<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240512</CreaDate>
<CreaTime>21482300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>brownfields</resTitle>
</idCitation>
<idAbs>EPA’s Brownfields Program provides grants and technical assistance to communities, states, tribes and others to assess, safely clean up and sustainably reuse contaminated properties. To learn about EPA’s broader efforts to put previously contaminated properties back into productive use, read about our Land Revitalization Program.</idAbs>
<searchKeys>
<keyword>targeted brownfield assessments</keyword>
<keyword>Environmental Protection Agency</keyword>
<keyword>land revitalization</keyword>
<keyword>technical assistance</keyword>
</searchKeys>
<idPurp>These are targeted brownfield assessments.</idPurp>
<idCredit>New Mexico Environment Department Ground Water Quality Bureau</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
