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River 2024年第1期3卷 8-23页

作者： Gerald Augusto Corzo Perez Diego Ivan Sanchez Tapiero Manuel Antonio Contreras Martínez Chris Zevenbergen IHE Delft Institute for Water Education Hydroinformatics and Digital InnovationDelftThe Netherlands Master in Environmental Engineering Civil Engineering ProgramFaculty of Engineering and ArchitectureUniversity of PamplonaPamplonaColombia Faculty of Civil Engineering and Geosciences Delft University of TechnologyDelftThe Netherlands

The rapid growth of impervious areas in urban basins worldwide has increased the number of impermeable surfaces in cities,leading to severe flooding and significant economic losses for *** trend highlights the urgent need for methodologies that assess flood hazards and specifically address the direct impact on pedestrians,which is often overlooked in traditional flood hazard *** study aims to evaluate a methodology for assessing the risk to pedestrians from hydrodynamic forces during urban floods,with a specific focus on Cúcuta,*** methodology couples research outcomes from other studies on the impact of floodwaters on individuals of different ages and sizes with 1D/2D hydrological *** computational algorithms for image recognition were used to measure water levels at 5-s intervals on November 6,2020,using drones for digital elevation model data *** Cúcuta,where flood risk is high and drainage infrastructure is limited,the PCSWMM(Computer-based Urban Stormwater Management Model)was calibrated and validated to simulate extreme flood *** model incorporated urban infrastructure details and geomorphological parameters of Cúcuta's urban *** return periods(5,10,50,100),with extreme rainfall of 3 h,were used to estimate the variability of the risk *** output of the model was analyzed,and an integrated and time-varying comparison of the results was *** show that the regions of high-water depth and high velocity could vary significantly along the duration of the different extreme ***,from 5 to 100 years return period,the percentage of area at risk increased from 9.6%to 16.6%.The pedestrian sensitivity appears much higher than the increase in velocities or water depth *** study identified medium to high-risk locations,which are dynamic in *** can conclude dynamics are spatiotemporal,and the added information layer of pedestrians brings vulnerability information that is a

关键词： hazard and risk mapping pedestrian risk urban flood

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Identification of Extreme Precipitation Changes Due to Climate Change in Indonesia 3rd

Identification of Extreme Precipitation Changes Due to Clima...

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3rd International Conference on Radioscience, Equatorial Atmospheric Science and Environment, INCREASE 2023

作者： Aminah, Siti Riawan, Edi Syahputra, Muhammad Ridho Kuntoro, Arno Adi Master Program in Water Resource Management Faculty of Civil and Environmental Engineering Bandung Institute of Technology Bandung Indonesia Atmospheric Sciences Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung Indonesia Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9789819707393

This study uses Global Precipitation Measurement (GPM) and Coupled Model Intercomparison Project Phase 6 (CMIP6) precipitation data to identify extreme precipitation intensity and frequency changes in Indonesia. Extreme precipitation calculations were performed using the Gumbel distribution and return period fitted to annual maxima data. Extreme precipitation and frequency of extreme events were compared between the historical period and the near-future period (2026–2055) and the far-future period (2070–2099) to identify changes. The results showed that there were changes in extreme precipitation in Indonesia both in intensity and frequency of occurrence. Extreme precipitation with a 5-year return period in Indonesia generally has a change value in the range of − 5 to + 25% with most areas likely to increase. The increased value reaches + 20% in the near-future period and + 40% in the far-future period. For the frequency of extreme precipitation above the 5-year return period in Indonesia, the change value is generally in the range of − 40 to + 120% with most areas likely to increase. The increased value reaches + 160% in the near-future period and + 200% in the far-future period. In the higher emission scenario (SSP5-8.5), the areas with higher values of increase will expand both in the change in intensity and frequency of occurrence. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Climate change

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Quantifying the impacts of hydraulic infrastructure on tropical streamflows

Quantifying the impacts of hydraulic infrastructure on tropi...

