Weekly Literature Review
Week 52 · December 23–December 29, 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 AI-driven approaches for optimizing power consumption: a comprehensive survey, with 80 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- River-lake ecosystems exhibit a strong seasonal cycle of greenhouse gas emissions
- Using dynamic Bayesian belief networks to infer the effects of climate change and human activities on changes in regional ecosystem services
- Validation of CRU TS v4.08, ERA5-Land, IMERG v07B, and MSWEP v2.8 Precipitation Estimates Against Observed Values over Pakistan
- Assessment of Hydrologic Data Estimates From
ERA5 Reanalyses in Benin, West Africa - A novel daily-scale index for detecting drought-flood abrupt alternation events: Proof from Pearl River Basin, China
- Plant Growth-Promoting Rhizobacteria Paenibacillus polymyxa HL14–3 Inoculation Enhances Drought Tolerance in Cucumber by Triggering Abscisic Acid-Mediated Stomatal Closure
- Water Management in Wheat Farming in Romania: Simulating the Irrigation Requirements with the CROPWAT Model
- Climate change shifts risk of soil salinity and land degradation in water-scarce regions
- Drought analysis in the Seyhan River Basin based on standardized drought indices using a new approach considering seasonality
- Flood Risk Assessment and Extreme Precipitation
- Rebalancing River Lateral Connectivity: An Interdisciplinary Focus for Research and Management
- City scale urban flooding risk assessment using multi-source data and machine learning approach
- A flood resilience assessment method of green-grey-blue coupled urban drainage system considering backwater effects
- A new framework to assess and optimize urban flood resilience with green-grey-blue system
- Study of thickened CO2 flooding for enhancing oil recovery in Low-Permeability sandstone reservoirs
- Research on the Heavy Rainstorm–Flash Flood–Debris Flow Disaster Chain: A Case Study of the “Haihe River ‘23·7’ Regional Flood”
- Rapid 2D hydrodynamic flood modeling using deep learning surrogates
- IberSWMM+: A high-performance computing solver for 2D-1D pluvial flood modelling in urban environments
- Machine Learning and AI for Hydrological Prediction
- Next-generation nanomaterials-based biosensors: Real-time biosensing devices for detecting emerging environmental pollutants
- A stacking ensemble machine learning model for improving monthly runoff prediction
- Deep Learning‐Based Approach for Enhancing Streamflow Prediction in Watersheds With Aggregated and Intermittent Observations
- How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant
- Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment
- Soil water content prediction across seasons using random forest based on precipitation-related data
- Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model
- Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al2O3/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Climate-Based AI-Powered Precision Irrigation: Sustainably Smart Agriculture Frameworks for Maximum Crop Yields
- Drought monitoring of large lakes in Iraq using remote sensing images and normalized difference water index (NDWI)
- Thawing permafrost is subsiding in the Northern Hemisphere—review and perspectives
- Fate and Transport of Heavy Metals in Soil, Surface Water, and Groundwater: Implications for Environmental Management
- A cost-effective, salt-resistant and environmentally stable solar evaporator with a wetting-gradient bilayer structure for long-term seawater desalination
- Human health risk assessment of drinking water using heavy metal pollution index: a GIS-based investigation in mega city
- Comparative analysis of heavy metals toxicity in drinking water of selected industrial zones in Gujranwala, Pakistan
- All-in-one MXene/PDA@MF-EF solar steam generator with semi-clad construction for efficient interfacial evaporation, water purification and desalination
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- AI-driven approaches for optimizing power consumption: a comprehensive survey
- Improving Global Reservoir Parameterizations by Incorporating Flood Storage Capacity Data and Satellite Observations
- LW-YOLO11: A Lightweight Arbitrary-Oriented Ship Detection Method Based on Improved YOLO11
- Global disparities in transboundary river research have implications for sustainable management
- Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics
- A SWAT model depicts the impact of land use change on hydrology, nutrient, and sediment loads in a Lake Michigan watershed
- Distribution, Partitioning, Source Apportionment, and Ecological Risk Assessment of Legacy and Emerging PFAS in Water and Sediment of the Pearl River Delta
- Nitrogen and phosphorus non-point source pollution in the upper Wujiang River Karst Basin: Critical source areas identification and influencing factors
- Effects of future climate and land use changes on runoff in tropical regions of China
- Mitigating pesticide mixture hazard in global surface waters through agricultural management
- Runoff Generation Signaled by Deviations from the Budyko Framework
- Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields
- Target and Nontarget Analysis of Organophosphorus Flame Retardants and Plasticizers in a River Impacted by Industrial Activity in Eastern China
- Characteristics of runoff and sediment transport during flood events in the upper Yangtze River, China, in the last 50 years
- Impact of cascade reservoir on the sources of organic matter in sediments of Lancang river
- Comprehensive Analysis beyond Traditional Organophosphate Esters (OPEs) Uncovers the Prevalence of Novel OPEs and Related Compounds in River Waters
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 9 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.
