Weekly Literature Review
Week 48 · November 25–December 1, 2024
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines River discharge prediction based multivariate climatological variables using hyb, with 95 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
- Innovative Organic Fertilizers and Cover Crops: Perspectives for Sustainable Agriculture in the Era of Climate Change and Organic Agriculture
- Plant Adaptation to Drought Stress: The Role of Anatomical and Morphological Characteristics in Maintaining the Water Status
- Ozone trends and their sensitivity in global megacities under the warming climate
- Identification of climate change hotspots in the Mediterranean
- Soil fungi remain active and invest in storage compounds during drought independent of future climate conditions
- A Novel Heat Pulse Method in Determining “Effective” Thermal Properties in Frozen Soil
- Intersections between climate change and antimicrobial resistance: a systematic scoping review
- Population and Climate Change
- Development and evaluation of organic/metal ion double crosslinking polymer gel for anti-CO2 gas channeling in high temperature and low permeability reservoirs
- Global emergence of regional heatwave hotspots outpaces climate model simulations
- Effects of Alternate Wetting and Drying Irrigation on Methane and Nitrous Oxide Emissions From Rice Fields: A Meta‐Analysis
- The impact of renewable energy on extreme volatility in wholesale electricity prices: Evidence from organisation for economic co-operation and development countries
- Future propagation characteristics of meteorological drought to hydrological drought in the Yellow River basin
- Representation of the terrestrial carbon cycle in CMIP6
- Pollutants in urban runoff: Scientific evidence on toxicity and impacts on freshwater ecosystems
- Natural selection could determine whether Acropora corals persist under expected climate change
- Land-atmosphere feedback exacerbated the mega heatwave and drought over the Yangtze River Basin of China during summer 2022
- Climate change trends in the Southeastern Anatolia region of Türkiye: precipitation and drought
- Effect of arbuscular mycorrhizal fungi on physiological, bio-chemical and yield characters of wheat plants (Triticum aestivum L.) under drought stress conditions
- Climate change and its influence on water systems increases the cost of electricity system decarbonization
- Enhancing global agricultural monitoring system for climate-smart agriculture
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- River discharge prediction based multivariate climatological variables using hybridized long short-term memory with nature inspired algorithm
- Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS
- Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
- A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
- A Smart Irrigation System Using the IoT and Advanced Machine Learning Model
- A probabilistic machine learning framework for daily extreme events forecasting
- Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
- Crystallinity‐Controlled Hexagonal Boron Nitride‐Based Memristors for Fully Integrated Reservoir Computing Processors
- Urban Flood Depth Prediction and Visualization Based on the XGBoost-SHAP Model
- Exploring the performance and interpretability of hybrid hydrologic model coupling physical mechanisms and deep learning
- Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach
- Evaluating the Impact of Recursive Feature Elimination on Machine Learning Models for Predicting Forest Fire-Prone Zones
- Water Management, Irrigation, and Groundwater
- IoT-Enabled Smart Agriculture for Improving Water Management: A Smart Irrigation Control Using Embedded Systems and Server-Sent Events
- Assessment of groundwater challenge and the sustainable management strategies
- Assessing the Impact of Saline Irrigation Water on Durum Wheat (cv. Faraj) Grown on Sandy and Clay Soils
- The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
- Revegetation Impacts on Moisture Recycling and Precipitation Trends in the Chinese Loess Plateau
- Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets
- Multitemporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques
- Transposable element exonization generates a reservoir of evolving and functional protein isoforms
- An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the integration of BA-WQI, AHP-TOPSIS, FL-DWQI, MOORA, and RF methodology
- Coastal Flooding in Asian Megadeltas: Recent Advances, Persistent Challenges, and Call for Actions Amidst Local and Global Changes
- A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River
- Sources and Seasonal Variations of Per- and Polyfluoroalkyl Substances (PFAS) in Surface Snow in the Arctic
- Integrating Water Evaluation and Planning Modeling into Integrated Water Resource Management: Assessing Climate Change Impacts on Future Surface Water Supply in the Irawan Watershed of Puerto Princesa, Philippines
- Microplastics on the Planet: Current Knowledge and Challenges
- Using SWAT and SWAT-CUP for hydrological simulation and uncertainty analysis of the arid and semiarid watersheds (Case study: Zoshk Watershed, Shandiz, Iran)
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 21 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.
