Skip to main content

Integration of linear programming and a watershed-scale hydrologic model for proposing an optimized land-use plan and assessing its impact on soil conservation--A case study of the Nagwan watershed in the Hazaribagh district of Jharkhand, India

Buy Article:

$55.00 plus tax (Refund Policy)

The present investigation was an attempt to develop a Spatial Decision Support System (SDSS) for a test Nagwan watershed situated in the Damodar-Barakar catchment in India, the second most seriously eroded area in the world, for not only estimating sediment yields under prevailing resource management systems but also designing a linear programming (LP)-based optimized land-use plan for soil loss reduction in the test watershed. The proposed SDSS was validated on 9 years (1981-1983, 1985-1989, and 1991) of sediment yield data for the test watershed. This showed that the SDSS could mimic the annual dynamics of the total sediment yields at the test watershed outlet with a correlation coefficient of 0.65, model efficiency coefficient of 0.70, mean relative error of −17.97%, and root mean square prediction error of 9.63 t ha−1. It could also be used as an efficient tool for assessing sediment yields from different parts of the test watershed and for designing a linear programming (LP)-based optimized land-use plan for reduced total sediment yields from the test watershed. The LP-based land-use plan proposed no change in the total areas under paddy, corn, and forest land-use types but suggested their re-distribution within the test watershed, thereby leading to not only a reduction in the test watershed's total sediment yield by about 14.61% but also an increase in its paddy and corn crop productivities by 2.80 and 68.14%, respectively. The proposed LP-based land-use plan for the test watershed could thus lead to an enhanced productivity benefit of about Rs 3735 ha−1, in monetary terms, from corn crop cultivation at its optimal locations.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: 1: Division of Environmental Sciences Indian Agricultural Research Institute New Delhi 12 India, Email: [email protected] 2: Division of Agricultural Economics Indian Agricultural Research Institute New Delhi-16 India, Email: [email protected] 3: National Center for Agricultural Economics and Policy Research IASRI Campus New Delhi-12 India, Email: [email protected] 4: Soil Conservation Department Damodar Valley Corporation Hazaribagh-825 301, Jharkhand India, Email: [email protected] 5: Technology Bhavan, Department of Science & Technology, Ministry of Science & Technology Government of India New Delhi-16 India, Email: [email protected]

Publication date: 2004-01-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more