干旱区生态环境知识资源中心(Arid): GEOSTATISTICAL BASED SUSCEPTIBILITY MAPPING OF SOIL EROSION AND OPTIMIZATION OF ITS CAUSATIVE FACTORS: A CONCEPTUAL FRAMEWORK

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	GEOSTATISTICAL BASED SUSCEPTIBILITY MAPPING OF SOIL EROSION AND OPTIMIZATION OF ITS CAUSATIVE FACTORS: A CONCEPTUAL FRAMEWORK
	Sholagberu, Abdulkadir T.; Mustafa, Muhammad R.; Yusof, Khamaruzaman W.; Hashim, Ahmad M.
通讯作者	Sholagberu, AT
来源期刊	JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY
ISSN	1823-4690
出版年	2017
卷号	12 期号:11 页码:2880-2895
英文摘要	Soil erosion hazard is the second biggest environmental challenges after population growth causing land degradation, desertification and water deterioration. Its impacts on watersheds include loss of soil nutrients, reduced reservoir capacity through siltation which may lead to flood risk, landslide, high water turbidity, etc. These problems become more pronounced in human altered mountainous areas through intensive agricultural activities, deforestation and increased urbanization among others. However, due to challenging nature of soil erosion management, there is great interest in assessing its spatial distribution and susceptibility levels. This study is thus intend to review the recent literatures and develop a novel framework for soil erosion susceptibility mapping using geostatistical based support vector machine (SVM), remote sensing and GIS techniques. The conceptual framework is to bridge the identified knowledge gaps in the area of causative factors' (CFs) selection. In this research, RUSLE model, field studies and the existing soil erosion maps for the study area will be integrated for the development of inventory map. Spatial data such as Landsat 8, digital soil and geological maps, digital elevation model and hydrological data shall be processed for the extraction of erosion CFs. GIS-based SVM techniques will be adopted for the establishment of spatial relationships between soil erosion and its CFs, and subsequently for the development of erosion susceptibility maps. The results of this study include evaluation of predictive capability of GIS-based SVM in soil erosion mapping and identification of the most influential CFs for erosion susceptibility assessment. This study will serve as a guide to watershed planners and to alleviate soil erosion challenges and its related hazards.
英文关键词	Soil erosion Causative factors Susceptibility mapping SVM GIS
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000419685200004
WOS关键词	SUPPORT VECTOR MACHINE ; MULTIVARIATE STATISTICAL-MODELS ; WEIGHTS-OF-EVIDENCE ; LOGISTIC-REGRESSION ; FREQUENCY RATIO ; GIS ; VALIDATION ; BIVARIATE ; AREAS ; SCALE
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/332475
作者单位	[Sholagberu, Abdulkadir T.; Mustafa, Muhammad R.; Yusof, Khamaruzaman W.; Hashim, Ahmad M.] Univ Teknol PETRONAS, Dept Civil & Environm Engn, Bandar Seri Iskandar 32610, Perak, Malaysia
推荐引用方式 GB/T 7714	Sholagberu, Abdulkadir T.,Mustafa, Muhammad R.,Yusof, Khamaruzaman W.,et al. GEOSTATISTICAL BASED SUSCEPTIBILITY MAPPING OF SOIL EROSION AND OPTIMIZATION OF ITS CAUSATIVE FACTORS: A CONCEPTUAL FRAMEWORK[J],2017,12(11):2880-2895.
APA	Sholagberu, Abdulkadir T.,Mustafa, Muhammad R.,Yusof, Khamaruzaman W.,&Hashim, Ahmad M..(2017).GEOSTATISTICAL BASED SUSCEPTIBILITY MAPPING OF SOIL EROSION AND OPTIMIZATION OF ITS CAUSATIVE FACTORS: A CONCEPTUAL FRAMEWORK.JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY,12(11),2880-2895.
MLA	Sholagberu, Abdulkadir T.,et al."GEOSTATISTICAL BASED SUSCEPTIBILITY MAPPING OF SOIL EROSION AND OPTIMIZATION OF ITS CAUSATIVE FACTORS: A CONCEPTUAL FRAMEWORK".JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY 12.11(2017):2880-2895.