The Experts below are selected from a list of 46992 Experts worldwide ranked by ideXlab platform
G. P. Brasseur - One of the best experts on this subject based on the ideXlab platform.
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Satellite Measurements of Tropospheric Column O_3 and NO_2 in Eastern and Southeastern Asia: Comparison with a Global Model (MOZART-2)
Journal of Atmospheric Chemistry, 2007Co-Authors: S. Chandra, J. R. Ziemke, C. Granier, G. P. BrasseurAbstract:Satellite measurements of tropospheric column O_3 and NO_2 in eastern and southeastern Asia are analyzed to study the spatial and seasonal characteristics of pollution in these regions. Tropospheric column O_3 is derived from differential measurements of total column ozone from Total Ozone Mapping Spectrometer (TOMS), and stratospheric column ozone from the Microwave Limb Sounder (MLS) instrument on the Upper Atmosphere Research Satellite (UARS). The tropospheric column NO_2 is measured by Global Ozone Monitoring Experiment (GOME). A global chemical and transport model (Model of Ozone and Related Chemical Tracers, version 2; MOZART-2) is applied to analyze and interpret the satellite measurements. The study, which is based on spring, summer, and fall months of 1997 shows generally good agreement between the model and satellite data with respect to seasonal and spatial characteristics of O_3 and NO_2 fields. The analysis of the model results show that the Industrial Emission of NO_x (NO + NO_2) contributes about 50%–80% to tropospheric column NO_2 in eastern Asia and about 20%–50% in southeastern Asia. The contribution of Industrial Emission of NO_x to tropospheric column O_3 ranges from 10% to 30% in eastern Asia. Biomass burning and lightning NO_x Emissions have a small effect on tropospheric O_3 in central and eastern Asia, but they have a significant impact in southeastern Asia. The varying effects of NO_x on tropospheric column ozone are attributed to differences in relative abundance of volatile organic compounds (VOCs) with respect to total nitrogen in the two regions.
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Satellite Measurements of Tropospheric Column O3 and NO2 in Eastern and Southeastern Asia: Comparison with a Global Model (MOZART-2)
Journal of Atmospheric Chemistry, 2007Co-Authors: X. Tie, S. Chandra, J. R. Ziemke, C. Granier, G. P. BrasseurAbstract:Satellite measurements of tropospheric column O3 and NO2 in eastern and southeastern Asia are analyzed to study the spatial and seasonal characteristics of pollution in these regions. Tropospheric column O3 is derived from differential measurements of total column ozone from Total Ozone Mapping Spectrometer (TOMS), and stratospheric column ozone from the Microwave Limb Sounder (MLS) instrument on the Upper Atmosphere Research Satellite (UARS). The tropospheric column NO2 is measured by Global Ozone Monitoring Experiment (GOME). A global chemical and transport model (Model of Ozone and Related Chemical Tracers, version 2; MOZART-2) is applied to analyze and interpret the satellite measurements. The study, which is based on spring, summer, and fall months of 1997 shows generally good agreement between the model and satellite data with respect to seasonal and spatial characteristics of O3 and NO2 fields. The analysis of the model results show that the Industrial Emission of NOx (NO + NO2) contributes about 50%–80% to tropospheric column NO2 in eastern Asia and about 20%–50% in southeastern Asia. The contribution of Industrial Emission of NOx to tropospheric column O3 ranges from 10% to 30% in eastern Asia. Biomass burning and lightning NOx Emissions have a small effect on tropospheric O3 in central and eastern Asia, but they have a significant impact in southeastern Asia. The varying effects of NOx on tropospheric column ozone are attributed to differences in relative abundance of volatile organic compounds (VOCs) with respect to total nitrogen in the two regions.
Paul K S Lam - One of the best experts on this subject based on the ideXlab platform.
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odor pollution due to Industrial Emission of volatile organic compounds a case study in hefei china
Journal of Cleaner Production, 2020Co-Authors: Guijian Liu, Hong Zhang, Huaqin Xue, Xin Wang, Paul K S LamAbstract:Abstract Odor pollution as an environmental nuisance has attracted a lot of public attention. A great number of volatile organic compounds are capable of causing odor problems, most of which are accompanied by adverse health effects. Volatile organic compound samples were collected from different sites in the high-tech industry development zone in Hefei, including various kinds of factories and residential areas. The samples were analyzed by gas chromatography and mass spectrometry detection, and the analysis results showed that the concentrations of total volatile organic compounds ranged from 285.30 to 1802.30 ppbv. Among the 80 specific volatile organic compounds studied, 46 compounds detected could lead to odor pollution according to the odor threshold. To provide comprehensive characterization of odor pollution, instrumental analysis combined with olfactory measurement were conducted in this study. Odor volatile organic compounds were characterized by using olfactory odor concentration, odor index and coefficient of divergence analysis methods. According to the results, the automobile components manufacturing plants and electric products plants exhibited the highest concentrations of odor volatile organic compounds among all the major Emission sites, especially during the injection molding and spraying. Specifically, 1,4-diethylbenzene was the most abundant odorous contributor in this study. Furthermore, the profiles of each volatile organic compounds at the Industrial sites were quite different from those at the residential sites, which can be deduced that the surrounding residential zones were not strongly affected by the volatile organic compounds Emission from the Industrial zones.
Lin Feng - One of the best experts on this subject based on the ideXlab platform.
