Spatial and Temporal Changes in Soil Water Erosion in Baisha River Basin from 2007 to 2020

Xie Hangyu; Jiang Yi; Chen Qi; Bao Yuhai; Hu Yunhua; He Xiubin

doi:10.13961/j.cnki.stbctb.2022.04.010

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Spatial and Temporal Changes in Soil Water Erosion in Baisha River Basin from 2007 to 2020

- Spatial and Temporal Changes in Soil Water Erosion in Baisha River Basin from 2007 to 2020
- Bulletin of Soiland Water Conservation Vol. 42, Issue 4, Pages: 74-81(2022)
- 作者机构：
  
  1. 中国科学院、水利部成都山地灾害与环境研究所,四川,成都,610041
  2. 中国科学院大学,北京,100049
  3. 成都市水务技术中心,四川,成都,610041
  4. 自然资源部第六地形测量队,四川,成都,610500
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.04.010
  CLC： S157.1
- Published：2022
- 稿件说明：
移动端阅览
Xie Hangyu, Jiang Yi, Chen Qi, et al. Spatial and Temporal Changes in Soil Water Erosion in Baisha River Basin from 2007 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 74-81.
DOI：

Xie Hangyu, Jiang Yi, Chen Qi, et al. Spatial and Temporal Changes in Soil Water Erosion in Baisha River Basin from 2007 to 2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 74-81. DOI： 10.13961/j.cnki.stbctb.2022.04.010.

摘要

[目的

]

研究四川省都江堰市白沙河流域地震前后土壤水力侵蚀时空变化规律，为地震灾区水源地保护和土壤侵蚀防治工作提供科学参考。[方法

]

利用中国土壤流失方程CSLE (chinese soil loss equation)定量分析了2007—2020年白沙河流域土壤水力侵蚀面积、强度、空间分布特征。[结果

]

①地震后流域水力侵蚀强度等级整体呈现先升高再降低的趋势，2007，2008，2013，2018，2020年土壤侵蚀模数分别为817.51，3 000.11，5 828.89，1 549.76，1 558.37 t/(km

·a)，2020年土壤侵蚀强度下降到以轻度侵蚀为主，平均土壤侵蚀模数相比2008年降低了48.1%。②坡度35°以上和海拔2 000 m以上区域贡献的土壤侵蚀量分别占2020年总量的85.44%，68.20%，平均土壤侵蚀模数超过5 000 t/(km

·a)的强烈及以上强度侵蚀主要发生在海拔4 000 m以上的地区。③震后10 a来，虽然白沙河流域平均植被覆盖度在60%～74%之间，但中度及以上强度侵蚀面积相较于地震前仍呈现较高比例，2020年中度及以上强度侵蚀面积比例是地震前2007年的4.13倍。[结论

]

随着自然恢复年限的增加，2013—2020年白沙河流域土壤水力侵蚀状况得到有效改善，但流域中上游局部地区仍存在强烈及以上强度侵蚀，地形条件和降雨侵蚀力对其变化影响作用明显。

Abstract

[Objective] The spatial-temporal variations of soil water erosion before and after the Wenchuan earthquake in the Baisha River basin of Dujiangyan City

Sichuan Province were assessed to support water source protection efforts and comprehensive control of soil erosion in the earthquake-stricken area.[Methods] The characteristics of soil water erosion (i. e.

area

intensity

and spatial distribution) in the Baisha River basin from 2007 to 2020 were quantitatively analyzed by using the Chinese Soil Loss Equation (CSLE).[Results] ① The intensity of soil water erosion after the Wenchuan earthquake in the Baisha River basin initially increased and then decreased. The average soil erosion modulus values for the Baisha River asin were 817.51

3 000.11

5 828.89

1 549.76

and 1 558.37 t/(km2·a) in 2007

2008

2013

2018

and 2020

respectively. The intensity of soil erosion in 2020 was mainly classified as light erosion

and the average soil erosion modulus was 48.1% lower than in 2008. ② The average soil erosion modulus gradually increased with increasing slope gradient or altitude. Soil erosion amount contributed by regions with slope greater than 35° and elevation above 2 000 m accounted for 85.44% and 68.20%

respectively

of the total erosion amount in 2020. In addition

the extremely severe erosion area with an average soil erosion modulus of more than 5 000 t/(km2·a) mainly occurred in areas with elevation above 4 000 m. ③ Although the average vegetation coverage in the Baisha River basin in the past 10 years was between 60% and 74%

the proportion of the area classified as having moderate and more severe erosion was still greater than before the earthquake. In 2020

the proportion of moderate and more severe erosion area was 4.13 times greater than in 2007.[Conclusion] Even though the soil water erosion situation has effectively improved between 2013 and 2020

areas of intense and more severe erosion remain in the middle and upper reaches of the study area

and the topographic conditions and rainfall erosivity had an obvious impact on the change in erosion area.