Innovative Organic Fertilizers and Cover Crops: Perspectives for Sustainable Agriculture in the Era of Climate Change and Organic Agriculture
Authors: Muhammad Tahir Khan, Jūratė Aleinikovienė, Lina-Marija Butkevičienė
Journal: Agronomy · DOI: 10.3390/agronomy14122871 · Citations: 96
Matched topics: climate change
Anthropogenic activities have resulted in land desertification in various regions of the world, leading to the degradation of critical soil characteristics such as organic matter (OM) content, nutrient stock, and prevailing biodiversity. Restoring such degraded soils through organic matter amendments and diversified crop rotations is thus an intrinsic part of organic farming. This review discusses a wide range of organic farming impacts on soil health and crop productivity by focusing on orga…
Plant Adaptation to Drought Stress: The Role of Anatomical and Morphological Characteristics in Maintaining the Water Status
Authors: S. Zahedi, M. Karimi, A. Venditti, N. Zahra, K. H. Siddique, Muhammad Farooq
Journal: Journal of soil science and plant nutrition · DOI: 10.1007/s42729-024-02141-w · Citations: 90
Matched topics: drought
Abstract not available.
Ozone trends and their sensitivity in global megacities under the warming climate
Authors: Jairo Vázquez Santiago, Hiroo Hata, Edgar J. Martinez-Noriega, Kazuya Inoue
Journal: Nature Communications · DOI: 10.1038/s41467-024-54490-w · Citations: 73
Matched topics: land surface model
will continue to rise as climate change persists.
Identification of climate change hotspots in the Mediterranean
Authors: Georgia Lazoglou, Alexandros Papadopoulos-Zachos, Pantelis Georgiades, George Zittis, Kondylia Velikou, Errikos Michail Manios et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-024-80139-1 · Citations: 72
Matched topics: climate change
The Mediterranean region has long been identified as a climate change hotspot. However, within the Mediterranean, there are smaller sub-areas that exhibit a higher risk of climate change and extremes. Previous research has often focused on indices based on mean climate values, yet extremes are typically more impactful on humans and ecosystems. This study aims to identify the most vulnerable sub-areas of the Mediterranean as climate change hotspots using two indices: the newly introduced Medit…
Soil fungi remain active and invest in storage compounds during drought independent of future climate conditions
Authors: Alberto Canarini, Lucia Fuchslueger, Jörg Schnecker, Dennis Metze, Daniel B. Nelson, Ansgar Kahmen et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-54537-y · Citations: 63
Matched topics: drought
O applied via water-vapor exchange into membrane (and storage) fatty acids or DNA, respectively, to assess community- and group-level adjustments in soil microbial physiology (replication, storage product synthesis, and carbon use efficiency). We show that, while bacterial growth decreases by half during drought, fungal growth remains stable, demonstrating a remarkable resistance against soil moisture changes. In addition, fungal investment into storage triglycerides increases more than five-…
A Novel Heat Pulse Method in Determining “Effective” Thermal Properties in Frozen Soil
Authors: Xiaolong Wu, Ying Zhao
Journal: Water Resources Research · DOI: 10.1029/2024wr037537 · Citations: 62
Matched topics: hydrology
Abstract Accurate and fast measurements of thermal properties are frequently required for characterizing the heat‐water dynamics in frozen soil. Measuring the thermal properties of frozen soil without inducing ice thaw has proven challenging with conventional heat pulse (HP) methods. In this study, based on an Infinite Line Source (ILS) semi‐analytical model that applies a constant temperature lower than the freezing point at the heat source to prevent the initiation of ice thaw in the frozen…
Intersections between climate change and antimicrobial resistance: a systematic scoping review
Authors: Bianca van Bavel, James D. Ford, Kelly Moon, Fredrick Owino Gudda, Alexander J Thornton, Rufus F S Robinson et al.
Journal: The Lancet Planetary Health · DOI: 10.1016/s2542-5196(24)00273-0 · Citations: 62
Matched topics: climate change
Climate change and antimicrobial resistance (AMR) present crucial challenges for the health and wellbeing of people, animals, plants, and ecosystems worldwide, yet the two are largely treated as separate and unrelated challenges. The aim of this systematic scoping Review is to understand the nature of the growing evidence base linking AMR and climate change and to identify knowledge gaps and areas for further research. We conducted a systematic search of the peer-reviewed literature in Scopus…
Population and Climate Change
Authors: Joel E. Cohen
Journal: ** · DOI: 10.4324/9781003291206-9 · Citations: 58
Matched topics: climate change
To review, the four broad dimensions of any complex human problem, including climate change, are the human population, economics, culture, and environment. These dimensions interact with one another in all directions and on many time-scales. From 2010 to 2050, the human population is likely to grow bigger, more slowly, older, and more urban. It is projected that by 2050 more than 2.6 billion people (almost 94% of global urban growth) will be added to the urban population in today’s developing…
Development and evaluation of organic/metal ion double crosslinking polymer gel for anti-CO2 gas channeling in high temperature and low permeability reservoirs
Authors: Hongbin Yang, Haizhuang Jiang, Zhe Xu, Xing Zhang, Tao Wang, Hai‐Ning Liu et al.
