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Air Quality Analysis And Visualization Based On Multi-source Data

Posted on:2019-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:C ChenFull Text:PDF
GTID:2321330563454275Subject:Surveying the science and technology
Abstract/Summary:PDF Full Text Request
In recent years,China is facing increasingly serious situation of environmental security.Due to the excessive or secret discharge of pollutants by some enterprises in our country and frequent occurrence of sudden environmental accidents have made our environment worse and worse.Therefore,our country needs to accomplish the transformation as soon as possible to "Intelligent Environmental Protection",build intelligent and environmental information platform,to manage and analyze environment with more intelligent methods.Air quality directly affect the living standard of people,so the air pollution monitoring and analysis is a focus of intelligent environmental protection,This dissertation this paper mainly by completing multiple source air quality data collection and management.This dissertation mainly completed air quality data collection and management of the multi-source,studied relevant air quality analysis methods,and finally established an integration information platform from air quality data collection,analysis to results visualization.The dissertation took Sichuan province as the research area,completed air quality analysis and visualization based on multi-source data,and established a visual platform for multi-source data.The main work is as follows:(1)In the aspect of data sources,air monitoring factor data was obtained through web crawler technology;Meteorological auxiliary data was obtained through API(Application Programming Interface);Social and economic data through manual acquisition.The above data is a necessary data source for research on the spatial distribution of air quality,the relationship between air quality and influencing factors.(2)In terms of data analysis,the dissertation,by using grey correlation analysis method,established a correlation model of air quality,selected 15 indicators from the human and natural factors and calculated the association degree between air quality and various indices.Meanwhile,it chose the better interpolation analysis which was more suitable to air quality in Sichuan province after comparing inverse distance weighted(IDW)method and Ordinary Kriging interpolation method.(3)In the aspect of data visualization,the dissertation combined above data obtaining and analysis and established an integrated information platform of air quality which implemented real-time release of air quality.It made sorts of thematic maps,like classification maps,heat maps,for displaying with GIS(Geographic Information System)spatial analysis technology and its visualization.The correlation analysis part of the system is mainly about results display of the grey relation model of air quality oriented in a form of histogram.
Keywords/Search Tags:Air quality monitor, Automation, Visualization, Grey correlation analysis
PDF Full Text Request
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