Weekly Literature Review

Week 42 · October 14–October 20, 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 Artificial intelligence in environmental monitoring: Advancements, challenges, a, with 223 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. Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment
    2. Physical climate change exposure and firms’ adaptation strategy
    3. Two-Stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation
    4. Rapid shifts in grassland communities driven by climate change
    5. Air quality and ventilation: Exploring solutions for healthy and sustainable urban environments in times of climate change
    6. Microplastics and chemical contamination in aquaculture ecosystems: The role of climate change and implications for food safety—a review
    7. Drought and aridity influence internal migration worldwide
    8. Climate warming positively affects hydrological connectivity of typical inland river in arid Central Asia
    9. Used in Urban Area for Landscape Planning and Design Spatial and Temporal Variations in Chromium (Cr) Concentrations in Picea orientalis L.
    10. Spatial optimization of land use and carbon storage prediction in urban agglomerations under climate change: Different scenarios and multiscale perspectives of CMIP6
    11. Physically-based modelling of UK river flows under climate change
    12. Effects of winter soil warming on crop biomass carbon loss from organic matter degradation
    13. Intensive leaf cooling promotes tree survival during a record heatwave
    14. Study on the multi-type drought propagation process and driving factors on the Tibetan Plateau
    15. Iranian farmers’ response to the drought crisis: How can the consequences of drought be reduced?
    16. Assessment of CMIP6 models and multi-model averaging for temperature and precipitation over Iran
    17. Gas Injection Dynamics and Hydrogen Storage in Carbonate Reservoirs: Core-Flooding and Molecular Simulation Study
    18. A new Multivariate Drought Severity Index to identify short-term hydrological signals: case study of the Amazon River basin
  3. Flood Risk Assessment and Extreme Precipitation
    1. Assessment of Climate Change Impact on Flood Hazard Zones
    2. The role of turfgrasses in environmental protection and their benefits to humans: Thirty years later
    3. Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
    4. Geospatial analysis and AHP for flood risk mapping in Quetta, Pakistan: a tool for disaster management and mitigation
  4. Machine Learning and AI for Hydrological Prediction
    1. Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
    2. Hybrid hydrological modeling for large alpine basins: a semi-distributed approach
    3. An overview of approaches for reducing uncertainties in hydrological forecasting: Progress and challenges
    4. Hydro-informer: a deep learning model for accurate water level and flood predictions
    5. Spatial-temporal graph neural networks for groundwater data
    6. Performance of Machine Learning, Artificial Neural Network (ANN), and stacked ensemble models in predicting Water Quality Index (WQI) from surface water quality parameters, climatic and land use data
    7. Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
    8. Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models
    9. From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdańsk, Poland
  5. Hydropower and Renewable Energy-Water Systems
    1. Hydropower impacts on riverine biodiversity
    2. Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration
  6. Water Management, Irrigation, and Groundwater
    1. Sustainable wastewater management through nitrogen-cycling microorganisms
    2. Enhancing agricultural sustainability with water and crop management strategies in modern irrigation and drainage networks
    3. Low cost Non freeze-drying construction strategy of cellulose aerogels for efficient solar desalination
    4. Hydrological processes in multi-layered aquifers of a karst watershed with coal mining activity: Insights from hydrochemistry and isotopes
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Global rise in forest fire emissions linked to climate change in the extratropics
    2. The global distribution and drivers of wood density and their impact on forest carbon stocks
    3. Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
    4. Root zone in the Earth system
    5. All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing
    6. Understanding the implications of climate change for Australia’s surface water resources: Challenges and future directions
    7. Characterization of natural and anthropogenic dissolved organic matter in the yangtze river basin using FT-ICR MS
    8. Collaborative models and uncertain water quality in payments for watershed services: China’s Jiuzhou River eco-compensation
    9. Assessing the Impact of Urbanization and Climate Change on Hydrological Processes in a Suburban Catchment
    10. Exploring the complex relationship between industrial upgrading and energy eco-efficiency in river basin cities: A case study of the Yellow River Basin in China
    11. Dairy farm waste: A potential reservoir of diverse antibiotic resistance and virulence genes in aminoglycoside- and beta-lactam-resistant Escherichia coli in Gansu Province, China
    12. Can satellite InSAR innovate the way of large landslide early warning?
    13. Risk assessment and source tracing of heavy metals in major rice-producing provinces of Yangtze River Basin
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 18 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.

Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment

Authors: David B. Olawade, Ojima Z. Wada, Bamise I. Egbewole, Oluwaseun Fapohunda, Abimbola O. Ige, Sunday Oluwadamilola Usman et al.

