Weekly Literature Review

Week 34 · August 19–August 25, 2024

50 relevant papers found across 6 themes

Executive Summary

This week’s review covers 50 papers across 6 themes. The most cited paper examines Step by Step Calculation of the Penman-Monteith Evapotranspiration (FAO-56 Metho, with 305 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

  1. Executive Summary
  2. Climate Change and Terrestrial Water Storage
    1. Step by Step Calculation of the Penman-Monteith Evapotranspiration (FAO-56 Method)
    2. Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada
    3. How urban form impacts flooding
    4. Timing the first emergence and disappearance of global water scarcity
    5. Global expansion of human-wildlife overlap in the 21st century
    6. Integrating climate change predictions into infrastructure degradation modelling using advanced markovian frameworks to enhanced resilience
    7. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions
    8. Improved identification and monitoring of meteorological, agricultural, and hydrological droughts using the modified nonstationary drought indices in the Yellow River Basin of China
    9. Review of CO2 Fracturing and Carbon Storage in Shale Reservoirs
    10. Image-based quantitative probing of 3D heterogeneous pore structure in CBM reservoir and permeability estimation with pore network modeling
    11. Plant growth-promoting rhizobacterium Bacillus megaterium modulates the expression of antioxidant-related and drought-responsive genes to protect rice (Oryza sativa L.) from drought
    12. Hydrogeochemical factors influencing the dynamics of groundwater characteristics in eco-sensitive areas of the Southern Western Ghats, India
    13. Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long‐Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs
    14. Impact of climate change on maternal health outcomes: An evidence gap map review
    15. Changing Human Behavior to Conserve Biodiversity
    16. Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC)
    17. Comparing the seasonal relationship of land surface temperature with vegetation indices and other land surface indices
    18. How human activities affect and reduce ecological sensitivity under climate change: Case study of the Yangtze River Economic Belt, China
    19. Understanding the role of contrails and contrail cirrus in climate change: a global perspective
    20. Consistent increase in East Asian Summer Monsoon rainfall and its variability under climate change over China in CMIP6
    21. Progress in green hydrogen adoption in the African context
  3. Flood Risk Assessment and Extreme Precipitation
    1. NPCC4: Climate change and New York City’s flood risk
    2. Seasonally inundated area extraction based on long time-series surface water dynamics for improved flood mapping
    3. Unlocking urban blue-green infrastructure: an interdisciplinary literature review analysing co-benefits and synergies between bio-physical and socio-cultural outcomes
    4. Real-time regulation of detention ponds via feedback control: Balancing flood mitigation and water quality
  4. Machine Learning and AI for Hydrological Prediction
    1. Pushing the frontiers in climate modelling and analysis with machine learning
    2. Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning
    3. Streamflow forecasting with deep learning models: A side-by-side comparison in Northwest Spain
    4. Drought prediction using artificial intelligence models based on climate data and soil moisture
    5. From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change
    6. Comparative Analysis of Machine-Learning Models for Soil Moisture Estimation Using High-Resolution Remote-Sensing Data
    7. Investigation of a model predictive control (MPC) strategy for seasonal thermochemical energy storage systems in district heating networks
    8. Photoelectric Dual-Mode and Nonvolatile Modulation Based on Ferroelectric Memristors for Reservoir Computing
    9. Enhancing real-time flood forecasting and warning system by integrating ensemble techniques and hydrologic model simulations
    10. Improving flood forecast accuracy based on explainable convolutional neural network by Grad-CAM method
  5. Hydropower and Renewable Energy-Water Systems
    1. Dynamic behaviors of multiphase vortex-induced vibration for hydropower energy conversion
    2. Review of intrusion detection system in cyber‐physical system based networks: Characteristics, industrial protocols, attacks, data sets and challenges
  6. Water Management, Irrigation, and Groundwater
    1. Integrated hybrid membrane system for enhanced water treatment and desalination for environmental preservation
    2. Mapping of irrigated vineyard areas through the use of machine learning techniques and remote sensing
    3. Self-reported anticipated harm from drinking water across 141 countries
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Addressing the microplastic crisis: A multifaceted approach to removal and regulation
    2. Rainfall and water level fluctuations dominated the landslide deformation at Baihetan Reservoir, China
    3. Micro/Nano Hierarchical Crater‐Like Structure Surface With Mechanical Durability and Low‐Adhesion for Anti‐Icing/Deicing
    4. Distribution Control and Environmental Fate of PFAS in the Offshore Region Adjacent to the Yangtze River Estuary─A Study Combining Multiple Phases Analysis.
    5. Assessing flash flood erosion following storm Daniel in Libya
    6. An increase in the spatial extent of European floods over the last 70 years
    7. The impact of land-use change on the ecological environment quality from the perspective of production-living-ecological space: A case study of the northern slope of Tianshan Mountains
    8. Unravelling large-scale patterns and drivers of biodiversity in dry rivers
    9. A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling
    10. Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA
  8. Statistics
    1. Papers by journal
  9. 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.

