Weekly Literature Review

Week 41 · October 7–October 13, 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 The Global Dam Watch database of river barrier and reservoir information for lar, with 71 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. Surging compound drought–heatwaves underrated in global soils
    2. Unlocking the full potential of Sentinel-1 for flood detection in arid regions
    3. Solar Energy Resource and Power Generation in Morocco: Current Situation, Potential, and Future Perspective
    4. Soil function-microbial diversity relationship is impacted by plant functional groups under climate change
    5. Enhanced relationship between seasonal soil moisture droughts and vegetation under climate change over China
    6. Scenario analysis of supply‐ and demand‐side solutions for circular economy and climate change mitigation in the global building sector
    7. Increasing dam failure risk in the USA due to compound rainfall clusters as climate changes
    8. Climate change psychological distress is associated with increased collective climate action in the U.S.
    9. First results of the surface water ocean topography (SWOT) observations to rivers elevation profiles in the Cuvette Centrale of the Congo Basin
    10. Innovating on Hydrological Modelling Calibration Towards a Realistic Simulation of Climate Change Impacts on Water Resources
    11. Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico
    12. Microbial Ecosystems as Guardians of Food Security and Water Resources in the Era of Climate Change
    13. A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network
    14. Investigation of the impact of dual inoculations of arbuscular mycorrhizal fungi and plant growth-promoting rhizobacteria on drought tolerance of maize grown in a compost-amended field under Mediterranean conditions
  3. Flood Risk Assessment and Extreme Precipitation
    1. Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis
    2. An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation
    3. Integrated urban and riverine flood risk management in the Fujiang River Basin-Mianyang city
  4. Machine Learning and AI for Hydrological Prediction
    1. Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
    2. SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
    3. A Near‐Infrared Retinomorphic Device with High Dimensionality Reservoir Expression
    4. Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model
    5. Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability
    6. Crystallinity‐controlled volatility tuning of ZrO2 memristor for physical reservoir computing
    7. Engineering factor analysis and intelligent prediction of CO2 storage parameters in shale gas reservoirs based on deep learning
    8. A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data
    9. Leveraging explainable machine learning for enhanced management of lake water quality
    10. Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
    11. Flash flood prediction modeling in the hilly regions of Southeastern Bangladesh: A machine learning attempt on present and future climate scenarios
  5. Hydropower and Renewable Energy-Water Systems
    1. Environmental flows in a future climate: Balancing hydropower production and ecosystem rehabilitation in the Ume River system, Sweden
    2. Exploring the impact of three representative pumped storage retrofits on the economic-technical-energy efficiency of cascaded hydropower-VRE hybrid systems
  6. Water Management, Irrigation, and Groundwater
    1. Uncertainty in model estimates of global groundwater depth
    2. The Role of Green Infrastructure in Providing Urban Ecosystem Services: Insights from a Bibliometric Perspective
    3. Reforestation effects on low flows: Review of public perceptions and scientific evidence
    4. Unlocking aquifer sustainability through irrigator-driven groundwater conservation
    5. A multi-objective optimization and evaluation framework for LID facilities considering urban surface runoff and shallow groundwater regulation
    6. Assessing Groundwater Vulnerability to Pollution in a Rapidly Urbanizing River Basin Using a Modified DRASTIC Land Use–Lineament Density Method
    7. UAV-enabled approaches for irrigation scheduling and water body characterization
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. The Global Dam Watch database of river barrier and reservoir information for large-scale applications
    2. Regulation of terrestrial input and ocean processes on the occurrence and transport of traditional and emerging per- and polyfluoroalkyl substances in the inner shelf of the East China Sea
    3. Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using ensemble rainfall–runoff analysis (ERRA): proof of concept
    4. Theory and the future of land-climate science
    5. Flood vulnerability map of the Bagmati River basin, Nepal: a comparative approach of the analytical hierarchy process and frequency ratio model
    6. Climate change impacts on seasonal runoff in the source region of the Yellow River: Insights from CORDEX experiments with uncertainty analysis
    7. Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha
    8. A global poleward shift of atmospheric rivers
    9. Reconstructing Tibetan Plateau lake bathymetry using ICESat-2 photon-counting laser altimetry
    10. Subsurface influences on watershed nutrient concentrations and loading in a clay dominated agricultural system
    11. Nested Cross-Validation for HBV Conceptual Rainfall–Runoff Model Spatial Stability Analysis in a Semi-Arid Context
    12. Comparative analysis of event runoff coefficients and curve numbers in contrasting urban environments based on observed rainfall-runoff data
    13. Seasonal variation of antibiotic resistance genes in activated sludge of a full-scale municipal wastewater treatment plant: Contribution of activated sludge functional taxa and clinically relevant taxa
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 14 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.

