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Morphometric analysis of watershed using remote sensing and GIS—a case study of Nanganji River Basin in Tamil Nadu, India

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Abstract

Morphometric analysis of a river basin is essential to identify and assess seasonal changes in drainage basin characteristics, understand the groundwater potential, and address issues related to management of soil erosion due to flash floods during the high flows. Nanganji River Basin is one of the least studied seasonal river basins in India which carry substantial flows during the monsoon period. In this study, morphometry of Nanganji River Basin, located in the central Tamil Nadu prairies, has been studied using remote sensing and GIS. The interrelationship between the various morphometric factors of the basin has been studied using a correlation matrix. Factor analysis has been applied to group the individual morphometric parameters into a smaller number of factors. Further, these factors have been studied in relation to the sub-basins to understand the existing relation between the factors and the sub-basins. Finally, the study identifies environmental issues of the Nanganji River Basin mostly related to the river flow regime which widens significantly during the monsoon months.

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References

  • Agarwal CS (1998) Study of drainage pattern through aerial data in Naugarh area of Varanasi district, UP. J Indian Soc Remote Sens 26(4):169–175

    Article  Google Scholar 

  • Ali SA, Khan N (2013) Evaluation of morphometric parameters—a remote sensing and GIS based approach. Open J Mod Hydrol 03:20–27. https://doi.org/10.4236/ojmh.2013.31004

    Article  Google Scholar 

  • Aspinall R, Pearson D (2000) Integrated geographical assessment of environmental condition in water catchments: linking landscape ecology, environmental modelling and GIS. J Environ Manag 59(4):299–319

    Article  Google Scholar 

  • Bassey Eze E, Efiong J (2010) Morphometric parameters of the Calabar river basin: implication for hydrologic processes. J Geogr Geol 2. https://doi.org/10.5539/jgg.v2n1p18

  • Biswas S, Sudhakar S, Desai VR (1999) Prioritisation of subwatersheds based on morphometric analysis of drainage basin: a remote sensing and GIS approach. J Indian Soc Remote Sens 27(3):155–166

    Article  Google Scholar 

  • Chopra R, Dhiman RD, Sharma PK (2005) Morphometric analysis of sub-watersheds in Gurdaspur district, Punjab using remote sensing and GIS techniques. J Indian SocRemote Sens 33(4):531–539

    Article  Google Scholar 

  • Chorley RJ (1957) Climate and morphometry. J Geol 65:623–633

    Article  Google Scholar 

  • Chorley RJ, Donald EGM, Poguzelski MA (1957) A new standard for estimating drainage basin shape. Am J Sci 255:138–141

    Article  Google Scholar 

  • Clarke JI (1966) Morphometry from maps. Essays in geomorphology. Elsevier Publ. Co, New York, pp 235–274

    Google Scholar 

  • Conforti M, Aucelli PP, Robustelli G, Scarciglia F (2011) Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Nat Hazards 56(3):881–898

    Article  Google Scholar 

  • Corp IBM (2018) IBM SPSS Statistics for Windows. IBM Corp, Armonk, NY

    Google Scholar 

  • Dinagara Pandi P, Thena T, Nirmal B, Aswathy MR, Saravanan K, Mohan K (2017) Morphometric analyses of Neyyar River Basin, southern Kerala, India. Geol Ecol Landsc 1(4):249–256. https://doi.org/10.1080/24749508.2017.1389494

    Article  Google Scholar 

  • Ehsani AH, Quiel F (2008) Geomorphometric feature analysis using morphometric parameterization and artificial neural networks. Geomorphology 99(1):1–12

    Article  Google Scholar 

  • ESRI (2011) ArcGIS Desktop: Release 10. Environmental Systems Research Institute, Redlands

    Google Scholar 

  • Grohmann CH (2004) Morphometric analysis in geographic information systems: applications of free software GRASS and R. Comput Geosci 30(9):1055–1067

    Article  Google Scholar 

  • H. G. Solutions (2014) Envi. Exelis Visual Information Solutions: Boulder, CO, USA

  • Harvey JW, Bencala KE (1993) The effect of streambed topography on surface-subsurface water exchange in mountain catchments. Water Resour Res 29(1):89–98

    Article  Google Scholar 

  • Horton RE (1932) Drainage basin characteristics. Trans Am Geophys Union 13:350–361