关键词

Keywords

references

Ran Lishan, Lu Xixi, Xu Jianchu. Effects of vegetation restoration on soil conservation and sediment loads in China:A critical review[J].Critical Reviews in Environmental Science and Technology, 2013,43(13):1384-1415.

中华人民共和国水利部.中国水土保持公报[R].水利部,2020.

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.

刘金山,倪福全,邓玉,等.岷江上游流域土壤侵蚀风险评估[J].南水北调与水利科技,2019,17(1):105-112.

赵芹,廖睿智,杜鹃,等.汶川地震灾区水土流失动态变化及原因分析[J].中国水土保持,2019(12):20-22.

周正朝,上官周平.土壤侵蚀模型研究综述[J].中国水土保持科学,2004,2(1):52-56.

谢红霞,郭丽英.经验水蚀预报模型的国内外研究进展[J].中国农业资源与区划,2012,33(2):1-8.

Alewell C, Borrelli P, Meusburger K, et al. Using the USLE:Chances,challenges and limitations of soil erosion modelling[J].International Soil and Water Conservation Research, 2019,7(3):203-225.

Benavidez R, Jackson B, Maxwell D, et al. A review of the (revised) universal soil loss equation[(R)USLE]:With a view to increasing its global applicability and improving soil loss estimates[J].Hydrology and Earth System Sciences, 2018,22(11):6059-6086.

Renard K G. Predicting soil erosion by water:A guide to conservation planning with the revised universal soil loss equation (RUSLE)[M].Washington D C:U.S.Dept. of Agriculture,Agricultural Research Service, 1997.

Liu Baoyuan, Zhang Keli, Xie Yun. An empirical soil loss equation[C]. Proceedings of the 12th International Soil Conservation Organization Conference, Beijing, China. 2002:26-31.

Tang Qiang, He Xiubin, Bao Yuhai, et al. Determining the relative contributions of climate change and multiple human activities to variations of sediment regime in the Minjiang River, China[J].Hydrological Processes, 2013,27(25):3547-3559.

王铭烽.三峡库区水库运行前后土壤侵蚀动态变化及人为驱动机制[D].四川成都:中国科学院大学(中国科学院水利部成都山地灾害与环境研究所),2020.

Chen Guokun, Zhang Zengxiang, Guo Qiankun, et al. Quantitative assessment of soil erosion based on CSLE and the 2010 national soil erosion survey at regional scale in Yunnan Province of China[J].Sustainability, 2019,11(12):3252.

Duan Xingwu, Bai Zhiwei, Rong Li, et al. Investigation method for regional soil erosion based on the Chinese Soil Loss Equation and high-resolution spatial data:Case study on the mountainous Yunnan Province, China[J].Catena, 2020,184:104237.

王锐亮.川北紫色土深丘区小流域降雨及土壤侵蚀特征分析[D].重庆:西南大学,2007.

李智广,刘宪春,刘建祥,等.第一次全国水利普查水土保持普查方案[J].水土保持通报,2010,30(3):87-91.

章文波,谢云,刘宝元.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705-711.

United States Department of Agriculture. EPIC-erosion/productivity impact calculator (Ⅰ):Model documentation[R].USA:USDA-ARS, 1990.

张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.

杨子生.云南省金沙江流域土壤流失方程研究[J].山地学报,2002,20(S1):1-9.

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.

谢红霞,杨勤科,李锐,等.延河流域水土保持措施减蚀效应分析[J].中国水土保持科学,2010,8(4):13-19.

杨渺,江腊海,侯鹏,等."5·12"汶川地震极重灾区灾后十年生态恢复状况评估[J].长江流域资源与环境,2020,29(11):2541-2550.

Ouyang Wei, Hao Fanghua, Skidmore A K, et al. Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River[J].Science of the Total Environment, 2010,409(2):396-403.

Zhou P, Luukkanen O, Tokola T, et al. Effect of vegetation cover on soil erosion in a mountainous watershed[J]. Catena, 2008,75(3):319-325.

焦菊英,王宁,杜华栋,等.土壤侵蚀对植被发育演替的干扰与植物的抗侵蚀特性研究进展[J].草业学报,2012,21(5):311-318.

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