Visualization of Water Services in Africa: Data Applications for Nexus Governance

Mannschatz, Theresa; Buchroithner, Manfred; Hülsmann, Stephan

doi:10.1007/978-3-319-05747-7_9

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…Monthly aggregations are used as they are not disrupted by brief non-functionality events. These dynamic maps give geospatial context to DP location [50,63,64]. The reasons for these observations are explored in relation to how many households are nearest to each DP.…”

Section: Relationship Between Water Volume Dispensed and The Locationmentioning

confidence: 99%

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

Ingram

Memon

2020

Water

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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.

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Section: Relationship Between Water Volume Dispensed and The Locationmentioning

confidence: 99%

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

Ingram

Memon

2020

Water

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show abstract

“…As a consequence, even when national governments or practitioners want to implement a Nexus Approach they may not have the information they need. We need better coordination of data collection, better access to complete data, comparable standards, better analysis of data, as well as a unified monitoring framework (see "Monitoring Methods" on page 47), enabling meaningful visualisation to support good governance (Mannschatz et al 2015).…”

Section: Nexus Observatorymentioning

confidence: 99%

From Isolation to Integration: Five Years of Advancing a Nexus Approach to Environmental Resource Management

2018

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The Role of International Cooperation in Operationalizing the Nexus in Developing Countries

Meyer

Kurian

2017

Water‐Energy‐Food Nexus

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Visualization of Water Services in Africa: Data Applications for Nexus Governance

Cited by 6 publications

References 34 publications

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

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

From Isolation to Integration: Five Years of Advancing a Nexus Approach to Environmental Resource Management

The Role of International Cooperation in Operationalizing the Nexus in Developing Countries

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