River-lake ecosystems exhibit a strong seasonal cycle of greenhouse gas emissions
Authors: Shijie Wang, Shanghua Wu, Yuzhu Dong, Xianglong Li, Yaxin Wang, Yijing Li et al.
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01912-8 · Citations: 16
Matched topics: river, seasonal, hydropower
Inland lakes are a crucial source of greenhouse gases, such as carbon dioxide, methane and nitrous oxide. The interconnected river-lake systems feature multiple lake regions, wherein numerous rivers interconnect various lake regions. Their intricate hydrological conditions and interactions distinguish them from conventional lakes, which typically have a single and relatively static water body. However, the greenhouse gas emission characteristics, as well as the driving forces of the interconn…
Using dynamic Bayesian belief networks to infer the effects of climate change and human activities on changes in regional ecosystem services
Authors: Haoran Yu, Junyi Jiang, Xinchen Gu, Chunwu Cao, Cheng Shen
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.113023 · Citations: 25
Matched topics: climate change
• A dynamic Bayesian model-based causal feedback model between human activities, climate change, and ecosystem services was developed; • Intensity maps were drawn to depict the tendency and inhibition characteristics of land use/cover in the Yangtze River Delta region; • The interrelationships between ecosystem services were measured using a generalized additive model-based approach; • For the first time, the spatial pattern of the dominant ecosystem services in the Yangtze River Delta region…
Validation of CRU TS v4.08, ERA5-Land, IMERG v07B, and MSWEP v2.8 Precipitation Estimates Against Observed Values over Pakistan
Authors: Haider Abbas, Wenlong Song, Yicheng Wang, Kaizheng Xiang, Long Chen, Tianshi Feng et al.
Journal: Remote Sensing · DOI: 10.3390/rs16244803 · Citations: 14
Matched topics: hydrologic model, water management, land surface model
Global precipitation products (GPPs) are vital in weather forecasting, efficient water management, and monitoring floods and droughts. However, the precision of these datasets varies considerably across different climatic regions and topographic conditions. Therefore, the accuracy assessment of the precipitation dataset is crucial at the local scale before its application. The current study initially compared the performance of recently modified and upgraded precipitation datasets, including …
Assessment of Hydrologic Data Estimates From ERA5 Reanalyses in Benin, West Africa
Authors: René Bodjrènou, Luc Ollivier Sintondji, Yekambessoun M’ Po N’Tcha, Diane Germain, Francis Esse Azonwade, Fernand Sohindji et al.
Journal: Geoscience Data Journal · DOI: 10.1002/gdj3.288 · Citations: 9
Matched topics: hydrology, hydrologic model, runoff, land surface model
ABSTRACT In West Africa, the validation of distributed models is limited by the quality and availability of point station data measured in situ. ERA5 is a climate reanalysis product produced by the European Centre for Medium‐range Weather Forecasts (ECMWF) and is suggested to overcome this constraint. This study assessed and compared the quality of ERA5 and its variant ERA5‐Land (namely, LAND) over Benin at spatial and monthly time scales. ERA5 relies on a single‐level version with a 0.25° × …
A novel daily-scale index for detecting drought-flood abrupt alternation events: Proof from Pearl River Basin, China
Authors: Chengguang Lai, Yuxing Wang, Yu‐Xiang Zhao, Zhaoli Wang, Xushu Wu, Xiaoyan Bai
Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2024.107892 · Citations: 13
Matched topics: river, flood, drought
Abstract not available.
Plant Growth-Promoting Rhizobacteria Paenibacillus polymyxa HL14–3 Inoculation Enhances Drought Tolerance in Cucumber by Triggering Abscisic Acid-Mediated Stomatal Closure
Authors: Yanping Qin, Xiaojie Wang, Han Dong, Ting Ye, Nanshan Du, Tao Zhang et al.
Journal: Journal of Agricultural and Food Chemistry · DOI: 10.1021/acs.jafc.4c09421 · Citations: 22
Matched topics: drought
HL14-3 inoculation enhances drought tolerance in cucumber by triggering ABA-mediated stomatal closure, providing an effective drought-tolerant PGPR for promoting agricultural production in arid areas.