Surging compound drought–heatwaves underrated in global soils

Authors: Xingwang Fan, Yunlin Zhang, Kun� Shi, Jian Peng, Yongwei Liu, Yongqiang Zhou et al.

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2410294121 · Citations: 47

Matched topics: drought, earth system model

Compound drought-heatwaves (CDHWs) accelerate the warming and drying of soils, triggering soil compound drought-heatwaves (SCDHWs) that jeopardize the health of soil ecosystems. Nevertheless, the behavior of these events worldwide and their responses to climatic warming are underexplored. Here, we show a global escalation in the frequency, duration, peak intensity, and severity of SCDHWs, as well as an increase in affected land area, from 1980 to 2023. The increasing trends, which are particu…


Unlocking the full potential of Sentinel-1 for flood detection in arid regions

Authors: Shagun Garg, Antara Dasgupta, Mahdi Motagh, Sandro Martinis, Sivasakthy Selvakumaran

Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2024.114417 · Citations: 46

Matched topics: hydrology, flood

Climate change has intensified flooding in arid and semi-arid regions, presenting a major challenge for flood monitoring and mapping. While satellites, particularly Synthetic Aperture Radar (SAR), allow synoptically observing flood extents, accurately differentiating between sandy terrains and water for arid region flooding remains an open challenge. Current global flood mapping products exclude arid areas from their analyses due to the sand and water confusion, resulting in a critical lack o…


Solar Energy Resource and Power Generation in Morocco: Current Situation, Potential, and Future Perspective

Authors: Rania Benbba, Majd Barhdadi, Antonio Ficarella, Giovanni Manente, Maria Pia Romano, Nizar El Hachemi et al.

Journal: Resources · DOI: 10.3390/resources13100140 · Citations: 41

Matched topics: hydropower

The world’s attention is currently focused on the energy transition to sustainable energy. The drive to reduce greenhouse gas emissions in order to limit global warming, energy security, and the generalization of access to energy have contributed to the adoption of the Moroccan Energy Strategy, with a strong focus on renewable energy (RE). Morocco is notoriously poor in conventional primary fossil energy resources, with energy dependence on the order of 90%. In addition, the energy crisis tha…


Soil function-microbial diversity relationship is impacted by plant functional groups under climate change

Authors: Ramesha H. Jayaramaiah, Catarina S.C. Martins, Eleonora Egidi, Catriona A. Macdonald, Juntao Wang, Hongwei Liu et al.

Journal: Soil Biology and Biochemistry · DOI: 10.1016/j.soilbio.2024.109623 · Citations: 36

Matched topics: climate change

Understanding the interactions between plant and soil microbial diversity is crucial for predicting ecosystem responses to environmental changes. While the individual roles of plant and microbial diversity in driving ecosystem functions have been widely investigated, their interplay especially under stress conditions remains largely underexplored. This study investigated how interactions between plant and microbial diversity affect key soil functions during and after drought. We simultaneousl…


Enhanced relationship between seasonal soil moisture droughts and vegetation under climate change over China

Authors: Yifeng Hao, Xing Yuan, Miao Zhang

Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2024.110258 · Citations: 19

Matched topics: drought, seasonal, land surface model, climate change

Abstract not available.


Scenario analysis of supply‐ and demand‐side solutions for circular economy and climate change mitigation in the global building sector

Authors: Stefan Pauliuk, Fabio Carrer, Niko Heeren, Edgar G. Hertwich

Journal: Journal of Industrial Ecology · DOI: 10.1111/jiec.13557 · Citations: 31

Matched topics: climate change

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Increasing dam failure risk in the USA due to compound rainfall clusters as climate changes

Authors: Jeongwoo Hwang, Upmanu Lall

Journal: npj natural hazards. · DOI: 10.1038/s44304-024-00027-6 · Citations: 23

Matched topics: hydrology, climate change

Abstract A changing climate, with intensifying precipitation may contribute to increasing failures of dams by overtopping. We present the first analysis of rainfall sequences and events associated with recent hydrologic failures of 552 dams in the United States. We find that the maximum 1-day rainfall associated with failure was often not extreme compared to dam spillway design criteria, even when accounting for rainfall statistics changing with time at each site. However, the combination of …


Climate change psychological distress is associated with increased collective climate action in the U.S.

Authors: Matthew T. Ballew, Sri Saahitya Uppalapati, Teresa Myers, Jennifer Carman, Eryn Campbell, Seth A. Rosenthal et al.

