Lanzhou University of Technology Institutional Repository （LUT_IR）
| Iron filings as PRB Media binary regression analysis of remediation of chromium-contaminated groundwater | |
| Han, Zhi Yong1; Du, Wang Bing1; Wei, Xiao Bin1; Ma, Lili2; Qu, Bo1; Bai, Lin1 | |
| 2014 | |
| 会议名称 | 2013 2nd Global Conference on Civil, Structural and Environmental Engineering, GCCSEE 2013 |
| 会议录名称 | Advanced Materials Research
 |
| 卷号 | 838-841 |
| 页码 | 2673-2676 |
| 会议日期 | September 28, 2013 - September 29, 2013 |
| 会议地点 | Shenzhen, China |
| 出版者 | Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland |
| 摘要 | Regarding the iron filing as PRB padding media, this experiment researched the repair effect of iron filing to the groundwater polluted by Cr+6 on condition that different initial concentration of Cr6+ and different flow velocity, and then with the help of the data regression analysis software SPSS, 1stOpt, Excel etc, it studied the regression analysis of Cr6+ removal rate with binary linear and binary nonlinear of the initial concentration and the flow velocity. The results indicated that: the change process of Cr6+ removal rate with initial concentration and flow velocity can adopt regression model analysis of binary linear and binary nonlinear, and in this test, the decision coefficient of the regression model of binary linear(0.825) was smaller than the decision coefficient R2 of binary nonlinear(0.955), which illustrated, comparing with the regression model of binary linear, the one of binary nonlinear z=(p1+p3*x+p5*Ln(y)+p7*x^2+p9*(Ln(y))^2+p11*x*Ln(y))/(1+p2*x+p4*Ln(y)+p6*x^2+p8*(Ln(y))^2+p10*x*Ln(y)) can simulate the change trend of Cr6+ removal rate with initial concentration and flow velocity better. © (2014) Trans Tech Publications, Switzerland. |
| 关键词 | Environmental engineering Flow velocity Groundwater Groundwater pollution Iron Mathematical models Remediation Repair Change process Change trends Excel Initial concentration Regression model Removal rate |
| DOI | 10.4028/www.scientific.net/AMR.838-841.2673 |
| 收录类别 | EI |
| 语种 | 英语 |
| EI入藏号 | 20140217181588 |
| EI主题词 | Regression analysis |
| ISSN | 10226680 |
| 来源库 | Compendex |
| 分类代码 | 921 Mathematics - 913.5 Maintenance - 631 Fluid Flow - 922.2 Mathematical Statistics - 545.1 Iron - 454 Environmental Engineering - 444.2 Groundwater - 454.2 Environmental Impact and Protection |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/117817 |
| 专题 | 兰州理工大学 |
| 作者单位 | 1.College of Petroleum, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China; 2.College of Foreign Languages and Literature, Northwest Nornal University, Lanzhou, Gansu, 730070, China |
| 第一作者单位 | 兰州理工大学 |
| 推荐引用方式 GB/T 7714 | Han, Zhi Yong,Du, Wang Bing,Wei, Xiao Bin,et al. Iron filings as PRB Media binary regression analysis of remediation of chromium-contaminated groundwater[C]:Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland,2014:2673-2676. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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