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3篇 您的检索式:作者名="Adnan Altaf"
    题名 作者 年代 出处 被引量
1Elemental mercury (Hg^(0)) removal from coal syngas using magnetic tea-biochar: Experimental and theoretical insights显示文摘Mercury is ranked 3^(rd)as a global pollutant because of its long persistence in the environment. Approximately 65% of its anthropogenic emission (Hg^(0)) to the atmosphere is from coal-thermal power plants. Thus, the Hg^(0)emission control from coal-thermal power plants is inevitable. Therefore, multiple sorbent materials were synthesized using a one-step pyrolysis method to capture the Hg^(0)from simulated coal syngas. Results showed, the Hg^(0)removal performance of the sorbents increased by the citric acid/ultrasonic application.T5CUF_(0.3)demonstrated the highest Hg^(0)capturing performance with an adsorption capacity of 106.81 μg/g within 60 min at 200 °C under complex simulated syngas mixture (20% CO,20% H_(2), 10 ppm V HCl, 6% H_(2)O, and 400 ppm V H_(2)S). The Hg^(0)removal mechanism was proposed, revealing that the chemisorption governs the Hg^(0)removal process. Besides, the active Hg^(0)removal performance is attributed to the high dispersion of valence Fe_(3)O_(4)and lattice oxygen (α) contents over the T5CUF_(0.3)surface. In addition, the temperature programmed desorption (TPD) and XPS analysis confirmed that H_(2)S/HCl gases generate active sites over the sorbent surface, facilitating high Hg^(0)adsorption from syngas. This work represented a facile and practical pathway for utilizing cheap and eco-friendly tea waste to control the Hg^(0)emission.Adnan Raza Altaf Yusuf GAdewuyi Haipeng Teng Gang Liu Fazeel Abid 2022Journal of Environmental Sciences2022,34,12:2
2A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy显示文摘In 2019,the newly emerged SARS-CoV-2 virus caused pneumonia-like illness.The disease rapidly spread globally,leading to a worldwide outbreak referred to as the COVID-19 pandemic.Tahir Yaqub Muhammad Nawaz Muhammad Z.Shabbir Muhammad A.Ali Imran Altaf Sohail Raza Muhammad A.B.Shabbir Muhammad A.Ashraf Syed Z.Aziz Sohai l Q.Cheema Muhammad B.Shah Saira Rafique Sohail Hassan Nageen Sardar Adnan Mehmood Muhammad W.Aziz Sehar Fazal Nadir Hussain Muhammad T.Khan Muhammad M.Atique Ali Asif Muhammad Anwar Nabeel A.Awan Muhammad U.Younis Muhammad A.Bhattee Zarfishan Tahir Nadia Mukhtar Huda Sarwar Maaz S.Rana Omair Farooq 2021Biomedical and Environmental Sciences2021,34,9:0
3Indoor smart farming by inducing artificial climate for high value-added crops in optimal duration显示文摘The global population is increasing rapidly as compared to food production;approximately three times more food would be required in 2050.Climate change affects crop production by causing sudden changes in weather conditions,including rain,storms,heat waves,doughiness,and water shortages.Farming with smart technology provides a productive solution.Smart farming is a productive solution that provides a great resource of income and improves the countries’economy by exporting consumable goods and preventing food security problems.Smart agriculture provides a combination of flexibility,remote access,and automation through the use of intelligent control technologies.Many countries are working towards smart and intelligent agriculture farming that analyzes crop,soil fertility,pests and weeds,and other problems caused by mismanagement and incompetence.However,smart agricultural farming is less widely adopted in agriculture as a result of high costs and little understanding of technology.In this study,An artificial climate control chamber(ACCC)was designed for cultivating plants by controlling the optimal parameters,especially the light spectrum.In ACCC,influential plant factors such as light,moisture,humidity,and fertilizer concentration have been controlled intelligently.Light spectrum was controlled by time periods in the previous system,while in the system proposed in this study,the light was controlled by image processing.In an artificial control chamber,the plant growth stages have been determined through image processing techniques.Datasets of image images have been used to organize specific intensities of the light spectrum.This intelligent system provides aid in the speed breeding procedure through variant spectrums of light and fertilizers combinations.In the research study,the yield and quality of intelligent farming are enhanced.Attique ur Rehman Abdul Razzaq Adnan Altaf Salman Qadri Aamir Hussain Ali Nawaz Khan Tausif-ur-Rehman Zaid Sarfraz 2023International Journal of Agricultural and Biological Engineering2023,16,3:0
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