Weekly Literature Review
Week 37 · September 9–September 15, 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 HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single b, with 114 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
- Sustainable farming practices and soil health: a pathway to achieving SDGs and future prospects
- Review: Recent Developments in the Implementation of Activated Carbon as Heavy Metal Removal Management
- Synergistic adsorption-photocatalytic remediation of methylene blue dye from textile industry wastewater over NiFe LDH supported on tyre-ash derived activated carbon
- Large-sample hydrology – a few camels or a whole caravan?
- Expanding forest carbon sinks to mitigate climate change in Africa
- Achieving highly interfacial evaporation rate and continuous salt resistance simultaneously via multi-dimensional composite biomimetic evaporator
- High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China
- A truncated B-box zinc finger transcription factor confers drought sensitivity in modern cultivated tomatoes
- Climate change impact on water scarcity in the Hub River Basin, Pakistan
- Rethinking energy poverty alleviation through financial inclusion: Do institutional quality and climate change risk matter?
- Novel and stable carbon black/polyvinyl acetal aerogels efficiently harvesting solar energy for seawater desalination
- Predicting groundwater level based on remote sensing and machine learning: a case study in the Rabat-Kénitra region
- The timing and duration of large-scale carbon release in the Early Jurassic
- Reduced productivity and carbon drawdown of tropical forests from ground-level ozone exposure
- Flood Risk Assessment and Extreme Precipitation
- Research progress and prospects of urban flooding simulation: From traditional numerical models to deep learning approaches
- A review of flood risk assessment frameworks and the development of hierarchical structures for risk components
- Nature-Based Solutions Scenario Planning for Climate Change Adaptation in Arid and Semi-Arid Regions
- Machine Learning and AI for Hydrological Prediction
- HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
- Towards normalizing good practice across the whole modeling cycle: its instrumentation and future research topics
- Improving soil moisture prediction with deep learning and machine learning models
- Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism
- Risk assessment of bridge construction investigated using random forest algorithm
- A Comparative Study of Machine Learning Models for Daily and Weekly Rainfall Forecasting
- Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain
- A performance evaluation of random forest, artificial neural network, and support vector machine learning algorithms to predict spatio-temporal land use-land cover dynamics: a case from lusaka and colombo
- Forecasting of meteorological drought using ensemble and machine learning models
- Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
- Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Using water and wastewater decentralization to enhance the resilience and sustainability of cities
- Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling
- Optimizing water-fertilizer integration with drip irrigation management to improve crop yield, water, and nitrogen use efficiency: A meta-analysis study
- Nanoscale Fluorinated Carbon Dots for the Detection of Perfluorooctanoic Acid in Aqueous Systems: A Fluorescence Assay Enhanced by Fluorophilic Interactions
- Developing water supply reservoir operating rules for large-scale hydrological modelling
- Agronomic Strategies for Sustainable Cotton Production: A Systematic Literature Review
- Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability
- System dynamic model of water, energy and food nexus for policy implementation
- Fate of persistent and mobile chemicals in the water cycle: From municipal wastewater discharges to river bank filtrate
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Energy efficiency in electrocoagulation processes for sustainable water and wastewater treatment
- Quantifying the changes in solute transport caused by human influence on river connectivity in inland river basins
- In situ formation of biomolecular condensates as intracellular drug reservoirs for augmenting chemotherapy
- Preparation and properties of sustainable superhydrophobic cotton fabrics modified with lignin nanoparticles, tannic acid and methyltrimethoxysilane
- Cyclic Gas Injection in Low-Permeability Oil Reservoirs: Progress in Modeling and Experiments
- Coupling SWAT and LSTM for Improving Daily Streamflow Simulation in a Humid and Semi-humid River Basin
- Advancing forest hydrological research: exploring global research trends and future directions through scientometric analysis
- Cost‐Effective and Fully Hardware‐Oriented Reservoir Computing Based on IGZO/HZO Ferroelectric Thin‐Film Transistor with Electrically and Optically Distinguishable States
- Trajectory of antibiotic resistome response to antibiotics gradients: A comparative study from pharmaceutical and associated wastewater treatment plants to receiving river
- The impact of emissions controls on atmospheric nitrogen inputs to Chinese river basins highlights the urgency of ammonia abatement
- Deciphering the molecular composition and sources of dissolved organic matter in urban rivers based on optical spectroscopy and FT-ICR-MS analyses
- Statistics
- 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.
