一元线性回归在化学品评分排序模式中的应用——以石油开采场地土壤污染物优先排序为例  

The Application of Simple Linear Regression to Ranking Assessment Model( SCRAM)——A Case Study of Soil Pollutants Scoring and Ranking in the Oilfield Soil

作　　者：王瑶[1] 高提雷[1] 

机构地区：[1]云南财经大学信息学院,云南昆明650221

出　　处：《四川建材》2015年第5期122-124,共3页Sichuan Building Materials

摘　　要：通过查阅数据库中可获取的生物毒性数据,与石油开采场地土壤中91种石油类污染物在多个生物类别下急性毒性、亚慢性/慢性毒性与各物质辛醇-水分配系数的一元回归方程,进而得到从数据库中暂不可获取的毒性数据。将补充后的毒性数据用于化学品评分排序模式中,弥补了由于数据缺失所导致的评分筛选结果中不确定得分对物质实际理化性质得分掩盖影响。Biological toxicity data referred to the databases were used to build the simple linear regression equation with the octanol- water partition coefficients of the 91 petroleum pollutants in the oilfield soil under different biological species. By this method,toxicity data which are not available from the databases could be obtained. And by using the complemented toxicity data in the chemical scoring and ranking assessment model,the influence of covering up by the uncertain scores caused by the data missing on the actual physicochemical properties scores in the ranking and screening results could be fixed.

关 键 词：一元线性回归 生物毒性 石油类 化学品评分排序模式 

分 类 号：X53[环境科学与工程—环境工程] N941.4[自然科学总论—系统科学]