Weekly Literature Review

Week 22 · May 27–June 2, 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 Effects of climate change on plant pathogens and host-pathogen interactions, with 185 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. Effects of climate change on plant pathogens and host-pathogen interactions
    2. Impact of environmental pollution from human activities on water, air quality and climate change
    3. Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion
    4. Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods
    5. Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the eastern shore of Virginia, United States.
    6. Global groundwater warming due to climate change
    7. Drought-Tolerant Bacteria and Arbuscular Mycorrhizal Fungi Mitigate the Detrimental Effects of Drought Stress Induced by Withholding Irrigation at Critical Growth Stages of Soybean (Glycine max, L.)
    8. Climate changes and food-borne pathogens: the impact on human health and mitigation strategy
    9. CERRA, the Copernicus European Regional Reanalysis system
    10. Climate change impacts on Central Asia: Trends, extremes and future projections
    11. Efficient adsorptive removal of 2,4-Dichlorophenoxyacetic acid (2,4-D) using biomass derived magnetic activated carbon nanocomposite in synthetic and simulated agricultural runoff water.
    12. The critical role of energy transition in addressing climate change at COP28
    13. Global biogeography of microbes driving ocean ecological status under climate change
    14. Hydrological Research Evolution: A Large Language Model‐Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023
    15. Global hydrological models continue to overestimate river discharge
    16. Recent Advanced Developments and Prospects of Surface Functionalized MXenes-Based Hybrid Composites toward Electrochemical Water Splitting Applications
    17. MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)
    18. Regional uniqueness of tree species composition and response to forest loss and climate change
    19. Storylines for Global Hydrologic Drought Within CMIP6
    20. Enhanced Modulation of Streamflow Flash Droughts by Reservoir Operations in India
  3. Flood Risk Assessment and Extreme Precipitation
    1. Global, regional and national trends and impacts of natural floods, 1990–2022
    2. Pore-scale investigation of CO2-oil miscible flooding in tight reservoir
    3. Land use and river-lake connectivity: Biodiversity determinants of lake ecosystems
    4. Impacts of future climate and land use/land cover change on urban runoff using fine-scale hydrologic modeling
    5. Global systematical and comprehensive overview of mountainous flood risk under climate change and human activities
    6. Evaluating the Impact of Digital Elevation Models on Urban Flood Modeling: A Comprehensive Analysis of Flood Inundation, Hazard Mapping, and Damage Estimation
  4. Machine Learning and AI for Hydrological Prediction
    1. Utilizing Deep Learning and the Internet of Things to Monitor the Health of Aquatic Ecosystems to Conserve Biodiversity
    2. Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models
    3. Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand
    4. Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring
    5. Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco
    6. A process-driven deep learning hydrological model for daily rainfall-runoff simulation
    7. Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis.
    8. In-depth simulation of rainfall–runoff relationships using machine learning methods
    9. A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
  5. Hydropower and Renewable Energy-Water Systems
    1. E. Vagnoni et al.: The new role of sustainable hydropower in flexible energy systems and its technical evolution through innovation and digitalization
  6. Water Management, Irrigation, and Groundwater
    1. Impact of agricultural technological innovation on total-factor agricultural water usage efficiency: Evidence from 31 Chinese Provinces
    2. Identifying the spatio-seasonal pattern of hydrochemical evolution and surface water-groundwater interaction in a large urban river basin, Northwest China.
    3. Towards a Greener Tomorrow: Exploring the Potential of AI, Blockchain, and IoT in Sustainable Development
    4. Burr-hole drainage with or without irrigation for chronic subdural haematoma (FINISH): a Finnish, nationwide, parallel-group, multicentre, randomised, controlled, non-inferiority trial
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Understanding the Asian water tower requires a redesigned precipitation observation strategy
    2. Disaster effects of climate change in High Mountain Asia: State of art and scientific challenges
    3. Development of a Distributed Physics‐Informed Deep Learning Hydrological Model for Data‐Scarce Regions
    4. Coupling Reservoir Operation and Rainfall‐Runoff Processes for Streamflow Simulation in Watersheds
    5. Spatial and Temporal Analysis of Surface Water Pollution Indices Using Statistical Methods
    6. Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate
    7. Urea-rich sodium alginate-based hydrogel fertilizer as a water reservoir and slow-release N carrier for tomato cultivation under different water-deficit levels
    8. Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
    9. eDNA reveals spatial homogenization of fish diversity in a mountain river affected by a reservoir cascade
    10. The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis
  8. Statistics
    1. Papers by journal
  9. 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.

Effects of climate change on plant pathogens and host-pathogen interactions

Authors: Rachid Lahlali, Mohammed Taoussi, Salah‐Eddine Laasli, Grace Gachara, Rachid Ezzouggari, Zineb Belabess et al.

