Prediction of carbon BTEX adsorption capacity using field monitoring data

被引：0
|
作者：
Giffin, Steve D. [1 ]
Davis, Allen P. [2 ]
机构：
[1] Envir. Engr., 814 Chester Ave., Annapolis, MD 21403, United States
[2] Envir. Engrg. Program, Dept. of Civ. Engrg., Univ. of Maryland, College Park, MD, United States
来源：
Journal of Environmental Engineering | 1998年 / 124卷 / 10期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：921 / 931
相关论文
共 50 条
  • [21] Surface modification of carbon nanotubes for enhancing BTEX adsorption from aqueous solutions
    Lu, Chungsying
    Su, Fengsheng
    Hu, Suhkai
    APPLIED SURFACE SCIENCE, 2008, 254 (21) : 7035 - 7041
  • [22] Transformer Thermal Capacity Estimation and Prediction Using Dynamic Rating Monitoring
    Alvarez, David L.
    Rivera, Sergio R.
    Mombello, Enrique E.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2019, 34 (04) : 1695 - 1705
  • [23] PREDICTION OF MULTICOMPONENT ADSORPTION EQUILIBRIUM DATA USING EMPIRICAL CORRELATIONS
    MCKAY, G
    ALDURI, B
    CHEMICAL ENGINEERING JOURNAL AND THE BIOCHEMICAL ENGINEERING JOURNAL, 1989, 41 (01): : 9 - 23
  • [24] RESIDUAL ADSORPTION CAPACITY OF CARBON BEDS
    JONAS, LA
    SANSONE, EB
    CARBON, 1984, 22 (01) : 1 - 3
  • [25] RESIDUAL ADSORPTION CAPACITY OF CARBON BEDS
    JONES, LA
    SANSONE, EB
    CARBON, 1984, 22 (02) : 221 - 221
  • [26] Stochastic Prediction of Road Network Degradation Based on Field Monitoring Data
    Tran, Huu
    Robert, Dilan
    Gunarathna, Prageeth
    Setunge, Sujeeva
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2023, 149 (10)
  • [27] COMPARISON OF FIELD AND LABORATORY H2S ADSORPTION CAPACITY OF ACTIVATED CARBON
    KOE, LCC
    TAN, NC
    WATER AIR AND SOIL POLLUTION, 1990, 50 (1-2): : 193 - 203
  • [28] An exploratory study using QICAR models for prediction of adsorption capacity of multi-walled carbon nanotubes for heavy metal ions
    Salahinejad, M.
    Zolfonoun, E.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2018, 29 (12) : 997 - 1009
  • [29] Analysis and correction of field fluctuations in fMRI data using field monitoring
    Bollmann, Saskia
    Kasper, Lars
    Vannesjo, S. Johanna
    Diaconescu, Andreea O.
    Dietrich, Benjamin E.
    Gross, Simon
    Stephan, Klaas E.
    Pruessmann, Klaas P.
    NEUROIMAGE, 2017, 154 : 92 - 105
  • [30] A quantitative prediction model for the phosphate adsorption capacity of carbon materials based on pore size distribution
    Chen, Fang-Fang
    Li, Hao-Fei
    Jia, Xue-Ru
    Wang, Zhao-Yu
    Qin, Yu-Ying
    Liang, Xuan
    Chen, Wen-Qing
    Ao, Tian-Qi
    ELECTROCHIMICA ACTA, 2020, 331
12345