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Monografia
Seleção de metodologia para diagnóstico preliminar assertivo de vazamentos na rede de distribuição de água de Palmas – TO
The resources used to contain the physical losses of water in the distribution networks are scarce, and the identification of locations with a high potential in terms of spills is the key point in the optimization of the operational routine. Therefore, it is necessary to implement a competent method...
Autor principal: | Buratto, Iohany Rocha |
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Grau: | Monografia |
Idioma: | pt_BR |
Publicado em: |
Universidade Federal do Tocantins
2020
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Assuntos: | |
Acesso em linha: |
http://hdl.handle.net/11612/2214 |
Resumo: |
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The resources used to contain the physical losses of water in the distribution networks are scarce, and the identification of locations with a high potential in terms of spills is the key point in the optimization of the operational routine. Therefore, it is necessary to implement a competent method that assertively directs investments to areas with economically detectable leaks, in greater numbers, and justifying the mobilization of preliminary efforts and repairs. In this way, an efficient and practical plan for the preparation of preliminary diagnoses and prioritization of District Meter Area (DMA) was determined according to their criticality. Seven DMAs from Palmas - TO were analyzed, where the study was limited to monitoring the flow of the areas to calculate the Non-Revenue Water (NRW), Non-Revenue Water per Connection (NRWC) and the Survey Factor (SF) of each metering district. Then, field verification was carried out, with a leak survey, which detected the number of network failures (visible and not visible) for the classification of the most critical areas. Comparing the criticality ratings indicated by the NRW, NRWC and SF with the classification proven in loco, the best methodology was determined. The most efficient loss indicator was the Survey Factor, chosen through the Qui-Quadrado Test. The result only proved that the SF, because it is based on the minimum night flows, has less interference from apparent losses, and is more effective in indicating the area with the highest number of leaks. |