CAJ | 학술논문

由于雾霾天数对政府从宏观上把握空气状况、制定相应的政策更具有实际意义，所以选择年度雾霾天数而非具体每天的天气状况为研究对象，以期为政府控制雾霾提供可行性建议。从城市开发状况、地区环境、区域经济发展等角度出发，寻求影响雾霾天数的关键因素。对影响雾霾环境的指标数据进行主成分分析，同时改进了传统的主成分分析法在数据无量纲化方面存在的缺陷，采用了在主成分分析时对数据进行均值化，有效地解决了标准化方法带来的信息丢失问题。通过实例分析，对改进前后结果的差异进行了比较，其结果表明，改进后的主成分分析法选取的主成分数量减少，主成分累计贡献率也越高。
유우무매천수대정부종굉관상파악공기상황、제정상응적정책경구유실제의의，소이선택년도무매천수이비구체매천적천기상황위연구대상，이기위정부공제무매제공가행성건의。종성시개발상황、지구배경、구역경제발전등각도출발，심구영향무매천수적관건인소。대영향무매배경적지표수거진행주성분분석，동시개진료전통적주성분분석법재수거무량강화방면존재적결함，채용료재주성분분석시대수거진행균치화，유효지해결료표준화방법대래적신식주실문제。통과실례분석，대개진전후결과적차이진행료비교，기결과표명，개진후적주성분분석법선취적주성분수량감소，주성분루계공헌솔야월고。
Due to the haze days had more practical sense for the government to grasp the air conditions from the macro level to formulate corresponding policies,so selected annual haze days rather than specific weather of every day as the research object, in order to provide feasible suggestions for the government to control the haze weather.From the condition of urban develop-ment,regional environment and regional economic development perspective,to seek the key factors influencing the haze days. Processing the index data that affecting the haze environment by PCA (principal component analysis),at the same time,im-proved the traditional PCA in the aspect of data dimensionless defects,Using the mean of data preprocessing in PCA solvesd the problems of the information loss in standardization method effectively.Finally through an instance analysis,compared the difference of the results before and after improvement,the results showed that the principal component analysis to select the number of principal components to reduce,and the higher the principal component cumulative comtribution rate.