<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220124</CreaDate>
<CreaTime>10193100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">WC_Existing_100Yr_Depth_Cleaned5Yr_20210913_15ft_WithNull.tif</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">798059.209000</westBL>
<eastBL Sync="TRUE">813059.209000</eastBL>
<southBL Sync="TRUE">474222.141000</southBL>
<northBL Sync="TRUE">486402.141000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">32</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">floating point</PixelType>
<NoDataValue Sync="TRUE">-3.4028231e+38</NoDataValue>
</General>
</RasterProperties>
</DataProperties>
<SyncDate>20220329</SyncDate>
<SyncTime>08142400</SyncTime>
<ModDate>20220329</ModDate>
<ModTime>08142400</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">WC_Existing_100Yr_Depth_Cleaned5Yr_20210913_15ft_WithNull.tif</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002">
</SpatRepTypCd>
</spatRpType>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002">
</CellGeoCd>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">798059.209000 474222.141000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">798059.209000 486402.141000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">813059.209000 486402.141000</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">813059.209000 474222.141000</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">805559.209000 480312.141000</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">1000</dimSize>
<dimResol>
<value Sync="TRUE">15.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">812</dimSize>
<dimResol>
<value Sync="TRUE">15.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001">
</PixOrientCd>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001">
</ContentTypCd>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">7.731500</maxVal>