Journal: Frontiers in Nanotechnology · DOI: 10.3389/fnano.2024.1466721 · Citations: 73

Matched topics: hydrology, water management, surface water

Heavy metal contamination in water sources poses a significant threat to environmental and public health, necessitating effective remediation strategies. Nanomaterial-based approaches have emerged as promising solutions for heavy metal removal, offering enhanced selectivity, efficiency, and sustainability compared to traditional methods. This comprehensive review explores novel nanomaterial-based approaches for heavy metal remediation, focusing on factors such as selectivity, regeneration, sc…


Physical climate change exposure and firms’ adaptation strategy

Authors: Xia Li

Journal: Strategic Management Journal · DOI: 10.1002/smj.3674 · Citations: 60

Matched topics: climate change

Abstract Research Summary This article examines whether and how firms adapt to physical exposures to climate change. I build a novel dataset that compiles information on the adaptation strategies of publicly traded companies around the globe and merge it with climate science data. I find that firms are sensitive to the nature and level of forecasted climate change exposures, and that they adapt more often and more completely to those most salient to their business. Increased physical climate …


Two-Stage Stochastic Energy Scheduling for Multi-Energy Rural Microgrids With Irrigation Systems and Biomass Fermentation

Authors: W. D. Li, Yunyang Zou, Hongming Yang, Xueqian Fu, Sheng Xiang, Zhengmao Li

Journal: IEEE Transactions on Smart Grid · DOI: 10.1109/tsg.2024.3483444 · Citations: 58

Matched topics: irrigation

Multi-energy rural microgrids (MERMs) hold both economic potential and multi-energy coordination ability, emerging as a promising energy management paradigm in rural areas. In this paper, an energy scheduling method is investigated for a MERM with renewable energy and biomass resources, aiming to satisfy the rural electrical, thermal, natural gas, and irrigation demands economically. Mathematically, biomass flows are formulated by adopting a differential dynamics model of anaerobic biomass fe…


Rapid shifts in grassland communities driven by climate change

Authors: Kai Zhu, Yiluan Song, Josephine C. Lesage, Justin C. Luong, James W. Bartolome, Nona R. Chiariello et al.

Journal: Nature Ecology & Evolution · DOI: 10.1038/s41559-024-02552-z · Citations: 50

Matched topics: climate change

, and these changes occurred at a pace similar to that of climate warming and drying. These directional shifts were consistent across observations and experiments. Our findings contrast with the lagged responses observed in communities dominated by long-lived plants and suggest greater biodiversity changes than expected in the near future.


Air quality and ventilation: Exploring solutions for healthy and sustainable urban environments in times of climate change

Authors: Iasmin Lourenço Niza, Ana Maria Bueno, Manuel Gameiro da Silva, Evandro Eduardo Broday

Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103157 · Citations: 45

Matched topics: climate change

Ensuring sustainability and reducing energy consumption in the built environment is essential for achieving energy efficiency and comfort. To obtain a healthy and sustainable urban environment, indoor air quality and ventilation play a crucial role inside buildings since billions of people live in urban environments worldwide and spend significant time indoors. Considering the relevance of this theme, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was adopted …


Microplastics and chemical contamination in aquaculture ecosystems: The role of climate change and implications for food safety—a review

Authors: Omowunmi H. Fred-Ahmadu, Frederick O. Ahmadu, Adebusayo E. Adedapo, Itebimien Oghenovo, O.T. Ogunmodede, Nsikak U. Benson

Journal: Environmental Sciences Europe · DOI: 10.1186/s12302-024-00995-6 · Citations: 43

Matched topics: climate change

The aquaculture industry is growing rapidly and plays a huge role in bridging the global demand gap for fish and other aquatic foods. It is a vital contributor of valuable nutrients and economic benefits. Aquaculture and fisheries provide a means of livelihood to an estimated 58.5 million people globally, according to the United Nations Food and Agriculture Organisation. However, the sector is impacted by the ubiquity of microplastics and toxic chemicals. Although many studies have reported p…


Drought and aridity influence internal migration worldwide

Authors: Roman Hoffmann, Guy Abel, Maurizio Malpede, Raya Muttarak, Marco Percoco

Journal: Nature Climate Change · DOI: 10.1038/s41558-024-02165-1 · Citations: 41

Matched topics: drought

Abstract not available.


