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Pipelines 2024 Conference - Utility Infrastructure: Moving Onward to a Sustainable Future

作者： Monwuba, Chike K. Reid, Mark L. Moschillo, Christopher A. Dept. of Wastewater Engineering District of Columbia Water and Sewer Authority United States Enterprise Program Management Office District of Columbia Water and Sewer Authority United States Graph Tech Consulting Services

ISBN: (数字)9780784485569

ISBN: (纸本)9780784485569

This paper discusses the crucial role three-dimensional (3D)-based drawings and building information modeling (BIM) files play in the development of standard details for construction. Historically, standard details used by many utilities were based on sketches and unscaled two-dimensional (2D) drawings which often led to costly erroneous interpretation, delays in construction, and overall non-conformity in construction. The advent of 3D and BIM digital technologies has helped eliminate these issues by allowing for realistic designs with increased precision, better visualization, and fostering an efficient project management system. Furthermore, the standardization of details facilitated by 3D and BIM technologies enhances repeatability across projects, saving time, resources, and contributing to the overall sustainability of the construction industry. As an example, we will discuss the processes involved in the implementation of 3D drawings and BIM files into updating the District of Columbia, water and Sewer Authority Standard Details, and the overall benefits achieved across the utility. © ASCE.

关键词： Project management

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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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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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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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Assessing the Performance of Machine Learning Algorithms for water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High water Levels

SSRN

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SSRN 2024年

作者： Priyasiri, Wilmat D.S.M. Rittima, Areeya Kraisangka, Jidapa Sawangphol, Wudhichart Phankamolsil, Yutthana Talaluxmana, Yutthana Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Thailand Faculty of Information and Communication Technology Mahidol University Thailand Environmental Engineering and Disaster Management Program Mahidol University Kanchanaburi Campus Thailand Department of Water Resources Engineering Faculty of Engineering Kasetsart University Thailand

High precision of hydrological prediction is crucial for real–time operation of flood and drought risk mitigation and strategic planning. This study assessed the predictive performances of three Machine Learning (ML) algorithms;XGBoost, Random Forest (RF), and Multi–Layer Neural Networks (MLNNs) for water level prediction with a focus on low and high water levels. The one–day and one–week water level prediction models for six key gauged stations along the Chao Phraya River and its major tributaries were accordingly developed. Selecting the combination of input features was carried out and structured in the prediction model at all gauged stations based on the physical river–reservoir system using past water level, rainfall, controlled reservoir outflow, and upstream discharges with different travel times. The statistical evaluation indicated that both XGBoost and RF, the tree–based ML models, with rainfall input robustly outperformed than MLNNs, as it strongly achieved higher R2 from 0.957 to 0.999 for model training and from 0.743 to 0.995 for model testing and lower MAE, MSE, and RMSE values for all prediction scenarios. Among these three ML algorithms applied for daily prediction, RF demonstrated the superior performance for low water level prediction exhibiting the smallest percentage error of overestimating lying between +0.0088% and +0.9380%. XGBoost, RF, and MLNNs, demonstrated acceptable performance level for high water level prediction as it shows small percentage error of both overestimating and underestimating lying between –2.2696% and +1.1587%. Additionally, it can capture the entire testing dataset with high precision than weekly model. © 2024, The Authors. All rights reserved.

关键词： Rain

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Human-nature relationships and its implications on the management of eastern arc water catchments of Tanzania

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water Science 2023年第1期37卷 11-17页

作者： Lema, M.W. Kapinga, A.G. Madamombe, G.T. Kwawuvi, D. Department of Environmental Engineering and Management University of Dodoma Dodoma Tanzania Department of Environmental Management Pan Africa University Life and Earth Sciences Institute (PAULESI) University of Ibadan Ibadan Nigeria Environmental Management Renewable Energy and Climate Change Research Centre Harare Institute of Technology Harare Zimbabwe Graduate Research Program on Climate Change and Water Resources University of Abomey-Calavi du Benin Abomey Benin

This study is aimed at understanding the Human–Nature Relationships (HNRs) in the Lower Mngeta and Upper Zigi catchments, as parts of Eastern Arc water catchment areas, in the United Republic of Tanzania. This study employed the Theory of Planned Behavior (TPB) and Norm-Activation Model (NAM) to understand the position of humans in the two catchments’ ecosystems. The study design involved Focus Group Discussions, Key Informant Interview, and Household Questionnaire Surveys. A total of 310 (185 males and 125 females) villagers were involved in this study. Furthermore, four HRN typologies, master over nature, partner with nature, a participant in nature, and steward of nature, were adopted. The study findings indicated that there was no significant difference (X ² test, p > 0.05) in HNRs between the two catchments. Moreover, master over nature typology was dominant in both catchments, with values of 59.4% (n = 200) and 59.5% (n = 85) in Lower Mngeta and Upper Zigi, respectively. The main reason is that HNR is dependent on the nature of the livelihood activities and the mode of subsistence of a particular community. It was also found that the communities in Lower Mngeta and Upper Zigi catchments are mostly dependent on agricultural and hunting activities that highly depended on the two catchment resources. This study, therefore, recommends an increase in the level of community participation in all decision-making activities, as well as an increase in environmental education for sustainable utilization and management of the two catchment resources. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Catchment master Mngeta participant Zigi

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Performance Analysis of Building Integrated Photovoltaic (BIPV): MANOVA Analysis 1

Performance Analysis of Building Integrated Photovoltaic (BI...

