Abstract
When using high-resolution satellite remote sensing data to estimate incoming solar radiation, the influence of complex topography must be taken into account. Elevation, land cover, slope and aspect are the controlling factors that affect the spatial distribution of incoming solar radiation. How can we quantify the above factors influence degree? Studying the influence mechanism on the spatial distribution of incoming solar radiation and using remote sensing inversion method and geographic detector for quantitative analysis can provide a scientific basis for the study of incoming solar radiation in complex topography. The remote sensing quantitative inversion method was used to retrieve the incoming solar radiation in the river valley area, and to obtain the spatial distribution of incoming solar radiation in the study area. At the same time, geographical detector was used to quantify the factors affecting the spatial distribution of incoming solar radiation, quantitatively analyzed the influence of various factors on incoming solar radiation, and thoroughly analyzed the influence mechanism factors on its spatial distribution through interaction. The results are as follows: (1) There is a good correlation between the inversion value and the observed value, the average relative error is 4.5%; (2) The distribution of incoming solar radiation has a strong topographic law; (3) The incoming solar radiation decreases with the increase of slope; (4) The incoming solar radiation tends to increase with the increase of elevation. According to the analysis results of geographic detector, in different periods, the influence degree of aspect on the spatial distribution of incoming solar radiation was 0.6940, 0.5661, 0.3368, 0.2646, 0.5929, 0.6562 and 0.6964 respectively, the influence degree of slope was 0.1242, 0.2900, 0.6339, 0.7214, 0.2846, 0.1861 and 0.1252 respectively, the influence degree of land cover was no more than 0.2465, and elevation has the least influence degree, not exceeding 0.0423.
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This research was supported by the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent. Research Project (Grant no. SKLGP2017Z005).
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Communicated by: H. Babaie
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Zhang, C., Guo, Y., He, Z. et al. Analysis of Influence Mechanism of Spatial Distribution of Incoming Solar Radiation Based on DEM. Earth Sci Inform 15, 635–648 (2022). https://doi.org/10.1007/s12145-021-00740-0
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DOI: https://doi.org/10.1007/s12145-021-00740-0