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How different spatial resolutions of digital models affects the geospatial distribution evaluation of the Index of Connectivity

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Journal of South American Earth Sciences 2025年 163卷

作者： Eberval Marchioro Geraldo André Rosseto Barreto Ialy Gomes Ferreira Adelsom Soares Filho Diogo Costa Buarque Department of Geography (DGEO) Graduate Program in Geography (PPGG) Federal University of Espírito Santo/Brazil (UFES) Coordinator of the Laboratory for Monitoring and Modeling Environmental Systems (Lamosa) Brazil Graduate Program in Management and Regulation of Water Resources (ProfÁgua/UFES) Brazil Graduate Program in Geography at UFES Brazil Graduate Program in Civil Engineering at UFV Brazil Department of Geography Graduate Program in Geography Federal University of Grande Dourados (UFGD) Brazil Department of Environmental Engineering Graduate Program in Environmental Engineering (PPGEA) Professional Master's in Water Resources Management and Regulation (ProfÁgua/UFES) Federal University of Espírito Santo/Brazil (UFES) Brazil

Digital Terrain Models (DTM) and Digital Elevation Models (DEM) are important for obtaining the Index of Connectivity, as they provide valuable information to assess the possibility of sediments reaching the riverbed in watershed basins. This is crucial for proactive management, as it allows the adoption of preventive and mitigating measures. Therefore, this study aims to analyze the effect of the spatial resolution of DEMs with resolutions of 5 m and 2 m, and between the DTM and DEM at 2 m, in determining the Index of Connectivity (IC). Additionally, it was investigated whether it is possible to use only one spatial resolution of digital models to assess the geospatial distribution of IC for all hydrogeomorphological landscapes of the Duas Bocas River watershed, located in the Metropolitan Region of Greater Vitória, in the state of Espírito Santo, Southeast Brazil. For this study, the Borselli Index of Connectivity model (et al., 2008) was used, originally developed for rural areas of Italy and widely applied in different regions worldwide. The data used, including Digital Elevation and Terrain Models and land use and cover information, were obtained from the Integrated Geospatial Base System of the State of Espírito Santo (Brazil), which is publicly *** results indicate that a better geospatial representation of IC occurs when changing the spatial resolution of DEMs from a 5 m pixel to a 2 m pixel and when using the 2 m DTM instead of the 2 m DEM. When analyzing the relationship between IC and the hydrogeomorphological landscapes in the basin, it was observed that, in the absence of models with an even finer pixel resolution, the 2 m DTM is the most suitable option, as it presented IC values consistent within and between landscapes in the Escalated Terraces of Southern Espírito Santo, Coastal Hills and Massifs, and Coastal Plateaus sectors. The exception was the fluvio-lagoon plain, which requires an even finer pixel resolution, necessitating further st

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Evolutionary Algorithms for Optimal Operation of Gas Networks

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SSRN 2023年

作者： Lence, Barbara J. Moosavian, Naser Lee, Andy J. Rivera, Daniela D. University of British Columbia Department of Civil Engineering 6250 Applied Science Lane VancouverBCV2T 1Z4 Canada Department of Civil Engineering Integrated Water Management University of British Columbia 6250 Applied Science Lane VancouverBCV2T 1Z4 Canada Metro Vancouver Metrotower III 4515 Central Boulevard BurnabyBCV5R 6G4 Canada Integrated Water Management Program University of British Columbia 6250 Applied Science Lane VancouverBCV2T 1Z4 Canada