Sustainable farming practices and soil health: a pathway to achieving SDGs and future prospects
Authors: Pooja Sharma, Parul Sharma, Nitika Thakur
Journal: Discover Sustainability · DOI: 10.1007/s43621-024-00447-4 · Citations: 87
Matched topics: water management
Sustainable farming practices aim to produce agricultural products at a low environmental cost, ensuring food availability for future generations. These approaches combine the production of agricultural crops and livestock for site-specific uses, with an emphasis on long-term objectives including satisfying the food supply worldwide, improving the environment, making the most efficient use of resources and boosting the welfare of farmers and society as a whole. Sustainability in farming is mo…
Review: Recent Developments in the Implementation of Activated Carbon as Heavy Metal Removal Management
Authors: Ioan Peț, Mohamed N. Sanad, Mohamed Farouz, Mohamed M. ElFaham, Ahmed El‐Hussein, M. S. Abd El-sadek et al.
Journal: Water Conservation Science and Engineering · DOI: 10.1007/s41101-024-00287-3 · Citations: 70
Matched topics: surface water
Water contamination, particularly by heavy metals originating from industrial processes, presents a significant threat to environmental sustainability and socio-economic development. Activated carbon (AC) has garnered considerable attention as a treatment due to its exceptional adsorption properties, characterized by a high surface area (273–827 m2/g), significant total pore volumes (0.27–0.69 ml/g), and well-defined micropores (8.2–12.4 nm), alongside tunable surface chemistry. Research effo…
Synergistic adsorption-photocatalytic remediation of methylene blue dye from textile industry wastewater over NiFe LDH supported on tyre-ash derived activated carbon
Authors: Tshimangadzo S. Munonde, Ntakadzeni Madima, Rudzani Ratshiedana, Philiswa N. Nomngongo, Lethula E. Mofokeng, Ratshilumela S. Dima
Journal: Applied Surface Science · DOI: 10.1016/j.apsusc.2024.161205 · Citations: 59
Matched topics: surface water
• NiFe LDH/AC with exposed layers and a carbon backbone were hydrothermally fabricated. • The synergy between NiFe LDH and AC improved the visible light MB degradation efficiency. • NiFe LDH/AC could remove 85–87% of MB from textile wastewater and 90–92% of MB in river water samples. • UPLC/MS data suggested that MB was mineralized into simpler fragments after 30 min of visible light irradiation. • NiFe LDH/AC structure remained intact suggesting the strong stability of the photocatalyst. The…
Large-sample hydrology – a few camels or a whole caravan?
Authors: Franziska Clerc-Schwarzenbach, Giovanni Selleri, M. Neri, Elena Toth, Ilja van Meerveld, Jan Seibert
Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-28-4219-2024 · Citations: 31
Matched topics: hydrology, hydrologic model, streamflow
Abstract. Large-sample datasets containing hydrometeorological time series and catchment attributes for hundreds of catchments in a country, many of them known as “CAMELS” (Catchment Attributes and MEteorology for Large-sample Studies), have revolutionized hydrological modelling and have enabled comparative analyses. The Caravan dataset is a compilation of several (CAMELS and other) large-sample datasets with uniform attribute names and data structures. This simplifies large-sample hydrology …
Expanding forest carbon sinks to mitigate climate change in Africa
Authors: Vincent Nzabarinda, Anming Bao, Liu Tie, Solange Uwamahoro, Alphonse Kayiranga, Friday Uchenna Ochege et al.
Journal: Renewable and Sustainable Energy Reviews · DOI: 10.1016/j.rser.2024.114849 · Citations: 42
Matched topics: climate change
Forests significantly contribute to climate change mitigation by acting as carbon sinks, sequestering atmospheric carbon dioxide, and keeping it in soil and biomass. Covering 22 % of its land, African forests offer numerous benefits to millions of people. Nevertheless, they face threats from human activities like deforestation and degradation. A holistic approach encompassing social, economic, and environmental factors is necessary to sustain forests as carbon sinks for maximum carbon sequest…
Achieving highly interfacial evaporation rate and continuous salt resistance simultaneously via multi-dimensional composite biomimetic evaporator
Authors: Lie Zou, He Zhang, Qianwang Chen, Size Zheng, Ning Chen, Xiaohu Wu et al.
Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2024.155762 · Citations: 32
Matched topics: water management, surface water
• Tamarisk-inspired evaporator with excellent light absorption, thermal localization and water transport performance. • The optical properties and the thermal localization mechanism were investigated by numerical simulations. • Evaporation rate of the evaporator was as high as 3.190 kg m −2 h −1 under 1 sun. • The combined Marangoni thermal and solute effects have resulted in excellent salt resistance of the evaporator. In response to the global freshwater crisis, various measures have been p…
High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China
Authors: Qian He, Ming Wang, Kai Liu, Bowen Wang
Journal: Geography and sustainability · DOI: 10.1016/j.geosus.2024.08.007 · Citations: 26
Matched topics: water management, drought
• A 1-km Standardized Precipitation Evapotranspiration Index dataset was generated. • Drying trend was more pronounced in 1901–1960 than 1961–2020. • Vegetation in China experienced more water surplus than water deficit during 2000–2020. • Vegetation water deficit areas are significantly shrinking in the past two decades. Understanding vegetation water availability can be important for managing vegetation and combating climate change. Changes in vegetation water availability throughout China …
A truncated B-box zinc finger transcription factor confers drought sensitivity in modern cultivated tomatoes
Authors: Jinhua Li, Ai Guo, Yaling Wang, Ying Ding, Xiaomeng Hu, Yan Liang et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-51699-7 · Citations: 30
Matched topics: drought
allele and are more drought sensitive. Knockout of BBX18 leads to improved drought tolerance in transgenic plants of cultivated tomato. Ascorbate peroxidase 1 (APX1) is identified as a BBX18-interacting protein that acts as a positive regulator of drought resistance in tomato. Chromatin immunoprecipitation sequencing analyses reveal that BBX18 binds to a unique cis-acting element of the APX1 promoter and represses its gene expression. This study provides insights into the molecular mechanism …
Climate change impact on water scarcity in the Hub River Basin, Pakistan
Authors: Muhammad Nabeel Aslam, Saqib Ashraf, Sangam Shrestha, Mustajab Ali, Nguyen Cong Hanh
Journal: Groundwater for Sustainable Development · DOI: 10.1016/j.gsd.2024.101339 · Citations: 9
Matched topics: river, water management, land surface model, climate change, surface water
Abstract not available.
Rethinking energy poverty alleviation through financial inclusion: Do institutional quality and climate change risk matter?
Authors: Isaiah Maket
Journal: Utilities Policy · DOI: 10.1016/j.jup.2024.101820 · Citations: 26
Matched topics: climate change
Abstract not available.
Novel and stable carbon black/polyvinyl acetal aerogels efficiently harvesting solar energy for seawater desalination
Authors: Shuyue Feng, Yongpeng Wang, Mengzhu Liu, Haoyue Wu, Wenhan Wang, Haibo Zhang et al.
Journal: Desalination · DOI: 10.1016/j.desal.2024.118123 · Citations: 26
Matched topics: surface water
Abstract not available.
Predicting groundwater level based on remote sensing and machine learning: a case study in the Rabat-Kénitra region
Authors: Abdessamad Elmotawakkil, Abdelkhalik Sadiki, Nourddine Enneya
Journal: Journal of Hydroinformatics · DOI: 10.2166/hydro.2024.494 · Citations: 21
Matched topics: water management, land surface model
ABSTRACT Groundwater is essential for sustaining water needs, industrial growth, agriculture, and ecosystems, particularly in arid regions. This study uses data from GRACE and MODIS satellites, integrating environmental variables like land surface temperature, soil moisture, terrestrial water storage, precipitation, and vegetation indices to predict groundwater levels in Morocco’s Rabat-Salé Kenitra region. These environmental variables serve as input parameters, with the output being the pre…
The timing and duration of large-scale carbon release in the Early Jurassic
Authors: David B. Kemp, Jahandar Ramezani, Kentaro Izumi, Aisha Al Suwaidi, Chunju Huang, Wenhan Chen et al.
Journal: Geology · DOI: 10.1130/g52457.1 · Citations: 25
Matched topics: hydrology
Abstract The Toarcian oceanic anoxic event (T-OAE, ca. 183 Ma) in the Early Jurassic was one of the most significant warming events of the Phanerozoic, associated with large-scale carbon emissions, mass extinction, and perturbations to hydrology and ocean chemistry. However, the age and duration of this hyperthermal have long been uncertain, hindering our understanding of the timing and pace of carbon release and the associated environmental and biotic changes. We present high-precision radio…
Reduced productivity and carbon drawdown of tropical forests from ground-level ozone exposure
Authors: Alexander W. Cheesman, Flossie Brown, Paulo Artaxo, Mst Nahid Farha, Gerd Folberth, Felicity Hayes et al.
Journal: Nature Geoscience · DOI: 10.1038/s41561-024-01530-1 · Citations: 20
Matched topics: hydrology, earth system model
Abstract Elevated ground-level ozone, a result of human activity, is known to reduce plant productivity, but its influence on tropical forests remains unclear. Here we estimate how increased ozone exposure has affected tropical-forest productivity and the global carbon cycle. We experimentally measure the ozone susceptibility of various tropical tree species, and then incorporate these data into a dynamic global vegetation model. We find that current anthropogenic-derived ozone results in a s…
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.
Research progress and prospects of urban flooding simulation: From traditional numerical models to deep learning approaches
Authors: Bowei Zeng, Guoru Huang, Wenjie Chen
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2024.106213 · Citations: 35
Matched topics: hydrologic model, flood
Abstract not available.
