Calibration of FEST-EWB hydrological model using remote sensing data in a climate transition region in Brazil

Araújo, Diego Cezar dos Santos; Montenegro, Suzana Maria Gico Lima; Corbari, Chiara; Viana, Jussara Freire de Souza

doi:10.1080/02626667.2021.1881100

Cited by 5 publications

(1 citation statement)

References 45 publications

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“…However, the continuous monitoring of regions or strategic locales is essential to ensure the management of water resources, alert emissions and enhance the decision-making actions. In this way, the use of remote sensing data applied in semiarid regions for this type of study has a high potential to assist regional, state, or national management authorities, especially in the recent drought events in the Brazilian semiarid region (Souza et al, 2018;Araújo et al, 2021). 58 | n.1 | Mar 2023 | 20-29 -ISSN 2176-9478 Considering the above, the aim of this article was to detect, delimit, and quantify the hydric area of Poço da Cruz water reservoir located in Ibimirim, Pernambuco (PE), semiarid of Brazil, with modeling based on Landsat 8/OLI satellite multispectral images and relate with the data of media pluvial precipitation of the product CHIRPS, from 2015 to 2020.…”

Section: Delimitation Of Water Areas Using Remote Sensing In Brazil's...mentioning

confidence: 99%

Delimitation of water areas using remote sensing in Brazil’s semiarid region

Almeida

Araújo

Soares

et al. 2023

Rev. Bras. Ciênc. Ambient.

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Remote sensing techniques are of fundamental importance to investigate the changes occurred in the terrestrial mosaic over the years and contribute to the decision-making by increasing efficient environmental and water management. This article aimed to detect, demarcate and quantify the hydric area of Poço da Cruz reservoir, located in Ibimirim, Pernambuco, semiarid region of Brazil, with modeling based on Landsat 8/OLI satellite multispectral images from 2015 to 2020, and to relate it with data from the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellites average rainfall. For this purpose, the Modified Normalized Difference Water Index (MNDWI) was modeled, being produced georeferenced theme maps and extracted only the pixels represented by positive spectral values, which represent water targets. The open-access software Quantum Geographic Information System (QGIS, version 2.18.16) was used for all stages of digital image processing and connection with complementary databases on the theme maps elaboration. In the results, changes in the spatial distribution of Poço da Cruz were evidenced and analyzed using precipitation data from the CHIRPS product, allowing a better understanding of the rainfall behavior in the region and its influence. The MNDWI was lined with the CHIRPS product, in which the spatial correlation between the rainy event and the water area’s delimitation is documented, especially in October 2017 (minimum values) and October 2020 (maximum values).

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Section: Delimitation Of Water Areas Using Remote Sensing In Brazil's...mentioning

confidence: 99%

Delimitation of water areas using remote sensing in Brazil’s semiarid region

Almeida

Araújo

Soares

et al. 2023

Rev. Bras. Ciênc. Ambient.

Self Cite

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Calibration of a Distributed Hydrological Model (VIC-3L) Based on Global Water Resources Reanalysis Datasets

Koohi

Azizian

Brocca

2022

Water Resour Manage

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The lack of observed ow datasets for calibration of rainfall-runoff models imposes fundamental problems for the applicability of them in most catchments, especially in poorly gauged or ungauged river basins. By developing satellite technologies over the past decades, several water balance components globally databases by remote sensing and data assimilation techniques have been developed and provided to researchers. This study performs various products of surface soil moisture (ASCAT, HTESSEL, HBV, and LISFLOOD), evapotranspiration (W3RA, GLEAM, HBV and Ensemble), and surface runoff (SURFEX-TRIP and Ensemble) to the calibration of the macro-scale hydrological model (VIC-3L) over the Se dRood basin (SRB) in Iran. Results show that using the distributional approach and applying LISFLOOD lead to an acceptable performance in the ow hydrograph simulation than others with Nash-Sutcliffe (NS) values of 0.68 and Root Mean Square Error (RMSE) values of 64.84 m 3 /s. Among the studied evapotranspiration sources, the GLEAM daily and monthly time scales with NS values of 0.59 and 0.51, respectively, have better performance than other products in the simulation of ow hydrograph.Based on the results, the application of evapotranspiration has been better than soil moisture and surface runoff in estimating low-ows. Finally, results indicated that the multi-objective approach (GLEAM and ASCAT) had better performance than single-objective calibration to estimate runoff volume with Relative Error = 9.1 %. This study encourages applying the re-analysis database to hydrological models' calibration process to estimate discharge in data-limited areas.

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