A review of climatic impacts on water main deterioration

被引:8
|
作者
Ahmad, Tayyab [1 ]
Shaban, Ibrahim Abdelfadeel [2 ]
Zayed, Tarek [3 ]
机构
[1] Qatar Univ, Coll Engn, Dept Civil & Architectural Engn, Doha, Qatar
[2] United Arab Emirates Univ, Mech & Aerosp Engn Dept, Abu Dhabi, U Arab Emirates
[3] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hung Hum, Hong Kong, Peoples R China
关键词
Water pipe; Systematic; Scientometric; Failure modelling; Weather; URBAN DRAINAGE SYSTEMS; PIPE FAILURE; WEATHER CONDITIONS; PREDICTION; MODELS; BREAKS; NETWORKS; BEHAVIOR; EVENTS; TIME;
D O I
10.1016/j.uclim.2023.101552
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Watermains are both directly and indirectly affected by climatic conditions such as temperature and precipitation. Research has been conducted to understand and model the effects of climatic conditions on watermain breaks. However, review studies to map the knowledge development in this area, to identify key achievements and limitations of previous studies are missing, and are addressed in this study. This review uses a mixed systematic and scientometric analysis to establish the research trends, contributions, methods, and covariates employed by previous studies related to climatic impacts on watermain deterioration. Web of Science and Scopus database is primarily employed to identify 70 relevant studies on the subject matter. These studies have been mostly conducted by institutions based in Canada, USA, and Europe. There is a general lack of collaboration among different institutions conducting research in this area. Studies in the subject matter are published from 1982 onwards, however, significant number of studies per year can only be noticed from 2005 onwards. Previous studies have been mostly focused on the modelling of watermain failure and have used statistical methods, and data-driven and artificial intelligence (AI) approaches for failure modelling of watermains under climatic conditions. For testing and validation of research data, studies have employed correlation analysis, performance evaluation metrics, and descriptive statistics. Typically, climate-related variables used in studies include temperature, moisture, and precipitation. Reviewed studies have considered cold (66%), hot (31%), and dry (13%) climatic conditions. Studies have investigated watermains made of metal (56%), plastics (43%), and Concrete and Asbestos cement (31%). Future studies are rec-ommended to consider Data-driven and AI approaches in research design; pay attention to watermains in climatically vulnerable and massively populated regions; and consider climate risk assessment and the impact of climate change and extreme weather conditions on watermains.
引用
收藏
页数:29
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