This study presents an analysis of the use of Evolutionary Algorithms for determining the optimal operating strategy of gas transmission networks that minimize the total operating cost of the gas network and identify the optimal demand and supply flows. In comparison with water distribution networks, gas transmission networks, are complex due to their use of compressor equipment and the large lengths and diameters of their pipelines. The optimal operations model minimizes the gas purchase cost, while satisfying all system demands and other operating constraints in a network. The constraints of the gas network are flow continuity at nodes and energy relationships in pipelines, along with constraints associated with the contracted gas flow rate and pressure requirements at each node, and the power limits and flow requirements of *** heuristic algorithms, namely the Genetic Algorithm (GA), Differential Evolution Algorithm (DE), Artificial Bee Colony Algorithm (ABC), and Covariance Matrix Adaptation Evolution Strategy (CMA-ES), are applied to optimize the Belgium Gas Transmission Network. These are compared in terms of their computational burden, and the quality of the obtained solutions with respect to practical management concerns. Among the four algorithms, CMA-ES is found to be most efficient at achieving the global optimum, consistently meeting pressure and flow requirements, while conserving compressor power. © 2023, The Authors. All rights reserved.

关键词： Cost benefit analysis

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Reconstructing Suspended Sediment Concentrations in the Mekong River Basin Via Semi-Supervised-Based Deep Neural Networks

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SSRN 2024年

作者： Nguyen, Thi-Thu-Ha Vu, Duc Quang Doan, Ngoc Phu Thi Khanh Chi, Huynh Li, Peixin Van Binh, Doan An, Yimeng Tuan Dung, Pham Hoang, Tuan A. Thai Son, Mai Laboratory of Environmental Sciences and Climate Change Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City70000 Viet Nam Faculty of Environment School of Technology Van Lang University Ho Chi Minh City70000 Viet Nam Department of Computer Science and Information System Thai Nguyen University of Education Viet Nam School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom College of Economics and Management Nanjing University of Aeronautics and Astronautics China Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town820000 Viet Nam

The Mekong River Basin (MRB) is one of the highest biodiversity areas in the world and is the vital source of livelihoods for more than 60 millions of people over six countries in Southeast Asia. However, it is suffering from a severe sediment starvation problem caused by climate change and human activities, particularly dam constructions. Understanding long-term sediment changes thus plays a crucial role for management and contingency plans. Current sediment concentration data in the MRB are extremely sporadic, making it a non-trivial task to analyze them. This paper focuses on the sediment reconstruction to provide long-term reliable suspended sediment concentration (SSC) data using Machine Learning (ML) perspectives. In particular, a novel semi-supervised ML model, which can effectively deal with data sparsity, is introduced to predict/reconstruct missing sediment data. The key idea of this approach is to exploit abundant available hydroclimate data to reduce training overfitting rather than solely relying on sediment concentration data, thus enhancing the accuracy of the employed ML models. Extensive experiments on data obtained from 1979 to 2019 at the three main stations (i.e., Chiang Saen, Nong Khai, and Mukdahan) are conducted to demonstrate the performances of the proposed method compared to other state-of-the-art supervised techniques and traditional simulation methods commonly used in previous sediment forecasting/reconstruction studies. To the best of our knowledge, this approach is the first semi-supervised method to reconstruct sediment data in the field. Though this study focuses on the MRB, sediment sparsity is a very common problem in other river systems worldwide. Thus, this method can be widely applied for them for more effective sediment reconstruction/prediction in general. © 2024, The Authors. All rights reserved.

关键词： Biodiversity

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Communicating Science Through Press Releases to News Media: The Case Study of What Is Controlling the Fabled water Clarity of Lake Tahoe

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Limnology and Oceanography Bulletin 2024年第2期33卷 73-76页

作者： Chandra, Sudeep Paerl, Hans W. Melack, John Lovejoy, Connie Priscu, John C. Bess, Zach Coil, John Goldman, Charles R. Brett, Michael T. Suenaga, Erin Nava, Veronica Global Water Center University of Nevada Reno NV United States Institute of Marine Sciences University of North Carolina at Chapel Hill Morehead City NC United States Bren School of Environmental Science and Management University of California Santa Barbara Santa Barbara CA United States Département de Biologie Québec Océan Université Laval Québec QC Canada Montana State University Bozeman MT United States Ecology Evolution and Conservation Biology Graduate Program University of Nevada Reno NV United States JC Oil Environmental Consulting Davis CA United States Tahoe Research Group University of California Davis Emeritus Davis CA United States Department of Civil and Environmental Engineering University of Washington Seattle WA United States Department of Earth and Environmental Sciences University of Milano-Bicocca MI Milano Italy

