Study on water and heat fluxes of typical underlying surface in the old course of Yellow River based on remote sensing and eddy covariance system

Xiaojuan Ren; Pengfei Li; Man Zhang; Jingyu Wang; Guodong Li

doi:10.1117/12.3010489

15 November 2023 Study on water and heat fluxes of typical underlying surface in the old course of Yellow River based on remote sensing and eddy covariance system

Xiaojuan Ren, Pengfei Li, Man Zhang, Jingyu Wang, Guodong Li

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128150L (2023) https://doi.org/10.1117/12.3010489
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

In order to reveal the characteristics of water and heat fluxes on different underlying surfaces of the old course of Yellow River under the background of climate warming, the M-K mutation test and Morlet wavelet analysis were used to analyze the annual average temperature in the past 71 years. The SEBS model was used to simulate the water and heat fluxes of different land use types in the old course of Yellow River. Finally, the energy balance characteristics of typical cultivated land in different seasons were analyzed by the eddy covariance system observation experiment. The results showed that the annual average temperature in the old course of Yellow River in the past 71 years showed an upward trend, and there were 6 years, 10 years, 15 years and 31 years of oscillation cycles. The area of dry land, forest land, grassland and unused land decreased from 1980 to 2020, and the area of water area, construction land and paddy field increased. Lakes, canals and other waters are the low-value areas of sensible heat flux in this area. The average value of latent heat flux in lakes, canals, and rivers is the highest, and the construction land is the lowest. The energy distribution is dominated by latent heat flux consumption in spring, summer and autumn, and by sensible heat flux consumption in winter. The results of this study will provide a scientific basis for coping with climate change and protecting the ecological environment of the basin.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaojuan Ren, Pengfei Li, Man Zhang, Jingyu Wang, and Guodong Li "Study on water and heat fluxes of typical underlying surface in the old course of Yellow River based on remote sensing and eddy covariance system", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128150L (15 November 2023); https://doi.org/10.1117/12.3010489

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