A review of flood risk assessment frameworks and the development of hierarchical structures for risk components
Authors: Nazgol Tabasi, M. Fereshtehpour, B. Roghani
Journal: Discover Water · DOI: 10.1007/s43832-025-00193-2 · Citations: 31
Matched topics: flood
Climate change and rapid urbanization have intensified the frequency and severity of flooding, resulting in substantial damage to communities and infrastructure. Existing research on flood risk addresses a wide range of dimensions, ranging from physical to managerial aspects, which adds complexity to the assessment process. This paper introduces the Integrated Risk Linkages (IRL) Framework to provide a systematic approach to flood risk assessment. The IRL Framework defines risk as the interse…
Nature-Based Solutions Scenario Planning for Climate Change Adaptation in Arid and Semi-Arid Regions
Authors: Rıfat Olgun, Chingwen Cheng, Paul Coseo
Journal: Land · DOI: 10.3390/land13091464 · Citations: 22
Matched topics: water management, climate change
Extreme climatic conditions cause a decrease in ecosystem services, the disruption of the ecological balance, and damage to human populations, especially in areas with socially vulnerable groups. Nature-based solutions applying blue-green infrastructure (BGI) against these negative impacts of climate change have an important role in planning sustainable cities. This study aims to identify priority areas and develop scenarios and strategies for spatial planning to understand the tradeoffs in a…
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.
HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Authors: Frederik Kratzert, Martin Gauch, Daniel Klotz, Grey Nearing
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4187-2024 · Citations: 114
Matched topics: hydrology, hydrologic model, runoff, streamflow
Abstract. Machine learning (ML) has played an increasing role in the hydrological sciences. In particular, Long Short-Term Memory (LSTM) networks are popular for rainfall–runoff modeling. A large majority of studies that use this type of model do not follow best practices, and there is one mistake in particular that is common: training deep learning models on small, homogeneous data sets, typically data from only a single hydrological basin. In this position paper, we show that LSTM rainfall–…
Towards normalizing good practice across the whole modeling cycle: its instrumentation and future research topics
Authors: Anthony J. Jakeman, Sondoss Elsawah, Hsiao‐Hsuan Wang, Serena H. Hamilton, Lieke Melsen, Volker Grimm
Journal: Socio-Environmental Systems Modeling · DOI: 10.18174/sesmo.18755 · Citations: 104
Matched topics: hydrology, hydrologic model
Choices made in modeling matter and demand more explication since they determine how much we can trust modeling insights and predictions within their social, political and ethical contexts. Good Modeling Practice (GMP) is a key research area for strengthening and maturing the modeling field and community, through identifying, formulating and sharing knowledge about the craft of modeling. This craft represents the knowledge that modelers learn in practice about how they get things done, and ho…
Improving soil moisture prediction with deep learning and machine learning models
Authors: Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, Yiannis Ampatzidis, Gerrit Hoogenboom
Journal: Computers and Electronics in Agriculture · DOI: 10.1016/j.compag.2024.109414 · Citations: 62
Matched topics: hydrology, water management
Abstract not available.
Improving Long-Term Flood Forecasting Accuracy Using Ensemble Deep Learning Models and an Attention Mechanism
Authors: Marjan Kordani, Mohammad Reza Nikoo, Mahmood Fooladi, Iman Ahmadianfar, Rouzbeh Nazari, Amir H. Gandomi
Journal: Journal of Hydrologic Engineering · DOI: 10.1061/jhyeff.heeng-6262 · Citations: 50
Matched topics: streamflow, flood
Floods, as major natural disasters, cause massive property destruction and death. Understanding the occurrence time of this event by advance notice helps consider operational flood prevention systems and platforms. Precise flood forecasting provides a suitable time for policymakers and the public to consider helpful responses to this event. This study introduces an innovative methodology to enhance the precision of long-term flood predictions by employing a multistep forecasting approach. Our…
Risk assessment of bridge construction investigated using random forest algorithm
Authors: Yingwei Wu, Yigang Wang, Hongbing Liu, Liping Xie, Lili Jiao, Pengzhen Lu
Journal: Scientific Reports · DOI: 10.1038/s41598-024-72051-5 · Citations: 46
Matched topics: hydrology
Bridge construction collapse is one of the most common bridge safety accidents. At present, evaluation results are often affected by the ability and experience of the assessor. Therefore, it is difficult to quickly, accurately and effectively evaluate the risk in the process of bridge construction. Moreover, key factors that can prevent accidents can hardly find from the existing bridge construction safety management and evaluation method. This paper analyzes and classifies the artificial and…
A Comparative Study of Machine Learning Models for Daily and Weekly Rainfall Forecasting
Authors: Vijendra Kumar, Naresh Kedam, Özgür Kişi, Saleh Alsulamy, Khaled Mohamed Khedher, Mohamed Abdelaziz Salem
Journal: Water Resources Management · DOI: 10.1007/s11269-024-03969-8 · Citations: 46
Matched topics: streamflow
