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Open AccessArticle

A Vulnerability Assessment in Scant Data Context: The Case of North Horr Sub-County

1
Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Universita di Torino, 10125 Torino, Italy
2
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(15), 6024; https://doi.org/10.3390/su12156024
Received: 28 May 2020 / Revised: 10 July 2020 / Accepted: 14 July 2020 / Published: 27 July 2020
(This article belongs to the Special Issue Risk-Informed Sustainable Development in the Rural Tropics)
In Kenyan rural areas belonging to the Arid and Semi-Arid Lands (ASALs), water quantity and water quality are major issues for the local population. In North Horr Sub-County water quality is threatened by nitrate contamination due to fecal matter pollution. This research, hence, aims at assessing the vulnerability of open shallow water sources to nitrate contamination due to fecal intrusion following flooding events and nitrate percolation in groundwater. The present research, indeed, provides, on one hand, new insights into the analysis of the vulnerability in a scant data context; on the other hand, it assesses the adaptation measures contained in the local development plan. Applying the reference definition of the Intergovernmental Panel on Climate Change (IPCC), the results demonstrate that the open shallow water sources in the northern part of the sub-county are more vulnerable to nitrate contamination. Furthermore, the consistency of the results proves the suitability of the methodology selected. Understanding the vulnerability at the local scale is key to planning risk-reduction strategies as well to increasing the local population’s knowledge about flood-related risks and water quality. View Full-Text
Keywords: vulnerability; rural area; scant data; nitrate contamination; water; flood vulnerability; rural area; scant data; nitrate contamination; water; flood
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MDPI and ACS Style

Bigi, V.; Pezzoli, A.; Comino, E.; Rosso, M. A Vulnerability Assessment in Scant Data Context: The Case of North Horr Sub-County. Sustainability 2020, 12, 6024. https://doi.org/10.3390/su12156024

AMA Style

Bigi V, Pezzoli A, Comino E, Rosso M. A Vulnerability Assessment in Scant Data Context: The Case of North Horr Sub-County. Sustainability. 2020; 12(15):6024. https://doi.org/10.3390/su12156024

Chicago/Turabian Style

Bigi, Velia; Pezzoli, Alessandro; Comino, Elena; Rosso, Maurizio. 2020. "A Vulnerability Assessment in Scant Data Context: The Case of North Horr Sub-County" Sustainability 12, no. 15: 6024. https://doi.org/10.3390/su12156024

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