    Article  Google Scholar 

  • Horton RE (1945) Erosional development of streams and their drainage basins hydrophysical approach to quantitative morphology. Bull Geol Soc Am 56:275–370

    Article  Google Scholar 

  • Jackson DA (1993) Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology. 74:2204–2214. https://doi.org/10.2307/1939574

    Article  Google Scholar 

  • Jordan G (2003) Morphometric analysis and tectonic interpretation of digital terrain data: a case study. Earth Surf Process Landf 28(8):807–822

    Article  Google Scholar 

  • Kale VS (2003) Geomorphic effects of monsoon floods on Indian rivers. In Flood Problem and Management in South Asia Springer, Dordrecht, (pp. 65–84)

    Chapter  Google Scholar 

  • Kale VS, Gupta A (2001) Introduction to geomorphology. Orient Longman

  • Kasturirangan K, Aravamudan R, Deekshatulu BL et al (1996) Indian Remote Sensing satellite IRS-1C—the beginning of a new era. Curr Sci 70:495–500

    Google Scholar 

  • Klovan JE (1975) R and Q mode factor analysis. In: R.B. Mc Cammon (ed.). Concepts in Geostatistics, Springler-Verlag : 21–69

  • Kumar R, Kumar S, Lohani AK, Nema RK, Singh RD (2000) Evaluation of geomorphological characteristics of a catchment using GIS. GIS India 9(3):13–17

    Google Scholar 

  • Lawrence FC, Upchurch SB (1982) Identification of recharge areas using geochemical factor analysis. Groundwater 20(6):680–687

    Article  Google Scholar 

  • Lhomme J, Bouvier C, Perrin JL (2004) Applying a GIS-based geomorphological routing model in urban catchments. J Hydrol 299(3):203–216

    Article  Google Scholar 

  • López-Vicente M, Navas A, Machín J (2009) Geomorphic mapping in endorheic catchments in the Spanish Pyrenees: an integrated GIS analysis of karstic features. Geomorphology 111(1):38–47

    Article  Google Scholar 

  • Magesh NS, Chandrasekar N, Soundranayagam JP (2011) Morphometric evaluation of Papanasam and Manimuthar watersheds, parts of Western Ghats, Tirunelveli district, Tamil Nadu, India: A GIS approach. Environ Earth Sci doi 64:373–381. https://doi.org/10.1007/s12665-010-0860-4

    Article  Google Scholar 

  • Melton MA (1959) A derivation of Strahler’s channel ordering. J Geol 67:345–346

    Article  Google Scholar 

  • Miller VC (1953) A quantitative geomorphic study on drainage basin characteristics in the Clinch mountain area, Virginia and Tennessee, Project NR 389-042, Technical report 3. Columbia university, New York

    Google Scholar 

  • Nag SK (1998) Morphometric analysis using remote sensing techniques in the Chaka sub-basin, Purulia district, West Bengal. J Indian Soc Remote Sens 26(1–2):69–76

    Article  Google Scholar 

  • Nag SK, Chakraborty S (2003) Influence of rock types and structures in the development of drainage network in hard rock area. J Indian Soc Remote Sens 31(1):25–35

    Article  Google Scholar 

  • NASA LP DAAC (2015) ASTER Global Digital Elevation Model (GDEM). NASA EOSDIS Land Processes DAAC, USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls (https://lpdaac.usgs.gov), accessed January 1, 2017, at https://gdex.cr.usgs.gov/gdex/

  • National Remote Sensing Agency (NRSA) (1995) Integrated mission for sustainable development

  • Obi Reddy GE, Maji AK, Gajbhiye KS (2002) GIS for morphometric analysis of drainage basins. GIS lndia 11(4):9–14

    Google Scholar 

  • Ozdemir H, Bird D (2009) Evaluation of morphometric parameters of drainage networks derived from topographic maps and DEM in point of floods. Environ Geol 56:1405–1415. https://doi.org/10.1007/s00254-008-1235-y

    Article  Google Scholar 

  • Pareta K, Pareta U (2011) Quantitative morphometric analysis of a watershed of Yamuna Basin, India using ASTER (DEM) Data and GIS. Int J Geomatics Geosci https://doi.org/10.1109/IJCNN.2014.6889368