Abstract Accurate rainfall forecasting is crucial for various sectors across diverse geographical regions, including Uttarakhand, Uttar Pradesh, Haryana, Punjab, Himachal Pradesh, Madhya Pradesh, Rajasthan, and the Union Territory of Delhi. This study addresses the need for precise rainfall predictions by bridging the gap between localized meteorological data and broader regional influences. It explores how rainfall patterns in neighboring states affect Delhi’s precipitation, aiming to improv…
Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain
Authors: Fateme Hosseini, Cristina Prieto, César Álvarez
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132003 · Citations: 30
Matched topics: hydrology, hydrologic model, runoff, streamflow
Random Search optimizes hyperparameters of regional LSTM networks for accurate hourly predictions across 40 flashy catchments in Basque Country, Spain. The study achieves high NSE and KGE scores for two different targets, highlighting significant differences between two optimized network architectures and emphasizing the importance of tailored configurations for regional hydrological modeling. • A systematic method for optimizing regional hydrological LSTMs. • An efficient approach to identif…
A performance evaluation of random forest, artificial neural network, and support vector machine learning algorithms to predict spatio-temporal land use-land cover dynamics: a case from lusaka and colombo
Authors: Bwalya Mutale, Neel Chaminda Withanage, Prabuddh Kumar Mishra, Jingwei Shen, Kamal Abdelrahman, Mohammed S. Fnais
Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2024.1431645 · Citations: 42
Matched topics: hydrology
Reliable information plays a pivotal role in sustainable urban planning. With advancements in computer technology, geoinformatics tools enable accurate identification of land use and land cover (LULC) in both spatial and temporal dimensions. Given the need for precise information to enhance decision-making, it is imperative to assess the performance and reliability of classification algorithms in detecting LULC changes. While research on the application of machine learning algorithms in LULC …
Forecasting of meteorological drought using ensemble and machine learning models
Authors: Chaitanya Baliram Pande, Lariyah Mohd Sidek, Abhay M. Varade, Ismail Elkhrachy, Neyara Radwan, Abebe Debele Tolche et al.
Journal: Environmental Sciences Europe · DOI: 10.1186/s12302-024-00975-w · Citations: 20
Matched topics: hydrology, streamflow, water management, drought
This study highlights drought forecasting for understanding the semi-arid area in India, where drought phenomena play vital role in the irrigation, drinking water supplies, and sustaining the ecological with economic balance for every nation. Therefore, drought forecasting is important for the future drought planning based on the machine learning (ML) models. Hence, The Standardized Precipitation Index (SPI) at 3- and 6-month periods have been selected and used for future drought forecasting …
Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
Authors: Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan‐Cheng Chen
Journal: ** · DOI: 10.1109/qce60285.2024.10290 · Citations: 30
Matched topics: flood
Flood prediction is a critical challenge in the context of climate change, with significant implications for ecosystem preservation, human safety, and infrastructure protection. In this study, we tackle this problem by applying the Quantum-Train (QT) technique to a forecasting Long Short-Term Memory (LSTM) model trained by Quantum Machine Learning (QML) with significant parameter reduction. The QT technique, originally successful in the “A Matter of Taste” challenge at QHack 2024, leverages Q…
Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging
Authors: Ali Reza Sattari, Keighobad Jafarzadegan, Hamid Moradkhani
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131986 · Citations: 23
Matched topics: hydrologic model, streamflow
Abstract not available.
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.
Multi-criteria decision analysis of clean energy technologies for envisioning sustainable development goal 7 in Australia: Is solar energy a game-changer?
Authors: Rajvikram Madurai Elavarasan, N. Mithulananthan, GM Shafiullah
Journal: Energy Conversion and Management · DOI: 10.1016/j.enconman.2024.119007 · Citations: 29
Matched topics: hydropower
• Hybrid quantitative–qualitative method is used to assess clean energy technologies in Australia. • Multi-criteria decision analysis is performed using 7 models. • Two weightage models are utilized. • Solar PV technology is the pith of Australia’s energy sustainability vision. • Policies to support solar PV penetration and grid integration are pivotal. Achieving energy sustainability is cardinal to align the efforts of any country towards climate actions. Australia being blessed with high re…
Short-term peak shaving model of cascade hybrid pumped storage hydropower station retrofitted from conventional hydropower
Authors: Bin Luo, Xinyu Liu, Yongcan Chen, Can Zhou, Xin Long
Journal: International Journal of Electrical Power & Energy Systems · DOI: 10.1016/j.ijepes.2024.110226 · Citations: 25
Matched topics: hydropower
• The model is applicable to the peak shaving operation of the retrofitted cascade hydropower station. • Novel linearization methods to enhance the efficiency of model solving. • A 4.6% reduction in the peak-to-valley difference of residual load after retrofitting. • Retrofitting the leading power station enables optimal peak shaving. The integration of pumped storage units with conventional cascade hydropower to form a cascade hybrid pumped storage hydropower station (CHPHPS) is considered o…
Water Management, Irrigation, and Groundwater
Water management research this week spans 9 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.
