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      • Combined application of biochar, compost, and bacterial consortia with Italian ryegrass enhanced phytoremediation of petroleum hydrocarbon contaminated soil

        Hussain, Fida,Hussain, Imran,Khan, Aqib Hassan Ali,Muhammad, Yousaf Shad,Iqbal, Mazhar,Soja, Gerhard,Reichenauer, Thomas Gerhard,Zeshan, Thomas Gerhard,Yousaf, Sohail Elsevier 2018 Environmental and experimental botany Vol.153 No.-

        <P><B>Abstract</B></P> <P>Petroleum hydrocarbons are extensively utilized in petrochemical industries and cause soil deterioration during exploration, transportation, refining and making petroleum products. We hypothesized that the combined use of compost, biochar and bacterial consortia as soil amendments may enhance the rhizoremediation potential of ryegrass by strengthening the plant rhizospheric effect for efficient total petroleum hydrocarbon removal. The present study focused on phytoremediation of hydrocarbons in spiked contaminated soil amended with biochar (5% v/v), and compost (5% v/v). Spiked soil was inoculated with consortia of four hydrocarbon degrading bacterial strains (<I>Pseudomonas poae, Actinobacter bouvetii, Stenotrophomonas rhizophila</I> and <I>Pseudomonas rhizosphaerae</I>). The spiked soil was prepared by spiking agricultural soil with 3.4% (w/w) of crude oil. Italian ryegrass (60 seeds pot<SUP>−1</SUP>) were sown and plants were harvested after 75 days.</P> <P>The highest hydrocarbon removal (85%) was observed in spiked soil amended with compost, biochar and consortia. Bacterial inoculation with biochar and compost showed significantly higher hydrocarbon degradation as compared to all other treatments. Highest TPHs degrading bacteria (5.74 × 10<SUP>7</SUP> cells g<SUP>−1</SUP> of soil) were observed in rhizosphere of spiked soil amended with compost, biochar and consortia. The organic amendments improved plant growth and bacterial count in rhizosphere which resulted in higher removal of hydrocarbons. We concluded that plant-microbe interactions together with the organic soil amendments offer an emerging trend for remediation of hydrocarbons. Rhizoremediation is a green solution to overcome the quandary of total petroleum hydrocarbon contamination in soil.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Biochar and compost amendment enhanced rhizosphere effect. </LI> <LI> TPHs Rhizoremediation is improved by bacterial consortia and organic amendments. </LI> <LI> The organic amendments improved plant growth and bacterial count in rhizosphere. </LI> <LI> Compost is a rich source of bacteria in the rhizosphere. </LI> </UL> </P>

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        Probabilistic Analysis To Analyze Uncertainty Incorporating Copula Theory

        Li Bin,Shahzad Muhammad,Munir Hafiz Mudassir,Nawaz Asif,Fahal Nabeel Abdelhadi Mohamed,Khan Muhammad Yousaf Ali,Ahmed Sheeraz 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1

        The emerging trend of distribution generation with existing power system network leads uncertainty factor. To handle this uncertainty, it is a provocation for the power system control, planning, and operation engineers. Although there are numerous techniques to model and evaluate these uncertainties, but in this paper the integration of Copula theory with Improved Latin-hypercube Sampling (ILHS) are incorporated for Probabilistic load Flow (PLF) evaluation. In probabilistic research approaches, the dominant interest is to achieve appropriate modelling of input random variables and reduce the computational burden. To address the said problem, Copula theory is applied to execute the modelling and interaction among input random variables of the active power system network. Considering the real discrete data, the ILHS is adopted. The load fl ow accessibility of the power system is carefully modeled by considering the dependence and uncertainty factors. Modifi ed IEEE 14-bus system is employed to analyze the effi ciency and performance of the proposed model using active power system network. Output power of two wind energy farms situated in New Jersey are obtained for accuracy comparison. The proposed technique shows the superiority in PLF evaluation.

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