Water Security
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Browsing Water Security by Subject "Kenyatta University"
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Publication Household's socio-economic factors influencing the level of adaptation to climate variability in the dry zones of Eastern Kenya(Elsevier, 2015-11-04) Mugi-Ngenga, E. W.; Mucheru-Muna, M. W.; Mugwe, J. N.; Ngetich, F. K.; Mairura, F. S.; Mugendi, D. N.Climate variability has a negative impact on crop productivity and has had an effect on many small-holder farmers in the arid and semi-arid lands (ASALs). Small-holder farmers in Eastern Kenya are faced with the constraint associated with climate variability and have consequently made effort at local level to utilize adaptation techniques in their quest to adapt to climate variability. However, documentation of the factors that influence the level of adaptation to climate variability in the study area is quite limited. Hence, this study aimed at assessing how the household's socio-economic factors influence the level of adaptation to climate variability. The study sites were Tharaka and Kitui-Central sub-Counties in Tharaka-Nithi and Kitui Counties of Eastern Kenya respectively. The data collected included the household demographic and socio-economic characteristics and farmers' adaptation techniques to cope with climate variability. Triangulation approach research design was used to simultaneously collect both quantitative and qualitative data. Primary data was gathered through a household survey. Both random and purposive sampling strategies were employed. Data analysis was done using descriptive and inferential statistics. Multinomial and Binary logistic regression models were used to predict the influence of socioeconomic characteristics on the level of adaptation to climate variability. This was done using variables derived through a data reduction process that employed Principal Component Analysis (PCA). The study considered five strategies as measures of the level of adaptation to climate variability; crop adjustment; crop management; soil fertility management; water harvesting and crop types; boreholes and crop variety. Several factors were found significant in predicting the level of adaptation to climate variability as being either low or medium relative to high. These were average size of land under maize; farming experience; household size; household members involved in farming; education level; age; main occupation and gender of the household head. Household socio economic factors found significant in explaining the level of adaptation should be considered in any efforts that aim to promote adaptation to climate variability in the agricultural sector amongst smallholder farmers.Publication The Contribution of Community Water Management Systems to Enhanced Water Security under Changing Legal and Weather Conditions in Kenya(Journal of Asian and African Studies, 2014-04-30) Mathenge, James Maina; Luwesi, Cush Ngonzo; Shisanya, Chris Allan; Mahiri, Ishmail; Akombo, Adhiambo; Mutiso, Mary NyawiraSince the implementation of the water sector reforms in Kenya in 2006, Ngaciuma-Kinyaritha catchment of Mount Kenya Region has seen the emergence of a Water Resource Users' Association (WRUA) amid dozens of Water Service Providers (WSPs) and hundreds of Community Water Management Systems (CWMSs). These new legal institutions were mandated to enhance water security through good management of the catchment’s land and water resources and provision of adequate water services to all the stakeholders with their participation in water resources management. This study sought to assess the status of the water balance and security in Ngaciuma-Kinyaritha Catchment prior and after the establishment of a WRUA therein. This would thus elicit the contribution of CWMSs to water security in Ngaciuma- Kinyaritha under changing legal and climatic environments. For that purpose, the study used descriptive statistics, OLS regression and hydrological modelling to compute the streamflow, water demand and balance from 1990 to 2012, and predict the future water security from 2013 to 2035 under the NOR scenario (normal weather conditions), XLOSS scenario (flooding) and XSCAR scenario (drought) using BasinIT software, SPSS and MS Excel spreadsheets. Most of the results were pointing out to water shortages in Ngaciuma-Kinyaritha from 1993 and onward, generally without enforcement of an Ecological Base Flow (EBF) of 30% by the WRMA. There is therefore need for contingency plans to curb unexpected drought, which should be implemented by the WRUA with participation of existing CWMSs. However, further attribution studies are needed to explain the failure or success of the new legal institutions mandated to manage and supply water in Ngaciuma-Kinyaritha, namely WRMA, WRUA and WSPs