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作者： Nguyen, Binh Quang Kantoush, Sameh A. Saber, Mohamed Binh, Doan Van Vo, Ngoc Duong Sumi, Tetsuya Kyoto University Kyoto Japan The University of Danang – University of Science and Technology Danang Viet Nam Master Program of Water Technology Reuse and Management Faculty of Engineering Vietnamese German University Binh Duong Viet Nam

Hydraulic infrastructures, such as reservoirs and water diversion channels, cause altered streamflow worldwide. Therefore, this study aimed to assess the coupled impacts of reservoir operations and water transfer on downstream streamflow over 42 years (1979–2020) for a tropical river in Vietnam, the Vu Gia Thu Bon (VGTB). We also quantified variations in the multi-sub-basin contributions to the water budget associated with hydraulic structure development. Therefore, a semi-distributed hydrological model, SWAT (Soil and water Assessment Tool), was developed for the entire VGTB basin considering two plausible scenarios: with a dam and without a dam. In this study, reservoirs substantially affected the streamflow during the 2011–2020 period when 12 cascading hydropower dams were constructed in the Vu Gia sub-basins. The cascading reservoirs across the Vu Gia River reduced the annual average streamflow by 28.1% during this period, whereas their influence was augmented by 13.9% at reaches further downstream. In contrast, the local reservoir and flow diversions created on the Thu Bon River resulted in a 6.5% increase in streamflow. The upstream reservoir operation significantly increased streamflow at the midstream stations by 27.8% compared to the no-dam period. The streamflow decreased in the dry season by 5.6% in the Vu Gia sub-basins and increased by 61.7% in the Thu Bon sub-basins. However, the impacts decreased in the wet season by 41.3% due to the operation of reservoirs, in which Dak Mi 4 had the most significant influence. It was found that the water diverted to the Thu Bon River was governed and reduced by the cascading hydropower dams. Therefore, the operation of 11 reservoirs has partially compensated for the lost water in the Vu Gia sub-basins, to which the Dak Mi 4 plant has transferred 19.7 m3/s (14%). Our findings classify the impact of cascading dams and diversion structures and their interaction with climate change. © 2023 John Wiley & Sons Ltd.

关键词： SWAT

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Flood modeling in the Ba River basin using a coupled hydrodynamic model—MIKE FLOOD

River

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River 2024年第2期3卷 199-207页

作者： Luc Anh Tuan Can Thu Van Doan Van Binh Sameh AKantoush Tetsuya Sumi Le Van Quyen Ta Thi Huong Master Program in Water Technology Reuse&Management(with TU DarmstadtGermany)Faculty of EngineeringVietnamese–German UniversityBen Cat TownVietnam Ho Chi Minh City University of Natural Resources and Environment Ho Chi Minh CityVietnam Water Resources Research Center Disaster Prevention Research InstituteKyoto UniversityKyotoJapan VNU School of Interdisciplinary Study and Arts Cau GiayVietnam

The problem of flooding in Central Vietnam in general and the lower Ba River in particular is one of the natural disasters that frequently threatens people's lives and socioeconomic development in the ***,climate change is becoming ever more prominent and hotter,making extreme natural disasters more unusual and *** this research,MIKE-FLOOD—a model that connects a 1-dimensional(1-D)MIKE 11 Hydrodynamics(HD)model with a 2-dimensional(2-D)MIKE 21 HD model—was used to set *** model was calculated for three floods:(1)flood in October 1993,(2)flood in November 2003,and(3)flood in November 2007;these are floods with high frequency and relatively large *** results show that the 1993 flood rose and receded *** flood peak inundated an area of 22,600 ha,accounting for 52%of the natural *** flooded areas deeper than 1,2,3,4,and 5m were 16500,11,000,7000,4200,and 2200 ha,*** the center of Tuy Hoa city,the flooded area at the time of maximum water level was almost 100%.

