PL EN
OPTIMUM PARAMETER SELECTION FOR THE MORPHOMETRIC DESCRIPTION OF WATERSHEDS: A CASE STUDY OF CENTRAL NIGERIA
 
More details
Hide details
1
University of Ilorin, Kwara State, Ilorin, Nigeria
 
 
Publication date: 2015-09-09
 
 
J. Ecol. Eng. 2015; 16(4):29-35
 
KEYWORDS
ABSTRACT
Hydrological models are very useful for predictions in many ungauged basins across the world. There are many hydrological models available for discharge data generation with different complexities and varied input parameter requirements. Studies have shown that models with many input parameters do not necessarily perform better than those with few input parameters. Basin morphometric parameters play significant roles in the conversion of rainfall to runoff and obtaining good estimates of these parameters for use in runoff models is sometime challenging as Inaccurate input into models can propagate errors and make the models to perform poorly. This study employs the method of principal component analysis to reduce the number of morphometric parameters required to run a runoff model without losing any major information. Parameters for five selected study basins in central Nigeria were measured and analysed. The result shows that three morphometric parameters (Fitness Ratio, Ruggedness Number and Watershed Eccentricity) can adequately represent other parameters as an input into a runoff model for the basins. This reduces significantly the time and effort needed to compute all the parameters which in actual fact may not improve the quality or efficiency of the runoff model.
 
REFERENCES (25)
1.
Abdi H., Williams L.J., 2010. Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459.
 
2.
Ajibade L.T., Ifabiyi I.P., Iroye K.A., Ogunteru S., 2010. Morphometric analysis of Ogunpa and Ogbere drainage basins, Ibadan, Nigeria. Ethiopian Journal of Environmental Studies and Management, 3(1), 13–19.
 
3.
Al-Saud M., 2009. Morphometric analysis of Wadi Aurnah drainage system, Western Arabian Peninsula. The Open Hydrology Journal, 3, 1–10.
 
4.
Bagyaraj M., Gurugnanam B., 2011. Significance of morphometry studies, soil characteristics, erosion phenomena and landform processes using remote sensing and GIS for Kodaikanal Hills. A global biodiversity hotpot in Western Ghats, Dindigul District, Tamil Nadu, South India. Research Journal of Environmental and Earth Sciences, 3(3), 221–233.
 
5.
Chow V.T., Maidment D.R., Mays L.W., 1988. Applied hydrology. McGraw Hill Book Company. New York, USA.
 
6.
Doad A.P., Warghat S.R., Khadse S.P., 2012. Morphometric analysis for hydrological studies using Geographical Information System: A case study. International Journal of Engineering Research and Technology, 1(5), 1–8.
 
7.
Eze E.B., Efiong J., 2010. Morphometric parameters of the Calabar River Basin: Implication for hydrologic process. Journal of Geography and Geology, 2(1), 18–26.
 
8.
Ezemonye M.N., Emeribe C.N., 2013. Appraisal of the Hydrological Potential of Ungauged Basin Using Morphometric Parameters. Ethiopian Journal of Environmental Studies and Management, 6(4), 376–380.
 
9.
Golekar R.B., Baride M.V., Patil S.N., 2013. Morphometric Analysis and Hydrogeological Implication: Anjani and Jhiri River Basin, Maharashtra, India. Archives of Applied Science Research, 5(2), 33–41.
 
10.
Howard A.D., 1990. Role of Hypsometry and Planform in Basin Hydrologic Response. Hydrological Processes, 4, 373–385.
 
11.
Malik M.I., Bhat M.S., Kuchay N.A., 2011. Watershed Based Drainage Morphometric Analysis of Lidder Catchment in Kashmir Valley Using Geographical Information System. Recent Research in Science and Technology, 3(4), 118–126.
 
12.
Matsuda I., 2004. River Morphology and Channel Processes. In: James C.I. Dooge (Ed.) Fresh Surface Water. Encyclopaedia of Life Support Systems (EOLSS), Developed under the Auspices of the UNESCO, EOLSS Publishers, Oxford, UK, (http://www.eolss.net).
 
13.
Nanda A.M., Ahmed P., Kanth T.A., Hajam R. A., 2014. Morphometric Analysis of Sandran Drainage Basin (J & K) Using Geo-spatial Technology. Earth Science India, 7(2), 55–66.
 
14.
Pal B., Silesh S., Pal D.K., 2012. Morphometric and Hydrological Analysis and Mapping for Watut Watershed Using Remote Sensing and GIS Techniques”, International Journal of Advances in Engineering and Technology, 2(1), 357–368.
 
15.
Pareta K., 2012. Hydromorphogeological Study of Karawan Watershed Using GIS and Remote Sensing Techniques. Environmental Systems Research Institute (ESRI) International User Conference, San Diego, USA.
 
16.
Pareta K., Pareta U., 2011. Quantitative Morphometric Analysis of a Watershed of Yamuna Basin, India Using ASTER (DEM) Data and GIS. International Journal of Geomatics and Geosciences, 2(1), 248–269.
 
17.
Perrin C., Michel C., Andreassian V., 2001. Does a Large Number of Parameters Enhance Model Performance? Comparative Assessment of Common Catchment Model Structures of 429 Catchments.Journal of Hydrology, 242, 275–301.
 
18.
Pingale S.M., Chandra H., Sharma H.C., Mishra S.S., 2012. Morphometric Analysis of Maun Watershed in Tehri – Garhwal District of Uttarakhand Using GIS”, International Journal of Geomatics and Geosciences, 3(2), 373–387.
 
19.
Pisal P.A., Yadav A.S., Chavan A.B., 2013. Morphometric Analysis of Bhogavati River Basin, Kolhapur District, Maharashtra, India. Second International Conference on Emerging Trends in Engineering, Journal of Mechanical and Civil Engineering, 1–8.
 
20.
Raghunath H.M., 2008. Hydrological principles. Published by New Age International (P) Ltd. Delhi.
 
21.
Reddy P.J.R., 2008. A textbook of hydrology. Published by University Science Press, India.
 
22.
Seth S.M., Ramasastri K.S., Rao S.V.N., 1998. Representative Basin Studies: Morphometric Analysis of Suddagedda Basin, Andra Pradesh. Published by the National Institute of Hydrology, India.
 
23.
Suresh R., 2008. Land and Water Management Principles”, Published by A.K. Jain for Standard Publishers Distributors, Delhi, India.
 
24.
Zende A.N., Nagrajan R., 2011. Drainage Morphology Approach for Water Resources Development of Sub – Watershed in Krishna Basin. International Journal of Computer & Communication Technology, 2(8), 13–21.
 
25.
Zhang X., Ball G., Guertin P., Halper E., Zhang L., 2015. Integrating GIS and Remote Sensing With Urban Hydrology. Advanced Resource Technology Group, School of Renewable Natural Resources, University of Arizona, Tucson, USA.
 
Journals System - logo
Scroll to top