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Chemical Composition and Seasonal Variation of Acid Deposition in Chiang Mai, Thailand 원문보기

Environmental engineering research, v.15 no.2, 2010년, pp.93 - 98  

Sillapapiromsuk, S. (Environmental Science Program, Faculty of Science, Chiang Mai University) ,  Chantara, S. (Environmental Science Program, Faculty of Science, Chiang Mai University)

Abstract AI-Helper 아이콘AI-Helper

This study aims to determine the chemical composition and seasonal variation of atmospheric acid deposition in order to identify possible sources contributing to precipitation. Sampling and analysis of 132 wet deposition samples were carried out from January to December 2008 at Mae Hia Research Cent...

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제안 방법

  • In this study, principal component analysis (PCA) was used to determine the various sources of ion composition of the wet depositions. A varimax rotation with Kaiser Normalization of Principle Components Analysis by SPSS program (version 14; SPSS Inc.
  • 45 µm cellulose acetate filter paper and stored in the dark at 4℃ until ion analysis was performed. Inorganic cations (Na+, NH4+, K+, Ca2+, and Mg2+) and anions (HCOO-, CH3COO-, Cl-, NO3-, and SO42-) in the rainwater samples were analyzed by Ion Chromatograph (Metrohm, Herisau, Switzerland). Hydrogen ion (H+) concentrations were derived from pH values [16].

대상 데이터

  • The sampling site is located at a meteorological station in the area of Mae Hia Research Center, Chiang Mai University, Muang District, Chiang Mai Province (Fig. 1). It is bounded by longitude 98° 55’ 54.
  • This study of the chemical composition of rainwater was carried out in the northern part of Thailand from January to December 2008. NH4+ and SO42- were the dominant cation and anion found in the wet deposition in this area.

데이터처리

  • In this study, principal component analysis (PCA) was used to determine the various sources of ion composition of the wet depositions. A varimax rotation with Kaiser Normalization of Principle Components Analysis by SPSS program (version 14; SPSS Inc., Chicago, IL, USA) was used for the determination of factors underlying the inter-correlations between the measured species. Pearson correlation (r) was used for data analysis to identify relationships between ionic species in rainwater.
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참고문헌 (25)

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