摘要
以上海市2000年7月至2006年6月的污染指数时间序列为基础数据,引入多重分形分析方法对上海市的大气污染特征及其变化趋势进行了研究。研究表明,上海市的3种主要大气污染物(SO2、NO2和PM10)在整个时间尺度上均表现出标度不变性,具有完全不同的多重分形特征。多重分形分析方法不仅能确认序列中的标度不变性,而且能说明3种大气污染物序列中概率分布的标度变化,这对于描述大气污染物时间序列的动力学变化具有现实意义。另外,进一步应用3个多重分形谱参数(B、Δα和Δf),研究了3种大气污染物各年的多重分形谱的变化,并结合上海市采取的大气环境治理措施,对其变化的原因进行了分析。结果表明,多重分形谱参数可作为一个评价城市空气质量演变程度的综合定量指标。为分析城市空气质量的演变提供了一条新的途径,对于认识上海市城市空气质量的变化过程和科学制订环境保护决策具有重要意义。
This study analyzes air quality using air pollution indexes （SO2, NO2 and PM10 ） according to time series by multi-fractal method from July 2000 to June 2006 in Shanghai, China. The analysis confirms the existence of different multi-fractal characteristics in these investigated periods. It demonstrates that the multi-fractal method not only identify the scaling invariance but also explain the scaling behavior of the probability distributions of scaling behavior due to pollution indexes and studied time series. This is important for describing more accurately about the var- iation of the different pollution indexes following the time series. Additionally, the temporal variation of the three pol- lutants due to time series can be further investigated by their multi-fractal characteristics （B, △a and △f） changes for every year in the time series design. The research results reflect that the multi-fractal method can provide a new ap- proach to the study of the temporal variation of air pollutants. Based on these results, the multi-fractal characteristics changes of time series and scientific measurement can help establish environmental policies for Shanghai.
出处
《环境污染与防治》
CAS
CSCD
北大核心
2008年第9期60-64,69,共6页
Environmental Pollution & Control
关键词
多重分形
标度不变性
污染指数
空气质量
multi-fractal
scaling invariance
pollution index
air quality
