Weekly Literature Review
Week 29 · July 17–July 23, 2023
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Con, with 1323 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
- IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland.
- AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
- Drought stress in rice: morpho-physiological and molecular responses and marker-assisted breeding
- The synergy effect through combination of the digital economy and transition to renewable energy on green economic growth: Empirical study of 18 Latin American and caribbean countries
- Nano‐enabled stress‐smart agriculture: Can nanotechnology deliver drought and salinity‐smart crops?
- Biochar application in remediating salt-affected soil to achieve carbon neutrality and abate climate change
- Widespread Permafrost Degradation and Thaw Subsidence in Northwest Canada
- IPCC, 2023: Annex II: Acronyms, Chemical Symbols and Scientific Units [Fischlin, A., Y. Jung, N. Leprince-Ringuet, C. Ludden, C. Péan, J. Romero (eds.)]. In: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland
- From believing in climate change to adapting to climate change: The role of risk perception and efficacy beliefs
- Drought Alleviates the Negative Effects of Microplastics on Soil Micro-Food Web Complexity and Stability
- Integrated drought vulnerability and risk assessment for future scenarios: An indicator based analysis
- Soil moisture dominates the variation of gross primary productivity during hot drought in drylands
- The burden of bad news: educators’ experiences of navigating climate change education
- A future of extreme precipitation and droughts in the Peruvian Andes
- Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change
- Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections
- Adaptation of cotton production to climate change by sowing date optimization and precision resource management
- Insights from CMIP6 SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin
- Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks
- Towards scenario representation of adaptive capacity for global climate change assessments
- Flood Risk Assessment and Extreme Precipitation
- Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data
- Impact of different industrial activities on heavy metals in floodplain soil and ecological risk assessment based on bioavailability: A case study from the Middle Yellow River Basin, northern China
- Urban flood risk assessment using AHP and geospatial techniques in swat Pakistan
- Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
- How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?
- Spontaneous volunteers and the flood disaster 2021 in Germany: Development of social innovations in flood risk management
- Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models
- Flood Vulnerability Models and Household Flood Damage Mitigation Measures: An Econometric Analysis of Survey Data
- Machine Learning and AI for Hydrological Prediction
- Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
- A deep learning-based framework for multi-source precipitation fusion
- A Novel Bio-Inspired Optimization Algorithm Design for Wind Power Engineering Applications Time-Series Forecasting
- A new approach to seasonal energy consumption forecasting using temporal convolutional networks
- Explainable machine learning for the prediction and assessment of complex drought impacts
- Water Management, Irrigation, and Groundwater
- The nexus between agricultural land use, urbanization, and greenhouse gas emissions: Novel implications from different stages of income levels
- A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor
- Mapping of groundwater potential zones by integrating remote sensing, geophysics, GIS, and AHP in a hard rock terrain
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- The global wildland–urban interface
- Google Earth Engine: A Global Analysis and Future Trends
- The latent reservoir of inducible, infectious HIV-1 does not decrease despite decades of antiretroviral therapy
- Characterization of the spontaneously recharging natural hydrogen reservoirs of Bourakebougou in Mali
- Platform-independent and curriculum-oriented intelligent assistant for higher education
- Drivers of accelerated warming in Mediterranean climate-type regions
- Microplastics as heavy metal vectors in the freshwater environment: Distribution, variations, sources and health risk
- Occurrence and prevalence of antibiotics in wastewater treatment plants and effluent receiving rivers in South Africa using UHPLC-MS determination
- Experimental study on characteristics of water imbibition and ion diffusion in shale reservoirs
- HESS Opinions: Are soils overrated in hydrology?
- Assessing hydrological and water quality responses to dynamic landuse change at watershed scale in Mississippi
- Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series - The TIMELINE NDVI Product
- Study on the spatial–temporal evolution and driving mechanism of urban land green use efficiency in the Yellow River Basin cities
- Remote sensing identification of urban water pollution source types using hyperspectral data
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 20 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.
IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland.
Authors: Katherine Calvin, Dipak Dasgupta, Gerhard Krinner, Aditi Mukherji, Peter Thorne, Christopher H. Trisos et al.
