Thumbnail Image

Theses

Browse

20221
Reset filters
Subject: Soil and Water Engineering × Author: Joshi, Himanshu × End date: 2022 × Start date: 2020 × Type: Thesis × Thesis Type: M.Tech. ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    ThesisItemOpen Access
    Hydrological response of a spring-fed mid-Himalayan micro-watershed using ArcSWAT
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-07) Joshi, Himanshu; Devendra, Kumar
    Morphometry and streamflow have always played a decisive role in the development of water resource programs, thus, making its quantification quite crucial. The present work attempts to determine the attributes of a spring-fed micro-watershed, i.e., Kosi R. headwaters, affecting its hydrological response via morphometric analysis, and using a hydrologic model named SWAT integrated over ArcGIS for the estimation of streamflow through facilely available topographical and hydro-meteorological data. The study area is located from latitude N29°50ʹ30ʺ to N29°52ʹ30ʺ and longitude E79°30ʹ30ʺ to E79°34ʹ30ʺ in the Almora district of Uttarakhand, with a spatial extent of 10.7 sq. km. The morphometric analysis suggests that the study area has a dendritic and sub-dendritic drainage pattern with a coarse drainage texture and large drainage density. The micro-watershed and the main channel slope are very steep (49.65 %) and steep (30.8 %), respectively, corresponding to lower infiltration and higher surface runoff with large flow velocities in the channel section. The drainage area is under the mature development stage, with the avg. HI of 0.495. The results from the SWAT and SWAT-CUP suggested that the developed model performed very well in simulating daily streamflow with the values of NSE, ɸ, and RSR of 0.88, 0.811, and 21.9 and 0.85, 0.86, and -3.8 for the calibration and validation period, respectively. Further, sensitivity analysis suggested that the curve number (CN2), available water capacity of soil layer (SOL_AWC()), and saturated hydraulic conductivity (SOL_K()) affect streamflow generation the most. The study also indicates that the surface runoff and ET are the prime processes of abstraction from the study area, with 49.79 % and 40.56 % of the annual precipitation escaping through these processes. The developed model thus provides a quantitative understanding of various hydrological processes occurring within the study area and can generate scenarios for identifying BMPs in soil and water conservation.