Climate warming positively affects hydrological connectivity of typical inland river in arid Central Asia

Authors: Chuanxiu Liu, Yaning Chen, Wenjing Huang, Gonghuan Fang, Zhi Li, Zhu Chenggang et al.

Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00800-4 · Citations: 33

Matched topics: river

Hydrological connectivity is crucial for understanding water-ecosystem dynamics, as it serves as a key link between different landscape units. However, the variability of hydrological connectivity in Central Asia remains unexplored, which poses challenges to a comprehensive understanding of ecohydrological processes. This study investigates the spatiotemporal patterns and driving mechanisms of hydrological connectivity in the Tarim River Basin (TRB), Central Asia, from 1990 to 2020, employing…


Used in Urban Area for Landscape Planning and Design Spatial and Temporal Variations in Chromium (Cr) Concentrations in Picea orientalis L.

Authors: İlknur Zeren Çetin

Journal: Turkish Journal of Agriculture - Food Science and Technology · DOI: 10.24925/turjaf.v12i10.1730-1738.7093 · Citations: 32

Matched topics: runoff

This study investigates the spatial and temporal variations in chromium (Cr) concentrations in Picea orientalis L., across different directions (north, east, south, and west) and plant organs (outer bark, inner bark, and wood) in a forested region. The research, conducted over eight age periods spanning 1980 to 2020, aimed to assess the effectiveness of Picea orientalis L. as a biomonitor for Cr pollution. The highest Cr concentrations were observed in the east direction, particularly in the …


Spatial optimization of land use and carbon storage prediction in urban agglomerations under climate change: Different scenarios and multiscale perspectives of CMIP6

Authors: Hao Wu, Yi Yang, Wen Li

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105920 · Citations: 32

Matched topics: climate change

Abstract not available.


Physically-based modelling of UK river flows under climate change

Authors: Ben A. Smith, Stephen Birkinshaw, Elizabeth Lewis, Eleyna McGrady, Paul Sayers

Journal: Frontiers in Water · DOI: 10.3389/frwa.2024.1468855 · Citations: 6

Matched topics: hydrology, hydrologic model, river, streamflow, land surface model, climate change

This study presents the model setup and results from the first calibrated, physically-based, spatially-distributed hydrological modelling of combined land cover and climate change impacts on a large sample of UK river catchments. The SHETRAN hydrological model was automatically calibrated for 698 UK catchments then driven by the 12 regional climate model projections from UKCP18, combined with urban development and natural flood management scenarios. The automatic calibration of SHETRAN produc…


Effects of winter soil warming on crop biomass carbon loss from organic matter degradation

Authors: Haowei Ni, Han Hu, Constantin M. Zohner, Weigen Huang, Ji Chen, Yishen Sun et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-53216-2 · Citations: 24

Matched topics: hydrology, earth system model

, respectively. This decline is primarily attributed to the loss of soil organic matter and micronutrients induced by warming. Ignoring the adverse effects of winter warming on crop biomass carbon could result in an overestimation of total food production by 4% to 19% under future warming scenarios. Our research highlights the critical need to incorporate winter warming into agricultural productivity models for more effective climate adaptation strategies.


Intensive leaf cooling promotes tree survival during a record heatwave

Authors: Bradley C. Posch, S. E. Bush, Dan F. Koepke, Alexandra Schuessler, Leander D. L. Anderegg, L. M. T. Aparecido et al.

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2408583121 · Citations: 28

Matched topics: hydrology

were studied in a controlled common garden during a record summer heatwave-where air temperature exceeded 48 °C. When water was not limiting, all genotypes cooled leaves 2 to 5 °C below air temperatures. Homeothermic cooling was disrupted for weeks following a 72-h reduction in soil water, resulting in leaf temperatures rising 3 °C above air temperature and 1.3 °C above leaf thresholds for physiological damage, despite the water stress having little effect on leaf water potentials. Tradeoffs …


Study on the multi-type drought propagation process and driving factors on the Tibetan Plateau

Authors: Heng Wang, Heng Zhao, Fuqiang Wang, Yan Bing, Lei Tang, Yutian Du et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132162 · Citations: 27

Matched topics: drought

Abstract not available.


Iranian farmers’ response to the drought crisis: How can the consequences of drought be reduced?

