Proceedings of the Institution of Civil Engineers-Water Management最新文献_第5页

Improving the Prediction of Scour Depth Downstream of the Flip Bucket with Machine Learning Techniques 用机器学习技术改进翻斗下游冲刷深度预测

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2022-05-05 DOI: 10.1680/jwama.20.00089

Mohammad Rashki Ghaleh Nou, M. Azhdary Moghaddam

引用次数: 1

Risk assessment framework for the supply of water during a crisis 危机期间供水的风险评估框架

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2022-03-25 DOI: 10.1680/jwama.21.00072

M. A. Nekooie, M. Attari, Arash Ghaffariankolahi, Yaser Rajai

{"title":"Risk assessment framework for the supply of water during a crisis","authors":"M. A. Nekooie, M. Attari, Arash Ghaffariankolahi, Yaser Rajai","doi":"10.1680/jwama.21.00072","DOIUrl":"https://doi.org/10.1680/jwama.21.00072","url":null,"abstract":"A city's water supply system is one of the main lifelines vulnerable to natural hazards and artificial threats. It is also the main lifeline to provide clean and healthy water for the aftermath period and temporary shelters, victims, and remaining residents. During a crisis, the lack of an emergency water supply plan increases the casualties caused. This research aims to develop a supply plan for emergency water during a disaster by introducing a comprehensive risk assessment. The selected software to do this included Arc-GIS and Scenario Wizard to prepare emergencies and reduce the casualties of the natural disasters inflicted on Kermanshah City as a case study. To achieve this plan, three phases should be carried out. In the first phase, the vulnerability and destruction scenarios should be determined using Cross-Impact Balance analysis (CIB) based on the descriptors and their interactive variables. In the second phase, the risk zonation maps with the drinking water supply approach should be developed by using geographical data superposing different layers. In the third phase, three support and supply centre grades are introduced, and their distribution maps are developed, which is implemented for Kermanshah City. Earthquake is considered as the main disruption event.","PeriodicalId":54569,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Water Management","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72387210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Compression waves in semi-circular channel 半圆信道中的压缩波

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2022-02-04 DOI: 10.1680/jwama.21.00022

Emelia Dara Soechiarto, D. Wűthrich, H. Chanson

引用次数: 0

Water Surface Profile Prediction in Compound Channels with Vegetated Floodplains 植被泛滥平原复合河道水面剖面预测

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2022-01-24 DOI: 10.1680/jwama.21.00005

Marzieh Mohseni, Amineh Naseri

{"title":"Water Surface Profile Prediction in Compound Channels with Vegetated Floodplains","authors":"Marzieh Mohseni, Amineh Naseri","doi":"10.1680/jwama.21.00005","DOIUrl":"https://doi.org/10.1680/jwama.21.00005","url":null,"abstract":"In the present decade, floods have been among the most dangerous and frequent natural disasters.Most rivers are characterized by compound cross-sections that are usually covered with vegetation. The ability to simulate water surface profiles in vegetated rivers quickly and accurately is crucial in flood forecasting operations. This study aims to introduce a low-cost and practical tool for predicting the water surface profile in compound channels with vegetated floodplains. In particular, the current paper employs the Artificial Neural Network (ANN) and Support Vector Machine (SVM) techniques to develop a model for the prediction of the water surface profile in an experimental channel. For this purpose, two approaches were employed. The first one was based on utilizing non-dimensional data, while the second one used dimensional data.The performances of the prediction methods were determined via a 10-fold cross-validation approach. The comparative results revealed that the SVM algorithm outperformed the ANN and regression models.The performance of the SVM model induced by the dimensional data with a CC of 0.99±0.005 and an MAE of 0.0019±0.0002 was shown to be marginally better than that for the dimensionless data. The sensitivity analysis results also indicated that the relative discharge and relative depth played the most important role in estimating the water surface profile.","PeriodicalId":54569,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Water Management","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76843067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Deriving reservoir operating rules considering ecological demands of multiple stations 推导了考虑多站生态需求的水库运行规律

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-12-17 DOI: 10.1680/jwama.21.00009

Chen Wu, Yibo Wang, Jing Ji, Pan Liu, Liping Li, M. Feng

{"title":"Deriving reservoir operating rules considering ecological demands of multiple stations","authors":"Chen Wu, Yibo Wang, Jing Ji, Pan Liu, Liping Li, M. Feng","doi":"10.1680/jwama.21.00009","DOIUrl":"https://doi.org/10.1680/jwama.21.00009","url":null,"abstract":"Reservoirs play important roles in hydropower generation, flood control, water supply, and navigation. However, the regulation of reservoirs is challenged due to their adverse influences on river ecosystems. This study uses ecoflow as an ecological indicator for reservoir operation to indicate the extent of natural flow alteration. Three reservoir optimization models are established to derive ecological operating rule curves. Model 1 only considers the maximization of average annual hydropower generation and the assurance rate of hydropower generation. Model 2 incorporates ecological objectives and constraints. Model 3 not only considers the hydropower objectives but also simulates the runoff and calculates the ecological indicator values of multiple downstream stations. The three models are optimized by a simulation-optimization framework. The reservoir ecological operating rule curves are derived for the case study of China's Three Gorges Reservoir. The results represent feasible schemes for reservoir operation by considering both hydropower and ecological demands. The average annual power generation and assurance rate of a preferred optimized scheme for Model 3 are increased by 1.06% and 2.50%, respectively. Furthermore, ecological benefits of the three hydrologic stations are also improved. In summary, the ecological indicator ecoflow and optimization models could be helpful for reservoir ecological operations.","PeriodicalId":54569,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Water Management","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77597156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The influence of deposit body on the near-bed shear stress 矿床体对近层剪应力的影响

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-10-12 DOI: 10.1680/jwama.20.00139

Yanxian He, Jing Zhang, Huling Jiang, Zhixue Guo, Hongxing Zhao

引用次数: 0

Experimental and numerical study of Zuppinger water wheel model Zuppinger水轮模型的实验与数值研究

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-10-11 DOI: 10.1680/jwama.20.00056

Shakun Paudel, M. Weber, D. Geyer, N. Saenger

引用次数: 0

A Framework for Assessment of Flood Vulnerabilities – The Case of Narmada River Basin, India 洪水脆弱性评估框架——以印度纳尔马达河流域为例

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-10-08 DOI: 10.1680/jwama.20.00009

S. Pathak, M. Kulshrestha

引用次数: 0

A hybrid gene expression programming model for discharge prediction 一种用于流量预测的混合基因表达编程模型

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-10-08 DOI: 10.1680/jwama.21.00037

Shicheng Li, James Yang

引用次数: 1

Experimental study on the mechanisms of flow in a sine-generated meandering compound channel 正弦曲流复合河道流动机理的实验研究

IF 1.1 4区工程技术

Proceedings of the Institution of Civil Engineers-Water Management Pub Date : 2021-10-04 DOI: 10.1680/jwama.20.00018

G. Qu, Chengwei Hu, Shiming Yao, B. Ding

引用次数: 1