The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Mary Josephine Paula Pilat - One of the best experts on this subject based on the ideXlab platform.
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Plume opacity related to particle Mass Concentration and size distribution
Atmospheric Environment, 2003Co-Authors: John F. Thielke, Mary Josephine Paula PilatAbstract:Abstract Simultaneous measurements of the in-stack light transmittance, particle Mass Concentration and particle size distribution were conducted on a hogged fuel boiler, a Kraft recovery furnace and a pulverized coal-fired boiler. The experimental data were utilized to evaluate a technique for predicting paniculate Mass Concentration based on the particle characteristics. The predicted relationship between in-stack transmittance and particulate Mass Concentration was in good agreement with the experimental measurements for the hogged fuel boiler and the pulverized coal-fired boiler. The discrepancy noted in the predicted relationship for the Kraft recovery furnace may have been caused by measurement problems associated with low particulate Mass Concentrations or uncertainties in a value for the average particle density. An approach is presented for estimating the transmittance across a given light path based on the ratio of the specific volume to light extinction coefficient for monodisperse particle size increments. Figures are provided for determining this ratio for a wide range of particle sizes and refractive indices. The results of this study indicate the importance of using the actual particle size distribution for predicting the relationship between transmittance and Mass Concentration. An example problem is presented to illustrate the application of the calculation technique.
Jugal Agarwal - One of the best experts on this subject based on the ideXlab platform.
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a novel optical instrument for estimating size segregated aerosol Mass Concentration in real time
Aerosol Science and Technology, 2009Co-Authors: Xiaoliang Wang, George John Chancellor, James Evenstad, James E Farnsworth, Anthony Hase, Gregory Olson, Avula Sreenath, Jugal AgarwalAbstract:A novel optical instrument has been developed that estimates size segregated aerosol Mass Concentration (i.e., PM 10 , PM 4 , PM 2.5 , and PM 1 ) over a wide Concentration range (0.001–150 mg/m 3 ) in real time. This instrument combines photometric measurement of the particle cloud and optical sizing of single particles in a single optical system. The photometric signal is calibrated to approximate the PM 2.5 fraction of the particulate Mass, the size range over which the photometric signal is most sensitive. The electrical pulse heights generated by light scattering from particles larger than 1 micron are calibrated to approximate the aerodynamic diameter of an aerosol of given physical properties, from which the aerosol Mass distribution can be inferred. By combining the photometric and optical pulse measurements, this instrument can estimate aerosol Mass Concentrations higher than typical single particle counting instruments while providing size information and more accurate Mass Concentration informat...
Ali Mamtimin - One of the best experts on this subject based on the ideXlab platform.
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Analysis on Mass Concentration of Atmospheric Particulate Matter and its Influencing Factors in Sandstorm Process in the Taklimakan Desert Hinterland
Journal of Desert Research, 2011Co-Authors: Ali MamtiminAbstract:The Mass Concentration of atmospheric particulate matter during a sandstorm process happed from April 17th to 23rd in the Taklimakan desert hinterland was observed continuously with instruments of Grimm1.108,Thermo RP 1 400 a,TSP,and CAWS-600 at the Tazhong Desert Atmosphere and Environment Observation Experiment.(1) Results showed that there were two peak values of daily average Concentration observed by Grimm1.108,and the main peak appeared on April 20th,the second peak appeared on April 18th.The high value of daily average Concentration appeared mainly from April 19th to 20th,and there was a single peak value in the afternoon of April 21st,and the Concentration was comparatively lower in the other period of the period.(2) The intensity of the sandstorm enhanced with the increase of wind speed,and the Mass Concentration of atmospheric particulate matter gradually increased,reaching the maximum at a curtain time,then the Mass Concentration decreased.The maximum total Mass Concentration was 39 496.5 μg·m-3 at atmospheric particulate matter larger than 0.23 μm,and 5 390.7 μg·m-3 at larger than 20.0 μm.(3) The changes of PM10 and TSP Concentration reflected the changes of sandstorm process and intensity.The Mass Concentration of atmospheric particulate matter during the initial stage of sandstorm was lower than that during the middle period of sandstorm.The Mass Concentration decreased with the weakening of sandstorm.(4) The Mass Concentration changed with the sandstorm course,and the order of particulate matter Concentration in different weather was sunshinefloating dustblowing dustsandstorm.The Mass Concentration was directly related to the wind speed,and the bigger wind speed,the higher Mass Concentration.Air temperature,humidity and pressure were the most important factors affecting the intensity of sandstorm,and they also indirectly affect the Mass Concentration of atmospheric particulate matter.