Journal: Crop and Environment · DOI: 10.1016/j.crope.2024.05.003 · Citations: 185

Matched topics: climate change

Crop production stands as a pivotal pillar of global food security, but its sustainability faces complex challenges from plant diseases, which pose a substantial threat to agricultural productivity. Climate change significantly alters the dynamics of plant pathogens, primarily through changes in temperature, humidity, and precipitation patterns, which can enhance the virulence and spread of various plant diseases. Indeed, the increased frequency of extreme weather events, which is a direct co…

Impact of environmental pollution from human activities on water, air quality and climate change

Authors: G. Edo, Lilian O. Itoje-Akpokiniovo, Promise Obasohan, Victor Ovie Ikpekoro, Prince Samuel, A. N. Jikah et al.

Journal: Ecological Frontiers · DOI: 10.1016/j.ecofro.2024.02.014 · Citations: 177

Matched topics: climate change

Abstract not available.

Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion

Authors: Fenglin Xu, Guoqing Zhang, R. Iestyn Woolway, Kun Yang, Yoshihide Wada, Jida Wang et al.

Journal: Nature Geoscience · DOI: 10.1038/s41561-024-01446-w · Citations: 120

Matched topics: hydrologic model, water management, surface water

Lakes on the Tibetan Plateau are expanding rapidly in response to climate change. The potential impact on the local environment if lake expansion continues remains uncertain. Here we integrate field surveys, remote sensing observations and numerical modelling to assess future changes in lake surface area, water level and water volume. We also assess the ensuing risks to critical infrastructure, human settlements and key ecosystem components. Our results suggest that by 2100, even under a low-…

Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods

Authors: Tongxi Hu, Xuesong Zhang, Sami Khanal, Robyn Wilson, G. Leng, E. Toman et al.

Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.106119 · Citations: 115

Matched topics: climate change

Understanding crop responses to climate change is crucial for ensuring food security. Here, we reviewed ~230 statistical crop modeling studies for major crops and summarized recent progress in estimating climate change impacts on crop yields. Evidence was strong that increasing temperatures reduce crop yields. A 1 ◦ C warming decreased the yields by 7.5 ± 5.3% (maize), 6.0 ± 3.3% (wheat), 6.8 ± 5.9% (soybean)

Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the eastern shore of Virginia, United States.

Authors: T. Tran, Venkataraman Lakshmi

Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2024.174289 · Citations: 110

Matched topics: climate change

Quantifying the impacts of climate change on hydrological systems is crucial for developing adaptive strategies in water resources management. In this work, we quantify the future climate impacts on hydroclimatic extremes in the risk-prone, coastal, 15-m-above-sea-level Eastern Shore of Virginia (ESVA) region, utilizing the Sixth International Coupled Model Intercomparison Project (CMIP6) Assessment Report 6 (AR6) and General Circulation Models (GCMs). In addition, we incorporate historical d…

Global groundwater warming due to climate change

Authors: S. Benz, Dylan J. Irvine, Gabriel C. Rau, P. Bayer, K. Menberg, Philipp Blum et al.

Journal: Nature Geoscience · DOI: 10.1038/s41561-024-01453-x · Citations: 104

Matched topics: climate change

Aquifers contain the largest store of unfrozen freshwater, making groundwater critical for life on Earth. Surprisingly little is known about how groundwater responds to surface warming across spatial and temporal scales. Focusing on diffusive heat transport, we simulate current and projected groundwater temperatures at the global scale. We show that groundwater at the depth of the water table (excluding permafrost regions) is conservatively projected to warm on average by 2.1 °C between 2000 …

Drought-Tolerant Bacteria and Arbuscular Mycorrhizal Fungi Mitigate the Detrimental Effects of Drought Stress Induced by Withholding Irrigation at Critical Growth Stages of Soybean (Glycine max, L.)

Authors: A. Nader, Fathi I. A. Hauka, Aida H. Afify, A. El-Sawah

Journal: Microorganisms · DOI: 10.3390/microorganisms12061123 · Citations: 62

Matched topics: drought, irrigation

Considering current global climate change, drought stress is regarded as a major problem negatively impacting the growth of soybeans, particularly at the critical stages R3 (early pod) and R5 (seed development). Microbial inoculation is regarded as an ecologically friendly and low-cost-effective strategy for helping soybean plants withstand drought stress. The present study aimed to isolate newly drought-tolerant bacteria from native soil and evaluated their potential for producing growth-pro…

Climate changes and food-borne pathogens: the impact on human health and mitigation strategy

Authors: Dina A. B. Awad, Hazem A. Masoud, Ahmed Hamad

Journal: Climatic Change · DOI: 10.1007/s10584-024-03748-9 · Citations: 67

Matched topics: climate change

Abstract Climate change has emerged as a major pressing global issue with far-reaching implications for human health, such as the emerging and spread of food-borne pathogens. Food-borne pathogens are microorganisms that can cause illness in humans, from mild discomfort to life-threatening diseases, through the consumption of contaminated food or water. The impact of climate change on food-borne pathogens is multifaceted and includes changes in the environment, agriculture, and human behavior….

