Weekly Literature Review
Week 31 · July 31–August 6, 2023
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across 6 themes. The most cited paper examines Finite basis physics-informed neural networks (FBPINNs): a scalable domain decom, with 284 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- The impact of air pollution on respiratory diseases in an era of climate change: A review of the current evidence.
- The impact of industrial structure adjustment on the spatial industrial linkage of carbon emission: From the perspective of climate change mitigation
- Drought characteristics and dominant factors across China: Insights from high-resolution daily SPEI dataset between 1979 and 2018.
- Drought affects both photosystems in Arabidopsis thaliana
- Decadal Trends in the Oceanic Storage of Anthropogenic Carbon From 1994 to 2014
- Enabling Climate Change Adaptation in Coastal Systems: A Systematic Literature Review
- Geomechanical risk and mechanism analysis of CO2 sequestration in unconventional coal seams and shale gas reservoirs
- The Precipitation‐Recycling Process Enhanced Extreme Precipitation in Xinjiang, China
- Response of Ecosystem Productivity to High Vapor Pressure Deficit and Low Soil Moisture: Lessons Learned From the Global Eddy‐Covariance Observations
- Improvement of water yield and net primary productivity ecosystem services in the Loess Plateau of China since the “Grain for Green” project
- Adaptive evolution of the enigmatic Takakia now facing climate change in Tibet
- Drought re-routes soil microbial carbon metabolism towards emission of volatile metabolites in an artificial tropical rainforest
- Coupled effects of land use and climate change on water supply in SSP–RCP scenarios: A case study of the Ganjiang River Basin, China
- Climate-change worry among two cohorts of late adolescents: Exploring macro and micro worries, coping, and relations to climate engagement, pessimism, and well-being
- Application of Silicon, Zinc, and Zeolite Nanoparticles—A Tool to Enhance Drought Stress Tolerance in Coriander Plants for Better Growth Performance and Productivity
- Shallow-water hydrothermal venting linked to the Palaeocene–Eocene Thermal Maximum
- Maximizing the potential of protected areas for biodiversity conservation, climate refuge and carbon storage in the face of climate change: A case study of Southwest China
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
- Climate Change and Potential Demise of the Indian Deserts
- Soil properties constrain predicted poleward migration of plants under climate change
- Reduced Southern Ocean warming enhances global skill and signal-to-noise in an eddy-resolving decadal prediction system
- Flood Risk Assessment and Extreme Precipitation
- A review of recent advances in urban flood research
- Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and Rand-Index Evaluation on K-Means Algorithm for Classifying Flood-Affected Areas in Jakarta
- FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
- Experimental investigation on PEM fuel cell flooding mitigation under heavy loading condition
- Identifying flood vulnerable and risk areas using the integration of analytical hierarchy process (AHP), GIS, and remote sensing: A case study of southern Oromia region
- Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis
- Impact of Disaster on mental health of women: A case study on 2022 flash flood in Bangladesh
- Machine Learning and AI for Hydrological Prediction
- Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
- Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020
- Application, interpretability and prediction of machine learning method combined with LSTM and LightGBM-a case study for runoff simulation in an arid area
- A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms
- Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region, Central Asia
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- An integrated system with functions of solar desalination, power generation and crop irrigation
- Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators
- Sustainable irrigation and climate feedbacks
- Sustainable agricultural water management in the Yellow River Basin, China
- Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Global mass of buoyant marine plastics dominated by large long-lived debris
- Construction of ecological network in Suzhou based on the PLUS and MSPA models
- Why the 2022 Po River drought is the worst in the past two centuries
- Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales
- Enhancing Manganese Availability for Plants through Microbial Potential: A Sustainable Approach for Improving Soil Health and Food Security
- Nanotechnology as a powerful tool in plant sciences: Recent developments, challenges and perspectives
- Occurrence of microplastic pollution in rivers globally: Driving factors of distribution and ecological risk assessment
- Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia
- Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset
- Seasonal water storage and release dynamics of bofedal wetlands in the Central Andes
- Status of aquatic organisms resources and their environments in Yangtze River system (2017–2021)
- 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.
The impact of air pollution on respiratory diseases in an era of climate change: A review of the current evidence.
Authors: H. M. Tran, Feng-Jen Tsai, Yueh-Lun Lee, Jerjang Chang, Li-Te Chang, T. Chang et al.
Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2023.166340 · Citations: 269
Matched topics: climate change
The impacts of climate change and air pollution on respiratory diseases present significant global health challenges. This review aims to investigate the effects of the interactions between these challenges focusing on respiratory diseases. Climate change is predicted to increase the frequency and intensity of extreme weather events amplifying air pollution levels and exacerbating respiratory diseases. Air pollution levels are projected to rise due to ongoing economic growth and population ex…
The impact of industrial structure adjustment on the spatial industrial linkage of carbon emission: From the perspective of climate change mitigation
Authors: Zheng You, Jianhui Tang, Fubin Huang
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.118620 · Citations: 109
Matched topics: climate change
Abstract not available.
Drought characteristics and dominant factors across China: Insights from high-resolution daily SPEI dataset between 1979 and 2018.
Authors: Linglin Wan, Virgílio A. Bento, Yanping Qu, Jianxiu Qiu, Hongquan Song, Rongrong Zhang et al.
Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2023.166362 · Citations: 101
Matched topics: drought
Drought, a complex phenomenon exacerbated by climate change, is influenced by various climate factors. The escalating global temperatures associated with climate change, impact precipitation patterns and water cycle processes, consequently intensifying the occurrence and severity of droughts. To effectively address and adapt to these challenges, it is crucial to identify the dominant climate factors driving drought events. In this study, we utilized the 1979-2018 Chinese meteorological forcin…
Drought affects both photosystems in Arabidopsis thaliana
Authors: Chen Hu, Eduard Elias, Wojciech J. Nawrocki, Roberta Croce
Journal: New Phytologist · DOI: 10.1111/nph.19171 · Citations: 90
Matched topics: drought
) is very sensitive to drought and can thus be used as a parameter for early detection of drought stress.
Decadal Trends in the Oceanic Storage of Anthropogenic Carbon From 1994 to 2014
Authors: Jens Daniel Müller, Nicolas Gruber, Brendan R. Carter, Richard A. Feely, Masao Ishii, Nico Lange et al.
Journal: AGU Advances · DOI: 10.1029/2023av000875 · Citations: 81
Matched topics: earth system model
Abstract The oceanic uptake and resulting storage of the anthropogenic CO 2 (C ant ) that humans have emitted into the atmosphere moderates climate change. Yet our knowledge about how this uptake and storage has progressed in time remained limited. Here, we determine decadal trends in the storage of C ant by applying the eMLR(C*) regression method to ocean interior observations collected repeatedly since the 1990s. We find that the global ocean storage of C ant grew from 1994 to 2004 by 29 ± …
Enabling Climate Change Adaptation in Coastal Systems: A Systematic Literature Review
Authors: David Cabana, Lena Rölfer, Prosper Evadzi, Louis Celliers
Journal: Earth s Future · DOI: 10.1029/2023ef003713 · Citations: 78
Matched topics: climate change
Abstract Climate change poses increasingly severe risks for coastal ecosystems and coastal communities all around the globe. This condition requires implementing climate adaptation policy and advancing scientific knowledge to adapt to the current and future climate risks. However, implementing climate adaptation policy in coastal areas is still in its infancy. This paper provides insight into 650 peer‐reviewed empirical research studies on coastal climate adaptation from the past two decades,…
Geomechanical risk and mechanism analysis of CO2 sequestration in unconventional coal seams and shale gas reservoirs
Authors: Nianjie Kuang, Junping Zhou, Xuefu Xian, Chengpeng Zhang, Kang Yang, Zhiqiang Dong
Journal: Rock Mechanics Bulletin · DOI: 10.1016/j.rockmb.2023.100079 · Citations: 62
Matched topics: reservoir, water management
With global greenhouse gas emissions hitting record highs in 2021, CO2 geological sequestration (CGS) is the most realistic and feasible technology to ensure large-scale carbon reduction to achieve global carbon capping and carbon neutrality goals. Both coalbed methane and shale gas have the characteristics of self-generation and self-storage, which is considered to be a valuable target reservoir for geological storage of CO2. After a high volume of CO2 is injected into unconventional coal se…
The Precipitation‐Recycling Process Enhanced Extreme Precipitation in Xinjiang, China
Authors: Jinxia Zhang, Shanshan Wang, Jianping Huang, Yongli He, Yu Ren
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl104324 · Citations: 66
Matched topics: hydrology
Abstract The amount, frequency and intensity of extreme precipitation over Xinjiang have increased dramatically under the wetting trend in Northwest China, but long‐term trends in the precipitation‐recycling process remain largely unexplored. Based on dynamic recycling model and MERRA2 reanalysis, we revealed a mean recycling ratio for extreme precipitation in Xinjiang of 42.3% with a growth rate of 2.3% decade −1 during 1982–2019. The increasing trend of extreme precipitation was almost equa…
Response of Ecosystem Productivity to High Vapor Pressure Deficit and Low Soil Moisture: Lessons Learned From the Global Eddy‐Covariance Observations
Authors: Shiqin Xu, Pierre Gentine, Lingcheng Li, Lixin Wang, Zhongbo Yu, Ningpeng Dong et al.