Journal: npj Climate Action · DOI: 10.1038/s44168-024-00172-8 · Citations: 27

Matched topics: climate change

The mental health impacts of climate change are increasingly documented; however, less research has investigated the relationship between climate change-related psychological distress and engagement with the issue. The results from two national probability samples of U.S. adults show that 16% report at least one feature of climate change psychological distress and that certain groups have higher levels of distress than others (e.g., Hispanic/Latinos, lower income adults, younger adults). Impo…


First results of the surface water ocean topography (SWOT) observations to rivers elevation profiles in the Cuvette Centrale of the Congo Basin

Authors: Cassandra Normandin, Frédéric Frappart, Nicolas Baghdadi, Luc Bourrel, Santiago Peña Luque, Bertrand Ygorra et al.

Journal: Frontiers in Remote Sensing · DOI: 10.3389/frsen.2024.1466695 · Citations: 16

Matched topics: hydrology, river, surface water

Rivers play a crucial role in maintaining ecosystems and regional climates, while also providing essential water for irrigation and drinking. With the increasing impacts of climate change and human activities, rivers are becoming more prone to extreme events (droughts and floods) and induced erosion/deposition processes, making water-related risk management more challenging. The recent launch of the Surface Water and Ocean Topography (SWOT) mission, which focuses on continental surfaces with …


Innovating on Hydrological Modelling Calibration Towards a Realistic Simulation of Climate Change Impacts on Water Resources

Authors: Eugenio Molina‐Navarro, Alejandro Sánchez‐Gómez, Silvia Martínez Pérez

Journal: Earth Systems and Environment · DOI: 10.1007/s41748-024-00462-5 · Citations: 6

Matched topics: hydrologic model, runoff, streamflow, water management, climate change

Abstract not available.


Compound and cascading droughts and heatwaves decrease maize yields by nearly half in Sinaloa, Mexico

Authors: Samuel Jonson Sutanto, Susana B. Zarzoza Mora, Iwan Supit, Mengru Wang

Journal: npj natural hazards. · DOI: 10.1038/s44304-024-00026-7 · Citations: 23

Matched topics: drought

Abstract The impact of droughts and heatwaves on agriculture losses has been exacerbated by the occurrence of compound and cascading events. Here we present a study that evaluates the impact of these events both as singly and as compound and cascading on maize yield in Sinaloa Mexico from 1990 to 2022, using the WOFOST crop model. Drought and heatwave events were identified using the Standardized Precipitation Index and threshold method, respectively. Results show that yield reduction (25%) i…


Microbial Ecosystems as Guardians of Food Security and Water Resources in the Era of Climate Change

Authors: Muhammad Danish Toor, Muneeb U. Rehman, Javeria Abid, Dibyajyoti Nath, Izhar Ullah, Abdul Basıt et al.

Journal: Water Air & Soil Pollution · DOI: 10.1007/s11270-024-07533-3 · Citations: 18

Matched topics: water management, climate change

Abstract not available.


A dataset of 0.05-degree leaf area index in China during 1983–2100 based on deep learning network

Authors: Hao Li, Yuyu Zhou, Xiang Zhao, Xin Zhang, Shunlin Liang

Journal: Scientific Data · DOI: 10.1038/s41597-024-03948-z · Citations: 13

Matched topics: hydrology, streamflow, earth system model

Leaf Area Index (LAI) is a critical parameter in terrestrial ecosystems, with high spatial resolution data being extensively utilized in various research studies. However, LAI data under future scenarios are typically only available at 1° or coarser spatial resolutions. In this study, we generated a dataset of 0.05° LAI (F0.05D-LAI) from 1983-2100 in a high spatial resolution using the LAI Downscaling Network (LAIDN) model driven by inputs including air temperature, relative humidity, precipi…


Investigation of the impact of dual inoculations of arbuscular mycorrhizal fungi and plant growth-promoting rhizobacteria on drought tolerance of maize grown in a compost-amended field under Mediterranean conditions

Authors: Redouane Ouhaddou, Lahoucine Ech‐chatir, Chayma Ikan, Fatima-Ezzahra Soussani, Farid Errouh, Abderrahim Boutasknit et al.

Journal: Frontiers in Microbiology · DOI: 10.3389/fmicb.2024.1432637 · Citations: 17

Matched topics: drought, irrigation

In the current context of rapid climate change, water scarcity and soil poverty are becoming increasingly alarming, leading to growing losses of 30-50% of global agricultural production. It is imperative to find environmentally-friendly approaches for improving plant tolerance to drastic conditions, particularly in arid and semi-arid Mediterranean regions. Biostimulants based on symbiotic microbes are emerging as effective strategies for improving tolerance and agricultural productivity. This…


Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 3 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.

Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis

Authors: Phila Sibandze, Ahmed Mukalazi Kalumba, Amal H. Aljaddani, Leocadia Zhou, Gbenga Abayomi Afuye

Journal: Environmental Management · DOI: 10.1007/s00267-024-02059-0 · Citations: 21

Matched topics: hydrology, flood

Flooding is a global threat causing significant economic and environmental damage, necessitating a policy response and collaborative strategy. This study assessed global research trends and advances in geospatial and meteorological flood risk assessment (G_MFRA), considering the ongoing debate on flood risk management and adaptation strategies. A total of 1872 original articles were downloaded in BibTex format using the Web of Science (WOS) and Scopus databases to retrieve G_MFRA studies publ…


An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation

Authors: Javeria Sarwar, Saud Khan, Muhammad Azmat, Faridoon Khan

Journal: Water Resources Management · DOI: 10.1007/s11269-024-03995-6 · Citations: 25

Matched topics: flood

Abstract not available.


Integrated urban and riverine flood risk management in the Fujiang River Basin-Mianyang city

Authors: Haichao Li, Yanqi Wei, Hiroshi Ishidaira, Nii Amarquaye Commey, Dawen Yang

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132150 · Citations: 7

Matched topics: hydrologic model, river, water management, flood

Abstract not available.


Machine Learning and AI for Hydrological Prediction

This week’s 11 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.

Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration

Authors: Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Özgür Kişi, Ali El Bilali

Journal: International Journal of Sediment Research · DOI: 10.1016/j.ijsrc.2024.10.002 · Citations: 58

Matched topics: hydrologic model

Machine learning (ML) has become a powerful tool for predicting suspended sediment concentration (SSC). Nonetheless, the ability to interpret the physical process is considered the main issue in applying most of ML approaches. In this regard, the current study presents a novel framework involving four standalone ML models (extra trees (ET), random forest (RF), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost)) and their combination with genetic programming (GP). Three m…


SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting

Authors: Wenchuan Wang, M. H. Gu, Yang-hao Hong, Xiao-xue Hu, Hong-fei Zang, Xiaonan Chen et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-024-74329-0 · Citations: 39

Matched topics: hydrologic model, runoff, streamflow, hydropower

Accurate runoff forecasting is of great significance for water resource allocation flood control and disaster reduction. However, due to the inherent strong randomness of runoff sequences, this task faces significant challenges. To address this challenge, this study proposes a new SMGformer runoff forecast model. The model integrates Seasonal and Trend decomposition using Loess (STL), Informer’s Encoder layer, Bidirectional Gated Recurrent Unit (BiGRU), and Multi-head self-attention (MHSA). F…


A Near‐Infrared Retinomorphic Device with High Dimensionality Reservoir Expression

Authors: Yan-Bing Leng, Ziyu Lv, Shengming Huang, Peng Xie, Hua-Xin Li, Shirui Zhu et al.

Journal: Advances in Materials · DOI: 10.1002/adma.202411225 · Citations: 45

Matched topics: reservoir

Physical reservoir‐based reservoir computing (RC) systems for intelligent perception have recently gained attention because they require fewer computing resources. However, the system remains limited in infrared (IR) machine vision, including materials and physical reservoir expression power. Inspired by biological visual perception systems, the study proposes a near‐infrared (NIR) retinomorphic device that simultaneously perceives and encodes narrow IR spectral information (at ≈980 nm). The …


Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model

Authors: Zhuo Zheng, Stefano Ermon, Dongjun Kim, Liangpei Zhang, Yanfei Zhong

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence · DOI: 10.1109/tpami.2024.3475824 · Citations: 45

Matched topics: land surface model

Our understanding of the temporal dynamics of the Earth’s surface has been significantly advanced by deep vision models, which often require a massive amount of labeled multi-temporal images for training. However, collecting, preprocessing, and annotating multi-temporal remote sensing images at scale is non-trivial since it is expensive and knowledge-intensive. In this paper, we present scalable multi-temporal change data generators based on generative models, which are cheap and automatic, a…


Automation and AI in Precision Agriculture: Innovations for Enhanced Crop Management and Sustainability

Authors: Azmirul Hoque, Mrutyunjay Padhiary

Journal: Asian Journal of Research in Computer Science · DOI: 10.9734/ajrcos/2024/v17i10512 · Citations: 37

Matched topics: irrigation

Precision agriculture is one of the ways to achieve food security and sustainability through better resource-use optimization and crop productivity dealing with the challenges posed by the growing population and addressing environmental concerns. The study offers an in-depth look at the most recent developments in artificial intelligence (AI) and automation in precision agriculture (PA), with a particular emphasis on important technologies such as drones, autonomous tractors, AI-driven irriga…


Crystallinity‐controlled volatility tuning of ZrO2 memristor for physical reservoir computing

Authors: Dae Kyu Lee, Gichang Noh, Seungmin Oh, Yooyeon Jo, Eunpyo Park, Min Jee Kim et al.

