The Concentration Distribution and specification in air pollution from monitoring stations in Taipei City of Taiwan
Date Issued
2004
Date
2004
Author(s)
Tang, Chen-Hsiung
DOI
zh-TW
Abstract
The number of air quality monitoring stations and use of obtained data affects the pollution improvement evaluation and target attainment standard directly. Therefore, with guaranteed monitoring quality, incorporating monitoring resources from various departments, avoiding waste of manpower and materials. Analysis on the significance of data obtained from monitoring stations of the same kind in the same area can assist to maximize the efficiency of air quality monitoring facility and consolidate monitoring resources.
This study focused on PM10, O3 concentration variation analysis and the heavy metal distribution in suspended particles obtained from monitoring stations in Taipei City. It combined with pollutant concentration distribution, Factor Analysis, Enrichment Factor Analysis, to deduce the factor affecting a pollution incident and discuss the time series and spatial distribution of data obtained by monitoring stations of EPA and local environment protection bureaus. The results are provided to related organizations as guidelines on consolidation of local monitoring stations and pollution improvement.
The results showed that the concentration distribution of suspended particles was mostly single-peak Weibull distribution and lognormal distribution. The suspended particles showed trend in summer and autumn seasons. Ozone showed fine trend in all seasons, except for the data shown by Sinyi Station in spring season. Factor Analysis, Enrichment Factor Analysis were applied on the pollution incident, and showed that the main factors to the air quality were incinerator (Cu, K, Zn), traffic source (Al, Fe, Mg), and street dust (Al, Fe, K,Ca, Mg). The optimization model for two-unit time sequence showed that PM10 time series model and seasonal periodicity of EPA monitoring stations showed better consistency, of which both exhibited seasonal periodicity. The concentration of ozone showed no significant seasonal periodicity, but time series showed relative trend. Analyzing the per-hour ozone concentration with geostatistics, the most appropriate semi-variogram of Gaussian model calculated the effective range to be 41km to 98km. The variability of sample dot-concentration within the effective range was large, the space between the two points showed relativity. The analysis results showed high relativity of variation trend of ozone concentration. Therefore, based on the number of mid-scale ozone pollutant stations of the same kind, consolidation is feasible to maximize the limited resources.
Subjects
地理統計
加強因子分析
時間序列
因子分析
enrichment factor analysis
geostatistics
time series
factor analysis
SDGs
Type
thesis
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