Authors: Moslem Savari, Bagher Khaleghi, Abbas Sheheytavi

Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2024.104910 · Citations: 26

Matched topics: drought

Climate change (CC) is an undeniable global phenomenon, impacting various regions, including Iran. Key components of CC, including the increase in greenhouse gases, rising temperatures, and fluctuations in precipitation patterns, are expected to significantly reduce agricultural crop yields in the near future. In response, identifying effective adaptation strategies is critical for mitigating these adverse effects. This study investigates the role of environmental values, risk perception, and…


Assessment of CMIP6 models and multi-model averaging for temperature and precipitation over Iran

Authors: Narges Azad, Azadeh Ahmadi

Journal: Scientific Reports · DOI: 10.1038/s41598-024-74789-4 · Citations: 21

Matched topics: hydrology, streamflow

In this study, the performances of 40 Coupled Model Intercomparison Project Phase 6 are evaluated against observational data at synoptic stations in Iran using various evaluation criteria. The results reveal diverse model accuracy across different climate conditions and criteria, emphasizing particularly notable disparities in the nonstationarity R criterion compared to others. Although according to the ranking of the raw and bias-corrected outputs of CMIP6 GCMs for Iran, the NorESM2-MM, AWI-…


Gas Injection Dynamics and Hydrogen Storage in Carbonate Reservoirs: Core-Flooding and Molecular Simulation Study

Authors: Ahmed Fatah, Ahmed Al‐Yaseri, Salem Alshammari, Abdulaziz Al-Qasim

Journal: Energy & Fuels · DOI: 10.1021/acs.energyfuels.4c03699 · Citations: 21

Matched topics: reservoir, flood

Geological hydrogen storage in carbonate reservoirs is a promising method for transitioning to clean energy sources. Gas displacement behavior in porous media is critical for evaluating gas saturation, fluid migration, and storage security. Due to the limited studies in this area, a comprehensive experimental and molecular modeling assessment of various gases (CO2, CH4, N2, and H2) and their flow characteristics during drainage displacement in carbonate reservoirs is presented. Core-flooding …


A new Multivariate Drought Severity Index to identify short-term hydrological signals: case study of the Amazon River basin

Authors: Artur Leńczuk, Christopher E. Ndehedehe, Anna Kłos, Janusz Bogusz

Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2024.114464 · Citations: 15

Matched topics: river, streamflow, drought

The Earth’s climate is changing rapidly and unexpectedly, causing more frequent, longer and more severe droughts, with lasting impacts on plants, ecosystems, communities and people. Consequently, this is leading to an increased importance of monitoring the climate and water storage trends in different regions. This information on a global scale is already commonly derived using satellite-based geodetic techniques such as the Global Positioning System (GPS) and the Gravity Recovery and Climate…


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.

Assessment of Climate Change Impact on Flood Hazard Zones

Authors: Tomasz Dysarz, Paweł Marcinkowski, Joanna Wicher-Dysarz, Mikołaj Piniewski, Dorota Mirosław‐Świątek, Zbigniew W. Kundzewicz

Journal: Water Resources Management · DOI: 10.1007/s11269-024-04002-8 · Citations: 26

Matched topics: hydrology, hydrologic model, streamflow, flood, land surface model, climate change

Abstract There have been many destructive pluvial and fluvial floods in Poland and the projection of increasing flood hazards in the future is a reason of considerable concern. The maps of river hazard zones are changing over time, and understanding these changes is of primary importance for flood risk reduction and climate change adaptation. This article aims to assess the impact of climate change on the spatial extent and depth classes of flood hazard zones for a selected reach of the River…


The role of turfgrasses in environmental protection and their benefits to humans: Thirty years later

Authors: Ross C. Braun, Parul Mandal, Emmanuel Nwachukwu, Alex Stanton

Journal: Crop Science · DOI: 10.1002/csc2.21383 · Citations: 34

Matched topics: runoff

Abstract Beard and Green compiled one of the earliest reviews on the environmental and societal (cultural) benefits that living turfgrass systems (e.g., home lawns, athletic fields, golf courses, roadsides, and grounds) provide to humans and associated contemporary issues with turfgrass. Today, the benefits of vegetation systems are called ecosystem services, and the associated negative aspects are called disservices. Since 1994, a significant amount of research has been conducted to further …


Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds

Authors: Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, Eunsaem Cho

Journal: Natural hazards and earth system sciences · DOI: 10.5194/nhess-24-3537-2024 · Citations: 16

Matched topics: hydrology, hydrologic model, river, flood

Abstract. Despite applications of machine learning (ML) models for predicting floods, their transferability for out-of-sample data has not been explored. This paper developed an ML-based model for hindcasting maximum river water depths during major events in coastal watersheds and evaluated its transferability across other events (out-of-sample). The model considered the spatial distribution of influential factors that explain the underlying physical processes to hindcast maximum river water …


Geospatial analysis and AHP for flood risk mapping in Quetta, Pakistan: a tool for disaster management and mitigation

Authors: Niamat Ullah, Aqil Tariq, Said Qasim, Sanaullah Panezai, Md Galal Uddin, M. Abdullah-Al-Wadud et al.

