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Linear decomposition-based methodology for determining the relative importance of wind and non-wind phenomena on observed air quality.

机译:基于线性分解的方法,用于确定风和非风现象对观察到的空气质量的相对重要性。

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摘要

Air pollution in Hong Kong (HK) is becoming more significant. Many people have expressed their concern about changes in air quality. The problems and concerns have been manifest, in recent years, in HK and the Pearl River Delta (PRD) region. Typically, it is believed that increased emissions should be blamed for causing air pollution in this region. However, the authorities explain that increased occurrence in calm/light wind conditions is also important in hindering dispersion of air pollutants. Understanding the real causes can benefit in setting the best control policies.;The conflict between the "emission" and "wind pattern" viewpoints can be resolved if we can distinguish the respective contributions of wind changes (wind influence) and emission strengths (non-wind influence) on air quality. However, up to now, there has been no systematic way to determine the relative importance of these two main phenomena on air quality. Most current related research can only show they have an impact on air quality. Little has compared them quantitatively.;This research first investigated whether the frequency of calm/light wind conditions is closely related to the concentration of pollutants. The plotted charts show high wind speed with low pollutant concentration and vice versa. Although the frequency distributions of wind speed in 2000 -- 2003 versus 2004 -- 2007 do show that there was a higher frequency of low wind speeds in the latter period, when pollution levels are compared during periods of similar wind speed, they are higher in the latter period than in the former. A linear decomposition-based methodology is proposed to distinguish the relative importance of these two main phenomena on air quality. Based on the hourly wind data (speed and direction) and pollutant concentration, the wind frequency and pollutant emission "roses" (circular frequency diagrams) are established. Hypothetical pollutant concentration can be calculated from these two roses. By comparing the hypothetical pollutant concentration with the actual measurement, the relative importance of these two main phenomena on average pollutant concentration in two periods can be determined respectively quantitatively.;Last, the respirable suspended particulates (RSP), ozone (O3), nitrogen dioxide (NO2) and sulphur dioxide (SO2) in 2000 -- 2007 in HK were analyzed and two past air quality related controversial cases were also studied.;It is shown that the non-wind influence on observed air quality in HK was more significant than the wind influence in annual-based comparison.
机译:香港(香港)的空气污染日益严重。许多人对空气质量的变化表示关注。近年来,在香港和珠江三角洲(PRD)地区已经出现了问题和担忧。通常,人们认为应归咎于排放增加造成该地区的空气污染。但是,当局解释说,在稳定/轻风条件下增加发生率对阻止空气污染物的扩散也很重要。了解真正原因可以有益于制定最佳控制策略。;如果我们能够区分风的变化(风的影响)和排放的强度(非风能)的各自贡献,则可以解决“排放”和“风向”观点之间的冲突。风的影响)对空气质量的影响。但是,到目前为止,还没有系统的方法来确定这两种主要现象对空气质量的相对重要性。当前大多数相关研究只能表明它们对空气质量有影响。很少有人对它们进行定量比较。;本研究首先研究了平静/微风条件的频率是否与污染物浓度密切相关。绘制的图表显示高风速且污染物浓度低,反之亦然。尽管2000年-2003年与2004年-2007年的风速频率分布确实表明,在后期,低风速的频率更高,但在相似风速的时期比较污染水平时,低风速的频率更高。后一个时期比前一个时期大。提出了一种基于线性分解的方法来区分这两个主要现象对空气质量的相对重要性。根据每小时的风数据(速度和方向)和污染物浓度,建立风频率和污染物排放“上升”(圆形频率图)。假设的污染物浓度可以从这两朵玫瑰中计算出来。通过将假设污染物浓度与实际测量值进行比较,可以分别定量确定这两个主要现象在两个时期内对平均污染物浓度的相对重要性。最后,可吸入悬浮颗粒物(RSP),臭氧(O3),二氧化氮分析了2000年至2007年香港的(NO2)和二氧化硫(SO2)并研究了两个过去与空气质量有关的有争议案例;表明非风对香港观测空气质量的影响比年度比较中的风影响。

著录项

  • 作者

    Wong, Kit Man.;

  • 作者单位

    Hong Kong University of Science and Technology (Hong Kong).;

  • 授予单位 Hong Kong University of Science and Technology (Hong Kong).;
  • 学科 Atmospheric Sciences.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 455 p.
  • 总页数 455
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:44:30

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