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[1]LIU Lu,GUO Yuefeng,YAO Yunfeng,et al.Spatial Distribution and Dynamic Change of Soil Erosion in Ten Tributaries[J].Research of Soil and Water Conservation,2021,28(04):34-41.

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Spatial Distribution and Dynamic Change of Soil Erosion in Ten Tributaries

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 04 Page number: 34-41 Column: Public date: 2021-08-10

Title:: Spatial Distribution and Dynamic Change of Soil Erosion in Ten Tributaries

Author(s):: LIU Lu¹, GUO Yuefeng¹, YAO Yunfeng¹, LIU Xiaoyu¹, QI Wei^1,2; (1.College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; 2.Inner Mongolia Water Resources and Hydropower Exploration and Design Institute, Hohhot 010020, China)

Keywords:: ten tributaries; upstream catchment; RUSLE; land types; soil erosion

CLC:: S157

DOI:: -

Abstract:: In order to prevent and treat soil erosion in the ecologically fragile area, taking the upstream of the ten tributaries as the research area, we used the RUSLE model and land-based methods through GIS software, selected 5 typical years of 1980, 1990, 2000, 2010 and 2018, respectively, and studied the dynamic characteristics of the spatial distribution of soil erosion in the upstream of the ten tributaries and compared the effectiveness of the two methods. The results show that the soil erosion in the upstream of the top ten tributaries is mainly non-obvious erosion and moderate erosion, and the calculated erosion area of mild or above grade based on the two methods shows a trend of increase in 1980—1990 and decrease in 1990—2018, respectively, indicating that the soil erosion situation in this region is gradually improved. It is found that the factor of RUSLE equation is more comprehensive, the simulation is closer to the reality, and is also applicable to the quantitative study of water and soil loss by comparing the two methods.

References:: [1] 李渊,刘子琦.石漠化区不同土地类型土壤侵蚀与理化性质特征[J]森林与环境学报,2019,39(5):515-523.
[2] 杨冉冉,徐涵秋,林娜,等.基于RUSLE的福建省长汀县河田盆地区土壤侵蚀定量研究[J].生态学报,2013,33(10):2974-2982.
[3] 李亚平,卢小平,张航,等.基于GIS和RUSLE的淮河流域土壤侵蚀研究:以信阳市商城县为例[J].国土资源遥感,2019,31(4):243-249.
[4] 李佳蕾,孙然好,熊木齐,等.基于RUSLE模型的中国土壤水蚀时空规律研究[J].生态学报,2020,40(10):3473-3485.
[5] 邹雅婧,闫庆武,谭学玲.渭北矿区土壤侵蚀评估及驱动因素分析[J].干旱区地理,2019,42(6):1387-1394.
[6] 梁建方,韦小茶,马龙生,等.基于RUSLE模型的贵州省三穗县土壤侵蚀研究[J].人民珠江,2019,40(8):13-18,31.
[7] 卜兆宏,唐万龙,杨林章,等.水土流失定量遥感方法新进展及其在太湖流域的应用[J].土壤学报,2003(1):1-9.
[8] Gao F, Wang Y P, Yang J X. Assessing soil erosion using USLE model and MODIS data in the Guangdong, China[J]. IOP Conference Series: Earth and Environmental Science,2017,74(1):1-4.
[9] 周夏飞,马国霞,曹国志,等.基于USLE模型的2001—2015年江西省土壤侵蚀变化研究[J].水土保持通报,2018,38(1):8-11,17.
[10] Teng H F, Hu J, Zhou Y, et al. Modelling and mapping soil erosion potential in China[J]. Journal of Integrative Agriculture, 2019,18(2):251-264.
[11] 冯精金,史明昌,姜群鸥.潮白河流域土地利用/覆被变化对土壤侵蚀的影响[J].中国水土保持科学,2019,17(3):121-132.
[12] 郭思琪,韩磊,赵永华,等.秦岭地区土壤侵蚀时空变化及景观格局[J].生态学杂志,2019,38(7):2167-2176.
[13] 秦伟,朱清科,张岩.基于GIS和RUSLE的黄土高原小流域土壤侵蚀评估[J].农业工程学报,2009,25(8):157-163.
[14] Shi P, Zhang Y, Zhang Y, et al. Land-use types and slope topography affect the soil labile carbon fractions in the Loess hilly-gully area of Shaanxi, China[J]. Archives of Agronomy and Soil Science, 2020,66(5):638-650.
[15] 郭碧云,王光谦,张正峰.内蒙古农牧交错区土地利用/覆被变化及土壤侵蚀:以太仆寺旗为例[J].应用基础与工程科学学报,2011,19(S1):9-16.
[16] 张翔.黄河上游十大孔兑地区风水复合侵蚀产沙过程研究[D].西安:西安理工大学,2016.
[17] Wang M F, Tian F X, He X B, et al. Dry cropland changes in China's Three Gorges Reservoir Region during the period 1990 to 2015[J]. Journal of Mountain Science, 2020,17(3):516-527.
[18] Wen X, Zhen L. Soil erosion control practices in the Chinese Loess Plateau: A systematic review[J]. Environmental Development,2020,34:1-37.
[19] Xu S, Liu Y F, Gong J, et al. Comparing differences among three ecosystem service proxies for soil erosion prevention and their combination characteristics at local scales[J]. Ecological Indicators,2020,110:1-10.
[20] 周来,李艳洁,孙玉军.修正的通用土壤流失方程中各因子单位的确定[J].水土保持通报,2018,38(1):169-174.
[21] 查良松,邓国徽,谷家川.1992—2013年巢湖流域土壤侵蚀动态变化[J].地理学报,2015,70(11):1708-1719.
[22] 胡文敏,周卫军,余宇航,等.基于RS和USLE的红壤丘陵区小流域水土流失量估算[J].国土资源遥感,2013,25(3):171-177.
[23] 姬翠翠,李晓松,曾源,等.基于遥感和GIS的宣化县水土流失定量空间特征分析[J].国土资源遥感,2010(2):107-112.
[24] 李亚平,卢小平,张航,等.基于GIS和RUSLE的淮河流域土壤侵蚀研究:以信阳市商城县为例[J].国土资源遥感,2019,31(4):243-249.
[25] Bouyoucos G J. The clay ratio as a criterion of susceptibility of soils to erosion[J]. Journal of the American Society of Agronomy, 1935,27(9):738-741.
[26] 刘宝元,张科利,焦菊英.土壤可蚀性及其在侵蚀预报中的应用[J].自然资源学报,1999,14(4):345-350.
[27] 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.
[28] 张元.基于3S和USLE的内蒙古达拉特旗黄土丘陵区土壤侵蚀研究[D].呼和浩特:内蒙古农业大学,2016.
[29] 冯强,赵文武. USLE/RUSLE中植被覆盖与管理因子研究进展[J].生态学报,2014,34(16):4461-4472.
[30] 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)U. S[J]. Department of Agriculture, Agric Handbook,1997,703:404.
[31] 管文轲,韦红,钟家骅,等.塔里木河流域植被覆盖变化的遥感监测[J].水土保持通报,2018,38(5):244-248,260.

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Last Update: 2021-08-20