关键词： Ba River basin coupled hydrodynamic model flooding MikeFlood model

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Assessment of Oxygen Demand Loads and its Application in Effective Decision-Making for the Rehabilitation of an Urban Lake

SSRN

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SSRN 2024年

作者： Cruz-Vivar, Nadia Viridiana Hansen, Anne M. Master’s Program in Water Science and Technology Mexican Institute of Water Technology Morelos Jiutepec62550 Mexico National Autonomous University of Mexico Campus Mexican Institute of Water Technology Morelos Jiutepec62550 Mexico

Urban lakes grapple with degradation, primarily due to excessive oxygen demand (OD) caused by loads of organic matter (OM) and nutrients. An OD load balance was developed to assess conditions and propose necessary actions to reduce pollutant loads, thereby improving water quality in Lake Nabor Carrillo, Mexico. The external and extracted loads of OD were determined based on flow rates and pollutant concentrations;the internal load was obtained through the determination of gross primary productivity;The load of OD accumulated in sediment (ODsed) was calculated based on the fraction of OM in sediment relative to the total incoming OM;the mineralized loads of OD in water and sediment were determined through respirometry;and the load of dissolved oxygen (DO) was obtained by applying the load balance for steady state. The final OD in water was determined through load balancing. By modifying parametric values in the balance, the final DO was calculated for different rehabilitation scenarios aiming to achieve sufficient oxygen for protection of aquatic life. The current oxygen demand is 1,824 t yr-1 in the lake. To achieve saturated dissolved oxygen, tailored measures beyond standard environmental regulations for discharges are needed by phosphorus (PT) removal to a concentration of 1.95 mg L-1. Alternatively, reducing BOD and TP to the maximum permissible limits for treated water into a lentic water body, along with applying 860 t yr-1 of oxygen, can also achieve the goal. Both scenarios would require five years to achieve stable results through the application of the proposed technologies. © 2024, The Authors. All rights reserved.

关键词： Lake pollution

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Integration of the grey relational analysis with machine learning for sucrose anaerobic hydrogen production prediction

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International Journal of Hydrogen Energy 2024年 68卷 388-397页

作者： Wang, Xianze Wang, Yifan Tseng, Yu-Yao Gao, Yidi Li, Keqing Wang, Ming-Hung Wu, Jinghui Lay, Chyi-How Huo, Mingxin Engineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China Ministry of Education School of Environment Northeast Normal University Changchun130117 China Science and Technology Innovation Center for Municipal Wastewater Treatment and Water Quality Protection Northeast Normal University Changchun130117 China Key Laboratory of Songliao Aquatic Environment Ministry of Education Jilin Jianzhu University Changchun130118 China Master's Program of Green Energy Science and Technology Feng Chia University Taichung40724 Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi County Taiwan

Anaerobic fermentation for hydrogen production is influenced by various environmental factors that can limit microbial activity. However, machine learning (ML) shows significant potential in explaining the complexity of biological processes. This study focuses on the application of ML in predicting hydrogen production rates (HPR) during anaerobic fermentation of biomass energy. Grey relation analysis was employed to investigate the correlation between operational parameters and HPR. Five ML algorithms, namely decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost), and K-nearest neighbor (KNN), were utilized in conjunction with operating conditions and digestate characteristics as features, with HPR as the target variable. The evaluation of the models was conducted using mean squared error (MSE) and R squared (R2). Notably, butyrate, oxidation-reduction potential (ORP), and volatile suspended solids (VSS) were identified as key factors influencing hydrogen production during sucrose anaerobic fermentation. Among the ML algorithms tested, XGBoost achieved the highest accuracy, with an R2 value of 0.91 and an MSE of 0.0052. © 2024 Hydrogen Energy Publications LLC

关键词： Machine learning

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Assessing long-term morphological changes in the Vietnamese Mekong Delta 12th

Assessing long-term morphological changes in the Vietnamese ...