Journal: Petroleum Science · DOI: 10.1016/j.petsci.2024.11.016 · Citations: 51
Matched topics: reservoir
CO 2 flooding enhanced oil recovery (CO 2 -EOR) represents a significant technology in the low permeability reservoir. With the fractures and heterogeneity in low permeability reservoirs, CO 2 -EOR is susceptible to pessimistic gas channeling. Consequently, there is a need to develop conformance control materials that can be used in CO 2 -EOR. Herein, to address the challenges of low strength and poor stability of polymer gel in high temperature and low permeability reservoirs, a new organic/…
Global emergence of regional heatwave hotspots outpaces climate model simulations
Authors: Kai Kornhuber, Samuel Bartusek, Richard Seager, Hans Joachim Schellnhuber, Mingfang Ting
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2411258121 · Citations: 51
Matched topics: land surface model
Multiple recent record-shattering weather events raise questions about the adequacy of climate models to effectively predict and prepare for unprecedented climate impacts on human life, infrastructure, and ecosystems. Here, we show that extreme heat in several regions globally is increasing significantly and faster in magnitude than what state-of-the-art climate models have predicted under present warming even after accounting for their regional summer background warming. Across all global la…
Effects of Alternate Wetting and Drying Irrigation on Methane and Nitrous Oxide Emissions From Rice Fields: A Meta‐Analysis
Authors: Chenxi Zhao, Rangjian Qiu, Tao Zhang, Yufeng Luo, Evgenios Agathokleous
Journal: Global Change Biology · DOI: 10.1111/gcb.17581 · Citations: 50
Matched topics: irrigation
Reducing water input and promoting water productivity in rice field under alternate wetting and drying irrigation (AWD), instead of continuous flooding (CF), are vital due to increasing irrigation water scarcity. However, it is also important to understand how methane (CH4) and nitrous oxide (N2O) emissions and global warming potential ( GWPCH4+N2O\({\mathrm{GWP}}__4+{\mathrm{N}}_2\mathrm{O}}\) of CH4 and N2O) respond to AWD under the influence of various factors. Here, we con…
The impact of renewable energy on extreme volatility in wholesale electricity prices: Evidence from organisation for economic co-operation and development countries
Authors: Guanghao Wang, Erwann Sbaï, Le Wen, Mingyue Selena Sheng
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2024.144343 · Citations: 42
Matched topics: hydropower
As global climate change intensifies, the Paris Agreement aims to limit global temperature increases to within 2 °C above pre-industrial levels, with efforts to limit the increase to 1.5 °C. A key strategy to achieve this goal is accelerating the transition of the power grid to renewable energy sources. This study uses annual data and constructs annual extreme positive and negative wholesale electricity price fluctuations from daily weighted wholesale electricity spot prices. It examines the …
Future propagation characteristics of meteorological drought to hydrological drought in the Yellow River basin
Authors: Xiao Huang, Xiaoli Yang, Fan Wu, Jiale Zhang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132443 · Citations: 25
Matched topics: hydrologic model, river, drought
Abstract not available.
Representation of the terrestrial carbon cycle in CMIP6
Authors: Bettina K. Gier, Manuel Schlund, Pierre Friedlingstein, Chris Jones, Colin Jones, Sönke Zaehle et al.
Journal: Biogeosciences · DOI: 10.5194/bg-21-5321-2024 · Citations: 27
Matched topics: hydrology, earth system model
Abstract. Simulation of the carbon cycle in climate models is important due to its impact on climate change, but many weaknesses in its reproduction were found in previous models. Improvements in the representation of the land carbon cycle in Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) include the interactive treatment of both the carbon and nitrogen cycles, improved photosynthesis, and soil hydrology. To assess the impact of these mod…
Pollutants in urban runoff: Scientific evidence on toxicity and impacts on freshwater ecosystems
Authors: Lucia-Roxana Cojoc, Núria De Castro-Català, Ioar de Guzmán, Julene González, Maite Arroita, Neus Besolí-Mestres et al.
Journal: Chemosphere · DOI: 10.1016/j.chemosphere.2024.143806 · Citations: 24
Matched topics: hydrologic model, runoff
Urban runoff effluents transport multiple pollutants collected from urban surfaces. which ultimately reach freshwater ecosystems. We here collect the existing scientific evidence on the urban runoff impacts on aquatic organisms and ecosystem functions, assessed the potential toxicity of the most common pollutants present in urban runoff, and characterized the ecotoxicological risk for freshwaters. We used the Toxic Units models to estimate the toxicity of individual chemicals to freshwater bi…
Natural selection could determine whether Acropora corals persist under expected climate change
Authors: Liam Lachs, Yves‐Marie Bozec, John C. Bythell, Simon D. Donner, Holly K. East, Alasdair J. Edwards et al.
