Determination of Units for Various Factors of Revised Universal Soil Loss Equation

ZHOU Lai; LI Yanjie; SUN Yujun

doi:10.13961/j.cnki.stbctb.2018.01.030

您当前的位置：

首页 >

文章列表页 >

Determination of Units for Various Factors of Revised Universal Soil Loss Equation

- Determination of Units for Various Factors of Revised Universal Soil Loss Equation
- Bulletin of Soiland Water Conservation Vol. 38, Issue 1, Pages: 169-174(2018)
- 作者机构：
  
  省部共建森林培育与保护教育部重点实验室北京林业大学林学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.01.030
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
ZHOU Lai, LI Yanjie, SUN Yujun. Determination of Units for Various Factors of Revised Universal Soil Loss Equation[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 169-174.
DOI：

ZHOU Lai, LI Yanjie, SUN Yujun. Determination of Units for Various Factors of Revised Universal Soil Loss Equation[J]. Bulletin of Soiland Water Conservation, 2018, 38(1): 169-174. DOI： 10.13961/j.cnki.stbctb.2018.01.030.

摘要

[目的

]

明确和规范修正的通用土壤流失方程（RUSLE）中各因子的单位，使得RUSLE在中国具体应用过程中更加科学和便捷。[方法

]

通过对国内外RUSLE应用实践的总结和对比研究，并分析其科学合理性，找出最为普遍应用的、准确的RUSLE各因子的单位，明确不同单位类型之间的转化系数。[结果

]

国内RUSLE的应用，大部分是通过各地区建立的各因子统计模型转换成国际制单位系统，最后相乘得到的是以国际制单位表示的土壤侵蚀量，另一部分则是通过相应的各因子统计模型计算得到各个因子以美制单位系统表示的计算结果，最后再乘以224.2将土壤侵蚀量转换为国际制单位。国内主流侵蚀估计中使用的单位焦耳系统，单位面积有两种即km

和hm

。土壤流失量A常用的国际制单位为t/hm

或t/km

；降雨侵蚀力因子R常用的国际制单位为（MJ·mm）/（hm

·h·a）或（MJ·mm）/（km

·h·a）；土壤可蚀性因子K的常用国际制单位为（t·hm

·h）/（hm

·MJ·mm）或（t·km

·h）/（km

·MJ·mm）。不同地区建立的计算方法通过相应的转换系数转换成国际制单位。最后，R和K因子的单位系统的一致性是RUSLE应用的关键步骤。[结论

]

R和K因子通过相应的单位转换系数转换为国际制单位以及两者的单位一致性是土壤侵蚀评估的重要基础。

Abstract

[Objective] To clarify and standardize the units of the revised universal soil loss equation (RUSLE)

we aim to make RUSLE more useful in China.[Methods] By comparing the studies of RUSLE at home and abroad

we determined the most widely applied and accurate units of RUSLE factors and clarified the conversion coefficient between different units.[Results] The application of RUSLE in China

most of the statistical model established by regional units were converted to international units system by multiplying the conversion factor

and finally obtained the amount of soil erosion in international units. The others were the results of various factors represented by US units system through each factor of the corresponding statistical model calculation

the amount of soil erosion in the international system of units was obtained by multiplied by 224.2. The Joule unit system was widely used in the erosion estimation in China

and there were two area units

namely km2 and hm2. The unit of soil loss amount A was commonly used by international units as t/ha (t/hm2) or t/km2

the rainfall erosivity factor R was (MJ·mm)/(hm2·h·a) or (MJ·mm)/(km2·h·a)

the soil erodibility factor K was (t·hm2·h)/(hm2·MJ·mm) or (t·km2·h)/(km2·MJ·mm). The results of calculation methods established in different regions were converted into international units through the corresponding conversion coefficients. The consistency of the unit system of R and K factors was a critical step in the RUSLE application.[Conclusion] The conversion of R and K factors into international units through the corresponding unit conversion coefficient and the unit consistency of the two factors is the important basis for soil erosion assessment.

关键词

Keywords

references

吴傲.土壤侵蚀对区域可持续发展影响研究[D].北京:北京大学,2014.

Renard K G, Foster G R, Weesies G A, et al. RUSLE:revised universal soil loss equation[J]. Journal of Soil & Water Conservation, 1991,46(1):30-33.

Young R A, Onstad C A, Bosch D D, et al. AGNPS:A non-point-source pollution model for evaluating agricultural Watersheds[J]. Journal of Soil & Water Conservation, 1989,44(2):168-173.

Sadeghi S H R, Mizuyama T. Applicability of the modified universal soil loss equation for prediction of sediment yield in Khanmirza watershed, Iran[J]. International Association of Scientific Hydrology Bulletin, 2007, 52(5):1068-1075.