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The influence of preparation and pretreatment on the physicochemical properties and performance of plant-based biocoagulants in treating wastewater

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Environmental Advances 2023年 14卷

作者： Kurniawan, Setyo Budi Ahmad, Azmi Said, Nor Sakinah Mohd Gustinasari, Kiki Abdullah, Siti Rozaimah Sheikh Imron, Muhammad Fauzul Laboratory of Algal Biotechnology Centre Algatech Institute of Microbiology of the Czech Academy of Sciences Opatovický mlýn Novohradská 237 Třeboň 379 81 Czech Republic Department of Petrochemical Engineering Politeknik Tun Syed Nasir Syed Ismail Johor Pagoh 84600 Malaysia Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia (UKM) Selangor Bangi 43600 Malaysia Study Program of Environmental Engineering Department of Biosystem Engineering Faculty of Agricultural Engineering Universitas Brawijaya Malang 65145 Indonesia Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Kampus C UNAIR Jalan Mulyorejo Surabaya 60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft 2628 Netherlands

Biocoagulants have gained attention as an alternative to chemical coagulants in water and wastewater treatment due to their ability to remove pollutant parameters such as turbidity, suspended solids, color, and organic compounds. Plant-based biocoagulants are currently the most promising due to their abundant availability and reliable performance. A proper preparation of plant-based biocoagulants is required to ensure the active compounds from the plants can be extracted. Plant raw materials are prepared into biocoagulants using drying and grinding, extraction, and purification. In mechanical preparation, drying and grinding exhibit great influence on the performance of plant-based biocoagulants due to the removal of moisture and higher contact with the carrier medium during dissolution. A smaller biocoagulant's size resulted in up to 78 % higher removal of turbidity. In chemical preparation, the oil needs to be removed before extracting the active ingredients to avoid low active compound extraction yields. The defatting of Moringa oleifera seeds showed an 18 % higher protein content. Salt and alcohol extractions were mentioned as superior extraction methods to obtain carbohydrate and protein from plant-based biocoagulants compared to water extraction, with up to a 5 % increment in turbidity removal. Preparation and pretreatment protocols have a great influence on the properties and performance of plant-based biocoagulants. Further extension of research on plant-based biocoagulants should address the problems in the initial characterization of plant material, standard pretreatment and preparation protocols, and real-scale application of plant-based biocoagulants. © 2023 The Author(s)

关键词： Biocoagulant Coagulant Environmental pollution Extraction Properties Synthesis

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First-Attempt Application of Sponge Membrane Bioreactor Treating 3,4-Dichlorophenol Contaminated Wastewater at Different Hydraulic Retention Times

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SSRN 2024年

作者： Nhu Nguyet, Phan Nguyen, Thi-Kim-Ngan Thuan, Ngo Thi Yen, Duong Hoang Vo, Thi-Kim-Quyen Nguyen, Thi-Yen-Phuong Bui, Xuan-Thanh Watari, Takahiro Yamaguchi, Takashi Hatamoto, Masashi Faculty of Environment University of Science Ho Chi Minh City Viet Nam Ho Chi Minh City Viet Nam Ho Chi Minh City Viet Nam School of Chemical and Environmental Engineering International University Ho Chi Minh City Viet Nam Master Program in Water Technology Reuse and Management Vietnamese German University Binh Duong Province Viet Nam Ho Chi Minh City Viet Nam Department of Civil and Environmental Engineering Nagaoka University of Technology Niigata Japan Department of Science of Technology Innovation Nagaoka University of Technology Niigata Japan

