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A review of electrokinetically enhanced bioremediation technologies for PHs

Journal of Environmental Sciences 2020年第2期32卷 31-45页

作者： anish saini Dawit Nega Bekele Sreenivasulu Chadalavada Cheng Fang Ravi Naidu Global Centre for Environmental Remediation University of NewcastleCallaghanNewcastle 2308NSWAustralia Cooperative Research Centre for Contamination Assessment and Remediation of the Environment(CRC CARE) University of NewcastleCallaghanNewcastle 2308NSWAustralia

Since the early 1980’s there have been several different strategies designed and applied to the remediation of subsurface environment including physical, chemical and biological *** have had varying degrees of success in remediating contaminants from subsurface soils and *** objective of this review is to examine the range of technologies for the remediation of contaminants, particularly petroleum hydrocarbons, in subsurfaces with a specific focus on bioremediation and electrokinetic ***, this review examines the efficiency of remediation carried out by combining bioremediation and electrokinetic ***, which are slowly becoming the selected chemicals for mobilizing contaminants, are also considered in this *** current knowledge gaps of these technologies and techniques identified which could lead to development of more efficient ways of utilizing these technologies or development of a completely new technology.

关键词： Subsurface contamination Remediation Petroleum hydrocarbons (PH) Electrokinetics Bioremediation

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Comparative morphometrics of two populations of giant river catfish (Mystus seenghala) from the Indus river system

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Integrative Zoology 2008年第3期3卷 219-226页

作者： Archana saini anish DUA Vindhya MOHINDRA Department of Zoology Guru Nanak Dev UniversityAmritsarIndia Genetic Characterization Division National Bureau of Fish Genetic ResourcesLucknowIndia

Giant river catfish (Mystus seenghala) from the Beas river were compared with a population in the Sutlej river of theIndus river system using 28 morphometric characters. Discriminant analyses and a univariate ANOVA were used toexplore these data. Allometric transformation of each measurement was done to eliminate correlations with size. Thestepwise discriminant analysis retained nine variables that significantly discriminated the Beas samples from theSutlej samples. Using these variables, 91.2% (original) and 89.0% (cross validated) of fish were classified into theircorrect samples. Misclassification was higher for the Sutlej samples (12.5%) than for the Beas samples (6.3%). Theresults of the discriminant analyses showed that variability in the Beas samples was more homogeneous andprovided a more characteristic picture of the group than the Sutlej samples. The univariate ANOVA revealed significantdifferences between the means of the two populations for 12 of the 28 transformed morphometric measurements.

关键词： Beas India morphometry Mystus seenghala stock identification

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