干旱区生态环境知识资源中心(Arid): Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence

Arid

DOI	10.3390/w11061129
	Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence
	Arabameri, Alireza 1; Cerda, Artemi 2; Tiefenbacher, John P.3
通讯作者	Arabameri, Alireza
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:6
英文摘要	Gully erosion is an environmental problem in arid and semi-arid areas. Gullies threaten the soil and water resources and cause off- and on-site problems. In this research, a new hybrid model combines the index-of-entropy (IoE) model with the weight-of-evidence (WoE) model. Remote sensing and GIS techniques are used to map gully-erosion susceptibility in the watershed of the Bastam district of Semnan Province in northern Iran. The performance of the hybrid model is assessed by comparing the results with from models that use only IoE or WoE. Three hundred and three gullies were mapped in the study area and were randomly classified into two groups for training (70% or 212 gullies) and validation (30% or 91 gullies). Eighteen topographical, hydrological, geological, and environmental conditioning factors were considered in the modeling process. Prediction-rate curves (PRCs) and success-rate curves (SRCs) were used for validation. Results from the IoE model indicate that drainage density, slope, and rainfall factors are the most important factors promoting gullying in the study area. Validation results indicate that the ensemble model performed better than either the IoE or WoE models. The hybrid model predicted that 38.02 percent of the study area has either high or very high susceptible to gullying. Given the high accuracy of the novel hybrid model, this scientific methodology may be very useful for land use management decisions and for land use planning in gully-prone regions. Our research contributes to achieve Land Degradation Neutrality as will help to design remediation programs to control non-sustainable soil erosion rates.
英文关键词	soil natural resources modeling hybrid model Bastam watershed
类型	Article
语种	英语
国家	Iran ; Spain ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000475346300017
WOS关键词	MULTICRITERIA DECISION-MAKING ; LANDSLIDE SUSCEPTIBILITY ASSESSMENT ; DATA-MINING TECHNIQUES ; LOGISTIC-REGRESSION ; CERTAINTY FACTOR ; HAZARD ASSESSMENT ; SEMIARID REGION ; SOIL-EROSION ; ENSEMBLE ; MANAGEMENT
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219215
作者单位	1.Tarbiat Modares Univ, Dept Geomorphol, Tehran 3658117994, Iran; 2.Univ Valencia, Dept Geog, Soil Eros & Degradat Res Grp, Blasco Ibanez 28, Valencia 46010, Spain; 3.Texas State Univ, Dept Geog, San Marcos, TX 78666 USA
推荐引用方式 GB/T 7714	Arabameri, Alireza,Cerda, Artemi,Tiefenbacher, John P.. Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence[J],2019,11(6).
APA	Arabameri, Alireza,Cerda, Artemi,&Tiefenbacher, John P..(2019).Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence.WATER,11(6).
MLA	Arabameri, Alireza,et al."Spatial Pattern Analysis and Prediction of Gully Erosion Using Novel Hybrid Model of Entropy-Weight of Evidence".WATER 11.6(2019).