Journal: ** · DOI: 10.59327/ipcc/ar6-9789291691647.001 · Citations: 1323
Matched topics: water management, land surface model, climate change, hydropower, earth system model
The Summary for Policymakers (SPM) of the Synthesis Report (SYR) of the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC), is a component of the SYR which provides a policy-relevant but policy-neutral summary of the SYR. It is consistent with the Sections of the SYR and is approved line by line by the Governments at a plenary session of the Intergovernmental Panel on Climate Change.
AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
Authors: Harshita Jain, Renu Dhupper, Anamika Shrivastava, Deepak Kumar, Maya Kumari
Journal: Computational Urban Science · DOI: 10.1007/s43762-023-00100-2 · Citations: 109
Matched topics: hydrology, streamflow, climate change
Abstract Climate change is one of the most pressing global challenges we face today. The impacts of rising temperatures, sea levels, and extreme weather events are already being felt around the world and are only expected to worsen in the coming years. To mitigate and adapt to these impacts, we need innovative, data-driven solutions. Artificial intelligence (AI) has emerged as a promising tool for climate change adaptation, offering a range of capabilities that can help identify vulnerable ar…
Drought stress in rice: morpho-physiological and molecular responses and marker-assisted breeding
Authors: M. A. Hassan, Ni Dahu, H. Tong, Zhu Qian, Yue-Neng Yi, L. Yiru et al.
Journal: Frontiers in Plant Science · DOI: 10.3389/fpls.2023.1215371 · Citations: 107
Matched topics: drought
Rice (Oryza Sativa L.) is an essential constituent of the global food chain. Drought stress significantly diminished its productivity and threatened global food security. This review concisely discussed how drought stress negatively influenced the rice’s optimal growth cycle and altered its morpho-physiological, biochemical, and molecular responses. To withstand adverse drought conditions, plants activate their inherent drought resistance mechanism (escape, avoidance, tolerance, and recovery)…
The synergy effect through combination of the digital economy and transition to renewable energy on green economic growth: Empirical study of 18 Latin American and caribbean countries
Authors: Young Kyu Hwang
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2023.138146 · Citations: 100
Matched topics: hydropower
Tremendous effects on the global economy in terms of economic, social and environmental costs remind us of the catastrophic consequences of climate change and global warming caused by CO2 emissions. Therefore, accelerating decarbonization of the global energy system should be put in place to curb large amount of CO2 emission from hydrocarbon energy sources on which the current global value chain of production heavily relies.This study focuses on analyzing the effects of renewable energy trans…
Nano‐enabled stress‐smart agriculture: Can nanotechnology deliver drought and salinity‐smart crops?
Authors: Ali Raza, Sidra Charagh, Hajar Salehi, Saghir Abbas, Faisal Saeed, Gérrard Eddy Jai Poinern et al.
Journal: Journal of Sustainable Agriculture and Environment · DOI: 10.1002/sae2.12061 · Citations: 82
Matched topics: drought
Abstract Salinity and drought stress substantially decrease crop yield and superiority, directly threatening the food supply needed to meet the rising food needs of the growing total population. Nanotechnology is a step towards improving agricultural output and stress tolerance by improving the efficacy of inputs in agriculture via targeted delivery, controlled release, and enhanced solubility and adhesion while also reducing significant damage. The direct application of nanoparticles (NPs)/n…
Biochar application in remediating salt-affected soil to achieve carbon neutrality and abate climate change
Authors: Qiang Liu, Kudakwashe Meki, Hao Zheng, Yanfei Yuan, Mengying Shao, Xianxiang Luo et al.