Using water and wastewater decentralization to enhance the resilience and sustainability of cities
Authors: Manel Garrido‐Baserba, David L. Sedlak, María Molinos‐Senante, Irene Barnosell, Oliver Schraa, Diego Rosso et al.
Journal: Nature Water · DOI: 10.1038/s44221-024-00303-9 · Citations: 86
Matched topics: water management
The imperative to make energy and resource consumption more sustainable is prompting a critical reconsideration of all human endeavours. Within urban water management, the drive to enhance sustainability is grounded in the recognition that water services consume a substantial amount of energy and that wastewater contains valuable resources, including water, heat, organic matter and essential plant nutrients. To make urban water systems more sustainable, a paradigm shift is needed. Among the p…
Review and Comparative Study of Hydrological Models for Rainfall-Runoff Modelling
Authors: Oluwatobi Solomon Olaleye, Olayiwola Akin Akintola, Rafiu Jımoh, Olukemi Gbadebo, Oluwaseun Temitope Faloye
Journal: International Journal of Environment and Geoinformatics · DOI: 10.30897/ijegeo.1514176 · Citations: 10
Matched topics: hydrology, hydrologic model, runoff, water management, land surface model, hydropower, surface water, earth system model
Water is considered as an important resources for human existence on the earth. In order to simulate or optimized hydrological data for various water resources management, several hydrological models are very useful to attain this aim for water resources management and as a decision support tools. A rainfall-runoff model is a quantitative prototype explaining the rainfall-runoff interactions at basin scale. The hydrological models have peculiarities in terms of capabilities for various water …
Optimizing water-fertilizer integration with drip irrigation management to improve crop yield, water, and nitrogen use efficiency: A meta-analysis study
Authors: Xue Yang, Lin Zhang, Xufei Liu
Journal: Scientia Horticulturae · DOI: 10.1016/j.scienta.2024.113653 · Citations: 29
Matched topics: water management, irrigation
Abstract not available.
Nanoscale Fluorinated Carbon Dots for the Detection of Perfluorooctanoic Acid in Aqueous Systems: A Fluorescence Assay Enhanced by Fluorophilic Interactions
Authors: Somayeh Mohammadi, Zayra N. Dorado, Hamidreza Sharifan
Journal: ACS Applied Nano Materials · DOI: 10.1021/acsanm.4c03109 · Citations: 30
Matched topics: surface water
Due to the growing demand for per- and poly fluoroalkyl substances (PFAS) detection, analytical methods are progressively focused on developing facile and efficient techniques for detecting PFAS compounds in water systems to eliminate the need for complex procedures. Here, we developed a nanoscale fluorine(F), nitrogen(N)-doped carbon dot-based fluorescence (FL) sensor designed for the sensitive detection of perfluorooctanoic acid (PFOA) in drinking water. To counterbalance the effects of the…
Developing water supply reservoir operating rules for large-scale hydrological modelling
Authors: Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer et al.
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4203-2024 · Citations: 10
Matched topics: hydrology, hydrologic model, streamflow, reservoir, hydropower
Abstract. Reservoirs are ubiquitous water infrastructure, providing functional capability to manage, and often mitigate, hydrological variability across space and time. The presence and operation of a reservoir control the downstream flow regime, such that in many locations understanding reservoir operations is crucial to understanding the hydrological functioning of a catchment. Despite many advances in modelling reservoir operations, inclusion of reservoirs in large-scale hydrological model…
Agronomic Strategies for Sustainable Cotton Production: A Systematic Literature Review
Authors: Giuseppe Salvatore Vitale, Aurelio Scavo, Silvia Zingale, Teresa Tuttolomondo, Carmelo Santonoceto, Gaetano Pandino et al.