Journal: Applied Water Science · DOI: 10.1007/s13201-024-02293-1 · Citations: 26

Matched topics: flood

The 2022 flood events in Quetta, Pakistan, caused severe damage to the economy, properties, and lives. Therefore, flood risk mapping to identify flood-prone areas is essential for planners and decision-makers to take critical protective measures to control the effects of flooding. This study focuses on mapping flood-prone regions in the Quetta district of Pakistan using an analytical hierarchy process (AHP) and a geographic information system (GIS). The factors influencing flood used in the p…


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.

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

Authors: David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, Bamise I. Egbewole, Adedayo S. Olojo, Bankole I. Oladapo

Journal: Hygiene and Environmental Health Advances · DOI: 10.1016/j.heha.2024.100114 · Citations: 223

Matched topics: streamflow, water management, earth system model

• AI-driven pollution detection enhances environmental protection. • Real-time monitoring facilitates prompt interventions for pollution prevention. • Accurate air quality forecasting aids in planning pollution-reducing activities. • AI’s role in smart cities fosters sustainable urban development. • AI algorithms integrate diverse data sources for pollution detection. The application of Artificial Intelligence (AI) in environmental monitoring offers accurate disaster forecasts, pollution sour…


Hybrid hydrological modeling for large alpine basins: a semi-distributed approach

Authors: Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Qin Li, Guangheng Ni

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4521-2024 · Citations: 20

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

Abstract. Alpine basins are important water sources for human life, and reliable hydrological modeling can enhance the water resource management in alpine basins. Recently, hybrid hydrological models, coupling process-based models and deep learning (DL), have exhibited considerable promise in hydrological simulations. However, a notable limitation of existing hybrid models lies in their failure to incorporate spatial information within the basin and describe alpine hydrological processes, whi…


An overview of approaches for reducing uncertainties in hydrological forecasting: Progress and challenges

Authors: Anandharuban Panchanthan, Amir Hossein Ahrari, Kedar Ghag, Syed Mustafa, Ali Torabi Haghighi, Bjørn Kløve et al.

Journal: Earth-Science Reviews · DOI: 10.1016/j.earscirev.2024.104956 · Citations: 28

Matched topics: hydrology, hydrologic model, streamflow

Uncertainty plays a key role in hydrological modeling and forecasting, which can have tremendous environmental, economic, and social impacts. Therefore, it is crucial to comprehend the nature of this uncertainty and identify its scope and effects in a way that enhances hydrological modeling and forecasting. During recent decades, hydrological researchers investigated several approaches for reducing inherent uncertainty considering the limitations of sensor measurement, calibration, parameter …


Hydro-informer: a deep learning model for accurate water level and flood predictions

Authors: Wael Almikaeel, Andrej Šoltész, Lea Čubanová, Dana Baroková

Journal: Natural Hazards · DOI: 10.1007/s11069-024-06949-8 · Citations: 24

Matched topics: hydrology, streamflow, flood

Abstract This study aims to develop an advanced deep learning model, Hydro-Informer, for accurate water level and flood predictions, emphasizing extreme event forecasting. Utilizing a comprehensive dataset from the Slovak Hydrometeorological Institute SHMI (2008–2020), which includes precipitation, water level, and discharge data, the model was trained using a ladder technique with a custom loss function to enhance focus on extreme values. The architecture integrates Recurrent and Convolution…


Spatial-temporal graph neural networks for groundwater data

Authors: Maria Luisa Taccari, He Wang, Jonathan Nuttall, Xiaohui Chen, Peter K. Jimack

Journal: Scientific Reports · DOI: 10.1038/s41598-024-75385-2 · Citations: 33

Matched topics: hydrologic model

This paper introduces a novel application of spatial-temporal graph neural networks (ST-GNNs) to predict groundwater levels. Groundwater level prediction is inherently complex, influenced by various hydrological, meteorological, and anthropogenic factors. Traditional prediction models often struggle with the nonlinearity and non-stationary characteristics of groundwater data. Our study leverages the capabilities of ST-GNNs to address these challenges in the Overbetuwe area, Netherlands. We ut…


Performance of Machine Learning, Artificial Neural Network (ANN), and stacked ensemble models in predicting Water Quality Index (WQI) from surface water quality parameters, climatic and land use data

Authors: Nagalapalli Satish, Jagadeesh Anmala, Murari R. R. Varma, K. Rajitha

Journal: Process Safety and Environmental Protection · DOI: 10.1016/j.psep.2024.10.054 · Citations: 25

Matched topics: land surface model, surface water

Abstract not available.


Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems

Authors: William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia González

Journal: IET Generation Transmission & Distribution · DOI: 10.1049/gtd2.13292 · Citations: 28

Matched topics: hydropower

Abstract The use of biomass as a renewable energy source for electricity generation has gained attention due to its sustainability and environmental benefits. However, the intermittent electricity demand poses challenges for optimizing electricity generation in thermal systems. Time series forecasting techniques are crucial in addressing these challenges by providing accurate predictions of biomass availability and electricity generation. Here, wavelet transform is applied for denoising, conv…


Advancing streamflow prediction in data-scarce regions through vegetation-constrained distributed hybrid ecohydrological models

Authors: L. Zhong, Huimin Lei, Zhiyuan Li, Shijie Jiang

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132165 · Citations: 12

Matched topics: hydrology, hydrologic model, streamflow, earth system model

Abstract not available.


From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdańsk, Poland

Authors: Khansa Gulshad, Andaleeb Yaseen, Michał Szydłowski

Journal: Remote Sensing · DOI: 10.3390/rs16203902 · Citations: 15

Matched topics: hydrologic model, flood, land surface model

Flood susceptibility prediction is complex due to the multifaceted interactions among hydrological, meteorological, and urbanisation factors, further exacerbated by climate change. This study addresses these complexities by investigating flood susceptibility in rapidly urbanising regions prone to extreme weather events, focusing on Gdańsk, Poland. Three popular ML techniques, Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Networks (ANN), were evaluated for handling co…


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.

Hydropower impacts on riverine biodiversity

Authors: Fengzhi He, Christiane Zarfl, K. Tockner, J. Olden, Zilca Campos, F. Muniz et al.

Journal: Nature Reviews Earth & Environment · DOI: 10.1038/s43017-024-00596-0 · Citations: 126

Matched topics: hydropower

Abstract not available.


Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration

Authors: Qinglin Meng, Xinyu Tong, Sheharyar Hussain, Fengzhang Luo, Fei Zhou, Ying He et al.

Journal: IET Generation Transmission & Distribution · DOI: 10.1049/gtd2.13299 · Citations: 72

Matched topics: hydropower

Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorpora…


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.

Sustainable wastewater management through nitrogen-cycling microorganisms

Authors: Tao Liu, Haoran Duan, Sebastian Lücker, Min Zheng, Holger Daims, Zhiguo Yuan et al.

Journal: Nature Water · DOI: 10.1038/s44221-024-00307-5 · Citations: 55

Matched topics: water management

Abstract not available.


Enhancing agricultural sustainability with water and crop management strategies in modern irrigation and drainage networks

Authors: Seyedeh‐Zohreh Hashemi, Abdullah Darzi‐Naftchali, Fatemeh Karandish, H.P. Ritzema, Karim Solaimani

Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109110 · Citations: 35

Matched topics: water management, irrigation

Improving global food security hinges on achieving sustainable agricultural production within independent irrigation and drainage units, considering the availability of sustainable water resources. This study investigated the potential for enhancing the sustainability of agricultural production in a modern irrigation and drainage network (TIDN) area and evaluated the network’s performance under various strategies. These strategies included mulching, transitioning from traditional to drip irri…


Low cost Non freeze-drying construction strategy of cellulose aerogels for efficient solar desalination

Authors: Shiyu Zong, Liwei Zhu, Fuhou Lei, Jianxin Jiang, Jiufang Duan

Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2024.156859 · Citations: 38

Matched topics: water management

Abstract not available.


Hydrological processes in multi-layered aquifers of a karst watershed with coal mining activity: Insights from hydrochemistry and isotopes

Authors: Lanchu Tao, Yunhui Zhang, Xingcheng Yuan, Qingsong Chen, Jinhai Yu, Yiqi Ma et al.

