Mojtaba Barzegar Hamzekolae, M. Jalili Ghazizadeh, Mohammadreza Majdzadeh Tabatabai, I. Moslehi, Ehsan Yousefi-Khoshqalb
{"title":"Developing a new methodology for wastewater pipes cleaning prioritization using integrating Induced Ordered Weighted Averaging and fuzzy logic methods","authors":"Mojtaba Barzegar Hamzekolae, M. Jalili Ghazizadeh, Mohammadreza Majdzadeh Tabatabai, I. Moslehi, Ehsan Yousefi-Khoshqalb","doi":"10.1080/1573062X.2023.2190029","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper proposes a method for prioritizing sewer cleaning operations in the absence of historical data on failures. The method utilizes the Induced Ordered Weighted Averaging (IOWA) multi-criteria decision-making technique, incorporating experts' opinions to regulate subjective inferences and ascertain uncertainty. The study considers ten parameters categorized into three main focuses: structural, environmental, and operational to analyze sewer pipe conditions. As a case study, four small zones in Tehran city were prioritized using the proposed methodology. The findings reveal that (1) decision-makers' subjective priorities and evaluations do not significantly influence critical cleaning options, (2) pipe diameter is the most effective parameter for prioritizing since it allows pipes to be meaningfully categorized and compared, and (3) slope, age, depth, upstream manhole condition, and the number of connections and laterals are more important than other parameters. Overall, this study provides valuable insights into developing effective prioritization strategies for sewer cleaning operations.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"521 - 531"},"PeriodicalIF":1.6000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2190029","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT This paper proposes a method for prioritizing sewer cleaning operations in the absence of historical data on failures. The method utilizes the Induced Ordered Weighted Averaging (IOWA) multi-criteria decision-making technique, incorporating experts' opinions to regulate subjective inferences and ascertain uncertainty. The study considers ten parameters categorized into three main focuses: structural, environmental, and operational to analyze sewer pipe conditions. As a case study, four small zones in Tehran city were prioritized using the proposed methodology. The findings reveal that (1) decision-makers' subjective priorities and evaluations do not significantly influence critical cleaning options, (2) pipe diameter is the most effective parameter for prioritizing since it allows pipes to be meaningfully categorized and compared, and (3) slope, age, depth, upstream manhole condition, and the number of connections and laterals are more important than other parameters. Overall, this study provides valuable insights into developing effective prioritization strategies for sewer cleaning operations.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...