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Understanding gaseous reduction in swine manure resulting from nanoparticle treatments under anaerobic storage conditions

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Journal of Environmental Sciences 2019年第8期31卷 179-191页

作者： niloy chandra sarker Md Borhan Ann-Marie Fortuna Shafiqur Rahman Agricultural and Biosystems Engineering Department North Dakota State University USDA-ARS Grazinglands Research Laboratory

Manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(GHGs), and hydrogen sulfide(H_2 S). Application of nanoparticles(NPs) to stored manure is an emerging GHG mitigation technique. In this study, two NPs: nano zinc oxide(nZnO) and nano silver(nAg) were tested in swine manure stored under anaerobic conditions to determine their effectiveness in mitigating gaseous emissions and total gas production. The biological sources of gas production, i.e., microbial populations were characterized via Quantitative Polymerase Chain Reaction(qPCR) analysis. Additionally, pH, redox, and VFAs were determined using standard methods. Each treatment of the experiment was replicated three times and NPs were applied at a dose of 3 g/L of manure. Also, headspace gas from all treatment replicates were analyzed for CH_4 and CO_2 gas concentrations using an SRI-8610 Gas Chromatograph and H_2 S concentrations were measured using a Jerome 631 X meter. Nanoparticles tested in this study reduced the cumulative gas volume by 16%–79% compared to the control. Among the NPs tested, only nZnO consistently reduced GHG concentrations by 37%–97%. Reductions in H_2 S concentrations ranged from 87% to97%. Gaseous reductions were likely due to decreases in the activity and numbers of specific gas producing methanogenic archaea and sulfate reducing bacterial(SRB)species.

关键词： Swine manure Nanoparticles Greenhouse gas Methanogen Sulfate reducing bacteria(SRB)

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Nanoparticles in mitigating gaseous emissions from liquid dairy manure stored under anaerobic condition

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Journal of Environmental Sciences 2019年第2期31卷 26-36页

作者： niloy chandra sarker Shafiqur Rahman Md.Saidul Borhan Parthiban Rajasekaran Swadeshmukul Santra Ali Ozcan Agricultural and Biosystems Engineering North Dakota State University NanoScience Technology Center University of Central Florida Burnett School of Biomedical Sciences University of Central Florida Department of Chemistry University of Central Florida Department of Materials Science and Engineering University of Central Florida

A number of mitigation techniques exist to reduce the emissions of pollutant gases and greenhouse gases(GHGs) from anaerobic storage of livestock manure. Nanoparticle(NP)application is a promising mitigating treatment option for pollutant gases, but limited research is available on the mode of NP application and their effectiveness in gaseous emission reduction. In this study, zinc silica nanogel(ZnSNL), copper silica nanogel(CuSNL), and N-acetyl cysteine(NACL) coated zinc oxide quantum dot(Qdot) NPs were compared to a control lacking NPs. All three NPs tested significantly reduced gas production and concentrations compared to non-treated manure. Overall, cumulative gas volumes were reduced by 92.73%–95.83%, and concentrations reduced by 48.98%–99.75% for H_2S, and 20.24%–99.82% for GHGs. Thus, application of NPs is a potential treatment option for mitigating pollutant and GHG emissions from anaerobically stored manure.

关键词： Nanoparticles Greenhouse gas Hydrogen sulfide Anaerobic storage Gaseous reduction

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Numerical Analysis and Transformative Predictions of Fractional Order Epidemic Model during COVID-19 Pandemic: A Critical Study from Bangladesh

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Journal of Applied Mathematics and Physics 2021年第9期9卷 2258-2276页

作者： Ovijit Chandrow Neloy chandra Das niloy chandra Shil niloy Dey Md. Tareque Rahaman Department of Physics Shahjalal University of Science and Technology Sylhet Bangladesh Department of Mechanical Engineering Shahjalal University of Science and Technology Sylhet Bangladesh Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Textile Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh

The COVID-19 pandemic is a curse and a threat to global health, development, the economy, and peaceful society because of its massive transmission and high rates of mutation. More than 220 countries have been affected by COVID-19. The world is now facing a drastic situation because of this ongoing virus. Bangladesh is also dealing with this issue, and due to its dense population, it is particularly vulnerable to the spread of COVID-19. Recently, many non-linear systems have been proposed to solve the SIR (Susceptible, Infected, and Recovered) model for predicting Coronavirus cases. In this paper, we have discussed the fractional order SIR epidemic model of a non-fatal disease in a population of a constant size. Using the Laplace Adomian Decomposition method, we get an approximate solution to the model. To predict the dynamic transmission of COVID-19 in Bangladesh, we provide a numerical argument based on real data. We also conducted a comparative analysis among susceptible, infected, and recovered people. Furthermore, the most sensitive parameters for the Basic Reproduction Number (R0) are graphically presented, and the impact of the compartments on the transmission dynamics of the COVID-19 pandemic is thoroughly investigated.

关键词： COVID-19 Bangladesh Fractional Order SIR Model Laplace Adomian Decomposition Method BRN

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