Impact of Deep Basin Terrain on PM 2.5 Distribution and its Seasonality Over the Sichuan Basin, Southwest China

27 Pages Posted: 20 Nov 2021

See all articles by Zhuozhi Shu

Zhuozhi Shu

Nanjing University of Information Science & Technology (NUIST)

Tianliang Zhao

Nanjing University of Information Science & Technology (NUIST)

Yubao Liu

Nanjing University of Information Science & Technology (NUIST)

Lei Zhang

China Academy of Meteorological Sciences

Xiaodan Ma

Nanjing University of Information Science & Technology (NUIST)

Xiang Kuang

Nanjing University of Information Science & Technology (NUIST)

Yang Li

Nanjing University of Information Science & Technology (NUIST)

Zhaoyang Huo

Nanjing University of Information Science & Technology (NUIST)

QiuJi Ding

Nanjing University of Information Science & Technology (NUIST)

Xiaoyun Sun

Nanjing University of Information Science & Technology (NUIST)

Lijuan Shen

Nanjing University of Information Science & Technology (NUIST)

Abstract

The terrain effect on atmospheric environment is poorly understood in particular for the polluted region with underlying complex topography. Therefore, this study targeted the Sichuan Basin (SCB), a deep basin with severe PM2.5 pollution enclosed by the eastern Tibetan Plateau (TP), Yunnan-Guizhou Plateaus (YGP) and mountains over Southwest China, and we investigated the terrain effect on seasonal PM2.5 distribution and the meteorological mechanism based on the WRF-Chem simulation with stuffing the basin topography. It is characterized that the three-dimensional distribution of topography-induced PM2.5 concentrations with the seasonal shift from approximately 30 μg m-3 in summer to 90 μg m-3 in winter at surface layer and from summertime 10 μg m-3 to wintertime 30 μg m-3 in the lower free troposphere. Such basin-forced PM2.5 changes were vertically concentrated within the lower troposphere below 3.6 km in spring, 2.3 km in summer, 2.6 km in autumn and 4.8 km in winter with monotonically declines. Impacts of deep basin aggravated PM2.5 accumulation within the SCB and transport toward the surrounding plateaus contributing approximately 50–90 % to PM2.5 levels over the TP and YGP regions. In the SCB, atmospheric thermal structure and vertical circulation in the lower troposphere could build a vertical convergence layer between the boundary layer and free troposphere, acting as a lid inhibiting air diffusion over the SCB, which was regulated by the terrain effects on interactions of westerlies and Asian monsoons, especially the wintertime strong warm lid deteriorating seasonal air pollution. Furthermore, warm and humid air conditions within the basin prompted sulfur oxidation ratio by +0.02 and nitrogen oxidation ratio by +0.22 effectively producing the secondary PM2.5 in atmospheric environment.

Keywords: terrain effect, deep basin, PM2.5 distribution, seasonality, Southwest China

Suggested Citation

Shu, Zhuozhi and Zhao, Tianliang and Liu, Yubao and Zhang, Lei and Ma, Xiaodan and Kuang, Xiang and Li, Yang and Huo, Zhaoyang and Ding, QiuJi and Sun, Xiaoyun and Shen, Lijuan, Impact of Deep Basin Terrain on PM 2.5 Distribution and its Seasonality Over the Sichuan Basin, Southwest China. Available at SSRN: https://ssrn.com/abstract=3968022 or http://dx.doi.org/10.2139/ssrn.3968022

Zhuozhi Shu

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Tianliang Zhao (Contact Author)

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Yubao Liu

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Lei Zhang

China Academy of Meteorological Sciences ( email )

China

Xiaodan Ma

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Xiang Kuang

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Yang Li

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Zhaoyang Huo

Nanjing University of Information Science & Technology (NUIST) ( email )

China

QiuJi Ding

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Xiaoyun Sun

Nanjing University of Information Science & Technology (NUIST) ( email )

China

Lijuan Shen

Nanjing University of Information Science & Technology (NUIST) ( email )

China

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