Journal: InfoMat · DOI: 10.1002/inf2.12635 · Citations: 23

Matched topics: reservoir

Abstract Memristors have been emerging as promising candidates for computing systems in post‐Moore applications, particularly electrochemical metallization‐based memristors, which are poised to play a crucial role in neuromorphic computing and machine learning. These devices are favored for their high integration density, low power consumption, rapid switching speed, and significant on/off ratio. Despite advancements in various materials, achieving adequate electrical performance—characterize…


Engineering factor analysis and intelligent prediction of CO2 storage parameters in shale gas reservoirs based on deep learning

Authors: Zhiming Chen, Xurong Zhao, Haifeng Zhu, Zekai Tang, Xin Zhao, Feng‐Yuan Zhang et al.

Journal: Applied Energy · DOI: 10.1016/j.apenergy.2024.124642 · Citations: 22

Matched topics: reservoir

Abstract not available.


A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data

Authors: Yizhen Zheng, Wen Dong, ZhipingYang, Yihang Lu, Xin Zhang, Yanni Dong et al.

Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2024.104204 · Citations: 22

Matched topics: earth system model

• A new attention-based deep metric model for crop mapping in complex agricultural landscapes is proposed. • Utilizing multisource remote sensing improves crop classification in mountainous smallholder farming systems. • The proposed framework can significantly differentiate multiple crops in highly heterogeneous agricultural landscapes. Accurate crop mapping is critical for agricultural decisions and food security. Despite the widespread use of machine learning and deep learning in remote se…


Leveraging explainable machine learning for enhanced management of lake water quality

Authors: Sajad Soleymani Hasani, Mauricio E. Arias, Hung Quang Nguyen, Osama M. Tarabih, Zachariah Welch, Qiong Zhang

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.122890 · Citations: 21

Matched topics: water management

Abstract not available.


Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features

Authors: Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, Stefan Broda

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4407-2024 · Citations: 16

Matched topics: hydrology, streamflow

Abstract. Groundwater level (GWL) forecasting with machine learning has been widely studied due to its generally accurate results and low input data requirements. Furthermore, machine learning models for this purpose can be set up and trained quickly compared to the effort required for process-based numerical models. Despite demonstrating high performance at specific locations, applying the same model architecture to multiple sites across a regional area can lead to varying accuracies. The re…


Flash flood prediction modeling in the hilly regions of Southeastern Bangladesh: A machine learning attempt on present and future climate scenarios

Authors: Arifur Rahman Rifath, Md Golam Muktadir, Mahmudul Hasan, Md Ashraful Islam

Journal: Environmental Challenges · DOI: 10.1016/j.envc.2024.101029 · Citations: 20

Matched topics: flood

• Machine learning models were used to predict flash flood risks in southeastern Bangladesh. • Random Forest emerged as the most accurate model for flood susceptibility mapping. • Climate change scenarios SSP126 and SSP585 project an increase in high-risk flood areas. • Flood prediction results inform strategies for effective mitigation and adaptation in Bangladesh. Flash floods are highly destructive, and their frequency and intensity are expected to escalate due to climatic changes. This st…


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.

Environmental flows in a future climate: Balancing hydropower production and ecosystem rehabilitation in the Ume River system, Sweden

Authors: Åsa Widén, Birgitta Malm‐Renöfält, Roland Jansson

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.176622 · Citations: 10

Matched topics: hydrology, river, runoff, hydropower

Hydropower is central to renewable electricity systems, but degrades ecosystems, calling for environmental flow schemes to enhance the ecological status of river systems. Environmental flow assessments need to account for climate change, since climate-driven changes in runoff affect both hydropower operation and riverine ecosystems. Here, we quantify expected changes in hydropower production and environmental benefits of introducing environmental flows in a large regulated river system in nor…


Exploring the impact of three representative pumped storage retrofits on the economic-technical-energy efficiency of cascaded hydropower-VRE hybrid systems

Authors: Mengjiao He, Shuo Han, Yuanqiang Gao, Ziwen Zhao, Diyi Chen, Mingjiang Deng

Journal: Energy Conversion and Management · DOI: 10.1016/j.enconman.2024.119107 · Citations: 20

Matched topics: hydropower

Abstract not available.