Journal: Earth s Future · DOI: 10.1029/2022ef003252 · Citations: 61
Matched topics: hydrology, land surface model
Abstract Although there is mounting concern about how high vapor pressure deficit (VPD) and low soil moisture (SM) affect ecosystem productivity, their relative importance is still under debate. Here, we comprehensively quantified the relative impacts of these two factors on ecosystem gross primary production (GPP) using observations from a global network of eddy‐covariance towers and two approaches (sensitivity analysis and linear regression model). Both approaches agree that a higher percen…
Improvement of water yield and net primary productivity ecosystem services in the Loess Plateau of China since the “Grain for Green” project
Authors: Wanyun Huang, Peng Wang, Liang He, Baoyuan Liu
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.110707 · Citations: 61
Matched topics: water management
The Loess Plateau of China is one of the regions with the most serious soil erosion globally. The ambitious “Grain for Green” project was there implemented to restore degraded ecosystems, profoundly changing the water yield and carbon sequestration ecosystem services. To understand the changes of water- and carbon-related ecosystem services (hereafter WCES) in the Loess Plateau, this study combined the CASA (Carnegie-Ames-Stanford Approach) model and InVEST (Integrated Valuation of Ecosystem …
Adaptive evolution of the enigmatic Takakia now facing climate change in Tibet
Authors: Ruoyang Hu, Xuedong Li, Yong Hu, Runjie Zhang, Qiang Lv, Min Zhang et al.
Journal: Cell · DOI: 10.1016/j.cell.2023.07.003 · Citations: 56
Matched topics: climate change
Abstract not available.
Drought re-routes soil microbial carbon metabolism towards emission of volatile metabolites in an artificial tropical rainforest
Authors: Linnea K. Honeker, Giovanni Pugliese, Johannes Ingrisch, Jane Fudyma, Juliana Gil-Loaiza, Elizabeth Carpenter et al.
Journal: Nature Microbiology · DOI: 10.1038/s41564-023-01432-9 · Citations: 54
Matched topics: drought
decreased during drought, carbon loss via efflux of VOCs increased, indicating microbially induced shifts in soil carbon fate.
Coupled effects of land use and climate change on water supply in SSP–RCP scenarios: A case study of the Ganjiang River Basin, China
Authors: Jia Tang, Peihao Song, Xijun Hu, Cunyou Chen, Baojing Wei, Siwen Zhao
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.110745 · Citations: 49
Matched topics: river, climate change
Coupling land use and climate change under shared socioeconomic pathway and representative concentration pathway (SSP–RCP) scenarios can provide more accurate predictions of water supply risks, thereby supporting decision-making for spatial planning with a focus on climate adaptation. Climate change exhibits spatial and temporal differences. To meet the requirements of spatial planning, further research is needed to assess water supply risks at different basin or regional scales. In this stud…
Climate-change worry among two cohorts of late adolescents: Exploring macro and micro worries, coping, and relations to climate engagement, pessimism, and well-being
Authors: Marlis Wullenkord, Maria Ojala
Journal: Journal of Environmental Psychology · DOI: 10.1016/j.jenvp.2023.102093 · Citations: 52
Matched topics: climate change
Few studies have explored climate change worry in an in-depth manner among adolescents. Through survey studies with two cohorts of adolescents (2010, 2019/2020) we investigated relations between different forms of climate change worry, mental well-being, and pro-environmental behavior and what role coping plays in these relationships. Results show that climate change worry was negatively associated with subjective well-being, and positively associated with climate pessimism and pro-environmen…
Application of Silicon, Zinc, and Zeolite Nanoparticles—A Tool to Enhance Drought Stress Tolerance in Coriander Plants for Better Growth Performance and Productivity
Authors: Abdel Wahab M. Mahmoud, Hassan M. Rashad, Sanaa E. A. Esmail, Hameed Alsamadany, Emad A. Abdeldaym
Journal: Plants · DOI: 10.3390/plants12152838 · Citations: 51
Matched topics: drought
). The current study showed that the application of silicon, zinc, and zeolite nanoparticles only positively influenced the morphological, physiological, and biochemical properties of the drought-stressed coriander plant. Exogenous application of N-silicon, N-zinc, and N-zeolite recorded the higher growth parameters of drought-stressed plants; namely, plant fresh weight, plant dry weight, leaf area, and root length than all the other treatments in both seasons. The improvement ratio, on avera…
Shallow-water hydrothermal venting linked to the Palaeocene–Eocene Thermal Maximum
Authors: Christian Berndt, Sverre Planke, Carlos A. Alvarez Zarikian, Joost Frieling, Morgan T. Jones, John Millett et al.
Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01246-8 · Citations: 50
Matched topics: earth system model
Abstract The Palaeocene–Eocene Thermal Maximum (PETM) was a global warming event of 5–6 °C around 56 million years ago caused by input of carbon into the ocean and atmosphere. Hydrothermal venting of greenhouse gases produced in contact aureoles surrounding magmatic intrusions in the North Atlantic Igneous Province have been proposed to play a key role in the PETM carbon-cycle perturbation, but the precise timing, magnitude and climatic impact of such venting remains uncertain. Here we presen…
Maximizing the potential of protected areas for biodiversity conservation, climate refuge and carbon storage in the face of climate change: A case study of Southwest China
Authors: Hui Wu, Le Yu, Xiaoli Shen, Fangyuan Hua, Keping Ma
Journal: Biological Conservation · DOI: 10.1016/j.biocon.2023.110213 · Citations: 47
Matched topics: climate change
Abstract not available.
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
Authors: Marı́a Gonçalves Ageitos, Vincenzo Obiso, R. L. Miller, Oriol Jorba, Martina Klose, Matt Dawson et al.
Journal: Atmospheric chemistry and physics · DOI: 10.5194/acp-23-8623-2023 · Citations: 47
Matched topics: earth system model
Abstract. Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The influence of dust on these processes depends on its physicochemical properties, which, far from being homogeneous, are shaped by its regionally varying mineral composition. The relative amount of minerals i…
Climate Change and Potential Demise of the Indian Deserts
Authors: P. V. Rajesh, B. N. Goswami
Journal: Earth s Future · DOI: 10.1029/2022ef003459 · Citations: 42
Matched topics: hydrologic model, climate change
Abstract In contrast to the “wet gets wetter and dry gets drier” paradigm, here, using observations and climate model simulations, we show that the mean rainfall over the semi‐arid northwest parts of India and Pakistan has increased by 10%–50% during 1901–2015 and is expected to increase by 50%–200% under moderate greenhouse gas (GHG) scenarios. The GHG forcing primarily drives the westward expansion of the Indian summer monsoon rainfall (ISMR) and is facilitated by a westward expansion of th…
Soil properties constrain predicted poleward migration of plants under climate change
Authors: Ming Ni, Mark Vellend
Journal: New Phytologist · DOI: 10.1111/nph.19164 · Citations: 45
Matched topics: climate change
Many plant species are predicted to migrate poleward in response to climate change. Species distribution models (SDMs) have been widely used to quantify future suitable habitats, but they often neglect soil properties, despite the importance of soil for plant fitness. As soil properties often change along latitudinal gradients, higher-latitude soils might be more or less suitable than average conditions within the current ranges of species, thereby accelerating or slowing potential poleward m…
Reduced Southern Ocean warming enhances global skill and signal-to-noise in an eddy-resolving decadal prediction system
Authors: Stephen Yeager, Ping Chang, Gökhan Danabasoglu, Nan Rosenbloom, Qiuying Zhang, Fred Castruccio et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-023-00434-y · Citations: 45
Matched topics: earth system model
Abstract The impact of increased model horizontal resolution on climate prediction performance is examined by comparing results from low-resolution (LR) and high-resolution (HR) decadal prediction simulations conducted with the Community Earth System Model (CESM). There is general improvement in global skill and signal-to-noise characteristics, with particularly noteworthy improvements in the eastern tropical Pacific, when resolution is increased from order 1° in all components to order 0.1°/…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 7 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.
