CLIMATOLOGICAL REGIONALIZATION OF LORESTAN PROVINCE BY USING STATISTICAL METHODS AND DETERMINATION OF THE MOST SUITABLE EXPERIMENTAL METHOD

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LASHANI ZAND M.; PARVANE B.; BEIRANVAND F.

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Journal: JOURNAL OF PHYSICAL GEOGRAPHY Year:2011 | Volume:4 | Issue:11 Page(s): 89-106

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Title

CLIMATOLOGICAL REGIONALIZATION OF LORESTAN PROVINCE BY USING STATISTICAL METHODS AND DETERMINATION OF THE MOST SUITABLE EXPERIMENTAL METHOD

Author(s)

LASHANI ZAND M. | PARVANE B. | BEIRANVAND F. | Issue Writer Certificate

Keywords

AREA IDENTIFICATIONQ2

PRINCIPAL COMPONENT ANALYSISQ2

CLUSTERINGQ2

EMPIRICAL METHODSQ2

ARC GISQ2

LORESTAN PROVINCEQ2

Abstract

Climatologically Regionalization is one of the requirements in environmental planning and land use planning, and climational classification (i.e. recognition of areas which have identical weather) for reaching to overall development in time and place dimension's is necessary.Regarding this matter, for climatological regionalization of LORESTAN PROVINCE 331 meteorological variables in 1387-1389 statistical periods from 9 scattered synopsis stations were used. Rain data was used by 7 rain-gauge station of Power Ministry and 2 rain–gauge of meteorology organization during statistical periods of 1358 to 1387.Mentioned variables were reduced to 8 components by using PRINCIPAL COMPONENT ANALYSIS method and were rotated by using rotation and rotation variance. Among resulted components with regarding to the score of the factors and rate of variance of 3 factors: temperature, humidity, and rain were selected as principal components in climate determination of the province. Then they were grouped by using of hierarchical CLUSTERING method in complete linkage used of stations in this analysis based on amount of their standard scores in resulted components, and as a result LORESTAN PROVINCE divided into 4 climational areas. Then, climational plan of this province was drawn in Arc\GIS environment based on hierarchical cluster.This province was classified by using EMPIRICAL METHODS for the purpose of determination of the most suitable experimental methods. The result have shown that climate of this province has more consistency with its real climate rather EMPIRICAL METHODS by using PRINCIPAL COMPONENT ANALYSIS method.

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APA: Copy

LASHANI ZAND, M., PARVANE, B., & BEIRANVAND, F.. (2011). CLIMATOLOGICAL REGIONALIZATION OF LORESTAN PROVINCE BY USING STATISTICAL METHODS AND DETERMINATION OF THE MOST SUITABLE EXPERIMENTAL METHOD. JOURNAL OF PHYSICAL GEOGRAPHY, 4(11), 89-106. SID. https://sid.ir/paper/185034/en

Vancouver: Copy

LASHANI ZAND M., PARVANE B., BEIRANVAND F.. CLIMATOLOGICAL REGIONALIZATION OF LORESTAN PROVINCE BY USING STATISTICAL METHODS AND DETERMINATION OF THE MOST SUITABLE EXPERIMENTAL METHOD. JOURNAL OF PHYSICAL GEOGRAPHY[Internet]. 2011;4(11):89-106. Available from: https://sid.ir/paper/185034/en

IEEE: Copy

M. LASHANI ZAND, B. PARVANE, and F. BEIRANVAND, “CLIMATOLOGICAL REGIONALIZATION OF LORESTAN PROVINCE BY USING STATISTICAL METHODS AND DETERMINATION OF THE MOST SUITABLE EXPERIMENTAL METHOD,” JOURNAL OF PHYSICAL GEOGRAPHY, vol. 4, no. 11, pp. 89–106, 2011, [Online]. Available: https://sid.ir/paper/185034/en

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