Water Management in Wheat Farming in Romania: Simulating the Irrigation Requirements with the CROPWAT Model
Authors: Dana Maria Constantin, Florentina Iuliana Stan, Daniel Constantin Diaconu, Cristina Doina Burada, Elena Băltățeanu
Journal: Agronomy · DOI: 10.3390/agronomy15010061 · Citations: 7
Matched topics: hydrology, hydrologic model, water management, irrigation
The development of water demand analysis methodologies to maintain agricultural crops at an optimal production level, in relation to current climate changes, is a necessity for many geographical areas. The methodology used uses CROPWAT 8.0 software, in the desire to highlight for an important agricultural region in Romania the need to optimize the water requirement for winter wheat crops. The methodology used was able to highlight this fact, as major changes are needed in future technological…
Climate change shifts risk of soil salinity and land degradation in water-scarce regions
Authors: Isaac Kramer, Nadav Peleg, Yair Mau
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109223 · Citations: 21
Matched topics: climate change
Climate change introduces significant uncertainty when assessing the risk of soil salinity in water-scarce regions. We combine a soil–water-salinity–sodicity model (SOTE) and a weather generator model (AWE-GEN) to develop a framework for studying salinity and sodicity dynamics under changing climate definitions. Using California’s San Joaquin Valley as a case study, we perform first-order sensitivity analyses for the effect of changing evapotranspiration (ET) rates, length of the rain season,…
Drought analysis in the Seyhan River Basin based on standardized drought indices using a new approach considering seasonality
Authors: Tolga Barış Terzi, Bihrat Önöz
Journal: Environmental Earth Sciences · DOI: 10.1007/s12665-024-12039-6 · Citations: 11
Matched topics: river, drought, seasonal
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 8 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.
Rebalancing River Lateral Connectivity: An Interdisciplinary Focus for Research and Management
Authors: R. Mason, Matthew F. Johnson, Ellen Wohl, Catherine Russell, Julian D. Olden, Lina E. Polvi et al.
Journal: Wiley Interdisciplinary Reviews Water · DOI: 10.1002/wat2.1766 · Citations: 24
Matched topics: hydrology, hydrologic model, river
ABSTRACT Lateral connectivity between rivers and terrestrial landscapes is critical for both river and landscape health. Due to widespread anthropogenic degradation of riverscapes, river management is aiming to connect rivers to floodplains, riparian zones, and wetlands, putting a spotlight on lateral connectivity. However, there is currently no consensus on how to conceptualize and study lateral connectivity in rivers across disciplines. Here, we review lateral connectivity between riverscap…
City scale urban flooding risk assessment using multi-source data and machine learning approach
Authors: Wei Qing, Huijin Zhang, Yongqi Chen, Yifan Xie, Hailong Yin, XU Zu-xin
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132626 · Citations: 32
Matched topics: flood
Abstract not available.
A flood resilience assessment method of green-grey-blue coupled urban drainage system considering backwater effects
Authors: Yue Liu, Xiang Zhang, Jie Liu, Wang Yao, Haifeng Jia, Shiyong Tao
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.113032 · Citations: 22
Matched topics: hydrologic model, flood
• The backwater effect index was introduced into the global resilience analysis method to improve accuracy. • The impact of green-grey-blue infrastructure on flood resilience has been studied. • The important role of backwater effects of blue infrastructure in flood resilience was quantified. Currently, the increasing frequency of urban floods—driven by extreme rainfall resulting from climate change, human-induced urbanization, and inadequacies in urban drainage systems—has heightened interes…
A new framework to assess and optimize urban flood resilience with green-grey-blue system
Authors: Dingkun Yin, Xiaoyue Zhang, Haifeng Jia, Lili Xu, Qimeng Jia, Ye Yang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132614 · Citations: 15
Matched topics: hydrologic model, runoff, flood
Abstract not available.
Study of thickened CO2 flooding for enhancing oil recovery in Low-Permeability sandstone reservoirs
Authors: Guojun Li, Meilong Fu, Jiani Hu, Shuangfang Lu, Fankun Meng
Journal: Fuel · DOI: 10.1016/j.fuel.2024.134148 · Citations: 19
Matched topics: reservoir, flood
Abstract not available.
Research on the Heavy Rainstorm–Flash Flood–Debris Flow Disaster Chain: A Case Study of the “Haihe River ‘23·7’ Regional Flood”
Authors: Renzhi Li, Shanzhong Qi, Zhonggen Wang, Xiaoran Fu, Huiran Gao, Junxue Ma et al.
Journal: Remote Sensing · DOI: 10.3390/rs16244802 · Citations: 8
Matched topics: hydrologic model, river, streamflow, flood
Over the past decades, China has experienced severe compound natural disasters, such as extreme rainfalls, which have led to significant losses. In response to the challenges posed by the lack of a clear investigation process and inadequate comprehensiveness in evaluating the natural disaster chains, this study proposes a comprehensive retrospective simulation strategy for emergency investigation and simulation of heavy rainstorm–flash flood–debris flow chain disasters at the county–town leve…
Rapid 2D hydrodynamic flood modeling using deep learning surrogates
Authors: Francisco Haces‐Garcia, Natalya Maslennikova, Craig Glennie, Hanadi S. Rifai, Vedhus Hoskere, Nima Ekhtari
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132561 · Citations: 17
Matched topics: hydrologic model, flood
Abstract not available.
