<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="zh">
<Esri>
<CreaDate>20201008</CreaDate>
<CreaTime>19113300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20201008" Time="191133" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass d:\LiMing\JhuokouCreek\GIS\JhuokouCreek.gdb 方案一_工程配置_Multipatch Multipatch # No Yes "PROJCS['WGS_1984_Web_Mercator_Auxiliary_Sphere',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Mercator_Auxiliary_Sphere'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',0.0],PARAMETER['Standard_Parallel_1',0.0],PARAMETER['Auxiliary_Sphere_Type',0.0],UNIT['Meter',1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #</Process>
<Process Date="20201008" Time="191133" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema d:\LiMing\JhuokouCreek\GIS\JhuokouCreek.gdb\方案一_工程配置_Multipatch &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Elevation&lt;/field_name&gt;&lt;field_type&gt;DOUBLE&lt;/field_type&gt;&lt;field_alias&gt;Elevation&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;8&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>大津</keyword>
<keyword>取水工</keyword>
</searchKeys>
<idPurp>大津進水口【3D全球場景】</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>大津進水口【3D全球場景】_WSL1</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDz1G8v
no1TfaC+Fc5zVRGMjbFVt3Y4zmpjDMo+cEfhiosYqbZIjhXwpqQzIrZL0yO3BTeSR+FILfzTnjb6
0rFtuw9vKc7t/NLFKY2+UA00WyKeTkUohRz3UDvRYV30JmuHcbgaqvqLK2GpXmhRyiyZqGTyGALc
c9aYnOVtGQXMj3CBieFqBZNkJCDMnQVJL87kRnKelOit9oDZ5Iq+hx3lOdyL7QbfZFJ80n3j7VWK
s2ZT0Y5UVZe3YqzqN8nQn2qvHFN5pZ/ugfKnpVJIc721GPDI4XdwhGW9acpSaIQqP3anHuan8tpc
gng/nUsEUcO2NI+fU0nZCjqNkg2Kip930qRI2QBmOKt+TnBzzQ0YCgtzmpbNlRSfMSJcDygcYIqL
cWyzd6a5JZUVePWlKt0x0qUrbGzd9CX5XQEHmmsvIzzTUXawqV1JfApjSEKbRkCguMDcMVKx2oFP
UioZD5hHy0DlpsV3djOFHINTCTg5HSlCBcnoaXy2cZA/SmQkyNY9+Wbqp4q6gjijIABZutRpEygZ
FAiG4lieuaRcVyoRie/FRcodx7VO5C9BkVV2b97HkelBM3bVCmTzSCeBT1bzDkDkUxIsoAKcG8hi
MAKBy1Bnd9SN2Hl7pBkdhTGkYx7jwcjApWEk0m1B+527sn60SJmNRn3phZkakmZYhyzmum0zSDK+
ZRtiH61U0HRpLi9S7kX9yp5Y12DvGp8tRkDpiolK2iOilTbV5Cfu7W1AThR0Wq++SUBpGwtTkjHz
