• MOUSUMI ROY
• SUJIT MANDAL

Morphometric analysis is important in any hydrological investigation and it is inevitable in the development and management of drainage basin. In the present paper, an attempt has been made to study the morphometric parameters of the Sobha micro-watershed in Purulia, West Bengal. To know the watershed dynamics and manage those in terms of drought and flash flood reduction of a plateau river (Sobha River) and to manage soil erodibility and groundwater potentiality; we have taken the aforesaid watershed for our case study. For this study, hydrology-based GIS functions have been used in the evaluation of linear, aerial, and relief morphometry of the Sobha watershed. Several 11 morphometric indices have been generated for all the sub-watersheds to understand the geomorphological behavior of the Sobha watershed. The total area of the basin is 137 Sq.km and lies between 22º42'19"N to 23º42'00"N latitude and 85º49'19"E to 86º54'25"E longitude. Poor soil cover, sparse vegetation, low amount of rainfall, and lack of soil moisture characterize the study area for most of the year. So the entire study area has been further divided into 37 sub-watersheds, named MWS 1, MWS 2…..MWS 37 ranges in several geographical areas. The drainage density values of sub-watersheds MWS 10, 14, 16, 23, and 24 indicate that it has highly resistant power with dense vegetative cover and high relief. The elongation ratio varies from 12.44 to 77.89 which indicates very rugged terrain and steep ground slope. The composite score values are calculated and the sub-watersheds 7, 15, 16, 21, 23, 27, 34 and 36 has a minimum composite score value of 1, 2, 5, 11, 12, 20, 27, 28, 30, and 31 is likely to be subjected to maximum soil erosion and susceptible to natural hazards. Hence this maximum vulnerable watershed should be provided with immediate soil conservation techniques.

Morphometric Analysis, Geospatial techniques, Machine learning, Sub-watersheds Prioritization

"Sub watershed Prioritization Based on Morphometric Techniques and Machine Learning Approaches in The Sobha River Basin Using Geospatial Techniques, India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.227-243, January-2019, Available :http://www.jetir.org/papers/JETIR1901I29.pdf

"Sub watershed Prioritization Based on Morphometric Techniques and Machine Learning Approaches in The Sobha River Basin Using Geospatial Techniques, India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp227-243, January-2019, Available at : http://www.jetir.org/papers/JETIR1901I29.pdf