Step by Step Calculation of the Penman-Monteith Evapotranspiration (FAO-56 Method)

Authors: Lincoln Zotarelli, Michael D. Dukes, Consuelo C. Romero, Kati W. Migliaccio, Kelly T. Morgan

Journal: EDIS · DOI: 10.32473/edis-ae459-2010 · Citations: 305

Matched topics: hydrology, land surface model, earth system model

AE459, a 12-page fact sheet by Lincoln Zotarelli, Michael D. Dukes, Consuelo C. Romero, Kati W. Migliaccio, and Kelly T. Morgan, provides a step-by-step calculation of the reference evapotranspiration (FAO-56 method) for a given location from the available weather data. Includes references. Published by the UF Department of Agricultural and Biological Engineering, February 2010.

Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada

Authors: Piyush Jain, Quinn E. Barber, Stephen Taylor, Ellen Whitman, Dante Castellanos Acuna, Yan Boulanger et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-51154-7 · Citations: 236

Matched topics: drought, land surface model, earth system model

The 2023 wildfire season in Canada was unprecedented in its scale and intensity, spanning from mid-April to late October and across much of the forested regions of Canada. Here, we summarize the main causes and impacts of this exceptional season. The record-breaking total area burned (~15 Mha) can be attributed to several environmental factors that converged early in the season: early snowmelt, multiannual drought conditions in western Canada, and the rapid transition to drought in eastern Ca…

How urban form impacts flooding

Authors: Sarah K. Balaian, Brett F. Sanders, Mohammad Javad Abdolhosseini Qomi

Journal: Nature Communications · DOI: 10.1038/s41467-024-50347-4 · Citations: 87

Matched topics: streamflow, flood, earth system model

Urbanization and climate change are contributing to severe flooding globally, damaging infrastructure, disrupting economies, and undermining human well-being. Approaches to make cities more resilient to floods are emerging, notably with the design of flood-resilient structures, but relatively little is known about the role of urban form and its complexity in the concentration of flooding. We leverage statistical mechanics to reduce the complexity of urban flooding and develop a mean-flow theo…

Timing the first emergence and disappearance of global water scarcity

Authors: Junguo Liu, Delong Li, He Chen, Hong Wang, Yoshihide Wada, Matti Kummu et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-51302-z · Citations: 81

Matched topics: hydrology, hydrologic model, streamflow, land surface model

Alleviating water scarcity is at the core of Sustainable Development Goal 6. Yet the timing of water scarcity in its onset and possible relief in different regions of the world due to climate change and changing human population dynamics remains poorly investigated. Here we assess the timing of the first emergence of water scarcity (FirstWS) and disappearance of water scarcity (EndWS), by using ensembles of simulations with six Global Hydrological Models under two representative concentration…

Global expansion of human-wildlife overlap in the 21st century

Authors: Deqiang Ma, Briana Abrahms, Jacob E. Allgeier, Tim Newbold, Brian C. Weeks, Neil Carter

Journal: Science Advances · DOI: 10.1126/sciadv.adp7706 · Citations: 58

Matched topics: land surface model

Understanding the extent to which people and wildlife overlap in space and time is critical for the conservation of biodiversity and ecological services. Yet, how global change will reshape the future of human-wildlife overlap has not been assessed. We show that the potential spatial overlap of global human populations and 22,374 terrestrial vertebrate species will increase across ~56.6% and decrease across only ~11.8% of the Earth’s terrestrial surface by 2070. Increases are driven primarily…

Integrating climate change predictions into infrastructure degradation modelling using advanced markovian frameworks to enhanced resilience

Authors: Ali Shehadeh, Odey Alshboul, Mohammad F. Tamimi

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.122234 · Citations: 52

Matched topics: climate change

Abstract not available.

Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions

Authors: Kaleem Mehmood, Shoaib Ahmad Anees, Akhtar Rehman, Nazir Ur Rehman, Sultan Muhammad, Fahad Shahzad et al.

Journal: Trees Forests and People · DOI: 10.1016/j.tfp.2024.100657 · Citations: 50

Matched topics: hydropower

Elevation gradients significantly influence net primary productivity (NPP), but the relationship between elevation, climate variables, and vegetation productivity remains underexplored, particularly in diverse ecological zones. This study quantifies the impact of elevation and climatic variables on NPP in northern Pakistan, hypothesizing that elevation modulates NPP through its influence on temperature and precipitation patterns. Using remote sensing data (MODIS ERA5) and advanced ecological …

Improved identification and monitoring of meteorological, agricultural, and hydrological droughts using the modified nonstationary drought indices in the Yellow River Basin of China

Authors: Ben Niu, Yi Li, De Li Liu, Lulu Xie, Lei Wang, Xiaohui Jiang et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131788 · Citations: 27

Matched topics: hydrologic model, river, runoff, drought

Abstract not available.