8nvWHqF87SGNDhR2FZWubt2L00/m/KOAKoNDGzEnrUVrM80jBjkDvUM92IZSgOa0iiWk9WQC2min
K28BI7EitFIUePFyhL98dqkk1OPbmNGLe3FVhcCTJZJFPuc/yo1EkkEtqqHCIdtV2tl6qpB/u1dX
cV4jJpyRTNyIgKYmkUVtyB93BNK9s5iIUc1qLZ3DcnaKcbOY9JAKdmTyo5E6dJHOf3RLVMLKYjDw
sB7Cukk06TOfONNOnSsuDJn609TNUorRHNLpk2792j4+gqRtPnUKB6VtHTZhwBmnLpEnXIo1BUoI
5cWlwswLK2B6U4afNJNuEb4rqDpcxGNwFB0qQpjzBT1EqEepy0thdIMmI/UUQQzA/OM+ntXTrpUq
H5WAFO/suYn/AFq+/FF3awlQjF3RhwwSM33ac1hcSspzhK2jpMo6SjNRNo94z5N1gelI05UZEtoY
p1Baop0eNxt5rdm02VFG1ckd6ovp87HLZFMUovoUEHIzUm7a7MegGKuRaY56inPphA5HFIEmZ8Uf
nTKztgKM08ICflNXoNPD5O7CinvZiNwyr8op2KsZ4hL/AC55q7AqqoBxxSllyxQVVuGKR7R/FTsN
F5bGW4UyKflFU5oigYZ6Vs6DL5lpIh69ar6rAEjz3Y0rCZhs2MKe9IISpbninhN03PanSb3+RB83
Q0iLXBY22fuhuIHNOsdKn1WdTIpSDOGrodNs0tLZEIyTya00Cqp28ZqXM0VBPcxb3SolCxRLtULg
1Na6LbhwZR8i1rPaFmEh71ZSCNWAY8dalzdjVQVxscICYRNkS9AO9RsiIM/xVYb94wUHrwKZcAM+
B90dazualC9kSKzZ2OGPSuWBMjEg5YmtXW7jdOsf8I6VSt0XYSK1ijmn70rEtuvkWsrHrisSUNJI
WzWtezCK12dzWMrkCqQpuysdGtxCCNtm7E/j/SrSCU8rpwUH1P8A9atJYEVR5YQfU1JtwDlvyNaW
Aymu7mM7RaAf8CqQTXzdLVf++qu7VHJXNO8xB6ij5CKO7UM826gf71O33x6QIP8AgVXt6nv+dIVU
9D+tAFTfdjrGp/Gk8667W6nH+1irQT3JpNpz6D3oApNcahn5bZP++qjNxqAP/HsPzrTC56EUoRh7
ChAYzaleocG2Bpo1W8H/AC5ZrbMaE5wGNL5anoVH4U7oDCGsXGP+PF/ypP7ckA+ayb+VdAI8Dtj6
VBK9tGw8xNwPcKOKLoLMxh4gTvZkfU03/hIId3+oYfU10KwWUib18th6FRTZNJs5Fz5a/gKLoNTE
Gu2/OUP505dXtm5KHFXX0Ky6+Wfwph0i2A+VWFGgakQvbVx8oYfhUUssRGBvOfRalOjQN92V1pBp
Ajztu2z6EUaBdlONxFkbjg+q1Kt7EwMeCc+1K9pdxtwokHuKo3peEAiF4ifUUJA5WHtHGN21wfUe
lZMzF3Y56U5nbcSTgnrTNuOnOaaWtyXK5teG2P2iZewWrOtKSYwOg61S8OnGobf7wrQ1L5pNvuKi
W5S1Ri+QzFiARx1xRaEG7jReW/irpreCIRBCgJYVSi0fyrxhDzg8mpewRi+YvxrkcdutX7e3B/eP
wB29abb2yRkJnOetXW5wo+6Kwb1OtIbuGD6elRlQxG6gkdabO+yLI6txUgQzyrEu/v0HtWJeaoys
URuverOoySLEWPRRmuZkcvISDVxjfUxqTtoixPOZAC/J7VNbgRwln/KqKIc7n6DpUpkJ5P3a1sZp
9WV72TzJgOgquwyeBkVZkBmkyB8oqu3BwOlMzlqz0A28394Gl+zTdmFRIupDqU/KiSXUVjyNjEnp
jFVc0JPssx7rUX2CTfuMhP1pge/B/eRgfQ03zdQWTcsBdfdqLgWhBjt+VOEFVFv7sFs2xHsBUy6m
wHzwOPwouFicWzYyBimlXQ85P0oj1G2xkybcdmNSR31tcAhJk4/2sUXAhbDf3qTDr91sirAVGbAm
U/jUxiB5+X86AM45zkLg96cGPcVd2DOCp/KmvB9B+NFwIVfPAahoWYZKgileDnqBSYAIUSfhmgCF