Journal: Biochar · DOI: 10.1007/s42773-023-00244-8 · Citations: 82
Matched topics: climate change
Abstract Salt-affected soils urgently need to be remediated to achieve the goals of carbon neutrality and food security. Limited reviews are available on biochar performance in remediating salt-affected soils in the context of carbon neutrality and climate change mitigation. This work summarized the two pathways to achieve carbon neutrality during remediating salt-affected soils using biochars, i.e., biochar production from sustainable feedstock using thermal technologies, application for pro…
Widespread Permafrost Degradation and Thaw Subsidence in Northwest Canada
Authors: H B O’Neill, Sharon L. Smith, C. R. Burn, C Duchesne, Yu Zhang
Journal: Journal of Geophysical Research Earth Surface · DOI: 10.1029/2023jf007262 · Citations: 69
Matched topics: land surface model, earth system model
Abstract Long‐term (1991–2018) thaw tube measurements highlight widespread permafrost thaw and ground surface (GS) subsidence over a large portion of northwest Canada. Statistically significant positive trends in thaw penetration (TP), measured with respect to a fixed datum, were observed at 18 of 28 sites with data that span three decades at a median rate of 0.8 cm a −1 . This rate implies thawing of about 22 cm of permafrost over the study period. Similarly significant trends in GS subsiden…
IPCC, 2023: Annex II: Acronyms, Chemical Symbols and Scientific Units [Fischlin, A., Y. Jung, N. Leprince-Ringuet, C. Ludden, C. Péan, J. Romero (eds.)]. In: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland
Authors: Clotilde Péan, José Romero
Journal: ** · DOI: 10.59327/ipcc/ar6-9789291691647.003 · Citations: 73
Matched topics: climate change
The Acronyms of the Synthesis Report (SYR) of the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC), is an annex of the SYR which provides explanations on relevant acronyms, chemical symbols and scientific units used in the SYR. The Acronyms is consistent with the acronyms of the three reports of the Working Groups of the IPCC during the AR6, and the three AR6 Special Reports.
From believing in climate change to adapting to climate change: The role of risk perception and efficacy beliefs
Authors: Anne M. van Valkengoed, Goda Perlaviciute, Linda Steg
Journal: Risk Analysis · DOI: 10.1111/risa.14193 · Citations: 63
Matched topics: climate change
Are people more inclined to adapt to climate change if they believe that climate change is real, caused by human behavior, and/or brings negative consequences? Previous studies provided inconclusive results on the relationship between climate change perceptions and adaptation behavior. Using a longitudinal approach, we examined whether risk perception, self-efficacy, and outcome efficacy play a role in how and when climate change perceptions are associated with adaptation to pluvial flooding …
Drought Alleviates the Negative Effects of Microplastics on Soil Micro-Food Web Complexity and Stability
Authors: Mengli Liu, Chong Wang, Biao Zhu
Journal: Environmental Science & Technology · DOI: 10.1021/acs.est.3c01538 · Citations: 62
Matched topics: drought
Soil ecosystems are under considerable pressure due to anthropogenic factors, including microplastics (MPs) pollution and drought. However, little is known about the interactive effects of MPs and drought on soil organisms, especially soil micro-food web. We conducted a microcosm experiment with MPs pollution (including two types and two sizes of MPs) and drought to investigate their interaction effects on soil microbial, protist, and nematode communities in soil micro-food web. We found that…
Integrated drought vulnerability and risk assessment for future scenarios: An indicator based analysis
Authors: Tingting Wang, Fubao Sun
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165591 · Citations: 60
Matched topics: drought
The dynamic interplay between climate change and socioeconomic development has brought about significant changes in drought hazard, vulnerability, and risk within the global socioeconomic system. However, there is a prevailing lack of understanding about how these changes will manifest in an increasingly globalized economy under global warming. To address this knowledge gap, this study utilizes various climatic, geographical, and socioeconomic data from historical period and future projection…
Soil moisture dominates the variation of gross primary productivity during hot drought in drylands
Authors: Ruonan Qiu, Ge Han, Siwei Li, Feng Tian, Xin Ma, Wei Gong
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165686 · Citations: 55
Matched topics: drought
Abstract not available.
The burden of bad news: educators’ experiences of navigating climate change education
Authors: Kim Beasy, Charlotte Jones, Rachel Kelly, Chloe Lucas, Gabi Mocatta, GT Pecl et al.
Journal: Environmental Education Research · DOI: 10.1080/13504622.2023.2238136 · Citations: 54
Matched topics: climate change
Abstract not available.
