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  • Open Access

    ARTICLE

    Assessment of Particle Matter Pollution during Post-Earthquake Debris Removal in Adiyaman City

    Ercan Vural*

    Revue Internationale de Géomatique, Vol.33, pp. 37-50, 2024, DOI:10.32604/rig.2024.047908 - 29 March 2024

    Abstract Severe earthquakes in the world and in Turkey can cause great loss of life and property, environmental problems and health problems. In addition to the loss of life and property, earthquakes are closely related to ecosystems, air, water, and soil pollution. Particularly in post-earthquake debris removal, very large amounts of particulate matter are released and may have negative effects on the health of the local population. This study aimed to detect two types of particle matter pollution during debris removal in 25 different locations in Adiyaman City using a CEM DT 9880 particle matter measuring… More >

  • Open Access

    ARTICLE

    Pollution Dispersion in Urban Street Canyons with Green Belts

    Xiaoxuan Zhu1, Xueyan Wang2, Li Lei1,*, Yuting Zhao1

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 661-679, 2022, DOI:10.32604/cmes.2022.020427 - 15 June 2022

    Abstract In this study, numerical simulations were used to explore the effects of roadside green belt, urban street spatial layout, and wind speed on vehicle exhaust emission diffusion in street canyon. The diffusion of different sized particles in the street canyon and the influence of wind speed were investigated. The individual daily average pollutant intake was used to evaluate the exposure level in a street canyon microenvironment. The central and leeward green belts of the road were the most conducive to the diffusion of pollutants, while the positioning of the green belts both sides of a More >

  • Open Access

    ARTICLE

    Effect of Varying Temperature and Oxygen on Particulate Matter Formation in Oxy-Biomass Combustion

    Chen Wang1, Cicilia Kemunto Mesa2,*, Samuel Bimenyimana1,3, Nathan Bogonko2, George Adwek4, Yiyi Mo1, Godwin Norense Osarumwense Asemota5,6, Changfu Yuan7, Yaowen Chen7, Changtai Li8, Etienne Ntagwirumugara9, Aphrodis Nduwamungu5

    Energy Engineering, Vol.119, No.3, pp. 863-881, 2022, DOI:10.32604/ee.2022.019248 - 31 March 2022

    Abstract Offsetting particulate matter emissions has become a critical global aim as there are concerted efforts to deal with environmental and energy poverty challenges. This study consists of investigations of computing emissions of particulate matter from biomass fuels in various atmospheres and temperatures. The laboratory setup included a fixed bed electric reactor and a particulate matter (PM) measuring machine interfaced with the flue gas from the fixed bed reactor combustion chamber. The experiments were conducted at seven different temperatures (600°C–1200°C) and six incremental oxygen concentrations (21%–100%). Five biomass types were studied; A-cornstalk, B-wood, C-wheat straw, D-Rice… More > Graphic Abstract

    Effect of Varying Temperature and Oxygen on Particulate Matter Formation in Oxy-Biomass Combustion

  • Open Access

    ARTICLE

    A Deep Two-State Gated Recurrent Unit for Particulate Matter (PM2.5) Concentration Forecasting

    Muhammad Zulqarnain1, Rozaida Ghazali1,*, Habib Shah2, Lokman Hakim Ismail1, Abdullah Alsheddy3, Maqsood Mahmud4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3051-3068, 2022, DOI:10.32604/cmc.2022.021629 - 07 December 2021

    Abstract Air pollution is a significant problem in modern societies since it has a serious impact on human health and the environment. Particulate Matter (PM2.5) is a type of air pollution that contains of interrupted elements with a diameter less than or equal to 2.5 m. For risk assessment and epidemiological investigations, a better knowledge of the spatiotemporal variation of PM2.5 concentration in a constant space-time area is essential. Conventional spatiotemporal interpolation approaches commonly relying on robust presumption by limiting interpolation algorithms to those with explicit and basic mathematical expression, ignoring a plethora of hidden but crucial… More >

  • Open Access

    ARTICLE

    Field Studies on the Removal Characteristics of Particulate Matter and SOx in Ultra-Low Emission Coal-Fired Power Plant

    Xu Zhao, Houzhang Tan, Fuxin Yang*, Shuanghui Deng

    Energy Engineering, Vol.119, No.1, pp. 49-62, 2022, DOI:10.32604/EE.2022.015622 - 22 November 2021

