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首页> 外文期刊>Indian Journal of Soil Conservation >Applicability of USLE to predict soil erosion under sub-tropical climate of India.
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Applicability of USLE to predict soil erosion under sub-tropical climate of India.

机译：USLE在印度亚热带气候下预测土壤侵蚀的适用性。

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Soil loss was directly measured on four runoff plots, 25 m in length, in Kanpur, Uttar Pradesh, northern India for 3 years (1969-71). Treatments in the runoff plots include: (T1) cultivation along the slope; (T2) contour tillage; (T3) T1 with N60P30 fertilizer application; and (T4) T2 with N60P30 fertilizer application. Sorghum vulgare [S. bicolor] was grown in the study area. Soil loss was also predicted using USLE by estimating the values of R from rainfall by the equation R=71.9+0.361x rainfall, K from soil erodibility nomograph and LS from topographic factor nomograph of Wischmeier and coworkers. The C factor for jowar was taken as 0.629 and the P factors for contours and fertilizer application were computed from the runoff soil loss data. Based on the average of the 3-year data, soil loss from the runoff plots was 13.63 t ha-1 for T1, which was reduced to 6.591 ha-1 in T2. Soil loss was 10.491 ha-1 in T3, which was reduced to 5.34 t ha-1 in T4. The predicted average soil loss from USLE for 3 years was 29% higher than the observed soil loss from runoff plots in all treatments. Year to year deviation ranged between 25 and 32%. The deviation was 29% higher in the nomograph predicted values of K over the experimental values from runoff plots. This study emphasizes the need to standardize the K and LS factors against runoff soil loss experiments to enhance the usefulness of USLE for prediction of soil erosion under the soil and climatic conditions of India.
机译：在印度北部北方邦坎普尔的4个径长25 m的径流地块上，连续3年（1969-71年）直接测量了土壤流失。径流区的处理包括：（T1）沿坡耕种; （T2）等高耕作; （T3）施用N 60 P 30 肥料的T1; N 60 P 30 施肥的（T4）T2。 高粱 [ S。双色]生长在研究区域。还使用USLE通过以下公式预测土壤流失：通过方程R = 71.9 + 0.361x降雨估算降雨的R值，通过土壤易蚀性标线图估算K，从Wischmeier及其同事的地形因子标线图估算LS。 Jowar的C因子为0.629，轮廓和施肥的P因子由径流土壤流失数据计算得出。根据3年平均值，T1径流区的土壤流失为13.63 t ha -1 ，T2减少为6.591 ha -1 。 T3土壤流失量为10.491 ha -1 ，T4土壤流失量减少至5.34 t ha -1 。在所有处理中，USLE预测的3年平均土壤流失率比径流图上观察到的土壤流失率高29％。年度偏差在25％至32％之间。与径流图的实验值相比，K的方程式图预测值的偏差高29％。这项研究强调有必要针对径流土壤流失实验标准化K和LS因子，以增强USLE在印度土壤和气候条件下预测土壤侵蚀的有用性。

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