Forecast of the trend of heavy fog based on the VARIMAX model
This paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simplify the problem as a time series problem. First, the airport...
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EDP Sciences
2021-01-01
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doaj-f580407faeea4450a0c14e7d9587484c2021-05-28T12:42:12ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570301310.1051/e3sconf/202125703013e3sconf_aesee2021_03013Forecast of the trend of heavy fog based on the VARIMAX modelPeng Boyang0Meng Yuchi1Shi Dapai2Dai Mingyu3Zhou Hao4Chen Tingxuan5Jilin UniversityJilin UniversityHubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and ScienceJilin UniversityJilin UniversityJilin UniversityThis paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simplify the problem as a time series problem. First, the airport AWOS observation data is reprocessed, and some missing and incorrect data are supplemented and corrected. Then draw a distribution map of “Visibility-Near-surface Meteorological Factors” to intuitively grasp the correlation between them. Finally, model the classic VARIMAX to fit the mapping relationship between visibility and near-surface meteorological factors. The results show temperature has the greatest impact on visibility index, positively correlated with it; secondly, dew point temperature index negatively correlated with it. The results show that, with the temperature low and the humidity high, the water vapor in the atmosphere is more likely to condense into mist, which is not easy to dissipate, resulting in reduced visibility. The indicators related to air pressure and wind speed are positively correlated with visibility, indicating that the increase in air pressure and the increase in wind speed will promote the dissipation of heavy fog. Generally speaking, the MOR index fits better with near-surface meteorological factors.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03013.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peng Boyang Meng Yuchi Shi Dapai Dai Mingyu Zhou Hao Chen Tingxuan |
spellingShingle |
Peng Boyang Meng Yuchi Shi Dapai Dai Mingyu Zhou Hao Chen Tingxuan Forecast of the trend of heavy fog based on the VARIMAX model E3S Web of Conferences |
author_facet |
Peng Boyang Meng Yuchi Shi Dapai Dai Mingyu Zhou Hao Chen Tingxuan |
author_sort |
Peng Boyang |
title |
Forecast of the trend of heavy fog based on the VARIMAX model |
title_short |
Forecast of the trend of heavy fog based on the VARIMAX model |
title_full |
Forecast of the trend of heavy fog based on the VARIMAX model |
title_fullStr |
Forecast of the trend of heavy fog based on the VARIMAX model |
title_full_unstemmed |
Forecast of the trend of heavy fog based on the VARIMAX model |
title_sort |
forecast of the trend of heavy fog based on the varimax model |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
This paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simplify the problem as a time series problem. First, the airport AWOS observation data is reprocessed, and some missing and incorrect data are supplemented and corrected. Then draw a distribution map of “Visibility-Near-surface Meteorological Factors” to intuitively grasp the correlation between them. Finally, model the classic VARIMAX to fit the mapping relationship between visibility and near-surface meteorological factors. The results show temperature has the greatest impact on visibility index, positively correlated with it; secondly, dew point temperature index negatively correlated with it. The results show that, with the temperature low and the humidity high, the water vapor in the atmosphere is more likely to condense into mist, which is not easy to dissipate, resulting in reduced visibility. The indicators related to air pressure and wind speed are positively correlated with visibility, indicating that the increase in air pressure and the increase in wind speed will promote the dissipation of heavy fog. Generally speaking, the MOR index fits better with near-surface meteorological factors. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03013.pdf |
work_keys_str_mv |
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