Discrimination techniques of heavy foggy days in Leizhou Peninsula and the application effect analysis

Xueying Liu; Yong Lei; Xiaomeng Shi; Baojun Liu; Feng Li

doi:10.1117/12.3007561

30 August 2023 Discrimination techniques of heavy foggy days in Leizhou Peninsula and the application effect analysis

Xueying Liu, Yong Lei, Xiaomeng Shi, Baojun Liu, Feng Li

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127970Z (2023) https://doi.org/10.1117/12.3007561
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

There are several discrimination techniques of foggy days for processing heavy fog data at home and abroad, but their applicability in Leizhou Peninsula is still unclear. Based on the hourly average observation data of 11 automatic meteorological observation stations in Maoming and Zhanjiang regions in the north, middle and south of Leizhou Peninsula from 2011 to 2020, this paper compares the applicability of three foggy days discrimination techniques, namely, daily average visibility method, 14:00 visibility method and visibility duration method, in Leizhou Peninsula, and selects the best discrimination technique to analyze the spatial-temporal distribution characteristics of heavy foggy days. The results show that the visibility duration method has the highest applicability in Leizhou Peninsula, and is the most accurate for judging the heavy foggy days. Using the method of visibility duration to judge the number of foggy days, it is found that the average foggy days in Gaozhou area in the south of Leizhou Peninsula are 26 days. The seasonal distribution of foggy days in Gaozhou is generally uniform, with the highest number of foggy days in May being 20 days. The spatial distribution of foggy days in Leizhou Peninsula is characterized by the maximum number of average foggy days at observation stations in coastal areas, and the closer the station is to the inland, the fewer foggy days it will have.

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

Citation Download Citation

Xueying Liu, Yong Lei, Xiaomeng Shi, Baojun Liu, and Feng Li "Discrimination techniques of heavy foggy days in Leizhou Peninsula and the application effect analysis", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127970Z (30 August 2023); https://doi.org/10.1117/12.3007561

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KEYWORDS

Visibility

Visibility through fog

Relative humidity

Environmental sensing

Rain

Air contamination

Analytical research

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