Name: Karinnie Nascimento de Almeida
Type: MSc dissertation
Publication date: 20/12/2017

Namesort descending Role
José Antônio Tosta dos Reis Advisor *

Examining board:

Namesort descending Role
Alexandro Gomes Facco External Examiner *
Antonio Sérgio Ferreira Mendonça Internal Examiner *
José Antônio Tosta dos Reis Advisor *

Summary: There are several obstacles in conducting high quality hydrological studies. There is a low density of pluviometric stations, faults in historical series, difficulties without access to the site, there are no conditions to install the monitoring of availability and unavailability of the operator. These factors hamper analysis of precipitation regimes, hampering their study and maintenance of hydrological modeling in several places around the world. In this context, the use of remote sensing precipitation estimates represents an alternative for the appropriation of precipitation, especially in river basins that have low densities of rain gauges or pluviographs equiment. The present work evaluates the precipitation to annual totals, monthly totals and long term averages in the Itapemirim river basin, as well as to evaluate the occurrence of rainfall in satellite pixels and rainfall stations closest to the pixel, from The satellite was developed by a partnership between the National Aeronautics and Space Administration (NASA) and the Japanese Aerospace Exploration Agency (JAXA). Historical series corresponding to 14 rain gauges stations arranged throughout the area of the studied basin were studied. In addition, data from the TRMM satellite were analyzed for a spatial mesh of 25 km for the same study area, considering the period between the years 1998 and 2015. Two statistical analyzes were carried out, following the recommendations of the International Precipitation Working Group (IPWG), statistics of quantitative analysis and analysis of occurrence. he quantitative analysis represents the amount of rain precipitated over the area of extension, which indicated that the use of the data from the TRMM satellite presented as an efficient alternative for the appropriation of precipitated annual and monthly totals, in addition to the long term averages precipitation for the study area. On the other hand, the analysis of occurrence, pixel to pixel analysis, that studies the occurrence of a rainy event in the station and in the pixel, indicated that the satellite presented significant values, being that the TRMM satellite has capacity in about 50% of the cases to indicate correctly a rainy day, or drought day and total efficiency of over 70%.

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