Chlorophenols (CPs) are priority pollutants which persist in the environment for up to 28 years. The release of Chlorophenol derivatives into aquatic environments poses serious risks to living beings because of their mutagenic, carcinogenic, genotoxic, and teratogenic effects. This study highlights the first application of a Sponge Membrane Bioreactor (Sponge-MBR) for treating 3,4-Dichlorophenol (3,4-DCP)-contaminated wastewater. Herein, a lab-scale Sponge-MBR was conducted to treat 3,4-DCP-contaminated wastewater at various hydraulic retention times (HRTs) ranging from 5 to 15 h in terms of organic matter and 3,4-DCP removal, and microbial community shifts. The sludge characteristics were also performed. Results showed that a rise in HRT at 5, 10 and 15 h increased the removal efficiencies of COD (84 – 94%) and 3,4-DCP (90 – 96%). Under 30-day operation period at optimal HRT (15 h), corresponding to OLR of 2.84 ± 0.18 kg COD·m-3·day-1, the removal efficiencies of both 3,4-DCP and COD were 96% with the average removal rate of 356 ± 83 mg COD·g-SS-1·day-1 and 1.62 ± 0.38 mg 3,4-DCP·g-SS-1·day -1. The attached biomass in sponge media was recorded higher than suspended biomass and contributed 49 – 66% of the total biomass, indicating that the microbial community shifts could degrade organic matter and remove 3,4-DCP. Proteobacteria dominated the microbial community because of their adaptability to environmental changes. The findings derived from this study provide useful perspectives on the application of Sponge-MBR treating 3,4-DCP-contaminated wastewater and offer Sponge-MBR as a potential alternative for treating wastewater contaminated with toxic chemicals. © 2024, The Authors. All rights reserved.

关键词： Biomass

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Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane

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Discover Geoscience 2024年第1期2卷 1-32页

作者： Pandey, Manish Costache, Romulus Dash, Pratik Geesupalli, Purna Durga Siddiqui, Masood A. Pandey, Prem Chandra Santosh, M. Bateni, Sayed M. Arora, Aman Marwadi University Research Centre Marwadi University Rajkot India Research Institute of the University of Bucharest Bucharest Romania National Institute of Hydrology and Water Management Bucharest Romania Danube Delta National Institute for Research and Development Tulcea Romania Department of Civil Engineering Transilvania University of Brasov Brasov Romania Department of Geography Khejuri College (Affiliated to Vidyasagar University) Medinipur India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai India Department of Geography Faculty of Natural Sciences Jamia Millia Islamia New Delhi India Department of Life Sciences School of Natural Sciences Shiv Nadar Institution of Eminence Greater Noida India School of Earth Sciences and Resources China University of Geosciences Beijing Beijing China Department of Earth Science University of Adelaide Adelaide Australia Department of Civil Environmental and Construction Engineering and Water Resources Research Center University of Hawaii at Manoa Honolulu USA Université Gustave Eiffel GERS-LEE Bouguenais France

Among various natural hazards, those induced by hydrological and meteorological factors have emerged as the most frequent and damaging. India is at the second from the top, after Bangladesh, of flood hazard-affected countries of the world, causing immense damage to life and property every year. The Middle Ganga Plain in the country is one of the most severely affected regions due to the convergence of Himalayan rivers in the Ganga (Ganges) plain. This study focuses on optimizing novel ensemble models to enhance the mapping of flood hazard susceptibility in specific topoclimatic setting, characterized by a low-altitude-range, sub-tropical monsoonal climate, and a riverine floodplain environment of the tectonically active Middle Ganga Plain. This region forms part of the Ganga Foreland Basin prone to frequent floods. We employ a comprehensive flood inventory and twelve selected flood conditioning factors and is the first study that has developed these ensemble models in low relief riverine floodplain environmental setting with high resolution geomorphology as one of the conditioning factors. Four artificial intelligence ensemble models were employed in this work: Logistic Regression-Evidential Belief Function (LR-EBF), Logistic Regression-Frequency Ratio (LR-FR), Multi-Layer Perceptron-Evidential Belief Function (MLP-EBF), and Multi-Layer Perceptron-Frequency Ratio (MLP-FR). Results showed that LR-based ensembles outperformed MLP-based ensembles in the studied topoclimatic setting, with LR-EBF model achieving 87.2% and 84.7% success and prediction rates respectively. Our results reveal consistent performance differences between LR-based ensembles with FR and EBF models across different environmental settings. MLP-based ensembles, particularly with Frequency Ratio, displayed more significant performance variations. The findings underscore the importance of considering specific topoclimatic and altitudinal range environments when applying flood hazard susceptibility mod

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Tracing crop water demand in the lower ping River Basin, Thailand using cloud-based irrisat application 22

Tracing crop water demand in the lower ping River Basin, Tha...