Review of CO2 Fracturing and Carbon Storage in Shale Reservoirs

Authors: Lei Han, Xian Shi, Hongjian Ni, Weidong Zhang, Qi Gao

Journal: Energy & Fuels · DOI: 10.1021/acs.energyfuels.4c01887 · Citations: 38

Matched topics: reservoir

Unconventional oil and gas resources, such as shale gas and tight oil, are increasingly important in the energy structure; however, these reservoirs have poor physical properties and must be transformed for commercial development. Hydraulic fracturing is widely used in unconventional reservoir transformation. However, because of issues, such as water resource consumption, environmental protection, and poor stimulated reservoir volume (SRV), this technology faces increasing limitations. Potent…

Image-based quantitative probing of 3D heterogeneous pore structure in CBM reservoir and permeability estimation with pore network modeling

Authors: Peng Liu, Yulong Zhao, Zhengduo Zhao, Huiming Yang, Baisheng Nie, Hengyi He et al.

Journal: International Journal of Coal Science & Technology · DOI: 10.1007/s40789-024-00722-9 · Citations: 34

Matched topics: reservoir

Abstract Coalbed methane (CBM) recovery is attracting global attention due to its huge reserve and low carbon burning benefits for the environment. Fully understanding the complex structure of coal and its transport properties is crucial for CBM development. This study describes the implementation of mercury intrusion and μ-CT techniques for quantitative analysis of 3D pore structure in two anthracite coals. It shows that the porosity is 7.04%–8.47% and 10.88%–12.11%, and the pore connectivit…

Authors: Sanghun Lee, Jung-Ae Kim, Jeongsup Song, Seonbong Choe, Geupil Jang, Yangseon Kim

Journal: Frontiers in Microbiology · DOI: 10.3389/fmicb.2024.1430546 · Citations: 34

Matched topics: drought

). In conclusion, CACC109 and CACC119 are promising biostimulants for enhancing plant growth and conferring resistance to abiotic stresses in crop production. Future studies should conduct field trials to validate these findings under real agricultural conditions, optimize inoculation methods for practical use, and further investigate the biochemical and physiological responses underlying the observed benefits.

Hydrogeochemical factors influencing the dynamics of groundwater characteristics in eco-sensitive areas of the Southern Western Ghats, India

Authors: Pankaj Bakshe, M. D. Subash Chandran, Bindu J. Viju, Aneesh Kumar Narikkatan, Ravin Jugade

Journal: Scientific Reports · DOI: 10.1038/s41598-024-67988-6 · Citations: 30

Matched topics: hydrology

are derived from anthropogenic sources. Principal component analysis (PCA) resulted in three factors. Factor 1 is for geogenic processes, while Factors 2 and 3 imply the anthropogenic and weathering of iron-rich minerals. Hierarchical cluster analysis defines anthropogenic input, silicate and carbonate weathering, and different patterns of mineralization in the groundwater. The study underscores the need for comprehensive management to protect groundwater quality, considering the complex inte…

Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long‐Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs

Authors: Caelan Simeone, John C. Hammond, S. A. Archfield, Dan Broman, Laura E. Condon, Hisham Eldardiry et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2024gl109476 · Citations: 19

Matched topics: hydrology, streamflow, reservoir

Abstract Hydrological drought is a pervasive and reoccurring challenge in managing water resources. Reservoirs are critical for lessening the impacts of drought on water available for many uses. We use a novel and generalized approach to identify periods of unusually low reservoir storage—via comparisons to operational rule curves and historical patterns—to investigate how droughts affect storage in 250 reservoirs across the conterminous U.S. (CONUS). We find that the maximum amount of water …

Impact of climate change on maternal health outcomes: An evidence gap map review

Authors: Salima Meherali, Saba Nisa, Yared Asmare Aynalem, Megan Kennedy, Bukola Salami, Samuel Adjorlolo et al.

Journal: PLOS Global Public Health · DOI: 10.1371/journal.pgph.0003540 · Citations: 22

Matched topics: climate change, hydropower

Climate change poses unique challenges to maternal well-being and increases complications during pregnancy and childbirth globally. This evidence gap map (EGM) aims to identify gaps in existing knowledge and areas where further research related to climate change and its impact on maternal health is required. The following databases were searched individually from inception to present: Medline, EMBASE, and Global Health via OVID; Cumulative Index to Nursing and Allied Health Literature (CINAHL…

Changing Human Behavior to Conserve Biodiversity

Authors: Diogo Veríssimo, Katie Blake, Hilary Byerly Flint, Hunter Doughty, Dulce Espelosin, Emily A. Gregg et al.