Journal: Science · DOI: 10.1126/science.adl6480 · Citations: 31
Matched topics: climate change
, an ecologically important yet thermally sensitive coral taxon. We found that, although corals have some adaptation capacity, they will suffer severe heatwave-induced declines over the coming decades. For a future in which emissions lead to ~3°C of global warming, natural selection could allow populations to persist, albeit in severely depleted states with elevated extinction risk and potential loss of ecosystem functioning. Yet, for thermally sensitive coral populations to thrive beyond 205…
Land-atmosphere feedback exacerbated the mega heatwave and drought over the Yangtze River Basin of China during summer 2022
Authors: Xiao Chen, Jialin Wang, Feifei Pan, Song Yu, Ju Liang, Na Huang et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2024.110321 · Citations: 24
Matched topics: river, drought
Abstract not available.
Climate change trends in the Southeastern Anatolia region of Türkiye: precipitation and drought
Authors: Veysi Kartal, Veysel Süleyman Yavuz, Sema Arıman, Kübra Kaya, Safa Alkanjo, Oğuz Şimşek
Journal: Journal of Water and Climate Change · DOI: 10.2166/wcc.2024.503 · Citations: 18
Matched topics: streamflow, drought, climate change
ABSTRACT Drought, earthquake, flood, and fire are disasters whose effects occur after a more extended period than other disasters. Meteorological drought is called the beginning of drought types. In this study, trend analyses and temporal changes in temperature, precipitation, and drought index values were carried out between 1981 and 2022 at three meteorological observation stations in the Southeastern Anatolia region of Türkiye. Standardized Precipitation Index, Standardized Precipitation E…
Effect of arbuscular mycorrhizal fungi on physiological, bio-chemical and yield characters of wheat plants (Triticum aestivum L.) under drought stress conditions
Authors: Khaled Abdelaal, Abdulaziz A. Al–Askar, Yaser Hafez
Journal: BMC Plant Biology · DOI: 10.1186/s12870-024-05824-9 · Citations: 27
Matched topics: drought
), electrolyte leakage (EL%) and lipid peroxidation (MDA) levels in the drought stressed wheat plants. Eventually, application of AMF as ecofriendly approach can improve wheat growth and grain yield of wheat plants by mitigating the adverse effects of drought stress. These results provide evidence for the important role of AMF in agricultural production and maximizing wheat grain yield.
Climate change and its influence on water systems increases the cost of electricity system decarbonization
Authors: Julia Szinai, David Yates, Pedro Andres Sanchez Perez, Martin Staadecker, Daniel M. Kammen, Andrew D. Jones et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-54162-9 · Citations: 17
Matched topics: streamflow, climate change, hydropower
The electric sector simultaneously faces two challenges: decarbonization to mitigate, and adaptation to manage, the impacts of climate change. In many regions, these challenges are compounded by an interdependence of electricity and water systems, with water needed for hydropower generation and electricity for water provision. Here, we couple detailed water and electricity system models to evaluate how the Western Interconnection grid can both adapt to climate change and develop carbon-free g…
Enhancing global agricultural monitoring system for climate-smart agriculture
Authors: Le Yu, Zhenrong Du, Xiyu Li, Jinhui Zheng, Qiang Zhao, Hui Wu et al.
Journal: Climate smart agriculture. · DOI: 10.1016/j.csag.2024.100037 · Citations: 26
Matched topics: earth system model
Global agricultural monitoring systems face unprecedented challenges due to intensifying climate change. This paper reviews the advancements in existing global agricultural monitoring systems, highlighting deficiencies in addressing extreme weather events, data integration, and real-time analysis. To overcome these limitations, we introduce the Earth System Model-Coupled Global Agricultural Monitoring System (ESM-GAMS), an advanced framework that combines satellite and near-surface remote sen…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 1 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.
Flooding is Not Like Filling a Bath
Authors: Brett F. Sanders, Oliver Wing, Paul Bates
Journal: Earth s Future · DOI: 10.1029/2024ef005164 · Citations: 35
Matched topics: hydrology, streamflow, flood
Abstract Damage and disruption from flooding have rapidly escalated over recent decades. Knowing who and what is at risk, how these risks are changing, and what is driving these changes is of immense importance to flood management and policy. Accurate predictions of flood risk are also critical to public safety. However, many high‐profile research studies reporting risks at national and global scales rely upon a significant oversimplification of how floods behave—as a level pool—an approach k…
Machine Learning and AI for Hydrological Prediction
This week’s 12 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
River discharge prediction based multivariate climatological variables using hybridized long short-term memory with nature inspired algorithm
Authors: Sandeep Samantaray, Abinash Sahoo, Zaher Mundher Yaseen, Mohammad Al-Suwaiyan
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132453 · Citations: 95
Matched topics: hydrologic model, river
Abstract not available.
Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS
Authors: Dongliang Wang, Yikun Nie, Gaolei Hu, Hon Ki Tsang, Chaoran Huang
Journal: Nature Communications · DOI: 10.1038/s41467-024-55172-3 · Citations: 72
Matched topics: reservoir
Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. This work proposes a streamlined photonic RC design based on a new paradigm, called next-generation RC, which overcomes these limitations. Our design leads to a compact silicon photonic computing engine with an experimentally d…
Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting
Authors: Arvin Samadi-Koucheksaraee, X. Chu
Journal: Scientific Reports · DOI: 10.1038/s41598-024-81779-z · Citations: 67
Matched topics: streamflow
A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for hydrological prediction; however, they still face certain drawbacks, such as the need to optimize the appropriate predictors, the ability of the models to generalize across different time horizons, and the analysis of high-dimensional time series. This research aims to address these specific drawbac…
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Authors: Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, Amirhossein Danesh
Journal: Water Resources Management · DOI: 10.1007/s11269-024-04052-y · Citations: 25
Matched topics: hydrologic model, river, streamflow
Abstract not available.
A Smart Irrigation System Using the IoT and Advanced Machine Learning Model
Authors: Ponugoti Kalpana, L. Smitha, Dasari Madhavi, Shaik Abdul Nabi, G. Kalpana, Sarangam Kodati
Journal: International Journal of Computational and Experimental Science and Engineering · DOI: 10.22399/ijcesen.526 · Citations: 32
Matched topics: irrigation
The rapid advancement of IoT (Internet of Things) technologies and sophisticated machine learning models is driving innovation in irrigation systems, laying the foundation for more effective and eco-friendly smart agricultural procedures. This systematic literature review strives to uncover the advancements and challenges in the advancement and implementation of IoT-based smart irrigation systems integrated with advanced machine learning techniques. By analyzing 43 relevant studies published …
A probabilistic machine learning framework for daily extreme events forecasting
Authors: A. Sattari, Ehsan Foroumandi, Keyhan Gavahi, Hamid Moradkhani
Journal: Expert Systems with Applications · DOI: 10.1016/j.eswa.2024.126004 · Citations: 25
Matched topics: hydrologic model, runoff, streamflow
Abstract not available.
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Authors: Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, Erlon Cristian Finardi, Leandro dos Santos Coelho, Viviana Cocco Mariani
Journal: Energy · DOI: 10.1016/j.energy.2024.133918 · Citations: 32
Matched topics: hydrologic model
Abstract not available.
Crystallinity‐Controlled Hexagonal Boron Nitride‐Based Memristors for Fully Integrated Reservoir Computing Processors
Authors: Wonbae Ahn, Sejin Lee, Jungyeop Oh, Hyeonji Lee, Sung‐Yool Choi
Journal: Advanced Materials · DOI: 10.1002/adma.202413640 · Citations: 30
Matched topics: reservoir
= 0.656). By integrating NC h-BN and a-BN memristors in three dimensions, an efficient reservoir computing processor with integrated reservoir and readout layers is realized. Overall, the neural network of the integrated processor shows high accuracy for inferring temporal data. Hence, the crystallinity-controlled hexagonal boron nitride synthesis method paves the way for the realization of fully integrated reservoir computing processors.
Urban Flood Depth Prediction and Visualization Based on the XGBoost-SHAP Model
Authors: Yuan Liu, Hongfa Wang, Xinjian Guan, Yu Meng, Hongshi Xu
Journal: Water Resources Management · DOI: 10.1007/s11269-024-04020-6 · Citations: 30
Matched topics: flood
Abstract not available.
Exploring the performance and interpretability of hybrid hydrologic model coupling physical mechanisms and deep learning
Authors: Miao He, Shanhu Jiang, Liliang Ren, Hao Cui, Shu-Li Du, Yongwei Zhu et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132440 · Citations: 26
Matched topics: hydrologic model
Abstract not available.
Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach
Authors: Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary
Journal: Remote Sensing · DOI: 10.3390/rs16234454 · Citations: 26
Matched topics: flood
Flooding is one of the most severe natural hazards, causing widespread environmental, economic, and social disruption. If not managed properly, it can lead to human losses, property damage, and the destruction of livelihoods. The ability to rapidly assess such damages is crucial for emergency management. Near Real-Time (NRT) spatial information on flood-affected areas, obtained via remote sensing, is essential for disaster response, relief, urban and industrial reconstruction, insurance servi…
Evaluating the Impact of Recursive Feature Elimination on Machine Learning Models for Predicting Forest Fire-Prone Zones
Authors: Ali Rezaei Barzani, Parham Pahlavani, Omid Ghorbanzadeh, Khalil Gholamnia, Pedram Ghamisi
Journal: Fire · DOI: 10.3390/fire7120440 · Citations: 25
Matched topics: hydrology
This study aimed to enhance the accuracy of forest fire susceptibility mapping (FSM) by innovatively applying recursive feature elimination (RFE) with an ensemble of machine learning models, specifically Support Vector Machine (SVM) and Random Forest (RF), to identify key fire factors. The fire zones were derived from MODIS satellite imagery from 2012 to 2017. Further validation of these data has been provided by field surveys and reviews of land records in rangelands and forests; a total of …
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.
IoT-Enabled Smart Agriculture for Improving Water Management: A Smart Irrigation Control Using Embedded Systems and Server-Sent Events
Authors: Abdennabi Morchid, B. Et-taibi, Zahra Oughannou, R. E. Alami, Hassan Qjidaa, Mohammed Ouazzani Jamil et al.
Journal: Scientific African · DOI: 10.1016/j.sciaf.2024.e02527 · Citations: 71
Matched topics: water management, irrigation
Abstract not available.
Assessment of groundwater challenge and the sustainable management strategies
Authors: Joseph Omeiza Alao, Avila Bello, Hussiani Lawal, Damilola M. Abdullahi
Journal: Results in Earth Sciences · DOI: 10.1016/j.rines.2024.100049 · Citations: 38
Matched topics: surface water
Groundwater is an essential resource, particularly in arid and semi-arid regions where surface water is scarce. The increasing global demand for water, coupled with climate change and pollution, has posed significant challenges to the sustainable management of groundwater. The water distribution pattern is not unconnected with the territorial and geographical strategies for national development. Therefore, securing the water future requires special treatment with mechanical concepts, technica…
Assessing the Impact of Saline Irrigation Water on Durum Wheat (cv. Faraj) Grown on Sandy and Clay Soils
Authors: Khadija Manhou, Rachid Moussadek, Hasna Yachou, Abdelmjid Zouahri, Ahmed Douaik, Ismail Hilal et al.
Journal: Agronomy · DOI: 10.3390/agronomy14122865 · Citations: 34
Matched topics: irrigation
In Morocco, saline irrigation significantly affects soil quality and reduces crop yields. This study evaluates the effect of salt stress on soil properties and the overall performance of the durum wheat variety “Faraj”, aiming to optimize production under saline conditions. A greenhouse experiment was conducted during the 2023–2024 season, using a completely randomized design (CRD) to assess soil properties, plant growth, and yield. Five salinity levels (0.2, 4, 8, 12, and 16 dS m−1) were app…
The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
Authors: Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Abdullah Nadeem
Journal: Discover Water · DOI: 10.1007/s43832-024-00173-y · Citations: 23
Matched topics: hydrology, hydrologic model, streamflow
Artificial Intelligence (AI), including models like ChatGPT, is transforming water resources management by improving hydrological modeling, water quality assessment, and flood prediction. AI techniques such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have enhanced streamflow predictions and groundwater management, particularly in data-scarce regions. AI-powered systems like Smart Microclimate Control Systems (SMCS) optimize agricultural practices, leading to better…
Revegetation Impacts on Moisture Recycling and Precipitation Trends in the Chinese Loess Plateau
Authors: Mingzhu Cao, Weiguang Wang, Jia Wei, Giovanni Forzieri, Ingo Fetzer, Lan Wang‐Erlandsson
Journal: Water Resources Research · DOI: 10.1029/2024wr038199 · Citations: 26
Matched topics: hydrology, hydrologic model
Abstract The Loess Plateau in China has experienced a remarkable greening trend due to vegetation restoration efforts in recent decades. However, the response of precipitation to this greening remains uncertain. In this study, we identified and evaluated the main moisture source regions for precipitation over the Loess Plateau from 1982 to 2019 using a moisture tracking model, the modified WAM‐2layers model, and the conceptual framework of the precipitationshed. By integrating multiple linear…
Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment
Authors: Md. Touhidul Islam, AKASH, Mst Rokeya Khatun, Nusrat Jahan, Md. Touhidul Islam, DEBONEEL KUNDU PARTHO et al.