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22nd Congress of the International Association for Hydro-Environment engineering and Research-Asia Pacific Division: Creating Resilience to water-Related Challenges, IAHR-APD 2020

作者： Kyaw, Khin Muyar Rittima, Areeya Phankamolsil, Yutthana Tabucanon, Allan Sriratana Sawangphol, Wudhichart Kraisangka, Jidapa Talaluxmana, Yutthana Vudhivanich, Varawoot Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom Thailand Environmental Engineering and Disaster Management Program Diversion of Engineering Mahidol University Kanchanaburi Thailand Faculty of Environment and Resource Studies Mahidol University Thailand Faculty of Information and Communication Technology Mahidol University Department of Water Resources Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Department of Irrigation Engineering Faculty of Engineering at Kamphaengsaen Kasetsart University Nakhon Pathom Thailand

Estimating and tracing actual crop water demands during the growing season are necessarily essential as it can be the basic and useful information for achievement of irrigation water management and reservoir operation practices. The crop water demand (ETcrop) is commonly determined by multiplying the crop coefficient (Kc) and reference crop evapotranspiration (ETo) calculating from meteorological data at the nearby stations. In this study, the planting area and growth stage of crops in the Tortongdang, Wangbua, Wangyang and Nongkhwan Operation and Maintenance Projects, which are located in the Lower Ping River Basin, were tracked and crop coefficient was evaluated using weather based irrigation scheduling (IrriSAT) application for estimation of crop water requirement. IrriSAT provides the satellite images processing of Normalized Difference Vegetation Index (NDVI) of planting area of crop and uses empirical relationship to find Kc. Kc values of season and off-season crops planting in four irrigation area during 2000-2019 were traced by IrriSAT and the results were compared with average Kc-RID values which were calculated as a function of Kc from field observation for the different types of crop and accumulated area of crops monitored by the remote sensing. The results showed the similar patterns of average Kc over the growth stages of crops. However, the Kc values calculated by IrriSAT for four irrigation area were slightly deviated from Kc-RID values in some growing periods. Therefore, calibrating Kc values calculated by IrriSAT was then conducted in this study to estimate actual crop water use and benchmark with the filed observation data. This study also revealed that applying cloud-based IrriSAT could be greatly supportive for irrigators and reservoir operators to enhance the efficiency of irrigation water management. © 2020 22nd Congress of the International Association for Hydro-Environment engineering and Research-Asia Pacific Division, IAHR-APD 2020: "Creati

关键词： Evapotranspiration

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water management and conductivity studies in novel polymer zirconium-based membranes for PEM fuel cells

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Case Studies in Chemical and Environmental engineering 2025年 11.0卷

作者： Ahmed, Tallah Magdi Al Othman, Amani Shamayleh, Abdulrahim Tawalbeh, Muhammad Engineering Systems Management Graduate Program American University of Sharjah PO. Box 26666 Sharjah United Arab Emirates Department of Chemical and Biological Engineering American University of Sharjah PO. Box 26666 Sharjah United Arab Emirates Energy Water and Sustainable Environment Research Center American University of Sharjah PO. Box 26666 Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah PO. Box 26666 Sharjah United Arab Emirates Sustainable and Renewable Energy Engineering Department University of Sharjah PO. Box 27272 Sharjah United Arab Emirates Sustainable Energy & Power Systems Research Centre RISE University of Sharjah P.O. Box 27272 Sharjah United Arab Emirates

