Prof. Minghua Liu Profile

Prof. Minghua Liu

at Xinyang Normal Univ.

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 10 February 2023 Paper

Spatiotemporal dynamics of PM2.5 pollution and associated exposure risks for populations in Shandong Province based on remote sensing data (2000–2020)

Wei Yan, Ziyun Jiang, Yifan Wang, Yaogeng Tan, Yanling Hu, Jiasheng Ji, Minghua Liu

Proceedings Volume 12552, 1255204 (2023) https://doi.org/10.1117/12.2667520

KEYWORDS: Pollution, Remote sensing, Air quality, Statistical analysis, Pollution control, Statistical methods

Read Abstract +

Long-term exposure to higher concentrations of PM_2.5 pollution may cause harm to the physical and mental health of humans. Clarifying the spatiotemporal characteristics of PM_2.5 concentration and its population exposure risk (PER) can provide scientific reference for improving the regional habitat environment and reducing air pollution damage to human health. Here, this paper adopted the Sen's nonparametric method, Mann-Kendall test, Hurst exponent, and population exposure risk model to analyse the spatial and temporal variations of PM_2.5 pollution and its exposure risk in Shandong Province (SDP) based on PM_2.5 concentration and population data during 2000-2020. The results showed that: (1) Spatial distribution of PM_2.5 concentration in SDP showed “high in the west and low in the east”, with an interannual fluctuation trend of “significant increase - fluctuating decrease - significant decrease” during 2000-2020. The area with a downward trend of PM_2.5 concentration accounted for 59.419% of the whole province, and the area where air quality will be further improved in the future accounted for about two-thirds. (2) The annual mean value of PER to PM_2.5 pollution in SDP was fragmented in spatial distribution, with low risk dominating in most areas, while the risk areas were mainly distributed in densely populated urban areas. The area with a downward, unchanged, and upward trend of PER to PM_2.5 pollution accounted for 61.827%, 0.423%, and 37.750% of the whole province, respectively. In addition, PER to PM_2.5 pollution will be further reduced in 55.633% of SDP in the future.

Proceedings Article | 22 April 2022 Paper

Variations of surface ozone (O3) pollution and its relationship with meteorological factors in Xinyang City during 2015-2019

Wei Yan, Ziyun Jiang, Feng Zhou, Jia Ning, Minghua Liu

Proceedings Volume 12163, 121634R (2022) https://doi.org/10.1117/12.2627336

KEYWORDS: Meteorology, Statistical analysis, Pollution, Ozone

Read Abstract +

With the rapid development of the economy, surface ozone (O₃) has become one of the most critical pollutants which disturb urban air quality improvement and standard management. It is important to clarify the variation characteristics of urban surface O₃ concentration and its influence factors for scientifically formulating early warning of O₃ pollution and prevention and control schemes. In this paper, based on datasets of surface O₃ concentration and meteorological data of Xinyang City during 2015~2019, the variation characteristics of surface O₃ concentration and the influence of meteorological factors on it were analysed by using statistical analysis and path analysis. The results show that the annual mean O₃ concentration of Xinyang City fluctuated “declining-rising-declining” from 2015 to 2019, and the annual average probability in exceedance of the Chinese grade I and II ambient air quality standards were 41.7% and 10.7%, respectively. The monthly variation of O₃ concentration presented a significant M-type fluctuation, with the peak values appearing in May and September, respectively. The meteorological factors had different degrees of influence on O₃ concentration, with the influence degree in order air temperature < sunshine duration < atmospheric pressure < relative humidity < precipitation < wind speed. The effects of air temperature and relative humidity on O₃ were mainly reflected by direct effects, while that of sunshine duration, precipitation, and atmospheric pressure were mainly reflected through indirect effects.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years