環境中成分濃度の長期変動の解析に関する研究 : 季節変動を伴う長期変動を解析するための時系列分析の開発

概要

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We developed a new time series analysis [TSA] for long-term variation with seasonal variation in concentrations of environmental components. The regression curve with two terms is used in this TSA. One term means long-term tendency of an increase or a decrease in concentration of the component. Another gives numerical information about seasonal variation, i.e. time when the highest concentration is observed in a year and regularity on seasonal cycle. The proposed TSA was successfully applied for characterizing the long-term variation in the amount of soluble and insoluble compounds in deposit samples collected for 12 years in Kanazawa. Variations in inorganic components in deposit samples were divided into three classes and five groups. This classification was in good agreement with that obtained by the factor analysis [FA]. Our TSA seemd to be helpful in characterizing the factors in FA.
公益社団法人日本薬学会の論文
1994-10-31