A future of extreme precipitation and droughts in the Peruvian Andes
Authors: Emily Potter, Catriona Fyffe, Andrew Orr, Duncan J. Quincey, Andrew Ross, Sally Rangecroft et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-023-00409-z · Citations: 41
Matched topics: runoff, drought, hydropower
Abstract Runoff from glacierised Andean river basins is essential for sustaining the livelihoods of millions of people. By running a high-resolution climate model over the two most glacierised regions of Peru we unravel past climatic trends in precipitation and temperature. Future changes are determined from an ensemble of statistically downscaled global climate models. Projections under the high emissions scenario suggest substantial increases in temperature of 3.6 °C and 4.1 °C in the two r…
Integrating machine learning and environmental variables to constrain uncertainty in crop yield change projections under climate change
Authors: Linchao Li, Yan Zhang, Bin Wang, Puyu Feng, Qinsi He, Yu Shi et al.
Journal: European Journal of Agronomy · DOI: 10.1016/j.eja.2023.126917 · Citations: 50
Matched topics: climate change
Abstract not available.
Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections
Authors: F. Hourdin, Brady Ferster, Julie Deshayes, Juliette Mignot, Ionela Musat, Daniel Williamson
Journal: Science Advances · DOI: 10.1126/sciadv.adf2758 · Citations: 45
Matched topics: climate change, earth system model
Documenting the uncertainty of climate change projections is a fundamental objective of the inter-comparison exercises organized to feed into the Intergovernmental Panel on Climate Change (IPCC) reports. Usually, each modeling center contributes to these exercises with one or two configurations of its climate model, corresponding to a particular choice of “free parameter” values, resulting from a long and often tedious “model tuning” phase. How much uncertainty is omitted by this selection an…
Adaptation of cotton production to climate change by sowing date optimization and precision resource management
Authors: Fengqi Wu, Simeng Guo, Weibin Huang, Yingchun Han, Zhanbiao Wang, Lu Feng et al.
Journal: Industrial Crops and Products · DOI: 10.1016/j.indcrop.2023.117167 · Citations: 44
Matched topics: water management, climate change
Abstract not available.
Insights from CMIP6 SSP scenarios for future characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin
Authors: Zhaoqiang Zhou, Yibo Ding, Qiang Fu, Can Wang, Yao Wang, Hejiang Cai et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165618 · Citations: 33
Matched topics: hydrologic model, river, runoff, drought
Abstract not available.
Different triggers, different stories: Bark-beetle infestation patterns after storm and drought-induced outbreaks
Authors: Simon Kärvemo, Langning Huo, Petter Öhrn, Eva Lindberg, Henrik Persson
Journal: Forest Ecology and Management · DOI: 10.1016/j.foreco.2023.121255 · Citations: 44
Matched topics: drought
In the recent decades, Norway spruce forests (Picea abies Karst.) in Europe have been subject to large-scale tree mortality caused by the spruce bark beetle (Ips typographus L.). The outbreaks were induced by storm-felling events and periods of drought, which are becoming increasingly frequent due to climate change. Because storms and droughts spatially affect forests differently, the infestation patterns and configuration of the bark beetles might differ between storms and drought. In this s…
Towards scenario representation of adaptive capacity for global climate change assessments
Authors: Marina Andrijevic, Carl‐Friedrich Schleussner, Jesús Crespo Cuaresma, Tabea Lissner, Raya Muttarak, Keywan Riahi et al.
Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01725-1 · Citations: 44
Matched topics: climate change
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 8 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.
Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data
Authors: Haixiang Guan, Jianxi Huang, Li Li, Xuecao Li, Shuangxi Miao, Wei Su et al.
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2023.113714 · Citations: 107
Matched topics: flood
Abstract not available.
Impact of different industrial activities on heavy metals in floodplain soil and ecological risk assessment based on bioavailability: A case study from the Middle Yellow River Basin, northern China
Authors: Futian Liu, Xueqiu Wang, Shuang Dai, Jian Zhou, Dongsheng Liu, Qinghai Hu et al.
Journal: Environmental Research · DOI: 10.1016/j.envres.2023.116695 · Citations: 54
Matched topics: river
Abstract not available.
