西安市城市气溶胶污染岛长时间序列特征分析

doi:10.19741/j.issn.1673-4831.2023.0057

Abstract

Abstract: Urban aerosol pollution island (UAPI) has significant impacts on human health, urban thermal environment, urban climate, atmospheric radiation transmission, etc. In this paper, the PM_2.5data of multiple stations in Xi'an from 2016 to 2019 were used to quantitatively calculate the intensity of UAPI, and then the daily and annual variations of PM_2.5 and the intensity of UAPI were analyzed. Additionally, the empirical mode decomposition (EMD) method was employed to analyze the multi-scale characteristics of the long-term time series of UAPI intensity. The results show that there was obvious urban aerosol pollution island effect in Xi'an, and the proportion of UAPI intensity greater than 10 μg/m³ reached 87.63%. In terms of intraday variations, UAPI intensity exhibited a characteristic of being higher at night and lower during the day time; in the annual variations, a "U"-shaped distribution was observed with higher values in winter and spring, and lower values in summer and autumn. On an interannual scale, the UAPI effect showed a gradual weakening trend from 2016 to 2019. The EMD decomposition can effectively reveal the multi-scale characteristics of UAPI intensity, such as IMF2, IMF4, and IMF6, which respectively reflect the characteristics of UAPI intensity with weekly, monthly, and annual cycles. By comparing PM_2.5 time series with UAPI time series, this study can be helpful for the effective elimination of the influence of cross regional transmission pollution and large-scale secondary pollution on the intensity of UAPI.

Key words: PM_2.5, urban aerosol pollution island (UAPI), urban-rural differences, empirical mode decomposition (EMD)

CLC Number:

X171.5

LI Rui, CHEN Jian, LU Jia-dong, ZHU Shan-you. Analysis of Long Time Series Characteristics of Urban Aerosol Pollution Island in Xi'an[J]. Journal of Ecology and Rural Environment, 2024, 40(4): 490-498.

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Analysis of Long Time Series Characteristics of Urban Aerosol Pollution Island in Xi'an

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