A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

[Characteristics and Analysis of Typical Ozone Pollution Processes in Hebi]. | LitMetric

[Characteristics and Analysis of Typical Ozone Pollution Processes in Hebi].

Huan Jing Ke Xue

College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China.

Published: July 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In recent years, the central plains urban agglomeration has been facing air pollution problems, of which the ozone (O) pollution in Hebi City has been particularly prominent, for up to five months, with the most serious pollution situation occurring in June. In this study, the period from June 20-27, 2023, which had the longest O duration (8d) and high O hourly average concentration of 256 μg·m, was selected as a typical O pollution process for characterization and analysis. Various methods, such as the positive definite matrix factor decomposition (PMF) model, air pollutant source emission inventory, and ozone formation potential (OFP), were used to resolve ozone sources. The Meteoinfo model potential source contribution factor method (PSCF) and concentration weighting trajectory (CWT) method were used to explore the regional transport of O. The results showed that: ① O was more strongly correlated with VOCs and became significantly negatively correlated with aromatic, alkane, and halogenated hydrocarbons, followed by NO. ② Based on the local traceability of VOCs, the reactive species such as isoprene, /-xylene, ethylene, 1,2,4-trimethylbenzene, hexanal, and toluene contributed the most to the O generation, and the results of the local emission inventories and PMF modelling showed that the main sources of VOCs included solvent use sources (25.7%), process sources (23.1%), mobile sources (20.4%), fossil fuel stationary combustion sources (9.9%), biomass combustion sources (8.9%), and natural sources (12.15%). ③ In addition, fossil fuel stationary combustion sources and mobile sources also contributed the most to NO emissions. ④ In response to the pollution process, man-made sources of O pollution were influenced by air masses from different directions in the surrounding cities of Xinxiang, Anyang, and Zhengzhou. Natural sources were mainly influenced by a southeastern air mass dominated by Zhoukou and Chuzhou. In summary, O pollution prevention and control should focus on cutting down the enterprises with high VOCs emissions such as the coal chemical industry in Baoshan Park and the fine chemical industry in Jijishan Park in Hebi, as well as electric power enterprises mainly based on Heqi and Fenghe Power Generation Limited Liability Company, and timely checking the standards for the use of machinery at construction sites and agricultural machinery, while it is crucial to strengthen the regional joint prevention and control.

Download full-text PDF

Source
http://dx.doi.org/10.13227/j.hjkx.202405328DOI Listing

Publication Analysis

Top Keywords

sources
12
combustion sources
12
pollution
8
mobile sources
8
fossil fuel
8
fuel stationary
8
stationary combustion
8
natural sources
8
prevention control
8
chemical industry
8

Similar Publications