Urban flood risk assessment using AHP and geospatial techniques in swat Pakistan
Authors: Muhammad Waseem, Sareer Ahmad, Izhar Ahmad, Hira Wahab, Megersa Kebede Leta
Journal: SN Applied Sciences · DOI: 10.1007/s42452-023-05445-1 · Citations: 52
Matched topics: flood
Abstract The rapid urbanization and changing climate patterns in Swat, Pakistan have increased the vulnerability of urban areas to flood events. Accurate assessment of flood risk is crucial for effective urban planning and disaster management. In current research study flood hazard index was developed using analytic hierarchy process (AHP) technique in combination with the geographical information system (GIS) environment in Swat, Pakistan. The study integrates various data sources, including…
Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
Authors: Konstantinos Plataridis, Zisis Mallios
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129961 · Citations: 51
Matched topics: flood
Abstract not available.
How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?
Authors: Markus G. Donat, Carlos Delgado‐Torres, Paolo De Luca, Rashed Mahmood, Pablo Ortega, Francisco J. Doblas‐Reyes
Journal: Geophysical Research Letters · DOI: 10.1029/2022gl102466 · Citations: 44
Matched topics: hydrology, earth system model
Abstract Future precipitation changes are typically estimated from climate model simulations, while the credibility of such projections needs to be assessed by their ability to capture observed precipitation changes. Here we evaluate how skillfully historical climate simulations contributing to the Coupled Model Intercomparison Project Phase 6 (CMIP6) capture observed changes in mean and extreme precipitation. We find that CMIP6 historical simulations skillfully represent observed precipitati…
Spontaneous volunteers and the flood disaster 2021 in Germany: Development of social innovations in flood risk management
Authors: Marina Bier, Ramian Fathi, Christiane Stephan, Anke Kahl, Frank Fiedrich, Alexander Fekete
Journal: Journal of Flood Risk Management · DOI: 10.1111/jfr3.12933 · Citations: 46
Matched topics: flood
Abstract In the response of the flood disaster in Germany 2021 a vast number of spontaneous volunteers (SVs) participated. They organized coordinating services, developed emergent forms of SVs and thus hold the potential to improve existing flood managing capacities. This raises the need for in‐depth knowledge about SVs and organization, the use of information and communication technologies (ICT), social and individual aspects. This article analyzed results of an online survey ( n = 2636) wit…
Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models
Authors: Wenting Zhang, Bin Hu, Yongzhi Liu, Xingnan Zhang, Zhixuan Li
Journal: Remote Sensing · DOI: 10.3390/rs15143678 · Citations: 41
Matched topics: hydrology, flood
Flood risk assessment and mapping are considered essential tools for the improvement of flood management. This research aims to construct a more comprehensive flood assessment framework by emphasizing factors related to human resilience and integrating them with meteorological and geographical factors. Moreover, two ensemble learning models, namely voting and stacking, which utilize heterogeneous learners, were employed in this study, and their prediction performance was compared with that of…
Flood Vulnerability Models and Household Flood Damage Mitigation Measures: An Econometric Analysis of Survey Data
Authors: Thijs Endendijk, W. J. Wouter Botzen, Hans de Moel, Jeroen C. J. H. Aerts, Kymo Slager, Matthijs Kok
Journal: Water Resources Research · DOI: 10.1029/2022wr034192 · Citations: 45
Matched topics: flood
Abstract Flood events are expected to increase in their frequency and severity, which results in higher flood risk without additional adaptation measures. The information gained from flood risk models is essential in effective disaster risk management. However, vulnerability estimations are often a large driver of uncertainty, and flood damage is rarely estimated due to a lack of empirical damage data from flood events. This study uses a unique data set with experienced damages and the implem…
Machine Learning and AI for Hydrological Prediction
This week’s 5 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.
Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
Authors: Yaoxing Liao, Zhaoli Wang, Xiaohong Chen, Chengguang Lai
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129945 · Citations: 128
Matched topics: flood
Abstract not available.
A deep learning-based framework for multi-source precipitation fusion
Authors: Keyhan Gavahi, Ehsan Foroumandi, Hamid Moradkhani
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2023.113723 · Citations: 86
Matched topics: streamflow, land surface model, hydropower
Abstract not available.