oVQZHBpUkI4zTirZ56fnR5ahsgGmAbmHvSNMw6L81OUHJIP6UsikruA5pAV3nkH/ACxqI3Td02n1
q6HBHNRP5bt0wR60wMLVb6SKPBJ2n+Kr+iQyT2+ZgCD93cQeKln0+K5tX8xQzdq4yHUr20vjbrIV
EZwMU7XWhLlbc7O80izmjby0G71A6GuWubOW2ZgykqO9bVhqciKDI5KE85NbM0EFzbtkBlIyPehS
aBxucPDNJbyq8Rw4HWr9jcyXd5CsnUv8x9arX1q1rOyMMKelR2s/kzpIOiMDiqaJTtod2IPn+QYA
p5QW26Rh96ktLkXUCyRsCMcj0qWdfORlLVi9dGbJ21M+4upS37k4VeTUttqSeUQeXp0VmssThjji
qaaZtucR1DgjRTZchufMYkITikmkaKMzzDgdBWgscVtEAoG7vWdqIkuoysa4qFG7G5WMO+1N7xSq
rhfSq32GOGLe7fMe1XbfT2SYM4BYdqLuOV+CorVRtsZOz1ZRMYeHIHNVJI2VSTWsLd4ogWGBWdcM
WcjtTZL2KpOFJzVUR7+c1ZdcuQOlRcLxikzJs9LjbP8AFgYqQbAgOQ3v6VkHV4yzEI3NPTUotnzK
eaLm1maHlcOWYGlbaRuGarw30H9/FP8AMimbJfFO4WY9WEvyq4B+lJHERuLkEfSpIxEoJJGe1RSK
GyPNIpoQOLZlA8uMY+9lAaaiWJfKRxDP90VVn02SflZiKhTTJYVOZSaYFi70u0uGyrOh/wBliKW3
sBbjHmmT/ec1GLcquVlO6pFMi9Rv96ALH2V8Eq7D2zmoJPMX5Q4DerU4SljjJU1MHXbiRN9AFcPM
q7fkkNQvwCWtznuRWj9milQGJ9rComtZVPPNAFFNUt4UKucH3pIrkSt8kgNWmijPEkX6VTl0u3ds
xOYpP9npQBfH3OcGomRm4BrLklvtP/1i+dH6iprbXbWUYZdh96ALm11HK1Gx9RWjFLbzRY3Aiq08
KoNyHii4DBGFgO1s57V568scesyo3zZbp3r0IzlbYkJmvLvEdwbfU/tEYxl/mFa048zsiZF3UL5r
dWwcR56eldL4b1lJbURSnJXpXBXkxvrEFFLfSr+j3L27Rudyle1OVP3fME9T0a8tIL2LlcZ/irl7
3Sbi13Mg3Rjoa20uRPGgbO7sa0IJA8flSjJHr3rJSsNq5x1vqN1Zrtikwp61pWmuyIf3jZBrZu9F
tbhcqgjJ7iufu9CubYEx/vFp6MnVG/BqsD7QHyW7VpLJ5MivtyDXnoZ42w2VatnTtfeD93cDdHSl
TKjNHVC9jaQu460STxvEFThu9Z6y212u+NwTT1+QfeqOVIu9xVtzu3EnNJKmT0qSOYbSW5p2N6nj
BNUSY2oXAEewGsqVP3YPrWjeRETbcZ5qtPGxj8xjhV7VLFJ2RmSZTp3qIuFOD1p7tlmkPSqZmJJK
jiixg9WdVGCxySaUoQc5JFCk1IMsKlM7xhbaKPMZe5pGwWxTdjk+tAiyl7MowG/Opvt8xxkr+VVM
HHIxTd2KANKPVXT73NXE1eF1AcYzWHzjccYoPI4xTBxTOljEE4yjLmmva+jH8K55JHT7pP4Vaj1C
5RuWzRexPIaT2swwQNw+lVWuWgnWNgwY9sVZg1hwPnUke1WWS01Ao+4rN24oUu5LiZyalGruGyjL
61dt9RMkQbqOxrNvdGnR2a1YSE/e8yq0N9La4hniCqOmKvck3WulkBJWoDtBwowPSogyyAMvCmpN
ygCgCN54smOVcKaxNQ0yNm8yAqR6A1uyJHJkHHNZ1zpu0FoWYfU1SAxI5prdSEcgDtVu01h2yjtt
9d1ULgOnTkjrWfcSiQZAw3tT5RXOutdbgIaOUYA7561xPiKGO7vm2425zU8VxtTDIT71WnQ7vNz8
tXC8WRPVFe0thDDsBOBVgR7TkE1FG3Oc8VZX5hTbbYLY6HRJ/PXy3YZXoK2lDPjcMEGuKtZ3trpJ
VPfmut+1PII5V6HrWLVjQv8AnNF3z7GrAmjlTms3zRJzUi4AwppAOudLtLxDhQG9a5670C5t8mMB
