地形因子计算方法对土壤侵蚀评价的影响

梁晓珍; 符素华; 丁琳

doi:10.13870/j.cnki.stbcxb.2019.06.003

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地形因子计算方法对土壤侵蚀评价的影响

更新时间：2025-03-12

- 地形因子计算方法对土壤侵蚀评价的影响
- The Influence of Terrain Factors' Calculation Methods on Soil Erosion Evaluation
- 水土保持学报 2019年33卷第6期页码：21-26
- 作者机构：
  
  1. 北京师范大学地理科学学部,北京,100875
  2. 中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
- 作者简介：
  
  [ "梁晓珍(1992-),女,福建龙岩人,硕士研究生,主要从事土壤侵蚀与水土保持研究。E-mail:201821051008@mail.bnu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金项目（41571259）长江学者和创新团队发展计划项目（IRT_15R06）中国科学院"西部之光"人才培养引进计划项目
- DOI：10.13870/j.cnki.stbcxb.2019.06.003
  中图分类号：
- 纸质出版：2019
- 稿件说明：
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梁晓珍, 符素华, 丁琳. 地形因子计算方法对土壤侵蚀评价的影响[J]. 水土保持学报, 2019,33(6):21-26.

LIANG Xiaozhen, FU Suhua, DING Lin. The Influence of Terrain Factors' Calculation Methods on Soil Erosion Evaluation[J]. 2019, 33(6): 21-26.
梁晓珍, 符素华, 丁琳. 地形因子计算方法对土壤侵蚀评价的影响[J]. 水土保持学报, 2019,33(6):21-26. DOI： 10.13870/j.cnki.stbcxb.2019.06.003.

LIANG Xiaozhen, FU Suhua, DING Lin. The Influence of Terrain Factors' Calculation Methods on Soil Erosion Evaluation[J]. 2019, 33(6): 21-26. DOI： 10.13870/j.cnki.stbcxb.2019.06.003.

摘要

选取嫩江县、怀来县、吴起县、开州区、长汀县5个区域1：1万地形图，生成5 m分辨率的DEM作为数据源。分别用分段坡长法和汇流面积法计算了坡长坡度因子，并用中国土壤流失方程（CSLE）计算了土壤侵蚀模数，评价了土壤侵蚀强度，对比分析了分段坡长法和汇流面积法对坡长因子及水土流失面积的影响。结果表明：采用汇流面积法提取的坡长因子值和空间分布差异比分段坡长法更大，2种方法的低值区差异较小，高值区差异较大。2种方法计算水土流失面积比例差异不大，而在计算土壤侵蚀强度上显示出明显的差异。研究结果为不同地形区土壤侵蚀的地形因子和土壤侵蚀评价提供了数据支撑和理论基础。

Abstract

The universal soil loss equation (USLE) and Chinese soil loss equation (CSLE) are widely used for soil erosion evaluation. Different methods for calculating slope length factor could cause differences in topographic factors and soil erosion. The purpose of this study was to evaluate the effects of different methods for calculating slope length factor (L) on topographic factor and then on the soil erosion. The 1:10 000 topographic maps from five regions of Nenjiang

Wuqi

Kaixian

Huailai and Changting were selected and 5 m×5 m DEMs were generated. The segment slope length method (SSLM) and the catchment area method (CAM) were used to calculate the slope length factor. The CSLE was used to calculate soil erosion. The results showed that the average L factor value and spatial variation from the CAM were greater than those from the SSLM. The area with low L factor values had less difference and the area with high L factor value greater difference between the two methods. The proportions of soil erosion area calculated by the two methods in different terrain areas were not obviously different. However

the soil erosion intensities showed significant differences between the two methods. The results could provide data support and theoretical basis for the study of soil erosion topographic factors and soil erosion assessment in different topographic regions.

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references

李占斌,朱冰冰,李鹏.土壤侵蚀与水土保持研究进展[J].土壤学报,2008,45(9):7-9.

Wischmeier W H, Smith D D. Predicting rainfall erosion losses from cropland east of the Rocky Mountains:A guide for soil and water conservation planning[M].Agriculture Handbook No 537. Washington D C:USDA, 1978.

Renard K G, Foster G R, Weesies G A, et al. Predicting rainfall erosion by water:A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)[M].Agriculture Handbook No 730. Washington DC:USDA, 1997.

刘宝元,郭索彦,李智广,等.中国水力侵蚀抽样调查[J].中国水土保持,2013(10):26-34.

Liu B Y, Zhang K L, Xie Y. An empirical soil loss equation.ISCO Pot. Beijing:Tsinghua Press,2002:143-149.

符素华,刘宝元,周贵云,等.坡长坡度因子计算工具[J].中国水土保持科学,2015,13(5):1-10.

Foster G R, Wischmeier W H. Evaluating irregular slopes for soil loss prediction[J].Transaction of ASAE,1974,17:305-309.

Moore I D, Wilson J P. Length-slope factors for the Revised Universal Soil Loss Equation:Simplified method of estimation[J].Journal of Soil and Water Conservation,1992,47(5):423-428.

Moore I D, Burch G J. Physical basis of the length-slope factor in the Universal Soil Loss Equation[J].Soil Science Society of America Journal,1986,50(5):1294-1298.

Desmet P J, Govers G. A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units[J].Journal of Soil and Water Conservation,1996,51(5):427-433.

Böhner J, Selige T. Spatial prediction of soil attributes using terrain analysis and climate regionalisation, analysis and modeling applications[M].Göttingen:Göttinger Geographische Abhandlungen,2006.

胡刚,宋慧,刘宝元,等.黑土区基准坡长和LS算法对地形因子的影响[J].农业工程学报,2015,31(3):166-173.

胡刚,宋慧,石星军,等.基于单位汇水面积的地形因子特征评价[J].地理科学,2016,36(4):621-627.

Liu B Y, Nearing M A, Risse L M. Slope gradient effects on soil loss for steep slopes[J].Transaction of American Society of Agriculture Engineers,1974,37(6):1835-1842.

中华人民共和国水利部水土保持司.土壤侵蚀分类分级标准(SL 190-2007)[M].北京:中国水利水电出版社,2008.

Qin W, Guo Q K, Cao W H. A new RUSLE slope length factor and its application to soil erosion assessment in a Loess Plateau watershed[J].Soil and Tillage Research,2018,182:10-24.

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