20260423 10324000 1.0 FALSE ItemDescription HUC12 002 1156944.529271 1649568.596856 193203.710413 697431.639065 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet <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/2.9.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1968500.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-82.5],PARAMETER[&quot;Standard_Parallel_1&quot;,38.73333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,40.03333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,38.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,3735]]</WKT><XOrigin>-119670700</XOrigin><YOrigin>-95612900</YOrigin><XYScale>37024245.698512398</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.00328083333333333</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102723</WKID><LatestWKID>3735</LatestWKID></ProjectedCoordinateSystem> 20220809 14563400 20220809 14563400 The Ohio•Kentucky•Indiana Regional Council of Governments (OKI) created the Watersheds Layer from local, state and federal sources to summarize water quality in each drainage area denoted by a 12-digit Hydrologic Unit Code (HUC 12 watershed). This dataset works in tandem with OKI’s Stream Database to track water quality changes and identify priority areas in Butler, Clermont, Hamilton and Warren counties, Ohio. Each HUC 12 watershed’s designated beneficial uses are listed in accordance with state and federal guidelines. The Watersheds Layer also notes whether a watershed’s streams and rivers attain the water quality standards for their designated uses. In cases of non-attainment, the layer lists the causes and sources of impairment. Because water quality is dynamic, OKI plans to revise this and other Stream Database feature classes when substantial new data arises. Dataset users are encouraged to check for updates. Watersheds With Stream Database Attributes Hydrologic Unit Code HUC Watershed Watershed Boundary Dataset Stream Database Total Maximum Daily Load TMDL Integrated Report Watershed Action Plan Stewardship Organization Water Quality <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>For watersheds in the OKI region, the Watersheds Layer serves as a spatial-reference framework for water quality data and other datasets in the Stream Database. Watershed boundaries and Hydrologic Unit Codes (HUCs) were acquired from the Watershed Boundary Dataset (WBD), which delineates surface water drainage areas based on land area and topography. The HUC system provides a tiered approach to classifying and identifying these drainage areas.