A review of recent advances in urban flood research
Authors: Candace Agonafir, T. Lakhankar, R. Khanbilvardi, N. Krakauer, D. Radell, N. Devineni
Journal: Water Security · DOI: 10.1016/j.wasec.2023.100141 · Citations: 130
Matched topics: flood
Abstract not available.
Analysis of Elbow, Silhouette, Davies-Bouldin, Calinski-Harabasz, and Rand-Index Evaluation on K-Means Algorithm for Classifying Flood-Affected Areas in Jakarta
Authors: Ilham Firman Ashari, Eko Dwi Nugroho, Randi Baraku, Ilham Novri Yanda, Ridho Liwardana
Journal: JOURNAL OF APPLIED INFORMATICS AND COMPUTING · DOI: 10.30871/jaic.v7i1.4947 · Citations: 105
Matched topics: flood
Jakarta is the capital city of Indonesia, which has a high population density, and is an area that is frequently hit by floods. This study aims to determine the classification of flood-affected areas in Jakarta between severe, moderate, and low. Design/method/approach: The study was conducted using the elbow, Silhouette, Davidson-Bouldin, and Calinski-Harabasz methods on the K-means algorithm, as well as the Rand method. index for evaluation. Grouping with 3 and 6 groups is the best grouping …
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
Authors: Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-seng Chua et al.
Journal: Knowledge Discovery and Data Mining · DOI: 10.1145/3580305.3599355 · Citations: 65
Matched topics: flood
Graph Neural Networks (GNNs) have achieved remarkable success in various domains but most of them are developed under the in-distribution assumption. Under out-of-distribution (OOD) settings, they suffer from the distribution shift between the training set and the test set and may not generalize well to the test distribution. Several methods have tried the invariance principle to improve the generalization of GNNs in OOD settings. However, in previous solutions, the graph encoder is immutable…
Experimental investigation on PEM fuel cell flooding mitigation under heavy loading condition
Authors: Huicui Chen, Ruirui Zhang, Zhifeng Xia, Qianyao Weng, Tong Zhang, Pucheng Pei
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2023.121632 · Citations: 54
Matched topics: water management, flood
Abstract not available.
Identifying flood vulnerable and risk areas using the integration of analytical hierarchy process (AHP), GIS, and remote sensing: A case study of southern Oromia region
Authors: Dawit Girma Burayu, Shankar Karuppannan, Gemachu Shuniye
Journal: Urban Climate · DOI: 10.1016/j.uclim.2023.101640 · Citations: 52
Matched topics: flood
Abstract not available.
Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis
Authors: Harith F. Al-Khafaji, Qingbang Meng, Wakeel Hussain, Rudha Khudhair Mohammed, Fayez Harash, Salah Alshareef AlFakey
Journal: Fuel · DOI: 10.1016/j.fuel.2023.129263 · Citations: 42
Matched topics: flood
Abstract not available.
Impact of Disaster on mental health of women: A case study on 2022 flash flood in Bangladesh
Authors: Md. Mostafizur Rahman, Ifta Alam Shobuj, Md. Tanvir Hossain, Farah Tasnim
Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2023.103935 · Citations: 41
Matched topics: flood
Abstract not available.
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.
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Authors: Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer
Journal: Advances in Computational Mathematics · DOI: 10.1007/s10444-023-10065-9 · Citations: 284
Matched topics: earth system model
Abstract Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm for solving problems relating to differential equations. Compared to classical numerical methods, PINNs have several advantages, for example their ability to provide mesh-free solutions of differential equations and their ability to carry out forward and inverse modelling within the same optimisation problem. Whilst promising, a key limitation to date is that PINNs have struggled to accurately and…
Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020
Authors: Chengkang Zhang, Hongyan Zhang, Sijing Tian
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2023.108105 · Citations: 104
Matched topics: water management
Accurate spatial distribution maps of paddy rice played crucial roles in food security and market stability. Decades-spanning Landsat images were useful for long-term paddy rice mapping. However, it still remained challenging to achieve consistent paddy rice mapping using the Landsat series images due to many factors such as sparse observations, frequent weather contamination, and shortage of training samples. To address these challenges, this study proposed a flexible Phenology-assisted Supe…
Application, interpretability and prediction of machine learning method combined with LSTM and LightGBM-a case study for runoff simulation in an arid area
Authors: L. Bian, Xueer Qin, Chenglong Zhang, Ping Guo, Hui Wu
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.130091 · Citations: 94
Matched topics: runoff
Abstract not available.