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103667 · Citations: 18
Matched topics: river, water management, irrigation
• Novel region-specific IWQI developed using 14 parameters for comprehensive assessment • Proposed IWQI revealed the river’s suitability for year-round irrigation with minor risks • Multivariate analysis revealed distinct spatial clusters and key water quality drivers • Seasonal variations in hydrochemical interactions highlight need for adaptive management • Integration of GIS and statistics enhances understanding of irrigation water quality Ensuring sustainable irrigation water quality is v…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 10 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.
Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets
Authors: Susan C. Anenberg
Journal: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · DOI: 10.1016/s2542-5196%2821%2900255-2 · Citations: 71
Matched topics: land surface model
Combustion-related nitrogen dioxide (NO2) air pollution is associated with paediatric asthma incidence. We aimed to estimate global surface NO2 concentrations consistent with the Global Burden of Disease study for 1990-2019 at a 1 km resolution, and the concentrations and attributable paediatric asthma incidence trends in 13 189 cities from 2000 to 2019. We scaled an existing annual average NO2 concentration dataset for 2010-12 from a land use regression model (based on 5220 NO2 monitors in 5…
Multitemporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques
Authors: Hao Zhang, Muhammad Haseeb, Zheng Xiangtian, Zainab Tahir, Syed Amer Mahmood, Aqil Tariq et al.
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · DOI: 10.1109/jstars.2024.3509133 · Citations: 54
Matched topics: land surface model
Rapid urbanization in Lahore, Pakistan, has led to significant ecological and thermal challenges, particularly the intensification of urban heat island (UHI) effects and increased thermal stress as measured by the urban thermal field variance index (UTFVI). This study employs a multitemporal evaluation of Landsat satellite imagery and GIS-based analysis to investigate the spatio-temporal trends in land-use and land-cover changes from 1994 to 2024. We detected substantial changes in urban grow…
Transposable element exonization generates a reservoir of evolving and functional protein isoforms
Authors: Yago A. Arribas, Blandine Baudon, Maxime Rotival, Guadalupe Suárez, Pierre‐Emmanuel Bonté, Vanessa Casas et al.
Journal: Cell · DOI: 10.1016/j.cell.2024.11.011 · Citations: 39
Matched topics: reservoir
Alternative splicing enhances protein diversity in different ways, including through exonization of transposable elements (TEs). Recent transcriptomic analyses identified thousands of unannotated spliced transcripts with exonizing TEs, but their contribution to the proteome and biological relevance remains unclear. Here, we use transcriptome assembly, ribosome profiling, and proteomics to describe a population of 1,227 unannotated TE exonizing isoforms generated by mRNA splicing and recurrent…
An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the integration of BA-WQI, AHP-TOPSIS, FL-DWQI, MOORA, and RF methodology
Authors: Abhijeet Das
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02326-9 · Citations: 26
Matched topics: river, runoff, surface water
Abstract Water is essential for life, as it supports bodily functions, nourishes crops, and maintains ecosystems. Drinking water is crucial for maintaining good health and can also contribute to economic development by reducing health-care costs and improving productivity. The present study evaluated the surface water quality of Mahanadi River (Odisha, India). Hence, to evaluate the hydro-chemical processes, sources of contamination, and water quality, a methodical examination was conducted u…
Coastal Flooding in Asian Megadeltas: Recent Advances, Persistent Challenges, and Call for Actions Amidst Local and Global Changes
Authors: M. Becker, Katharina Seeger, Amelie Paszkowski, Marta Marcos, Fabrice Papa, Rafaël Almar et al.
Journal: Reviews of Geophysics · DOI: 10.1029/2024rg000846 · Citations: 31
Matched topics: hydrology, flood
Abstract Asian megadeltas, specifically the Ganges‐Brahmaputra‐Meghna, Irrawaddy, Chao Phraya, Mekong, and Red River deltas host half of the world’s deltaic population and are vital for Asian countries’ ecosystems and food production. These deltas are extremely vulnerable to global change. Accelerating relative sea‐level rise, combined with rapid socio‐economic development intensifies these vulnerabilities and calls for a comprehensive understanding of current and future coastal flood dynamic…
A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River
Authors: Hucheng Li, Jianjun Chen, Ming Ling, Zizhen Chen, Yanping Lan, Qinyi Huang et al.
Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102928 · Citations: 33
Matched topics: river
Understanding the spatiotemporal patterns and key drivers of soil erosion in alpine grassland regions is crucial for developing effective conservation and restoration strategies in ecologically vulnerable areas. This study focuses on the source region of the Yellow River (SRYR). It evaluated the spatiotemporal trends of soil erosion intensity, as well as identified erosion-prone areas, by combining the Sediment Delivery Ratio (SDR) model and the Revised Universal Soil Loss Equation (RUSLE). T…
Sources and Seasonal Variations of Per- and Polyfluoroalkyl Substances (PFAS) in Surface Snow in the Arctic
Authors: William Hartz, Maria K. Björnsdotter, Leo W. Y. Yeung, Jack D. Humby, Sabine Eckhardt, Nikolaos Evangeliou et al.