x6V0GSnK5z3qykxZMNVKTRLimcGGlgkxlkI/Cr9trdzCRuw6DtW/f6XFeRlgAH9q5S7s5LSUo6kD
sfWq0ZOqOgj1+0YfNEyH61aTWLWQALLg1xgY54xTs4Hp9KTgPmOymltmQyIwL+ua52+uGJOWqgsj
j7rt+dGHkOM5qXBilqQXcjSMsUf41bhtgsQG3NXINMTG8N83epvIxwrDFVFJCjG2pbVyBSByM80g
IPY0/aBjnr7Vhc6xN59akSTimsFHRgfwoUDHWgB5kB7c1GzN3WhsA5pCckDJpgKMgZNPU57daRRy
c9KUNzhRQhjigPfFKo2tkNSd+ead984X8aGBMuSMhsjvT/PfACN0qHzNi7V6HqakEibMBcN61IjU
sbySTKuOtVdTtDLGSMcdvWmW7sGGKuXh3Wjc8ketVEzkjNtrqNBHFuyR/DWgeVz2rlAWS6A6c9a7
Gx2eWhkXcMetaWIbK6qeaaxx1qxcuvmt5alVHGKgADdaBoytRtFeMyoPmNcpOgSQg8Gu+aMMrAd6
4/WLRopyTVpkszACelTxrvjIYVAh2nrV9AHXK9fSncDHuI5IH3KPlPWnxTqRxWlIAyFXAH1rINs6
XGIxuU+lXdNGTTi/IuDDZ5rRsb5lj8p26dKox2p2csAaPs8m4YINQ0ao3YbmRJM5DCtCGUNyDWLB
any+cg/WtKztnYdcfWs2ijSSXrnpS5xyppEjEYAYgmrEe09BzSAjWZ+jCqeoxpJAS6bvStJniQfN
1rJ1OYMpVDwKqIM5addsnAxQDipZhvNNSPA5qzMTFLnZzUqRknp9Kn+xuRkocfSgaI7WZhcKM5Br
baIMchR0rIbT3WLeCARUBuZ0O3c3HvUtFJmmjkjqKl3MRg4qNU8vhRTwDjOMVhY2BSRzUuAelMRc
81MgA5PNAyJgfWnqpKbsjinu6sMbaTI4GKYEYJJNPGABSkEnGCalS3duiEUCuRqu49aXJjO1Rz3q
0tu8Y6U5LRSvzOc0BzIpkgninqH7LVpbME43ce9WEVIhtHNOwnIiihcj0pl1bTNA21zmrayZ6LTi
GbrVJWM3qY9tp4U75zzW7BLEsSoqnNVmQd6WH79Vewmrjzkklu9N24qc9absqRjOPSuf8Qw4TcPe
uixyB0rE8Rgi325HNXHcmRxbHHWprYySPtU7aYIS7EGp4o3hOV4qwRojToXCmWfLegNO+wxBfkcA
j1rPZ7gnJkpyXUg4IzU6hoXRYOejKat2tiAw83bWZ/aDij+05F6A0tR3R0cot4wFVRmo0lIPyKwH
vWTbTXM6lhGcf3qhmeRxtZyPxpWBs1JtWhjfaSu72NXbO7BdXP3TXItG5fIGa0LYXpjwoCr6mnyi
5jd1SQQTGQHKkVz895NOOF+XtVySKQAeY/m01iQOFAHpSWg3qZiI+fmU1ehsZmHCEiphKgYFlq19
ufyx0AFO4WJLLT1VsyDn0rUnEUcQG5RWXbzpI+5mNMv7odFJIqdQsRzjklnwgrFmuB5h2DK+tJcz
STyYTIFILSYjPlE+9WtNxb7HQ/ZZFGaelvIynCmtFZEU4x+dBuBnCgfhWNjTmKyWMpXCrzSvYXKj
Lqq/jVoSyt0ytBYt998/jT5Q5iotg5YEnP41eh06NyNzAVGXwMLxSbnxncaOUXMy2ywWzYADn1FM
NwzHoAB7VXzg56mnDcfanYVyQy5680gLMc8igRk9xUixn1osA0ISfmanCNQc04Ic0/bimIAMU1mN
DHNQyybVoGNZ8mpIvv57VXDAjNSG4itoyzsFHvSAt7uainuI4R87gfjWDd+IlGVgGT61jPJdag5P
zE+1UosnmNq88RCMYt+fc1izXdxevlizA+tXLfRtvzzNuPoK0EsY8YyPoO1GiFZ9TFjtCMluM1Mt
kz8KrH3rorawtl5kO6rBvLOB9iBc0cxdjmxo9wy8J+lOOgzhdxWunN+hXAxVW61JvL2KRRzMVjl2
0/YSDximLahmAI4rU2iVsyP1p0kcUa/u3GadxWLumyKsQtiAENRyaNG0xYDI9qrQ3KwkEruatC1m