Journal: Annual Review of Environment and Resources · DOI: 10.1146/annurev-environ-111522-103028 · Citations: 26

Matched topics: hydrology

Conservation of biodiversity is above all else an exercise in human persuasion. Human behavior drives all substantive threats to biodiversity; therefore, influencing it is the only path to mitigating the current extinction crisis. We review the literature across three different axes to highlight current evidence on influencing human behavior for conservation. First, we look at behavioral interventions to mitigate different threats, from pollution and climate change to invasive species and hum…

Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC)

Authors: Haijiang Wu, Xiaoling Su, Vijay P. Singh, Jiping Niu

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131901 · Citations: 26

Matched topics: drought

Abstract not available.

Comparing the seasonal relationship of land surface temperature with vegetation indices and other land surface indices

Authors: Anupam Pandey, Arun Mondal, Subhanil Guha, Pradeep Kumar Upadhyay, Rashmi Rashmi, Sananda Kundu

Journal: Geology Ecology and Landscapes · DOI: 10.1080/24749508.2024.2392391 · Citations: 26

Matched topics: seasonal

Land surface temperature (LST) is largely influenced by various biophysical properties of land surface materials, especially in urban areas where multiple spectral bands directly impact LST. The present study compares the seasonal relationship of LST with six vegetation indices, one built-up index, one water index and one soil index in Imphal City, India, using Landsat 8 satellite images from the summer and winter of 2021. The study found that these nine indices exhibit different responses to…

How human activities affect and reduce ecological sensitivity under climate change: Case study of the Yangtze River Economic Belt, China

Authors: Wei Yaqian, Min An, Jin Huang, Xue Fang, Mengfei Song, Bei Wang et al.

Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2024.143438 · Citations: 20

Matched topics: river, climate change

Abstract not available.

Understanding the role of contrails and contrail cirrus in climate change: a global perspective

Authors: Dharmendra Kumar Singh, Swarnali Sanyal, Donald J. Wuebbles

Journal: Atmospheric chemistry and physics · DOI: 10.5194/acp-24-9219-2024 · Citations: 20

Matched topics: climate change, earth system model

Abstract. Globally, emissions from aviation affect Earth’s climate via complex processes. Contrail cirrus and carbon dioxide emissions are the largest factors contributing to aviation’s radiative forcing on climate. Contrail cirrus, like natural cirrus clouds, impacts Earth’s climate. Even with the extensive ongoing research, the relative importance of the climate effects of contrails compared to other aviation effects on climate still has major uncertainties requiring further research. Contr…

Consistent increase in East Asian Summer Monsoon rainfall and its variability under climate change over China in CMIP6

Authors: Anja Katzenberger, Anders Levermann

Journal: Earth System Dynamics · DOI: 10.5194/esd-15-1137-2024 · Citations: 24

Matched topics: climate change

Abstract. The East Asian Monsoon (EAM) dominates the climate over the densely populated region of eastern China and adjacent regions and therefore influences a fifth of the world’s population. Thus, it is highly relevant to assess the changes in the central characteristics of the East Asian Summer Monsoon (EASM) under future warming in the latest generation of coupled climate models of the Coupled Model Intercomparison Project Phase 6 (CMIP6). We apply a set of selection criteria to 34 CMIP6 …

Progress in green hydrogen adoption in the African context

Authors: Enoch I. Obanor, Joseph O. Dirisu, Oluwaseun Kilanko, Enesi Y. Salawu, O. O. Ajayi

Journal: Frontiers in Energy Research · DOI: 10.3389/fenrg.2024.1429118 · Citations: 24

Matched topics: hydropower

Hydrogen is an abundant element and a flexible energy carrier, offering substantial potential as an environmentally friendly energy source to tackle global energy issues. When used as a fuel, hydrogen generates only water vapor upon combustion or in fuel cells, presenting a means to reduce carbon emissions in various sectors, including transportation, industry, and power generation. Nevertheless, conventional hydrogen production methods often depend on fossil fuels, leading to carbon emission…

Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 4 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.

NPCC4: Climate change and New York City’s flood risk

Authors: B. Rosenzweig, Franco Montalto, Philip Orton, Joel Kaatz, Nicole Maher, Jerry Kleyman et al.

Journal: Annals of the New York Academy of Sciences · DOI: 10.1111/nyas.15175 · Citations: 25

Matched topics: flood, climate change

This chapter of the New York City Panel on Climate Change 4 (NPCC4) report provides a comprehensive description of the different types of flood hazards (pluvial, fluvial, coastal, groundwater, and compound) facing New York City and provides climatological context that can be utilized, along with climate change projections, to support flood risk management (FRM). Previous NPCC reports documented coastal flood hazards and presented trends in historical and future precipitation and sea level but…

Seasonally inundated area extraction based on long time-series surface water dynamics for improved flood mapping

Authors: Bingyu Zhao, Jianjun Wu, Meng Chen, Jingyu Lin, Ruohua Du

Journal: ISPRS Journal of Photogrammetry and Remote Sensing · DOI: 10.1016/j.isprsjprs.2024.08.002 · Citations: 10

Matched topics: hydrologic model, flood, seasonal, land surface model, surface water

Abstract not available.