Journal: Journal of Hydrology Regional Studies · DOI: 10.1016/j.ejrh.2024.102016 · Citations: 18

Matched topics: hydrologic model, water management, surface water

The Laochang Karst watershed (LCKW) is located in eastern Yunnan Province, southwestern China. It is the representative karst area affected by coal-mining activities in southwestern China. Identifying hydrological processes of multi-layered aquifers in karst watersheds is challenging due to complex natural and anthropogenic processes. This study attempts to clarify the hydrological conceptual model of the LCKW using hydrochemistry and D, O, Sr, S, and C isotopes. Surface water and multi-layer…


Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 13 papers advancing understanding of hydrological processes through field observations, modeling, and remote sensing. Research covers snow distribution and dynamics in cold regions, forest-hydrology interactions, land use change impacts on river systems, rainfall-runoff modeling uncertainty, and satellite-based monitoring of terrestrial water resources.

Global rise in forest fire emissions linked to climate change in the extratropics

Authors: Matthew W. Jones, S. Veraverbeke, N. Andela, Stefan H. Doerr, Crystal A. Kolden, G. Mataveli et al.

Journal: Science · DOI: 10.1126/science.adl5889 · Citations: 146

Matched topics: climate change, earth system model

Climate change increases fire-favorable weather in forests, but fire trends are also affected by multiple other controlling factors that are difficult to untangle. We use machine learning to systematically group forest ecoregions into 12 global forest pyromes, with each showing distinct sensitivities to climatic, human, and vegetation controls. This delineation revealed that rapidly increasing forest fire emissions in extratropical pyromes, linked to climate change, offset declining emissions…


The global distribution and drivers of wood density and their impact on forest carbon stocks

Authors: Lidong Mo, Thomas W. Crowther, Daniel S. Maynard, Johan van den Hoogen, Haozhi Ma, Lalasia Bialic‐Murphy et al.

Journal: Nature Ecology & Evolution · DOI: 10.1038/s41559-024-02564-9 · Citations: 60

Matched topics: land surface model

The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood de…


Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch

Authors: M. Zhran, K. Ghanem, Aqil Tariq, Fahad Alshehri, S. Jin, Jayanta Das et al.

Journal: Environmental Sciences Europe · DOI: 10.1186/s12302-024-01001-9 · Citations: 55

Matched topics: flood

Floods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating remote sensing with a geographic information system, and an analytical hierarchy process (AHP). Twelve thematic layers (elevation, slope, normalized difference vegetation index, topographic wetness…


Root zone in the Earth system

Authors: Hongkai Gao, Markus Hrachowitz, Lan Wang‐Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia et al.

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4477-2024 · Citations: 39

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

Abstract. The root zone is a vital part of the Earth system and a key element in hydrology, ecology, agronomy, and land surface processes. However, its definition varies across disciplines, creating barriers to interdisciplinary understanding. Moreover, characterizing the root zone is challenging due to a lack of consensus on definitions, estimation methods, and their merits and limitations. This opinion paper provides a holistic definition of the root zone from a hydrology perspective, inclu…


All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing

Authors: Yifei He, Zhaolin Ge, Zhiyang Li, Zhaoxian Li, Riping Liu, Limei Zhang et al.

Journal: Advanced Functional Materials · DOI: 10.1002/adfm.202415595 · Citations: 46

Matched topics: reservoir

Wearable near/in‐sensor neuromorphic computing is driving next‐generation human‐artificial intelligence (AI) interface, the Internet of Things, and intelligent robots, with reservoir computing (RC) playing a pivotal role in advancing AI hardware, yet its potential remains underexplored. Herein, an all‐polymer accumulation‐mode organic electrochemical synaptic transistor (OEST) is demonstrated with controlled ionic dynamics that can facilitate high‐performance wearable RC while allowing entire…


Understanding the implications of climate change for Australia’s surface water resources: Challenges and future directions

Authors: Conrad Wasko, Clare Stephens, Tim Peterson, Rory Nathan, Acacia Pepler, Suresh Hettiarachchi et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132221 · Citations: 20

Matched topics: hydrology, hydrologic model, runoff, streamflow, climate change, surface water

• Climate change is affecting Australia’s hydrology and water resources. • Observed changes are complex with the drivers difficult to attribute. • Some changes expected in the future are unprecedented. • Models and approaches used to support decision-making need flexibility. • A process-based understanding is required to project climate change impacts. Climate change is altering Australia’s streamflow and water resources due to a complex interplay of shifts in temperature, rainfall, evaporati…


Characterization of natural and anthropogenic dissolved organic matter in the yangtze river basin using FT-ICR MS

Authors: Cuiping Ning, Shuai Sun, Yuan Gao, Huaijun Xie, Lidong Wu, Haijun Zhang et al.

Journal: Water Research · DOI: 10.1016/j.watres.2024.122636 · Citations: 35

Matched topics: river

Abstract not available.


