基于连环替代法的三江源地区土壤侵蚀评价及其影响因素分析

doi:10.14088/j.cnki.issn0439-8114.2019.12.016

湖北农业科学 ›› 2019, Vol. 58 ›› Issue (12): 69-73.doi: 10.14088/j.cnki.issn0439-8114.2019.12.016

基于连环替代法的三江源地区土壤侵蚀评价及其影响因素分析

杨雪琴, 贺倩, 刘恩勤

成都理工大学地球科学学院,成都 610000

收稿日期:2019-03-21 出版日期:2019-06-25 发布日期:2019-12-05
通讯作者: 刘恩勤（1984-）,女,湖北随州人,讲师,（电话）18584805870（电子信箱）liuenqin@qq.com。
作者简介:杨雪琴（1998-）,女,四川绵阳人,在读本科生,（电话）17748499450（电子信箱）928404916@qq.com。
基金资助:
中国科学院战略性先导科技专项（A类）项目（A-XDA20030301）; 成都理工大学2018—2020年高等教育人才培养质量和教学改革一般立项项目（JG183023）; 成都理工大学2018—2019年度大学生课外科技立项重点项目（2018KJZ0008）

Evaluation of soil erosion and its influencing factors in the source of the three rivers region based on continuous replacement method

YANG Xue-qin, HE Qian, LIU En-qin

College of Earth Science,Chengdu University of Technology,Chengdu 610000,China

Received:2019-03-21 Online:2019-06-25 Published:2019-12-05

摘要/Abstract

摘要： 基于RS与GIS技术,利用RUSLE模型对三江源地区2010、2015年的土壤侵蚀状况进行了评价。同时引入连环替代法探讨土壤侵蚀变化的影响因素。结果表明,三江源地区整体上呈现出中东部侵蚀严重,东部和西部侵蚀较小的空间分布特征;随着海拔和坡长坡度的增加,土壤侵蚀模数也随之增加,坡度坡长因子增幅比高程更大,土壤侵蚀对坡度坡长因子更敏感;2010—2015年整体上土壤侵蚀减小,中部和西部地区侵蚀减小,东部地区侵蚀增加;连环替代法较好地定量描述了由于降雨和植被因子造成的土壤侵蚀量及其在空间分布上的变化,降雨对全区的影响范围较大但程度较低,植被影响范围较集中但程度较深。

关键词: RUSLE, 土壤侵蚀, 连环替代法, 三江源地区

Abstract: Based on RS and GIS technology, the RUSLE model to evaluate the soil erosion in the source of the three rivers region in 2010 and 2015 was used. At the same time, the continuous substitution method was introduced to explore the influencing factors of soil erosion change,and the multi-factor cross-effect problem was solved. The results showed that the source of the three rivers region presented a large spatial distribution of erosion in the central and eastern parts and less erosion in the east and west. With the increase of elevation and slope length, the soil erosion modulus increased, and the slope length factor increased larger than the elevation. The slope length factor was more sensitive. Overall soil erosion modulus was reduced in 2010—2015, modulus was reduced in the central and western regions, and modulus was increased in the eastern region. The continuous substitution method was better quantitatively described the amount of soil erosion caused by the rainfall and vegetation factors and its spatial distribution. The impact of rainfall on the whole area was large and the degree was low, and the range of vegetation impact was relatively concentrated and deep.

Key words: RUSLE, soil erosion, the continuous substitution method, the source of the three rivers region

中图分类号:

S157

杨雪琴, 贺倩, 刘恩勤. 基于连环替代法的三江源地区土壤侵蚀评价及其影响因素分析[J]. 湖北农业科学, 2019, 58(12): 69-73.

YANG Xue-qin, HE Qian, LIU En-qin. Evaluation of soil erosion and its influencing factors in the source of the three rivers region based on continuous replacement method[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(12): 69-73.

