PDF Download

[1]YANG Jianhe,YAN Dongchun,WEN Anbang.Spatiotemporal Variation Characteristics of Surface Change and Soil Erosion in Jinsha River Basin in the Past Decade[J].Research of Soil and Water Conservation,2023,30(05):13-20.[doi:10.13869/j.cnki.rswc.2023.05.018.]

Copy

Spatiotemporal Variation Characteristics of Surface Change and Soil Erosion in Jinsha River Basin in the Past Decade

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 05 Page number: 13-20 Column: Public date: 2023-08-10

Title:: Spatiotemporal Variation Characteristics of Surface Change and Soil Erosion in Jinsha River Basin in the Past Decade

Author(s):: YANG Jianhe^1,2, YAN Dongchun², WEN Anbang²; (1.University of Chinese Academy of Sciences, Beijing 100049, China; 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610299, China)

Keywords:: soil erosion; temporal and spatial changes; Jinsha River Basin; Chinese Soil Loss Equation

CLC:: S157.1

DOI:: 10.13869/j.cnki.rswc.2023.05.018.

Abstract:: [Objective] Jinsha River Basin is an ecologically fragile area in the upper reaches of the Yangtze River and an important area for the development of the western region. Quantitative evaluation of soil erosion change and spatial distribution in Jinsha River Basin is of great significance for local soil erosion control and ecological restoration and protection. [Methods] Chinese Soil Loss Equation(CSLE)model was used to carry out quantitative estimation and analysis of soil erosion in Jinsha River Basin from 2010 to 2020. [Results] The obvious changes in Jinsha River Basin from 2010 to 2020 were the net decrease of grassland area by 6 059.7 km², the net increase of cultivated land area by 2 294.38 km², and the decrease of vegetation coverage area above 0.6 by 57.70%. The soil erosion modulus of Jinsha River Basin in 2010 and 2020 were 17.06 t/(hm²·a)and 24.56 t/(hm²·a), respectively. In the past ten years, the erosion grade changed from low intensity to high intensity, and the erosion grade in the upper and middle reaches of Jinsha River Basin(Zhimenda in Qinghai to Shigu section in Yunnan and Shigu to Pingshan section in Sichuan)changed from mild level to moderate level. In terms of spatial distribution of erosion intensity in Jinsha River Basin, the proportion of erosion amount on the slopes with above 8° in 2010 and 2020 was 92.71% and 93.80%, respectively. The increment of erosion modulus between 3 000 m and 4 000 m was remarkable, and the increase was 63.5%. [Conclusion] The change in land use and vegetation cover in Jinsha River Basin leads to the obvious transfer of soil erosion from mild level to moderate level. We should focus on the change trend of soil erosion in different slopes and elevation zones of Jinsha River Basin in order to provide data support for soil erosion control.