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12th International Conference on Fluvial Hydraulics, River Flow 2024

作者： Ahmed, M.F. Binh, D.V. Nguyen, B.Q. Kantoush, S. Sumi, T. Doan, N.L.P. Tuan, L.A. Nguyen, N.T. Vuong, N.D. Vu, H.T. Thang, H.N. Quyen, L.V. Water Resources Research Center Disaster Prevention Research Institute Kyoto University Kyoto Uji-shi Japan Master program in Water Technology Reuse and Management Faculty of Engineering Vietnamese-German University Binh Duong Province Ben Cat Town Viet Nam University of Danang- University of Science and Technology Nguyen Luong Bang Danang Viet Nam Research Institute for Climate Change Can Tho University Ninh Kieu District Can Tho City Viet Nam Southern Institute for Water Resources Planning Ho Chi Minh City Viet Nam Faculty of Civil Engineering Technische Universität Dresden Germany Faculty of Fisheries University of Agriculture and Forestry Hue University Hue City Viet Nam

ISBN: (纸本)9781032757216

The Vietnamese Mekong Delta (VMD) has experienced significant morpho logical changes over decades, resulting in profound socioeconomic and environmental conse quences. This study investigated the VMD’s spatial and temporal morphological alterations from 1998 to 2020, utilizing four bathymetric datasets and remote sensing techniques. The ana lysis revealed that the average annual riverbed incision rate in the Tien and Hau Rivers dimin ished from-0.19 m/year (1998–2005) to-0.11 m/year (2005–2017) and further dropped to-0.10 m/year (2017–2020). The upper reaches of the Tien and Hau Rivers exhibited pronounce deepening over the three periods, whereas their lower reaches witnessed a converse trend. Add itionally, the study unveiled the average annual riverbank migration rate along the VMD, ran ging from 5 m/year to-5 m/year during the same examined periods. Notably, the dynamic processes of erosion and deposition intensified between 2017 and 2020. This research aims to provide crucial insights for refining sediment management strategies in the VMD. © 2025 The Author(s).

关键词： Miocene

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Spatiotemporal Analysis of Meteorological Drought Using Standardized Precipitation Index (SPI) in Gabiley Region, Somaliland

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Journal of Geoscience and Environment Protection 2023年第5期11卷 47-59页

作者： Abdisamad Abib Omar Jie-Lun Chiang Bashir Hassan Daud Department of Tropical Agriculture and International Cooperation National Pingtung University Science and Technology Taiwan Department of Soil and Water Conservation National Pingtung University Science and Technology Taiwan College of Engineering International Master Program on Natural Hazards Mitigation and Management National Cheng Kung University Taiwan

Drought is a common natural disaster worldwide, with varying durations, severity levels, and spatial extents. This study aimed to model the spatiotemporal variation of meteorological drought events in the Gabiley region of Somaliland. The study utilized primary data collected from the meteorological station in Gabiley and CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) data to develop the standardized precipitation index (SPI) at a 3-month timescale. The results of the study revealed that the study area was characterized by drought and received inadequate precipitation, resulting in catastrophic droughts that negatively impacted the socioeconomic situation of the community. Mild-to-severe meteorological drought events occurred every two to three years, with the most severe droughts occurring in 1998, 2002, 2009, 2015, and 2017. Specifically, the year 2015 experienced the most severe meteorological drought in the region during the studied period. The predominant type of drought was a mild year in the study area. The SPI was found to potentially identify meteorological drought, making it a useful tool for policymakers as they develop drought adaptation and mitigation policies. This study provides valuable information that can benefit local authorities and policymakers in creating drought mitigation and adaptation strategies in the Gabiley region.

关键词： Meteorological Drought SPI CHRIPS Rainfall Gabiley

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Treatment of seafood processing wastewater toward carbon neutrality: A comparison between coagulation/flocculation, chemical oxidation and absorbent methods

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Case Studies in Chemical and Environmental Engineering 2024年 10卷

作者： Thuan, Nguyen Chuyen Phat, Vien Vinh Thai Hang, Tran Thi Le Luu, Tran Tripple, Jana Wagner, Martin Master Program in Water Technology Reuse and Management Vietnamese-German University Binh Duong Province Viet Nam Institute IWAR Chair of Wastewater Technology Technical University of Darmstadt Franziska-Braun-Str. 7 Darmstadt 64287 Germany

