Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)

doi:10.1007/s10668-020-01133-x

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山地表生过程与生态调控重点实验室

	Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)
	Fan, Jihui 3; Motamedi, Artemis 1; Galoie, Majid 2
刊名	ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
	2021-01-19
页码	DOI: 10.1007/s10668-020-01133-x
关键词	C factor Mountainous area NDVI Soil erosion Tibetan plateau USLE
ISSN号	1387-585X
DOI	10.1007/s10668-020-01133-x
通讯作者	Motamedi, Artemis(artemis.mot@bzte.ac.ir)
产权排序	1
文献子类	Article; Early Access
英文摘要	The soil loss caused by rainfall-runoff process is a global issue which can decrease the lands fertility and increase the flood hazards. There are many different empirical relationships and numerical methods available for soil loss estimation. One of the most commonly used methods is the Universal Soil Loss Equation (USLE), which is widely used to estimate the amount of annual rill erosion. The main aim of this paper was to evaluate the accuracy and applicability of the USLE method in the estimation of soil loss in elevated and rocky mountainous areas of Tibetan plateau. To do this, some of the observed and modeled soil loss data that were available in some Chinese researches, were selected. Land slope, soil type, land cover, Normalized Difference Vegetation Index (NDVI), aspect, monthly and annual rainfall and runoff maps from GIS were derived and investigated to calculate the USLE parameters. The results showed that the accuracy of the USLE model was decreased significantly in regions with high soil loss risk due to ignoring the rock properties and snow cover in K parameter. Also, the results showed that parameters which can decrease the soil loss significantly such as rock fragments content and low height vegetation have to be considered in NDVI calculation. Hence, it is recommended to improve the accuracy of the model by adjusting C factor for elevated mountainous areas based on the rock properties and snow cover which can be derived from the remote sensing maps.
电子版国际标准刊号	1573-2975
资助项目	Chinese National Natural Science Foundation[41871072] ; National Major Science and Technology Program for Water Pollution Control and Treatment[2017ZX07101001] ; Young Scientists Exchange Program (TYSP)[Iran-18-008] ; Young Scientists Exchange Program (TYSP)[Iran-18-009] ; Institute of Mountain Hazards and Environment of China
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000608958500010
资助机构	Chinese National Natural Science Foundation ; National Major Science and Technology Program for Water Pollution Control and Treatment ; Young Scientists Exchange Program (TYSP) ; Institute of Mountain Hazards and Environment of China
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/55834]
专题	成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
通讯作者	Motamedi, Artemis
作者单位	1.Tech Univ Buein Zahra, Civil Engn Dept, Imam Khomeini Blvd, Buein Zahra 3451745346, Qazvin, Iran 2.Imam Khomeini Int Univ, Civil Engn Dept, Qazvin 3414896818, Iran 3.Chinese Acad Sci, Inst Mt Hazards & Environm, 9,Sect 4,Renminnanlu Rd, Chengdu 610041, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Fan, Jihui,Motamedi, Artemis,Galoie, Majid. Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)[J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,2021:DOI: 10.1007/s10668-020-01133-x.
APA	Fan, Jihui,Motamedi, Artemis,&Galoie, Majid.(2021).Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau).ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY,DOI: 10.1007/s10668-020-01133-x.
MLA	Fan, Jihui,et al."Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)".ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2021):DOI: 10.1007/s10668-020-01133-x.