<minVal Sync="TRUE">0.020100</minVal>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20220329</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAoorg/HfxCtPCVxBYytKtxcIHHkoGkCksNwD4TAK8ktxkcEHIAO4llSJGeR1VVG5iTgAep9q8i+JHxgs9Du5dI0kSXGo2zqzyK2Ig45Ckg5YA4yvGemeoPnGqeK/EmuyGPTNR1MxSOsLNNcIxmZiVAGwYAII+TLcjjoahstC1+ea506RZZxaI7JDt3pO3mcopHQFic/MDuJ7g0AetfBzxhNrulXcOsaobrV2ne52SOh2xHaAFCngA9sDG7AHWvVK+brzxvp+um20mPRTpN4JybgxRq3zBeYkXaSHZlAU4BU46kYPvHhu5srrQbQ2ImWFIxEFmLGRdoAwxbknGOTyRg0AbNFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcjqXxB0XTfGMPhiRbmTUJEVz5Ue5Uz0B75xz0xjv2rpby9tdPtmub26htoF+9LNIEUfUnivlvxVpev6v8RNW1/Q7S71Cy+2DZfQBvKZflAUSDsBheD09qAPpS88R6faTJF5hleSIzII8EFQCSc/hXnXiPWdK1a8+06gIrOG8SOKC4v0EbwqjkSRhAxcvvZgx2qAADnKg15v4cudf0TWlurq0mt729EkkYurd0YFXJKrtGT1zyAOSDjv1V7rGqWE9h/bHhAag/7y3ikEwVJWd1wOVPJYPkHBw3TC8gHUS+HtAsE/tG0aeOK1kVUmshGQuwr8+FDZBKqDjJ+Y7gOc3bPUZrmd7bT5ltNLt1UWEi8PNKqBth3jOAikEjqCMN82B5NeaxqGieKL+6s5r2zfzJN9tJMqiF2BDKyiQqTluCfmPXBq7oNxr+s+Xo0d8t6BFBKIwNvlumRuyQMurKvVWHGcnkEAdoNj4RS/1jxDrUl5H/AGbMkoghdT5skrSAL90HcCARyuMZzwSPXfCniAahfG0geaSBYnlJNpJGoZnDgIzKvCq4GCMkbcZ5rx6w8L6rpuoW+sagwLi6S48u2ROSCVDhSQu70z1z6mvVLHxa9rqt1JdWdvbxXM8KkDcXhbaF8t9oIZwFJOMBeByQaAPQaKy7TWrW8upbUForiOQx+VLgMxCq+Rgn+FgcHkdwK1KACiiigAooooAKKKKACiiigAooooAKKKKACo5ZUhjaSV1RFGSzHAH41JUbxRuys6KzIcqSMlfpQBnz6qkds01vb3F4AQMwIWByQMg9xzztzjB44rA1TX7q28qC81ax0qW6YRQLEjSTCVs7QQ6gEEjuFzzgitZPFWjyagbBZpjcq4jKG1lHzFS+MlcZ2qW69BmuW1zxhGranPpelTTywp5Q1JVE8EJTLeY4BwFAYkMMnsQAKAIdX0/TX1JGtJGvtbtLmMv5rrcCIMCGHlu5Odu7G3ADKMYAKm1dy2VpLp2oX2kafZac0flwu8UYnnkflYlxgLu5JB7gfhU8KQWGgWU2tS30esXmpkzm7kgNo86htw2pIQvHXaoBBx68XtR1+C8hhs00q3S3tnQ3VjqFmWljiZT5TpH0OGDLgZ6YGOwBzvie7i1G88O2+iWU8eqSODZQy2/kgQ7GZiCW27NuDgZOVGcHNc54zs3u9VW6ktbi31a1lbzvs1j5iqcKV8xuh4GQTwRntXZaLDq+o+J4bk6oYvswE2oQQP8APcSHa+0IXJEYV4kHX7rAnoTJ4Lu4pPE/isXV1Hue+kULJIASBIwQj0wM0AcRY2/ii2sjceETLLLO3+l+VbwhZN6ggGIg7B8vBwBg4GM85mk2mnX0MF5eajqmIyyPCsJCxOMEkvjrz7Hmu+1TxNovh/Qhomm3N7cSeYYQ9ldbiAeFYuGXOAuG2suCDz3rm7bwl/Z9st/dSRtZxXs4ma6uHBlAAxcYyFL5DgZ67sYNAGrpsV4L4aZHM+p6NNAWigMAkYopBCrllOAQM89uAav+IY7Pwta3l477WJCwiGGTy9yZQFzj5eG2Eq2eTz3HM2Pj3UrnWZF0myuWjK+Tt+0OYxFG+4yhcNsAXC7gGA7EHk6fifx6L2ztoNAvYTcX6+W6CF4QhzjzAc7SRsCAkkg9AeKAMrwRIbKaFZ5fI8mSMLeWEWEeL5jIWHA3sCgyAX4GOhz6+viOziuWinuAyn95Gd43BMDnbwxUDJLYx1GT3840u3SC7ij0TWXXZFFLMb+3WWQ+bL5ZIRVUfISCW3H73XjFb2qXmnxSWMlxocWo3JlU2tzYxMh3sAQzKwG3PUZLDjrQB6Is6NO0QEm5epMbBegPDEYPXsfX0NJJdQoOXyT2VSx646Dnrx9a81v/ABi11di3k+1afcwkrMlyqCLb1KPJ/DuPRlAOQOuMVUufEuo6ZrcTzXumW9pqcLSm4mvhsi2AK