IberSWMM+: A high-performance computing solver for 2D-1D pluvial flood modelling in urban environments
Authors: Esteban Sañudo, Orlando García-Feal, L. J. Hagen, Luís Cea, Jerónimo Puertas, C. Montalvo et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132603 · Citations: 16
Matched topics: hydrologic model, flood
• Iber-SWMM + can speed up simulations by up to 200 times. • Run times are reduced from hours or days to minutes. • Considers fully distributed hydrological simulations and surface and sewer flows. • A dedicated tool for modelling building roofs is implemented. • SWMM simulation can become a computational bottleneck. Urban drainage modelling is essential for effective city planning and flood management. The increasing complexity of urban environments and the growing availability of high-resol…
Machine Learning and AI for Hydrological Prediction
This week’s 8 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.
Next-generation nanomaterials-based biosensors: Real-time biosensing devices for detecting emerging environmental pollutants
Authors: Mansi Sharma, Priyanka Mahajan, Abdullah Saad Alsubaie, Virat Khanna, Surjeet Chahal, Abhinay Thakur et al.
Journal: Materials Today Sustainability · DOI: 10.1016/j.mtsust.2024.101068 · Citations: 62
Matched topics: water management
Over the last few decades, industrialization and urbanization have accelerated environmental degradation and, therefore, require scientific approaches for proper monitoring and management. This review specifically examines biosensors based on nanomaterials and their application in environmental monitoring for sustainable purposes such as detecting heavy metals in water, air-borne pollutants and greenhouse gases, pesticides in soil and foods, identification of biological agents and pathogens. …
A stacking ensemble machine learning model for improving monthly runoff prediction
Authors: Wenchuan Wang, M. H. Gu, Zong Li, Yang-hao Hong, Hong-fei Zang, Dong-mei Xu
Journal: Earth Science Informatics · DOI: 10.1007/s12145-024-01544-8 · Citations: 25
Matched topics: hydrologic model, runoff, hydropower
Abstract not available.
Deep Learning‐Based Approach for Enhancing Streamflow Prediction in Watersheds With Aggregated and Intermittent Observations
Authors: Nikunj K. Mangukiya, Ashutosh Sharma
Journal: Water Resources Research · DOI: 10.1029/2024wr037331 · Citations: 20
Matched topics: hydrology, hydrologic model, streamflow, water management
Abstract Accurate daily streamflow estimates are crucial for water resources management. Yet, many regions lack high‐temporal‐resolution data due to limited monitoring infrastructure, often relying on monthly aggregates or intermittent observations. Predicting streamflow in these sparsely sampled watersheds remains challenging. This study proposes a deep learning‐based approach using Long Short‐Term Memory, leveraging its inherent advantages in learning long‐term dependencies within hydrologi…
How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant
Authors: Yanyan Ma, Yiheng Qiao, Mengxue Chen, Dongni Rui, Xuxiang Zhang, Weijing Liu et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.123041 · Citations: 28
Matched topics: water management
Abstract not available.
Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment
Authors: Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonović, Milan Stojković
Journal: Water Research X · DOI: 10.1016/j.wroa.2024.100297 · Citations: 17
Matched topics: hydrologic model, streamflow, water management
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show…
Soil water content prediction across seasons using random forest based on precipitation-related data
Authors: Pei-Yuan Chen, Chien-Chih Chen, Kang Chu, Jiawei Liu, Yi-Heng Li
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2024.109802 · Citations: 20
Matched topics: water management, land surface model
• Hourly Soil Water Content (SWC) is reasonably predicted by random forest based on past hourly precipitation. • Consistent cumulative rainfall is identified as the input variable. • Prediction errors are minor except for the extreme SWC observations in the rainy season. Predicting the soil water content (SWC) is crucial to prepare for and mitigate risks during dry periods, particularly before droughts. It also ensures effective water management and precise irrigation of agricultural land. Fe…
Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model
Authors: Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao
Journal: Scientific Reports · DOI: 10.1038/s41598-024-83277-8 · Citations: 24
Matched topics: water management
-N, TP, and TN predictions reach 0.99989. Compared to five other models, the RFR model demonstrates the best performance across all water quality indicator predictions. This work provides critical support for optimizing wastewater treatment technologies and developing water resource management policies. These findings also offer essential theoretical and empirical insights for the future improvement of urban wastewater treatment technologies and water resource management decision-making.
Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al2O3/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects
Authors: Tarikul Islam, Sílvio Gama, Marco Martins Afonso
Journal: Mathematics · DOI: 10.3390/math13010078 · Citations: 16
Matched topics: water management, surface water
This study explores the optimization of a Cu–Al2O3/water hybrid nanofluid within an irregular wavy enclosure under inclined periodic MHD effects. Hybrid nanofluids, with different mixture ratios of copper (Cu) and alumina (Al2O3) nanoparticles in water, are used in this study. Numerical simulations using the Galerkin residual-based finite-element method (FEM) are conducted to solve the governing PDEs. At the same time, artificial neural networks (ANNs) and response surface methodology (RSM) a…
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.
Optimizing hydropower generation with reservoir level management in humid regions
Authors: Julian David Hunt, Andreas Nascimento, Behnam Zakeri, Ansir Ilyas, Dorel Soares Ramos, Alban Kuriqi et al.
Journal: Energy Reports · DOI: 10.1016/j.egyr.2024.12.064 · Citations: 4
Matched topics: hydrology, hydrologic model, streamflow, reservoir, water management, hydropower
It is well known that water management practices can have a significant impact on the climate and hydrology of a region. As a rule, the average flow downstream decreases due to the construction of new hydropower plants and the operation of new dams, as evaporation increases in the upstream dams. However, this is not the case in every situation. This study shows that dams in humid areas such as Brazil can help to increase river flow. This phenomenon occurs due to the high humidity and low wind…
Water Management, Irrigation, and Groundwater
Water management research this week spans 8 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.
Climate-Based AI-Powered Precision Irrigation: Sustainably Smart Agriculture Frameworks for Maximum Crop Yields
Authors: Jyoti A. Dhanke, Diksha Srivastava, D. Menaga, Roop Raj, Kambala Vijaya Kumar, Pradeep Jangir et al.
Journal: Remote Sensing in Earth Systems Sciences · DOI: 10.1007/s41976-024-00174-4 · Citations: 30
Matched topics: irrigation, earth system model
Abstract not available.
Drought monitoring of large lakes in Iraq using remote sensing images and normalized difference water index (NDWI)
Authors: Mohammed Riyadh Mahmood, Baydaa I. Ibrahem, Huda Jamal Jumaah, Hayder A. Alalwan, Malik M. Mohammed
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.103854 · Citations: 20
Matched topics: water management, drought, surface water
• Mapping surface water is a step to understanding the stock of fresh water. • There is a successive high decrease in the surface area of the lakes in the study area. • Remote sensing and GIS applications offer advanced ways of monitoring surface water changes. Drought conditions bring many problems to water resources, especially in areas of low precipitation. This study employs the Normalized Difference Water Index (NDWI) to understand the severity of drought for effective and sustainable ut…
Thawing permafrost is subsiding in the Northern Hemisphere—review and perspectives
Authors: D. A. Streletskiy, Alexey Maslakov, Guido Grosse, N. I. Shiklomanov, Louise Farquharson, Simon Zwieback et al.
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ada2ff · Citations: 29
Matched topics: hydrology
Abstract High-latitude and altitude cold regions are affected by climate warming and permafrost degradation. One of the major concerns associated with degrading permafrost is thaw subsidence (TS) due to melting of excess ground ice and associated thaw consolidation. Field observations, remote sensing, and numerical modeling are used to measure and estimate the extent and rates of TS across broad spatial and temporal scales. Our new data synthesis effort from diverse permafrost regions of Nort…
Fate and Transport of Heavy Metals in Soil, Surface Water, and Groundwater: Implications for Environmental Management
Authors: Ahmed Dashtey
Journal: International Journal of Scientific Research and Management (IJSRM) · DOI: 10.18535/ijsrm/v12i12.c01 · Citations: 11
Matched topics: hydrology, hydrologic model, water management, surface water
Critical challenges caused by heavy metals, such as hexavalent chromium, arsenic, and cadmium, emanate from their persistence and toxicity. This work discusses the fate and transport of heavy metals in the soil, surface water, and groundwater, focusing on their sources, pathways, and mechanisms of mobility. The research, therefore, underlines the key processes governing the behavior of heavy metals in environmental media by using a comprehensive review of field data and advanced modeling tech…
A cost-effective, salt-resistant and environmentally stable solar evaporator with a wetting-gradient bilayer structure for long-term seawater desalination
Authors: Huihui Du, Yiwei Li, Jing Meng, Renjie Wei, Qingying Meng, Yuhao Cao et al.
Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2024.158957 · Citations: 24
Matched topics: water management
Abstract not available.
Human health risk assessment of drinking water using heavy metal pollution index: a GIS-based investigation in mega city
Authors: Maria Latif, Iqra Nasim, Mubeen Ahmad, Rab Nawaz, Arifa Tahir, Muhammad Atif Irshad et al.