A Novel Bio-Inspired Optimization Algorithm Design for Wind Power Engineering Applications Time-Series Forecasting
Authors: Faten Khalid Karim, Doaa Sami Khafaga, Marwa M. Eid, S. K. Towfek, Hend Khalid Alkahtani
Journal: Biomimetics · DOI: 10.3390/biomimetics8030321 · Citations: 74
Matched topics: earth system model
Wind patterns can change due to climate change, causing more storms, hurricanes, and quiet spells. These changes can dramatically affect wind power system performance and predictability. Researchers and practitioners are creating more advanced wind power forecasting algorithms that combine more parameters and data sources. Advanced numerical weather prediction models, machine learning techniques, and real-time meteorological sensor and satellite data are used. This paper proposes a Recurrent …
A new approach to seasonal energy consumption forecasting using temporal convolutional networks
Authors: Abdul Khalique Shaikh, Amril Nazir, Nadia Khalique, Abdul Salam Shah, Naresh Adhikari
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2023.101296 · Citations: 70
Matched topics: seasonal
There has been a significant increase in the attention paid to resource management in smart grids, and several energy forecasting models have been published in the literature. It is well known that energy forecasting plays a crucial role in several applications in smart grids, including demand-side management, optimum dispatch, and load shedding. A significant challenge in smart grid models is managing forecasts efficiently while ensuring the slightest feasible prediction error. A type of art…
Explainable machine learning for the prediction and assessment of complex drought impacts
Authors: Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, Kelly Helm Smith, Tsegaye Tadesse, Brian Wardlow
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165509 · Citations: 62
Matched topics: drought
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 3 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.
The nexus between agricultural land use, urbanization, and greenhouse gas emissions: Novel implications from different stages of income levels
Authors: Cosimo Magazzino, Giovanni Cerulli, Umer Shahzad, Salahuddin Khan
Journal: Atmospheric Pollution Research · DOI: 10.1016/j.apr.2023.101846 · Citations: 61
Matched topics: hydropower
The current study establishes theoretical and empirical linkages among urbanization, economic growth, land use, and greenhouse gas (GHG) emissions. The prime objective of this article is to draw novel conclusions and policies for the different income levels of countries regarding the urbanization and agriculture sector land on environmental pollution. Employing panel data of 50 countries for the period 1990 to 2019, this study uses the lasso regression and non-parametric regression panel data…
A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor
Authors: Jacob Mardian, Catherine Champagne, Barrie Bonsal, Aaron Berg
Journal: Water Resources Research · DOI: 10.1029/2022wr033847 · Citations: 48
Matched topics: hydrology, streamflow, drought
Abstract Drought is a costly natural disaster that impacts economies and ecosystems worldwide, so monitoring drought and communicating its impacts to individuals, communities, industry, and governments is important for mitigation, adaptation, and decision‐making. This research describes a novel machine learning framework to predict and understand the Canadian Drought Monitor (CDM). This fully automated approach is trained on nearly two decades of expert analysis and would assist the comprehen…
Mapping of groundwater potential zones by integrating remote sensing, geophysics, GIS, and AHP in a hard rock terrain
Authors: Pradeep Kamaraj, Muralitharan Jothimani, Banajarani Panda, S. Chidambaram
Journal: Urban Climate · DOI: 10.1016/j.uclim.2023.101610 · Citations: 46
Matched topics: water management
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 14 papers advancing understanding of hydrological processes through field observations, modeling, and remote sensing. Research covers snow distribution and dynamics in cold regions, forest-hydrology interactions, land use change impacts on river systems, rainfall-runoff modeling uncertainty, and satellite-based monitoring of terrestrial water resources.
The global wildland–urban interface
Authors: Franz Schug, Avi Bar‐Massada, Amanda R. Carlson, Heather Cox, Todd J. Hawbaker, David P. Helmers et al.
Journal: Nature · DOI: 10.1038/s41586-023-06320-0 · Citations: 180
Matched topics: hydrology, earth system model
, there is a need to understand housing growth and vegetation patterns as drivers of WUI change.
