Elevation and Slope as Key Determinants of Landslide-Prone Areas in Murang’a County, Kenya
Ikisiri
Landslide studies in Kenya have received less interest as opposed to other regions of the world. Murang’a County in Central Kenya presents a unique case of geographical interest not only due to its positioning within the alpine Aberdare Ranges but also because it has experienced serious, deadly and repeated landslide disasters. This study seeks to ascertain whether elevation and slope are key determinants of landslide in the county. Primary data collection instruments were Household (HH) questionnaires where a sample size of 393 HH was sampled at a confidence level of 95%. Secondary data for elevation and slope were derived from satellite imagery. A significant 95.5% of the respondents said that slope was a major landslide causal/trigger factor. A significant number of people (r=0.806) who had migrated to their current locations described steepness as a major causal/trigger factor. Elevation factor was mentioned by 90.2% of the respondents as a key factor contributing to the occurrence of landslides. The study concludes that elevation and slope are key and significant landslide causal/trigger factors in Murang’a County. The study recommends that people living in areas delineated as ‘high-risk zones’ should be advised to relocate to safer grounds to avert huge losses from potential landslide disasters
Upakuaji
Marejeleo
Cardinali, M., Galli, M., Guzzetti, F., Ardizzone, F., Reichenbach, P., & Bartoccini, P. (2006). Rainfall Induced Landslides In December 2004 In South-Western Umbria, Central Italy: Types, Extent, Damage And Risk Assessment. Natural Hazards And Earth System Sciences, 6(2), 237-260
Cobbinah, P. B., & Anane, G. K. (2016). Climate Change Adaptation In Rural Ghana: Indigenous Perceptions And Strategies. Climate And Development, 8(2), 169-178. [Google Scholar]. Accessed On 13-April-2021
Cortina, J. M. (1993). What Is Coefficient Alpha? An Examination Of Theory And Applications. Journal Of Applied Psychology, 78(1), 98.
Cronbach, L. J. (1943). On Estimates Of Test Reliability. Journal Of Educational Psychology, 34(8), 485.
Fell, R. (1994). Landslide Risk Assessment And Acceptable Risk. Canadian Geotechnical Journal, 31(2), 261-272.
Glade, T. (2003). Vulnerability Assessment In Landslide Risk Analysis. Erde, 134(2), 123-146.
Glade, T., Anderson, M. G., & Crozier, M. J. (Eds.). (2006). Landslide Hazard And Risk. John Wiley & Sons.
Google Earth Pro 7.3.3.7786. (April, 02, 2021). Kenya, Lat 37.0204360, Long -0.9376030, Eye Alt 20.75 Km, Elev. 1577 M. Image At Maxar Technologies. Cnes/Airbus 2013. (Accessed On May 10, 2021)
Gorsevski, P. V., Jankowski, P., & Gessler, P. E. (2005). Spatial Prediction Of Landslide Hazard Using Fuzzy K‐Means And Dempster‐Shafer Theory. Transactions In Gis, 9(4), 455-474.
Highland, L. (2006). Landslide Types And Processes. Fact Sheet 2004-3072, July 2004.
Highland, L.M., And Bobrowsky, Peter, (2008). The Landslide Handbook- A Guide To Understanding Landslides: Reston, Virginia, U.S. Geological Survey Circular 1325, 129 P.
Huho, J. M., Mashara, J. N., & Musyimi, P. K. (2016). Profiling Disasters In Kenya And Their Causes. Academic Research International. Volume 7(1).
Kenya Meteorological Department (Kmd), 2021. Murang’a Meteorological Services. Ministry Of Environment And Forestry. Website: Https://Meteo.Go.Ke/
Kenya National Bureau Of Statistics Volume Ii (Knbs, Volume Ii), 2019. 2019. Distribution Of Population By Administrative Units. November 2019. Online. Accessed From Website: Http://Www.Knbs.Or.Ke. Isbn: 978-9966-102-11-9.
Kenya National Bureau Of Statistics, Volume I (Knbs, Volume I), 2019. Population By County And Sub-County. November 2019. . Online. Accessed From Website: Http://Www.Knbs.Or.Ke. Isbn: 978-9966-102-09-6.
Khasanov, S., Juliev, M., Uzbekov, U., Aslanov, I., Agzamova, I., Normatova, N., & Holov, N. (2021). Landslides In Central Asia: A Review Of Papers Published In 2000–2020 With A Particular Focus On The Importance Of Gis And Remote Sensing Techniques. Geoscape, 15(2).
Maina-Gichaba, C., Kipseba, E. K., & Masibo, M. (2013). Overview Of Landslide Occurrences In Kenya: Causes, Mitigation, And Challenges. In Developments In Earth Surface Processes (Vol. 16, Pp. 293-314). Elsevier.
