Morphometric Analysis of Dhasan River Basin, Madhya Pradesh, India, Using Remote Sensing and Arc GIS Techniques

Authors

  • Kaushar Ali Department of Geology, Government Maharaja P.G. College, Chhatarpur, MP 471001, India
  • Gyanendra Pratap Singh Department of Geology, Government Maharaja P.G. College, Chhatarpur, MP 471001, India

DOI:

https://doi.org/10.48048/tis.2022.4182

Keywords:

Arc GIS, Remote sensing, Morphometric analysis, Dhasan basin, SRTM DEM

Abstract

The morphometric study of a basin is essential for a better understanding of the geological nature and groundwater conditions of that area. This study emphasizes on the identification of the types of drainage pattern determined by Arc GIS technology and computation of various parameters of morphometric analysis. The scarcity of water for irrigation and domestic purposes is the major issue in the Dhasan river area. The drainage network has been prepared from the SRTM DEM (30 m) using hydrology tools of Arc GIS 10.2.2. The GIS techniques have been used to evaluate various morphometric aspects which include linear, aerial and relief parameters. The field of research shows a dendritic drainage pattern because the entire area is a hard rock formation. The basin drainage density is 1.13, suggesting a very coarse grain texture that demonstrates homogeneous rock type and low surface runoff. This study incorporates the probability of the suitability of hydrogeological conditions that can be taken care of to use groundwater for domestic, industrial and irrigation purposes.

HIGHLIGHTS

  • SRTM DEM (30 m) has been used to prepare a map and to measure relief characteristics of the Dhasan basin
  • Using Arc GIS 10.2.2 hydrology tools, various morphometric parameters have been computed
  • Quantitative evaluation of the region helps identify the drainage network, location of the region, slope, topographic relief and other characteristics

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References

JU Rao and V Babu. A quantitative morphometric analysis of Gundalakamma River Basin, Andhra Pradesh. Indian J. Earth Sci. 1995; 22, 63-74.

S Kuntamalla, M Nalla and PR Saxena. Morphometric analysis of drainage basin through GIS : A case study from morphometric analysis of drainage basin through GIS : A case study from South Western part of Rangareddy District, Telangana State, India. In: Proceedings of the 11th International Conference on Researches in Science, Technology and Management, Hyderabad, India. 2018, p. 19-30.

R Singh, JK Thakur and UC Singh. Morphometric analysis of Morar River Basin, Madhya Pradesh, India, using remote sensing and GIS techniques. Environ. Earth Sci. 2013; 68, 1967-77.

P Sharma, MM Singh and A Sharma. Morphometric analysis of sukhnai river with the help of remote sensing data and Arc-GIS in Bundelkhand Region, Central India. Int. J. Creativ. Res. 2018; 6, 788-801.

US Neelambika, P Balakrishnan, BS Polisgowdar and K Basavaraj. Morphometric analysis of Tengli micro-watershed using remote sensing and GIS. J. Civ. Eng. Environ. Tech. 2017; 4, 17-22.

K Prakash, T Mohanty, S Singh, K Chaubey and P Prakash. Drainage morphometry of the Dhasan river basin, Bundelkhand craton, central India using remote sensing and GIS techniques. J. Geomatics 2016; 10, 121-32.

C Chitra, P Alaguraja and K Ganeshkumari. Watershed characteristics of Kundah sub basin using remote sensing and GIS techniques. Int. J. Geomatics Geosci. 2011; 2, 311-35.

S Vyas and GP Singh. Morphometric analysis of hard rock terrain of Banne Watershed, District Chhatarpur, Madhya Pradesh, India, using remote sensing and GIS. 2020; 11, 714-21.

AN Strahler. Handbook of applied hydrology. In: VT Chow (Ed.). Quantitative geomorphology of drainage basins and channel networks. McGraw Hill, New York, 1964, p. 4-39.

IM Kinchin. Orphometric analysis. Zool. J. Linn. Soc. 1993; 116, 51-60.

AN Strahler. Handbook of applied hydrology. Quantitative geomorphology of drainage basins and channel networks. McGraw Hill, New York, 1958, p. 439-76.

V Mandale and R Bansod. Quantitative morphometric analysis of the Adula watershed, in Ahmednagar Maharashtra using the ESRI-ArcGIS tool. Asian Arch. 2019; 36, 1-10.

H Chandrashekar, KV Lokesh and M Sameena. GIS-based morphometric analysis of two reservoir catchments of Arkavati River, Ramanagaram District, Karnataka. Aquat. Procedia 2015; 4, 1345-53.

RE Horton. Drainage basin characteristics. Am. Geophys. Union 1932; 13, 350-61.

S Kumar and BS Chaudhary. GIS applications in morphometric analysis of Koshalya-Jhajhara watershed in northwestern India. J. Geol. Soc. India 2016; 88, 585-92.

S Sukristiyanti, R Maria and H Lestiana. Watershed-based morphometric analysis: A review. IOP Conf. Ser. Earth Environ. Sci. 2018; 118, 012028.

KG Smith. Standards for grading texture of erosional topography. Am. J. Sci. 1950; 248, 655-68.

A Javed, MY Khanday and R Ahmed. Prioritization of sub-watersheds based on morphometric and land use analysis using remote sensing and GIS techniques. J. Indian Soc. Rem. Sens. 2009; 37, 261-74.

SA Schumm. Sinuosity of alluvial rivers on the Great Plains. Geol. Soc. Am. Bull. 1963; 74, 1089-100.

KM Deepak. The basic concept to study morphometric analysis of river Drainage basin: A review. Int. J. Sci. Res. 2013; 4, 2277-80.

VC Miller. 1953, A quantitative geomorphic study of Drainage basin characteristics in the Clinch mountain area, Virginia and Tennessee. Ph. D. Dissertation. Columbia University, New York.

SA Schumm. Evolution of Drainage systems and slopes in badlands at Perth Amboy. Geol. Soc. Am. Bull. 1956; 67, 597-646.

AN Strahler. Quantitative geomorphology. In: RW Fairbridge (Ed.). The encyclopedia of geomorphology, Reinhold Book, New York, 1968.

D Sarkar, P Mondal, S Sutradhar and P Sarkar. Morphometric analysis using SRTM-DEM and GIS of Nagar river basin, Indo-Bangladesh barind tract. J. Indian Soc. Rem. Sens. 2020; 48, 597-614.

D Sarkar and P Mondal. Flood vulnerability mapping using frequency ratio (FR) model: A case study on Kulik river basin, Indo-Bangladesh Barind region. Appl. Water Sci. 2020; 10, 17.

SA Ali, R Khatun, A Ahmad and SN Ahmad. Application of GIS based analytic hierarchy process and frequency ratio model toflood vulnerable mapping and risk area estimation at Sundarban region, India. Model. Earth Syst. Environ. 2019; 5, 1083-102.

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Published

2022-05-13