2020
DOI: 10.3390/su12156024
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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, ne… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 44 publications
0
3
0
Order By: Relevance
“…There are multiple weighting strategies for determining indexes, some of which are derived from mathematical models, such as principal component analysis (PCA), data envelope analysis and non-observed component models (UCM), or participatory approaches such as budget allocation processes (BAP) [29,30]. Additionally, many studies have used composite indicators based on equal weighting (EW), i.e., for each component (E, S and AC) all indicators are provided the same weight [31][32][33].…”
Section: Flood Vulnerability Index Methodologies For Weighting Indicmentioning
confidence: 99%
“…There are multiple weighting strategies for determining indexes, some of which are derived from mathematical models, such as principal component analysis (PCA), data envelope analysis and non-observed component models (UCM), or participatory approaches such as budget allocation processes (BAP) [29,30]. Additionally, many studies have used composite indicators based on equal weighting (EW), i.e., for each component (E, S and AC) all indicators are provided the same weight [31][32][33].…”
Section: Flood Vulnerability Index Methodologies For Weighting Indicmentioning
confidence: 99%
“…The results of these computations, along with many others, could be eventually used to enhance site assessment vulnerability to NO 3 − , even in those areas where a direct measurement of DNT rates is not available. Furthermore, where data are scant, new approaches to evaluate groundwater vulnerability have been recently proposed [165] that leave behind the concept of rating methods to consider NO 3 − contamination, suggesting specific sub-indicators of exposure, sensitivity, and adaptive capacity according to the indications of the Intergovernmental Panel on Climate Change [166,167].…”
Section: The Role Of Denitrification In Groundwater Vulnerability Ass...mentioning
confidence: 99%
“…Other changes over the last 20–30 years have included increased settlement close to water sources (Hazard et al, 2012), increased incidences of water‐borne diseases such as cholera and dysentery (Shivoga & Coppock, 2003; Wayua, 2017), other human and livestock health‐related challenges associated with water salinity (Rosinger et al, 2021) and nitrate poisoning of boreholes (Shivairo et al, 2014), and increased conflict over access to traditional water points now located in Protected Areas (Hazard & Adongo, 2015). Local inhabitants also report deterioration in water quality and falling water level in the underground Merti transboundary aquifer (Bigi et al, 2020) that crosscuts the eastern margins of Marsabit County extending south and east across Isiolo, Wajir, and Garissa Counties, and adjacent areas of Somalia (Abiye, 2010).…”
Section: Introductionmentioning
confidence: 99%