Soil Loss Prediction and Prioritization Based on Revised Universal Soil Loss Estimation (Rusle) Model Using Geospatial Technique

Naqvi, H.R. and Devi, L.M. and Siddiqui, M.A. (2012) Soil Loss Prediction and Prioritization Based on Revised Universal Soil Loss Estimation (Rusle) Model Using Geospatial Technique. International Journal of Environmental Protection, 2 (3). pp. 39-43.

[img] PDF - Published Version
Restricted to ICRISAT researchers only

Abstract

Watershed prioritization plays a key role in planning and management of sustainable development programmes. The study area, Nun Nadi watershed, is located in Doon Valley which is prone to high erosion. The present study aims to identify the soil loss estimation, to prioritize the micro watersheds on the basis of mean soil loss values and to suggest best conservation measures for the Nun Nadi watershed employing Revised Universal Soil Loss Estimation (RUSLE) model. Approximately 23 km2 area comprising 7 micro watersheds was classified as very high and high priority risk zones. These micro watersheds demand immediate attention in terms of management and planning perspective. This micro level study provides accurate results in the context of soil loss prediction.

Item Type: Article
Additional Information: We are thankful to Dr. Suresh Kumar of IIRS Dehradun for his consistent support.
Uncontrolled Keywords: Watershed Management; RUSLE; Soil Loss; Sustainable Development; Prioritization; Conservation and Nun Nadi Watershed
Author Affiliation: Department of Geography, Jamia Millia Islamia (A Central University), Maulana Mohammad Ali Jauhar Marg, New Delhi, India-110025
Subjects: Plant Protection
Soil Science and Microbiology > Soil Sciences
Divisions: General
Depositing User: Mr. SanatKumar Behera
Date Deposited: 29 Mar 2012 06:19
Last Modified: 29 Mar 2012 06:21
Official URL: http://www.ij-ep.org/paperInfo.aspx?ID=84
URI: http://eprints.icrisat.ac.in/id/eprint/4337

Actions (login required)

View Item View Item