University of Twente Student Theses


Automatic modeling and mapping of particular matter (PM10)

Eshraghi, Mona (2013) Automatic modeling and mapping of particular matter (PM10).

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Abstract:World health organization (WHO) reported that outdoor air pollution caused 1.3 million death world wild (WHO, 2011) so it is a must to control the air quality and keep the pollution level under the thresholds defined by health organizations. It is also important that public be aware of near real time air quality situation where they live so they can make proper decision for their outdoor activity. Air quality maps are one way to inform governments and public about different pollutants concentration. Daily recorded particular matter with a diameter of 10 micrometers or less (PM10) is the pollutant considered for modeling and mapping in this study. For automatic near real time modeling PM10, we used kriging with external drift (KED) using LOTOS-EUROS model output as a covariate and to make this map available for the users in real time, we used web processing services (WPS)and web map services (WMS). The WPS used in this study is WPS4R produced by 52North which is capable of creating processes via R scripts. It enabled us to use R environment which is a very strong language for statistical data analysis. Two maps are produced for each request from users, PM10 concentration and uncertainty maps. To improve the usability of the automatic air pollution mapping system, two groups of users are considered who those are familiar with geostatistical concepts and, the other group, who are not. First group are allowed for selecting different automatic interpolation methods which are ordinary kriging, universal kriging and kriging with external drift so they can compare different methods’ result. For second group PM10 maps are produced using KED method as it was evident, in most of the days we analyzed, it gave better result in term of RMSE, ME and MSDR. Keywords air pollution, geostatistics, automatic spatial interpolation, web processing services
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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