References:: [1] Wang Z J, Jiao J Y, Su Y, et al. The efficiency of large-scale afforestation with fish-scale pits for revegetation and soil erosion control in the steppe zone on the hill-gully Loess Plateau[J]. Catena, 2014,115:159-167.
[2] 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.
[3] Guo S, Zhu Z, Lyu L. Effects of climate change and human activities on soil erosion in the Xihe River Basin, China[J]. Water, 2018,10(8):1085-1099.
[4] 王永立,范广洲,周定文,等.我国东部地区NDVI与气温、降水的关系研究[J].热带气象学报,2009,25(6):725-732.
[5] 赵峰,范海峰,田竹君,等.吉林省中部不同土地利用类型的土壤侵蚀强度变化分析[J].吉林大学学报:地球科学版,2005,35(5):661-666.
[6] Ali S. Evaluation of the Universal Soil Loss Equation in semi-arid and sub-humid climates of India using stage dependent C-factor[J]. Indian Journal of Agricultural Sciences, 2008,78(5):422-427.
[7] V Bagarello, C, D Stefano, et al. Predicting maximum annual values of event soil loss by USLE-type models[J]. Catena, 2017,155:10-19.
[8] 周璟,张旭东,何丹,等.基于GIS与RUSLE的武陵山区小流域土壤侵蚀评价研究[J].长江流域资源与环境,2011,20(4):468-474.
[9] 胡刚,宋慧,石星军,等.基于RUSLE的卧虎山水库流域土壤侵蚀特征分析[J].地理科学,2018,38(4):610-617.
[10] 陈朝良,赵广举,穆兴民,等.基于RUSLE模型的湟水流域土壤侵蚀时空变化[J].水土保持学报,2021,35(4):73-79.
[11] 王凯,夏燕秋,马金辉,等.基于CSLE和高分辨率航空影像的孤山川流域土壤侵蚀定量评价[J].水土保持研究,2015,22(1):26-32.
[12] 马亚亚,王杰,张超,等.基于CSLE模型的陕北纸坊沟流域土壤侵蚀评价[J].水土保持通报,2018,38(6):95-102.
[13] 顾治家,谢云,李骜,等.利用CSLE模型的东北漫川漫岗区土壤侵蚀评价[J].农业工程学报,2020,36(11):49-56.
[14] 彭建,李丹丹,张玉清.基于GIS和RUSLE的滇西北山区土壤侵蚀空间特征分析:以云南省丽江县为例[J].山地学报,2007,25(5):548-556.
[15] 陈峰,李红波.基于GIS和RUSLE的滇南山区土壤侵蚀时空演变:以云南省元阳县为例[J].应用生态学报,2021,32(2):629-637.
[16] 陈正发,龚爱民,宁东卫,等.基于RUSLE模型的云南省土壤侵蚀和养分流失特征分析[J].水土保持学报,2021,35(6):7-14.
[17] 杨青林,丁鹏凯,仙巍,等.川西北地区土壤侵蚀敏感性评价[J].人民长江,2018,49(10):30-35.
[18] 姚昆,周兵,何磊,等.川西南山地区2000—2018年土壤侵蚀时空动态变化特征[J].水土保持通报,2021,41(4):224-230.
[19] 魏健美,李常斌,武磊,等.基于USLE的甘南川西北土壤侵蚀研究[J].水土保持学报,2021,35(2):31-37.
[20] 蒲泓君.川西南干热河谷土壤侵蚀风险评价:以2000—2015年为例[J].农业与技术,2022,42(11):112-114.
[21] 王莉娜,李文龙,王素芳,等.基于遥感和USLE模型的2000—2010年甘肃省土壤侵蚀变化评价[J].草业科学,2016,33(2):176-183.
[22] Liu B, Zhang K, Yun X. An empirical soil loss equation[C]//Proceedings of the 12th International Soil Conservation Organization Conference, Beijing, China. 2002.
[23] Williams J R, Dyke P T, Jones C A. Epic: A model for assessing the effects of erosion on soil productivity[J]. Developments in Environmental Modelling, 1983,5:553-572.
[24] 孔亚平,张科利,曹龙熹.土壤侵蚀研究中的坡长因子评价问题[J].水土保持研究,2008,15(4):43-47.
[25] 刘宝元,毕小刚,符素华.北京土壤流失方程[M].北京:科学出版社,2010.
[26] 江忠善,郑粉莉.坡面水蚀预报模型研究[J].水土保持学报,2004,18(1):66-69.
[27] Liu B Y, Nearing M A, Risse L M. Slope gradient effects on soil loss for steep slopes[J]. Transactions of the Asae, 1994,37(6):1835-1840.
[28] 刘斌涛,宋春风,史展,等.西南土石山区土壤流失方程坡度因子修正算法研究[J].中国水土保持,2015(8):49-51.
[29] 张顾萍,陈国民,邵怀勇,等.近16年金沙江流域植被覆盖时空特征及其对气候的响应[J].长江流域资源与环境,2021,30(7):1638-1648.
[30] 陈锐银,严冬春,文安邦,等.基于GIS/CSLE的四川省水土流失重点防治区土壤侵蚀研究[J].水土保持学报,2020,34(1):17-26.
[31] 陈羽璇.基于GIS和CSLE模型的珠江流域土壤侵蚀评价与制图[D].西安:西北大学,2021.
[32] 陈同德,焦菊英,王颢霖,等.青藏高原土壤侵蚀研究进展[J].土壤学报,2020,57(3):547-564.

Similar References:

Memo

Last Update: 2023-08-10