Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics

被引:9
作者
Genchi, Sibila A. [1 ]
Vitale, Alejandro J. [2 ,3 ]
Perillo, Gerardo M. E. [2 ,4 ]
Cintia Piccolo, Maria [1 ,2 ]
机构
[1] Univ Nacl Sur, Dept Geog & Turismo, B8000FWB, Bahia Blanca, Buenos Aires, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Inst Argentino Oceanog, CC 804,B8000FWB, Bahia Blanca, Buenos Aires, Argentina
[3] Univ Nacl Sur, Dept Ingn Elect & Comp, B8000FWB, Bahia Blanca, Buenos Aires, Argentina
[4] Univ Nacl Sur, Dept Geol, B8000FWB, Bahia Blanca, Buenos Aires, Argentina
关键词
Geomorphometry; Drainage network extraction; Principal components analysis; Cluster analysis; Semi-arid region; Argentina; DIGITAL ELEVATION MODELS; NETWORKS; EXTRACTION; EVOLUTION; BASINS;
D O I
10.1007/s12145-016-0258-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In semi-arid environments there is often a lack of data on hydrological variables that limits the ability to understand key hydrological processes. In response to this need, geomorphometric analysis is a quantitative approach that has proven to be useful. This work aims to assess and classify 35 exorheic drainage basins located in a semi-arid area of Argentina (Northeastern Patagonia) according to their geomorphometric properties by using GIS technology and principal component (PCA) and cluster analysis (CA) multivariate techniques. In addition, an assessment of automated drainage network extraction accuracy was performed by comparing it with the actual drainage network. The study showed that it was possible to derive automated drainage networks with errors lower than 6 %. By comparing both PCA and CA, it was found that the former allows a good understanding of the clustering of basins from the CA. All basins were clustered into four groups following a significant spatial continuity. This type of study gives the basis for regional-scale analysis, and provides further information for subsequent modeling.
引用
收藏
页码:309 / 324
页数:16
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