The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China
Severe haze events have many adverse effects on agricultural production and human activity. Haze events are often associated with specific patterns of atmospheric circulation. Therefore, studying the relationship between atmospheric circulation and haze is particularly important for early warning an...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/11/21/5979 |
id |
doaj-3526665c497c4bf59226a36ab2b1cd2d |
---|---|
record_format |
Article |
spelling |
doaj-3526665c497c4bf59226a36ab2b1cd2d2020-11-25T01:50:57ZengMDPI AGSustainability2071-10502019-10-011121597910.3390/su11215979su11215979The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, ChinaZezheng Zhao0Hailing Xi1Ana Russo2Huadong Du3Youguo Gong4Jie Xiang5Zeming Zhou6Jiping Zhang7Chengcai Li8Chengjun Zhou9College of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, ChinaResearch Institute of Chemical Defence, Beijing 102205, ChinaInstituto Dom Luíz, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Edifício C1, Piso 1, 1749-016 Lisboa, PortugalCollege of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, ChinaResearch Institute of Chemical Defence, Beijing 102205, ChinaCollege of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, ChinaCollege of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, ChinaDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, ChinaDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, ChinaCollege of Meteorology and Oceanology, National University of Defense Technology, Nanjing 211101, ChinaSevere haze events have many adverse effects on agricultural production and human activity. Haze events are often associated with specific patterns of atmospheric circulation. Therefore, studying the relationship between atmospheric circulation and haze is particularly important for early warning and forecasting of urban haze events. In order to study the relationship between multi-scale atmospheric circulation and severe haze events in autumn and winter in Shanghai, China, we used a T-mode objective classification method to classify autumn and winter atmospheric circulation patterns into six types based on sea level pressure data from 2007 to 2016 in the Shanghai area. For the period between September 2016 and February 2017, we used the Allwine−Whiteman method to classify the local wind in Shanghai into three categories: stagnation, recirculation, and ventilation. By further studying the PM<sub>2.5</sub> concentration distribution, visibility distribution, and other meteorological characteristics of each circulation type (CT) and local wind field type, we found that the Shanghai area is most prone to severe haze when exposed to certain circulation patterns (CT1, CT2, and CT4), mainly associated to the cold air activity and the displacement of the high pressure system relative to Shanghai. We also found that the local wind fields in the Shanghai area are dominated by recirculation and stagnation events. These conclusions were further verified by studying a typical pollution process in Shanghai in November 2016 and the pollutant diffusion path using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) simulation model.https://www.mdpi.com/2071-1050/11/21/5979synoptic classificationcirculation typeswind fieldair qualitypm<sub>2.5</sub>hysplit model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zezheng Zhao Hailing Xi Ana Russo Huadong Du Youguo Gong Jie Xiang Zeming Zhou Jiping Zhang Chengcai Li Chengjun Zhou |
spellingShingle |
Zezheng Zhao Hailing Xi Ana Russo Huadong Du Youguo Gong Jie Xiang Zeming Zhou Jiping Zhang Chengcai Li Chengjun Zhou The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China Sustainability synoptic classification circulation types wind field air quality pm<sub>2.5</sub> hysplit model |
author_facet |
Zezheng Zhao Hailing Xi Ana Russo Huadong Du Youguo Gong Jie Xiang Zeming Zhou Jiping Zhang Chengcai Li Chengjun Zhou |
author_sort |
Zezheng Zhao |
title |
The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China |
title_short |
The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China |
title_full |
The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China |
title_fullStr |
The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China |
title_full_unstemmed |
The Influence of Multi-Scale Atmospheric Circulation on Severe Haze Events in Autumn and Winter in Shanghai, China |
title_sort |
influence of multi-scale atmospheric circulation on severe haze events in autumn and winter in shanghai, china |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2019-10-01 |
description |
Severe haze events have many adverse effects on agricultural production and human activity. Haze events are often associated with specific patterns of atmospheric circulation. Therefore, studying the relationship between atmospheric circulation and haze is particularly important for early warning and forecasting of urban haze events. In order to study the relationship between multi-scale atmospheric circulation and severe haze events in autumn and winter in Shanghai, China, we used a T-mode objective classification method to classify autumn and winter atmospheric circulation patterns into six types based on sea level pressure data from 2007 to 2016 in the Shanghai area. For the period between September 2016 and February 2017, we used the Allwine−Whiteman method to classify the local wind in Shanghai into three categories: stagnation, recirculation, and ventilation. By further studying the PM<sub>2.5</sub> concentration distribution, visibility distribution, and other meteorological characteristics of each circulation type (CT) and local wind field type, we found that the Shanghai area is most prone to severe haze when exposed to certain circulation patterns (CT1, CT2, and CT4), mainly associated to the cold air activity and the displacement of the high pressure system relative to Shanghai. We also found that the local wind fields in the Shanghai area are dominated by recirculation and stagnation events. These conclusions were further verified by studying a typical pollution process in Shanghai in November 2016 and the pollutant diffusion path using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory model) simulation model. |
topic |
synoptic classification circulation types wind field air quality pm<sub>2.5</sub> hysplit model |
url |
https://www.mdpi.com/2071-1050/11/21/5979 |
work_keys_str_mv |
AT zezhengzhao theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT hailingxi theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT anarusso theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT huadongdu theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT youguogong theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT jiexiang theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT zemingzhou theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT jipingzhang theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT chengcaili theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT chengjunzhou theinfluenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT zezhengzhao influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT hailingxi influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT anarusso influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT huadongdu influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT youguogong influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT jiexiang influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT zemingzhou influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT jipingzhang influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT chengcaili influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina AT chengjunzhou influenceofmultiscaleatmosphericcirculationonseverehazeeventsinautumnandwinterinshanghaichina |
_version_ |
1724999233984004096 |