Journal
ENVIRONMENT INTERNATIONAL
Volume 147, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2020.106315
Keywords
Environmental risk; Heavy metal; Spatial heterogeneity; Industrial layout; Risk factor interaction; Factor condition
Categories
Funding
- GDAS' Project of Science and Technology Development [2020GDASYL20200104020, 2020GDASYL-20200104017, 2018GDASCX0106]
- Natural Science Foundation of China [41877514]
- Guangdong Outstanding Youth Foundation [2020B1515020020]
- Research on Migration/Transformation and Safety Threshold of Heavy Metals in Farmland Systems [2016YFD0800400]
- Guangdong Foundation for Program of Science and Technology Research [2019B121205006]
- Fundamental Research Funds for the Central University, Lanzhou University [18LZUJBWYJ025]
- Outstanding Young Talent for the National Ten Thousand Talents Program
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Industrialization and urbanization have heightened the risk of heavy metal(loid)s, leading to environmental hazards. Regional environmental risk assessment should consider spatial heterogeneity and risk factor interaction. The running time of the industry is a crucial risk factor, with adjustments to industrial structure and control of running time being effective in mitigating environmental risks.
Industrialization and urbanization have increased the risk of heavy metal(loid)s coming from a wide range of pathways and processes. Regional environmental risk assessment mainly focuses on the regional functional layout, industrial orientation, and enterprise location. These aspects may generate immense environmental risks and hazards. However, many gaps in regional environmental risk assessment remain, particularly concerning the spatial heterogeneity of environmental processes and mechanisms affected by the industrial layout. Most of the risk estimation often neglected the risk factor interaction. Here, we developed a framework to estimate the environmental risk of heavy metal(loid)s focusing on the spatial heterogeneity of the industrial layout. This framework was operationalized by performing an integrated risk detection of heavy metal(loid)s, spatial heterogeneity identification of the industrial layout, the power of risk factors and factor interaction examination, risk factor condition quantification and key risk source apportionment. Shaoguan city, one of six trial zones for China's pollution prevention and control of heavy metal(loid)s, was taken as a case study. Among all of the natural and socioeconomic factors, the running time of the industry was the most important risk factor of the Cd, As and Pb in soil and rice in all subregions. These subregions were divided based on the spatial heterogeneity of the industrial layout. The threshold of the running time of the industry for soil Cd was 11.97 years. The power of other dominant risk factors was different in different subregions, and the joint risk of the dominant risk factors was larger than the single risk of the running time of the industry. Our results suggest that the environmental risk of heavy metal(loid)s in Shaoguan could be mitigated by adjusting the industrial structure and controlling the running time of enterprises. Our study also indicates that estimating the regional environmental risk of heavy metal(loid)s focusing on the spatial heterogeneity of the industrial layout can help define specific strategies to achieve environmentally friendly industrial development.
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