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化纤厂PTA废水处理污泥生物减量效果及影响因子
引用本文:沈悦,胡修韧,田甘沛,边博.化纤厂PTA废水处理污泥生物减量效果及影响因子[J].中国环境科学,2020,40(5):2140-2147.
作者姓名:沈悦  胡修韧  田甘沛  边博
作者单位:南京师范大学环境学院, 江苏 南京 210046
基金项目:水体污染控制与治理科技重大专项(2017ZX07202-004);江苏省科技支撑社会发展项目(BE2017631)
摘    要:通过小试试验研究PTA废水处理污泥生物减量效果及影响因子,结果表明,一次性进料、设备温度60℃、菌剂占污泥干基比例4%,可实现污泥含水率、干物质和毒性物质(钴)分别减少79%、22%和9%的最佳减量效果.基于污泥生物减量过程中多参数、三维荧光和微生物属水平变化并结合相关和主成分分析,探明了影响PTA污泥生物减量的关键因子分别为温度、电导率、胡富比、碳氮比、溶解性有机碳和8种微生物菌属(即为Gemmatimonas、Pelotomaculum、Azohydromonas、Pseudomonas、Paeniglutamicibacter、Weissella、Nitrospira、Novosphingobium).研究结果可为化纤厂PTA污泥生物减量提供科学依据.

关 键 词:PTA污泥  生物减量  减量效果  影响因子  
收稿时间:2019-10-14

Study on bio-reduction effect and influenceingfactors of PTA sewage sludge in chemical fiber plant
SHEN Yue,HU Xiu-ren,TIAN Gan-pei,BIAN Bo.Study on bio-reduction effect and influenceingfactors of PTA sewage sludge in chemical fiber plant[J].China Environmental Science,2020,40(5):2140-2147.
Authors:SHEN Yue  HU Xiu-ren  TIAN Gan-pei  BIAN Bo
Institution:School of Environment, Nanjing Normal University, Nanjing 210046, China
Abstract:In this study, microbial reduction method was used to determine the optimal reduction effect. The results showed that under the condition of one-time feeding, equipment temperature controlled at 60℃ and the dosage of microbial agent accounted for 4% of the dry weight of sludge, the optimal reduction effect was:the water, dry matter and toxic substances (i.e. Co) reduction rate reached 79.4%, 22%, and 9%, respectivity. Based on correlation analysis and principal component analysis, temperature, electrical conductivity, humic/fulvic acid ratio, carbon/nitrogen ratio and dissolved organic carbon, as well as 8genera (i.e. Novosphingobium, Nitrospira, Azohydromonas, Gemmatimonas, Pseudomonas, Pelotomaculum, Paeniglutamicibacter and Weissella) were determined as the key factors affecting the bio-reduction effect. The research results provide a scientific basis for the bio-reduction ofPTA sewage sludge in chemical fiber plants.
Keywords:PTA sludge  biological reduction  reduction effect  influencing factors  
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