参考文献

[1] THOMAS J,JOSEPH S,THRIVIKRAMJI K P.Assessment of soil erosion in a tropical mountain river basin of the southern Western Ghats,India using RUSLE and GIS[J].Geoscience frontiers,2018,9:893-906.
[2] SINGH G,PANDA R K.Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE,GIS and remote sensing:A case study in the Kapgari watershed,India[J].International soil and water conservation research,2017,5(3):202-211.
[3] ZERIHUN M,MOHAMMEDYASIN M S,SEWNET D,et al.Assessment of soil erosion using RUSLE,GIS and remote sensing in NW Ethiopia[J].Geoderma regional,2018,12:83-90.
[4] 张园眼,李天宏.基于GIS和RUSLE模型的深圳市土壤侵蚀研究[J].应用基础与工程科学学报,2018,26(6):1189-1202.
[5] RABIUL I M,WAN J W Z,SAI H L,et al. Soil erosion assessment on hillslope of GCE using RUSLE model[J].Journal of earth system science,2018,127(4):50.
[6] RENARD K G,FOSTER G R,WEESIES G A,et al.Predicting soil erosion by water:A guide to conservation planning with the revised universal soil loss equation(RUSLE)[M].US department of agriculture,Agricultural handbook No.703,1997.
[7] EBRAHIMZADEH S,MOTAGH M,MAHBOUB V,et al.An improved RUSLE/SDR model for the evaluation of soil erosion[J].Environmental earth sciences,2018,77(12):454.
[8] 王欢,高江波,侯文娟.基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因[J].地理学报,2018,73(9):1674-1686.
[9] 支婷婷,耿成轩.连环替代法与LMDI方法在成本分析中的运用比较[J].财会通讯,2012(4):99-101.
[10] 王晓秋. 连环替代法在可比产品成本降低分析中的简化应用[J].财会月刊,2015(1):111-113.
[11] 李军乔. 三江源地区生态环境重建对策研究[D].陕西杨凌:西北农林科技大学,2002.
[12] 王英,曹明奎,陶波,等.全球气候变化背景下中国降水量空间格局的变化特征[J].地理研究,2006,25(6):1031-1040,1148.
[13] LANORTE A,LASAPONARA R,LOVALLO M,et al.Fisher-Shannon information plane analysis of SPOT/VEGETATION normalized difference vegetation Index(NDVI) time series to characterize vegetation recovery after fire disturbance[J].International journal of applied earth observation and geoinformation,2014,26(1):441-446.
[14] 胡云华,刘斌涛,宋春风,等.基于USLE模型的大小凉山地区土壤侵蚀定量研究[J].水土保持通报,2016,36(4):232-236.
[15] 肖玉,谢高地,安凯.青藏高原生态系统土壤保持功能及其价值[J].生态学报,2003,23(11):2367-2378.
[16] WISCHMEIER W H,MANNERING J V.Relation of soil properties to its erodibility[J].Soil science society of America journal,1969,33(1):131.
[17] 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.
[18] 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):105-110.
[19] 蔡崇法,丁树文,史志华,等.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报,2000, 14(2):19-24.
[20] 郁玉环. 连环替代法计算表的设计与应用[J].财会月刊, 2009(11):93-94.
[21] 段亚明,刘勇,刘秀华,等.基于POI大数据的重庆主城区多中心识别[J].自然资源学报,2018,33(5):788-800.
[22] 王俊华. 不同土壤类型地表径流COD污染负荷研究[D].成都:西南交通大学,2011.
[23] 马超飞,马建文,布和敖斯尔.USLE模型中植被覆盖因子的遥感数据定量估算[J].水土保持通报,2001,21(4):6-9.

基于连环替代法的三江源地区土壤侵蚀评价及其影响因素分析

Evaluation of soil erosion and its influencing factors in the source of the three rivers region based on continuous replacement method

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

编辑推荐

Metrics

本文评价

[1]	刘倩楠, 郭善昕, 姜小砾, 王琎, 陈劲松. 基于RS和GIS的重庆市忠县土壤侵蚀时空演变分析[J]. 湖北农业科学, 2020, 59(6): 28-33.
[2]	王雅澜, 李梓涵, 邵怀勇. 2009—2013年赤水河中上游水土流失防治区土壤侵蚀性动态评价[J]. 湖北农业科学, 2019, 58(16): 23-27.
[3]	贺倩, 戴晓爱. 基于RWEQ的三江源地区防风固沙与NPP研究[J]. 湖北农业科学, 2019, 58(10): 45-50.