</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>For its four Ohio counties (Butler, Clermont, Hamilton and Warren) OKI obtained most of the watershed data and water quality assessments from the </SPAN></SPAN><SPAN STYLE="font-style:italic;"><SPAN>2010 Ohio Integrated Water Quality Monitoring and Assessment Report </SPAN></SPAN><SPAN><SPAN>(Ohio Environmental Protection Agency, Division of Surface Water, 2009-10). This includes evaluations of aquatic life uses, recreational uses, public water sources, and human health risks related to fish consumption. For each impaired watershed, the Watersheds Layer notes the status of a Total Maximum Daily Load (TMDL) study, which determines the total maximum daily loads of selected pollutants that can enter an impaired stream without ruining efforts to improve stream health. The layer also notes significant stewardship groups that have been organized to improve water quality in each watershed. OKI’s Stream Database Glossary defines the widely accepted concepts, specialized terms and acronyms associated with watersheds and water quality.</SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN /></P></DIV></DIV></DIV> OKI staff created this geographic information system layer with data from the Watershed Boundary Dataset, 2010 Ohio Integrated Water Quality Monitoring and Assessment Report, TMDL reports, Watershed Action Plans, and local stewardship organizations. By acceptance of this data, the user agrees to include a copy of this metadata record, including the liability disclaimer, whenever the user transmits or provides the GIS Data (or any portion of it) to another user. Esri ArcGIS 12.9.3.32739 1 -85.392207 -83.614742 39.909330 38.495461 20110815 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAiubmGzgM9xIEjUgFj2yQB+pFS1zepJbanqyRRvDMfJypeLeisr5xn vnPIH93nPFSRStatG0LTxtG6RzWksu8bWIUEE547gg44IPPTB4iKnyMdtLnQVSm1axgKiS5QBgDv HKgHOMsOBkggZputhm0a62kjCbmx3UHJH4gEfjXP6fdx20ZnhkQXDMBc2rbEaUr8pZOnoD6duCTR WrOnsrglc6uCeK5hWWFw8bdCKkrnNIvXgDSu8jWk1zKrB49phYyHb1AOCCM5zg47dOjrSnNTV0DV goooqxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFUNVLSWy2sZcPOwXcpxhQQW5+mR x61frn9c1B7e7iaKMP5BK57+a6kIv0zjPT7yntWdWTjBtbjW5XupJHtrGKCbyr9JGgUKo+YAFWOM YC8BvoMDmob6+nubWznbTGJfqCNySRspyvALDJ2nBH4cVDDeQNIs8SzMto0fmuRjYOS7P33Zdsge