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02341-w · Citations: 23
Matched topics: water management
Contaminated drinking water poses a significant threat to public health, particularly in urban areas where industrial and environmental pollutants may affect water quality. However, there is a lack of comprehensive studies that evaluate the specific health risks associated with harmful metal contaminants in drinking water. This study seeks to address this gap by assessing water quality and metal contamination using pollution indices and human health risk assessments. The findings will help to…
Comparative analysis of heavy metals toxicity in drinking water of selected industrial zones in Gujranwala, Pakistan
Authors: Iqra Afzal, Shaheen Begum, Shazia Iram, Rabia Shabbir, Abdelaaty A. Shahat, Tehseen Javed
Journal: Scientific Reports · DOI: 10.1038/s41598-024-82138-8 · Citations: 23
Matched topics: water management
Heavy metal contamination of drinking water, primarily driven by industrial activities, represents a critical challenge, with implications for human health and environmental safety. Gujranwala is an industrial and thickly populated city. The current study aimed to assess and compare heavy metal contamination levels in drinking water from five industrial areas and evaluate their potential impacts on human health. Total 100 water samples were collected and analysed for physicochemical parameter…
All-in-one MXene/PDA@MF-EF solar steam generator with semi-clad construction for efficient interfacial evaporation, water purification and desalination
Authors: Xiaotong Mu, Wenbo Han, Hongpeng Zhang, Rui Li, Chenzhao Bai, Wei Li et al.
Journal: Separation and Purification Technology · DOI: 10.1016/j.seppur.2024.131344 · Citations: 21
Matched topics: water management
Abstract not available.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 16 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.
AI-driven approaches for optimizing power consumption: a comprehensive survey
Authors: Parag Biswas, Abdur Rashid, Angona Biswas, MD Abdullah Al Nasim, Sovon Chakraborty, Kishor Datta Gupta et al.
Journal: Discover Artificial Intelligence · DOI: 10.1007/s44163-024-00211-7 · Citations: 80
Matched topics: hydropower, earth system model
Reduced environmental impacts, lower operating costs, and a stable, sustainable energy supply for current and future generations are the main reasons why power optimization is important. Power optimization ensures that energy is used more efficiently, reducing waste and optimizing the utilization of resources. In today’s world, the integration of power optimization and artificial intelligence (AI) is essential for transforming how energy is produced, used, and distributed. AI-driven algorithm…
Improving Global Reservoir Parameterizations by Incorporating Flood Storage Capacity Data and Satellite Observations
Authors: Youjiang Shen, Dai Yamazaki, Yadu Pokhrel, Gang Zhao
Journal: Water Resources Research · DOI: 10.1029/2024wr037620 · Citations: 17
Matched topics: hydrology, hydrologic model, streamflow, reservoir, flood, land surface model, earth system model
Abstract Accurate reservoir representation in large‐scale river models remains challenging owing to limited access to data on reservoir operations. We contribute to model development by introducing a global machine‐learning based flood storage capacity (FSC) data set and a satellite‐based target storage reservoir operation scheme (SBTS). The FSC data set for 1,178 flood control reservoirs is constructed using multiple reservoir attributes and reported FSC data. Integrating these FSCs into SBT…
LW-YOLO11: A Lightweight Arbitrary-Oriented Ship Detection Method Based on Improved YOLO11
Authors: Jianwei Huang, Kangbo Wang, Yue Hou, Jiahe Wang
Journal: Sensors · DOI: 10.3390/s25010065 · Citations: 43
Matched topics: earth system model
Arbitrary-oriented ship detection has become challenging due to problems of high resolution, poor imaging clarity, and large size differences between targets in remote sensing images. Most of the existing ship detection methods are difficult to use simultaneously to meet the requirements of high accuracy and speed. Therefore, we designed a lightweight and efficient multi-scale feature dilated neck module in the YOLO11 network to achieve the high-precision detection of arbitrary-oriented ships…
Global disparities in transboundary river research have implications for sustainable management
Authors: Mehebub Sahana, Md Kutubuddin Dhali, Sarah Lindley
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01928-0 · Citations: 23
Matched topics: river, runoff, water management, hydropower
Abstract Anthropogenic pressures, climate change, and hydro-politics pose significant risks for sustainable transboundary river basin management. We reviewed 4237 publications using machine learning and conducted a desk review of 325 publications, analyzing 4713 case studies across 286 basins. Our objectives were to: assess major perspectives and key research themes; analyse how they vary based on basin size, location, runoff, water withdrawal, discharge, and consumption; and reflect on impli…
Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics
Authors: Marwan Al‐Raeei
Journal: Discover Sustainability · DOI: 10.1007/s43621-024-00775-5 · Citations: 37
