Discrimination Techniques of Heavy Foggy Days in Leizhou Peninsula and the Application Effect Analysis

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Second International Conference on Geographic Information and Remote Sensing Technology, GIRST 2023
编辑Fabio Tosti, Muhammad Bilal
出版商SPIE
ISBN(电子版)9781510668478
DOI
出版状态已出版 - 2023
已对外发布
活动2nd International Conference on Geographic Information and Remote Sensing Technology, GIRST 2023 - Qingdao, 中国
期限: 21 7月 202323 7月 2023

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
12797
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议2nd International Conference on Geographic Information and Remote Sensing Technology, GIRST 2023
国家/地区中国
Qingdao
时期21/07/2323/07/23

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