Water Management, Irrigation, and Groundwater

Water management research this week spans 7 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.

Uncertainty in model estimates of global groundwater depth

Authors: Robert Reinecke, Sebastian Gnann, Lina Stein, Marc F. P. Bierkens, Inge de Graaf, Tom Gleeson et al.

Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ad8587 · Citations: 28

Matched topics: streamflow, land surface model, irrigation

Abstract Knowing the depth at which groundwater can be found below the land surface is critical for understanding its potential accessibility by ecosystems and society. Uncertainty in global scale water table depth (WTD) limits our ability to assess groundwater’s role in a water cycle altered by changing climate, land cover, and human water use. Global groundwater models offer a top–down pathway to gain this knowledge, but their uncertainty is currently poorly quantified. Here, we investigate…


The Role of Green Infrastructure in Providing Urban Ecosystem Services: Insights from a Bibliometric Perspective

Authors: Milena V. Sokolova, Brian D. Fath, Umberto Grande, Elvira Buonocore, Pier Paolo Franzese

Journal: Land · DOI: 10.3390/land13101664 · Citations: 33

Matched topics: water management

Urban ecosystems, and the services they provide, are a key focus of the United Nations 2030 Agenda for Sustainable Development, specifically SDG 11, which emphasizes making cities inclusive, safe, resilient, and sustainable. Green infrastructure (GI) is crucial in enhancing citizens’ quality of life and achieving this goal and it can be defined as a strategically planned network of natural and semi-natural areas designed to deliver a range of ecosystem services (ESs). These infrastructures im…


Reforestation effects on low flows: Review of public perceptions and scientific evidence

Authors: Ilja van Meerveld, Jan Seibert

Journal: Wiley Interdisciplinary Reviews Water · DOI: 10.1002/wat2.1760 · Citations: 23

Matched topics: hydrology, streamflow, water management

Abstract This review article focuses on the complex relationships between forests and water, particularly the effects of forests on streamflow during meteorological droughts. The impact of forests on water resources is a long‐standing research topic, but there are also many common beliefs that are not based on scientific evidence or only selective evidence. We critically examine the origin of some of the common public misconceptions and review the wealth of studies on how forests impact preci…


Unlocking aquifer sustainability through irrigator-driven groundwater conservation

Authors: Maria Elena Orduña Alegría, Samuel C. Zipper, Hoon C. Shin, Jillian M. Deines, Nathan Hendricks, Jonah J. Allen et al.

Journal: Nature Sustainability · DOI: 10.1038/s41893-024-01437-0 · Citations: 19

Matched topics: streamflow, water management, irrigation

Abstract not available.


A multi-objective optimization and evaluation framework for LID facilities considering urban surface runoff and shallow groundwater regulation

Authors: Yishuo Jiang, Jiake Li, Jiayu Gao, Jun Xia

Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2024.143921 · Citations: 14

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

Abstract not available.


Assessing Groundwater Vulnerability to Pollution in a Rapidly Urbanizing River Basin Using a Modified DRASTIC Land Use–Lineament Density Method

Authors: Tsnat Tsegay, Behailu Birhanu, Tilahun Azagegn, Binyam Tesfaw Hailu, Tenalem Ayenew

Journal: Geological Journal · DOI: 10.1002/gj.5059 · Citations: 16

Matched topics: hydrology, river, streamflow

ABSTRACT Groundwater quality assessment is crucial for ensuring safe drinking water, protecting public health, and maintaining sustainable water resources for agricultural and industrial uses. The Awash River basin faces significant groundwater quality challenges due to rapid population growth, high urbanization, large‐scale irrigation, and industrial pollution. The main objective of this study is to evaluate the intrinsic vulnerability of aquifers to pollution in the Awash Basin and identify…


UAV-enabled approaches for irrigation scheduling and water body characterization

Authors: Manish Yadav, B.B. Vashisht, Niharika Vullaganti, Prem Kumar, S.K. Jalota, Arun Kumar et al.

Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109091 · Citations: 19

Matched topics: water management, irrigation

In recent years, precision agriculture has seen a substantial increase in the use of unmanned aerial vehicles (UAVs). They have shown great potential in spraying, nutrient application, irrigation scheduling, field mapping, yield estimation, and crop monitoring. UAV-enabled approaches have transformed several industries, and they have enormous potential for irrigation water management and characterization of water reservoirs. This paper explores the use of UAVs for variable rate irrigation (VR…


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.