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1st Middle East and North Africa Solar Conference, MENA-SC 2023

作者： Alzahmi, Wadhah Alyaarbi, Alyaa Alnaqbi, Tahani Alzaatreh, Ayman Dubai Electricity and Water Authority Dubai United Arab Emirates American University of Sharjah Sharjah Department of Industrial Engineering Engineering Systems Management Program Sharjah26666 United Arab Emirates College of Arts and Sciences American University of Sharjah Sharjah Department of Mathematics and Statistics Sharjah26666 United Arab Emirates

ISBN: (纸本)9781665491464

Global energy consumption has increased over the years due to population growth, economic expansion, and the pursuit of a higher quality of life. The building sector is a critical sector for high consumption, contributing to about 36% of the total global energy consumption in 2020. The global interest in reducing energy consumption allows different sectors to adopt renewable resources such as solar photovoltaics (PV). However, utilizing solar PV in buildings has limitations due to rooftop space constraints in newly designed buildings. Due to this limitation and continuous innovation in solar PV technologies, Building Integrated Photovoltaics (BIPV) have been introduced as a potential alternative for solar PV in buildings. As such, BIPV energy performance and panel temperatures are affected by many factors such as orientation setup and technology type. Therefore, this research aims to analyze the impact of technology type (indium gallium selenide (CIGS) and monocrystalline (MONO) & orientation on BIPV energy production & module temperature. The data used for this study is based on a project completed in Dubai for BIPV in building applications. The results indicate that BIPV type and system orientation during each session significantly affect BIPV energy production and BIPV module temperature. © 2023 IEEE.

关键词： Energy utilization

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Sadewa satellite remote sensing data to Manggarai 1-hour water level machine learning model 8

Sadewa satellite remote sensing data to Manggarai 1-hour wat...

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8th International Conference on Advanced Informatics: Concepts, Theory, and Application, ICAICTA 2021

作者： Valerian, Jonathan Raditya Rohmat, Faizal Kardhana, Hadi Kusuma, Muhammad Syahril Badri Yatsrib, Muhammad Institut Teknologi Bandung Master of Water Resources Management Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Research Group Faculty of Civil and Environmental Engineering Bandung Indonesia Institut Teknologi Bandung Water Resources Engineering and Management Study Program Faculty of Civil and Environmental Engineering Bandung Indonesia

ISBN: (纸本)9781665417433

The Manggarai water Gate is a measurement point strategically located to measure Jakarta's flooding magnitude that keeps increasing from year to year. The 2015s gate capacity improvement underscores this importance. This paper applies a machine learning model that utilizes an atmospheric approach to predict the Manggarai water level as output. In the process, optimization is done by comparing three spatial input sizes and performing a sensitivity analysis of the input variables. Using a simple recurrent sequence, the model can predict the water level with a coefficient of determination (R2) reaching 0.7 using 18-hour recurrent data. This study can be used as the basis for further development that can take satellite data lead time advantage that is crucial for the early warning system. © 2021 IEEE.

关键词： water levels

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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The Effect of Building with Nature Structure on Estuary Mitigation: A Case Study of Muara Beting Beach, Muara Gembong, Indonesia 7th

The Effect of Building with Nature Structure on Estuary Miti...

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7th International Conference on Civil engineering and Architecture, ICCEA 2024

作者： Wulandari, Siska Nugroho, Eka Oktariyanto Nugroho, Joko Cahyono, Muhammad Saurena, Alfandias Widyaningtias Asferizal, Ferial Master Program of Water Resource Engineering Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung40132 Indonesia Water Resources Engineering Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Bandung40132 Indonesia Ministry of Public Works and Housing Jalan Pattimura 20 Jakarta Indonesia Department of Integrated Water Management Engineering Institut Teknologi Sumatera Lampung Indonesia

ISBN: (纸本)9789819661145

The Muara Beting coastal area on the north coast of Java, Indonesia, faces coastal erosion processes that gradually affect the decrease of mangrove land. That process causes the land to be extremely eroded and become closer to the Citarum River. The seawater intrusion occurs within the decreasing land mangroves. If erosion persists, the increased seawater intrusion might result in the convergence of the pond area with the Citarum River. This study aims to simulate and analyze how the "Building with Nature" building can be applied as a mitigation strategy through Delft3D simulations. Data was collected through field surveys, satellite image analysis, and library observations to evaluate the impact of the proposed solutions. The simulations used bathymetry, sediment characteristics, wind, tide, and river discharge measurements for input data. Apart from simulating natural conditions, several scenarios were also arranged based on the placement of permeable structures combined with the floodway. The best scenario was selected from where cumulative sedimentation and erosion and the cross-sectional depth show best. This study's findings will be intended to assist Muara Beting’s coastal community in reconstructing pond land that has been harmed by coastal erosion, allowing the locals to carry on with their pond-related livelihoods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Building with Nature Coastal erosion Delft3D Muara Beting sedimentation

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