Unlocking urban blue-green infrastructure: an interdisciplinary literature review analysing co-benefits and synergies between bio-physical and socio-cultural outcomes

Authors: Tyler McNabb, Frances J. Charters, Edward Challies, Rita Dionisio

Journal: Blue-Green Systems · DOI: 10.2166/bgs.2024.007 · Citations: 28

Matched topics: water management

ABSTRACT Conventional methods of urbanization and risk management have exposed communities to multiple climatic, ecological, and social vulnerabilities. Urban blue-green infrastructure (BGI) refers to a range of nature-based approaches to mitigating the impacts of hazards and enhancing the connections between natural and social capitals, with a particular focus on the presence and management of water elements. However, the bio-physical benefits of BGI are often prioritized over a wider range …

Real-time regulation of detention ponds via feedback control: Balancing flood mitigation and water quality

Authors: Marcus N. Gomes, Ahmad F. Taha, Luis Miguel Castillo Rápalo, Eduardo Mário Mendiondo, Marcio H. Giacomoni

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131866 · Citations: 15

Matched topics: hydrologic model, runoff, flood

Abstract not available.

Machine Learning and AI for Hydrological Prediction

This week’s 10 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.

Pushing the frontiers in climate modelling and analysis with machine learning

Authors: Veronika Eyring, William D. Collins, Pierre Gentine, Elizabeth A. Barnes, Marcelo Barreiro, Tom Beucler et al.

Journal: Nature Climate Change · DOI: 10.1038/s41558-024-02095-y · Citations: 121

Matched topics: earth system model

Abstract not available.

Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning

Authors: Zushuai Wei, Linguang Miao, Jian Peng, Tianjie Zhao, Lingkui Meng, Hui Lü et al.

Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2024.114371 · Citations: 67

Matched topics: hydrologic model

Abstract not available.

Streamflow forecasting with deep learning models: A side-by-side comparison in Northwest Spain

Authors: Juan F. Farfán, Luís Cea

Journal: Earth Science Informatics · DOI: 10.1007/s12145-024-01454-9 · Citations: 34

Matched topics: hydrology, hydrologic model, streamflow

Abstract Accurate hourly streamflow prediction is crucial for managing water resources, particularly in smaller basins with short response times. This study evaluates six deep learning (DL) models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolutional Neural Network (CNN), and their hybrids (CNN-LSTM, CNN-GRU, CNN-Recurrent Neural Network (RNN)), across two basins in Northwest Spain over a ten-year period. Findings reveal that GRU models excel, achieving Nash-Sutc…

Drought prediction using artificial intelligence models based on climate data and soil moisture

Authors: Mhamd Saifaldeen Oyounalsoud, Abdullah Gokhan Yilmaz, Mohamed Abdallah, Abdulrahman Abdeljaber

Journal: Scientific Reports · DOI: 10.1038/s41598-024-70406-6 · Citations: 40

Matched topics: runoff, drought

Drought is deemed a major natural disaster that can lead to severe economic and social implications. Drought indices are utilized worldwide for drought management and monitoring. However, as a result of the inherent complexity of drought phenomena and hydroclimatic condition differences, no universal drought index is available for effectively monitoring drought across the world. Therefore, this study aimed to develop a new meteorological drought index to describe and forecast drought based on…

From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change

Authors: Navid Mahdizadeh Gharakhanlou, Liliana Pérez

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.175764 · Citations: 41

Matched topics: climate change

Accurate crop yield predictions are crucial for farmers and policymakers. Despite the widespread use of ensemble machine learning (ML) models in computer science, their application in crop yield prediction remains relatively underexplored. This study, conducted in Canada, aims to assess the potential of five distinct ensemble ML models-Adaptive Boosting (AdaBoost), Gradient Boosting Machine (GBM), XGBoost, LightGBM, and Random Forest (RF)-in predicting crop yields chosen for their ability to …

Comparative Analysis of Machine-Learning Models for Soil Moisture Estimation Using High-Resolution Remote-Sensing Data

Authors: Ming Li, Yueguan Yan

Journal: Land · DOI: 10.3390/land13081331 · Citations: 34

Matched topics: hydrology, hydrologic model

Soil moisture is an important component of the hydrologic cycle and ecosystem functioning, and it has a significant impact on agricultural production, climate change and natural disasters. Despite the availability of machine-learning techniques for estimating soil moisture from high-resolution remote-sensing imagery, including synthetic aperture radar (SAR) data and optical remote sensing, comprehensive comparative studies of these techniques remain limited. This paper addresses this gap by s…

