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http://dx.doi.org/10.7857/JSGE.2016.21.1.094

Identification of Optimal Operation Factors for Landfarming using Response Surface Methodology  

Kwon, Ipsae (Department of Civil and Environmental Engineering, Hanyang University)
Lee, Hanuk (Department of Civil and Environmental Engineering, Hanyang University)
Kim, Jin-Hwan (Department of Civil and Environmental Engineering, Hanyang University)
Park, Jae-Woo (Department of Civil and Environmental Engineering, Hanyang University)
Publication Information
Journal of Soil and Groundwater Environment / v.21, no.1, 2016 , pp. 94-103 More about this Journal
Abstract
Landfarming that supplies aerobic biodegradation condition to indigenous microbes in soils is a biological remediation technology. In this research, volatilization and biodegradation rate by indigenous microbes in the soil contaminated with total petroleum hydrocarbons (TPH) were measured. Soils were contaminated with diesel artificially and divided into two parts. One was sterilized by autoclave to remove indigenous microorganism and the other was used as it was. Various moisture contents and number of tillings were applied to the soil to find out proper condition to minimize volatilization and enhance bioremediation. Volatilization of TPH was inhibited and biodegradation was enhanced by increase on moisture content. Tilling was usually used to supply air for microbes, but tillings did not affect the growth of microbes in our study. Enough moisture content and proper aeration are important to control volatilization in landfarming. Also, TPH degradation was a function of the microbe counts (x1), numbers of tilling (x2), and moisture content (x3) from the application of the response surface methodology. Statistical results showed the order of significance of the independent variables to be microbe counts > numbers of tilling > moisture content.
Keywords
Land farming; Microbe; Moisture content; Tilling; Response surface methodology;
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Times Cited By KSCI : 5  (Citation Analysis)
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