive escalation of climate change scenarios has emerged as a significant global concern. The threat to global food security posed by abiotic stresses such as drought, salinity, waterlogging, temperature stress (heat stress, freezing, and chilling), and high heavy metal accumulation is substantial. The implementation of any of these stresses on agricultural land induces modifications in the morphological, biochemical, and physiological processes of plants, leading t…
How plants sense and respond to osmotic stress
Authors: Bo Yu, Dai‐Yin Chao, Yang Zhao
Journal: Journal of Integrative Plant Biology · DOI: 10.1111/jipb.13622 · Citations: 81
Matched topics: land surface model
Drought is one of the most serious abiotic stresses to land plants. Plants sense and respond to drought stress to survive under water deficiency. Scientists have studied how plants sense drought stress, or osmotic stress caused by drought, ever since Charles Darwin, and gradually obtained clues about osmotic stress sensing and signaling in plants. Osmotic stress is a physical stimulus that triggers many physiological changes at the cellular level, including changes in turgor, cell wall stiffn…
Experimental warming accelerates positive soil priming in a temperate grassland ecosystem
Authors: Xuanyu Tao, Zhifeng Yang, Jiajie Feng, Siyang Jian, Yunfeng Yang, Colin T. Bates et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-45277-0 · Citations: 69
Matched topics: land surface model, earth system model
emissions. If our findings can be generalized to other ecosystems over an extended period of time, soil priming could play an important role in terrestrial C cycle feedbacks and climate change.
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Authors: Sungwook Wi, Scott Steinschneider
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-479-2024 · Citations: 40
Matched topics: hydrology, hydrologic model, runoff, streamflow, land surface model, climate change, earth system model
Abstract. Deep learning (DL) rainfall–runoff models outperform conceptual, process-based models in a range of applications. However, it remains unclear whether DL models can produce physically plausible projections of streamflow under climate change. We investigate this question through a sensitivity analysis of modeled responses to increases in temperature and potential evapotranspiration (PET), with other meteorological variables left unchanged. Previous research has shown that temperature-…
Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent
Authors: Abdul Malek Abdul Rahman, Sreeja Pekkat
Journal: Scientific Reports · DOI: 10.1038/s41598-024-52275-1 · Citations: 54
Matched topics: hydrologic model, land surface model
Selecting the best region-specific climate models is a precursor information for quantifying the climate change impact studies on hydraulic/hydrological projects and extreme heat events. A crucial step in lowering GCMs simulation-related uncertainty is identifying skilled GCMs based on their ranking. This research performed a critical assessment of 30 general circulation models (GCMs) from CMIP6 (IPCC’s sixth assessment report) for maximum and minimum temperature over Indian subcontinent. The…
Atmospheric and Land Drivers of Streamflow Flash Droughts in India
Authors: Rajesh Singh, V. Mishra
Journal: Journal of Geophysical Research: Atmospheres · DOI: 10.1029/2023JD040257 · Citations: 41
Matched topics: streamflow, water management, drought, hydropower
Streamflow flash droughts (SFDs), characterized by a rapid decline in streamflow over a relatively short period, affect water availability, hydropower generation, and the ecosystem. However, atmospheric and land processes that drive SFDs in the monsoonal climate of India remain unexplored. Using observations, reanalysis data sets, and model simulations, we examined the critical drivers of SFDs in 64 catchments in India during the 1971–2018 period. We identified meteorological flash droughts (…
Climate Change—The Rise of Climate-Resilient Crops
Authors: Przemysław Kopeć
Journal: Plants · DOI: 10.3390/plants13040490 · Citations: 58
Matched topics: climate change
Climate change disrupts food production in many regions of the world. The accompanying extreme weather events, such as droughts, floods, heat waves, and cold snaps, pose threats to crops. The concentration of carbon dioxide also increases in the atmosphere. The United Nations is implementing the climate-smart agriculture initiative to ensure food security. An element of this project involves the breeding of climate-resilient crops or plant cultivars with enhanced resistance to unfavorable env…
A 2020 forest age map for China with 30 m resolution
Authors: Kai Cheng, Yuling Chen, Tianyu Xiang, Haitao Yang, Weiyan Liu, Yu Ren et al.