Investigation of a model predictive control (MPC) strategy for seasonal thermochemical energy storage systems in district heating networks

Authors: Zhichen Wei, Paige Wenbin Tien, John Kaiser Calautit, Jo Darkwa, Mark Worall, Rabah Boukhanouf

Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.124164 · Citations: 36

Matched topics: seasonal

This research investigates the integration of model predictive control (MPC) with seasonal thermochemical energy storage systems (STES) within district heating networks, focusing on the Nottingham district heating as a case study. The primary aim is to develop an MPC strategy that utilizes machine learning models for accurate heat load forecasting. This strategy optimizes the charging and discharging cycles of thermochemical energy storage systems to mitigate the mismatch between heating ener…

Photoelectric Dual-Mode and Nonvolatile Modulation Based on Ferroelectric Memristors for Reservoir Computing

Authors: Dongliang Li, Xin‐Gui Tang, Wen‐Min Zhong, Qi‐Jun Sun, Dong-Ping Yang, Yan‐Ping Jiang et al.

Journal: ACS Sustainable Chemistry & Engineering · DOI: 10.1021/acssuschemeng.4c05355 · Citations: 34

Matched topics: reservoir

Drawing on the function of biological synapses, the development of electronic synaptic devices aims to achieve a neuromorphic computing system with high performance and low energy consumption. In this work, the Ruddlesen–Popper phase Ba2TiO4/TiO2 heterojunction memristor was prepared by the sol–gel method. Hysteresis loops and piezoelectric force microscopy demonstrate excellent ferroelectric properties of Ba2TiO4, which allows the Ba2TiO4-based memristor to exhibit a multiresistive state und…

Enhancing real-time flood forecasting and warning system by integrating ensemble techniques and hydrologic model simulations

Authors: Anant Patel, S. M. Yadav, Ramesh S. V. Teegavarapu

Journal: Journal of Water and Climate Change · DOI: 10.2166/wcc.2024.052 · Citations: 15

Matched topics: hydrology, hydrologic model, streamflow, flood

ABSTRACT Flooding poses a severe threat to communities and infrastructure worldwide, which requires advanced flood forecasting warning systems. In this research paper, a real-time flood forecasting and warning system for the Dharoi Dam in the state of Gujarat, India is developed. This novel system combines ensemble techniques and hydrological modeling simulations to enhance flood prediction accuracy and provides a timely warning. The study focuses on critical gaps in the current flood forecas…

Improving flood forecast accuracy based on explainable convolutional neural network by Grad-CAM method

Authors: Xin Xiang, Shenglian Guo, Zhen Cui, Le Wang, Chong‐Yu Xu

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131867 · Citations: 31

Matched topics: flood

• Proposed a novel framework of the ECNN model that can extract time-related information for flood forecasting. • The Grad-CAM method can quantitatively evaluate the importance of input data and improve the interpretability of the ECNN model. • The ECNN model can significantly improve flood forecasting accuracy, especially in the long forecast horizon. The advent of deep learning techniques has shown promising improvement in flood forecasting accuracy which are crucial for operating reservoir…

Hydropower and Renewable Energy-Water Systems

The integration of hydropower with renewable energy systems is addressed by 2 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.

Dynamic behaviors of multiphase vortex-induced vibration for hydropower energy conversion

Authors: Lin Li, Bin Lu, Weixin Xu, Chengyan Wang, Jiafeng Wu, Dapeng Tan

Journal: Energy · DOI: 10.1016/j.energy.2024.132897 · Citations: 51

Matched topics: hydropower

Abstract not available.

Review of intrusion detection system in cyber‐physical system based networks: Characteristics, industrial protocols, attacks, data sets and challenges

Authors: Ram Ji, Devanand Padha, Yashwant Singh, Surbhi Sharma

Journal: Transactions on Emerging Telecommunications Technologies · DOI: 10.1002/ett.5029 · Citations: 29

Matched topics: hydropower

Abstract Cyber‐Physical Systems (CPSs) provide critical infrastructure for the betterment of human lives thereby integrating cyber and physical components but the fusion of physical and digital components leads to an increase in the attack surface, which in turn provides opportunities for the attackers to intrude on these systems, which can affect the critical services like health care, water treatment facility, the electrical grid, hydropower plant, and so forth. The existing intrusion detec…

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.