CERRA, the Copernicus European Regional Reanalysis system

Authors: Martin Ridal, Éric Bazile, Patrick Le Moigne, Roger Randriamampianina, Semjon Schimanke, Ulf Andrae et al.

Journal: Quarterly Journal of the Royal Meteorological Society · DOI: 10.1002/qj.4764 · Citations: 56

Matched topics: land surface model

Abstract A regional reanalysis has been produced for a domain covering entire Europe from 1984 to 2021. The reanalysis is produced as part of the Copernicus Climate Change Service. The Service provides the high‐resolution deterministic Copernicus European Regional Reanalysis (CERRA), run at a horizontal resolution of 5.5 km, a 10‐member ensemble run at 11‐km resolution as well as an offline surface analysis, CERRA‐Land. CERRA‐EDA uses an ensemble data assimilation (EDA) technique to perturb t…

Authors: Bijan Fallah, Iulii Didovets, Masoud Rostami, Mehdi Hamidi

Journal: International Journal of Climatology · DOI: 10.1002/joc.8519 · Citations: 50

Matched topics: hydrologic model, climate change

Abstract Central Asia (CA) is among the world’s most vulnerable regions to climate change. Increasing anthropogenic greenhouse gas concentrations (GHGs) are the primary forcing of the current and future climate system for the time scale of a century. By analysing observation datasets, we show that a warming of 1.2°C led to a decrease of 20% in snow‐depth CA during the last 70 years, especially over the mountains. In recent decades, longer summer times and fewer icing days (more than 20 days·y…

Efficient adsorptive removal of 2,4-Dichlorophenoxyacetic acid (2,4-D) using biomass derived magnetic activated carbon nanocomposite in synthetic and simulated agricultural runoff water.

Authors: Adithya Samanth, Raja Selvaraj, Gokulakrishnan Murugesan, T. Varadavenkatesan, R. Vinayagam

Journal: Chemosphere · DOI: 10.1016/j.chemosphere.2024.142513 · Citations: 49

Matched topics: runoff

This study focused on evaluating the efficacy of a magnetic activated carbon material (CPAC@Fe3O4) derived from pods of copper pod tree in adsorbing the toxic herbicide 2,4-dichloro phenylacetic acid (2,4-D) from aqueous solution. The synthesised adsorbent, CPAC@Fe3O4 underwent various characterization techniques. FESEM images indicated a rough surface, incorporating iron oxide nanoparticles, while EDS analysis confirmed the presence of elements like Fe, O, and C. Notably, the CPAC@Fe3O4 exhi…

The critical role of energy transition in addressing climate change at COP28

Authors: Haoxuan Yu, Bodong Wen, Izni Zahidi, Chow Ming Fai, Dongfang Liang, Dag Øivind Madsen

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.102324 · Citations: 43

Matched topics: climate change

The paper outlines the urgency and strategies for transitioning from fossil fuels to renewable energy discussed at the 2023 Climate Change Conference (COP28). It emphasizes the Paris Agreement’s role and highlights the environmental harm of fossil fuels, advocating for sustainable alternatives like solar, wind, hydro, and geothermal power. This transition is crucial for reducing greenhouse gas emissions and promoting economic and health benefits. Key findings reveal advancements in renewable …

Global biogeography of microbes driving ocean ecological status under climate change

Authors: Zhenyan Zhang, Qi Zhang, Bingfeng Chen, Yitian Yu, Tingzhang Wang, Nuohan Xu et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-49124-0 · Citations: 41

Matched topics: climate change

Microbial communities play a crucial role in ocean ecology and global biogeochemical processes. However, understanding the intricate interactions among diversity, taxonomical composition, functional traits, and how these factors respond to climate change remains a significant challenge. Here, we propose seven distinct ecological statuses by systematically considering the diversity, structure, and biogeochemical potential of the ocean microbiome to delineate their biogeography. Anthropogenic c…

Hydrological Research Evolution: A Large Language Model‐Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023

Authors: Chiyuan Miao, Jinlong Hu, Hamid Moradkhani, Georgia Destouni

Journal: Water Resources Research · DOI: 10.1029/2024wr038077 · Citations: 29

Matched topics: hydrology, hydrologic model, streamflow

Abstract Hydrology plays a crucial role in understanding Earth’s intricate water system and addressing water‐related problems, including against the backdrop of ongoing climate change. A retrospective review of the evolution of hydrology up to the current state of research is of great importance for understanding this role. While there have been some quantitative reviews of large numbers of hydrological publications, there still remains a lack of overarching hydrological research assessment, …

Global hydrological models continue to overestimate river discharge

Authors: Stefanie Heinicke, Jan Volkholz, Jacob Schewe, Simon N. Gosling, Hannes Müller Schmied, Sandra Zimmermann et al.

Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ad52b0 · Citations: 26

Matched topics: hydrologic model, river, streamflow

Abstract Global hydrological models (GHMs) are widely used to assess the impact of climate change on streamflow, floods, and hydrological droughts. For the ‘model evaluation and impact attribution’ part of the current round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a), modelling teams generated historical simulations based on observed climate and direct human forcings with updated model versions. Here we provide a comprehensive evaluation of daily and maximum annual d…

Recent Advanced Developments and Prospects of Surface Functionalized MXenes-Based Hybrid Composites toward Electrochemical Water Splitting Applications

Authors: Rakesh Kulkarni, Lakshmi Prasanna Lingamdinne, Janardhan Reddy Koduru, Rama Rao Karri, Yoon‐Young Chang, Suresh Kumar Kailasa et al.

Journal: ACS Materials Letters · DOI: 10.1021/acsmaterialslett.4c00034 · Citations: 35

Matched topics: surface water

The rapid growth of the global population and industry has increased global warming and energy consumption. Clean, sustainable, and renewable sources of energy must be employed if this critical problem is to be resolved. Hydrogen (H2) has become one of the most promising fuel sources within the range of alternatives. A noteworthy method of creating hydrogen is by electrochemically splitting water into H2 and O2. As a result, the need for inexpensive, accessible catalysts with remarkable catal…

MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022)

Authors: Fangbo Pan, Lingmei Jiang, Gongxue Wang, Jinmei Pan, Jinyu Huang, Cheng Zhang et al.

Journal: Earth system science data · DOI: 10.5194/essd-16-2501-2024 · Citations: 30

Matched topics: hydrologic model, land surface model

Abstract. Accurate long-term daily cloud-gap-filled fractional snow cover products are essential for climate change and snow hydrological studies in the Asian Water Tower (AWT) region, but existing Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products are not sufficient. In this study, the multiple-endmember spectral mixture analysis algorithm based on automatic endmember extraction (MESMA-AGE) and the multistep spatiotemporal interpolation algorithm (MSTI) are used to pro…

Regional uniqueness of tree species composition and response to forest loss and climate change

Authors: Nina van Tiel, Fabian Fopp, Philipp Brun, Johan van den Hoogen, Dirk Nikolaus Karger, Cecilia M. Casadei et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-48276-3 · Citations: 34

Matched topics: climate change

The conservation and restoration of forest ecosystems require detailed knowledge of the native plant compositions. Here, we map global forest tree composition and assess the impacts of historical forest cover loss and climate change on trees. The global occupancy of 10,590 tree species reveals complex taxonomic and phylogenetic gradients determining a local signature of tree lineage assembly. Species occupancy analyses indicate that historical forest loss has significantly restricted the pote…

Storylines for Global Hydrologic Drought Within CMIP6

Authors: N. Bjarke, B. Livneh, J. Barsugli

Journal: Earth’s Future · DOI: 10.1029/2023EF004117 · Citations: 16

Matched topics: hydrologic model, runoff, streamflow, drought

Future global increases in the duration and severity of hydrologic drought present an emerging challenge for water resource management. However, projected changes to drought within global climate models are often complex, including potentially co‐occurring changes to the timing, duration, and severity of drought. Here, we apply a storyline approach for interpreting projections of future hydrologic drought to identify coherent narratives that include runoff trends, shifts in the seasonal droug…

Enhanced Modulation of Streamflow Flash Droughts by Reservoir Operations in India

Authors: Rajesh Singh, Vimal Mishra

Journal: Water Resources Research · DOI: 10.1029/2024wr037036 · Citations: 18

Matched topics: streamflow, reservoir, drought, hydropower

Abstract Streamflow flash droughts (SFDs) occur due to a rapid decline in streamflow and cause major challenges associated with water availability for downstream ecosystems, hydropower generation, and irrigation water demand. Human interventions such as reservoir operations and reservoir storage can considerably influence streamflow variability. However, the crucial role of dams/reservoirs on the occurrence of SFDs in India remains unexamined. Using a combination of hydrological and hydrodyna…

Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 6 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.

Authors: Qiao Liu, Min Du, Yaping Wang, Jie Deng, Wenxin Yan, Chenyuan Qin et al.