Mines And Geology Department, (2012). Map Of Landside Prone Areas In Kenya (Unpublished), Nairobi, Kenya.
Murang'a County Integrated Development Plan (Cidp), 2018. Murang’a County Integrated Development Plan (2018-2022). Unpublished.
Mwaniki, M. W., Ngigi, T. G., & Waithaka, E. H. (2011). Rainfall Induced Landslide Probability Mapping For Central Province. Agse 2011, 203.
Ngecu, W. M., & Mathu, E. M. (1999). The El-Nino-Triggered Landslides And Their Socioeconomic Impact On Kenya. Environmental Geology, 38(4), 277-284.
Ngecu, W. M., Nyamai, C. M., & Erima, G. (2004). The Extent And Significance Of Mass-Movements In Eastern Africa: Case Studies Of Some Major Landslides In Uganda And Kenya. Environmental Geology, 46(8), 1123-1133.
Njiraini, John Maina, Fredrick Okaka And Paul Omondi. Landslide Disasters’ Causal/Trigger Factors As Understood By The Indigenous People In Murang’a County, Kenya. Journal Of Geography, Environment And Earth Science International; 26(1): 5-16, 2022; Article No.Jgeesi.81582. Issn: 2454-7352. Doi: 10.9734/Jgeesi/2022/V26i130329
Nyaoro, D., Schade, J., & Schmidt, K. (2016). Assessing The Evidence: Migration, Environment And Climate Change In Kenya. International Organization For Migration (Iom). Online. Assessed On Www.Iom.Int. Accessed On 17th June 2022.
Othman, A. N., Naim, W. M., & Noraini, S. (2012). Gis Based Multi-Criteria Decision Making For Landslide Hazard Zonation. Procedia-Social And Behavioral Sciences, 35, 595-602.
Salome, K. R., Ocharo, R. M., & Gakuru, O. (2004). Strengthening Rural Community Bonds As A Means Of Reducing Vulnerability To Landslides: Kenya. In Global Symposium For Hazard Risk Reduction: Lessons Learned From The Applied Research Grants For Disaster Risk Reduction Program (Pp. 129-37).
Scheaffer, R. L., Mendenhall Iii, W., Ott, R. L., & Gerow, K. G. (2011). Elementary Survey Sampling. Seventh Edition, Advanced Series. Brooks/Cole Cengage Learning.
Shi, P., Ye, T., Wang, Y., Zhou, T., Xu, W., Du, J. & Okada, N. (2020). Disaster Risk Science: A Geographical Perspective And A Research Framework. International Journal Of Disaster Risk Science, 11(4), 426-440.
Slovin, E. (1960). Slovin’s Formula For Sampling Technique. Accessed On 13th June, 2021.
Thomas, M.F. (1974) Tropical Geomorphology A Study Of Weathering And Landform Development In Warm Climates. Mac- Millan, London
Usgs - United States Geological Survey, 2015. ‘Shuttle Radar Topography Mission (Srtm) 1 Arcsecond Global.’ Available Via Url Https://Earthexplorer.Usgs.Gov/. Accessed On 17 April 2021
Uzielli, M., Nadim, F., Lacasse, S., & Kaynia, A. M. (2008). A Conceptual Framework For Quantitative Estimation Of Physical Vulnerability To Landslides. Engineering Geology, 102(3-4), 251-256.
Van Westen, C. J., Van Asch, T. W., & Soeters, R. (2006). Landslide Hazard And Risk Zonation—Why Is It Still So Difficult? Bulletin Of Engineering Geology And The Environment, 65(2), 167-184.
Wahlstrand, A. (2015). Landslide Scars In The Kenyan Highlands: Physical And Chemical Topsoil Changes And Landslide Susceptibility Assessment Under Tropical Conditions (Doctoral Dissertation, Department Of Physical Geography, Stockholm University).
Westerberg, L.-O. And Christiansson, C., (1999): Highlands In East Africa: Unstable Slopes, Unstable Environments? Ambio. Vol. 28, No. 5, Research For Mountain Area Development: Africa And Asia (Aug., 1999), Pp. 419-429. Retrieved From Http://Www.Jstor.Org/Stable/4314924 On 17 July 2018.
Yufeng, S., & Fengxiang, J. (2009). Landslide Stability Analysis Based On Generalized Information Entropy. In Environmental Science And Information Application Technology, 2009. Esiat 2009. International Conference On International Conference On Environmental Science And Information Application Technology (Vol. 2, Pp. 83-85). Ieee.
Zhou, S., Zhou, S., & Tan, X. (2020). Nationwide Susceptibility Mapping Of Landslides In Kenya Using The Fuzzy Analytic Hierarchy Process Model. Land, 9(12), 535.
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