首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Comparison of a Subjective and a Physical Approach for Identification of Priority Areas for Soil and Water Management in a Watershed – A Case Study of Nagwan Watershed in Hazaribagh District of Jharkhand, India
Authors:Ravinder Kaur  Omvir Singh  R Srinivasan  SN Das  Kamal Mishra
Institution:(1) Division of Environmental Sciences, Indian Agricultural Research Institute, New Delhi, 12, India;(2) Texas Agricultural Experiment Station, Blackland Research Center, Temple, Texas 76502, USA;(3) All India Soil Survey & Land use Planning, Ministry of Agriculture, Govt. of India, India;(4) Department of Soil Conservation, Damodar Valley Corporation, Hazaribagh, Jharkhand, India
Abstract:The present investigation was an attempt to compare the within-watershed prioritization capabilities of a physical model based SDSS with the SYI and RPI model based subjective-SDSS, conventionally devised for between-watershed prioritizations, by All India Soil Survey and Land Use Planning Division of Ministry of Agriculture, Government of India. Application of these two approaches on a test watershed situated in Damodar-Barakar catchment in India, the second most seriously eroded area in the world, demonstrated that the proposed physical model based SDSS was capable of realistically and logically mimicking the sub-watershed-scaled water and soil losses thereby suggesting its immense application potential for priority area identification within the test watershed. In contrast to the proposed physical method, the subjective approaches, which assigned totally reverse priorities to about 67–93% of the test-sub-watersheds, were observed to be incapable of realistically assessing the impact of topography and varied land use and soil types in the test watershed on their sub-watershed scaled run-off and soil loss generating potential. Besides, the physical approach could be used for assessing the annual dynamics of the total water and sediment yields, under prevailing resource management systems in the test watershed with good to moderately good correlation coefficients of 0.83 and 0.65; model efficiency coefficients of 0.54 and 0.70; mean relative errors of –4.28% and –17.97% and root mean square prediction errors of 71.8 mm and 9.63 t/ha, respectively.
Keywords:Damodar-Barakar catchment  SWAT  watershed prioritization  water yield  sediment yield  run-off  soil loss
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号