RS and GIS-based analysis on spatial-temporal evolution of soil erosion in Zhong county,Chongqing city

doi:10.14088/j.cnki.issn0439-8114.2020.06.005

Abstract

Abstract: Based on Landsat TM, Landsat TM8 OLI, RS, GIS and field remote-sensing survey data in 1990 and 2015, the spatial distribution of soil erosion pattern and its spatial-temporal evolution characteristics in Zhong county, Chongqing city were analyzed. The results shows that in these two periods, soil erosion was dominated by the micro erosion. The proportions of the soil erosion in 1990 and 2015 were 44.67% and 54.88%, respectively. The sumsof area proportions of the area in the mild, moderate and strong soil erosion type in 1990 and 2015 in this area is 50.99% and 41.59%, respectively. As the area of micro erosion increases, the area of other erosion types decreases. Strong erosion area showed the sharpest cut （25.77%） and mild erosion area narrows mostly（101.16 km²）. The great conversion happens between micro erosion and mild erosion, as the conversion between extreme strong erosions and strong erosions with other erosion types were relatively smaller.

Key words: remote-sensing, soil erosion, spatial-temporal evolution, spatial distribution, Zhong county of Chongqing city

CLC Number:

F301.24
P208

LIU Qian-nan, GUO Shan-xin, JIANG Xiao-li, WANG Jin, CHEN Jin-song. RS and GIS-based analysis on spatial-temporal evolution of soil erosion in Zhong county,Chongqing city[J]. HUBEI AGRICULTURAL SCIENCES, 2020, 59(6): 28-33.

References

[1] 王占礼. 中国土壤侵蚀影响因素及其危害分析[J].农业工程学报,2000,16(4):32-36.
[2] 姜琳,边金虎,李爱农,等.岷江上游2000-2010年土壤侵蚀时空格局动态变化[J].水土保持学报,2014,28(1):18-25,35.
[3] 周湘山,孙保平,李锦荣,等.基于GIS和USLE的土壤侵蚀定量分析研究——以四川省洪雅县为例[J].水土保持研究,2011,18(4):5-10,15.
[4] QIAO Y L,QIAO Y.Fast soil erosion investigation and dynamic analysis in the Loess Plateau of China by using information composite technique[J].Advances in space research,2002,29(1):85-88.
[5] 裴厦,姚治君,章予舒,等.基于RS和GIS的西藏察雅县土壤侵蚀动态监测与分析[J].自然资源学报,2011,26(2):302-309.
[6] 董婷婷,张增祥,左利君.基于GIS和RS的辽西地区土壤侵蚀的定量研究[J].水土保持研究,2008,15(4):48-52.
[7] 杨娟,葛剑平,李庆斌.基于GIS和US LE的卧龙地区小流域土壤侵蚀预报[J].清华大学学报(自然科学版),2006,46(9):1526-1529.
[8] 黄金良,洪华生,张珞平,等.基于GIS和USLE的九龙江流域土壤侵蚀量预测研究[J].水土保持学报,2004,18(5):75-79.
[9] 何兴元,湖之滨,李月辉,等.GIS支持下岷江上游土壤侵蚀动态研究[J].应用生态学报,2005,16(12):2271-2278.
[10] RANZI R,LE T H,RULLI M C.A RUSLE approach to model suspended sediment load in the Lo river(Vietnam):Effects of reservoirs and land use changes[J].Journal of hydrology,2012(422-423):17-29.
[11] TRAN L T,RIDGLEY M A,DUCKSTEIN L,et al.Application of fuzzy logic-based modeling to improve the performance of the Revised Universal Soil Loss Equation[J].Catena,2002,47(3):203-226.
[12] XU L F,XU X G,MENG X W.Risk assessment of soil erosion in different rainfall scenarios by RUSLE model coupled with Information Diffusion Model:A case study of Bohai Rim,China[J].Catena,2013,100:74-82.
[13] 怡凯,王诗阳,王雪,等.基于RUSLE模型的土壤侵蚀时空分异特征分析——以辽宁省朝阳市为例[J].地理科学,2015, 35(3):365-372.
[14] 杨存建,刘纪远,张增祥.重庆市土壤侵蚀与其背景的空间分析[J].水土保持学报,2000,14(3):84-87.
[15] 张忠启,文安邦.土壤侵蚀遥感调查——以重庆市忠县为例[J].水土保持研究,2007,14(1):295-297,300.
[16] 李阳兵,邵景安,杨华,等.重庆市土壤侵蚀空间格局研究[J].重庆师范大学学报(自然科版),2007,24(4):12-15.
[17] 孙凡,刘伯云,游翔,等.重庆市渝东北地区土壤侵蚀空间分布[J].重庆师范大学学报(自然科学版),2010,27(2):26-30.
[18] 李茂祥. 基于生态安全的三峡库区土地利用功能分区研究——以重庆市忠县为例[D].重庆:西南大学,2015.
[19] 喻锋,李晓兵,陈云浩,等.皇甫川流域土地利用变化与土壤侵蚀评价[J].生态学报,2006,26(6):1947-1956.
[20] 史彦林. 基于GIS的饶河县土壤侵蚀动态变化研究[J].中国水土保持,2014(10):47-49.
[21] 高清竹,李玉娥,林而达,等.藏北地区草地退化的时空分布特征[J].地理学报,2005,60(6):965-973.
[22] 韩少卿,杨兴礼.土地生态适宜性分区及土地生态开发——以