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Community Air Pollution Monitoring in Taiwan

tschuetz
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From Tu (2020): "In Taiwan, the community air-monitoring projects often have difficulties in identifying the specific pollution sources due to the historical patterns of industrial development that tend to set up dense clusters of different factories in the industrial parks along the west coast (Liu 2012).3 The agglomeration of polluting facilities complicates pollution identification that further creates significant knowledge gaps between the predicted emission, the actual emission, and the community sensory experiences throughout the policy process. This pattern of development has somehow constrained Taiwan community air monitoring to target the specific polluters."

What steps does a user need to take to produce analytically sharp or provocative data visualizations with this data resource?

albrowne
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The UI for the portal is straightforward and easy to use and also doubles as a GIS. Through the advanced search function users can use either the criteria or filter tabs to narrow their searches to specific sites. For example when you narrow down the search to RMP facilities only you can quickly pinpoint all of these facilities on a map of an area to show how burdened an area may be with these types of facilities.

What data visualizations illustrate how this data set can be leveraged to characterize environmental injustice in different sett

albrowne
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The data can very quickly show you how many facilities a geographical area may have. This can allow users to see how burdened a neighborhood for example may be with specific facilities.

What visualizations can be produced with this data resource and what can they be used to demonstrate?

albrowne
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One of the only data visualizations this site offers is plotting down pinpoints on a map showing individual facilities. If there is more than one site in a certain geographical area then it will group the sites together and provide a circle for where the sites are contained with the number of sites listed on the circle. This makes this data resource not super flexible in ways it can display information. However this is a helpful visualization as it can quickly show you how many specific facilities a certain location may have

 

You can also generate simple graphs with the data that displays the amounts of certain facilities throughout the state. This is a good tool for tracking all regulated facilities which can help users address Ej on a statewide scale.

What can be demonstrated or interpreted with this data set?

albrowne
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What this lacks in visualizations it makes up for drastically in easy to use UI and for creating one location for all of the state's facility data. By using its advanced search tool users can quickly find a plethora of data on extremely specific sites. This tool will show when the facilities had their most recent evaluations and whether or not there were violations, rough estimates on onsite stored chemicals, which regulatory programs they are a part of, CalEnviroScreen percentile ranges, and a contact list for facility employees.

How scales (county, regional, neighborhood, census tract) can be seen through this data resource?

albrowne
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This data resource can scale from the state level down to the census tract in terms of facility locations. For data visuals it groups sites together so you can not get a comprehensive visualization of regulated sites beyond the neighborhood and census tract level.