Journal: Earth system science data · DOI: 10.5194/essd-16-803-2024 · Citations: 57
Matched topics: land surface model
Abstract. A high-resolution, spatially explicit forest age map is essential for quantifying forest carbon stocks and carbon sequestration potential. Prior attempts to estimate forest age on a national scale in China have been limited by sparse resolution and incomplete coverage of forest ecosystems, attributed to complex species composition, extensive forest areas, insufficient field measurements, and inadequate methods. To address these challenges, we developed a framework that combines mach…
Addressing the Climate Change Adaptation Gap: Key Themes and Future Directions
Authors: Ishfaq Hussain Malik, James D. Ford
Journal: Climate · DOI: 10.3390/cli12020024 · Citations: 56
Matched topics: climate change
Climate change adaptation is a critical response to the challenges posed by climate change and is important for building resilience. Progress in adaptation efforts has been made globally, nationally, and locally through international agreements, national plans, and community-based initiatives. However, significant gaps exist in knowledge, capacity, and finance. The Adaptation Gap Report 2023, published by the United Nations Environment Programme (UNEP), examines the status of climate change a…
Mapping the global distribution of C4 vegetation using observations and optimality theory
Authors: Xiangzhong Luo, Haoran Zhou, Tin W. Satriawan, Jiaqi Tian, Ruiying Zhao, Trevor F. Keenan et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-45606-3 · Citations: 49
Matched topics: land surface model, earth system model
plants in the contemporary global carbon cycle.
Two gene clusters and their positive regulator SlMYB13 that have undergone domestication-associated negative selection control phenolamide accumulation and drought tolerance in tomato
Authors: Peng Cao, Jun Yang, Jun Yang, Linghao Xia, Zhonghui Zhang, Zeyong Wu et al.
Journal: Molecular Plant · DOI: 10.1016/j.molp.2024.02.003 · Citations: 53
Matched topics: drought
Abstract not available.
Divergent future drought projections in UK river flows and groundwater levels
Authors: Simon Parry, Jonathan Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy et al.
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-417-2024 · Citations: 21
Matched topics: hydrology, hydrologic model, river, runoff, streamflow, water management, drought
Abstract. Hydrological drought is a serious issue globally, which is likely to be amplified by 21st century climate change. In the UK, the impacts of changes in river flow and groundwater drought severity in a future of climate change and higher water demand are potentially severe. Recent publication of a new nationally consistent set of river flow and groundwater level projections (the eFLaG dataset), based on state-of-the-art UKCP18 climate projections, offers a unique opportunity to quanti…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 2 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.
A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods
Authors: Jun Zhu, Pei Dang, Yungang Cao, Jianbo Lai, Yukun Guo, Ping Wang et al.
Journal: International Journal of Geographical Information Systems · DOI: 10.1080/13658816.2024.2306167 · Citations: 76
Matched topics: hydrology, flood
Public’s rational flood mitigation behaviors depend on accurate perception of flood risks. The use of natural language for flood risk perception is an effective approach, and it is critical to ensure the accuracy and comprehensibility of the flood information provided by the system in natural language dialogues. This study presents a framework for large language model (LLM) that is constrained by flood knowledge and can interact with geographic information system (GIS), aimed at enhancing the…
Locally opposite responses of the 2023 Beijing–Tianjin–Hebei extreme rainfall event to global anthropogenic warming
Authors: Dajun Zhao, Hongxiong Xu, Ying Li, Yubin Yu, Yihong Duan, Xiangde Xu et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00584-7 · Citations: 65
Matched topics: land surface model
Abstract The effect of anthropogenic warming on extreme rainfall events is a hot topic in this era of global warming, and increasing attention is being paid to its impact at regional and local scales. We explore the localized response of precipitation during the high-impact “23·7” extreme rainfall event in the Beijing–Tianjin–Hebei region under anthropogenic warming using ensemble convective-permitting simulations. We identify two sub-regions with opposite responses: anthropogenic warming dec…
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.
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Authors: Majid Niazkar, Andrea Menapace, Bruno Brentan, Reza Piraei, David A. Jimenez, Pranav Dhawan et al.
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.105971 · Citations: 302
Matched topics: hydrology, hydrologic model, water management
Abstract not available.
Statistical Modeling of Spatially Stratified Heterogeneous Data
Authors: Jinfeng Wang, Robert Haining, Tonglin Zhang, Chengdong Xu, Maogui Hu, Qian Yin et al.