Integrated hybrid membrane system for enhanced water treatment and desalination for environmental preservation

Authors: Ala Saleh Alluhaidan, P. Prabu, Shakila Basheer, Romana Aziz, Prem Prakash

Journal: Desalination and Water Treatment · DOI: 10.1016/j.dwt.2024.100722 · Citations: 29

Matched topics: water management

Technology advancements in desalination, water treatment, and energy efficiency are crucial to preserving our planet. It is critical to find solutions for the future that save natural resources and lessen environmental damage because the freshwater shortage is getting worse, and energy demand is increasing. They face various obstacles, even though their breakthroughs are extremely important. Lot of energy can be utilized for the traditional desalination techniques, as it negatively impacts th…

Mapping of irrigated vineyard areas through the use of machine learning techniques and remote sensing

Authors: Esther López-Pérez, Carles Sanchís Ibor, M.A. Jiménez-Bello, Manuel Pulido-Velázquez

Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.108988 · Citations: 14

Matched topics: water management, land surface model, surface water, irrigation

Effective and sustainable management of aquifers in regions with intensive groundwater use for irrigation requirements accurate mapping or irrigated areas to control water resource exploitation and plan rational water usage. This study proposes a cost-effective methodology based on satellite images to identify irrigated areas utilizing surface water and groundwater resources. The methodology integrates soil moisture estimations, environmental variables, and variables that affect to retention …

Self-reported anticipated harm from drinking water across 141 countries

Authors: Joshua D. Miller, Chad Staddon, Aaron Salzberg, Julius B. Lucks, Wändi Bruine de Bruin, Sera L. Young

Journal: Nature Communications · DOI: 10.1038/s41467-024-51528-x · Citations: 24

Matched topics: water management

Perceptions of drinking water safety shape numerous health-related behaviors and attitudes, including water use and valuation, but they are not typically measured. We therefore characterize self-reported anticipated harm from drinking water in 141 countries using nationally representative survey data from the World Risk Poll (n = 148,585 individuals) and identify national- and individual-level predictors. We find that more than half (52.3%) of adults across sampled countries anticipate seriou…

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.

Addressing the microplastic crisis: A multifaceted approach to removal and regulation

Authors: Sina Matavos-Aramyan

Journal: Environmental Advances · DOI: 10.1016/j.envadv.2024.100579 · Citations: 120

Matched topics: water management

• Microplastics’ (MPs) growing threat needs collaborative mitigation efforts. • The review identifies MP knowledge gaps, and proposes research priorities. • MP crisis requires regulatory, social, and technical solutions. • MP pollution needs a holistic governance, innovation, engagement. • Public education of global MP crisis and its impacts must not be overlooked. The presence of microplastics (MPs) in the environment poses a serious threat to both human health and ecosystems. MPs are small …

Rainfall and water level fluctuations dominated the landslide deformation at Baihetan Reservoir, China

Authors: Yaru Zhu, Haijun Qiu, Zijing Liu, Bingfeng Ye, Bingzhe Tang, Yijun Li et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131871 · Citations: 67

Matched topics: reservoir

Abstract not available.

Micro/Nano Hierarchical Crater‐Like Structure Surface With Mechanical Durability and Low‐Adhesion for Anti‐Icing/Deicing

Authors: Sensen Xuan, Lijie Zhuo, Guoqiang Li, Qin Zeng, Jiasong Liu, Jiaxin Yu et al.

Journal: Small · DOI: 10.1002/smll.202404979 · Citations: 63

Matched topics: surface water

Superhydrophobic surfaces have attracted significant attention for their ability to prevent ice formation and facilitate deicing without requiring external energy. However, these surfaces are often vulnerable to damage from external forces, leading to functional failure due to poor mechanical stability, which limits their widespread use. Drawing inspiration from the hierarchical groove of rose petals and the micropapillae of lotus leaves, a simple laser-based method is proposed to create a su…

Distribution Control and Environmental Fate of PFAS in the Offshore Region Adjacent to the Yangtze River Estuary─A Study Combining Multiple Phases Analysis.

Authors: Luying Li, Tongzhu Han, Bo Li, Peng Bai, Xuexi Tang, Yan Zhao

Journal: Environmental Science and Technology · DOI: 10.1021/acs.est.4c03985 · Citations: 59

Matched topics: river

The Yangtze River Estuary is the terminal sink of terrestrial per- and polyfluoroalkyl substances (PFAS) from the Yangtze River, while the environmental fate characteristics of legacy and emerging PFAS around this region have rarely been discussed. Here, 24 targeted PFAS in seawater, sediments, suspended particulate matter (SPM), and plankton in the offshore region adjacent to this estuary were investigated. The three dominant PFAS in all phases were perfluorooctanoic acid (PFOA, 23.8-61.9%),…

Assessing flash flood erosion following storm Daniel in Libya

Authors: Jonathan C.L. Normand, Essam Heggy

Journal: Nature Communications · DOI: 10.1038/s41467-024-49699-8 · Citations: 39

Matched topics: flood

The eastern Mediterranean basin is witnessing increased storm activity impacting populous urban coastal areas that historically were not prone to catastrophic flooding. In the fall of 2023, Storm Daniel struck the eastern coast of Libya, causing unprecedented flash floods with a tragic death toll and large-scale infrastructure damages. We use Sentinel-1A C-band SAR images to characterize the resulting flash flood erosion and sediment load dynamics across the watersheds and to map damages with…