Matched topics: water management
The integration of artificial intelligence (AI) into environmental monitoring, climate action, and sustainability has become increasingly important, particularly in tackling the global challenges associated with climate change. In this article, we critically assess the role of AI within the frameworks of the United Nations’ Sustainable Development Goals (SDGs) 11 (Sustainable Cities and Communities) and 13 (Climate Action). This study shows how AI applications can significantly enhance climat…
A SWAT model depicts the impact of land use change on hydrology, nutrient, and sediment loads in a Lake Michigan watershed
Authors: M. Aboelnour, Jennifer L. Tank, A. Hamlet, L. Bertassello, Dongyang Ren, Diogo Bolster
Journal: Modeling Earth Systems and Environment · DOI: 10.1007/s40808-024-02259-x · Citations: 14
Matched topics: hydrology, hydrologic model, streamflow, water management, land surface model
Abstract High levels of nutrient loads in a catchment indicate the presence of pollution sources that must be identified and quantified. These loads in surface and groundwater have been a major concern that impacts water quality in the Midwestern US, including the Great Lakes Basin. In this study, we use the Soil and Water Assessment Tool (SWAT) to assess the impact of land use changes on hydrology, nutrients, and sediment loads for the St. Joseph River Basin (SJRB), which drains an area of 1…
Distribution, Partitioning, Source Apportionment, and Ecological Risk Assessment of Legacy and Emerging PFAS in Water and Sediment of the Pearl River Delta
Authors: Renjie Bian, William A. Stubbings, Fangbai Li, Fengchang Wu, Shaorui Wang
Journal: ACS ES&T Water · DOI: 10.1021/acsestwater.4c00828 · Citations: 29
Matched topics: river, surface water
The occurrence and risk assessment of legacy and emerging poly- and perfluoroalkyl substances (PFAS) in aquatic environments are attracting public concern due to their environmental persistence and potential risks to ecosystems and humans. This study investigated the distribution, partitioning, and ecological risk of PFAS in four rivers of the Pearl River Delta (PRD). The results showed that the mean values of ∑33PFAS in surface water and ∑30PFAS in sediment were 69 and 2.3 ng/g, respectively…
Nitrogen and phosphorus non-point source pollution in the upper Wujiang River Karst Basin: Critical source areas identification and influencing factors
Authors: Chengcheng Hu, Qixin Wu, Guodong Liu, Haiyan Ran, Mingzhe Guo, Jianping Zhu et al.
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.112989 · Citations: 16
Matched topics: river, runoff, water management
• Field sampling and SWAT modeling assess NPS pollution impacts in karst regions. • Land use, rainfall, and runoff influence N and P NPS pollution in karst basins. • Sloping agricultural land and soil erosion significantly threaten karst basins. Non-point source (NPS) pollution poses a severe threat to the safety of aquatic environments. The self-cleaning ability of karst systems can effectively reduce the level of NPS pollution. However, affected by high-intensity rainfall and agricultural N…
Effects of future climate and land use changes on runoff in tropical regions of China
Authors: Shiyu Xue, Xiaohui Guo, Yanhu He, Hao Cai, Jun Li, Lirong Zhu et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-024-81754-8 · Citations: 11
Matched topics: hydrology, hydrologic model, runoff, streamflow
Climate change and human activities are the primary drivers influencing changes in runoff dynamics. However, current understanding of future hydrological processes under scenarios of gradual climate change and escalating human activities remains uncertain, particularly in tropical regions affected by deforestation. Based on this, we employed the SWAT model coupled with the near future (2021-2040) and middle future (2041-2060) global climate models (GCMs) under four shared socioeconomic pathwa…
Mitigating pesticide mixture hazard in global surface waters through agricultural management
Authors: Jian Chen, Li Zhao, Bin Wang, Lee Blaney, Jun Huang, Xinyi He et al.
Journal: One Earth · DOI: 10.1016/j.oneear.2024.11.017 · Citations: 20
Matched topics: runoff, surface water
Abstract not available.
Runoff Generation Signaled by Deviations from the Budyko Framework
Authors: Girum Getachew Demeke, Jr‐Chuan Huang, Yi‐Ying Chen
Journal: Water Resources Management · DOI: 10.1007/s11269-024-04059-5 · Citations: 9
Matched topics: hydrology, hydrologic model, runoff, streamflow
Water‒energy dynamics, often characterized via the Budyko framework, drives various hydrological processes. However, the influence of short-term deviations from the long-term Budyko curve on runoff is rarely discussed. This study utilized the SWAT model to simulate different runoffs in an Ethiopian watershed with scarce datasets; which addressed the linkage between short-term evaporation deviation and runoff generations. The results revealed that the SWAT model effectively simulates the disch…
Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields
Authors: Daniel Badawi, Eduardo Gildin
Journal: Computers & Geosciences · DOI: 10.1016/j.cageo.2024.105826 · Citations: 23
Matched topics: reservoir
Abstract not available.