Proton exchange membrane fuel cells (PEMFCs) are among the promising alternatives for clean energy generation, especially when hydrogen is the fuel used. Their operation is still faced with several challenges, and one of them is water accumulation in the cathode compartment. If PEMFCs are operated at temperatures above the boiling point of water, a significant obstacle would be eliminated due to the formation of water in the vapor phase. This prevents water from accumulating in the liquid phase which causes flooding. Therefore, this work aims to develop a novel composite membrane based on zirconium silicate (ZrSiO₄) and Polyvinylidene fluoride (PVDF) for such high-temperature operation. The composite membrane was synthesized using solution casting, and its structural and chemical properties were characterized using thermogravimetric analysis (TGA), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM) techniques. The ZrSiO₄/PVDF membrane demonstrated a maximum proton conductivity of 2.14 × 10⁻³ S/cm at room temperature with 8 wt% ZrSiO₄, along with a water uptake value of 43.85 %. Consequently, when tested above the boiling point of water, the membrane exhibited a high conductivity of 2.13 × 10⁻³ S/cm at 105 °C. The results suggest the suitability of such zirconium silicate-based composite membranes for fuel cell applications operating above the boiling point of water. © 2024 The Author(s)

关键词： Composite membranes PEM fuel cells Proton conduction PVDF water management Zirconium silicate

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Enhancing Dye Wastewater Treatment Efficiency In Ozonation Membrane Contactors by Chloro- and Fluoro-Organosilanes’ Functionality on Hydrophobic Pvdf Membrane Modification

SSRN

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SSRN 2022年

作者： Le, Thi My Hanh Nuisin, Roongkan Mongkolnavin, Rattachat Painmanakul, Pisut Sairiam, Sermpong International Postgraduate Program in Hazardous Substance and Environmental Management Chulalongkorn University Bangkok10330 Thailand Center of Excellence for Environmental and Hazardous Waste Management Chulalongkorn University Bangkok10330 Thailand Water Science and Technology for Sustainable Environment Research Group Chulalongkorn University Bangkok10330 Thailand Department of Environmental Science Faculty of Science Chulalongkorn University Bangkok10330 Thailand Department of Physics Faculty of Science Chulalongkorn University Bangkok10330 Thailand Department of Environmental Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Bangkok10330 Thailand Research Unit on Technology for Oil Spill and Contamination Management Chulalongkorn University Bangkok10330 Thailand

This work investigated the decolorization of dye wastewater using an ozonation membrane contactor. The hydrophobicity of a PVDF membrane was developed by applying novel plasma activation followed by grafting with methyltrichloroalkylsilane (PVDF–MTCS) and 1H, 1H, 2H, 2H–perfluorodecyltriethoxysilane (PVDF–FAS–C8) at different grafting times and grafting agent concentrations. After hydrophobic membrane modifications, the ozonation membrane performances were improved. The ozone flux of PVDF–FAS–C8 was higher and more stable, maintaining 88% of the initial flux after 20 h, compared to 79% and 53% for the PVDF-MTCS and original membranes, respectively. After 90 mins, COD removals of Direct Blue 71 (DB 71) and Reactive Red 239 (RR 239) by the ozonation membrane contactor using PVDF–FAS–C8 were 62.5% and 67.5%, and TOC removals were 20% and 23%, respectively, with almost complete decolorization. The releases of sulfate and nitrate ions confirmed the dye mineralization. By applying a PVDF –FAS-C8 membrane, energy consumption was 33.2% lower than when using the original membrane. The findings exhibited that the performance of ozonation membrane contactor improved was due to the role of the functionality on modified PVDF membranes. The PVDF-MTCS membrane had a higher silicon composition and better surface roughness than the PVDF-FAS-C8 membrane. The water contact angle (WCA) of the PVDF-MTCS membrane was higher than that of the PVDF-FAS-C8 membrane, increasing from 74.7 o (original) to 126.0 o and 112.7 o , respectively, after 6 h of grafting, leading to reduced membrane wetting. © 2022, The Authors. All rights reserved.

关键词： Membranes

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