An increase in the spatial extent of European floods over the last 70 years

Authors: Beijing Fang, Emanuele Bevacqua, Oldřich Rakovec, Jakob Zscheischler

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-3755-2024 · Citations: 26

Matched topics: hydrologic model, runoff, flood

Abstract. Floods regularly cause substantial damage worldwide. Changing flood characteristics, e.g., due to climate change, pose challenges to flood risk management. The spatial extent of floods is an important indicator of potential impacts, as consequences of widespread floods are particularly difficult to mitigate. The highly uneven station distribution in space and time, however, limits the ability to quantify flood characteristics and, in particular, changes in flood extents over large r…

The impact of land-use change on the ecological environment quality from the perspective of production-living-ecological space: A case study of the northern slope of Tianshan Mountains

Authors: Yu Cao, Mingyu Zhang, Zhengyong Zhang, Lin Liu, Yu Gao, Xueying Zhang et al.

Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102795 · Citations: 35

Matched topics: land surface model

Elucidating the relationships between production-living-ecological space (PLES) and ecological environments can help identify new strategies to promote sustainable development. The northern slope of the Tianshan Mountains represents a typical complex ecosystem characterized by mountain-oasis-desert interactions in arid regions with prominent human-land conflicts and intricate ecological environments. Here, we analyzed the spatiotemporal variations in land use in the study area from the perspe…

Unravelling large-scale patterns and drivers of biodiversity in dry rivers

Authors: Arnaud Foulquier, Thibault Datry, Roland Corti, Daniel von Schiller, Klement Tockner, Rachel Stubbington et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-50873-1 · Citations: 26

Matched topics: hydrology, river

More than half of the world’s rivers dry up periodically, but our understanding of the biological communities in dry riverbeds remains limited. Specifically, the roles of dispersal, environmental filtering and biotic interactions in driving biodiversity in dry rivers are poorly understood. Here, we conduct a large-scale coordinated survey of patterns and drivers of biodiversity in dry riverbeds. We focus on eight major taxa, including microorganisms, invertebrates and plants: Algae, Archaea, …

A Study of the Effect of DEM Spatial Resolution on Flood Simulation in Distributed Hydrological Modeling

Authors: Hengkang Zhu, Yangbo Chen

Journal: Remote Sensing · DOI: 10.3390/rs16163105 · Citations: 16

Matched topics: hydrologic model, streamflow, flood, land surface model

Watershed hydrological modeling methods are currently the predominant approach for flood forecasting. Digital elevation model (DEM) data, a critical input variable, significantly influence the accuracy of flood simulations, primarily due to their resolution. However, there is a paucity of research exploring the relationship between DEM resolution and flood simulation accuracy. This study aims to investigate this relationship by examining three watersheds of varying scales in southern Jiangxi …

Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA

Authors: Justin Nichols, Eric Joseph, Asmita Kaphle, Paige Tunby, Lina Rodríguez, Aashish Khandelwal et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-51306-9 · Citations: 16

Matched topics: hydrology, runoff, streamflow

. Surface runoff post-fire increased compared to pre-fire conditions, and precipitation events that are frequently observed in the affected watershed (160 km downstream of the burn perimeter. Our findings emphasize the need to incorporate spatially resolved longitudinal sampling designs into wildfire water quality research and highlight the spatiotemporal co-dependency among atmospheric, terrestrial, and aquatic processes in defining the net outcome of wildfire disturbance propagation along i…

Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 806
After deduplication 584
After LLM relevance filtering 50
Rejected (not relevant) 534

Papers by journal

Journal Papers
Nature Communications 7
Journal of Hydrology 5
Scientific Reports 2
EDIS 1
Nature Climate Change 1
Environmental Advances 1
Remote Sensing of Environment 1
Small 1
Environmental Science and Technology 1
Science Advances 1
Journal of Environmental Management 1
Energy 1
Trees Forests and People 1
Earth Science Informatics 1
The Science of The Total Environment 1
Land 1
Energy & Fuels 1
Applied Energy 1
Hydrology and earth system sciences 1
Ecological Informatics 1
ACS Sustainable Chemistry & Engineering 1
International Journal of Coal Science & Technology 1
Frontiers in Microbiology 1
Journal of Water and Climate Change 1
Remote Sensing 1
Annals of the New York Academy of Sciences 1
ISPRS Journal of Photogrammetry and Remote Sensing 1
Desalination and Water Treatment 1
Transactions on Emerging Telecommunications Technologies 1
Geophysical Research Letters 1
Agricultural Water Management 1
Blue-Green Systems 1
PLOS Global Public Health 1
Annual Review of Environment and Resources 1
Geology Ecology and Landscapes 1
Journal of Cleaner Production 1
Atmospheric chemistry and physics 1
Earth System Dynamics 1
Frontiers in Energy Research 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

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