The Global Dam Watch database of river barrier and reservoir information for large-scale applications

Authors: Bernhard Lehner, Penny Beames, Mark Mulligan, Christiane Zarfl, Luca De Felice, Arnout van Soesbergen et al.

Journal: Scientific Data · DOI: 10.1038/s41597-024-03752-9 · Citations: 71

Matched topics: hydrology, river, reservoir, hydropower, earth system model

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Regulation of terrestrial input and ocean processes on the occurrence and transport of traditional and emerging per- and polyfluoroalkyl substances in the inner shelf of the East China Sea

Authors: Jincai Zhu, Yao Fu, Heng Hu, Yisen Zhong, Xiao Ma, Yuanli Zhu et al.

Journal: Water Research · DOI: 10.1016/j.watres.2024.122606 · Citations: 43

Matched topics: hydrologic model, land surface model

Abstract not available.


Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using ensemble rainfall–runoff analysis (ERRA): proof of concept

Authors: James W. Kirchner

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4427-2024 · Citations: 26

Matched topics: hydrology, hydrologic model, runoff, streamflow

Abstract. A classical approach to understanding hydrological behavior is the unit hydrograph and its many variants, but these often assume linearity (runoff response is proportional to effective precipitation), stationarity (runoff response to a given unit of rainfall is identical, regardless of when it falls), and spatial homogeneity (runoff response depends only on spatially averaged precipitation). In the real world, by contrast, runoff response is typically nonlinear, nonstationary, and s…


Theory and the future of land-climate science

Authors: Michael P. Byrne, Gabriele C. Hegerl, Jacob Scheff, Ori Adam, Alexis Berg, Michela Biasutti et al.

Journal: Nature Geoscience · DOI: 10.1038/s41561-024-01553-8 · Citations: 19

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

Abstract not available.


Flood vulnerability map of the Bagmati River basin, Nepal: a comparative approach of the analytical hierarchy process and frequency ratio model

Authors: Sushmita Malla, Koichiro OHGUSHI

Journal: Smart Construction and Sustainable Cities · DOI: 10.1007/s44268-024-00041-7 · Citations: 21

Matched topics: hydrology, river, flood

Abstract The analytical hierarchy process (AHP) and frequency ratio model (FR), along with the integration of GIS, have proven to be successful approaches for assessing flood-prone areas. However, in Nepal flood vulnerability mapping based on GIS decision analysis is limited. Thus, this study focused on comparing the data-driven FR method and expert knowledge-based AHP technique in a GIS environment to prepare a flood vulnerability map for the Bagmati River basin, helping to explore the gap i…


Climate change impacts on seasonal runoff in the source region of the Yellow River: Insights from CORDEX experiments with uncertainty analysis

Authors: Yiyan Gao, Minpei Zhou, Zhongbo Yu, Qin Ju, Junliang Jin, Dawei Zhang

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132132 · Citations: 11

Matched topics: hydrologic model, river, runoff, seasonal, climate change

Abstract not available.


Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha

Authors: Abhijeet Das

Journal: HydroResearch · DOI: 10.1016/j.hydres.2024.10.002 · Citations: 20

Matched topics: river, runoff, surface water

Waste water reuse is an effective method for reducing the quantity of wastewater that enters the environment. As a result, the appropriateness was assessed in accordance with its composition and the global criteria for drinking water quality. This study aims to evaluate the quality of surface water of Brahmani River, Odisha, by adapting multivariate statistical approaches, namely Cluster Analysis (CA) and multi-criteria decision-making (MCDM) methods such as Simple Additive Weighting (SAW). A…


A global poleward shift of atmospheric rivers

Authors: Zhe Li, Qinghua Ding

Journal: Science Advances · DOI: 10.1126/sciadv.adq0604 · Citations: 24

Matched topics: river, earth system model

Atmospheric rivers (ARs) are key agents in distributing extratropical precipitation and transporting moisture poleward. Climate models forced by historical anthropogenic forcing suggest an increase in AR activity in the extratropics over the past four decades. However, reanalyses indicate a ~6° to 10° poleward shift of ARs during boreal winter in both hemispheres, featuring a rise along 50°N and 50°S and a decrease along 30°N and 30°S. Our analysis demonstrates that low-frequency sea surface …


Reconstructing Tibetan Plateau lake bathymetry using ICESat-2 photon-counting laser altimetry

Authors: Xiaoran Han, Guoqing Zhang, Jida Wang, Kuo‐Hsin Tseng, Jiaqi Li, R. Iestyn Woolway et al.

Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2024.114458 · Citations: 23

Matched topics: hydrologic model, surface water

Abstract not available.


Subsurface influences on watershed nutrient concentrations and loading in a clay dominated agricultural system

Authors: Sarah Rixon, Hannah May, Elisha Persaud, Ahmed Elsayed, Jana Levison, Andrew Binns et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132140 · Citations: 20

Matched topics: water management, surface water

• Nutrient concentrations and nutrient loading were greater in opposing seasons. • Nitrate and phosphorus loading were significantly related to subsurface mechanisms. • Stable isotopes of water were useful to identify flow paths relating to nutrient loss. Water quality issues in the Great Lakes Basin persist despite management and monitoring efforts. With changing land use and climatic conditions, the need for improved understanding of nutrient loss from agricultural field to surface water is…


Nested Cross-Validation for HBV Conceptual Rainfall–Runoff Model Spatial Stability Analysis in a Semi-Arid Context

Authors: Mohamed El Garnaoui, Abdelghani Boudhar, Karima Nifa, Yousra El Jabiri, Ismail Karaoui, Abdenbi El Aloui et al.

Journal: Remote Sensing · DOI: 10.3390/rs16203756 · Citations: 10

Matched topics: hydrologic model, runoff, streamflow, water management

Accurate and efficient streamflow simulations are necessary for sustainable water management and conservation in arid and semi-arid contexts. Conceptual hydrological models often underperform in these catchments due to the high climatic variability and data scarcity, leading to unstable parameters and biased results. This study evaluates the stability of the HBV model across seven sub-catchments of the Oum Er Rabia river basin (OERB), focusing on the HBV model regionalization process and the …


Comparative analysis of event runoff coefficients and curve numbers in contrasting urban environments based on observed rainfall-runoff data

Authors: Mark Bryan Alivio, Matej Radinja, Mojca Šraj, Zoltán Gribovszki, Nejc Bezak

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132135 · Citations: 11

Matched topics: hydrology, runoff, streamflow

• Local rainfall-runoff data was used to derive the C and CN of two urban catchments. • C and CN exhibit variability across rainfall events. • Estimated mean C and asymptotic CN ∞ are lower than the tabulated values. • High-intensity and long-duration heavy storms lead to higher C and CN. • Initial soil moisture conditions influenced the variations of event C and CN. Recently, there has been a growing recognition that the generic values of runoff coefficient (C) and curve number (CN) from sta…


Seasonal variation of antibiotic resistance genes in activated sludge of a full-scale municipal wastewater treatment plant: Contribution of activated sludge functional taxa and clinically relevant taxa

Authors: Shashika Guruge, Ziming Han, Shiting Dai, Ashraful Islam, Weiwei Ben, Zhe Tian et al.

Journal: Water Research · DOI: 10.1016/j.watres.2024.122598 · Citations: 20

Matched topics: seasonal

Abstract not available.


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 809
After deduplication 591
After LLM relevance filtering 50
Rejected (not relevant) 541

Papers by journal

Journal Papers
Journal of Hydrology 4
Scientific Data 2
Remote Sensing of Environment 2
Water Research 2
Hydrology and earth system sciences 2
npj natural hazards. 2
International Journal of Sediment Research 1
Scientific Reports 1
Proceedings of the National Academy of Sciences 1
Advances in Materials 1
IEEE Transactions on Pattern Analysis and Machine Intelligence 1
Resources 1
Environmental Research Letters 1
Asian Journal of Research in Computer Science 1
Soil Biology and Biochemistry 1
Nature Geoscience 1
Agricultural and Forest Meteorology 1
Land 1
Wiley Interdisciplinary Reviews Water 1
Journal of Industrial Ecology 1
Smart Construction and Sustainable Cities 1
HydroResearch 1
Science Advances 1
Nature Sustainability 1
Journal of Cleaner Production 1
npj Climate Action 1
Environmental Management 1
Frontiers in Remote Sensing 1
Geological Journal 1
Earth Systems and Environment 1
Water Resources Management 1
The Science of The Total Environment 1
Remote Sensing 1
Agricultural Water Management 1
InfoMat 1
Water Air & Soil Pollution 1
Applied Energy 1
International Journal of Applied Earth Observation and Geoinformation 1
Frontiers in Microbiology 1
Journal of Environmental Management 1
Environmental Challenges 1
Energy Conversion and Management 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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