首页> 外文会议>Asian conference on remote sensing;ACRS >URBAN AIR POLLUTION IDENTIFICATION OF VULNERABLE AREA IN THE CITY OF COLOMBO USING GIS TECHNOLOGY
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URBAN AIR POLLUTION IDENTIFICATION OF VULNERABLE AREA IN THE CITY OF COLOMBO USING GIS TECHNOLOGY

机译:GIS技术在科伦坡市城市空气污染与脆弱区识别中的应用。

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Air pollution is a critical problem of urbanization and industrialization all over the world and there is no exception in Sri Lankan context where it has created number of problems in its capital city of Colombo. The study has examined the spatial variation in NO2 and SO2 concentration pertaining to air pollution and some areas have been identified as vulnerable areas. GIS technology has been used for various factors to display the spatial distribution pattern of air pollution. Other factors such as topographic features, weather conditions of the area have been considered even though in large areas climate may change within a short period. Air pollution is not similar everywhere due to land use pattern, surface temperature, vertical & horizontal space of the buildings and urbanization process. GIS model, spatial analysis, Regression analysis and many algorithms were used to represent the air pollution by using secondary data and Images. The methods of analysis of air pollution are very useful because of high resolution images & influential thermal bands. This study is based on the spatial distribution pattern of air pollution. It was therefore possible to draw maps for highly vulnerable sites by using multi criteria analysis.
机译:空气污染是全世界城市化和工业化的关键问题,在斯里兰卡,在首都科伦坡也造成了许多问题的情况也不例外。该研究调查了与空气污染有关的NO2和SO2浓度的空间变化,某些区域被确定为脆弱区域。 GIS技术已被用于各种因素,以显示空气污染的空间分布格局。即使在大范围内气候可能在短期内发生变化,也已考虑了其他因素,例如地形特征,该地区的天气状况。由于土地使用方式,地表温度,建筑物的垂直和水平空间以及城市化过程,空气污染在各地都不尽相同。 GIS模型,空间分析,回归分析和许多算法被用来通过二次数据和图像来表示空气污染。空气污染分析的方法非常有用,因为它具有高分辨率的图像和有影响力的热带。本研究基于空气污染的空间分布格局。因此,可以通过使用多标准分析为高度脆弱的站点绘制地图。

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