hzVsX0FvaWySGSNbef5WkUqjpuKDk8HCkNj24ryrW6Fi299Jd2lrY3ML8sjpK/KSxKASWOTz2OTy SD6gPsLtIbOCO/WP99EZoyEzuDEMy49QSOnHSoEutPEd3M1+Io1uC8Qh58oglSeh+8cnHQg+9Mhe 8ttPsGRkkWMqFnADKqHgq4B4wMcg44/O6knU+IFoNgt5Ly3Wxkdra0kaWMRIoVlLDeFY9D8jHjAx 6kgGtjShJDePaRXTz28CbZfNKkrIcEAY55BJOeBwBis7UIbvM0t2lp5dx5cCRJKwJbcdrbiBzkjI weB7YNhNNtzqaRKuEjtQk6oSiOSflyo4/vn8ee1OlWUJcz28gaudFkZxmiuKL2+mkeTH9nuLeV4J JYlTBQ5cLk9W2gY9Dx351o4tTiEqo5jtnjOQ8zTSqfVcjgkf7RAOMe/YsVDroTys1Z9RtrdmRmdn QZZYo2cr9doOPxpLbU7K8cJBcxu5GQmcMR6gHkjnr0rlLHU7oabBbRfZ7V8AyTyTBmPfOMHLHrjn 0NaWi200uqLeH97bCJgJzn53yMEbiT03DsBzjrRTrSlPltoJo6SiiiukQUUUUAFFFFABRRRQAUUU UAFFFFACMwRSzEBQMknsKxbzVLnyVvLVClvCjSSCYAeaMcAdSD3/ACHfi/qvk/2ZOJ92wgD5euSc DHvnHXisOCK61HcupSS213EBLHGpXy4zn5XGOSRg5BOOa5sRVdO1ikrnTqSVBIwSOnpXLT+Teahe QXHmyRrMSqxDJZ8AduygAenzYOasrrd1NYb4Ghk8vzBPOinaMOACo5BJXLYyQOKrG2t9O1OS5hJX 7Osf2jB+Z1YtudsDk52knr8hrPE1Ytcq3CKFtrdY/Dd+FTa1wZQoKgFifkXheMnA6cVNNcT3U1vA sJN3bzBpYiT5RG04JbGAMkEcZyOncSz2s2xHs3jmtxJ53kM2Mnk/KwzxuwcY6jqBTZrmO4mylvfR XiLzsTBVT0zztYZBx17471wXu7ljv7Tsb2wmjuJkhdkdZIxIC2BkEr6jAyDiqeqJcLoM11EmLqaI xyRAf67dkDgdG5zxn05pljDYX1hdC8nSaOABCclRGoVW6HkfMD154xS25e2MRkgeKVpJNl1dgy7Y 8My9WyvyjkcdPeqSUXoIuQpHrIY3b52H/j12lfKJUrk7gGJwTg8D06Zpq2Ui6lJa/aZjbSxiRyzZ ckZXbuHIGMdeuOvWoVjkvdSG26uo5vKIaUReUCnQDa3J5JOccHpgdX3NjP8AbVWW9mCyQtDDLHlW Ruo3kcHtg8dOnJqdna4y3qKwxaebKCNFkkG2CNMLhuobHGADzn2rJvIVgSManb2qs64ku5MTtnvt DYKjqRgED0FS2j3NlayXKQwmSSRkEBy0jspwfnGSfmDHnOBjp2ifeb+4hkJuWkRfMnjgDlCCf3Q4 2qQSTljwCPTNVFNCNG3m062cW2lxwy3DAkhHGQAcZduTjJx3P5Ve0WSRrJoZggmt5DG+zOCeGyM+ zCsWX7NCRbX1s0ErAyxzQyM78dSzAAjHHXjjjpVrTb17dkuJWV7a8cK8q/wSgbMn/ZYIBn1x68dG Fkoz16ikdDRRRXpEBRRRQAUUUUAFFFFABRRRQAVWbULRJZY2uYleEbpFLYKjGc1ZrmLi2a+tzCgQ XMs80u5hxGVO044+gz7k81lWq+zSbGlcnl1D+0xBayobaRrhDsWTLMgQyK3TjkYPuDz0NUof9LFj IFW8eSMxvHNIwVcfMSTggg5HBHPykdKdqM0lxa3GyzljltoWRij4I3ZG1cjDA7R78joejL4qZkS2 tJ4b/wAwIyxkgMpQjIcfLwvPOD8tefOo6jTZaVgWZz5WmIscLC5YiOVsKUA3bTtPPLZA7hee9Qz/ ADefLdD7KtzM0PnxHzNpxhlfgZXKkgnp04FTw2cFxfXEttYARrEIpYydjhzycHONw2ofxBzUcSzX olNpLL5mfP8AmiCMGA2ru7MTznHBC9qhWAuXjPp1089gEESor3ETEhDubAYY+6QAxJA5xyKV9Sto 79r2bdH5VvskUDJUlujfTHB9z6iqN8xS3/0eLdC0EpI3BWiiIwyHnBAYqRjsCB7z3bNc3lqLd7Zp 7qJRIY5dyqUbeGx1YcOAfw+k8q0uBJBZf2nJcTys1vOrYEca7dvIdGbkhzjHtyaTUJmupbO3mt5R cLKwZFyqONrD75GNp79+3WppRqFlctIZrZluWjRnVCpQ525CEnOcqM549DVbUbFZcJi5vLiEiScm Qqu0g5AXOASOgUdQMn1Sd3djHSXF+9+t7AvnLEHjeEIwjCkjJV8ZY5UHhT0IHPVl1dQiazuJpkml lcsGiPyoqEZVQTjJPBJ55P0qzZXE6stjbSxyptLxXDbSBGAmBtTHPze3GDzTbzRtzyzyF7lZV2yx