Journal: Agriculture · DOI: 10.3390/agriculture14091597 · Citations: 28
Matched topics: water management
Cotton, with a cultivated area of 31.92 × 106 ha−1 across 80 countries and an estimated annual turnover of USD 5.68 billion, is the world’s leading natural textile fiber. However, many cotton-producing countries have neglected to improve production practices, adversely affecting the environment and society. A systematic review of the sustainable cotton cultivation literature was performed for the first time to identify and suggest context-specific agricultural strategies that can be applied w…
Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability
Authors: Riza Radmehr, B. Wade Brorsen, Samira Shayanmehr
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109052 · Citations: 22
Matched topics: water management, climate change
Sustainable management of water, energy, and food (WEF) under climate change will be a significant challenge for arid agricultural systems. This study developed a fractional non-linear multi-objective programming (FNLMOP) model to optimize resource allocation and improve agricultural sustainability in these systems under climate change. The model was designed in the framework of the WEF nexus to simultaneously improved energy productivity (profit/energy), and water productivity (profit/water)…
System dynamic model of water, energy and food nexus for policy implementation
Authors: Rahim Zahedi, Hossein Yousefi, Alireza Aslani, Rouhollah Ahmadi
Journal: Applied Water Science · DOI: 10.1007/s13201-024-02279-z · Citations: 17
Matched topics: hydrology, water management, hydropower
In this study, a spatiotemporal disaggregated simulation model was developed based on water–food–energy (WFE) nexus approach to assess water and food supply security considering ecosystem provisioning services. The main components of the developed model in this study (SD-WFE model) are population, water, agriculture, and energy modules. The model, which was developed using system dynamics (SD) approach, was utilized to simulate effectiveness of sectoral municipal, industrial, and agricultural…
Fate of persistent and mobile chemicals in the water cycle: From municipal wastewater discharges to river bank filtrate
Authors: Matthias Muschket, Isabelle Neuwald, Daniel Zahn, Alina H. Seelig, Jochen Kuckelkorn, Thomas P. Knepper et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.122436 · Citations: 20
Matched topics: river, surface water
(M), showed little power to discriminate between chemicals well removed in RBF and those that were hardly removed. This comprehensive field study shows that RBF is a useful but incomplete barrier to retain PM chemicals from surface water. Thus, PM chemicals are, indeed, a challenge for a sustainable water supply.
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 11 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.
Energy efficiency in electrocoagulation processes for sustainable water and wastewater treatment
Authors: Putu Teta Prihartini Aryanti, Febrianto Adi Nugroho, Chantaraporn Phalakornkule, Abudukeremu Kadier
Journal: Journal of environmental chemical engineering · DOI: 10.1016/j.jece.2024.114124 · Citations: 66
Matched topics: water management
Abstract not available.
Quantifying the changes in solute transport caused by human influence on river connectivity in inland river basins
Authors: Wenhao Zhang, Guofeng Zhu, Ling Zhao, Lei Wang, Dongdong Qiu, Linlin Ye et al.
Journal: CATENA · DOI: 10.1016/j.catena.2024.108360 · Citations: 38
Matched topics: river, runoff, surface water
Abstract not available.
In situ formation of biomolecular condensates as intracellular drug reservoirs for augmenting chemotherapy
Authors: Tingxizi Liang, Yuxiang Dong, Irina Cheng, Ping Wen, Fengqin Li, Feng Liu et al.
Journal: Nature Biomedical Engineering · DOI: 10.1038/s41551-024-01254-y · Citations: 47
Matched topics: reservoir
Abstract not available.
Preparation and properties of sustainable superhydrophobic cotton fabrics modified with lignin nanoparticles, tannic acid and methyltrimethoxysilane
Authors: Xinkang Sha, Langqian Chen, Ying Jia, Hanyu Zhao, Shuai Zuo, Pengfei Yuan et al.
Journal: Chemical Engineering Journal · DOI: 10.1016/j.cej.2024.155797 · Citations: 37
Matched topics: water management, surface water
Abstract not available.
Cyclic Gas Injection in Low-Permeability Oil Reservoirs: Progress in Modeling and Experiments
Authors: Hamid Emami‐Meybodi, Ming Ma, Fengyuan Zhang, Zhenhua Rui, Amirsaman Rezaeyan, Amin Ghanizadeh et al.
Journal: SPE Journal · DOI: 10.2118/223116-pa · Citations: 41
Matched topics: reservoir
Summary Cyclic gas injection effectively enhances oil recovery for low-permeability oil reservoirs. Numerous theoretical, mathematical, and laboratory investigations have attempted to unlock underlying recovery mechanisms and optimal design for the cyclic gas injection in these reservoirs. While these investigations have shed light on various aspects of the process, different descriptions of key recovery mechanisms and optimal design parameters can be found in the literature. Many of these pu…
Coupling SWAT and LSTM for Improving Daily Streamflow Simulation in a Humid and Semi-humid River Basin
Authors: Ziyi Mei, Peng Tao, Lü Chen, Vijay P. Singh, Bin Yi, Zhiyuan Leng et al.
Journal: Water Resources Management · DOI: 10.1007/s11269-024-03975-w · Citations: 23
Matched topics: hydrologic model, river, streamflow, water management
Abstract not available.
