SinoGreenTech Academic Portal
Official PDF TranslationEnvironmental Chemistry

Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 during Winter in Xi'an under Different Pollution Levels Based on the PMF Model

Authors: GAO Fei; DONG Yawei; TIAN Tian; WANG Yuwei; ZHANG Yu; ZHAO Bei

DOI: 10.7524/j.issn.0254-6108.2026021202Status: Verified Translated Edition
Sponsored AdvertisementAd Placement Area
reCAPTCHA Bot Shield Active

Preparing Secure Academic Download

Verifying human reader & generating high-resolution document...

Verifying Document Integrity15s remaining
← Back to Article
Protected by Google reCAPTCHA v3.PrivacyTerms
Sponsored ContentAdSense In-Feed Ad Slot

Key Findings in This Report

• • Heavy pollution episodes in Xi'an winter saw PM2.5 average concentrations of 173.5 μg·m−3, 4.1 times higher than non-pollution periods, underscoring the need for emergency response during such events. • • PMF analysis revealed that as pollution levels increased, effective source categories decreased from five to four, with Cu contribution rising significantly, indicating a shift to traffic-related mechanical wear, which is critical for targeted emission controls. • • Health risk assessment showed that As and Cr had incremental lifetime cancer risks (ILCR) exceeding 10−4, making them the primary carcinogenic metals, necessitating priority monitoring and regulation. • • Mn posed a significant non-carcinogenic risk (HQ > 1) across all populations, highlighting an often-overlooked metal that requires attention in air quality management.
Download Full PDF: Source Apportionment and Health Risk Assessment of Heavy Metals in PM2.5 during Winter in Xi'an under Different Pollution Levels Based on the PMF Model | SinoTechIntel | SinoGreenTech