Journal: Annals of the American Association of Geographers · DOI: 10.1080/24694452.2023.2289982 · Citations: 82
Matched topics: hydrology, land surface model
Spatial statistics is an important methodology for geospatial data analysis. It has evolved to handle spatially autocorrelated data and spatially (locally) heterogeneous data, which aim to capture the first and second laws of geography, respectively. Examples of spatially stratified heterogeneity (SSH) include climatic zones and landuse types. Methods for such data are relatively underdeveloped compared to the first two properties. The presence of SSH is evidence that nature is lawful and str…
Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
Authors: Haizhi Luo, Chenglong Wang, Cangbai Li, Xiangzhao Meng, Xiaohu Yang, Qian Tan
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.122819 · Citations: 83
Matched topics: river
Abstract not available.
Climate-invariant machine learning
Authors: Tom Beucler, Pierre Gentine, Janni Yuval, Ankitesh Gupta, Liran Peng, Jerry Lin et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adj7250 · Citations: 76
Matched topics: land surface model, earth system model
Projecting climate change is a generalization problem: We extrapolate the recent past using physical models across past, present, and future climates. Current climate models require representations of processes that occur at scales smaller than model grid size, which have been the main source of model projection uncertainty. Recent machine learning (ML) algorithms hold promise to improve such process representations but tend to extrapolate poorly to climate regimes that they were not trained …
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Authors: Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, Rocky Talchabhadel
Journal: International Journal of Digital Earth · DOI: 10.1080/17538947.2024.2313857 · Citations: 42
Matched topics: hydrology, river, runoff, flood, land surface model, hydropower, earth system model
Floods pose devastating effects on the resiliency of human and natural systems.flood risk management challenges are typically complicated in the transboundary river basin due to conflicting objectives between multiple countries, lack of systematic approaches to data monitoring and sharing, and limited collaboration in developing a unified system for hazard prediction and communication.An open-source, low-cost modeling framework that integrates open-source data and models can help improve our …
A Novel Runoff Prediction Model Based on Support Vector Machine and Gate Recurrent unit with Secondary Mode Decomposition
Authors: Jinghan Dong, Zhaocai Wang, Tunhua Wu, Xuefei Cui, Renlin Pei
Journal: Water Resources Management · DOI: 10.1007/s11269-024-03748-5 · Citations: 59
Matched topics: hydrology, hydrologic model, runoff
Abstract not available.
IoT-Driven Image Recognition for Microplastic Analysis in Water Systems using Convolutional Neural Networks
Authors: M D Ashfaqul Hasan, K. Balasubadra, G. Vadivel, N. Arunfred, M.V Ishwarya, S. Murugan
Journal: ** · DOI: 10.1109/ic457434.2024.10486490 · Citations: 71
Matched topics: water management
Microplastic pollution in water systems is growing, requiring novel detection and analysis methods. This research presents an Internet of Things (IoT)-driven image identification system using Convolutional Neural Networks (CNNs) to detect and quantify microplastics in water samples. The suggested method is more scalable and responsive due to IoT real-time data capture and remote monitoring of water infrastructure. An innovative CNN architecture for image processing allows the system to accura…
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Authors: Xuefei Cui, Zhaocai Wang, Nannan Xu, Junhao Wu, Zhiyuan Yao
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.105969 · Citations: 47
Matched topics: hydrologic model, water management, surface water
Abstract not available.
Efficient data-driven machine learning models for scour depth predictions at sloping sea defences
Authors: M. A. Habib, Soroush Abolfathi, John O’Sullivan, M. Salauddin
Journal: Frontiers in Built Environment · DOI: 10.3389/fbuil.2024.1343398 · Citations: 52
Matched topics: hydrology
Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas from storm surges, wave overtopping and soil erosion hazards. Scouring at the toe of sea defences, caused by wave-induced accretion and erosion of bed material imposes a significant threat to the structural integrity of coastal infrastructures. Accurate prediction of scour depths is essential for appropriate and efficient design and maintenance of coastal structures, which serve to mitigate risks of s…
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.
Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management
Authors: Karthik Nagarajan, R. Arul, Mohit Bajaj, R. Sitharthan, Shir Ahmad Dost Mohammadi, Vojtěch Blažek
Journal: Scientific Reports · DOI: 10.1038/s41598-024-53688-8 · Citations: 54
Matched topics: hydropower
This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle the intricate real-world challenges of dynamic economic dispatch (DED). These complexities encompass demand-side management (DSM), integration of non-conventional energy sources, and the utilization of pumped-storage hydroelectric units. Acknowledging the variability of solar and wind energy sources and the existence of a pumped-storage hydroelectric system, this study integrates a solar-wind-thermal energy…
Water Management, Irrigation, and Groundwater
Water management research this week spans 4 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.
A triple increase in global river basins with water scarcity due to future pollution
Authors: Mengru Wang, Benjamin Leon Bodirsky, R. Rijneveld, Felicitas Beier, Mirjam P. Bak, Masooma Batool et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-44947-3 · Citations: 405
Matched topics: hydrology, hydrologic model, river, runoff, water management, land surface model, hydropower, earth system model
of basin area and 3 billion more people that may potentially face water scarcity in 2050. Our results stress the urgent need to address water quality in future water management policies for the Sustainable Development Goals.
RETRACTED: Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based techniques
Authors: Sani I. Abba, Mohamed A. Yassin, Syed Muzzamil Hussain Shah, Johnbosco C. Egbueri, Hussam Eldin Elzain, Johnson C. Agbasi et al.
Journal: Environmental Research · DOI: 10.1016/j.envres.2024.118320 · Citations: 88
Matched topics: water management
Abstract not available.
Optimizing the Nitrogen Use Efficiency in Vegetable Crops
Authors: Hector Valenzuela
Journal: Nitrogen · DOI: 10.3390/nitrogen5010008 · Citations: 56
Matched topics: water management
Nitrogen (N) is the most limiting nutrient for the production of vegetable crops, but anthropogenic sources pose risks due to its transformation into several reactive forms and movement throughout the environment. The bulk of the N research to date to improve Nitrogen Use Efficiency (NUE) has followed a reductionist factorial approach focused on synthetic N application rates and crop growth response, under monocultures. The increased adoption of diversified cropping systems, organic N sources…
Superhydrophobic sand evaporator with core-shell structure for long-term salt-resistant solar desalination
Authors: Qingyang Xue, Peng Xiao, Jincui Gu, Wenqin Wang, Luke Yan, Tao Chen
Journal: Water Research · DOI: 10.1016/j.watres.2024.121290 · Citations: 52
Matched topics: water management
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 9 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.
Addressing global environmental pollution using environmental control techniques: a focus on environmental policy and preventive environmental management
Authors: Jonathan Awewomom, Felicia Dzeble, Yaw Doudu Takyi, Winfred Bediakoh Ashie, Emil Nana Yaw Osei Ettey, Patricia Eyram Afua et al.
Journal: Discover Environment · DOI: 10.1007/s44274-024-00033-5 · Citations: 273
Matched topics: hydrology, land surface model, earth system model
Abstract Global environmental pollution presents formidable obstacles to the long-term viability of the planet. This study synthesized current relevant literature with statistical snapshots from pollution statistics and reports and presented feasible recommendations to address the ramifications of global environmental pollution. A central focus is laid on the importance of preventive environmental management (PEM) and the strategic enforcement of environmental policies (EP), with a detailed e…
Flood Detection with SAR: A Review of Techniques and Datasets
Authors: Donato Amitrano, G. D. Martino, A. D. Simone, P. Imperatore
Journal: Remote Sensing · DOI: 10.3390/rs16040656 · Citations: 143
Matched topics: flood
Floods are among the most severe and impacting natural disasters. Their occurrence rate and intensity have been significantly increasing worldwide in the last years due to climate change and urbanization, bringing unprecedented effects on human lives and activities. Hence, providing a prompt response to flooding events is of crucial relevance for humanitarian, social and economic reasons. Satellite remote sensing using synthetic aperture radar (SAR) offers a great deal of support in facing fl…
A radius valley between migrated steam worlds and evaporated rocky cores
Authors: Remo Burn, C. Mordasini, Lokesh Mishra, Jonas Haldemann, J. Venturini, Alexandre Emsenhuber et al.