A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms
Authors: Alireza Habibi, M. R. Delavar, Borzoo Nazari, Saied Pirasteh, Mohammad Sadegh Sadeghian
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2023.103443 · Citations: 42
Matched topics: flood
Identifying flood-prone regions is critical for effective management of flood hazards as floods are among the most devastating natural disasters globally. However, accurate modeling and prediction of floods are challenging due to their complexity. The current research has proposed a novel approach for Flood Hazard (FH) prediction using hybrid Machine Learning (ML) models that integrate ensemble ML models with several Feature Selection (FS) algorithms. An optimum set of Flood Influential Facto…
Machine learning method is an alternative for the hydrological model in an alpine catchment in the Tianshan region, Central Asia
Authors: Wenting Liang, Yaning Chen, Gonghuan Fang, Azamat Kaldybayev
Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2023.101492 · Citations: 37
Matched topics: hydrologic model, streamflow
Kaidu River catchment in the Tianshan Mountain, northwestern China. This paper compared the applicability and accuracy of four machine learning models and two hydrological ones to simulate the daily streamflow and extreme streamflow of the Kaidu River catchment. The machine learning models are Support Vector Regression (SVR), eXtreme Gradient Boosting (XGBoost), Random Forests (RF), and Long Short-Term Memory (LSTM), while the hydrological models are the Soil and Water Assessment Tool (SWAT) …
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.
Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area electrification
Authors: Ahmad Shah Irshad, W. Samadi, A. Fazli, A. Noori, Ahmad Shah Amin, Mohammad Naseer Zakir et al.
Journal: Energy · DOI: 10.1016/j.energy.2023.128823 · Citations: 49
Matched topics: hydropower
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 5 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.
An integrated system with functions of solar desalination, power generation and crop irrigation
Authors: Meng Wang, Yen Wei, Xin Wang, Ruoxin Li, Shenmin Zhang, Ke Wang et al.
Journal: Nature Water · DOI: 10.1038/s44221-023-00118-0 · Citations: 86
Matched topics: irrigation
Abstract not available.
Aqueduct 4.0: Updated Decision-Relevant Global Water Risk Indicators
Authors: Samantha Kuzma, Marc F. P. Bierkens, S. Anush Lakshman, Tianyi Luo, Liz Saccoccia, Edwin H. Sutanudjaja et al.
Journal: ** · DOI: 10.46830/writn.23.00061 · Citations: 82
Matched topics: hydrology
This technical note serves as the main reference for the updated Aqueduct™️ 4.0 water risk framework. It details the data and methodology used to create 13 indicators of global water risk. Indicators reflect both current conditions and future projections of water supply, demand, stress, and more. This paper also describes how water risks can be aggregated into categories of risk, such as physical and quality, as well as administrative risk.
Sustainable irrigation and climate feedbacks
Authors: Yi Yang, Zhenong Jin, N. Mueller, Avery W. Driscoll, R. Hernandez, S. Grodsky et al.
Journal: Nature Food · DOI: 10.1038/s43016-023-00821-x · Citations: 67
Matched topics: irrigation
Abstract not available.
Sustainable agricultural water management in the Yellow River Basin, China
Authors: Yitao Zhang, Pingguo Yang, Jian Liu, Xucheng Zhang, Ying Zhao, Qiang Zhang et al.
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2023.108473 · Citations: 49
Matched topics: river, water management
The Yellow River Basin, which accommodates the second longest river in China – Yellow River, covers a total area of 795,000 km2 and plays an important role in the national agricultural production, economy, and culture. However, the Basin also faces enormous challenges related to sustainable water management in agriculture as driven by both drought and flood. In this special issue, we collected 64 articles across the Basin to improve our understanding of agricultural water management needs and…
Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland
Authors: Md Galal Uddin, Aoife Jackson, Stephen Nash, Azizur Rahman, Agnieszka I. Olbert
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165960 · Citations: 51
Matched topics: water management
= 1, NSE = 0.99, and MEF = 0 values. Furthermore, the final assessment of water quality using the new methodologies had the lowest uncertainty (<1 %), whereas the efficiency measures (NSE and MEF) indicate that the new approaches are bias-free to assess water quality at any geographic scale. The results of this study reveal that the newly proposed methodologies are effective in assessing the water quality states of transitional and coastal waterbodies in the North of Ireland. The study also h…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 11 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.
