<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20180111</CreaDate>
<CreaTime>12232700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">BMPSPT</itemName>
<nativeExtBox>
<westBL Sync="TRUE">359107.160000</westBL>
<eastBL Sync="TRUE">480082.390000</eastBL>
<southBL Sync="TRUE">116483.732000</southBL>
<northBL Sync="TRUE">191836.430000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Maryland_FIPS_1900</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Maryland_FIPS_1900&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-77.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.45],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.66666666666666],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26985]]&lt;/WKT&gt;&lt;XOrigin&gt;-36747100&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091500&lt;/YOrigin&gt;&lt;XYScale&gt;1000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.002&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;26985&lt;/WKID&gt;&lt;LatestWKID&gt;26985&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20250408</SyncDate>
<SyncTime>12275500</SyncTime>
<ModDate>20250408</ModDate>
<ModTime>12275500</ModTime>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<ArcGISProfile>FGDC</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20250408</mdDateSt>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distributor>
<distorCont>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<ordInstr>DC datasets can be downloaded from "https://opendata.dc.gov".</ordInstr>
</distorOrdPrc>
</distributor>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Best Management Practices</resTitle>
<date>
<pubDate>2015-11-17T00:00:00</pubDate>
<reviseDate>2026-04-07T07:16:07</reviseDate>
</date>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<citRespParty>
<rpOrgName>Department of Energy and Environment</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<rpPosName>Green Infrastructure Incentives and Assessment Branch</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>1200 1st Street NE</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20002</postCode>
<eMailAdd>doeeit@dc.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 535-2600</voiceNum>
</cntPhone>
</rpCntInfo>
</citRespParty>
</idCitation>
<searchKeys>
<keyword>Best Management Practices</keyword>
<keyword>BMP</keyword>
<keyword>District of Columbia</keyword>
<keyword>DOEE</keyword>
<keyword>environment</keyword>
<keyword>green infrastructure</keyword>
<keyword>LID</keyword>
<keyword>pollution</keyword>
<keyword>retention</keyword>
<keyword>runoff</keyword>
<keyword>stormwater</keyword>
<keyword>SWM</keyword>
<keyword>Washington DC</keyword>
<keyword>water quality</keyword>
<keyword>dc</keyword>
</searchKeys>
<idPurp>These are structural controls used to reduce the effects of stormwater pollution and help to restore the District’s waterbodies.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Best Management Practices (BMPs) are structural controls used to manage stormwater runoff. Examples include green roofs, rain gardens, and cisterns. BMPs reduce the effects of stormwater pollution and help restore the District’s waterbodies. The District’s stormwater regulations require that large construction or renovation projects install BMPs to manage stormwater runoff once construction is complete. The District also provides financial incentives for properties that install BMPs voluntarily. This dataset includes BMPs that were installed to comply with the District’s stormwater regulations, to participate in the Stormwater Retention Credit (SRC) trading program, to participate in the RiverSmart Homes program, to participate in the Green Roof Rebate program, or to participate in the RiverSmart Rewards stormwater fee discount program. These BMPs have been reviewed by the Department of Energy and Environment (DOEE) as part of these programs. This dataset is updated weekly with data from the District’s Stormwater Database.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Department of Energy and Environment</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This work is licensed under a &lt;/SPAN&gt;&lt;A href="https://creativecommons.org:443/licenses/by/4.0/" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creative Commons Attribution 4.0 International License&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<placeKeys>
<keyword>District of Columbia</keyword>
<keyword>Washington DC</keyword>
</placeKeys>
<envirDesc Sync="FALSE">Esri ArcGIS 13.2.0.49743</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="FALSE">-77.225759</westBL>
<eastBL Sync="FALSE">-76.812535</eastBL>
<northBL Sync="FALSE">39.000862</northBL>
<southBL Sync="FALSE">38.786659</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Washington DC</exDesc>
</dataExt>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="002"/>
</maintFreq>
<maintCont>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</maintCont>
</resMaint>
<idPoC>
<rpOrgName>Department of Energy and Environment</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<rpPosName>Green Infrastructure Incentives and Assessment Branch</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>1200 1st Street NE</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20002</postCode>
<eMailAdd>doeeit@dc.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 535-2600</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Department of Energy and Environment</displayName>
</idPoC>
<idPoC>
<editorSource>external</editorSource>
<editorDigest>3cf56e1fc8cc8205cbc5981374be7a2dd7af6e10</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>GIS Data Coordinator</displayName>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<themeKeys>
<keyword>Stormwater Management</keyword>
</themeKeys>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</maintCont>
</mdMaint>
<dqInfo>
<dataLineage>
<prcStep>
<stepDesc>Staff updated added column 'NORMALIZED_RETROFIT'</stepDesc>
<stepDateTm>2020-01-17T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>DOEE requested several field deletions, addition of one field and updating FID for certain fields.
