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An empirical correlation to estimate the bioventing degradation rate constant.

机译:估算生物排放降解速率常数的经验相关性。

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摘要

Bioventing is an efficient bioremediation technology for the clean-up of petroleum hydrocarbon contaminated soil. The design and implementation of a successful bioventing strategy for petroleum contaminated sites require accurate knowledge of the biodegradation rate. However, estimating the biodegradation rate is difficult as the rate constant varies from site to site due to changing site conditions, including soil type, biological activity and type of contaminants. Accordingly, bench scale biodegradation studies were completed using respirometers to measure first order biodegradation rate constants for gasoline in several soils over 30 days of incubation.A total of seven soils were tested at various gasoline concentrations with constant nutrient ratios and optimal water content. No microbial inhibition was observed for the range of gasoline concentrations studied. Analysis showed that the statistically significant parameters were the initial population of petroleum degrading microorganisms and the organic matter content. The developed empirical correlation is a simple tool that practitioners can use to estimate the biodegradation rate without conducting lengthy and expensive experiments. The information can be used to determine feasibility and cost of bioventing for a contaminated site as a remediation alternative.
机译:生物通风是一种有效的生物修复技术,用于净化石油烃污染的土壤。设计和实施成功的石油污染场所生物排放策略需要对生物降解速度有准确的了解。但是,由于速率常数因场地条件(包括土壤类型,生物活性和污染物类型)的变化而因场地而异,因此难以估计生物降解速度。因此,使用呼吸计完成了台式规模的生物降解研究,以在孵化30天后测量几种土壤中汽油的一阶生物降解速率常数。在不同的汽油浓度下,以恒定的养分比和最佳含水量对总共7种土壤进行了测试。对于所研究的汽油浓度范围,未观察到微生物抑制作用。分析表明,具有统计学意义的参数是石油降解微生物的初始种群和有机物含量。发达的经验相关性是从业人员可以用来估计生物降解速率的简单工具,而无需进行冗长而昂贵的实验。该信息可用于确定对污染场地进行补救的可行性和成本。

著录项

  • 作者

    Jedari Eyvazi, Maryam.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Environmental Sciences.Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 196 p.
  • 总页数 196
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:50

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