  • Purohit M, Kaur S (2017) Rainfall Statistics of India – 2016

  • Rai PK, Mohan K, Mishra S, Ahmad A, Mishra VN (2017) A GIS-based approach in drainage morphometric analysis of Kanhar River Basin, India. Appl Water Sci doi 7:217–232. https://doi.org/10.1007/s13201-014-0238-y

    Article  Google Scholar 

  • Ratnam KN, Srivastava YK, Rao VV, Amminedu E, Murthy KSR (2005) Check dam positioning by prioritization of micro-watersheds using SYI model and morphometric analysis—remote sensing and GIS perspective. J Indian Soc Remote Sens 33(1):25–38

    Article  Google Scholar 

  • Rebai N, Achour H, Chaabouni R, Bou Kheir R, Bouaziz S (2013) DEM and GIS analysis of sub-watersheds to evaluate relative tectonic activity. A case study of the North-south axis (Central Tunisia). Earth Sci Inf 6:187–198. https://doi.org/10.1007/s12145-013-0121-7

    Article  Google Scholar 

  • Reghunath R, Murthy TRS, Raghavan BR (2002) The utility of multivariate statistical techniques in hydrogeochemical studies: An example from Karnataka, India. Water Res 36:2437–2442. https://doi.org/10.1016/S0043-1354(01)00490-0

    Article  Google Scholar 

  • Rekha BV, George AV, Rita M (2011) Morphometric analysis and micro-watershed prioritization of Peruvanthanam sub-watershed, the Manimala River Basin, Kerala, South India. Environ Res Eng Manag 57(3):6–14

    Google Scholar 

  • Schumm SA (1956) Evolution of drainage systems and slopes in badlands at Port Amboy, New Jercy. Bull Geol Soc Am 67:597–646

    Article  Google Scholar 

  • Sreedevi PD, Subrahmanyam K, Ahmed S (2005) The significance of morphometric analysis for obtaining groundwater potential zones in a structurally controlled terrain. Environ Geol 47(3):412–420

    Article  Google Scholar 

  • Strahler AN (1952) Hypsometric (area – altitude) analysis of erosional topography. Bull Geol Soc Am 63:1117–1142

    Article  Google Scholar 

  • Strahler AN (1958) Dimensional analysis applied to fluvially eroded landforms. Bull Geol Soc Am 69:279. https://doi.org/10.1130/0016-7606(1958)69[279:DAATFE]2.0.CO;2

    Article  Google Scholar 

  • Strahler AN (1964) Part II. Quantitative geomorphology of drainage basins and channel networks. Handbook of Applied Hydrology. McGraw-Hill, New York, pp 4–39

    Google Scholar 

  • Subburaj A (2008a) District Groundwater Brochure Karur District. Tamil, Nadu

    Google Scholar 

  • Subburaj A (2008b) District Groundwater Brochure Erode District. Tamil, Nadu

    Google Scholar 

  • Suresh S (2008) District Groundwater Brochure Dindigul District. Tamil, Nadu

    Google Scholar 

  • Thyne G, Güler C, Poeter E (2004) Sequential analysis of hydrochemical data for watershed characterization. Ground Water 42:711–723. https://doi.org/10.1111/j.1745-6584.2004.tb02725.x

    Article  Google Scholar 

  • Vittala SS, Govindaiah S, Gowda HH (2004) Morphometric analysis of sub-watersheds in the Pavagada area of Tumkur district, South India using remote sensing and GIS techniques. J Indian Soc Remote Sens 32(4):351–362

    Article  Google Scholar 

  • Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244. https://doi.org/10.1080/01621459.1963.10500845

    Article  Google Scholar 

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Acknowledgements

We are very grateful to IBM Corporation for providing online version of IBM SPSS Statistics for the necessary computations.

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Authors and Affiliations

  1. Geographic Information Systems, NIIT University, Neemrana, Rajasthan, India

    Pandian Mangan, Mohd Anul Haq & Prashant Baral

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  1. Pandian Mangan
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  2. Mohd Anul Haq
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Correspondence to Pandian Mangan.

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Editorial handling: O. Kisi

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Mangan, P., Haq, M.A. & Baral, P. Morphometric analysis of watershed using remote sensing and GIS—a case study of Nanganji River Basin in Tamil Nadu, India. Arab J Geosci 12, 202 (2019). https://doi.org/10.1007/s12517-019-4382-4

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