Rural Water Collection Patterns: Combining Smart Meter Data with User Experiences in Tanzania

Abstract

Water collection from piped water distribution systems (PWSs) in rural communities in sub-Saharan Africa is not understood in much detail. Here, distances travelled to distribution points (DPs), volumes collected, times of day of collection, and the relationship between location of DP and volume dispensed are investigated in a rural community in Tanzania using a combination of novel smart pre-payment meters and results from surveys and interviews. Continuous availability of water through pre-payment smart meters is shown to eliminate queue time, freeing time for farming or schooling, and enhance revenue collection for service provision. 97% of users use DPs as a main source of drinking water as opposed to unimproved alternative sources, and 42% live further than 400 m from a DP. Collection occurs across daylight with greater volumes dispensed in the afternoon–evening due to free time from economic activities and children returning from school. A low mean daily collection of 47 L per household from DPs is approximated. Volume dispensed across different DPs over time shows no clear pattern. However, the volume dispensed is indicated by the number of households that use each DP. Increasing PWS capacity can accommodate for variable collection patterns, and help improve sustainability of rural water supply.

Reliability Analysis of Intelligent Electric Energy Meter under Fusion Model Illness Analysis Algorithm

“…Remote online verification of smart meters in low-voltage stations is essential for maintaining the power grid. It can ensure the stable operation of users' rights and interests and reduce operating costs and power consumption [16,17]. However, due to the serious morbidity of the fusion model, the calculation result of the smart meter has a large error, and there are still many uncertain data.…”