Google Earth Engine: A Global Analysis and Future Trends
Authors: Andrés Velástegui-Montoya, Néstor Montalván-Burbano, Paúl Carrión-Mero, Hugo Rivera-Torres, Luis Waldyr Rodrigues Sadeck, Marcos Adami
Journal: Remote Sensing · DOI: 10.3390/rs15143675 · Citations: 161
Matched topics: hydrology, earth system model
The continuous increase in the volume of geospatial data has led to the creation of storage tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform that facilitates geoprocessing, making it a tool of great interest to the academic and research world. This article proposes a bibliometric analysis of the GEE platform to analyze its scientific production. The methodology consists of four phases. The first phase corresponds to selecting “search” criteria, followed…
The latent reservoir of inducible, infectious HIV-1 does not decrease despite decades of antiretroviral therapy
Authors: Natalie F. McMyn, Joseph Varriale, Emily J. Fray, Carolin Zitzmann, Hannah J. MacLeod, J. Lai et al.
Journal: Journal of Clinical Investigation · DOI: 10.1172/JCI171554 · Citations: 124
Matched topics: reservoir
HIV-1 persists in a latent reservoir in resting CD4+ T cells despite antiretroviral therapy (ART). The reservoir decays slowly over the first 7 years of ART (t1/2 = 44 months). However, whether decay continues with long-term ART is unclear. Recent integration site studies indicate gradual selection against inducible, intact proviruses, raising speculation that decades of ART might allow treatment interruption without viral rebound. Therefore, we measured the reservoir in 42 people on long-ter…
Characterization of the spontaneously recharging natural hydrogen reservoirs of Bourakebougou in Mali
Authors: Omar Maiga, Éric Deville, Jérome Laval, Alain Prinzhofer, Aliou Boubacar Diallo
Journal: Scientific Reports · DOI: 10.1038/s41598-023-38977-y · Citations: 125
Matched topics: reservoir
-rich gas at the production timescale.
Platform-independent and curriculum-oriented intelligent assistant for higher education
Authors: Ramteja Sajja, Yusuf Sermet, David M. Cwiertny, İbrahim Demir
Journal: International Journal of Educational Technology in Higher Education · DOI: 10.1186/s41239-023-00412-7 · Citations: 104
Matched topics: hydrology, streamflow
Abstract Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their approach to education by offering flexible educational pathways that recognize continuous learning. To this end, we developed an AI-augmented…
Drivers of accelerated warming in Mediterranean climate-type regions
Authors: Diego Urdiales‐Flores, George Zittis, Panos Hadjinicolaou, Sergey Osipov, Klaus Klingmüller, Nikos Mihalopoulos et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-023-00423-1 · Citations: 89
Matched topics: streamflow
Abstract The near-surface temperature in Mediterranean climate-type regions has increased overall similarly or more rapidly than the global mean rates. Although these regions have comparable climate characteristics and are located at similar latitudes, recent warming acceleration is most pronounced in the Mediterranean Basin. Here, we investigate the contributions of several climate drivers to regional warming anomalies. We consider greenhouse gases, aerosols, solar irradiance, land–atmospher…
Microplastics as heavy metal vectors in the freshwater environment: Distribution, variations, sources and health risk
Authors: Kalpana Patidar, Balram Ambade, Faruq Mohammad, Ahmed A. Soleiman
Journal: Physics and Chemistry of the Earth Parts A/B/C · DOI: 10.1016/j.pce.2023.103448 · Citations: 77
Matched topics: water management, surface water
Abstract not available.
Occurrence and prevalence of antibiotics in wastewater treatment plants and effluent receiving rivers in South Africa using UHPLC-MS determination
Authors: Omuferen-oke Loveth Oharisi, Somandla Ncube, Hlengilizwe Nyoni, Lawrence Mzukisi Madikizela, Oluwole Joshua Olowoyo, Bethusile Rejoice Maseko
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.118621 · Citations: 66
Matched topics: river
Abstract not available.
Experimental study on characteristics of water imbibition and ion diffusion in shale reservoirs
Authors: Liu Yang, Hengkai Wang, Huijin Xu, Dongming Guo, Mingjun Li
Journal: Geoenergy Science and Engineering · DOI: 10.1016/j.geoen.2023.212167 · Citations: 66
Matched topics: reservoir
Abstract not available.
HESS Opinions: Are soils overrated in hydrology?
