干旱区生态环境知识资源中心(Arid): New application of GIS and statistical analysis in mapping the distribution of quaternary calcrete (Tensift Al Haouz area, Central Morocco)

Arid

DOI	10.1016/j.catena.2019.104419
	New application of GIS and statistical analysis in mapping the distribution of quaternary calcrete (Tensift Al Haouz area, Central Morocco)
	Elidrissi, Soukaina 1; Omdi, Fatima Ezzahra 1; El Azhari, Abdellah 1; Fagel, Nathalie 2; Daoudi, Lahcen 1
通讯作者	Elidrissi, Soukaina
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2020
卷号	188
英文摘要	Quaternary calcretes are widespread in soils of many regions of the world especially in semi arid and arid areas. Their development has been studied worldwide for more than a century involving various disciplines and resulting in large amounts of data concerning their evolution. In this article, the geographical distribution of calcrete has been studied by combining Geographical Information Systems (GIS) and statistical analysis. In this paper, we present a qualitative approach that incorporates topographic, geological, hydrogeological and climatic data as well as field observations. After getting all four parameters, they were divided into classes and an index value has been assigned to each of them according to influence degree on calcrete development. Finally, all the parameters are superimposed to prepare the final map of calcrete distribution. The multivariate statistical analysis techniques used were principal component analysis and cluster analysis. Both methods were performed to discuss the potential relations among the investigated parametres (CaCO3 (%), Palygorskite (%), slope (%)) and calcrete evolution. The qualitative approach adopted provided a distribution map predicting the possible areas where different calcrete forms might occur and allowed to elucidate the degree of influence of environmental factors on the evolution of calcrete. The accuracy of this method has been estimated by comparing it with 52 cross-section data from the field. This approach proved to be successful in this study. The results of statistical analysis confirm the results obtained using GIS method and highlight the influence of the studied environmental factors on the spatial distribution of different types of calcrete.
英文关键词	Calcrcte GIS Qualitative approach Spatial distribution Multivariate statistical analyses Semi-arid climate
类型	Article
语种	英语
国家	Morocco ; Belgium
收录类别	SCI-E
WOS记录号	WOS:000518488500007
WOS关键词	CLAY-MINERALS ; HEAVY-METALS ; MERSIN AREA ; HIGH-PLAINS ; GENESIS ; ATLAS ; PALYGORSKITE ; PLEISTOCENE ; CARBONATES ; CALICHE
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314236
作者单位	1.Cadi Ayyad Univ, Fac Sci & Technol, Dept Geol, Lab Geosci & Environm LGSE, BP 549, Marrakech, Morocco; 2.Univ Liege, Dept Geol, UR Clay Geochem & Sedimentary Environm, B18, B-4000 Liege, Belgium
推荐引用方式 GB/T 7714	Elidrissi, Soukaina,Omdi, Fatima Ezzahra,El Azhari, Abdellah,et al. New application of GIS and statistical analysis in mapping the distribution of quaternary calcrete (Tensift Al Haouz area, Central Morocco)[J],2020,188.
APA	Elidrissi, Soukaina,Omdi, Fatima Ezzahra,El Azhari, Abdellah,Fagel, Nathalie,&Daoudi, Lahcen.(2020).New application of GIS and statistical analysis in mapping the distribution of quaternary calcrete (Tensift Al Haouz area, Central Morocco).CATENA,188.
MLA	Elidrissi, Soukaina,et al."New application of GIS and statistical analysis in mapping the distribution of quaternary calcrete (Tensift Al Haouz area, Central Morocco)".CATENA 188(2020).