changed
MAJOR_REGULATED_ACTIVITY
SRC_GENERATION
RIVERSMART_REWARDS
GREEN_ROOF_REBATE
RIVERSMART_HOMES
DATE_REMOVED
PROJECT_TYPE
new
RIVERSMART_COMMUNITIES
delete
BMP_NUMBER
BMP_TYPE_ACCESS
RECENT_CONSTRUCTION_INSPECTION
FINAL_APPROVAL_NOTICE_SENT
AREA_NAME
FEE_OWNER
PRIORITY
EDIT_CONSTRUCTION_INFORMATION
EDIT_MAINTENANCE_INFORMATION
OWNER_NAME
OPEN_PLAN_DOCUMENTS
INSPECTOR_NAME
BMP_BUILT_STATUS
FINAL_CONSTRUCTION_INSPECTION
RECENT_MAINTENANCE_INSPECTION</stepDesc>
<stepDateTm>2023-09-22T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>Schema changes
Repointed FID for ETL to the following fields:
MAJOR_REGULATED_ACTIVITY
SRC_GENERATION
RIVERSMART_REWARDS
GREEN_ROOF_REBATE
RIVERSMART_HOMES
DATE_REMOVED
PROJECT_TYPE
New field:
RIVERSMART_COMMUNITIES
Deleted the following fields:
BMP_NUMBER
BMP_TYPE_ACCESS
RECENT_CONSTRUCTION_INSPECTION
FINAL_APPROVAL_NOTICE_SENT
AREA_NAME
FEE_OWNER
PRIORITY
EDIT_CONSTRUCTION_INFORMATION
EDIT_MAINTENANCE_INFORMATION
OWNER_NAME
OPEN_PLAN_DOCUMENTS
INSPECTOR_NAME
BMP_BUILT_STATUS
FINAL_CONSTRUCTION_INSPECTION
RECENT_MAINTENANCE_INSPECTION</stepDesc>
<stepRat>Requested by DOEE</stepRat>
<stepDateTm>2023-09-22T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="009"/>
</role>
<displayName>Office of the Chief Technology Officer</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>Added four new fields to the ETL process:
GREEN_AREA_RATIO
PROJECT_NAME
DOEE_MAINTAINS
RIVERSMART_SCHOOLS</stepDesc>
<stepRat>Requested by DOEE</stepRat>
<stepDateTm>2025-04-08T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="009"/>
</role>
<displayName>Office of the Chief Technology Officer</displayName>
</stepProc>
</prcStep>
</dataLineage>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="BMPSPT">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">102296</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26985"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="BMPSPT">
<enttyp>
<enttypl Sync="FALSE">BMPSPT</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">102296</enttypc>
<enttypd>List of Best Management Practice stormwater abatement locations.</enttypd>
<enttypds>OCTO</enttypds>
</enttyp>
<attr>
<attrlabl Sync="TRUE">BMP_ID_NUMBER</attrlabl>
<attalias Sync="FALSE">BMP ID Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This is the unique number assigned to each BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BMP_TYPE</attrlabl>
<attalias Sync="FALSE">BMP Type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This is a description of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BMP_SUB_TYPE</attrlabl>
<attalias Sync="FALSE">BMP Sub Type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This indicates the BMP subtype, if applicable.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">UNDERDRAIN</attrlabl>
<attalias Sync="FALSE">Underdrain</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This indicates if the BMP has an underdrain or not.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BMP_GROUP_ABBREVIATION</attrlabl>
<attalias Sync="FALSE">BMP Group Abbreviation</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies an abbreviated BMP group used by DOEE and included in the Stormwater Management Guidebook.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">INSTALLATION_DATE</attrlabl>
<attalias Sync="FALSE">Installation Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This is the date that the BMP was installed.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">DATE_REMOVED</attrlabl>
<attalias Sync="FALSE">Date Removed</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If applicable, this is the date that the BMP was removed.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CONTRIBUTING_DRAINAGE_AREA_FT2</attrlabl>
<attalias Sync="FALSE">Contributing Drainage Area Square Feet</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">POST_PROJECT_NATURAL_FT2</attrlabl>
<attalias Sync="FALSE">Natural Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the post project natural land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">POST_PROJECT_COMPACTED_FT2</attrlabl>
<attalias Sync="FALSE">Compacted Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the post project compacted land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">POST_PROJECT_IMPERVIOUS_FT2</attrlabl>
<attalias Sync="FALSE">Impervious Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the post project impervious land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">POST_PROJECT_BMP_AREA_FT2</attrlabl>
<attalias Sync="FALSE">BMP Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the BMP's surface area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">POST_PROJECT_VEHICULAR_FT2</attrlabl>
<attalias Sync="FALSE">Vehicular Access Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the post-project project vehicular area in the BMP's contributing drainage area (in square feet). Vehicular access area is a subset of impervious area.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PRE_PROJECT_NATURAL_FT2</attrlabl>
<attalias Sync="FALSE">Pre-project Natural Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the pre-project natural land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PRE_PROJECT_COMPACTED_FT2</attrlabl>
