Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Medical waste incineration (MWI) is one of the important sources of carbon dioxide (CO₂) and hazardous air pollutants (HAPs), threatening the triple planetary environmental crisis of climate change, biodiversity loss, and environmental pollution. Utilizing the EMEP/EEA air pollutant emission inventory and the IPCC 2006 guidelines, this study develops a comprehensive inventory of anthropogenic mercury (Hg), dioxins (PCDD/Fs), and CO₂ emissions from the MWI process in China among 2014-2023, employing a bottom-up approach at the plant level. The findings indicate that national MWI emissions of Hg, PCDD/Fs, and CO₂ increased by 1.33, 2.23, and 1.17 times, respectively, across Chinese mainland from 2014 to 2023. Notably, the response to the COVID-19 pandemic has led to a sudden increase of both Hg and PCDD/Fs emissions in the MW incineration process in China, particularly in 2022. Random forest model analysis identifies GDP and total population as key determinants of MWI, with feature importance values of 0.617 (P < 0.05) and 0.100 (P < 0.05), respectively. Additionally, a geographical detector analysis reveals that GDP, openness, and urbanization significantly influence pollutant and CO₂ emissions, with temporal variations in significance. These results provide critical insights for formulating medical waste disposal policies, promoting sustainable management practices in China, and enhancing preparedness for future health emergencies.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jhazmat.2025.137582 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!