<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20240307</CreaDate>
<CreaTime>09382200</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">ms303d_2020p</itemName>
<nativeExtBox>
<westBL Sync="TRUE">325954.335900</westBL>
<eastBL Sync="TRUE">645019.864900</eastBL>
<southBL Sync="TRUE">1039767.682600</southBL>
<northBL Sync="TRUE">1578179.809800</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">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">MSTM</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/10.7'&gt;&lt;WKT&gt;PROJCS[&amp;quot;MSTM&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,1300000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-89.75],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9998335],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,32.5],UNIT[&amp;quot;Meter&amp;quot;,1.0]],VERTCS[&amp;quot;NAVD_1988&amp;quot;,VDATUM[&amp;quot;North_American_Vertical_Datum_1988&amp;quot;],PARAMETER[&amp;quot;Vertical_Shift&amp;quot;,0.0],PARAMETER[&amp;quot;Direction&amp;quot;,1.0],UNIT[&amp;quot;Meter&amp;quot;,1.0]]&lt;/WKT&gt;&lt;XOrigin&gt;-5122200&lt;/XOrigin&gt;&lt;YOrigin&gt;-12297100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-1073.74182475&lt;/MOrigin&gt;&lt;MScale&gt;3999999.9962747102&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&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;VCSWKID&gt;5703&lt;/VCSWKID&gt;&lt;LatestVCSWKID&gt;5703&lt;/LatestVCSWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20200306</SyncDate>
<SyncTime>14184400</SyncTime>
<ModDate>20200306</ModDate>
<ModTime>14184400</ModTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<ArcGISProfile>FGDC</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEASwBLAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpIndName>Brad Segrest</rpIndName>
<rpOrgName>MDEQ</rpOrgName>
<rpPosName>GIS Analyst Office of Pollution Contrl</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>601-961-5657</voiceNum>
</cntPhone>
<cntAddress addressType="physical">
<delPoint>515 E Amite St</delPoint>
<city>Jackson</city>
<adminArea>MS</adminArea>
<postCode>39201</postCode>
<country>US</country>
<eMailAdd>brad_segrest@deq.state.ms.us</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20200306</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<idCitation>
<resTitle Sync="TRUE">ms303d_2020p</resTitle>
<date>
<pubDate>2014-04-01</pubDate>
</date>
<resEd>Working</resEd>
<citRespParty>
<rpOrgName>Brad Segrest, MDEQ, GIS Analyst Office of Pollution Contrl</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<datasetSeries>
<seriesName>Mississippi 2014 305b Assessment Streams and Rivers</seriesName>
<issId>1</issId>
</datasetSeries>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This data set is maintained as a depiction of the Waters of the State of Mississippi and their condition as per Section 305b of the Clean Water Act. It is modified every two years in preperation for the State's submittal to USEPA. This is a working copy. The final data set is produced from this source.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>This data set is maintained as a depiction of the Waters of the State of Mississippi and their condition as per Section 305b of the Clean Water Act. It is modified every two years in preperation for the State's submittal to USEPA. This is a working copy. The final data set is produced from this source.</idPurp>
<idCredit>Mississippi Departmenty of Environmental Quality, Office of Pollution Control, Field Services Division, Water Quality Assessment Branch</idCredit>
<idStatus>
<ProgCd value="007"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="007"/>
</maintFreq>
</resMaint>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Categories</resTitle>
</thesaName>
<keyword>environment</keyword>
</themeKeys>
<themeKeys>
<keyword>CWA</keyword>
<keyword>305b</keyword>
<keyword>305(b)</keyword>
<keyword>Clean Water Act</keyword>
</themeKeys>
<searchKeys>
<keyword>CWA</keyword>
<keyword>environment</keyword>
<keyword>305b</keyword>
<keyword>305(b)</keyword>
<keyword>Clean Water Act</keyword>
</searchKeys>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-91.762024</westBL>
<eastBL>-88.096147</eastBL>
<southBL>30.160401</southBL>
<northBL>35.009539</northBL>
</GeoBndBox>
</geoEle>
<vertEle>
<vertMinVal Sync="TRUE">0</vertMinVal>
<vertMaxVal Sync="TRUE">821</vertMaxVal>
</vertEle>
</dataExt>
<dataExt>
<exDesc>Assessments are base on a 5 year data window. This assessment's data window is 1Jan2008 through 31December2012. Assessments were actually georeferenced from 1October 2013 through 1 April 2014.</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2008-01-01</tmBegin>
<tmEnd>2012-12-31</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
</dataIdInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="ms303d_2020p">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="ms303d_2020p">
<enttyp>
<enttypl Sync="TRUE">ms303d_2020p</enttypl>
<enttypd>Streams and Rivers based on the 1:100k NHD and Modified by MDEQ</enttypd>
<enttypds>MDEQ</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="TRUE">NAME</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">MWS</attrlabl>
<attalias Sync="TRUE">MWS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">REMAINING</attrlabl>
<attalias Sync="TRUE">REMAINING</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number from a previous Versoin</attrdef>
<attrdefs>Previous Version</attrdefs>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Acres</attrlabl>
<attalias Sync="TRUE">Acres</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">WBName</attrlabl>
<attalias Sync="TRUE">WBName</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">Pollutant</attrlabl>
<attalias Sync="TRUE">Pollutant</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">ListStatus</attrlabl>
<attalias Sync="TRUE">ListStatus</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE_Length</attrlabl>
<attalias Sync="TRUE">SHAPE_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE_Area</attrlabl>
<attalias Sync="TRUE">SHAPE_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
<formatVer>Working Copy</formatVer>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="0"/>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="ms303d_2020p">
<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">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
