Analysis of the factors influencing the fluctuation of non-revenue water in Luangprabang City, Laos

Autor: Sunti Chandaeng, Benyapa Sawangjang, Shinobu Kazama, Satoshi Takizawa
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Aqua, Vol 73, Iss 3, Pp 453-463 (2024)
Druh dokumentu: article
ISSN: 2709-8028
2709-8036
DOI: 10.2166/aqua.2024.246
Popis: Non-revenue water (NRW) in Luangprabang City, Laos, has been high and fluctuating. Therefore, we aimed to analyze the factors influencing the fluctuation of NRW in two district-metered areas (DMAs). The average NRWs for 16–17 months in DMA-1 and DMA-2 were 28.92 and 43.92%, respectively, whereas the coefficients of variation of the monthly NRWs were high at 49.7 and 11.7%, respectively. Among the factors causing the fluctuation of NRW, meter inaccuracies were less than 2%, although inaccessibility to customer meters was high at 46.4 and 38.7% in DMA-1 and DMA-2, respectively. However, the meter reading intervals had little influence on billed water consumption. Using the IWA Water Balance table, the apparent loss was estimated as 2.6%, whereas the real loss (24.9%) was the main component of NRW (27.5%) in DMA-2. The monthly and 3–7-month moving averages of NRW were inversely correlated with billed water consumption, indicating that both volumetric and percentage NRWs were strongly influenced by fluctuations in billed water consumption. Network simulation verified that high inaccessibility to customer meters, particularly during the COVID-19 lockdown, caused large fluctuations in billed water consumption and NRWs. Therefore, access to customer water meters should be improved to alleviate the fluctuation of NRW. HIGHLIGHTS High rates of meter malfunction and inaccessibility caused NRW fluctuation.; Apparent loss was only 9.4%, whereas real loss was 90.6% for non-revenue water.; Volumetric and percentage NRWs are inversely correlated with billed consumption.; Taking moving averages helps find relations between water consumption and NRW.; Meter reading errors can be estimated using DMA inflow data and EPANET simulation.;
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