Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, College of Water Sciences, Beijing Normal University, Beijing 100875, China.
Ecotoxicol Environ Saf. 2013 Feb;88:148-54. doi: 10.1016/j.ecoenv.2012.11.007. Epub 2012 Dec 1.
To minimize the selection uncertainties of source profiles and obtain the higher model performance, an extended fit measurement mode for chemical mass balance model (EFMM-CMB) was proposed and applied to estimate source contributions for sediment PAHs from the Daliao River around which is the important industrial bases with oil, chemical and steel factories in the northeast part of China. Based on least squares fitting method, EFMM-CMB initially calculated the fit measurement index to every one of the possible combinations that can be made from the source profiles. Any successful applications of the fitting method were ranked according to performance measures, and then determined by maximizing an overall fitting index for a unique solution. Apportionment results from two case scenarios showed that the values of performance measures for EFMM-CMB were better to that for CMB8.2 results. With species selection of high molecular weight PAHs, power plant (45.75%), biomass burning (29.34%) and traffic tunnel (10.59%) were identified as the major sources of sediment PAHs from the Daliao River region.
为了最小化源谱选择的不确定性并获得更高的模型性能，提出了一种扩展的化学质量平衡模型拟合测量模式（EFMM-CMB），并将其应用于估算中国东北部大辽河流域沉积物多环芳烃的源贡献，该地区周围是石油、化工和钢铁厂等重要工业基地。基于最小二乘法拟合方法，EFMM-CMB 最初计算了每个可能组合的拟合测量指标，这些组合可以由源谱组成。根据性能指标对任何成功的拟合方法进行排名，然后通过最大化整体拟合指标来确定唯一解。两种情况下的分配结果表明，EFMM-CMB 的性能指标值优于 CMB8.2 的结果。通过选择高分子量多环芳烃，确定了大辽河流域沉积物多环芳烃的主要来源为火电厂（45.75%）、生物质燃烧（29.34%）和交通隧道（10.59%）。
