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黑龙江省土壤流失方程的研究
引用本文:张宪奎,许靖华,卢秀琴,邓育江,高德武.黑龙江省土壤流失方程的研究[J].水土保持通报,1992,12(4):1-9,18.
作者姓名:张宪奎  许靖华  卢秀琴  邓育江  高德武
作者单位:黑龙江省水土保持科学研究所 黑龙江省 宾县 150400;黑龙江省水土保持科学研究所 黑龙江省 宾县 150400;黑龙江省水土保持科学研究所 黑龙江省 宾县 150400;黑龙江省水土保持科学研究所 黑龙江省 宾县 150400;黑龙江省水土保持科学研究所 黑龙江省 宾县 150400
摘    要:通过对7年大量试验数据的统计分析,建立了黑龙江省土壤流失方程(简称方程)A=RKLSCP。并确定了方程中诸因子的求算方法和数值及黑龙江省土壤允许流失量,为方程的应用提供了必要的技术数据;还进行了方程的验证,其方程计算值与实测值准确率在90%以上,证明方程在实际应用中具有较大的可靠性。该方程的建立,为监测预报水土流失及制定水土保持规划提供了一整套的科学方法和依据。

关 键 词:土壤流失方程  降雨  侵蚀力  R指标
收稿时间:1992/2/16 0:00:00

A Study on the Soil Loss Equation in Heilongjiang Province
Zhang Xiankui,Xu Linghu,Lu Xiuqin,Deng Yujiang and Gao Dewu.A Study on the Soil Loss Equation in Heilongjiang Province[J].Bulletin of Soil and Water Conservation,1992,12(4):1-9,18.
Authors:Zhang Xiankui  Xu Linghu  Lu Xiuqin  Deng Yujiang and Gao Dewu
Institution:Institute of Soil and Water Conservation of Heilongjiang Province, Bin County, Heilongjiang, 150400;Institute of Soil and Water Conservation of Heilongjiang Province, Bin County, Heilongjiang, 150400;Institute of Soil and Water Conservation of Heilongjiang Province, Bin County, Heilongjiang, 150400;Institute of Soil and Water Conservation of Heilongjiang Province, Bin County, Heilongjiang, 150400;Institute of Soil and Water Conservation of Heilongjiang Province, Bin County, Heilongjiang, 150400
Abstract:By means of the statistical analysis of a large amount experimental data over 7 years, the soil loss equation in Heilongjiang province has been developed as follows, A=RKLSCP. The algorithm and data for every factor in the equation as well as the capacity for permitable loss of soil in Heilongjiang province have been determined, which provided the necessary technological data for furture use of the equation. At the same tune, the authors have made a test to the equation. The results indicate that the data accuracy by calcultaing exceeds 900o when compared with the practical data, and which proved that the equation may has a higher reliablity in furture application, The development of the equation may provide a series of scientific methods and base for monitoring and predicting soil and water loss, and for working out programmes of soil and water conservation,
Keywords:soil loss equation  rainfall erosive force  index of R  the apacityfor permitable loss of soil
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