Journal: Nature Astronomy · DOI: 10.1038/s41550-023-02183-7 · Citations: 93
Matched topics: earth system model
The radius valley (or gap) in the observed distribution of exoplanet radii, which separates smaller super-Earths from larger sub-Neptunes, is a key feature that theoretical models must explain. Conventionally, it is interpreted as the result of the loss of primordial hydrogen and helium (H/He) envelopes atop rocky cores. However, planet formation models predict that water-rich planets migrate from cold regions outside the snowline towards the star. Assuming water to be in the form of solid ic…
Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi’an Region, China
Authors: Xiaokang Liu, Shuai Shao, Shengjun Shao
Journal: Scientific Reports · DOI: 10.1038/s41598-024-53630-y · Citations: 62
Matched topics: hydrology, runoff, land surface model
This study aims to delineate landslide susceptibility maps using the Analytical Hierarchy Process (AHP) method for the Great Xi’an Region, China, which is a key planning project for urban construction in Shaanxi Province, China from 2021 to 2035. Multiple data as elevation, slope, aspect, curvature, river density, soil, lithology, and land use have been considered for delineating the landslide susceptibility maps. Spatially thematic layers and distributed maps of all the aforementioned parame…
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Authors: Taorui Zeng, Liyang Wu, Yuichi S. Hayakawa, Kunlong Yin, Lei Gui, Bijing Jin et al.
Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107436 · Citations: 70
Matched topics: water management
Abstract not available.
The Health of Vineyard Soils: Towards a Sustainable Viticulture
Authors: Fernando Visconti, Roberto López, Miguel Ángel Olego
Journal: Horticulturae · DOI: 10.3390/horticulturae10020154 · Citations: 61
Matched topics: runoff, land surface model
Soil health encompasses the effects the uppermost part of the land have on human wellbeing in a broad sense, because soil is where most food ultimately comes from, and because it more inconspicuously fulfils other ecological functions, as important as feeding, for our planet’s welfare, which is ours. Viticulture exploits the soil’s resources from which wine, its most valuable produce, boasts to obtain some of its unique quality traits, which are wrapped within the terroir concept. However, us…
A comparative analysis of methods and tools for low impact development (LID) site selection
Authors: Khansa Gulshad, Michał Szydłowski, Andaleeb Yaseen, Rana Waqar Aslam
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.120212 · Citations: 61
Matched topics: runoff
The site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision analysis (MCDA), and multi-criteria models and tools, are discuss…
Identifying critical source areas of non-point source pollution to enhance water quality: Integrated SWAT modeling and multi-variable statistical analysis to reveal key variables and thresholds
Authors: Shubo Fang, Matthew J. Deitch, Tesfay Gebretsadkan Gebremicael, Christine Angelini, Collin Ortals
Journal: Water Research · DOI: 10.1016/j.watres.2024.121286 · Citations: 59
Matched topics: water management
Abstract not available.
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Authors: Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, D.P.P. Meddage, Komali Kantamaneni, Upaka Rathnayake
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.130846 · Citations: 53
Matched topics: streamflow
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 1014 |
| After deduplication | 706 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 656 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature Communications | 4 |
| Science Advances | 3 |
| Scientific Reports | 3 |
| Environmental Modelling & Software | 2 |
| Horticulturae | 2 |
| Hydrology and earth system sciences | 2 |
| Water Research | 2 |
| Discover Environment | 1 |
| Nature Climate Change | 1 |
| The Innovation | 1 |
| Nature Reviews Earth & Environment | 1 |
| Remote Sensing | 1 |
| Science | 1 |
| Reviews of Geophysics | 1 |
| Advanced Energy and Sustainability Research | 1 |
| Sustainable Cities and Society | 1 |
| Fire Ecology | 1 |
| Journal of Cleaner Production | 1 |
| Soil Biology and Biochemistry | 1 |
| Nature Astronomy | 1 |
| Environmental Research | 1 |
| Annals of the American Association of Geographers | 1 |
| International Journal of Geographical Information Systems | 1 |
| Applied Energy | 1 |
| Journal of Integrative Plant Biology | 1 |
| International Journal of Digital Earth | 1 |
| Water Resources Management | 1 |
| 1 | |
| Engineering Geology | 1 |
| npj Climate and Atmospheric Science | 1 |
| Journal of Environmental Management | 1 |
| Journal of Geophysical Research: Atmospheres | 1 |
| Plants | 1 |
| Earth system science data | 1 |
| Nitrogen | 1 |
| Climate | 1 |
| Journal of Hydrology | 1 |
| Molecular Plant | 1 |
| Frontiers in Built Environment | 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