Journal: Bulletin of the World Health Organization · DOI: 10.2471/blt.23.290243 · Citations: 66

Matched topics: flood

Objective: To assess global, regional and national trends in the impact of floods from 1990 to 2022 and determine factors influencing flood-related deaths. Methods: We used data on flood disasters from the International Disaster Database for 1990-2022 from 168 countries. We calculated the annual percentage change to estimate trends in the rates of people affected and killed by floods by study period, World Health Organization (WHO) region, country income level and flood type. We used multivar…

Pore-scale investigation of CO2-oil miscible flooding in tight reservoir

Authors: Qingyuan Zhu, Keliu Wu, Shiqiang Guo, Fei Peng, Shengting Zhang, Liangliang Jiang et al.

Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.123439 · Citations: 60

Matched topics: reservoir, flood

Abstract not available.

Land use and river-lake connectivity: Biodiversity determinants of lake ecosystems

Authors: Huiyu Xie, Yu Ma, Xiaowei Jin, Shiqi Jia, Xu Zhao, Xianfu Zhao et al.

Journal: Environmental Science and Ecotechnology · DOI: 10.1016/j.ese.2024.100434 · Citations: 41

Matched topics: hydrology, river

biomonitoring dataset spanning from 2011 to 2019 to investigate the spatio-temporal variation of macroinvertebrate communities. We assess the impact of four crucial environmental parameters on Lake Dongting and Lake Taihu, i.e., water quality, hydrology, climate change, and land use. These two systems are representative of lakes with Yangtze-connected and disconnected subtropical floodplains in China. We find an alarming trend of declining taxonomic and functional diversities among macroinver…

Impacts of future climate and land use/land cover change on urban runoff using fine-scale hydrologic modeling

Authors: Lauren Ashley Mayou, Nasrin Alamdari, Ebrahim Ahmadisharaf, Meysam Kamali

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.121284 · Citations: 28

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

Future changes in land use/land cover (LULC) and climate (CC) affect watershed hydrology. Despite past research on estimating such changes, studies on the impacts of both these nonstationary stressors on urban watersheds have been limited. Urban watersheds have several important details such as hydraulic infrastructure that call for fine-scale models to predict the impacts of LULC and CC on watershed hydrology. In this paper, a fine-scale hydrologic model-Personal Computer Storm Water Managem…

Global systematical and comprehensive overview of mountainous flood risk under climate change and human activities

Authors: Madhab Rijal, Pingping Luo, Binaya Kumar Mishra, Meimei Zhou, Xiaohui Wang

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.173672 · Citations: 40

Matched topics: flood, climate change

Abstract not available.

Evaluating the Impact of Digital Elevation Models on Urban Flood Modeling: A Comprehensive Analysis of Flood Inundation, Hazard Mapping, and Damage Estimation

Authors: Zanko Zandsalimi, Sajjad Feizabadi, Jafar Yazdi, Seyed Ali Akbar Salehi Neyshabouri

Journal: Water Resources Management · DOI: 10.1007/s11269-024-03862-4 · Citations: 38

Matched topics: flood

Abstract not available.

Machine Learning and AI for Hydrological Prediction

This week’s 9 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.

Utilizing Deep Learning and the Internet of Things to Monitor the Health of Aquatic Ecosystems to Conserve Biodiversity

Authors: Bobir Odilov, Askariy Madraimov, Otabek Y. Yusupov, Nodir Karimov, Rakhima Alimova, Zukhra Yakhshieva et al.

Journal: Natural and Engineering Sciences · DOI: 10.28978/nesciences.1491795 · Citations: 104

Matched topics: water management

The decline in water conditions contributes to the crisis in clean water biodiversity. The interactions between water conditions indicators and the correlations among these variables and taxonomic groupings are intricate in their impact on biodiversity. However, since there are just a few kinds of Internet of Things (IoT) that are accessible to purchase, many chemical and biological measurements still need laboratory studies. The newest progress in Deep Learning and the IoT allows for the use…

Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models

Authors: Mi Luo, Shoaib Ahmad Anees, Qiuyan Huang, Qin Xin, Zhihao Qin, Jianlong Fan et al.

Journal: Forests · DOI: 10.3390/f15060975 · Citations: 53

Matched topics: streamflow

The accurate estimation of forest above-ground biomass (AGB) is crucial for sustainable forest management and tracking the carbon cycle of forest ecosystem. Machine learning algorithms have been proven to have great potential in forest AGB estimation with remote sensing data. Though many studies have demonstrated that a single machine learning model can produce highly accurate estimations of forest AGB in many situations, efforts are still required to explore the possible improvement in fores…

Advancements in daily precipitation forecasting: A deep dive into daily precipitation forecasting hybrid methods in the Tropical Climate of Thailand

Authors: Muhammad Waqas, Usa Wannasingha Humphries, Phyo Thandar Hlaing, Angkool Wangwongchai, Porntip Dechpichai

Journal: MethodsX · DOI: 10.1016/j.mex.2024.102757 · Citations: 52

Matched topics: streamflow

(0.96) in Model M-2.•The combination of BWT-LSTM-RNN yielded substantial enhancements, constantly surpassing standalone models. Specifically, DPFH-3 exhibited superior performance across multiple observation stations.•The findings emphasize the efficiency of the BWT-LSTM-RNN models in capturing varied precipitation patterns, highlighting their potential to significantly improve the accuracy of precipitation forecasts, particularly in the context of water resource management in central Thailand.

Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring

Authors: W. Utama, R. Indriani, Maman Hermana, I. M. Anjasmara, S. A. Garini, D. P. N. Putra

Journal: Journal of Human Earth and Future · DOI: 10.28991/hef-2024-05-02-06 · Citations: 49

Matched topics: water management

The management and monitoring of land use in geothermal fields are crucial for the sustainable utilization of water resources, as well as for striking a balance between the production of renewable energy and the preservation of the environment. This study primarily compared Support Vector Machine (SVM) and Random Forest (RF) machine learning methods, using satellite imagery from Landsat 8 and Sentinel 2 between 2021 and 2023, to monitor land use in the Patuha geothermal area. The objective is…

Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco

Authors: Bouchra Bargam, A. Boudhar, Christophe Kinnard, H. Bouamri, Karima Nifa, A. Chehbouni

Journal: Discover Applied Sciences · DOI: 10.1007/s42452-024-05994-z · Citations: 45

Matched topics: streamflow

Abstract not available.

A process-driven deep learning hydrological model for daily rainfall-runoff simulation

Authors: Heng Li, Chunxiao Zhang, W. P. Chu, Dingtao Shen, Rongrong Li

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131434 · Citations: 37

Matched topics: hydrologic model, runoff

Abstract not available.

Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis.

Authors: Mahmood Fooladi, M. Nikoo, Rasoul Mirghafari, C. Madramootoo, G. Al-Rawas, Rouzbeh Nazari

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.121259 · Citations: 37

Matched topics: reservoir

Machine learning methodology has recently been considered a smart and reliable way to monitor water quality parameters in aquatic environments like reservoirs and lakes. This study employs both individual and hybrid-based techniques to boost the accuracy of dissolved oxygen (DO) and chlorophyll-a (Chl-a) predictions in the Wadi Dayqah Dam located in Oman. At first, an AAQ-RINKO device (CTD+ sensor) was used to collect water quality parameters from different locations and varying depths in the…

In-depth simulation of rainfall–runoff relationships using machine learning methods

Authors: Mehdi Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, Hazi Mohammad Azamathulla, Upaka Rathnayake, D.P.P. Meddage et al.

Journal: Water Practice & Technology · DOI: 10.2166/wpt.2024.147 · Citations: 33

Matched topics: runoff

ABSTRACT Measurement inaccuracies and the absence of precise parameters value in conceptual and analytical models pose challenges in simulating the rainfall–runoff modeling (RRM). Accurate prediction of water resources, especially in water scarcity conditions, plays a distinctive and pivotal role in decision-making within water resource management. The significance of machine learning models (MLMs) has become pronounced in addressing these issues. In this context, the forthcoming research end…

A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models

Authors: Amina Khatun, M. Nisha., Siddhartha Chatterjee, V. Sridhar

Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.106126 · Citations: 32

Matched topics: streamflow

Abstract not available.

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.

E. Vagnoni et al.: The new role of sustainable hydropower in flexible energy systems and its technical evolution through innovation and digitalization

Authors: E. Vagnoni, Doğan Gezer, I. Anagnostopoulos, Giovanna Cavazzini, Eduard Doujak, Marko Hočevar et al.

Journal: Renewable Energy · DOI: 10.1016/j.renene.2024.120832 · Citations: 45

Matched topics: hydropower

Abstract not available.

Water Management, Irrigation, and Groundwater

Water management research this week spans 4 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.

Impact of agricultural technological innovation on total-factor agricultural water usage efficiency: Evidence from 31 Chinese Provinces

Authors: Wasi Ul Hassan Shah, Gang Hao, Rizwana Yasmeen, Hong Yan, Qi Ye

Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.108905 · Citations: 44

Matched topics: water management

The efficient management of water resources in Chinese agriculture is crucial for ensuring food security and mitigating environmental consequences such as water scarcity and pollution. Agricultural technological innovation is crucial in optimizing agricultural practices and making them more sustainable. To this end, this study investigates the dynamic relationship between agricultural technological innovation and total-factor agricultural water usage efficiency (TFAWUE) in Chinese provinces f…

Identifying the spatio-seasonal pattern of hydrochemical evolution and surface water-groundwater interaction in a large urban river basin, Northwest China.

Authors: Limin Duan, Wenrui Zhang, Yuhao Qiu, Siyi Chen, Donghua Wang, Yanyun Luo et al.

Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2024.173989 · Citations: 35

Matched topics: seasonal, surface water

There is insufficient understanding of the spatio-temporal evolution of surface water-groundwater quality and hydraulic connection under both natural and human influences in urban river basins. To this end, this paper investigated the spatio-seasonal pattern of hydrochemical evolution and surface water-groundwater interaction in a typical urban river basin (Dahei River basin) based on isotopic and hydrochemical data of 132 water samples collected during three seasons (normal, wet and dry seas…

Towards a Greener Tomorrow: Exploring the Potential of AI, Blockchain, and IoT in Sustainable Development

Authors: Megha Chauhan, Deepali Rani Sahoo

Journal: Nature Environment and Pollution Technology · DOI: 10.46488/nept.2024.v23i02.044 · Citations: 39

Matched topics: water management

This article examines the potential for artificial intelligence (AI), blockchain, and the Internet of Things (IoT) to advance sustainability. Through a literature review and critical analysis, the study evaluates the possible advantages, difficulties, and opportunities of utilizing these technologies to support a sustainable future. The research study emphasizes how effective AI is at streamlining resource management, increasing system efficiency, and optimizing energy use. It focuses on the …

Burr-hole drainage with or without irrigation for chronic subdural haematoma (FINISH): a Finnish, nationwide, parallel-group, multicentre, randomised, controlled, non-inferiority trial

Authors: Rahul Raj, Pihla Tommiska, Timo Koivisto, Ville Leinonen, Nils Danner, Jussi P. Posti et al.

Journal: The Lancet · DOI: 10.1016/s0140-6736(24)00686-x · Citations: 37

Matched topics: irrigation

Abstract not available.

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.

Understanding the Asian water tower requires a redesigned precipitation observation strategy

Authors: Chiyuan Miao, Walter W. Immerzeel, Baiqing Xu, Kun Yang, Qingyun Duan, Xin Li

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2403557121 · Citations: 65

Matched topics: runoff

The Asian water tower (AWT) serves as the source of 10 major Asian river systems and supports the lives of ~2 billion people. Obtaining reliable precipitation data over the AWT is a prerequisite for understanding the water cycle within this pivotal region. Here, we quantitatively reveal that the “observed” precipitation over the AWT is considerably underestimated in view of observational evidence from three water cycle components, namely, evapotranspiration, runoff, and accumulated snow. We f…

Disaster effects of climate change in High Mountain Asia: State of art and scientific challenges

Authors: Hao Wang, Binbin Wang, Peng Cui, Yaoming Ma, Yan Wang, Jiansheng Hao et al.

Journal: Advances in Climate Change Research · DOI: 10.1016/j.accre.2024.06.003 · Citations: 55

Matched topics: runoff, climate change, hydropower

High-Mountain Asia (HMA) shows a remarkable warming tendency and divergent trend of regional precipitation with enhanced meteorological extremes. The rapid thawing of the HMA cryosphere may alter the magnitude and frequency of nature hazards. This study reviews the impact of various types of nature hazards in HMA region, including their phenomena, mechanisms and impacts. It reveals that: 1) the occurrences of extreme rainfall, heavy snowfall, and drifting snow hazards are escalating; accelera…

Development of a Distributed Physics‐Informed Deep Learning Hydrological Model for Data‐Scarce Regions

Authors: L. Zhong, Huimin Lei, Jingjing Yang

Journal: Water Resources Research · DOI: 10.1029/2023wr036333 · Citations: 50

Matched topics: hydrologic model, streamflow

Abstract Climate change has exacerbated water stress and water‐related disasters, necessitating more precise streamflow simulations. However, in the majority of global regions, a deficiency of streamflow data constitutes a significant constraint on modeling endeavors. Traditional distributed hydrological models and regionalization approaches have shown suboptimal performance. While current deep learning (DL)‐related models trained on large data sets excel in spatial generalization, the direct…

Coupling Reservoir Operation and Rainfall‐Runoff Processes for Streamflow Simulation in Watersheds

Authors: Anav Vora, Ximing Cai, Yanan Chen, Donghui Li

Journal: Water Resources Research · DOI: 10.1029/2023wr035703 · Citations: 25

Matched topics: hydrology, hydrologic model, runoff, streamflow, reservoir

Abstract We assess the overall watershed system representation via fully coupling a generic reservoir operation model with a conceptual rainfall‐runoff model. The performance of the coupled model is evaluated comprehensively by examining watershed outflow simulations, model parameter values, and a key internal flux of the watershed model (here reservoir inflow). Five published generic reservoir operation models are coupled with a watershed rainfall‐runoff model, and results are compared acros…

Spatial and Temporal Analysis of Surface Water Pollution Indices Using Statistical Methods

Authors: Le Diem Kieu, Pham Nguyen Quoc

Journal: Civil Engineering Journal · DOI: 10.28991/cej-2024-010-06-07 · Citations: 38

