<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230516</CreaDate>
<CreaTime>10545600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">wtr_service_cat</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983_HARN</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet</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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983_HARN&amp;quot;,DATUM[&amp;quot;D_North_American_1983_HARN&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;,1312333.333333333],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;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2893]]&lt;/WKT&gt;&lt;XOrigin&gt;-120561100&lt;/XOrigin&gt;&lt;YOrigin&gt;-95444400&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&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;0.0032808333333333331&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;2893&lt;/WKID&gt;&lt;LatestWKID&gt;2893&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20240924</SyncDate>
<SyncTime>15075200</SyncTime>
<ModDate>20240924</ModDate>
<ModTime>15075200</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.1.0.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">OPZ.wtr_service_cat_2023_Bill_18_23</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>Previously titled "Water Service Timing Categories". To delineate the official 2023 Water Service Categories. Updated For the 2022 Water Sewer Master Plan. Adopted by the Anne Arundel County Council by Bill No. 53-22 and as amended by Bill No. 18-23. Effective Date: May 29, 2023; Subject to Section 4 of Bill 18-23.
Data source: Office of Planning and Zoning Long Range Planning Section. Last Updated by Planning and Zoning - Walter Bruce Huffman III on 5/16/2023
</idPurp>
<idCredit>Anne Arundel County Office of Planning &amp; Zoning GIS (Geographic Information Systems), Office of Planning and Zoning Long Range Planning Section, Department of Health, Department of Public Works</idCredit>
<searchKeys>
<keyword>Water Sewer Master Plan</keyword>
<keyword>Bill 18-23. Utilities</keyword>
<keyword>Anne Arundel County</keyword>
<keyword>Office of Planning and Zoning</keyword>
<keyword>2023 Service Categories</keyword>
<keyword>MD</keyword>
<keyword>Maryland</keyword>
<keyword>AACo</keyword>
</searchKeys>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;2023 Water Service Categories for Anne Arundel County, MD. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Created by Office of Planning and Zoning Long Range Planning Section - Desirae Williams and Brent Efune&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Last Updated by Planning and Zoning - Walter Bruce Huffman III on 5/16/2023&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2893"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="wtr_service_cat">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="wtr_service_cat">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="wtr_service_cat">
<enttyp>
<enttypl Sync="FALSE">wtr_service_cat</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<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">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">water_type</attrlabl>
<attalias Sync="TRUE">WATER_TYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20240924</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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=</Data>
</Thumbnail>
</Binary>
</metadata>
