INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The main objective of this study is to assess the impact of maintenance management practices on reducing non-revenue water in the water distribution network. The specific objective of the paper is to evaluate the how DAWASA current maintenance management system practice in water distribution system contribute to overall non-revenue water of 37%. The study was conducted in Kibaha District of Tanzania. The case study design was employed. Purposive sampling of 80 representatives was included in the study. The study identified several factors influencing maintenance management practices in the water distribution network, including material vulnerability, lack of pipe and fittings, human activities (construction works), network duration, construction technology practices, material quality, water meter quality, water meter duration, technology, water project design practices, human resources, limited maintenance budget, and water pressure.
Keywords:
NON - REVENUE WATER REDUCTION , MAINTENANCE MANAGEMENT, WATER DISTRIBUTION NETWORK
Cite Article:
"CONTRIBUTION OF MAINTENANCE MANAGEMENT PRACTICES ON NON - REVENUE WATER REDUCTION IN WATER DISTRIBUTION NETWORK", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.d486-d496, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309362.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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