Matched topics: runoff, surface water

This study was conducted to evaluate surface water quality using pollution indices including the organic pollution index (OPI), comprehensive pollution index (CPI), and water quality index (WQI), cluster analysis (CA), with the support of one-way analysis of variance (One-way ANOVA), and principal component analysis (PCA). Water quality data at 42 locations, with 22 water quality parameters including temperature, pH, turbidity, salinity, chloride, total dissolved solids, electrical conductivi…

Quantifying the Regulation Capacity of the Three Gorges Reservoir on Extreme Hydrological Events and Its Impact on Flow Regime in a Changing Climate

Authors: Han Cheng, Taihua Wang, Dawen Yang

Journal: Water Resources Research · DOI: 10.1029/2023wr036329 · Citations: 35

Matched topics: hydrologic model, reservoir, hydropower

Abstract The Three Gorges Reservoir (TGR) is one of the world’s largest hydropower projects and plays an important role in water resources management in the Yangtze River. For the sake of disaster prevention and catchment management, it is crucial to understand the regulation capacity of the TGR on extreme hydrological events and its impact on flow regime in a changing climate. This study obtains historical inflows of the TGR from 1961 to 2019 and uses a distributed hydrological model to simu…

Urea-rich sodium alginate-based hydrogel fertilizer as a water reservoir and slow-release N carrier for tomato cultivation under different water-deficit levels

Authors: Ayoub El Idrissi, Fatima Tayi, Othmane Dardari, Younes Essamlali, Ilham Jioui, Ikrame Ayouch et al.

Journal: International Journal of Biological Macromolecules · DOI: 10.1016/j.ijbiomac.2024.132814 · Citations: 44

Matched topics: reservoir

Abstract not available.

Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope

Authors: Aske Folkmann Musaeus, Cécile Marie Margaretha Kittel, Jakob Luchner, Mónica Coppo Frías, Peter Bauer‐Gottwein

Journal: Water Resources Research · DOI: 10.1029/2023wr036428 · Citations: 16

Matched topics: hydrologic model, river, streamflow, land surface model, surface water

Abstract Forecasting flood and drought events requires accurate modeling tools. Hydraulic river models are based on estimates of riverbed geometry which are traditionally collected in situ. The novel Ice, Cloud and Land Elevation Satellite 2 [ICESat‐2] lidar altimetry mission with 6 simultaneous high‐resolution laser beams provides the opportunity to define river cross‐section geometries as well as observe water surface elevation [WSE] and water surface slope spatially resolved along the rive…

eDNA reveals spatial homogenization of fish diversity in a mountain river affected by a reservoir cascade

Authors: Ruli Cheng, Xinxin Zhou, Yufeng Zhang, Qinghua Li, Jiaming Zhang, Yang Luo et al.

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.121248 · Citations: 24

Matched topics: river, reservoir, hydropower

Abstract not available.

The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis

Authors: Jie Chen, Yankun Wang, Jingzhe Wang, Jingzhe Wang, Yinghui Zhang, Yue‐Ping Xu et al.

Journal: Remote Sensing · DOI: 10.3390/rs16111984 · Citations: 33

Matched topics: surface water

The rapid and accurate extraction of water information from satellite imagery has been a crucial topic in remote sensing applications and has important value in water resources management, water environment monitoring, and disaster emergency management. Although the OLI-2 sensor onboard Landsat-9 is similar to the well-known OLI onboard Landsat-8, there were significant differences in the average absolute percentage change in the bands for water detection. Additionally, the performance of Lan…

Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 883
After deduplication 649
After LLM relevance filtering 50
Rejected (not relevant) 599

Papers by journal

Journal Papers
Water Resources Research 6
Journal of Environmental Management 3
Nature Geoscience 2
Environmental Modelling & Software 2
Science of the Total Environment 2
Nature Communications 2
Crop and Environment 1
Ecological Frontiers 1
Natural and Engineering Sciences 1
Microorganisms 1
Climatic Change 1
Bulletin of the World Health Organization 1
Proceedings of the National Academy of Sciences 1
Applied Energy 1
Advances in Climate Change Research 1
Quarterly Journal of the Royal Meteorological Society 1
International Journal of Climatology 1
Forests 1
MethodsX 1
Chemosphere 1
Journal of Human Earth and Future 1
Environmental Science and Ecotechnology 1
Civil Engineering Journal 1
Discover Applied Sciences 1
Renewable Energy 1
The Science of The Total Environment 1
Journal of Hydrology 1
International Journal of Biological Macromolecules 1
Agricultural Water Management 1
Results in Engineering 1
Nature Environment and Pollution Technology 1
Water Resources Management 1
The Lancet 1
Environmental Research Letters 1
ACS Materials Letters 1
Earth system science data 1
Earth’s Future 1
Water Practice & Technology 1
Remote Sensing 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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