Applied and Computational Engineering

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Proceedings of the 4th International Conference on Materials Chemistry and Environmental Engineering

Series Vol. 63 , 09 May 2024


Open Access | Article

Intelligent monitoring of surface evapotranspiration in the Heihe River Basin based on dual-source modelling

Zijie Pang * 1 , Kehao Su 2
1 Xinjiang University
2 China University of Petroleum (East China)

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 63, 68-77
Published 09 May 2024. © 09 May 2024 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zijie Pang, Kehao Su. Intelligent monitoring of surface evapotranspiration in the Heihe River Basin based on dual-source modelling. ACE (2024) Vol. 63: 68-77. DOI: 10.54254/2755-2721/63/20240996.

Abstract

[Objective] The Heihe River Basin, located in northwestern China, is the second largest inland basin in China, and its water resources play a crucial role in the ecology, agriculture and human life of the region. The aim of this study is to investigate the spatial and temporal variations of surface evapotranspiration in the Heihe River Basin and the potential impacts of these variations on water resource management. [Methods] To achieve this goal, we applied the PM-based dual-source model, a meteorological model for estimating global surface ET, which takes into account a variety of factors such as temperature, humidity, wind speed and downward solar shortwave radiation. By analysing the meteorological data and remote sensing data of the Black River Basin, we first investigated the spatial and temporal distribution of surface evapotranspiration. [Conclusion] The results show that surface evapotranspiration shows obvious seasonal and regional variations and is significantly affected by meteorological conditions. The inversion of surface ET in the Heihe River Basin by this dual-source model needs to be improved, and the trend of ET values calculated by the model is relatively small compared with the actual values.

Keywords

lack River Basin, surface evapotranspiration, dual-source modelling, remote sensing, spatial and temporal variability

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 4th International Conference on Materials Chemistry and Environmental Engineering
ISBN (Print)
978-1-83558-417-0
ISBN (Online)
978-1-83558-418-7
Published Date
09 May 2024
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/63/20240996
Copyright
09 May 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

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