Arid
DOI10.1016/j.jafrearsci.2019.103707
Statistical approach of factors controlling drainage network patterns in arid areas. Application to the Eastern Anti Atlas (Morocco)
Bouramtane, Tarik1; Yameogo, Suzanne2; Touzani, Meryem1; Tiouiouine, Abdessamad1; El Janati, M'; hamed1; Ouardi, Jamila3; Kacimi, Ilias1; Valles, Vincent4; Barbiero, Laurent5
通讯作者Barbiero, Laurent
来源期刊JOURNAL OF AFRICAN EARTH SCIENCES
ISSN1464-343X
EISSN1879-1956
出版年2020
卷号162
英文摘要Several studies have revealed that the complexity in the distribution of drainage network patterns is not random and controlled by major parameters, variable in space but also throughout geological time. Drainage networks in the Eastern Anti-Atlas of Morocco consist of complex spatial arrangements with various types of patterns, such as trellis, angular, dendritic and parallel. The objective was to distinguish, quantify and rank the relationship that may exist between the different drainage networks patterns, geology and geomorphology. A total of 230 basins were extracted from the ASTER-GDEM Elevation Data (USGS), which were assigned 16 parameters reflecting their topography, morphometry, slope and geology. The statistical treatment of the dataset (16 variables x 230 observations) was carried out through principal component analysis (PCA), linear discriminant analysis (LDA) and agglomerative hierarchical clustering (AHC), in order to investigate the complexity of drainage network patterns and their distribution. The PCA showed that the topographical, slope and geological parameters, i.e. primarily the parameter associated with structural control, best explains the variation in the type of the drainage pattern. The LDA made it possible to distinguish between the four types of drainage patterns with a success rate of 90%, using 3 discriminant functions that were better correlated with geological and slope parameters. LDA and AHC statistical treatments show confusion between the parallel, trellis and angular patterns, on the one hand, due to similar factors responsible for their formation, and on the other because of transitions phenomenon from one drainage pattern to another over time or space. Such possible drainage network shifting may be explained by the geological events that have occurred in the Eastern Anti Atlas from Lower Mesozoic to the Quaternary.
英文关键词Drainage network patterns Arid area Principal component analysis Linear discriminant analysis Anti-atlas Morocco
类型Article
语种英语
国家Morocco ; Burkina Faso ; France
开放获取类型Green Submitted, Bronze
收录类别SCI-E
WOS记录号WOS:000509618000025
WOS关键词REMOTE-SENSING DATA ; RIVER SYSTEMS ; EVOLUTION ; WATER ; EXTRACTION ; CLASSIFICATION ; TOPOGRAPHY ; LINEAMENTS ; MORPHOLOGY ; VEGETATION
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
EI主题词2020-02-01
来源机构French National Research Institute for Sustainable Development ; E17
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/312667
作者单位1.Mohammed V Univ, Fac Sci, Geosci Water & Environm Lab, Ave Ibn Batouta, Rabat, Morocco;
2.Univ Ouagadougou Pr J Ki Zerbo, BP 7021, Ouagadougou 03, Burkina Faso;
3.Reg Ctr Educ & Training Profess, El Jadida, Morocco;
4.Univ Avignon & Pays Vaucluse, UMR EMMAH, Avignon, France;
5.Univ Toulouse, CNRS, IRD, Observ Midi Pyrenees,UMR 5563,Geosci Environm Tou, 14 Av E Belin, F-31400 Toulouse, France
推荐引用方式
GB/T 7714
Bouramtane, Tarik,Yameogo, Suzanne,Touzani, Meryem,et al. Statistical approach of factors controlling drainage network patterns in arid areas. Application to the Eastern Anti Atlas (Morocco)[J]. French National Research Institute for Sustainable Development, E17,2020,162.
APA Bouramtane, Tarik.,Yameogo, Suzanne.,Touzani, Meryem.,Tiouiouine, Abdessamad.,El Janati, M'.,...&Barbiero, Laurent.(2020).Statistical approach of factors controlling drainage network patterns in arid areas. Application to the Eastern Anti Atlas (Morocco).JOURNAL OF AFRICAN EARTH SCIENCES,162.
MLA Bouramtane, Tarik,et al."Statistical approach of factors controlling drainage network patterns in arid areas. Application to the Eastern Anti Atlas (Morocco)".JOURNAL OF AFRICAN EARTH SCIENCES 162(2020).
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