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
收藏
页码:456 / 464
页数:9
相关论文
共 50 条
  • [41] A case study of the RothC soil carbon model with potential evapotranspiration and remote sensing model inputs
    D.v.L. Maas, Ellen
    Lal, Rattan A.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2023, 29
  • [42] Remote sensing and conservation of isolated indigenous villages in Amazonia
    Walker, Robert S.
    Hamilton, Marcus J.
    Groth, Aaron A.
    ROYAL SOCIETY OPEN SCIENCE, 2014, 1 (03):
  • [43] Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
    Long, Di
    Longuevergne, Laurent
    Scanlon, Bridget R.
    WATER RESOURCES RESEARCH, 2014, 50 (02) : 1131 - 1151
  • [44] Evaluation of Evapotranspiration in Brazilian Cerrado Biome Simulated with the SWAT Model
    Ferreira, Amanda do Nascimento
    de Almeida, Andreia
    Koide, Sergio
    Minoti, Ricardo Tezini
    Baptista de Siqueira, Mario Benjamim
    WATER, 2021, 13 (15)
  • [45] Evapotranspiration Estimation Based on Remote Sensing and the SEBAL Model in the Bosten Lake Basin of China
    Wang, Yang
    Zhang, Shuai
    Chang, Xueer
    SUSTAINABILITY, 2020, 12 (18)
  • [46] Study of the water saving potential of an irrigation area based on a remote sensing evapotranspiration model
    Qiang Fu
    Wei Liu
    Tianxiao Li
    Dong Liu
    Song Cui
    Arabian Journal of Geosciences, 2018, 11
  • [47] Simple remote sensing data-based evapotranspiration model for oasis in arid zones
    Tsinghua University, Beijing 100084, China
    不详
    Shuili Xuebao, 2008, 4 (483-489):
  • [48] MONITORING EVAPOTRANSPIRATION WITH REMOTE SENSING DATA AND GROUND DATA USING ENSEMBLE MODEL AVERAGING
    Olioso, Albert
    Allies, Aubin
    Boulet, Gilles
    Delogu, Emilie
    Demarty, Jerome
    Elvira, Belen Gallego
    Mira, Maria
    Marloie, Olivier
    Chauvelon, Philippe
    Boutron, Olivier
    Buis, Samuel
    Weiss, Marie
    Velluet, Cecile
    Bahir, Malik
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7656 - 7659
  • [49] Remote sensing Penman–Monteith model to estimate catchment evapotranspiration considering the vegetation diversity
    Fawen Li
    Runxiang Cao
    Yong Zhao
    Dongjing Mu
    Changfeng Fu
    Feng Ping
    Theoretical and Applied Climatology, 2017, 127 : 111 - 121
  • [50] CROP EVAPOTRANSPIRATION ESTIMATES FOR SUGARCANE BASED ON REMOTE SENSING AND LAND SURFACE MODEL IN THAILAND
    Das, Kamal
    Khiripet, Noppadon
    Chattanrassamee, Panyawat
    Kijkullert, Chalerm
    Veerachit, Vorraveerukorn
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5175 - 5178