Global mass of buoyant marine plastics dominated by large long-lived debris
Authors: Mikael Kaandorp, Delphine Lobelle, Christian Kehl, Henk A. Dijkstra, Erik van Sebille
Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01216-0 · Citations: 260
Matched topics: earth system model
Abstract The fate of plastics that enter the ocean is a longstanding puzzle. Recent estimates of the oceanic input of plastic are one to two orders of magnitude larger than the amount measured floating at the surface. This discrepancy could be due to overestimation of input estimates, processes removing plastic from the surface ocean or fragmentation and degradation. Here we present a 3D global marine mass budget of buoyant plastics that resolves this discrepancy. We assimilate observational …
Construction of ecological network in Suzhou based on the PLUS and MSPA models
Authors: Xinlei Xu, Siyuan Wang, Wenzhuo Rong
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.110740 · Citations: 117
Matched topics: hydrologic model, water management
Building regional ecological network can alleviate the notable contradiction between land use and ecological development in the process of rapid urbanization. Suzhou is the center city of the Yangtze River Delta urban cluster and a typical water network city, but high intensity land use has fragmented its ecological space. The study firstly introduced the patch generation land use simulation (PLUS) model to simulate the land use under the ecological priority scenario in Suzhou in 2032, combin…
Why the 2022 Po River drought is the worst in the past two centuries
Authors: A. Montanari, Hung T. T. Nguyen, S. Rubinetti, S. Ceola, S. Galelli, A. Rubino et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adg8304 · Citations: 101
Matched topics: river, drought
The causes of recent hydrological droughts and their future evolution under a changing climate are still poorly understood. Banking on a 216-year river flow time series at the Po River outlet, we show that the 2022 hydrological drought is the worst event (30% lower than the second worst, with a six-century return period), part of an increasing trend in severe drought occurrence. The decline in summer river flows (−4.14 cubic meters per second per year), which is more relevant than the precipi…
Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales
Authors: Xianglin Ji, Yilin Sun, Wei Guo, Chuanwu Zhao, Kai Li
Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.118729 · Citations: 77
Matched topics: river
Abstract not available.
Enhancing Manganese Availability for Plants through Microbial Potential: A Sustainable Approach for Improving Soil Health and Food Security
Authors: Bahman Khoshru, Debasis Mitra, Alireza Fallah Nosratabad, Adel Reyhanitabar, Labani Mandal, Beatrice Farda et al.
Journal: Bacteria · DOI: 10.3390/bacteria2030010 · Citations: 74
Matched topics: hydrology
Manganese (Mn) is essential for plant growth, as it serves as a cofactor for enzymes involved in photosynthesis, antioxidant synthesis, and defense against pathogens. It also plays a role in nutrient uptake, root growth, and soil microbial communities. However, the availability of Mn in the soil can be limited due to factors like soil pH, redox potential, organic matter content, and mineralogy. The excessive use of chemical fertilizers containing Mn can lead to negative consequences for soil …
Nanotechnology as a powerful tool in plant sciences: Recent developments, challenges and perspectives
Authors: Avnesh Kumari, Varnika Rana, Sudesh Kumar Yadav, Vinay Kumar
Journal: Plant Nano Biology · DOI: 10.1016/j.plana.2023.100046 · Citations: 61
Matched topics: water management
In today’s global climate emergency, agricultural practices are becoming increasingly unsustainable. There are a number of alarming issues that require immediate action, including soil erosion, excessive use of natural resources, biodiversity loss, and an explosion of population. Although agriculture is heavily modernized, with traditional approaches, it is not possible to meet these challenges due to different landscapes, high nutrition demand, and a lack of technology. Aside from adversely …
Occurrence of microplastic pollution in rivers globally: Driving factors of distribution and ecological risk assessment
Authors: Yanping Tan, Jiangyu Dai, Shuwen Xiao, Zhiqiang Tang, Jianmin Zhang, Shiqiang Wu et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.165979 · Citations: 46
Matched topics: river, water management
Abstract not available.
Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia
Authors: Ayenew D. Ayalew, Paul D. Wagner, Tibebe B. Tigabu, Dejene Sahlu, Nicola Fohrer
Journal: Journal of Water and Climate Change · DOI: 10.2166/wcc.2023.138 · Citations: 30
Matched topics: hydrology, hydrologic model, runoff, streamflow, land surface model
Abstract Due to the rapid socio-economic development in the Ethiopian Rift Valley basin, the pressures on water resources are increasing. To understand the change of spatio-temporal water fluxes, the hydrologic model SWAT+ (Soil and Water Assessment Tool+) was applied to five selected watersheds within the basin. With regards to the objective functions, Kling–Gupta efficiency (KGE: 0.68–0.84), the Nash–Sutcliffe efficiency (NSE: 0.61–0.73), percent bias (PBIAS: −3.4 to 1.4), and RMSE-observat…
Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset
Authors: Armin Sorooshian, Mikhail D. Alexandrov, Adam D. Bell, Ryan Bennett, Grace Betito, S. P. Burton et al.
Journal: Earth system science data · DOI: 10.5194/essd-15-3419-2023 · Citations: 48
Matched topics: earth system model
Abstract. The NASA Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) produced a unique dataset for research into aerosol–cloud–meteorology interactions, with applications extending from process-based studies to multi-scale model intercomparison and improvement as well as to remote-sensing algorithm assessments and advancements. ACTIVATE used two NASA Langley Research Center aircraft, a HU-25 Falcon and King Air, to conduct systematic and spatially coordina…
Seasonal water storage and release dynamics of bofedal wetlands in the Central Andes
Authors: A. Ross, Marc Martínez Mendoza, Fabián Drenkhan, Nilton Montoya, Jan R. Baiker, Jonathan Mackay et al.
Journal: Hydrological Processes · DOI: 10.1002/hyp.14940 · Citations: 22
Matched topics: hydrology, hydrologic model, runoff, streamflow, water management, seasonal
Abstract Tropical high‐Andean wetlands, locally known as ‘bofedales’, are key ecosystems sustaining biodiversity, carbon sequestration, water provision and livestock farming. Bofedales’ contribution to dry season baseflows and sustaining water quality is crucial for downstream water security. The sensitivity of bofedales to climatic and anthropogenic disturbances is therefore of growing concern for watershed management. This study aims to understand seasonal water storage and release characte…
Status of aquatic organisms resources and their environments in Yangtze River system (2017–2021)
Authors: Haile Yang, Li Shen, Yongfeng He, Huiwu Tian, Lei Gao, Jin‐Ming Wu et al.
Journal: Aquaculture and Fisheries · DOI: 10.1016/j.aaf.2023.06.004 · Citations: 44
Matched topics: river
The Yangtze River is the mother river of China. To promote the aquatic ecosystem protection of the great river, the Project of Yangtze Fisheries Resources and Environment Investigation (2017–2021) supported by the Ministry of Agriculture and Rural Affairs, P. R. China carried out by 24 institutes and universities that located in the Yangtze River basin surveys the status of (1) fish species composition and spatial distribution, (2) current fish abundance, (3) endangered fishes, (4) Yangtze fi…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 924 |
| After deduplication | 723 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 673 |
Papers by journal
| Journal | Papers |
|---|---|
| Ecological Indicators | 3 |
| Earth s Future | 3 |
| Science of the Total Environment | 2 |
| Nature Geoscience | 2 |
| Journal of Environmental Management | 2 |
| New Phytologist | 2 |
| The Science of The Total Environment | 2 |
| Advances in Computational Mathematics | 1 |
| Water Security | 1 |
| JOURNAL OF APPLIED INFORMATICS AND COMPUTING | 1 |
| Science Advances | 1 |
| Computers and Electronics in Agriculture | 1 |
| Journal of Hydrology | 1 |
| Nature Water | 1 |
| 1 | |
| AGU Advances | 1 |
| Bacteria | 1 |
| Knowledge Discovery and Data Mining | 1 |
| Nature Food | 1 |
| Rock Mechanics Bulletin | 1 |
| Geophysical Research Letters | 1 |
| Plant Nano Biology | 1 |
| Applied Energy | 1 |
| Cell | 1 |
| Nature Microbiology | 1 |
| Agricultural Water Management | 1 |
| Urban Climate | 1 |
| Journal of Environmental Psychology | 1 |
| Plants | 1 |
| Journal of Water and Climate Change | 1 |
| Energy | 1 |
| Earth system science data | 1 |
| Biological Conservation | 1 |
| Atmospheric chemistry and physics | 1 |
| Hydrological Processes | 1 |
| npj Climate and Atmospheric Science | 1 |
| Aquaculture and Fisheries | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Fuel | 1 |
| Journal of Hydrology Regional Studies | 1 |
| International Journal of Disaster Risk Reduction | 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