Advancing forest hydrological research: exploring global research trends and future directions through scientometric analysis
Authors: Tanzeel Javaid Aini Farooqi, Rubén Portela, Xu Zhou, Shulin Pan, Muhammad Irfan, Arshad Ali
Journal: Journal of Forestry Research · DOI: 10.1007/s11676-024-01771-1 · Citations: 17
Matched topics: hydrology, hydrologic model, runoff, streamflow, water management
Abstract Forest hydrology, the study of water dynamics within forested catchments, is crucial for understanding the intricate relationship between forest cover and water balances across different scales, from ecosystems to landscapes, or from catchment watersheds. The intensified global changes in climate, land use and cover, and pollution that occurred over the past century have brought about adverse impacts on forests and their services in water regulation, signifying the importance of fore…
Cost‐Effective and Fully Hardware‐Oriented Reservoir Computing Based on IGZO/HZO Ferroelectric Thin‐Film Transistor with Electrically and Optically Distinguishable States
Authors: Doohyung Kim, Seungjun Lee, Yoon‐Seok Lee, Yongjin Park, Jung Woo Lee, Sungjun Kim
Journal: Advanced Functional Materials · DOI: 10.1002/adfm.202409095 · Citations: 36
Matched topics: reservoir
Abstract Hardware‐based reservoir computing (RC) systems provide benefits like energy efficiency and effective predictability. The implementation of different switching characteristics for the reservoir and readout layers requires the use of different types of devices or additional processing. However, an RC system with distinguishable switching characteristics obtained by changing stimulation on a single device is not identified yet, but it is appealing in terms of process simplicity and eff…
Trajectory of antibiotic resistome response to antibiotics gradients: A comparative study from pharmaceutical and associated wastewater treatment plants to receiving river
Authors: Na Wang, Shuchang Li, Mali Shi, Ni Ni, Xiaohui Zhang, Xinyan Guo et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.122444 · Citations: 29
Matched topics: river
Abstract not available.
The impact of emissions controls on atmospheric nitrogen inputs to Chinese river basins highlights the urgency of ammonia abatement
Authors: Sijie Feng, Mengru Wang, Mathew R. Heal, Xuejun Liu, Xueyan Liu, Yuanhong Zhao et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adp2558 · Citations: 22
Matched topics: river, hydropower
Excessive nitrogen (N) deposition affects aquatic ecosystems worldwide, but effectiveness of emissions controls and their impact on water pollution remains uncertain. In this modeling study, we assess historical and future N deposition trends in Chinese river basins and their contributions to water pollution via direct and indirect N deposition (the latter referring to transport of N to water from N deposited on land). The control of acid gas emissions (i.e., nitrogen oxides and sulfur dioxid…
Deciphering the molecular composition and sources of dissolved organic matter in urban rivers based on optical spectroscopy and FT-ICR-MS analyses
Authors: Yi Ren, Shasha Liu, Leizhen Liu, Chengyu Suo, Rui Fu, Yuxin Zhang et al.
Journal: Carbon Research · DOI: 10.1007/s44246-024-00151-y · Citations: 20
Matched topics: river, water management
Abstract The components and sources of dissolved organic matter (DOM) in urban water bodies are extremely complicated due to multiple environmental and anthropogenic factors. The comprehensive analysis of the DOM molecular composition is crucial for deep understanding their reactivities, environmental behaviors, and fates in aquatic ecosystems, thereby improving our ability to monitor and protect aquatic systems. In this study, ultraviolet–visible spectroscopy (UV–Vis) and excitation-emission…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 950 |
| After deduplication | 690 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 640 |
Papers by journal
| Journal | Papers |
|---|---|
| Hydrology and earth system sciences | 2 |
| Water Resources Management | 2 |
| Journal of Hydrology | 2 |
| Chemical Engineering Journal | 2 |
| Water Research | 2 |
| Socio-Environmental Systems Modeling | 1 |
| Discover Sustainability | 1 |
| Nature Water | 1 |
| Water Conservation Science and Engineering | 1 |
| Computers and Electronics in Agriculture | 1 |
| Journal of environmental chemical engineering | 1 |
| Applied Surface Science | 1 |
| Journal of Hydrologic Engineering | 1 |
| CATENA | 1 |
| Nature Biomedical Engineering | 1 |
| Scientific Reports | 1 |
| International Journal of Environment and Geoinformatics | 1 |
| Hydrology and Earth System Sciences | 1 |
| Frontiers in Environmental Science | 1 |
| Renewable and Sustainable Energy Reviews | 1 |
| SPE Journal | 1 |
| Environmental Modelling & Software | 1 |
| Journal of Forestry Research | 1 |
| Advanced Functional Materials | 1 |
| Environmental Sciences Europe | 1 |
| Scientia Horticulturae | 1 |
| Discover Water | 1 |
| Geography and sustainability | 1 |
| 1 | |
| Nature Communications | 1 |
| ACS Applied Nano Materials | 1 |
| Energy Conversion and Management | 1 |
| Groundwater for Sustainable Development | 1 |
| Agriculture | 1 |
| Science Advances | 1 |
| Land | 1 |
| Agricultural Water Management | 1 |
| Applied Water Science | 1 |
| Utilities Policy | 1 |
| Desalination | 1 |
| Journal of Hydroinformatics | 1 |
| Geology | 1 |
| International Journal of Electrical Power & Energy Systems | 1 |
| Nature Geoscience | 1 |
| Carbon Research | 1 |
Filtering Criteria
Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model
Databases: Semantic Scholar, OpenAlex