gBccgh0A/iyq9euB6YImk7MRHNpNzsnvYZJYrlpN6RoykIhI3AA8bjgnPrgZxVTTLB0hjBsBc2Uo DkRT/IT1BZXIyfrj3yeamtYpFDJZSM9umfnjYwJGTnK7TkfXA4PQCr+k6LC1st1JEkEkqKUFvuQq oJIJOckkEZz9K3pU5TvFMTditAbrTJ5HXT1WKZlHlh8vnH3UIzkAAnB2gHODitC0sRPqMl20UscB KuI3woeQfx7evp97vjjgGrsGnW8Eol/eSSjo8rlyvGOM8Dj0q3XVSwyi+aW4nIKKKK6iQooooAKK KKACiiigAooooAKw7/TlGqQypcTQpKsoIjIGHIU5HH+zkjoSOnJzuVn6vafaoIWNstyIZfMMLAHf 8rLxnjPzZ/Cs60eaDQ1ucwksVja2wiubaaF5/MfzlMJZwrOM5BODgEE5PAwTnjVitWntF1FZDLds Ek/dkAAjqoxjIIJXk9h6VAb5V1CzuprIIBA7GaL51EXHOcA8EjIx3z2qSeOB72O4sbgRmV9jGNuF l6gsmcHIBBzzyPrXkyuWSXN5D81zYzj7YQF+zYyZCOzL1BGevGO/AqGBbq0v4lKGQw2qrIIwcuST zyQGAOffnNR3IAhmlvbVjdxymUlbdnjZRgbQcHgqB16HntVaGxmtwJkkfdcShYIPOKebGSz4OBld oZjwe2Oe4krARWZgisLZhHPJLPdeZcypB8wAYvs/AquQM9D61rSSCTVLYWkIgbbIfMmtyoc/LkAc EnAz+FV7trgfZI7iFNOs1IVZlkBeIhT3zgDgjofcel9LGGVUure/nZwDifzRIpz14OVHT+ECiTW7 8wKP2S0nsJbm/JnuzIgcgAPHICoCKewz09dxPeoXkurOa5t53knu7q3VY2VSdg+f7zKvbI5wMk/j TPNtZbm4uLtX1FE2BZ4v9WWA+5tDY6scbv72M+qWMYtdMQRf2kbtlR9pjcDcANwGFAOMYG7jp2qr aagWSjNbR3uk2ixrB0Z2KNIu751weo4/i79MdTNPqd28fkGNIJJY1ZZI2MjKD224GWwD0+pxTFuF uPDrwFjFMzLDOr/K6l3AYkdiQxI+tVr2R4p11Gyna4uF+QH7MwSQZwE3KMEE+uee4qUruzQD1ie/ P9lR3EyW6qROPK8sBc/dHGTnOOvQHrWpHc3mlaYiy20cqQJt/dzEsQOgAK9eg61BY21x9mjuoZ44 Z3UiZWTejNuY5HII5Zu/Q8j0ksdMjubz7bMBKI3YKzjl3DAbsDgBSpCjn19K3w8pufLB6dRPY3aK KK9MgKKKKACiiigAooooAKKKKACiiigAqO4SSS3kSGXypWUhJNudp7HHepKKAOVvZ7UaeIHSSCaF TG0ex+VOVZQxGCWAJX1IBqG/di1vI0c1tqS/u5JUhOHOOBuHBVjwMcj2wa3LuC4W8lljtVuYpolV 1ZwMbScjB65B4HrnJFZtlPY217Is9wY2Ti3W6O0qrdQN3J+bI78ADtXlVKbpt2TsWncbGLC7jiSK F5LmQFWhmndjEFJDbsk8A5Hvn0NV7e1itLeae4uJrO8twPnLh0GckBVHVeSAvUdsHmr1t5st9qH2 OaCNWmyzFdzghQpwOOMqeeeQeueMWSZ2E/nuJpxcsks5XECccfmAoIOeMjPzc5xu9LjNe3N5c3lo txNvUMZtph2HYFIBPJwSzZA9B9abNhbq5spLkpE0gfyY0y8qtgkZHbII47dT3qtEiXSRzm9Zr4zr FG4wGiTdnBUAdgeCD1rRheayu7m3Cz3krBJFZtowCNuGPAHKk9M896l6DKdyI7qHWJYpZIwYUCji JkkUE45x/s9fp0xTIr1bGO3ljE0JkkEE9oUZwr7c7lHUcYPHXPIBzTraG9v7trkSRxyCQSNE6sDC duANrL83QfNkdWxjqbdr51pqc0t1axqbuRVWRHDHOwAjoDt+XP58d6bstBGUGl1GNrh4WurhVHly xYeJjgkIyEDHXPOcE9RitK6v2vrN4bCE+bEA0ikDdCVYcbRwW4OBnHHXkZqskOmMtqALWYONt4Fw pj/vNg4PPy/N3INTRo0pOoWFyAiljLdTyMyS7dwOEBAwDnByOncc05W3+4B76NHdxNcI9pK75IDW 48snuSOSD6nOa1dDCLo1skaqojBjYIcjcpKsR+INYbz36xgNYssN26t5ccnz5+84A4wCqt1wdzV0 1oYDZwm2ULAUBjAGPlIyOK7MGnrdkyJqKKK7SQooooAKKKKACiiigAooooAKKKKACiiigArJ1acb pIZmZbZIhI6oPmmySNg9uBkd9wHA6rqOpS2t2LdWghRot3nTNgBsngDueOmayL42lxBLI139ov40 