IJCRR - 6(18), September, 2014
Pages: 01-06
ANALYSIS OF DROUGHT EFFECT ON ANNUAL STREAM FLOWS OF RIVER MALEWA IN THE LAKE NAIVASHA BASIN, KENYA
Author: Marshal M. Kyambia, Benedict M. Mutua
Category:
[Download PDF]
Abstract:
The main parameters of drought phenomenon are the longest duration and largest severity for a desired return period. These parameters form the basis for designing water storage structures to cope with drought effects. In this study, these drought parameters were estimated using the probability based theory. The sample estimates of the mean, coefficient of variation, skewness, correlation and information on the probability distribution of flow sequence, were used as the basic input parameters. The truncation level was considered at mean level of the annual flow sequences of River Malewa in Lake Naivasha basin. In this basin, 100, 50, 10, 5 and 2-year droughts may persist continuously for 6, 4, 3, 2 and 1 years respectively. From the probabilistic approach for a normal probability distribution function, high values of coefficient of variation resulted in high values of the actual severity. The results show that there is drought severity in Lake Naivasha basin especially in parts experiencing high inter-annual variability in annual flow regimes.
Keywords: Drought, Severity, Return Period, Probability Theory, Truncation Level
Citation:
Marshal M. Kyambia, Benedict M. Mutua. ANALYSIS OF DROUGHT EFFECT ON ANNUAL STREAM FLOWS OF RIVER MALEWA IN THE LAKE NAIVASHA BASIN, KENYA International Journal of Current Research and Review. 6(18), September, 01-06
References:
Abad MBJ, Zade AH, Rohina A, Delbalkish H, Mohagher SS. The effect of climate change on flow regime in Bashar River using two meteorological and hydrological standards. International Journal of Agriculture and Crop Sciences 2013; 5: 2852-2857.
Below R, Grover-Kopec E, Dilley M. Documenting drought related disasters. A global reassessment. J Environ Dev 2007; 16:328–344.
Biamah EK, Sterk G, Sharma TC. Analysis of agricultural drought in Iiuni, Eastern Africa: application of a Makov Model. Hydrol. Processes 2005; 19(5): 1307-1322.
Chow VT, Maidment DR, Mays LW. Applied Hydrology. McGrawHill, New York 1988.
Chung CH, Salas JD. Drought occurrence probabilities and risks of dependent hydrologic processes. J. Hydrologic Engrg, ASCE 5 2000; (3): 259–268.
El-Jabi N, Noyan T, Daniel C. Regional Climate Index for Floods and Droughts Using Canadian Climate Model (CGCM3.1). American Journal of Climate Change 2013; 2(2): 1-10 DOI:10.4236/ajcc.2013.22011.
Hayes M, Svoboda M, Wall N, Widhalm M. The Lincoln declaration on drought indices: universal meteorological drought index recommended. Bull Am Meteorol Soc 2011; 92:485–488.
Hisdal H, Tallaksen LM. Estimation of regional meteorological and hydrological drought characteristics: a case study of Denmark. J. Hydrol 2003: 281: 230-247.
Horn DR. Characteristics and spatial variability droughts in Idaho. J. Irrg. Drain Engng Div. ASCE 1989; 115(1): 111-124.
Jahangir ATM, Sayedur RM, Saadat AHM. Gamma Distribution and its Application of Spatially Monitoring Meteorological Drought in Barind, Bangladesh. International Journal of Geomatics and Geosciences 2013; 3(3): 511-524.
Libiseller C, Grimvall A. Performance of partial Mann-Kendall test for trend detection in the presence of covariates. Environmetrics 2002; 13: 71–84.
Lukman AP. Regional Impacts of Climate Change and Variability of Water Resources (Case study of Lake Naivasha basin, Kenya) [dissertation]. International Institute for Aerospace Survey and Earth science, Enschede, The Netherlands; 2003.
Mann HB, Whitney DR. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 1947; 18: 50–60. Mann HB. Non-parametric test against trend. Econometrika 1945; 13: 245–259.
Meigh JR, Tate EL, McCartney MP. Methods for identifying and monitoring river flow drought in Southern Africa. In proc.
Lukman AP. Regional Impacts of Climate Change and Variability of Water Resources (Case study of Lake Naivasha basin, Kenya) [dissertation]. International Institute for Aerospace Survey and Earth science, Enschede, The Netherlands; 2003.
Mann HB, Whitney DR. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 1947; 18: 50–60. Mann HB.
Non-parametric test against trend. Econometrika 1945; 13: 245–259. Meigh JR, Tate EL, McCartney MP. Methods for identifying and monitoring river flow drought in Southern Africa. In proc.
|