Collaborative models and uncertain water quality in payments for watershed services: China’s Jiuzhou River eco-compensation

Authors: Jichuan Sheng, Hongqiang Yang

Journal: Ecosystem Services · DOI: 10.1016/j.ecoser.2024.101671 · Citations: 28

Matched topics: river

• The relationship between PWS and water quality uncertainty is examined. • A stochastic differential game model of PWS is builded to examine this relationship. • Collaborative eco-compensation model in the PWS can achieve social optimality. • The collaborative eco-compensation is riskier than the horizontal eco-compensation. • Designing incentive-compatible PWS schemes remains challenging. As Payments for Watershed Services (PWS) schemes are widely implemented around the world, determining d…


Assessing the Impact of Urbanization and Climate Change on Hydrological Processes in a Suburban Catchment

Authors: Sharon Bih Kimbi, Shin‐ichi Onodera, Kunyang Wang, Ichirow Kaihotsu, Yuta Shimizu

Journal: Environments · DOI: 10.3390/environments11100225 · Citations: 13

Matched topics: hydrology, runoff, streamflow, climate change

Global urbanization, population growth, and climate change have considerably impacted water resources, making sustainable water resource management (WRM) essential. Understanding the changes in hydrological components is important for effective WRM, particularly in cities such as Higashi-Hiroshima, which is known for its saké brewing industry. This study used the Soil and Water Assessment Tool (SWAT) with Hydrological Response Units (HRUs) to achieve high spatial precision in assessing the im…


Exploring the complex relationship between industrial upgrading and energy eco-efficiency in river basin cities: A case study of the Yellow River Basin in China

Authors: Ruonan Wang, Huan Huang, Huan Huang, Ming Chang

Journal: Energy · DOI: 10.1016/j.energy.2024.133498 · Citations: 27

Matched topics: river

Abstract not available.


Dairy farm waste: A potential reservoir of diverse antibiotic resistance and virulence genes in aminoglycoside- and beta-lactam-resistant Escherichia coli in Gansu Province, China

Authors: Muhammad Shoaib, Minjia Tang, Amjad Islam Aqib, Xuejing Zhang, Zhongyong Wu, Yang Wen et al.

Journal: Environmental Research · DOI: 10.1016/j.envres.2024.120190 · Citations: 27

Matched topics: reservoir

Abstract not available.


Can satellite InSAR innovate the way of large landslide early warning?

Authors: Peng Zeng, Bing Feng, Keren Dai, Tianbin Li, Xuanmei Fan, Xiaoping Sun

Journal: Engineering Geology · DOI: 10.1016/j.enggeo.2024.107771 · Citations: 27

Matched topics: earth system model

Abstract not available.


Risk assessment and source tracing of heavy metals in major rice-producing provinces of Yangtze River Basin

Authors: Haizhen Ding, Jiwei Liu, Qin Liu, Qin Liu, Liping Guo, Qianyu Hang et al.

Journal: Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2024.136206 · Citations: 25

Matched topics: river

Abstract not available.


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 853
After deduplication 637
After LLM relevance filtering 50
Rejected (not relevant) 587

Papers by journal

Journal Papers
Journal of Hydrology 3
IET Generation Transmission & Distribution 2
Nature Ecology & Evolution 2
Environmental Sciences Europe 2
Hydrology and earth system sciences 2
Scientific Reports 2
Hygiene and Environmental Health Advances 1
Science 1
Nature Reviews Earth & Environment 1
Frontiers in Nanotechnology 1
Strategic Management Journal 1
IEEE Transactions on Smart Grid 1
Nature Water 1
Water Resources Management 1
Advanced Functional Materials 1
Results in Engineering 1
Nature Climate Change 1
Agricultural Water Management 1
Chemical Engineering Journal 1
Earth-Science Reviews 1
Water Research 1
Crop Science 1
Natural Hazards 1
npj Climate and Atmospheric Science 1
Turkish Journal of Agriculture - Food Science and Technology 1
Sustainable Cities and Society 1
Natural hazards and earth system sciences 1
Frontiers in Water 1
Process Safety and Environmental Protection 1
Nature Communications 1
Proceedings of the National Academy of Sciences 1
Ecosystem Services 1
Journal of Hydrology Regional Studies 1
Environments 1
Energy 1
Environmental Research 1
Engineering Geology 1
Applied Water Science 1
International Journal of Disaster Risk Reduction 1
Energy & Fuels 1
Journal of Hazardous Materials 1
Remote Sensing 1
Remote Sensing of Environment 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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