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首页> 外文期刊>Environmental Modeling & Assessment >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
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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

机译：比较主观和物理方法识别流域水土保持优先领域的方法-以印度贾坎德邦哈扎里巴格区那格旺流域为例

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摘要

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 withgood 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.
机译：本研究试图将基于SDSS的物理模型与传统上针对流域间优先级设计的基于SYI和RPI模型的主观SDSS的流域内优先级功能进行比较，该方法由印度全印度土壤调查和土地利用规划部印度政府农业部。这两种方法在位于印度第二大侵蚀严重地区印度达莫达-巴拉卡河集水区的测试流域中的应用表明，所建议的基于物理模型的SDSS能够在现实和逻辑上模拟次流域规模的水以及土壤流失，从而表明其在测试流域内确定优先区域的巨大应用潜力。与提出的物理方法相比，主观方法无法将真实的优先级分配给约67-93％的测试子集水区，但它们无法现实地评估地形的影响以及各种土地利用和土壤类型在试验分水岭中，其分水岭的径流和土壤流失的产生潜力很大。此外，在试验流域的现行资源管理系统下，可采用物理方法评估总水和沉积物产量的年度动态，相关系数的相关系数分别为0.83和0.65，好到中好。模型效率系数分别为0.54和0.70;平均相对误差分别为-4.28％和-17.97％，均方根预测误差分别为71.8 mm和9.63 t / ha。

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