3lsFyMnb65+Y+poA9WW7t3hSUTR+W5wGLAAn0+vtVivKLkajLcHXHudNOk6fvzbwNJK7RNgnrGpJ3ruB5AyRzzm54a8aX2pw30UN/b3P2Qh5Lq8QW6ENnCqy7gQGG0/KCAQcHPAB6XRXi0XiubWWuLefXdWW9KSR+Xp6FArK5UPG5VUZWVWIzg8Y4J4boWmahqaD7TZXeoS+WVkml1uaFmZWRCxCu4xglhyFYKccYyAe10ViaHoFpo1rEqWsSzquGaMkjPcjPTP5+pPWtugAooooAKKKKACvNfHGv61Ya79ms4tunR2TvNKnmGQliBlShAUglfmPqeR1PpVefePL+wjW4srjUoIrmaEJHAqRyTNllYYjYEniMgMATl+BlaAOEvb8XUU2rxzW0+5beaFD5l40siYMm75iYl2l1PYhsZJGaw9R8bXPh7dp9rZxzG+K3KyXMn2jzYWCHLZJA3FGDKexboSCLmotFYSy3Vr/oBitAsts4YSszsG2yBQTnhwd6RrgjH3c1m+GNEjub6a4nubQtDLHDKzxiUxENghd2U3AZYriTCoSDQB1PgHxCJri6t4dPubSIQrBZmORpA5O7PnEltzMxyNi8bcHgVvJHqd9rel6jBPbNqVg6wyC2nWYzRhSsvnE/dDbdoJ6OP+BHJv9TXQX/fXuqjUVV/9Ka4E0KEqrZx56/u9odlAA4JHODiG9k02FYL5LqK6u5ImkuEvIjasFaMMWWY5Ow4jAVhLksvIB4AO0uxZGW18ZWtlF5Atmhu4nl8t4xlY3JG1lZkAKkZH3cZPArzFm1XU/EGpNpkjPC1zLd3EtlOEQZLMELn5WILZwcjKEkHBxteHtG8ReIocaRqq6ZpmwI1ludVZQAu6MgEEArjI5BUZPNZh8Sav4P8AE11pUFpD9rdF+2G5clndYiQyupABZXJyQeTnAPAAOstPBmlyeGY5LC3jjmNpKbaRYBaXMsuFKB8ou4BxnOQpIUgUzxNquhXeiXuk6hcJb3EUjTx2kqtJhipI3Ecf89Bt9XBIHU4Os+L7+FxeTpEshsUsnj80Ab+DI+O37wdQSSoGcdqltpM0N5r+p3we3lglaNZbqD9zOWEm5VfILFicnAIzzwM0AWdMvdNlnktrTyvKuIJZrKyjuhMXOIyiuWY/efKMvy/MuTyuazdL8L2Vxqht9UmuG1a2BjkQyiZppNyKhUAbzGCoOSTkBgDycQXXiPT4vFF5/YiWGnpNJJbySzXBEFum87ysYILbgcjaBkE9s1cEt5d69aalpmnm4i020e4j1KaMxLISgcv5ICOPmlXJ3EYKkccEA6rw/eabYeGbawtbBn1DTXGmSTh4pAvnXKI0m3duIJBYZXHB5AOa0tX8I6Nb2Fhc3MFrplnYmNy93Ekm9t2F3PuyWyRwcj1468z4nsLKy8QaZHb30FxfG6t5pbKzto/OuNrK7tLImCqZTPJ4wDT7LWJvFN7ZLc6g926Tm4aG2ltSkbABiRC7N0+Y7m6cDrmgDF0q91Ga+s7XSNDsdCe9SVZLiURlpQXQ4cEBVIOAAwznIAzzWzN4G0SzjtNNuJ2vL4o0V5bxzRIwIAKPliwQ/U4OegPFSeLfG9poXh6MXLxapqU/m2xaMwyJYksCpbYAN4C5C7hyuRgdG+EvFfh2J7fVbdVutU1O4lNyJWjia02btjMFwPmG3JyensaAJtW8P2fhDSvNu7Oyj+zX29ZnjE008ZG1W8zcpAiEg6gcqCK6vVbbVWupNOtoZ0iuB5t5HbRL/qmLKVWRzhWIByQSeeAOKoXemjxXbT6xqTwxC608x2cXls4eMqGMiAkFSSxzgHAAO4jk5OleINYvNattIeUTpDEsVulvaYgdMgrIcSEnC4Ug5XDe+SAbOi6NHZayoIu3aXTreR7ryfLhExDDk5LiQ7d3oBgZywJ6qHQbV7q1uBDGiIN0iRMChkGeAPQEk56gqMY5zqW1pZqFeKBQUyAzodwz1GW57n86u0AIBiloooAKKKKACiiigAryLx7rt9/a1/Da3M0CWDJukdC0DAqjlXCspBBIxw5Ik4ByMej69c3Nno9xcWZUTKBglN+ORnjIyfTJAB5PGa8S0++v7XVJ7t9PkW51BUkuLuOzmZC4Zc+WwUAMfuNtVgSmQelADdYnn1GNtNs/PWOTDG0WLZGgIyBHEAGyA+dx2k/K2wLuZeu0jw3pV3YW1jDqVrzFJFLFEwxM8rlnzGDwoZTkbsNsCnIxXOpeQae8N1przX+pRytPNFJNFFIjtzlYTt2kAfdETEjbyAAK6S88TWS3sWp+HUmN1dhpZ3fdIzMm1fLkUnaqkYG7KjJjwSpBoAkv/DvhXR9LePUt8hVjvUMWdGYAkHnDAgNnC4I6qSKwFsrPxLazm1W3Olm5MlzbxXKwbNke7Y4XeSqlQwG1cH+HOTTfDt5HeavBcNHd3VzZtLHI8s6CWaUklSzMONzbQqjaFYYBY5rmNEuvFOgXHiXXEilkjLC3le8fJlRQyJuY8nIGAw6sAOc0AdXpHjiHS9EXRrm7a1ubO1m8u4QbleRXYlMY5yGTA4ztIznArgyt7qV1Nd6h9pkubqcZuI0Koy+X8xBPf7vPTknvVqf7PbaHNot5pQF0lzI0khf5YYo1PyKA/ZgxP0XO4V0mi6LdT2emPNbww2to4yeSZ5Ps0YVApIGMFm3HjqelAHM6faQ2/iPTpru8a4kkiS5LO3mJEXh8/wCdCd2MN1I+YKfevQvFSa54g16Oxt4o4ldmS2E0gG1SE3sFJAYYB4Gf9YoI61U8c+E9NjsdIsUtRDfPaLEssEuGcxxlI495++w+UZJGQD04FUNO8FbPGlrea7d6jHc20MDQ+QrNtdAreWWYHqoOVUgfexkZ2gE+ueGrHS7r+0rXSLi0WISQywxWu8Tg4RY32kA7m6luMSIcg9EgtPEut6vbW5so9P0yRTb+T5UsWERshpFLHcWAJUscsW9ueusoLTxB4YhgFv8AaL26SOSWK4kZyvy8o0hAZdrLzx/wHDVk6nKfC8nh7UNMubx7Jm8i7W2XEWITIZGcZAIUFhgAZCDBwMUAcvBo02k614in0+WOPWktnezKW5ckGNWcBzuUgKdvrk9eeOabXvGmn6k8N0biIadcwbZ1s1VwFLKv7vjcSDt64AUr3r0PW/HmpWtpPOluTAkJEkJsZYfM3kfMS0e3Lbs8OQeMf7XG+FDC+r280+p6jq2o6teCeGytLwNvSMs6LOr4/iXrghV3H0oA5efxHrrNcW+qANaPdfaryWa0ikZixPPzrgnkjHbaMcCu9+DOkW914mme80+3J/sxJCjIoUq77lO0Aq2QFOTtIKnAxXWP8KH1e7N9q88EE090z3Frap+6EW7Kqnv1+bAyTyOoPpGm6TYaRbpb2FtHBGiKgCj+FVCgZ+ij8qAH/wBnWZto7drWJ4YlCIjqGCqMcDPbgflVW+8O6NqYiF7pdnOIRtjDwqSgxjAPYY7VrUUAQW1tDawLDBGscScKijAUegHYe1T0UUAFFFFABRRRQAUUUUAcF43uvEFlexy20L3GnuFWMRsoWOXIOZBtLHgHBBAGexAJ871zWtW1C7Sa3SytovvRyS3diHyBuAbzFBDZySOuF7nOPYvEuhafq9n5t6uDbRSFHa5liRQQN27Yy8YXqegzjqa8q1/+xdJuTBFqFjdRCB5/JhuLmRuzA7TPtO4cknAJCnBycAGDZ2Fzd6rNeSapKJJbePAMAjCR+aNo28jgxoQB7AYxmtK1uNRtfFOmy21rHehVso2CsxADpHwIy/PyBfn5A3dMrhYFvdX8SavELvQ7mTTr8RApBEUnaPfvL7fNbHDHB4yD6CtPxgt0izeXod6lncAW0J8w7mDqxWMiKRVABI2hg+AAD0C0Acb4rsG1fxbeTpqFzGJpg72b5Uws7ZKgDORuKnoDz0yQa6m4sdUWGM6fquoalBOFMdwssas52CUjymG8uN6neGOASeelY2i2l5rWnanN4lstYuZW3vp0wYu9vIQPmLErnllIA4z1ByAOi0TxhcX2jx6baWgsrF9PYS3bhpPKIVPNOxeMBWIHQ4AbPUEAua34X0tNAk1u1vUsYLCDKLdRBmd2Rjtcv/CwlAx6MPu7RibQ/EesX+qT6hp67or1kjkhAMy2zrbqwZELA4I3DgHcASBwRXKeO/ED3Wm3Phe1t5ZRbANdytC44jMce7b/ALIhOck9eOmasGw0G3/smVnk0vXLFdt3b3TASSAj92QxCDGNxBAGOOOASAad1c6/cxanrlzqM13bWjy3VnBbbWjnMalfmeIgoVTPIbPIPbJh1zUfEzXuoxzSbZobqzjm+yXsyxgSYZQsbsVQkLtYk7dxznjNbOm6P4l1Wxmhto7e2s