In Tharaka South, Eastern Kenya, Socio-Economic Variables Influence the Use of Rainwater Collecting and Conservation Methods

Authors

  • Sunita Bishnoi Professor, Department of Chemistry, Vivekananda Global University, Jaipur, India Author

Keywords:

Agriculture Climate Change, Dry Land, Economic, Rain Water Harvesting, Resource-Intensive

Abstract

Rainwater harvesting and conserving  technologies are essential interventions for water supply  and food production in Kenya's dry and semi-arid regions  due to low soil moisture levels. Despite extensive study  on the subject, variables influencing farmer acceptance  and adaptation of these helpful technologies remain  unknown, and low adoption and adaption levels of these  beneficial technologies remain a problem. This study  expands on this feature, focusing on the Tharaka South  sub-county, where family food insecurity is exacerbated  by water shortage, unpredictable rainfall, and soil water  stress. A cross-sectional survey methodology was used to  gather farm and social data from 351 household heads.  Descriptive statistics and logistic regression were used to  analyze the data. Trashlines (73 percent) used in situ  rainwater collecting and saving methods more than  micro-catchments (26 percent), Zai pits (26 percent), and  Negarims (13 percent). Household size (p 0.01) and Zai  pit training (p 0.002) were positively and substantially  related with Zai pit usage, whereas overall farm size (p  0.01) and land tenure (p 0.01) had negative co-efficients.  Rainwater collection and conservation technologies were  disseminated using both official and informal teaching  methods. Farmers' age, family size, farm size, farming  history, training, and formal education were shown to be  significant variables influencing the adoption of rainwater  collecting and saving technology in Tharaka sub-county,  according to the research. In contrast to less resource intensive technologies, specific methods are required to  increase the efficiency of asset technology.

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References

P. Gupta and A. Kumar, “Fluoride levels of bottled and tap water sources in Agra City, India,” Fluoride, 2012.

A. Bizoza and G. Umutoni, “Socio-Economic Impacts of Rain Water Harvesting Technologies in Rwanda: A case study of Nyaruguru District, Southern Province,” Rwanda J., 2012, doi: 10.4314/rj.v26i1.6.

K. Kumar Gola, N. Chaurasia, B. Gupta, and D. Singh Niranjan, “Sea lion optimization algorithm based node deployment strategy in underwater acoustic sensor network,” Int. J. Commun. Syst., 2021, doi: 10.1002/dac.4723.

K. K. Gola, M. Dhingra, and B. Gupta, “Void hole avoidance routing algorithm for underwater sensor networks,” IET Commun., 2020, doi: 10.1049/iet com.2019.1325.

A. K. Singh, “Kinetics of acid catalyzed solvolysis of amyl methanoate formate in water-ethylene glycol (EG) solvent,” 2020, doi: 10.1109/SMART50582.2020.9337122.

G. Khan, K. K. Gola, and M. Dhingra, “Efficient techniques for data aggregation in underwater sensor networks,” J. Electr. Syst., 2020.

U. Nachshon, L. Netzer, and Y. Livshitz, “Land cover properties and rain water harvesting in urban environments,” Sustain. Cities Soc., 2016, doi: 10.1016/j.scs.2016.08.008.

K. K. Gola and B. Gupta, “An energy-efficient quality of service (QOS) parameter-based void avoidance routing technique for underwater sensor networks,” Jordanian J. Comput. Inf. Technol., 2019, doi: 10.5455/jjcit.71-1562930035.

J.Vinoj and D. S. Gavaskar, “Smart City Rain Water Harvesting (IoT) Techniques,” Int. J. Sci. Dev. Res., 2018.

S. M. Mian and R. Kumar, “Review on Intend Adaptive Algorithms for Time Critical Applications in Underwater Wireless Sensor Auditory and Multipath Network,” 2019, doi: 10.1109/ICACTM.2019.8776782.

D. K. Sinha, R. Ram, and N. Kumar, “Quantitative assessment of Kali river water pollution,” Int. J. Chem. Sci., 2012.

M. P. Rowe, “Rain water harvesting in Bermuda,” J. Am. Water Resour. Assoc., 2011, doi: 10.1111/j.1752-1688.2011.00563.x.

F. J and D. J. D. A, “Smart Plant Growth on Hydroponics using Rain Water Harvesting,” Int. J. Trend Sci. Res. Dev., 2018, doi: 10.31142/ijtsrd11488.

A. K. Dwivedi, V. B. Patil, and A. B. Karankal, “Rooftop Rain Water Harvesting for Groundwater

Recharge in an Educational Complex,” Glob. J. Res. Eng. Civ. Struct. Eng., 2013.

D. Prinz, “Keynote Lecture The role of water harvesting in alleviating water scarcity in arid areas Prof. Dr. Dieter Prinz 1,” Water, 2002.

D. Prinz, “The role of water harvesting in alleviating water scarcity in arid areas,” 2002.

P. Leatherman, “Burton school rain water harvesting system: An educational tool with sustainable benefits,” J. Green Build., 2009, doi: 10.3992/jgb.4.4.19.

S. Rajendran, “Water Scarcity in Chennai: A Financial-Economic Appraisal of Rain Water Harvesting,” SSRN Electron. J., 2012, doi: 10.2139/ssrn.1152239.

M. Hatim, F. Siddiqui, and R. Kumar, “Addressing challenges and demands of intelligent seasonal rainfall forecasting using artificial intelligence approach,” 2020, doi: 10.1109/ICCAKM46823.2020.9051516.

M. H. F. Siddiqui and R. Kumar, “Interpreting the Nature of Rainfall with AI and Big Data Models,” 2020, doi: 10.1109/ICIEM48762.2020.9160322.

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Published

2021-01-30

How to Cite

In Tharaka South, Eastern Kenya, Socio-Economic Variables Influence the Use of Rainwater Collecting and Conservation Methods . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(1), 33–37. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11702