nkkG0bB71NyrDP7Ot4l5jyfeq9xgDYFG32reliDQZP3h1NZMtuWORQBmTQsqeZ2PYVWDkcEZFaN0
f3fl55rMyUJHWgBzMCQccUgG4nHApUUv2pWWSNh8hOaQBGMKQCQfapFRGG13bJ71Xm+0ggLEcetP
SKQRl9wyOxo1A0IrW2jG5Bn3IpxmQHARj9BUdmCvzlif9mr/AA/zbMe2KRQmGJqVVC9D1pqhj1NP
47CqJBmx0NLigD1FOoAQCnACgDNPVaAHKlOC0CngepoAQCnAUlO3DFACE8UwnjrQxzUTemaAuQ3U
pWMqh+asWab7Pl5JCzdhnpU2qagYAVUfN61zjymV8uxJPWrSJlItvqlxvLJJgU1ZLm+cK0rH3qtF
H5km0DitiNUhiCg4pOyElch+wwxuMkkjrV6Jgi4jXFRDaeBn6mmyz+Wu1Rz60rlWLHnD+JqaZ9uS
G4rP8xiMk0+AeY/PCjvQO5aEzMepA+tIZgvI5NNRvtE+wcIv61LIscQxjJpARLdOW4Uk1ITI3zSH
Aqvna2elL5r9T096YFkSRlfeo0JeQj8qgZ80qOQQRSA1oLaFfmc/NV8TKo2jFY8UgbljzUyt3pAb
UchKlSeKryqd2P4ahgmynWpwSV55FAGLfpJE2e1UAd3PeukuoFlhJ7+lc8YzHcFSMYqgLFom1txq
6y5bpVdXRACTgUNqFuvV+aAJ2C45qJzEUwOtUZNTXedoJFOiuY7g4AIb0ouJFuJ1QYqwt+6DaBms
5lINJ5rDjNQykzc5zxTgSe1PKUAVRIgBpyrmnAe1PC0DECU8LSqODTlWgAAxQFoLAdKTPGTQAEkU
0svemvJxVaeXYuc/NQBYdwBnOKzb7UUgTIYbqz7zUyqkbst2xWJJI05LMTmriiGxbmdrmTJNQEAG
nmmhSTxT2JWpesI/mzVuVQGyTyajt8RRZPWpoU8w7zUPVmg/hIMEfNVMfMeannky2B2quTigBWX5
gF6NU8w8i3EajlutRQfPKv1qfUUIkH0p2AZZYCls9KV3U8lqrKCpGKWRcikArzdAOakUhl+Y4qny
pzUj5KZoGWSKQCiNtyZpeRzQImj2jqauxvGyFR1rNMgA4qeJs4NIZZUsvANWo5ii8mqbzKn3hSLO
r8AUWA0IrhZH2jrVDUkRZcgYamJII5ck4qtdXZlmCj5s9KaEM+eU4xxUMmltK2d+K04ogsBLcNVW
SQhuDRsBT/sxkYDzPyqxHY+Q29ZTup3nDYPWmyTZWpciXKw12cty1MPX71Rs2TzSFhUE3Z2gHvTg
KVY8VIABWhqNA9qcKTOKN/oKBD+PWkP1pu4U0sKBjjxUTsSMZprSHtUMs4RCTRYAkmRBy1YWoakc
lIz+NQahfFnIQ1m9TnOatIhsRssxY8k0EkCl4HNITu6UwsIOakj+Vsmk209ELtikxpFhSZHCgcVo
NiOPaOtQ2sIjG5qJGLtUDIT1OaYxx2qVlIHFQknNMB0J2SKw9atX7MwV+2KpoM8elaI2y2m1uopg
ZyyfMKnZDjjmqpGMgdqekjjjNOwCmIk0pX+HtTgTnJpXBK5FFgIYnMfB6VKZN3Q1HgntQi5bFTYB
/TmpI5NuMmoyMNimuhUZNAGhvV1zUZcJyvP0qh5j7cDpUkZIFAFnyt4LO+PaoYgiXIKjPNWI2iEe
6TNMKrJ88QxigZpSfNHk1izKVkIWtC2nZ/3b0y7tR97OKTEZ4bYMHk0GTipVAz0zjvR5Cu+cgCoC
1yoiSSycdKui2UDBPNPQpD8q8mnliTytA7HWU0miirENJp2aKKAQ0nbTMk8gUUUDIJW25zXP6hfE
sVU/WiiqiQzHY5OTSiiirATGakSM0UUAPC5q9bW+cGiipkNFqXCLiqpaiipGRu3FRdTRRQgZIpFS
q3BwaKKoRVPJNSQgUUUhk+wUA4oooACV9Kbx2oopIBrVG4dRk8iiiqAalxHjBGTUqv5nRcCiipGV
pGZ5wg+7mt9YBHbKB3FFFADY7fyzu9abMGYc0UUgRmXBIGFqOBXI60UVLAsKmTWjBb5iBooqWNH/
2Q==</Data>
</Thumbnail>
</Binary>
</metadata>
