<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230721</CreaDate>
<CreaTime>17123400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Air Basins for IMPEI use</resTitle>
</idCitation>
<idAbs>This feature layer service is designed for the Integrated Multi-Pollutant Emission Inventory (IMPEI) Database System. California Air Basins are geographical areas within California that share similar meteorological and geographical conditions and are delineated based on considerations of air pollution and its transport. They are defined by state statute and regulation under the California Health and Safety Code and California Code of Regulation. This layer, updated as of 2010, displays the boundaries and names of the air basins. It uses the WGS 1984 Web Mercator Auxiliary Sphere projection.</idAbs>
<searchKeys>
<keyword>California Air Basins</keyword>
<keyword>Authoritative</keyword>
<keyword>CARB</keyword>
<keyword>Air Basin</keyword>
<keyword>California Air Resources Board</keyword>
<keyword>IMPEI</keyword>
<keyword>Integrated Multi-Pollutant Inventory</keyword>
</searchKeys>
<idPurp>This feature layer service is designed as an air basin reference for the Integrated Multi-Pollutant Inventory (IMPEI) database system. Air Basins, defined by California statutes and regulations, represent regions with similar meteorological and geographical conditions. They are delineated with considerations for political boundaries and their relationship to the transport and concentration of air pollution.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