7vT5gpkaWJmneMpuKAkjkA7yOQeCcjMXiK5n0u51Kzli02K61KOIvJFdttUIpCg/uQgzyMZJ+bIU9gDJn8ezWYurh5rSCa7ytvaIVX7NEI5diMwYEPkJnPsOjCr1vpms654YtbTRZGvNKuJHN85KIQWQsSMEEEsVBUBvTjnNjRvBUOu6heRahNGlwtxGzxpGskUnkKsTH5owGBBA24+U85ORXqumaXbaVarbWocRKABvcuTgYySec8D8qAPF7zwDo+oXTaXKdVtbySYRSXUxXDHYxHSRgQCp6DgsSSc4r03SPBdhp+pQajLBardW8SxwJaReTHH8u1mwOWLZP3icDgdyepIB6jNLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBWvbOC/sprS5jEkEyFHQ5wwPbivK7/wAMeILiUy24eA3Pmx3dt5A2/dAT5sOXUlItxLg4QjHOK9dqlqVsb3Sry0MjRefA8fmL1XcpGR05GaAOAGgv4ZuNSl0+ztZF+zRNaNNIoTzQEQg/MDj5C/59wBXMa1qVjq1zBItrp93eNdRIsqNDuyyj92rEgkcbSSuOvIB50NQ1/WhZarHqUlrLZrZpHJNGSBE/yGXCAk9AWBz1I9CKy/E/i7RrXxTpI/suK2t0EUovrafe7RmJCF27CAVDgcnd908A8gGdrkcun+JNQsL2G5kv7i2iNrbIAYlczGRd/JXgoh4GNoIxk1FqlnBdjQdItHls5L61aGCWTYd03l2qbSUkKglIxuDf3iMfMKjur+aPU77UY7a9FrcW0d3Z3V1KZzLHEcMXOCQzEAkKeMrnnJKWN09/4i06+2zPZQ3MK5wBEpi+wck5IYFvQ9CD04ABoLJDdzS3kc08aXTyWreau7J2ySSq3zKwzhs7iQeOgxi/4i0vTX1WGXUpftFz/ZCR2lw2yHay+awZi75QgSQEMpP3GzVnS9JF7PpkMkLyWd3ezOxDsrBGt5R1XlSpBUjPVeua5fU/h6dW1jwtDcXUsD3qzW77FJaNYCqjkj5TubByOv4CgDd07xZrTQasNDt4tU+yRxQPbTQqrxrk5BWOIA5CFeHI5Xg9K67w94Fdbu0vbyCO2TyFEls9uvmK4JOQwlcLkkEjnPrnNd7bWNpZyXEltawwvcP5kzRoFMjYAycdTgCrVAFKHTLC3upLuCxtormRcPNHEquw9CwGSKu0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXPeK/tk+h3FrZSeXNMpQSBwpQkcdVPHr0PpW3N5gUMkiIoyWLrnjH1GK8o8XXdza3MeoQatdTX8cZuo4ITIkccBOS04bKpGQB23E8DNAHE3+pxaTeTebLDNJewSRtbxTs5HmMQrkSIF+7sPBDAFTjB46Lw34Ut7mW9vNW3JdRwpNYyW9wkkaELuKxJuLbshWLAD5s4xiuas/DcX9t3NwJ/Ma0kghEMUUoVdzKzlVEJVV+YkcknrznB7jQEubvUksLC1hSCdttxMgmIjAyScPAqhvkXrjkqPSgDC8SW9xqFqIhaSbpo2M0ccaKFMl3MhLE4IPIH4Gp9Q0QL4mlaEskCvazSE/wCr2SvD5wYHgr8+dpGCMDB216jaeE7W0ku7gXFwbu6YM0527kxM8wCgggDc5yOhwKI/CVhDcC6jkuFu/kD3A2FnCYAUgrjGAvAH8I7jNAHm3hvXpNNgi1GVoDCt8IbgwQqSsRVmRFAI2nO3dz1DdTiu68E67Prcmom4icJBM32eWRcFkaR+nt8gPU8Y5OM1eHg2wjt0gjlnCLObgqdhDyFSpZvl54PT8sVc0TRY9Ft54o5TIZpjK2R0JAGBknjIJ69ScY6UAbFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc74u8LReLtLi0+a7ltlinE2Y+j4Vl2sMjKkMcjNXbXSbK1s5LUwrMsjB5mmUM0zggbn45Pyj6YAGABRRQBUl8LafPcSyncDLIZHHlRNknGeWQnsB16ACrljoun6dO89pawQyMmGaOCNCwySASqg4FFFAGpRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z</Data>
</Thumbnail>
</Binary>
</metadata>
