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首页> 外文期刊>Fresenius Environmental Bulletin >DERIVATION OF PM10 LEVELS USING OBRA ON LANDSAT 5 TM IMAGES: A CASE STUDY IN IZMIR, TURKEY
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DERIVATION OF PM10 LEVELS USING OBRA ON LANDSAT 5 TM IMAGES: A CASE STUDY IN IZMIR, TURKEY

机译：使用OBRA在LANDSAT 5 TM图像上推导PM10水平：以土耳其伊兹密尔为例

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Remote sensing is a convenient and promising technique in air quality management. It can be used to determine local and global spatial distribution of Particulate Matter (PM10) data. Determination of PM10 data using multispectral satellite images' reflectance values was the main aim of this study. For this purpose, 19.02.2010 and 26.03.2011 dated Landsat 5TM multispectral satellite images were used. The PM10 data of Izmir, a metropolitan city in Turkey, was also gathered from in situ air quality measurement stations. The highest, lowest and average PM10 values measured were 172, 92.5 and 124.4 mu gm(-3) on 19.02. 2010, and 64.5, 31 and 48.7 mu gm(-3) on 26.03. 2011, respectively. Difference images, that were obtained by subtraction of atmospheric corrected images from top of atmosphere reflectance (TOA) calculated images, were used in the study. Optimum Band Ratio (OBRA) method was used to produce all possible band ratio (BR) indices of the difference images. Additionally, the filter sizes from 1x1 (direct value of a station) to 11x11 were applied to generate difference images for determining the suitable filter size correlated ones with in-situ PM10 data. The results were correlated with PM10 values. The BR of 1650 nm centered Mid-IR 1 (band 5) and 2315 nm centered Mid-lR 2 (band 7) with 3x3 filter size was found to be suitable to determine PM10 data with remote sensing. The highest correlation coefficients between PM10 and the values of [band 5 (B5)/band 7 (B7)] and B71B5 ratio indices were obtained as r=0.86 for 19.02. 2010 and 26.03. 2011, respectively. The results show that the B5/B7 and B71B5 ratio values of Landsat 5TM were more con-elated and appropriate than other BRs to determine PM 10. Additionally, the simulation of an online coupled regional meteorology-chemistry Enviro-HIRLAM model was run for the two dates. Model 45 h forecast results, being compatible with remote sensing results, indicated that the PM10 content in the region is higher on 19.02. 2010.
机译：遥感技术是空气质量管理中一种方便且有希望的技术。它可用于确定颗粒物（PM10）数据的局部和全局空间分布。使用多光谱卫星图像的反射率值确定PM10数据是本研究的主要目的。为此，使用了日期为2010年2月19日和2011年3月26日的Landsat 5TM多光谱卫星图像。土耳其大都市伊兹密尔的PM10数据也是从现场空气质量测量站收集的。在19.02上测得的最高，最低和平均PM10值为172、92.5和124.4μgm（-3）。 2010年，以及26.03日的64.5、31和48.7克gm（-3）。 2011年。在研究中使用了差异图像，该差异图像是通过从大气反射率（TOA）计算的图像顶部减去大气校正图像而获得的。最佳带宽比（OBRA）方法用于产生差异图像的所有可能的带宽比（BR）指数。此外，应用从1x1（站点的直接值）到11x11的过滤器大小生成差值图像，以确定与原位PM10数据相关的合适过滤器大小。结果与PM10值相关。发现具有3x3滤波器尺寸的1650 nm中心Mid-IR 1（波段5）和2315 nm中心Mid-1R 2（波段7）的BR适用于通过遥感确定PM10数据。获得的PM10与[带5（B5）/带7（B7）]和B71B5比率指数的值之间的最高相关系数为19.02的r = 0.86。 2010和26.03。 2011年。结果表明，与其他BR相比，Landsat 5TM的B5 / B7和B71B5比值更容易被确定，更适合确定PM10。此外，还针对该气象站运行了在线耦合的区域气象-化学Enviro-HIRLAM模型。两个日期。与遥感结果兼容的模型45 h预测结果表明，该区域的PM10含量较高，为19.02。 2010。

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