首页> 外文期刊>Journal of Engineering Research >Optimization and Interactive Effects of Salinity, Fertilizer and Inoculums Concentration on Biodegradation in Marine Environment
【24h】

Optimization and Interactive Effects of Salinity, Fertilizer and Inoculums Concentration on Biodegradation in Marine Environment

机译:盐度,肥料和接种物浓度对海洋环境中生物降解的优化及其相互作用

获取原文
           

摘要

With the speeding up of the exploitation and shipments of petroleum, the oil spill or off-shore oil production all over the world have dramatically?increased. Bioremediation has been recognized as a cost-effective and environment-friendly approach for cleanup of the petroleum pollutants from marine environment. Though some studies have reported the effect of every factor for the biodegradation, there are few reports on the interactive and cumulative effect of environment factors on biodegradation. In the paper, interactive effects of salinity, fertilizer and inoculums concentrations on biodegradation were studied by response surface methodology, in order to provide better theoretical basis for use the biodegradation in the marine environment. The results indicated that there was the good agreement between the predicted values and the experimental values. Further analyzing the variance (ANOVA),?the value of determination?coefficient (R 2 =0.9831) indicated that the total variations?for the model was negligible. And, the second-order polynomial equation was defined. Additionally, residual normal, predicted value vs. actual value, residual value vs. predicted value were also analyzed and the results?were shown that the model was effective.?Lastly, according to the interactive effects of three factors and p-values, the factors were in several groups by descending order: salinity > inoculums concentration ?≈ nitrogen and phosphorus ratio.
机译:随着石油的开采和运输的加速,全世界的石油泄漏或近海石油生产急剧增加。生物修复已被公认为是一种从海洋环境中清除石油污染物的经济高效且环境友好的方法。尽管一些研究报告了各种因素对生物降解的影响,但是关于环境因素对生物降解的相互作用和累积效应的报道很少。本文通过响应面法研究了盐分,肥料和接种物浓度对生物降解的交互作用,为在海洋环境中进行生物降解提供更好的理论依据。结果表明,预测值与实验值吻合良好。进一步分析方差(ANOVA),确定值的系数(R 2 = 0.9831)表明模型的总变化可以忽略不计。并且,定义了二阶多项式方程。此外,还分析了残差正常值,预测值与实际值,残差值与预测值之间的关系,结果表明该模型是有效的。最后,根据三个因素和p值的交互作用,影响因素按降序分为几类:盐度>接种物浓度≤≈氮磷比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号