Using the Principal Component Analysis Approach for Weighting Statistical, Climatic and Geographical Attributes of the Maximum 24-hour Rainfall and Spatial Clustering Analysis (A Case Study: Urmia Lake Basin)

Using the Principal Component Analysis Approach for Weighting Statistical, Climatic and Geographical Attributes of the Maximum 24-hour Rainfall and Spatial Clustering Analysis (A Case Study: Urmia Lake Basin)

Regionalization is one of the useful tools for carrying out effective analyses in regions lacking data or with having only incomplete data. One of the regionalization methods widely used in the hydrological studies is the clustering approach. Moreover, another effective factor on clustering is the d...

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Bibliographic Details
Main Authors: Z. Dehghan, S. S. Eslamian, R. Modarres
Format: Article
Language:fas
Published: Isfahan University of Technology 2019-03-01
Series:علوم آب و خاک
Subjects:
principle component analysis
urmia lake basin
ward’s clustering method
attributes’ weighting
Online Access:http://jstnar.iut.ac.ir/article-1-3475-en.html

Internet

http://jstnar.iut.ac.ir/article-1-3475-en.html

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