<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20190411</CreaDate>
<CreaTime>15441700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Rivers where potential Chemical pollution was identified in the course of catchment characterisation and what the suspected source was.</idAbs>
<searchKeys>

<keyword>EPA</keyword><keyword>CatchmentCARE</keyword><keyword>Donegal County Council</keyword><keyword>ABC Council</keyword><keyword>AFBI</keyword><keyword>Finn</keyword><keyword>Loughs Agency</keyword><keyword>IFI</keyword><keyword>Ulster University</keyword><keyword>GSI</keyword><keyword>GSNI</keyword><keyword>BGS</keyword><keyword>Rivers</keyword><keyword>RBMP</keyword><keyword>WFD</keyword><keyword>Water Management</keyword><keyword>Watercourse</keyword></searchKeys>
<idPurp>Rivers with potential Chemical pollution as identified by the EPA during Catchment Characterisation</idPurp>
<idCredit>EPA, CatchmentCARE</idCredit>
<resConst>
<Consts>
<useLimit>For CatchmentCARE use only</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4bxH4jkvvFmj+FdD16OzubpJZ7qW3iSaSON
VyoG4FRuIPYniodQ+F/9sBv7U8X+I7oqhWAfaEjWM9QxCKAxBwefQUAd/RXn2m+JtZ8JRvpfi3Tb
+6htseVrVjbPPFLEBy8oXJjI5J4x1x0563RPEejeI7X7Ro+pW95H38p/mXkjleo5B6igDUoqJbq3
eV4lniaRBlkDglfqO1S0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFBIAyTgCkVldFdGDKwyCDk
EUALRRRQAUUUUAFcH4tluNe8Zab4QivprC0e3a7vpYbkRSTxkSIsUYIJb5ly3ov1rvK5bx1oU+q6
J9t0xYl1rTHF5YytHuJdPm8vORw4yp5xzQBo6P4U8P6AUbStGsLSVYxF50NuiyMvHVgMnpznrWxV
HRtTi1rQ7DVIOIry3jnUHqAyg4PvzV6gArl9Z+HfhTXI5Bc6PbxSujIZ7QeRJz/tJjPIzg5Htya6
iigDh7v4Q+CLmwFrFosdmykFLi1YrMpBzw5yfbnNOTTPGnhuVjpmoQ+ItOJLC11OQxXMfXhZwCG/
4EvbrXbUUAYGi63rF9qMtnqvhm50wrGZEuPtEc0LjIG3cpyG5zgjseemd+iigAooooAKKKKACiii
gAooooAKKqapqdlo2mXGpahcJb2luhklkc8AD+Z7AdSTgVxEUHirx7bwT3kn/CPeH7hN/wBmt5y1
3cJuGN7BR5YZc8Ak/NigC94UvNQ8R+Itf1ieR10ZZDptlaFyUcRMwklK9MsxI9cDB6Csdp/E3w91
CDRNG0K48Q6Jcb5LQK7o9gqgExNI25Sv9wHb6ZNd/pGkWOhaVBpmmwCC0gBEcYYnGSSSSeSSSSSe
pNXaAODX4veGBe29rcLqdo0kYaV7qxkjW2JGdshI4I7kZXnrjmursfEGi6nDLNp+r2F3FCN0r29y
kioPViCcD61okAjBGQa5/U/A/hfWLhJ77Q7KWVRjeI9hYccNtxuHA4ORQBVvvH+jpO9jo7NrmqYI
W00794A3TDyD5I+eu4jHpWj4a8S2HifSLa9tJYxLJGGmtvMDSQP/ABI46gg8HIFaFjp1jpdsLbT7
O3tIB0it4ljUfgABWPqfgXwvrF8b690W1kuz1nVSjn6suCepoA6GiuJGh+IvCkxHhh11PS5B/wAg
3UrtgbY9jFKQx2442tnHBBHNWP7c8atIQvgy2CNgKX1dBtPcthDxz2yeDxyKAKfwx82LTtWtbcl9
Et9RnTTJmRULpvYyYCkgoH3bTxkdhXdV5toWo6v8ONHstJ8TWIn0qEBF1mxy6RZOT56n5lGSf3mM
HjIFeiW9zBdRebbzRzR/3o3DD8xQBLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXmx+I2veIdJjn8
HeEryRrh0SC71ExiBPmw5dUk3AAe/f2weo8ca7P4b8G6jqlpH5l3Gqx26YzmV3CJx3+ZhTvBeg/8
Iz4Q07SmJMsUe6ZmADNIx3MTgkE5J5yenWgDH0/4c2txff2v4tuB4h1YgBTcRgW9uOu2KLoB7nJP
Xjmu3oooAKKKKACiiigAooooAKKKKAGSxRzxNFLGskbjayOMhh6EVwV1pWj+EfiJoF3YWNtpdnqE
NxZTG2jEMTzfI0SuBgZIWTHHX616BWV4m0VPEXhnUdJcopurd443ddwjcj5Hx6q2D+FAGrRXL+FN
Z1S4v9S0PW/sZ1HTBCTLau22ZHTIba3IOQc9q6igAooooAKKKKACiiigArj9W1TxlodzLfPp1jq2
jpIzNDp6Ot4kXOMKzFZGHGcYz2ArsKKAM7QtcsPEejW+q6bI8lpOMozxshPY8EdjkenFaNef3Ph/
VPBWsHVfCdtLeaVdSltQ0USAbSf+WtvuICtnqucEfQYkfVfH/iGzZtJ0ay8PxtnZNqspkn69fKVc
KeP4ieooAj16/Hi/xRZeHtKgkmj0fUobzUb3jyYjGdwiB/ikJxkdsV6BWJ4S8MWnhHw7baTaEybB
vmnYfNPKfvSHk8k9snAwO1bdABRRRQAUUUUAFFFFABRRRQAUUUUAFFZmt6/pnh2we81O6SFFUlUz
l5COyL1Y8jgetc1bReMvFQjmvLj/AIRrTGy6Q2oDXrgk7RIXUrGQMEgBjzjigCLxfc2Gn+NPDOqW
9/brqoul0+a1Ei+ZPbzHacrkMQjYYdQOTiu9ryjVfhVrFp4ltPEHhnXfMv43BkfWXaVyApU/OASy
nIOwjGQMFa6/w3rl4NQuPDniCRP7atsyRSqoRb23LHbKi54I6MvY+xFAHUUUUUAFFFFABRRRQAUU
UUAFFFFABRRRQAUUUUAFFFFABXNal480LTtRn00SXV7qMJUPaWNpJO6k9ASq7VPOeSK6GeGK5gkg
mRZIpFKOjDIZSMEGq2laPp2h2QstLsoLO2DFvKhQKMnqeO9AHOSeJvFF8gGj+DLqIkZMur3MUCqe
uNqM7H9OarP4v8TaHCjeI/Cc0kYK+Zd6RIJ41BIBJjOJOMjOAc4JFdzRQBT0nVbHXNLt9S024W4s
7hd0cgBGRnB4OCCCCCDyMVcrjm8FahYzTN4e8U3umQyTvci0kgiuIFkdiz4BAbaSxO0MOTmsPXtI
1+z0o3fivxqV0/TszQT6db/Zri4mIIQOASpwThUUfNxnNAGrqBtbv4u6ZDqNsZUg02R9OYxb0E5c
GU57MqpFjp9/3FdxXHfD/wAJxaHolrf39jCniK6iZr+6wDLIzuXIZvrjjoMYHSuxoAKy9b8OaP4j
gjh1ewiulibfGWyGjPqrDBH4GtSigDiLWz8U+Dttlp9u3iPRF+WBJLlIry1H93c+FkQdiSGGcc4q
yfHkWnSAeJdHv9BiY4S6ujHJAT/dMkbMFPB+9iuupGUMpVgCCMEHvQBzr/EDwekkUf8Awk+ku8rh
FEV2knJOBnaTge5wK6JWDKGUggjII71VfStOlt5beSwtXhmXZLG0KlXX0YYwR7Gufs/A0ek6gs+j
a3qmn2fnrK+mxtG9sQMZRVZSUBx/CwxzjFAHV0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF
FFABXD/FW7SHwf8AZo43l1G5uYBYRJGxLzLKrAKQMK2ASM46exruK4LVr6LxR4/0HTdNle6sdJnl
u9SlgyYo5VTEUbOBjfuJO3OQByOeADu0YtGrMpRiASpOcH04p1FFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFAFe/vrbTNPuL+8k8u2t42llfaW2qBknABJ49KTT9Rs9W0+G/0+5j
ubSdd0csbZVh/nj2qzXnx8F+JNC1O+Hg7V9P0/Sb+Xz3tbq2aT7NIRhjEAcYPXB4BHHFAHc319aa
ZZTXt9cRW1rCu6SWVgqqPcmuRm+IkWp3QsvB2nv4guMgSTxyeXawZGfnmwRn/ZAJNVbH4bSahdy3
vjTV7jXJxc+ZDBuMVqqqAF/cg4ycZIJI/UnvYoYoIwkMaRoOiooAoA4f/hBNT8QKJ/F/iK9lkJf/
AEDTJjb2sanouQoeTAxyx/Cus0fRNM8P6etjpNlFaWyknZGOpPUk9Sfc1fooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooA//Z</Data>
</Thumbnail>
</Binary>
</metadata>