Target and Nontarget Analysis of Organophosphorus Flame Retardants and Plasticizers in a River Impacted by Industrial Activity in Eastern China
Authors: Yilin Wu, Yiming Yao, Shijie Chen, Xiaoxiao Li, Ziyuan Wang, Jing Wang et al.
Journal: Environmental Science & Technology · DOI: 10.1021/acs.est.4c09875 · Citations: 22
Matched topics: river
ng/L, respectively. Structurally similar organophosphorus heterocycles exhibited consistent variation trends, suggesting a common emission source. Estimated annual river discharges to the sea were 20.6-37.0 kg/yr for OPFRs and 30.8-161 kg/yr for NOPs. These findings indicate that industrial activities contribute OPFRs and NOPs to the river catchment and its estuary, posing ecological risks to both terrestrial and marine environments.
Characteristics of runoff and sediment transport during flood events in the upper Yangtze River, China, in the last 50 years
Authors: Juli Xue, Wei Zhang, Shaojun Zhai, Xinbo Liu, Chaonan Lv, Bingjiang Dong et al.
Journal: CATENA · DOI: 10.1016/j.catena.2024.108688 · Citations: 7
Matched topics: hydrologic model, river, runoff, flood
Abstract not available.
Impact of cascade reservoir on the sources of organic matter in sediments of Lancang river
Authors: Yufei Bao, Meng Sun, Yuchun Wang, Ji Lu, Yajie Wu, Xuejiao Chen et al.
Journal: iScience · DOI: 10.1016/j.isci.2024.111681 · Citations: 7
Matched topics: river, streamflow, reservoir, hydropower
The construction of dams to intercept natural rivers constitutes the most severe human activity influencing the underlying surface. This study focuses on four cascade reservoirs of the Lancang River and explores their impact on the migration of organic matter in sediments. The research reveals significant spatial variations in total organic carbon (TOC) and total nitrogen concentrations in the sediments of the four reservoirs. The carbon and nitrogen isotopes indicate that terrigenous organic…
Comprehensive Analysis beyond Traditional Organophosphate Esters (OPEs) Uncovers the Prevalence of Novel OPEs and Related Compounds in River Waters
Authors: Jingrun Hu, Yi Liu, Yitao Lyu, Mingzhen Li, Kai Wu, Weiling Sun
Journal: ACS ES&T Water · DOI: 10.1021/acsestwater.4c00953 · Citations: 16
Matched topics: river, surface water
This study aims to comprehensively characterize the occurrence and potential risks of organophosphate esters (OPEs), especially the novel OPEs and related compounds present in river waters. Using high-resolution mass spectrometry, we conducted a comprehensive analysis of OPE-related compounds in water samples (n = 90) from the Chaobai River in Beijing, China. Target screening detected 16 traditional OPEs with cumulative concentrations of 0.69–1315 ng/L in spring and 1.5–1218 ng/L in autumn wa…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 904 |
| After deduplication | 652 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 602 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Hydrology | 4 |
| Ecological Indicators | 3 |
| Scientific Reports | 3 |
| Water Resources Research | 2 |
| Communications Earth & Environment | 2 |
| ACS ES&T Water | 2 |
| Remote Sensing | 2 |
| Discover Artificial Intelligence | 1 |
| Materials Today Sustainability | 1 |
| Sensors | 1 |
| Earth Science Informatics | 1 |
| Discover Sustainability | 1 |
| Modeling Earth Systems and Environment | 1 |
| Remote Sensing in Earth Systems Sciences | 1 |
| Wiley Interdisciplinary Reviews Water | 1 |
| Results in Engineering | 1 |
| Environmental Research Letters | 1 |
| Energy Reports | 1 |
| Water Research | 1 |
| Water Research X | 1 |
| International Journal of Scientific Research and Management (IJSRM) | 1 |
| One Earth | 1 |
| Computers and Electronics in Agriculture | 1 |
| Chemical Engineering Journal | 1 |
| Fuel | 1 |
| Geoscience Data Journal | 1 |
| Water Resources Management | 1 |
| Computers & Geosciences | 1 |
| Applied Water Science | 1 |
| Atmospheric Research | 1 |
| Environmental Science & Technology | 1 |
| Journal of Agricultural and Food Chemistry | 1 |
| Agronomy | 1 |
| CATENA | 1 |
| iScience | 1 |
| Separation and Purification Technology | 1 |
| Agricultural Water Management | 1 |
| Mathematics | 1 |
| Environmental Earth Sciences | 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