Sensitivity of input variables in source apportionment of soil heavy metal base on PMF model
WU Jin1, TENG Yan-guo2, LI Jiao3, CHEN Hai-yang2
1. College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China;
2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;
3. Chinese Research Academy of Environmental Sciences, Beijing 100012, China
To explore the impacts of variables on receptor model results in source apportionment for soil pollutants, the sampling data set of soil heavy metals in the middle and upper reaches of Le'an River was used as the input data set for the typical receptor model (PMF model). After obtaining the results of basic scenarios by PMF model, local sensitivity analysis method was introduced to study the sensitivity of variables on PMF diagnosis and source identification. The six-factor scenario was the best result for the simulation of PMF base model, Cu、Mo、Na2O、As、Mn and Cd in the soil were the sensitive variables and also the main loading elements in each factor profile (i.e. the typical pollutants of each source). There was a significant difference on the sensitivity for these variables:the total sensitivity of Cu and Mo are much higher than that of the other variables, reaching 12.1 and 8.2 respectively. Therefore, it revealed that the sensitive variables should be the specific pollutants when applying the receptor model for source apportionment, and the data quality was an important factors affecting of the reliability of source apportionment.
吴劲, 滕彦国, 李娇, 陈海洋. 基于PMF模型的土壤重金属源解析中变量敏感性研究[J]. 中国环境科学, 2019, 39(7): 2960-2969.
WU Jin, TENG Yan-guo, LI Jiao, CHEN Hai-yang. Sensitivity of input variables in source apportionment of soil heavy metal base on PMF model. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(7): 2960-2969.
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