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@Article{CapoaneCostKupl:2017:IdÁrSu,
               author = "Capoane, Viviane and Costa, Luis Fernando Flenik and Kuplich, 
                         Tatiana Mora",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o das {\'a}reas suscept{\'{\i}}veis a 
                         transfer{\^e}ncia de poluentes para os sistemas aqu{\'a}ticos 
                         utilizando {\'a}lgebra de mapas",
              journal = "Caminhos de Geografia",
                 year = "2017",
               volume = "18",
               number = "62",
                pages = "114--124",
                month = "jun.",
             keywords = "Sistema de Informa{\c{c}}{\~a}o Geogr{\'a}fica, Efluentes 
                         Su{\'{\i}}nos, Impactos Ambientais, Geographical Information 
                         System, Swine Effluents, Environmental Impacts.",
             abstract = "Este trabalho objetivou gerar um mapa de susceptibilidade a 
                         transfer{\^e}ncia de poluentes para os sistemas aqu{\'a}ticos em 
                         um munic{\'{\i}}pio com suinocultura intensiva utilizando 
                         informa{\c{c}}{\~o}es cartogr{\'a}ficas, sensoriamento remoto e 
                         legisla{\c{c}}{\~a}o ambiental. A proposta visa subsidiar 
                         suinocultores e gestores municipais na defini{\c{c}}{\~a}o das 
                         {\'a}reas priorit{\'a}rias para a gest{\~a}o ambiental. Os 
                         dados cartogr{\'a}ficos utilizados para a 
                         determina{\c{c}}{\~a}o do {\'{\I}}ndice Topogr{\'a}fico de 
                         Umidade (ITU) e {\'{\I}}ndice Topogr{\'a}fico de Capacidade de 
                         Transporte de Sedimentos (ITCTS) foram extra{\'{\i}}dos da carta 
                         topogr{\'a}fica. O uso da terra foi classificado a partir de 
                         imagens RapidEye. As {\'A}reas de Preserva{\c{c}}{\~a}o 
                         Permanente (APPs) foram definidas conforme a Lei 12.651/12. O ITU 
                         e o ITCTS, gerados a partir do modelo digital de 
                         eleva{\c{c}}{\~a}o, foram reclassificados em cinco intervalos e 
                         procedeu-se a tabula{\c{c}}{\~a}o cruzada. As 
                         combina{\c{c}}{\~o}es resultantes foram agrupadas em quatro 
                         classes de susceptibilidade (Baixa, M{\'e}dia, Alta e Muito 
                         Alta). Posteriormente, foram integradas ao mapa a classe de uso 
                         mata; o buffer com as APPs e; o buffer de 150 metros das granjas 
                         de su{\'{\i}}nos. O mapa resultante permitiu a 
                         identifica{\c{c}}{\~a}o dos locais priorit{\'a}rios para a 
                         gest{\~a}o ambiental sendo elas {\'a}reas agr{\'{\i}}colas e 
                         pastagens onde o dejeto de su{\'{\i}}nos {\'e} aplicado como 
                         fertilizante pr{\'o}ximas a cursos d'{\'a}gua e, o entorno das 
                         granjas ABSTRACT: This study aimed to generate a susceptibility 
                         map of the transfer of pollutants into aquatic systems in a county 
                         with intensive pig farming, using cartographic information, remote 
                         sensing and environmental legislation. The proposal aims to 
                         support pig farmers and municipal managers in defining priority 
                         areas for environmental management. The cartographic data used for 
                         determining the Topographic Wetness Index (TWI) and the 
                         Topographic Sediment Transport Capacity Index (TSTCI) were 
                         extracted from the topographic chart. Land use was classified from 
                         RapidEye images. The Permanent Preservation Areas (PPAs) were 
                         defined according per Law 12.651/12. The TWI and the TSTCI, 
                         generated from the digital elevation model, were reclassified into 
                         five intervals and proceeded the cross tabulation. The resulting 
                         combinations were grouped into four susceptibility classes (Low, 
                         Medium, High and Very High). Later were integrated into the map, 
                         the class forest use; the buffer with the APPs and; the pig farms 
                         buffer of 150 meters. The resulting map allowed the identification 
                         of priority sites for environmental management being them, 
                         agricultural areas and pastures where the pig slurry is applied as 
                         a fertilizer close to the watercourses and; the areas surrounding 
                         the farms.",
                 issn = "1678-6343",
             language = "pt",
           targetfile = "capoane_identificacao.pdf",
        urlaccessdate = "28 nov. 2020"
}


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