Zhu Mingyong. Soil erosion assessment using USLE in the GIS environment:A case study in the Danjiangkou Reservoir Region, China[J]. Environmental Earth Sciences, 2015,73(12):7899-7908.

Perovic V, Životic L, Kadovic R, et al. Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia[J]. Environmental Earth Sciences, 2013,68(1):115-128.

Mhangara P, Kakembo V, Lim K J. Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing[J]. Environmental Earth Sciences, 2012,65(7):2087-2102.

Liu Baoyuan, Zhang Keli, Xie Yun. An Empirical Soil Loss Equation[C]//Process of 12th ISCO Conference, Process of Erosion and its Environmental Effects(Ⅱ). Beijing:Tsinghua Press, 2002:21-25.

Wischmeier W H, Smith D D. Predicting rainfall erosion losses:A guide to conservation planning[J]. USDA:Handbook, 1978.

Mitchell J K, Bubenzer G D. Soil loss estimation[J]. John Wiley & Sons, 1980(1):17-62.

Foster G R, Mccool D K, Renard K G, et al. Conversion of the universal soil loss equation to SI Metric Units[J]. Journal of Soil & Water Conservation, 1981,36(6):355-359.

肖洋,欧阳志云,徐卫华,等.基于GIS重庆土壤侵蚀及土壤保持分析[J].生态学报,2015,35(21):7130-7138.

孙禹,哈斯额尔敦,杜会石.基于GIS的东北黑土区土壤侵蚀模数计算[J].中国水土保持科学,2015,13(1):1-7.

陈龙,谢高地,裴厦,等.澜沧江流域生态系统土壤保持功能及其空间分布[J].应用生态学报,2012,23(8):2249-2256.

陈思旭,杨小唤,肖林林,等.基于RUSLE模型的南方丘陵山区土壤侵蚀研究[J].资源科学,2014,36(6):1288-1297.

任坤,梅琨,朱慧敏,等.基于RUSLE模型的珊溪水库流域土壤侵蚀定量估算[J].生态学杂志,2015,34(7):1950-1958.

傅水龙,梁娟珠,黄路平.基于RUSLE模型的长汀县水土流失评估[J].水土保持通报,2016,36(1):196-200.

Tang Qing, Xu Yong, Bennett S J, et al. Assessment of soil erosion using RUSLE and GIS:A case study of the Yangou watershed in the Loess Plateau, China[J]. Environmental Earth Sciences, 2015,73(4):1715-1724.

周伏建,黄炎和.福建省降雨侵蚀力指标

值[J].水土保持学报,1995,9(1):13-18.

吴素业.安徽大别山区降雨侵蚀力指标的研究[J].中国水土保持,1992(2):32-33.

马志尊.应用卫星影象估算通用土壤流失方程各因子值方法的探讨[J].中国水土保持,1989(3):24-27.

伍育鹏,谢云,章文波.国内外降雨侵蚀力简易计算方法的比较[J].水土保持学报,2001,15(3):31-34.

Wischmeier W H. Soil-erodibility evaluations for soils on the runoff and erosion stations[J]. Soil Science Society of America Proceedings, 1963,27(5):590-592.

Sharpley A N, Williams J R. EPIC-erosion/productivity impact(calculator 2):User manual[J]. Technical Bulletin-United States Department of Agriculture, 1990,4(4):206-207.

方广玲,香宝,赵卫,等.基于GIS和RUSLE的拉萨河流域土壤侵蚀研究[J].水土保持学报,2015,29(3):6-12.

吕喜玺,沈荣明.土壤可蚀性因子

值的初步研究[J].水土保持学报,1992,6(1):63-70.

方纲清,阮伏水.福建省主要土壤可蚀性特征初探[J].亚热带水土保持,1997(2):19-23.

张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.

Views

2593

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Impacts of rainfall and vegetation on soil erosion in Dabie Mountains forest reform area

Simulation of soil erosion resistance and soil erosion process in arid valley region of southeastern Xizang Autonomous Region

Soil erosion in northern foothills of Qinling Mountains （Xi’an section） from 2010 to 2023

Research progress on soil amendments for controlling soil erosion in red soil region of southern China

Comprehensive prevention and control of soil and water loss in Pinglu Canal spoil ground based on UAV photography measurement

Related Author

Li Gao

Luo Minxuan

Huo Zhitao

Chen Rui

Peng Yi

Wu Xin

Li Zhen

Xiang Kui

Related Institution

Changsha General Survey of Natural Resources Center， China Geological Survey， Ningxiang

Huangshan Observation and Research Station for Land-water Resources

School of Soil and Water Conservation， Beijing Forestry University

Key Laboratory of;Soil and Water Conservation and Desertification Control， Ministry of Education， Beijing Forestry University

Soil and Water Conservation Bureau of the Xizang Autonomous Region，， Xizang

⁰