Enric Robine - One of the best experts on this subject based on the ideXlab platform.
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aerosol Mass Concentration measurements recent advancements of real time nano micro systems
Journal of Aerosol Science, 2017Co-Authors: Ugur Soysal, Evelyne Gehin, Emmanuelle Algre, Brice Berthelot, Enric RobineAbstract:Abstract As excessive exposure to airborne particulate matter (PM) results in adverse health effects, the development of real-time PM monitoring is highly relevant. The objective of this article is to broadly review the current state-of-the-art on aerosol Mass-Concentration measurement, and on real-time monitoring systems. Widely used systems are bulky, time consuming or expensive to maintain. Over the past decade, sensor developments have shown the following features: portable, inexpensive, and suitable for monitoring real-time measurements. PM monitoring systems can be easily accessed through the development of nano or micro scale systems. These sensors can be integrated into conventional electronic devices in order to demonstrate their capabilities to provide real-time and ultra-sensitive measurements. However, reducing the size of the systems reveals strengths and limitations. With respect to Mass Concentration measurement, we distinguish a generation of “first” and “second” systems based on their different sizes. We examine the main characteristics of PM systems as follows: type of instrument devices (either bulky or nano/microfabricated), sampling method, real-time monitoring measurement capability, sensitivity, and reliability of the new generation of sensors. Acoustic Mass sensors are compared to nano and micro scale electromechanical sensors. While the miniature sensors still need to be matured and integrated into appropriate aerosols sampling methods, the physical constraints and the Mass measurement capability of these sensors are investigated. Nano and micro sensors can be promising tools for aerosol Mass Concentration measurement systems, particularly in terms of sensitivity. A PM monitoring system can be achieved by combining an appropriate sampling method with nano or micro sensors. This review suggests different types of sensors that can be used as an appropriate option for PM monitoring, and suggests that fixed and reliable bulky systems are soon to be replaced by nano and micro scale sensors. Nevertheless, the latter systems should be further optimized in order to exhibit more accurate measurements.
John F. Thielke - One of the best experts on this subject based on the ideXlab platform.
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Plume opacity related to particle Mass Concentration and size distribution
Atmospheric Environment, 2003Co-Authors: John F. Thielke, Mary Josephine Paula PilatAbstract:Abstract Simultaneous measurements of the in-stack light transmittance, particle Mass Concentration and particle size distribution were conducted on a hogged fuel boiler, a Kraft recovery furnace and a pulverized coal-fired boiler. The experimental data were utilized to evaluate a technique for predicting paniculate Mass Concentration based on the particle characteristics. The predicted relationship between in-stack transmittance and particulate Mass Concentration was in good agreement with the experimental measurements for the hogged fuel boiler and the pulverized coal-fired boiler. The discrepancy noted in the predicted relationship for the Kraft recovery furnace may have been caused by measurement problems associated with low particulate Mass Concentrations or uncertainties in a value for the average particle density. An approach is presented for estimating the transmittance across a given light path based on the ratio of the specific volume to light extinction coefficient for monodisperse particle size increments. Figures are provided for determining this ratio for a wide range of particle sizes and refractive indices. The results of this study indicate the importance of using the actual particle size distribution for predicting the relationship between transmittance and Mass Concentration. An example problem is presented to illustrate the application of the calculation technique.