Seafood processing wastewater contains many organic pollutants and nutrients that harm the environment if discharged without treatment. It is urgent to search for a solution to treat seafood processing wastewater for sustainable development purposes. This study aims to examine the different physico-chemical techniques used in seafood processing wastewater treatment, focusing on their ability to reduce pollutants with the aim of carbon neutrality. This study compares the effectiveness of coagulation-flocculation using Polyaluminium Chloride (PAC)/Anionic Polyacrylamide (APAM), chemical oxidation using Sodium hypochlorite (NaOCl), and adsorption using granular activated carbon (GAC). The results show that coagulation-flocculation with a PAC concentration of 125 mg/L after 30 minutes achieved a removal efficiency of 73.0 % for total suspended solids (TSS), 14.6 % for total dissolved solids (TDS), 65.0 % for chemical oxygen demand (COD), 50.0 % color, 10.0 % total nitrogen (TN), 1.0 % ammonium (NH₄⁺), and 10.0 % total phosphorus (TP). The addition of 62.5 mg/L APAM increased the removal efficiencies to 75.0 % TSS, 15.0 % TDS, 68.0 % COD, 50.3 % color, 10.1 % TN, 1.01 % NH₄⁺, and 10.5 % TP. pH 6.5 was ideal for the pollutant removal efficiencies in seafood processing wastewater using coagulation/flocculation. On the other hand, when using 500 mg/L of NaOCl in chemical oxidation for 15 minutes, it resulted in much lower pollutant removal efficiencies of 11.0 % TSS, 26.0 % COD, 50.0 % color, 6.80 % TN, 35.0 % NH₄⁺, while the TDS removal efficiency was not significant. Finally, using 20 g/L of GAC after 60 minutes recorded removal efficiencies of 75.0 % TSS, 18.0 % TDS, 56.8 % COD, 55.0 % color, 11.9 % TN, 20 % NH₄⁺, and 12.1 % TP. It was found that coagulation-flocculation was the most effective treatment method for seafood processing wastewater treatment when considering both the remov

关键词： Absorbent Chemical oxidation Coagulation/flocculation Physico-chemical Seafood processing wastewater

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The Application of Artificial Neural Network Model to Predicting the Acid Mine Drainage from Long-Term Lab Scale Kinetic Test

arXiv

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arXiv 2024年

作者： Abfertiawan, Muhammad Sonny Kautsar, Muchammad Daniyal Hasan, Faiz Palinggi, Yoseph Pranoto, Kris Water and Wastewater Research Group Faculty of Civil and Environmental Engineering Bandung Institute of Technology Indonesia Department of Electrical and Information Engineering Universitas Gadjah Mada Indonesia Environmental Engineering Master Program Faculty of Civil and Environmental Engineering Bandung Institute of Technology Indonesia Environmental Department PT Kaltim Prima Coal Indonesia

Acid mine drainage (AMD) is one of the common environmental problems in the coal mining industry that was formed by the oxidation of sulfide minerals in the overburden or waste rock. The prediction of acid generation through AMD is important to do in overburden management and planning the post-mining land use. One of the methods used to predict AMD is a lab-scale kinetic test to determine the rate of acid formation over time using representative samples in the field. However, this test requires a long-time procedure and large amount of chemical reagents lead to inefficient cost. On the other hand, there is potential for machine learning to learn the pattern behind the lab-scale kinetic test data. This study describes an approach to use artificial neural network (ANN) modeling to predict the result from lab-scale kinetic tests. Various ANN model is used based on 83 weeks experiments of lab-scale kinetic tests with 100% potential acid-forming rock. The model approaches the monitoring of pH, ORP, conductivity, TDS, sulfate, and heavy metals (Fe and Mn). The overall Nash-Sutcliffe Efficiency (NSE) obtained in this study was 0.99 on training and validation data, indicating a strong correlation and accurate prediction compared to the actual lab-scale kinetic tests data. This show the ANN ability to learn patterns, trends, and seasonality from past data for accurate forecasting, thereby highlighting its significant contribution to solving AMD problems. This research is also expected to establish the foundation for a new approach to predict AMD, with time efficient, accurate, and cost-effectiveness in future applications. © 2024, CC BY-NC-SA.

关键词： Coal industry

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