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Variation of annual average PM10 concentration in time and space
|關鍵字:||suspended particles;Kriging;PM10;懸浮微粒;克利金法;PM10||Project:||水土保持學報, Volume 46, Issue 1, Page(s) 927-940.||摘要:||
近年來由於台灣的快速發展，加上土地的開發與自然災害，促使揚塵發生的機率提高。台灣由於地理位置的關係，時常發生地震、颱風等自然災害，又因台灣地形陡峭、雨量集中導致雨水停留在陸地上之時間很短，再加上東北季風之影響，因此導致台灣嚴重的揚塵問題，故如何有效的預防與抑制揚塵問題之發生是一個重要且迫切的問題。本研究採用從 1994 年到 2012 年中部及雲嘉南地區空氣品質監測站之 PM10 濃度共 19 年之資料，繪製盒鬚圖以比較各測站 PM10 濃度的大小與其分散程度，再利用克利金法來繪製等值圖以比較歷年台灣 PM10 濃度之空間變化，並利用時間序列模式推估 2013 年各測站PM10 的濃度，再使用克利金法得出 2013 年 PM10 濃度的等值圖，以作為揚塵災害防治之參考。
In recent years, due to the rapid economic development of Taiwan, development of land use, and natural disasters, the probability of dust events was increased. Natural disasters such as earthquakes and typhoons frequently attacked Taiwan due to its special geographical location. The steep terrain and Northeast monsoon further made the problem worse. Therefore, how to effectively prevent and control dust problems is a very urgent and important issue nowadays. In this study, the data were collected from 19 air quality monitoring stations in the middle and south Taiwan from 1994 to 2012. Boxplots of PM10 concentration were generated to facilitate the comparison as well as show the variations. The kriging method was used to generate isoconcentration maps of PM10 so that the spatial variation can be easily compared. The first order autoregressive model was used to predict the annual average PM10 concentration of 19 air quality monitoring stations for year 2013. Then, kriging method was further applied to generate a predicted isoconcentration maps for year 2013 which was a useful reference for dust prevention and control.
|Appears in Collections:||第46卷 第01期|
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