    Abstract In order to reduce the environmental smog caused by coal combustion, air pollution control devices have been widely used in coal-fired power plants, especially of wet flue gas desulfurization (WFGD) and wet electrostatic precipitator (WESP). In this work, particulate matter with aerodynamic diameter less than 10 μm (PM10) and sulfur oxides (SOx) have been studied in a coal-fired power plant. The plant is equipped with selective catalytic reduction, electrostatic precipitator, WFGD, WESP. The results show that the PM10 removal efficiencies in WFGD and WESP are 54.34% and 50.39%, respectively, and the overall removal efficiency is 77.35%. WFGD… More >

  • Open Access

    ARTICLE

    Development of Advanced Biomass Cookstove and Performance Comparisons Using the Modified Star Rating Methodology

    Himanshu1, Kunwar Pal2, Sanjeev Jain3, S. K. Tyagi1,*

    Energy Engineering, Vol.118, No.5, pp. 1237-1251, 2021, DOI:10.32604/EE.2021.016489 - 16 July 2021

    Abstract A disruptive approach to a fundamental process has been applied in a biomass combustion device with two variable speed fans to supply air for gasification and another for combustion processes, separately. Besides, the preheating of secondary air, required for combustion process was also ensured through annulus chamber before being fed into the combustion chamber. The turbulent flow and homogenous mixing were also ensured by controlling the flow rate resulting in the reduced emissions of carbon monoxide (CO) and fine particulate matter (PM 2.5, particulate matter having aerodynamic diameter <2.5 micron). The design approach applied here… More >

  • Open Access

    ARTICLE

    Impacts of Torrefaction on PM10 Emissions from Biomass Combustion

    Zihao Wang, Dunxi Yu*, Jingkun Han, Jianqun Wu

    Energy Engineering, Vol.118, No.5, pp. 1267-1276, 2021, DOI:10.32604/EE.2021.016107 - 16 July 2021

    Abstract Typical biomass torrefaction is a mild pyrolysis process under conditions of ordinary pressure, low temperature (200–300°C) and inert atmosphere. Torrefaction is considered to be a competitive technology for biomass pretreatment, but its impacts on the emissions of particulate matter from biomass combustion are worthy of further study. In this paper, three kinds of biomass, i.e., bagasse, wheat straw and sawdust were selected for torrefaction pretreatment and the impacts of torrefaction on the emission characteristics of PM10 from biomass combustion were investigated. The combustion experiments were carried out on a drop tube furnace. The combustion-generated particulate and… More >

  • Open Access

    ARTICLE

    Study of Spectral Response Characteristics of Oilseed Rape (Brassica napus) to Particulate Matters Based on Hyper-Spectral Technique

    Lijuan Kong1,2, Haiye Yu1,2, Zhaojia Piao1,2, Meichen Chen1,2, Jingmin Dang1, Lei Zhang1,2, Yuanyuan Sui1,2,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 1015-1030, 2021, DOI:10.32604/phyton.2021.014190 - 30 March 2021

    Abstract Haze is mainly caused by the suspended particulate matters in the air, of which the particulate matters pollution harms leaf vegetables. In this paper, oilseed rapes at four different growing periods were investigated in a simulated particulate pollution environment. In combination of hyper-spectral technology and micro examination, the response of hyper-spectral characteristics of the leaf to particulate matters was investigated in-depth. The hyperspectral, chlorophyll content, net photosynthetic rate and stomatal conductance of leaf were obtained. The deposition and adsorption of particulate matters on the leaf were observed by Environmental Scanning Electron Microscope (ESEM). Normalized difference… More >

  • Open Access

    ARTICLE

    COVID19: Forecasting Air Quality Index and Particulate Matter (PM2.5)

    R. Mangayarkarasi1, C. Vanmathi1,*, Mohammad Zubair Khan2, Abdulfattah Noorwali3, Rachit Jain4, Priyansh Agarwal4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3363-3380, 2021, DOI:10.32604/cmc.2021.014991 - 01 March 2021

    Abstract Urbanization affects the quality of the air, which has drastically degraded in the past decades. Air quality level is determined by measures of several air pollutant concentrations. To create awareness among people, an automation system that forecasts the quality is needed. The COVID-19 pandemic and the restrictions it has imposed on anthropogenic activities have resulted in a drop in air pollution in various cities in India. The overall air quality index (AQI) at any particular time is given as the maximum band for any pollutant. PM2.5 is a fine particulate matter of a size less… More >

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