title: [Source identification of toxic wastewaters in a petrochemical industrial park].
abstract: Petrochemical wastewaters have toxic impacts on the microorganisms in biotreatment processes, which are prone to cause deterioration of effluent quality of the wastewater treatment plants. In this study, the inhibition effects of activated sludge's oxygen consumption were tested to evaluate the toxicity of production wastewaters in a petrochemical industrial park. The evaluation covered the wastewaters from not only different production units in the park, but also different production nodes in each unit. No direct correlation was observed between the toxicity effects and the organic contents, suggesting that the toxic properties of the effluents could not be predicted by the organic contents. In view of the variation of activated sludge sensitivity among different tests, the toxicity data were standardized according to the concentration-effect relationships of the standard toxic substance 3, 5-dichlorophenol on each day, in order to improve the comparability among the toxicity data. Furthermore, the Quality Emission Load (QEL) of corresponding standard toxic substance was calculated by multiplying the corresponding 3, 5-dichlorophenol concentration and the wastewater flow quantity, to indicate the toxicity emission contribution of each wastewater to the wastewater treatment plant. According to the rank list of the toxicity contribution of wastewater from different units and nodes, the sources of toxic wastewater in the petrochemical industrial park were clearly identified. This study provides effective guidance for source control of wastewater toxicity in the large industrial park.
authors.forename: Qian
authors.initials: Q
authors.lastname: Yang
authors.forename: Yin
authors.initials: Y
authors.lastname: Yu
authors.forename: Yue-Xi
authors.initials: YX
authors.lastname: Zhou
authors.forename: Xue-Min
authors.initials: XM
authors.lastname: Chen
authors.forename: Xiao-Yong
authors.initials: XY
authors.lastname: Fu
authors.forename: Miao
authors.initials: M
authors.lastname: Wang
mesh_terms: D002733:Chlorophenols / Q000032:analysis; D019652:Extraction and Processing Industry; D007220:Industrial Waste / Q000032:analysis*; D012722:Sewage / Q000032:analysis*; D062065:Wastewater / Q000032:analysis*
chemical_list: D002733:Chlorophenols; D007220:Industrial Waste; D012722:Sewage; D062065:Wastewater; C116190:3,5-dichlorophenol