Prediction of soil erosion under different land uses in the typical watershed of the Loess Plateau based on FLUS-CSLE model

被引：0

作者：

Wu S. ^{[1
,2
]}

Zhang B. ^{[1
,2
]}

Shi X. ^{[1
]}

Yuan Z. ^{[1
]}

Feng H. ^{[3
]}

机构：

[1] College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling

[2] Institute of Water-saving Agriculture in Arid Areas, Northwest A&F University, Yangling

[3] Institute of Soil and Water Conservation, Chinese Academy of Sciences, Ministry of Water Resources, Yangling

来源：

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2022年 / 38卷 / 24期

关键词：

CSLE model; erosion; FLUS model; hilly and gully region of the Loess Plateau; land uses; soil erosion assessment and prediction; soils;

D O I：

10.11975/j.issn.1002-6819.2022.24.009

中图分类号：

学科分类号：

摘要：

Soil erosion has posed a serious threat to the ecological balance and food security in the most fragile environment of the Loess Plateau. Frequent human activities are drastically changing the spatial pattern of land use in the economic and social development. Therefore, it is of great significance to predict the soil erosion under different strategies of land use for the regional coordinated development in the future. Taking the Jiuyuangou watershed as the research object, this study aims to propose an improved FLUS-CSLE model for the prediction of the spatial distribution pattern of land use in different scenarios. The vegetation coverage factor (B) and the tillage measure factor (T) were also calculated in the future scenario. The CSLE model was used to evaluate the soil erosion status in the historical period (2010-2020). The vegetation coverage factor and tillage measure factor were combined to predict the soil erosion under various scenarios of land use in 2025. Finally, a systematic analysis was made to determine the response of land use types to soil erosion status. The results show that: 1) The land use types were grassland (62.23%) and forest land (28.41%), followed by cropland, buildings, and water in the study area. There were the great variations in the spatial distribution pattern of land use. Specifically, the areas of forest and grassland increased by 8.36% from 2010 to 2020, whereas, the area of cropland was decreased by 30.3%. 2) The average modulus of soil erosion in the three years of 2010, 2015, and 2020 were 19.49, 15.83, and 20.7 t/(hm2·a), respectively, indicating a trend of first decreasing and then increasing. The soil erosion modulus of land use types was ranked in the descending order of the cropland (40.56 t/(hm2·a)) > grassland (18.79 t/(hm2·a)) > building (10.25 t/(hm2·a)) > forest land (8.02 t/(hm2·a)). 3) Under the positive ecological protection scenario, the area of forest and grassland in 2025 was basically the same as that in the natural development scenario, but the proportion of forest land increased. The area of forest and grassland was increased by 5.06% compared with the economic growth scenario. The area of cropland was increased by 1.20% compared with the natural development scenario and decreased by 14.73% compared with the economic growth scenario. 4) The soil erosion moduli were 24.3, 22.9, and 18.3 t/(hm2·a), respectively, under the natural development, economic growth, and ecological protection scenarios of the watershed in 2025. Therefore, an active ecological protection mode can be expected to appropriately expand the building area in the needs of economic development. Anyway, a rapid and efficient prediction of soil erosion can be given for the management strategies in the various scenarios of land use in the future. The findings can also provide the scientific reference for the decision-making on land use, as well as soil and water conservation in the watershed. © 2022 Chinese Society of Agricultural Engineering. All rights reserved.

引用

页码：83 / 92

页数：9

共 41 条

[1] Yuan Hedi, Xin Zhongbao, Hou Jian, Et al., Models of soil and water conservation in the loess hilly region of China[J], Acta Ecologica Sinica, 41, 16, pp. 6398-6416, (2021)
[2] Xia L, Bi R T, Song X Y, Et al., Dynamic changes in soil erosion risk and its driving mechanism: A case study in the Loess Plateau of China[J], European Journal of Soil Science, 72, 3, pp. 1312-1331, (2021)
[3] Hao Shanshan, Li Menghua, Ma Yongqiang, Et al., Significance analysis of soil erosion factors in loess hilly gully region, Science of Soil and Water Conservation, 17, 2, pp. 77-86, (2019)
[4] Tian P, Mu X M, Liu J L, Et al., Impacts of climate variability and human activities on the chahanges of runoff and sediment load in a catchment of the Loess Plateau, China[J], Advances in Meteorology, 2016, pp. 1-15, (2016)
[5] Wang Q Z, Guan Q Y, Lin J K, Et al., Simulating land use/land cover change in an arid region with the coupling models[J], Ecological Indicators, 122, (2021)
[6] Shi W H, Huang M B, Lee Barbour S, Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau[J], Soil and Tillage Research, 180, pp. 137-147, (2018)
[7] Zhao Jintao, Ma Yixue, Shi Yun, Et al., Prediction of soil erosion evolution in counties in the loess hilly region based on ANN-CA model, Science of Soil and Water Conservation, 19, 6, pp. 60-68, (2021)
[8] Zhou Weidong, Wang Xiaoqin, Wu Zuocheng, Et al., Spatio-temporal variation of the soil and water loss in Changting County of granite red soil eroded area of southern China from 1988 to 2013, Science of Soil and Water Conservation, 14, 2, pp. 49-58, (2016)
[9] Ge Yonggang, Cui Peng, Lin Yongming, Et al., Soil erosion evaluation and prediction approach using <sup>137</sup>Cs, RS, and GIS in Xiaojiang River basin of China, National Remote Sensing Bulletin, 18, 4, pp. 887-901, (2014)
[10] Zhao Mingsong, Li Decheng, Zhang Ganlin, Dynamic Evolution and Prediction of Soil Erosion in Anhui Province from 1980 to 2010, Soils, 48, 3, pp. 588-596, (2016)

← 1 2 3 4 5 →