PkTvGFCMvzAAgYDdM+uOnauevUSTir3GkNRLW9sIdPjiQXoJGHhLG1BJYj6DG3rg8VIih2l0+4tR ANQiYshUYjcIqkDHVeM57H6ihNTka6OoRWyyR3JS1gzMFIIZvvAjIJznAycDnFJcw37pcq5hWe9D YiSEyOEXAAzux3GSeMsa85Jt2/q5Y2y2LZ21xYXAFzMUXyAUdFLcsM43AABmwCOnvVyVryPVVZTa q5gPmMScYDDbn8S2P+BfhVj86DUDc3EMVlIYlRTcJ+7jHUhGVsHnkg4PPXipUktzqwlu7mwuV8kj zAgHlFWHUljjO8+nQUTi09UCItUubu1+z3bw2izRHBnEoBdMNnCnGR0O3PX86s2MX26GDULe+maY ArmdAQP7y7BjHI6g/iRS+RbzkRWNmqQyOPOnWMKrKOcDoWB4HAI5NV5tUFi+oQ2yLdNzOirIu1QR 84POeCCcDJ+YVO6tFajHWMsz3F3Hbsstz5rJLcklkVeWUDJ7b/ug8c0+/wBP+yW26CaUtLOnmB2G x3LKAWGOMkAfLjOe9Tw2EtrDbS2TRmRYUjkDjaJgAACSMkEduvpUH9njW7cz3M7pJuIEaYKxEcFS CPmORz+nFLmXNe+gEF5qMsro+1VjhDLJNCS4QnALggYACljzz04xk109vHFDbRRwACFECoF6bQOM fhXPOn2q4isdUgRI0B27RiOVs4Uqc8HHbrzWhpIkt557JHD2luFEeQdyE87Mk8gArjjoRXbhJxT5 LakSRq0UUV3khRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWNqU9tJqkVrdyQiCOEzOkzgBiThTg9c bWPsSPw2aa0aMwZkUkdCR0qKkeeLjew0c06Xk8d0Y7GZorqeORMFclBsB6kbThcjNa9jDM93PdXM BicYiiUuG+TAJIx0y3H/AAEVoUVEMPCDugbbDrVG/wBOW58iWJYluLdt0bOmQBggj1xg9u4FXqK1 aTVmIzvsNzO6i7miaAHLRxKRv9ASTyP5/TrDq9vFJFaWKJEiNJu5UFVVRk/L0IOcfjmtes7WLQ3F p5kZkEkf/PP7zISN6gepXOO+cYrJ01Gm401Yd9dTCSZkge7toJLaVmDW6orNFMhA27v4Rk/Qjj8d qPR3QMDqFyfMO6XAUbjgDggZXpUcMP224hCRvHp9uoIBym9wVKYHXC7T1wDkda2Kxw9Fct5rcbZm S6RuCiG8njVWDrE2HTIORnI3Yz23CrNnaNbNM8kvmvKwJIXbwBgVaorpVOCd0tSbhRRRVgFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFAH/9k= File Geodatabase Feature Class dataset EPSG 6.13(9.3.0.0) 0 Simple FALSE 0 TRUE FALSE HUC12 Feature Class 0 OBJECTID_12 OBJECTID_12 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. objectid OBJECTID Integer 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. huc_8 huc_8 String 8 0 0 huc_10 huc_10 String 10 0 0 huc_12 huc_12 String 12 0 0 hu_10_name hu_10_name String 80 0 0 hu_12_name hu_12_name String 80 0 0 OBJECTID_1 OBJECTID_1 Integer 4 0 0 huc_89 huc_8 String 8 0 0 huc_10_11 huc_10 String 10 0 0 huc_12_13 huc_12 String 12 0 0 hu_10_name_1 hu_10_name String 80 0 0 hu_12_name_1 hu_12_name String 80 0 0 shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. State State String 255 0 0 Notes Notes String 255 0 0 HUC8 HUC8 String 255 0 0 HUC10 HUC10 String 255 0 0 HUC12 HUC12 String 255 0 0 HUC12_Name HUC12_Name String 255 0 0 Plan Plan String 255 0 0 Link Link String 255 0 0 Type Type String 255 0 0 Year Year Integer 4 0 0 Link2 Link2 String 255 0 0 Type2 Type2 String 255 0 0 Year2 Year2 String 255 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated.