<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20171107</CreaDate>
<CreaTime>10293600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Diversos estados monitoram hoje a qualidade das águas superficiais em seu território e repassam os dados para a ANA. No entanto, em perspectiva nacional, nem sempre é possível comparar os dados gerados já que os estados adotam diferentes critérios, metodologias e parâmetros, não havendo uma padronização em escala de País. A Rede Nacional de Monitoramento de Qualidade das Águas (RNQA) é o principal componente do Programa Nacional de Avaliação da Qualidade das Águas (PNQA), e tem como principal objetivo padronizar e ampliar o monitoramento no País, eliminando as lacunas temporais e geográficas existentes. Os pontos da RNQA foram determinados a partir de uma metodologia de alocação de pontos desenvolvida pela ANA e foram posteriormente analisados juntamente com todos os estados e o Distrito Federal para buscar aproveitar os pontos de monitoramento das redes já existentes.
Além disso, a ANA é responsável pela operação da Rede Hidrometereológica Nacional, que contém estações fluviométricas e gera informações de vazão de rios em todo o País. Em parte dessas estações, aproximadamente 1600, há também o monitoramento de quatro parâmetros de qualidade de água medidos com sondas multiparamétricas (Oxigênio Dissolvido, Turbidez, Temperatura e pH).</idAbs>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Evolução da Rede de Monitoramento de Qualidade da Água</resTitle>
</idCitation>
<searchKeys>
<keyword/>
</searchKeys>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAoprtsjZz/CCeuK81svjLp8jyC/0q4t1H3DBKsu459wuP1rKpWhTaU3a5EqkYfEz0yis3RNe07xBYLd6dOJEwN6Hh4z6MOxrSrRNNXRSaaugooopjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKiubmCztpLm5lSGGMbnkc4Cj3NS1zfiq+tY1Szvb2wisHidr+Gct5rQn5QYwvOdx/wqJy5Y3FJ2Vzetbu3vrWO5tZkmgkGUkjbIb8amrmvB0trBZzaRb3q3X2MqybbcxKkUg3Rj/aOOSevPNdLThLmimKLurhXzV4tdP+Ev1YJbxQotw8YjjHyjacZH5Zr6Vrz3xr8PbfWLi41ZNRhsdsRZkaFVQt3ZnyOvcnNcmOoyqQXL0MsRBzjoeS6N4g1Lw/cNPpdy1vI6hXGAyuPcHj9K9D8OfFe8utRsrLU7WFhcT+W0sQK7Q2Apxk55zn2rirrwN4ksrJrybTGNuqB98UiS5U9xsJ47/SsaS1Mcdq8c8ckk2f3aZ3xkHGGGOp6jGa82nVrUWlqvI4YyqU/I+p6KjgWRLeNZnDyhQHYDAY45OKkr3z1QooooAKKKKACiiigAooooAKKKKACiiigAqpqWp2ej2L3t/OIbdCAzkE4ycDgc9TVuuY8X36PHb6BEIGvNSOxFnX5Qg6sCQQWHBAP+FRUlyxutyZOybLGvapqmnX2lPY2f2uxmkKXWxSWQEfK27OABznNb9cR4zV49O0DQpLmS4+2XkUFwGUbriNcbicdOcHiu1jRYo1jQYRQFUegFTBtykv62FFvmY6vOvijqFzpqWslopEk0MsTyC0ST5crwZDyvJzgda7bWL+fTNOe7gtBclGG9DMsQVc8sWbgADmuR8Xtea9qFrpipNH4dMJnvb9GURspGVIY8YUgHg856VniXeDityar91rqW/h/rGsazZTTalk26xwi3ZogjOdpDtweRken+FdlXi91ov/COW0V9YjUp7RL62Dz712XEQBIZCnIXJA69SO9debjVNSuNR0PxVLZ2Vn5YeG6tpzC8uGDZXceQBweOD65qKVZqPLJa/wBdSKc2lyvc6uTWtLhnngl1G1jlgUNKjzKpQHucnivMNY1O2Hia/PiTWvtdvDG8mnWsP+olVs4VygP09eOvY4qxeGryzvG+yyaatsD5dxE/2l7hC+1mKNjjGPm4AJ4qh4mttHtrXRL/AEgP5Vxbhnt51zyjFdzEHGWIOQMdM965q2IlON9NP62M6lVtHoHgXX/tHiW70+SdkR7aFra0iO+CIKgzsbPA56Y+vNdtLoWkz3i3kum2r3KkMsrRAsCDkHP1NePeAftGp/EI3ulW/wBgswC88UZLIsePuZ9yB/kV7jXVhXz07y7s0oPmi7hRRRXWdAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAyUboXAcxkqRvHVfeuC8D6TZGzbxPdT3M86tNtnmnMgdASDIFxkHg8da9ArnfEHhddXkjuYNUu9NliQxlrd8KY85IK9PxrGpBtqaV7ETjez7HGT+NrPxJqa6ZqdhbR6fK5MN/5/lvHGTgMpIyCSADjHftXbWPiWzSxum1BorE2RAdHuBK3lHASQkf3uP8mvPdY07RNW1m6v7rVI4NEsSNOiSG1I2SEHjKjG0Nlt34YAxTLDQol0SK/1zWku9IinSAR6fEWMwHyqGcBWwCehzx06iuOFWopPr56fic6nNPXX+vyOp1q6u9athDfx31ppN/KtmkVvGGlL78iUsDjyyox3/HrXYraWdrpgtDFEtlFF5ZRwNgQDGDnjGPWqmg6Da+HbKS0s5rl4WkLqs8m/ZkD5V9BxXkHkTXfjWTw3qut3LaaLmWNHN4PlOCRndnJ5Ax6kitpTdK11dyNJScPea1Z6jqL+E9Z0T7Jc3+nPpqOiAR3SoisOVXKkY4B49K4/4nRWCW2mS2r6ZINMPlvbSSkuw+XbHtU5xgZOSP1ri/FFjpXh3UJtJ06e4vMDbc+egAWQfdKkYORk+xzSeH7E+KLy/triNpNQmsc2bnaoLx7fpkkKRn659a5Kld1L0+VX/wAjCdXm9xrXY3dJt4fF3hlNB02+a21C1jMzrJCscc6M4YrlcnCMeM9c9PTG8RaxHfaBpNq8vl3VizxXFjHGEhJBz5g2ccg449yPexfJDp0un2EOnfPpcLDVXlRh80h2tl0+YqN2FxxzxnPOFqcXmA/ZbuG4soGRFZIzGFLgkDDcn7vJ55/Osakny267fd/VjKTaVuv9fkfQHhVbE+G7CfT7SO1hmgR/LQ5xx0J6kjpk81s1naFpiaNoVnp0chlWCILvJ+8epP0ya0a9yKskmejBWirhRRRTKCiiigAooooAKKKKACiiigAooooAKKKKACue8b3CW/hC/Z4oJVZAhjmlMYfJHAI5z6CuhrkPiLKf7BtbNZlia8voYN2zcwBOcr6EYBz/AI1lXdqbJm7RbMvQ/G3hx9GbS4dLNtKtvKz2HlblOxSSGOOSQp6/jVf4f2w1nwPdaNd2V0kM+6UTOmyJtzcBCpBOCoJH4dK5fxVLZXXijUGtLq2WD7KUEttdhDcvtH+sJ4JzngDnGM5Oa6X4X+JtHttHj0qe+eK9eRmCXD/J2wEJAAz/AHc5zmuGnU56vLNrZr1OWM/fUZdLl4+KfEPhu7i0jVdKj1GZ4SbV7BjmQKP4lPI9z+h5rlrGx17XrC812S+06Cy+a5jeWOMIJtw++CnUDI3Edh2rovGGoajqHit9H0q/uYvs+nSTSxW4Ad3wSFU9STleB25615jf3jajdxi/l+xuiJbTjDuW2Lguw/vZxx6/jWdepaVm20r26fj5E1JWdr6I0odDm11IhYaVf31x5he8vlk/dyPuO5VZhtHBHJycjpjmufnebTtTkSC6cNazMsUsbkYwSMr6ZqzHeiymgtV1K8lsEnWSWOMFACD1VScE49QOazp5IpbiaSOERI7EpGpJCDPTnJPFcc2rK25zyat5mnN4hvZbKK0NxcvCFVZIZpt8cm05Hy4GOfetjwfplnqnijSIonZZEczTxi3LKu0lsEknjAUZx3/PI8O6TqGtXyWmlwwtdKwmErtgxhfxxjJHY84969f8FeCJ9GvZta1icXGqz5PynIj3ctk92P8AnrXRhqU6k1JrQ0pQlNrsdxRRRXtnpBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUySGKbZ5saPsYOu5QdrDoR6Gn0UAUDoekGJojpdl5bHLJ9nTBPuMe5rmtY8K6DYQxG5hsLXQY97XCOrBzKwCqyuDkf5/DtK4bUPD/AIsv9dK3Wo2dzodxJtntWTAEW7OACD82P4gc5xzxXPWirWUb/wBdfIzmlba5ziX+o6zqiv4a06eP+zoRHpUzxkLJHwr73Y4PHIz6etcvrOj6jbatdJf6eDJLeN5bbdls5ckDDBgE6Z5Y9Bnoa9Yn0DWrZxaaXqgstEgtDHFBDGHmL4PO5unOOc/l1rhLTwb4g16//s65jm0/SEcXLiZOSzdSDyDJ69APQdK4atGTsrNv8P6/qxzVIPtr+B57Haz3N2Le3gkkmZiFiQFmz6Y716J4N+G8moW+oDX9PltgVC28jMVkVu5C9COnWvUNH8OaToCuNNs0hZ1Cu45ZseprVrajgIx1m7lU8Kk7yOU8JeA7DwnPLcxXEtzdSKYzI4CgLkHAA9wOa6uiiu6EIwXLFaHTGKirIKKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAorO1+e9ttAvptORnvEhYwqke8lu2F7/wCevSvLV8T3Wp6Va2es6nrUUsMrperZWe0kcbUdsgg8N0HOeRxk4Va6pvlaM51FDRnq+n3V3dfaftVg1p5c7Rx7pA/moOj8dM+lWw6szKGBK9QD0rzHxH4s02C2XS9P1XVbG70ofu8JkXDBBtVyTk89QfQ8dK6LwD4futH0ma71Pc2qX7+bcM7EsB/Cp9+Sfxx2pQrc0+Ra23Yo1Ly5VqdbRRRXQahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVw/xCtJLfTp7+3uGDXSLZywNISrIx6xxjG6Xp36A13FQXNla3vlfabeKbyZBLH5ig7HHRh6Gs6sOeLiTKPMrHN+FvBVlodpMJXN99peOY/aoVyjqOvPOckn2rq6KKqMIwVohGKirIKKKKooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z</Data>
</Thumbnail>
</Binary>
</metadata>