Authors: Hongkai Gao, F. Fenicia, H. Savenije
Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-27-2607-2023 · Citations: 39
Matched topics: hydrology, hydrologic model, streamflow, water management, earth system model
Abstract. Traditional hydrological theories are based on the assumption that soil is key in determining water’s fate in the hydrological cycle. According to these theories, soil hydraulic properties determine water movement in both saturated and unsaturated zones, described by matrix flow formulas such as the Darcy–Richards equations. They also determine plant-available moisture and thereby control transpiration. Here we argue that these theories are founded on a wrong assumption. Instead, we…
Assessing hydrological and water quality responses to dynamic landuse change at watershed scale in Mississippi
Authors: Dipesh Nepal, Prem B. Parajuli, Ying Ouyang, S. D. Filip To, Nuwan K. Wijewardane
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.129983 · Citations: 35
Matched topics: hydrology, hydrologic model, runoff, water management, land surface model
Abstract not available.
Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series - The TIMELINE NDVI Product
Authors: C. Eisfelder, Sarah Asam, A. Hirner, Philipp Reiners, Stefanie Holzwarth, M. Bachmann et al.
Journal: Remote Sensing · DOI: 10.3390/rs15143616 · Citations: 51
Matched topics: seasonal
Remote sensing multi-decadal time-series provide important information for analysing long-term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has been providing data since the early 1980s. Normalised Difference Vegetation Index (NDVI) time-series derived thereof can be used for monitoring vegetation conditions. This study presents the novel TIMELINE NDVI product, which provides a consistent set of daily, 10-day, and monthly NDVI composites at a 1 km spatial resolut…
Study on the spatial–temporal evolution and driving mechanism of urban land green use efficiency in the Yellow River Basin cities
Authors: Haiyang Li, Zhanqi Wang, Mengying Zhu, Chenxu Hu, Chong Liu
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.110672 · Citations: 45
Matched topics: river, land surface model
Under the current social background of green, sustainable, and high-quality development, countries and regions have increasingly begun to regard green development as a major goal of their economic and social development plans. If the evaluation of urban land use efficiency continues to be based only on economic and social outputs, such research will not conform to the current social development situation. Therefore, this paper introduces negative impacts, such as environmental pollution, into…
Remote sensing identification of urban water pollution source types using hyperspectral data
Authors: Xiaolan Cai, Luyao Wu, Yunmei Li, Shaohua Lei, Jie Xu, Heng Lyu et al.
Journal: Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2023.132080 · Citations: 44
Matched topics: water management
Abstract not available.
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 858 |
| After deduplication | 616 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 566 |
Papers by journal
| Journal | Papers |
|---|---|
| The Science of The Total Environment | 4 |
| Remote Sensing | 3 |
| Journal of Hydrology | 3 |
| 2 | |
| Remote Sensing of Environment | 2 |
| npj Climate and Atmospheric Science | 2 |
| Water Resources Research | 2 |
| Nature | 1 |
| Journal of Clinical Investigation | 1 |
| Scientific Reports | 1 |
| Computational Urban Science | 1 |
| International Journal of Educational Technology in Higher Education | 1 |
| Frontiers in Plant Science | 1 |
| Journal of Cleaner Production | 1 |
| Journal of Sustainable Agriculture and Environment | 1 |
| Biochar | 1 |
| Physics and Chemistry of the Earth Parts A/B/C | 1 |
| Biomimetics | 1 |
| Journal of Geophysical Research Earth Surface | 1 |
| Results in Engineering | 1 |
| Journal of Environmental Management | 1 |
| Geoenergy Science and Engineering | 1 |
| Risk Analysis | 1 |
| Environmental Science & Technology | 1 |
| Hydrology and Earth System Sciences | 1 |
| Atmospheric Pollution Research | 1 |
| Environmental Research | 1 |
| Environmental Education Research | 1 |
| SN Applied Sciences | 1 |
| European Journal of Agronomy | 1 |
| Ecological Indicators | 1 |
| Science Advances | 1 |
| Geophysical Research Letters | 1 |
| Industrial Crops and Products | 1 |
| Urban Climate | 1 |
| Journal of Flood Risk Management | 1 |
| Journal of Hazardous Materials | 1 |
| Forest Ecology and Management | 1 |
| Nature Climate Change | 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