Assessment of temporal dynamics of evaporation in the Itumbiara reservoir, GO, using remote sensing data

Abstract

The object of this work was to study the dynamics of evaporation in the Itumbiara reservoir, located in Central Brazil, using MODIS-derived water surface temperature (product MOD11A1) and meteorological data acquired over the water surface. The evaporation rates were derived from latent heat flux, estimated through a mass transfer model. The estimates were carried out for the period between 1/1/2010 and 31/12/2010. The results showed that evaporation rate tends to increase from January to September and then decrease from September to December. The evaporation rate reached values near 20 mm day-1 in Itumbiara reservoir during the dry season in 2010. The mean evaporation rate for the wet season was 3.66 mm day-1 and 8.25 mm day-1 for the dry season. The total water volume evaporated from Itumbiara reservoir during 2010 was estimated at about 1.7 billion m³ (2,300 mm) which represents 10% of total reservoir volume. The results suggest that advection is the main transport mechanism which drives the evaporation in Itumbiara. The convective processes contribute secondarily to evaporation in Itumbiara reservoir

Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform

“…Remote sensing is a cheaper and precise alternative for monitoring reservoirs, considering the increasing number of reservoirs, extensive flooded areas and constant need to obtain information (Abileah et al, 2011;Collischonn and Clarke, 2016;Lopes et al, 2017;Machado and Baptista, 2016;Paz et al, 2000). Remote sensors allow continuous and systematic collection of data for qualitative and quantitative assessments of the reservoirs that includes, among other things, information about the synoptic view of large areas, trophic condition, possibility to evaluate the spatial variation of evaporation, and higher sampling frequency compared to conventional techniques (Curtarelli et al, 2013;Galo et al, 2002;Machado and Baptista, 2016;White, 1978).…”

Environment–ichthyofauna relations in a neotropical reservoir through a joint remote sensing/field sampling approach

“…Sensors onboard satellites can measure the amount of radiation reflected at different wavelengths, comparing it with reference spectral curves or with field data for the same period of the sensor's passage (Mertes, 2002). This last approach objectively relates the radiation response to the field-collected values, making it possible to spatialise water characteristics and understand their dynamic on a scale that would not be feasible only through obtaining field samplings (Curtarelli et al, 2013(Curtarelli et al, , 2015Martins et al, 2019;Watanabe et al, 2018).…”