<attalias Sync="FALSE">Pre-project Compacted Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the pre-project compacted land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PRE_PROJECT_IMPERVIOUS_FT2</attrlabl>
<attalias Sync="FALSE">Pre-project Impervious Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the pre-project impervious land cover in the BMP's contributing drainage area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PRE_PROJECT_BMP_AREA_FT2</attrlabl>
<attalias Sync="FALSE">Pre-project BMP Land Cover</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the pre-project BMP surface area (in square feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PRE_PROJECT_VEHICULAR_FT2</attrlabl>
<attalias Sync="FALSE">Pre-project Vehicular Access Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the pre-project vehicular area in the BMP's contributing drainage area (in square feet). Vehicular access area is a subset of impervious area.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">STORAGE_VOLUME_FT3</attrlabl>
<attalias Sync="FALSE">Storage Volume Cubic Feet</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the BMP's storage volume (in cubic feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">RETENTION_VOLUME_FT3</attrlabl>
<attalias Sync="FALSE">Retention Volume Cubic Feet</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the BMP's retention volume (in cubic feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ADDITIONAL_VOLUME_TREATED_FT3</attrlabl>
<attalias Sync="FALSE">Additional Volume Treated Cubic Feet</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the BMP's treatment volume (in cubic feet).</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">MAJOR_DRAINAGE_BASIN</attrlabl>
<attalias Sync="FALSE">Major Drainage Basin</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies the BMP's major drainage basin.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">XCOORD</attrlabl>
<attalias Sync="TRUE">X Coordinate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the X coordinate of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">YCOORD</attrlabl>
<attalias Sync="TRUE">Y Coordinate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the Y coordinate of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">MINOR_DRAINAGE_BASIN</attrlabl>
<attalias Sync="FALSE">Minor Drainage Basin</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies the BMP's minor drainage basin.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">NUMBER_OF_TREES</attrlabl>
<attalias Sync="FALSE">Number of Trees</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This indicates the number of trees planted.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PROPRIETARY_PRACTICE_NAME</attrlabl>
<attalias Sync="FALSE">Proprietary Practice Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If applicable, this is the type of proprietary practice installed.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">DESCRIBE_PROPRIETARY_PRACTICE</attrlabl>
<attalias Sync="FALSE">Proprietary Practice Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If applicable, this is a description of the proprietary practice installed.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">GIS_LAST_MOD_DTTM</attrlabl>
<attalias Sync="FALSE">Date OCTO Last Pulled Data</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO internal field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LATITUDE</attrlabl>
<attalias Sync="FALSE">Latitude</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the latitude of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LONGITUDE</attrlabl>
<attalias Sync="FALSE">Longitude</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>This is the longitude of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SE_ANNO_CAD_DATA</attrlabl>
<attalias Sync="FALSE">CAD Annotation</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO internal field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">MAJOR_REGULATED_ACTIVITY</attrlabl>
<attalias Sync="FALSE">Major Regulated Activity</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If yes, then the BMP was installed as part of a project that triggered the District's stormwater management regulations.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SRC_GENERATION</attrlabl>
<attalias Sync="FALSE">Storm Retention Credits Generation</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If yes, then the BMP was used to generate Stormwater Retention Credits.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">RIVERSMART_REWARDS</attrlabl>
<attalias Sync="FALSE">RiverSmart Rewards</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If yes, then the BMP was used to provide a RiverSmart Rewards discount on the stormwater fee.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">GRAY_OR_GREEN_INFRASTRUCTURE</attrlabl>
<attalias Sync="FALSE">Gray or Green Infrastructure</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Identifies whether a BMP is considered green infrastructure or gray infrastructure.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PUBLIC_RIGHT_OF_WAY</attrlabl>
<attalias Sync="FALSE">Public Right of Way</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Identifies whether a BMP was installed in the public right of way.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PLAN_NUMBER</attrlabl>
