<p>A comparative analysis was conducted on the contamination levels and distribution of 12 metals/metalloids in soil from core cities in the Pearl River Delta, specifically Guangzhou (Nansha District) and Qingyuan (Qingcheng District), an ecological protection area. A total of 369 and 365 samples were collected from Nansha and Qingcheng, respectively. Contrary to past perceptions, metal/metalloid pollution in the more developed Nansha District was less severe than in the less developed Qingcheng District. Using the positive matrix factorization (PMF) model, pollution sources were assessed. In Nansha, four sources were identified: agricultural activities (Cd from fertilizers), natural sources (Cr, Cu, Ni, Hg from weathering), transportation/industrial emissions (Pb, As, Zn), and parent material (Co, V, Mo, Sb). Qingcheng had three sources: industrial activities (As, Cd, Sb from waste), transportation emissions (Hg, Pb, Zn, Mo), and natural sources (Cr, Cu, Ni, Co, V). Nansha exhibited more complex sources yet lower ecological risk compared to Qingcheng’s medium risk. The priority pollution sources at different risk levels were identified, providing a theoretical basis for the local government to formulate and implement targeted policies to reduce environmental pollution and health risks.</p>

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A Comparative Study on Contamination Assessment and Source Determination of Typical Industrial and Ecological Zones in Guangdong Province, China

  • Song Wang,
  • Xianming Xie,
  • Jie Luo,
  • Min Cao,
  • Siyao Feng

摘要

A comparative analysis was conducted on the contamination levels and distribution of 12 metals/metalloids in soil from core cities in the Pearl River Delta, specifically Guangzhou (Nansha District) and Qingyuan (Qingcheng District), an ecological protection area. A total of 369 and 365 samples were collected from Nansha and Qingcheng, respectively. Contrary to past perceptions, metal/metalloid pollution in the more developed Nansha District was less severe than in the less developed Qingcheng District. Using the positive matrix factorization (PMF) model, pollution sources were assessed. In Nansha, four sources were identified: agricultural activities (Cd from fertilizers), natural sources (Cr, Cu, Ni, Hg from weathering), transportation/industrial emissions (Pb, As, Zn), and parent material (Co, V, Mo, Sb). Qingcheng had three sources: industrial activities (As, Cd, Sb from waste), transportation emissions (Hg, Pb, Zn, Mo), and natural sources (Cr, Cu, Ni, Co, V). Nansha exhibited more complex sources yet lower ecological risk compared to Qingcheng’s medium risk. The priority pollution sources at different risk levels were identified, providing a theoretical basis for the local government to formulate and implement targeted policies to reduce environmental pollution and health risks.