Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

被引：6

作者：

Leao de Sousa, Adriano Marlison ^{[1
]}

Vitorino, Maria Isabel ^{[2
]}

dos Reis Castro, Nilza Maria ^{[3
]}

Botelho, Marcel do Nascimento ^{[1
]}

Oliveira Ponte de Souza, Paulo Jorge ^{[1
]}

机构：

[1] Univ Fed Rural Amazonia, Inst Socioambiental & Recursos Hidr, BR-66073280 Belem, PA, Brazil

[2] Univ Fed Para UFPA, Fac Meteorol, Programa Posgrad Ciencias Ambientais, Belem, PA, Brazil

[3] Univ Fed Rio Grande do Sul, IPH, Porto Alegre, RS, Brazil

来源：

FLORESTA E AMBIENTE | 2015年 / 22卷 / 04期

关键词：

MODIS; hydrology; modeling;

D O I：

10.1590/2179-8087.083814

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

In this study, we estimated the evapotranspiration from orbital images - MODIS (Moderate Resolution Imaging Spectroradiometer) for assimilation in the hydrological modeling of the SWAT (Soil Water Assessment Tools) model. The data used include the period between October 2003 and December 2006 of the sub-basin of the Lajeado River, located in the Tocantins-Araguaia River basin in Tocantins state. Overall, the results of the use of heat flows estimated by remote sensors in the SWAT model can be considered satisfactory. The values of the COE (coefficient of efficiency of Nash-Sutcliffe) ranged from - 0.40 to 0.91 in the comparison with the daily flow data and from 0.17 to 0.77 with the monthly flow data, with the assimilation of evapotranspiration from orbital images. These results indicate benefit to the model adjustment due to improvement in the data assimilated of approximately 0.91 in the COE on daily scale and 0.60 in the CEO on monthly scale.

引用

页码：456 / 464

页数：9

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