<attalias Sync="FALSE">Plan Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Tracking number assigned by DOEE to projects with stormwater management plans.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BMP_GROUP</attrlabl>
<attalias Sync="FALSE">BMP Group</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This is a description of the BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ADDRESS</attrlabl>
<attalias Sync="FALSE">Address</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The address (or approximate address) where the BMP is installed.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">DATE_APPROVED</attrlabl>
<attalias Sync="FALSE">Date Approved</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This is the date DOEE approved the stormwater management plan that includes this BMP.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PROJECT_TYPE</attrlabl>
<attalias Sync="FALSE">Project Type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies the type of organization that owns the BMP or project.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SEWERSHED</attrlabl>
<attalias Sync="FALSE">Sewershed</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies the storm sewer system in which the BMP is located.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">INCLUDE_BUILT</attrlabl>
<attalias Sync="FALSE">Include Built</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Include built.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">INCLUDE_ALL</attrlabl>
<attalias Sync="FALSE">Include All</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Include all.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">WARD</attrlabl>
<attalias Sync="FALSE">Ward</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This identifies the DC ward in which the BMP is located.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">GIS_ID</attrlabl>
<attalias Sync="FALSE">GIS ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO GIS ID.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">GLOBALID</attrlabl>
<attalias Sync="FALSE">Global ID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Esri-generated ID.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CREATOR</attrlabl>
<attalias Sync="FALSE">Creator</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO use field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CREATED</attrlabl>
<attalias Sync="FALSE">Created</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO use field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">EDITOR</attrlabl>
<attalias Sync="FALSE">Editor</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO use field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">EDITED</attrlabl>
<attalias Sync="FALSE">Edited</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>OCTO use field.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">GREEN_ROOF_REBATE</attrlabl>
<attalias Sync="FALSE">Green Roof Rebate</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If yes, the BMP received a green roof rebate.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">RIVERSMART_HOMES</attrlabl>
<attalias Sync="FALSE">RiverSmart Homes</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>If yes, the BMP was installed through the RiverSmart Homes program.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">NORMALIZED_RETROFIT</attrlabl>
<attalias Sync="FALSE">Normalized Retrofit</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">10</attscale>
<attrdef>Normalized value of the BMP as compared to standard of retaining 1.2 inches of runoff from 1 square foot of impervious land cover.</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl>RIVERSMART_COMMUNITIES</attrlabl>
<attalias>RiverSmart Communities</attalias>
<attrdef>If yes, the BMP was installed through the RiverSmart Communities program.</attrdef>
<attrdefs>OCTO</attrdefs>
<attrtype>String</attrtype>
<attwidth>5</attwidth>
<atprecis>0</atprecis>
<attscale>0</attscale>
</attr>
<attr>
<attrlabl>GREEN_AREA_RATIO</attrlabl>
<attalias>Green Area Ratio</attalias>
<attrdef>If yes, the BMP was installed as part of a Green Area Ratio plan</attrdef>
<attrdefs>DOEE</attrdefs>
<attrtype>String</attrtype>
<attwidth>10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>PROJECT_NAME</attrlabl>
<attalias>Project Name</attalias>
<attrdef>A brief description of the project that included this BMP; this is only available if the BMP is maintained by DOEE</attrdef>
<attrdefs>DOEE</attrdefs>
<attrtype>String</attrtype>
<attwidth>200</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DOEE_MAINTAINS</attrlabl>
<attalias>DOEE Maintains</attalias>
<attrdef>If yes, this is a District government that is maintained by DOEE</attrdef>
<attrdefs>DOEE</attrdefs>
<attrtype>String</attrtype>
<attwidth>10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>RIVERSMART_SCHOOLS</attrlabl>
<attalias>RiverSmart Schools</attalias>
<attrdef>If yes, the BMP was installed through the RiverSmart Schools program</attrdef>
<attrdefs>DOEE</attrdefs>
<attrtype>String</attrtype>
<attwidth>10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="BMPSPT">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">102296</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
