dc.contributor.author | Ochungo, Ochungo | |
dc.contributor.author | Ouma, Gilbert | |
dc.contributor.author | Obiero, John P | |
dc.contributor.author | Odero, N A | |
dc.date.accessioned | 2021-09-29T06:46:59Z | |
dc.date.available | 2021-09-29T06:46:59Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Ochungo EA, Ouma GO, Obiero JPO, Odero NA. "An Assessment of Groundwater Grab Syndrome in Langata Sub County, Nairobi City-Kenya." Journal of Water Resource and Protection. 2019;11:651-673. | en_US |
dc.identifier.uri | https://www.researchgate.net/publication/333482615_An_Assessment_of_Groundwater_Grab_Syndrome_in_Langata_Sub_County_Nairobi_City-Kenya | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/155543 | |
dc.description.abstract | Interest on the investigation of groundwater depletion threat is growing globally
and Langata sub County in Nairobi, the capital city of the Republic of
Kenya, is not an exception. Because of drought-induced water shortage,
households in Langata do rely on borehole water to augment their intermittent
municipal water supply system. Consequently, there is an upsurge of borehole
developments as drought events unfold. Previous studies here have
focused on impact of borehole depths and density yet little seems to have
been done to compute the correlation coefficient between drought events data
and historical borehole development records as an assessment for groundwater
“grab” syndrome. This study used drought index computation method
(SPI) alongside other statistical methods to seek the answer to the problem.
Using 57 years of monthly rainfall data and 26 years of borehole development
data, the study established that, there is a positive correlation coefficient. Similarly,
a trend analysis of borehole drilling and struck water level depths indicated
a positive parallel rising trend on both. Further, when the borehole
distribution map and struck water level contour maps were plotted, a sign of
a probable well interference during pumping was detected, which however,
requires a new investigation to confirm the syndrome of groundwater depletion
threat. The study has contributed to the groundwater depletion research
by deploying statistical research methods for risk detection. Finally, the study
has proposed for a new groundwater management policy that will encourage
initiation of artificial recharge schemes for the study site and beyond. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Drought, Groundwater, Depletion and Sustainability | en_US |
dc.title | An Assessment of Groundwater Grab Syndrome in Langata Sub County, Nairobi City-kenya | en_US |
dc.type | Article | en_US |