@InCollection{AlcāntaraNSBLABS:2010:SuCoUs,
               author = "Alc{\^a}ntara, Enner Herenio de and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes and Stech, Jos{\'e} Luiz and Barbosa, Claudio 
                         Clemente Faria and Lorenzzetti, Jo{\~a}o Antonio and Assireu, 
                         Arcilan Trevenzoli and Bonnet, Marie Paule and Souza, Arley 
                         Ferreira de",
                title = "A Successful Combined Use of Telemetric Monitoring System and 
                         Spatial Data Modeling to Study the Turbidity Behavior in the 
                         Amazon Floodplain",
            booktitle = "Floodplains: Physical Geography, Ecology and Societal 
                         Interactions",
            publisher = "Nova Science Publishers",
                 year = "2010",
               editor = "Alvarez, Marc A.",
                pages = "1--31",
              address = "New York",
             keywords = "Ecology.",
             abstract = "This chapter will show the successful combination of telemetric 
                         monitoring system and spatial data modeling to study water quality 
                         parameters, in special the turbidity. The observations of 
                         turbidity provide quantitative information about water quality. 
                         However, the number of available in situ measurements for water 
                         quality determination is usually limited in time and space. Here, 
                         we present an analysis of the temporal and spatial variability of 
                         the turbidity of an Amazon floodplain lake using two approaches: 
                         (i) wavelet analysis of a turbidity time series measured by an 
                         automatic monitoring system, which should be improved/simplified; 
                         (ii) turbidity samples measured in different locations and then 
                         interpolated using an ordinary Kriging algorithm. The spatial and 
                         temporal variability of turbidity are clearly related to the 
                         Amazon River flood pulses in the floodplain. When the water level 
                         in the floodplain is rising or receding, the exchange between the 
                         Amazon River and the floodplain is the major driving force in 
                         turbidity variability. At high water levels, turbidity variability 
                         is controlled by LakeBathymetry. When the water level is low, wind 
                         action and LakeMorphometry are the main causes of turbidity 
                         variability. The combined use of temporal and spatial data shows a 
                         good potential for better understanding of the turbidity behavior 
                         in a complex aquatic system such as the Amazon floodplain. © 2011 
                         Nova Science Publishers.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and undefined and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and undefined 
                         and undefined and Institut de Recherche pour le 
                         D{\'e}veloppement, France; and ETEP Faculdades, Image Processing 
                         Division, P.O. Box 12242-800, S{\~a}o Jos{\'e} dos Campos, SP, 
                         Brazil",
                 isbn = "{10: 1617282774} and {13: 978-1617282775}",
                label = "lattes: 7939379291404418 1 Alc{\^a}ntaraNSBLABS:2010:SuCoUs",
             language = "en",
                  url = "https://www.novapublishers.com",
        urlaccessdate = "17 jun. 2024"
}