Prioritization of watershed through morphometric parameters: a PCA-based approach

Remote sensing (RS) and Geographic Information Systems (GIS) techniques have become very important these days as they aid planners and decision makers to make effective and correct decisions and designs. Principal Component Analysis (PCA) involves a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables. It reduces the dimensionality of the data set and identifies a new meaningful underlying variable. Morphometric analysis and prioritization of the sub-watersheds of Shakkar River Catchment, Narsinghpur district in Madhya Pradesh State, India, is carried out using RS and GIS techniques as discussed in Gajbhiye et al. (Appl Water Sci 4(1):51–61, 2013b). In this study we apply PCA technique in Shakkar River Catchment for redundancy of morphometric parameters and find the more effective parameters for prioritization of the watershed and discuss the comparison between Gajbhiye et al. (Appl Water Sci 4(1):51–61, 2013b) and the present prioritization scheme.

[1]  Jay Krishna Thakur,et al.  Morphometric analysis of Morar River Basin, Madhya Pradesh, India, using remote sensing and GIS techniques , 2013, Environmental Earth Sciences.

[2]  Ashish Pandey,et al.  Simplified sediment yield index model incorporating parameter curve number , 2015, Arabian Journal of Geosciences.

[3]  R. Horton Drainage‐basin characteristics , 1932 .

[4]  S. Shrestha,et al.  Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan , 2007, Environ. Model. Softw..

[5]  M. D. Nautiyal,et al.  Morphometric analysis of a drainage basin using aerial photographs: A case study of Khairkuli basin, district Dehradun, U.P. , 1994 .

[6]  Ashish Pandey,et al.  Relationship between SCS-CN and Sediment Yield , 2014, Applied Water Science.

[7]  S. Sharma,et al.  Prioritization of Watershed through Sediment Yield Index Using RS and GIS Approach , 2014 .

[8]  R. Horton EROSIONAL DEVELOPMENT OF STREAMS AND THEIR DRAINAGE BASINS; HYDROPHYSICAL APPROACH TO QUANTITATIVE MORPHOLOGY , 1945 .

[9]  Sarita Gajbhiye,et al.  Application of Principal Components Analysis for Interpretation and Grouping of Water Quality Parameters , 2015 .

[10]  Sarita Gajbhiye,et al.  Morphometric Analysis of a Shakkar River Catchment Using RS and GIS , 2015 .

[11]  S. K. Nag Morphometric analysis using remote sensing techniques in the chaka sub-basin, purulia district, West Bengal , 1998 .

[12]  P. Praus Water quality assessment using SVD-based principal component analysis of hydrological data , 2006 .

[13]  J. S. Samra,et al.  Prioritizing erosion-prone areas in hills using remote sensing and GIS — a case study of the Sukhna Lake catchment, Northern India , 2001 .

[14]  V. C. Miller,et al.  quantitative geomorphic study of drainage basin characteristics in the Clinch Mountain area, Virginia and Tennessee , 1953 .

[15]  A. N. Strahler Quantitative analysis of watershed geomorphology , 1957 .

[16]  V. P. Gupta,et al.  Watershed prioritization using remote sensing and geographical information system: a case study from Guhiya, India , 2001 .

[17]  S. Govindaiah,et al.  Morphometric analysis of sub-watersheds in the pavagada area of Tumkur district, South India using remote sensing and gis techniques , 2004 .

[18]  Ashish Pandey,et al.  Hypsometric analysis of Shakkar river catchment through geographical information system , 2014, Journal of the Geological Society of India.

[19]  Sarita Gajbhiye,et al.  USE OF GEOGRAPHICAL INFORMATION SYSTEM IN HYPSOME- TRIC ANALYSIS OF KANHIYA NALA WATERSHED , 2013 .

[20]  Ashish Pandey,et al.  Estimation of design runoff curve numbers for Narmada watersheds (India) , 2013 .

[21]  Y Ouyang,et al.  Assessment of seasonal variations in surface water quality. , 2006, Water research.

[22]  Rizwan Ahmed,et al.  Prioritization of sub-watersheds based on morphometric and land use analysis using remote sensing and GIS techniques , 2009 .

[23]  Y. Srivastava,et al.  Check dam positioning by prioritization of micro-watersheds using SYI model and morphometric analysis — Remote sensing and GIS perspective , 2005 .

[24]  Prafull Singh,et al.  Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques , 2014 .

[25]  W. Langbein,et al.  Topographic characteristics of drainage basins , 1947 .

[26]  P. Sharma,et al.  Morphometric analysis of sub-watersheds in Gurdaspur district, Punjab using remote sensing and GIS techniques , 2005 .

[27]  S. Schumm EVOLUTION OF DRAINAGE SYSTEMS AND SLOPES IN BADLANDS AT PERTH AMBOY, NEW JERSEY , 1956 .

[28]  V. R. Desai,et al.  Prioritisation of subwatersheds based on morphometric analysis of drainage basin: a remote sensing and gis approach , 1999 .

[29]  Sarita Gajbhiye,et al.  Application of principal component analysis in grouping geomorphic parameters of a watershed for hydrological modeling , 2015, Applied Water Science.

[30]  S. K. Sharma,et al.  Assessing Vulnerability to Soil Erosion of a Watershed of Tons River Basin in Madhya Pradesh using Remote Sensing and GIS , 2014 .

[31]  S. Mishra,et al.  Application of NRSC-SCS curve number model in runoff estimation using RS & GIS , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[32]  Ashish Pandey,et al.  Prioritizing erosion-prone area through morphometric analysis: an RS and GIS perspective , 2014, Applied Water Science.