Journal: Environmental Science & Technology · DOI: 10.1021/acs.est.4c08854 · Citations: 33
Matched topics: seasonal
PFCAs, PFOS and HFPO-DA (GenX) were 7.6-71 times higher during 24 h daylight. These PFAS all positively correlated with solar flux. Together this suggests seasonal light is important to enable photochemistry for their atmospheric formation and subsequent deposition in the Arctic. This study provides the first evidence for the possible atmospheric formation of PFOS and GenX from precursors.
Integrating Water Evaluation and Planning Modeling into Integrated Water Resource Management: Assessing Climate Change Impacts on Future Surface Water Supply in the Irawan Watershed of Puerto Princesa, Philippines
Authors: Jennifer C. Cacal, Muhammad Shafqat Mehboob, Ernie Nograles Bañares
Journal: Earth · DOI: 10.3390/earth5040047 · Citations: 9
Matched topics: hydrologic model, streamflow, water management, land surface model, surface water
The Irawan Watershed in Puerto Princesa, Philippines, is an important resource that supports domestic, agricultural, and industrial water needs. This study applies the Water Evaluation and Planning (WEAP) model to project the impacts of climate change on future surface water availability, integrating the findings into an Integrated Water Resource Management (IWRM) framework. Using bias-corrected General Circulation Models (GCMs) under four shared socioeconomic pathways (SSPs), this study exam…
Microplastics on the Planet: Current Knowledge and Challenges
Authors: Lian‐Jun Bao, Lei Mai, Liang‐Ying Liu, Xiangfei Sun, Eddy Y. Zeng
Journal: Environmental Science & Technology Letters · DOI: 10.1021/acs.estlett.4c00603 · Citations: 28
Matched topics: runoff
Microplastic (MP) pollution has become a global issue, attracting attention from stakeholders around the globe. Knowledge of MPs has been substantially advanced in recent years. Newly developed analytical technologies allow better characterization of MPs, but characterizing nanosized plastic particles remains challenging. Transport of plastic debris from land to oceans is a key driver for marine plastic pollution, and the relative contributions from riverine runoff and atmospheric deposition …
Using SWAT and SWAT-CUP for hydrological simulation and uncertainty analysis of the arid and semiarid watersheds (Case study: Zoshk Watershed, Shandiz, Iran)
Authors: Mohammad Reza Khaleghi, Seyed Hashem Hosseini
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02327-8 · Citations: 16
Matched topics: hydrologic model, runoff, streamflow
The aims of this study are capability assessment of the SWAT model and SWAT-CUP software in hydrological simulation and evaluation of uncertainty of SWAT model in estimating runoff. In the modeling process, the basin was divided into 12 sub-basins and 294 hydrological units (HRUs). Model calibration and uncertainty analysis were performed using the sequential uncertainty fitting (SUFI2) algorithm for 2000–2006 and 2007–2010, respectively. Based on the sensitivity analysis results, the paramet…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 925 |
| After deduplication | 719 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 669 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature Communications | 4 |
| Journal of Hydrology | 3 |
| Agronomy | 2 |
| Scientific Reports | 2 |
| Water Resources Research | 2 |
| Applied Water Science | 2 |
| Water Resources Management | 2 |
| Journal of soil science and plant nutrition | 1 |
| Scientific African | 1 |
| OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) | 1 |
| The Lancet Planetary Health | 1 |
| 1 | |
| IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 1 |
| Petroleum Science | 1 |
| Proceedings of the National Academy of Sciences | 1 |
| Global Change Biology | 1 |
| Earth s Future | 1 |
| Journal of Cleaner Production | 1 |
| Cell | 1 |
| Results in Earth Sciences | 1 |
| Reviews of Geophysics | 1 |
| International Journal of Computational and Experimental Science and Engineering | 1 |
| Expert Systems with Applications | 1 |
| Ecological Informatics | 1 |
| Environmental Science & Technology | 1 |
| Discover Water | 1 |
| Energy | 1 |
| Biogeosciences | 1 |
| Chemosphere | 1 |
| Science | 1 |
| Advanced Materials | 1 |
| Agricultural and Forest Meteorology | 1 |
| Earth | 1 |
| Environmental Science & Technology Letters | 1 |
| Results in Engineering | 1 |
| Journal of Water and Climate Change | 1 |
| BMC Plant Biology | 1 |
| Remote Sensing | 1 |
| Climate smart agriculture. | 1 |
| Fire | 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