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Janus membrane decorated via a versatile immersion-spray route: controllable stabilized oil/water emulsion separation satisfying Industrial Emission and purification criteria
Journal of Materials Chemistry, 2019Co-Authors: Weifeng Zhang, Yanan Liu, Yen Wei, Lin FengAbstract:Janus membranes with opposite wetting behavior on each side are of great significance in the oil/water separation field. However, most of the reported work only focuses on the separation of immiscible oil/water mixtures instead of emulsions. In addition, almost no previous work pays attention to whether the filtrate after the separation process can meet Industrial Emission standards. In order to achieve controllable stabilized emulsion separation with high efficiency, a polyaniline–silica nanoparticle (PANI–SiNP)-modified Janus membrane is prepared through a facile immersion-spray coating method. PANI polymer and SiNPs are modified on two sides of the substrate, just like Yin and Yang in Chinese Tai Chi, and have opposite but complementary properties. The PANI-coated surface is superhydrophilic with underwater superoleophobic wettability, which can separate oil-in-water emulsions (including different ionic types and crude oil-in-sea water emulsion) when it is facing up. Conversely, the SiNP-coated surface exhibits opposite wettability with superhydrophobicity and superoleophilicity, which can separate water-in-oil emulsions when this side is facing up. More importantly, this Janus material has high efficiency for both oil-in-water and water-in-oil emulsions, meeting the Industrial Emission and purification standards. The membrane shows excellent stability and recyclability, which means it can be applied in practical wastewater treatment.
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janus membrane decorated via a versatile immersion spray route controllable stabilized oil water emulsion separation satisfying Industrial Emission and purification criteria
Journal of Materials Chemistry, 2019Co-Authors: Weifeng Zhang, Yanan Liu, Yen Wei, Lin FengAbstract:Janus membranes with opposite wetting behavior on each side are of great significance in the oil/water separation field. However, most of the reported work only focuses on the separation of immiscible oil/water mixtures instead of emulsions. In addition, almost no previous work pays attention to whether the filtrate after the separation process can meet Industrial Emission standards. In order to achieve controllable stabilized emulsion separation with high efficiency, a polyaniline–silica nanoparticle (PANI–SiNP)-modified Janus membrane is prepared through a facile immersion-spray coating method. PANI polymer and SiNPs are modified on two sides of the substrate, just like Yin and Yang in Chinese Tai Chi, and have opposite but complementary properties. The PANI-coated surface is superhydrophilic with underwater superoleophobic wettability, which can separate oil-in-water emulsions (including different ionic types and crude oil-in-sea water emulsion) when it is facing up. Conversely, the SiNP-coated surface exhibits opposite wettability with superhydrophobicity and superoleophilicity, which can separate water-in-oil emulsions when this side is facing up. More importantly, this Janus material has high efficiency for both oil-in-water and water-in-oil emulsions, meeting the Industrial Emission and purification standards. The membrane shows excellent stability and recyclability, which means it can be applied in practical wastewater treatment.
S. Chandra - One of the best experts on this subject based on the ideXlab platform.
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Satellite Measurements of Tropospheric Column O_3 and NO_2 in Eastern and Southeastern Asia: Comparison with a Global Model (MOZART-2)
Journal of Atmospheric Chemistry, 2007Co-Authors: S. Chandra, J. R. Ziemke, C. Granier, G. P. BrasseurAbstract:Satellite measurements of tropospheric column O_3 and NO_2 in eastern and southeastern Asia are analyzed to study the spatial and seasonal characteristics of pollution in these regions. Tropospheric column O_3 is derived from differential measurements of total column ozone from Total Ozone Mapping Spectrometer (TOMS), and stratospheric column ozone from the Microwave Limb Sounder (MLS) instrument on the Upper Atmosphere Research Satellite (UARS). The tropospheric column NO_2 is measured by Global Ozone Monitoring Experiment (GOME). A global chemical and transport model (Model of Ozone and Related Chemical Tracers, version 2; MOZART-2) is applied to analyze and interpret the satellite measurements. The study, which is based on spring, summer, and fall months of 1997 shows generally good agreement between the model and satellite data with respect to seasonal and spatial characteristics of O_3 and NO_2 fields. The analysis of the model results show that the Industrial Emission of NO_x (NO + NO_2) contributes about 50%–80% to tropospheric column NO_2 in eastern Asia and about 20%–50% in southeastern Asia. The contribution of Industrial Emission of NO_x to tropospheric column O_3 ranges from 10% to 30% in eastern Asia. Biomass burning and lightning NO_x Emissions have a small effect on tropospheric O_3 in central and eastern Asia, but they have a significant impact in southeastern Asia. The varying effects of NO_x on tropospheric column ozone are attributed to differences in relative abundance of volatile organic compounds (VOCs) with respect to total nitrogen in the two regions.
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Satellite Measurements of Tropospheric Column O3 and NO2 in Eastern and Southeastern Asia: Comparison with a Global Model (MOZART-2)
Journal of Atmospheric Chemistry, 2007Co-Authors: X. Tie, S. Chandra, J. R. Ziemke, C. Granier, G. P. BrasseurAbstract:Satellite measurements of tropospheric column O3 and NO2 in eastern and southeastern Asia are analyzed to study the spatial and seasonal characteristics of pollution in these regions. Tropospheric column O3 is derived from differential measurements of total column ozone from Total Ozone Mapping Spectrometer (TOMS), and stratospheric column ozone from the Microwave Limb Sounder (MLS) instrument on the Upper Atmosphere Research Satellite (UARS). The tropospheric column NO2 is measured by Global Ozone Monitoring Experiment (GOME). A global chemical and transport model (Model of Ozone and Related Chemical Tracers, version 2; MOZART-2) is applied to analyze and interpret the satellite measurements. The study, which is based on spring, summer, and fall months of 1997 shows generally good agreement between the model and satellite data with respect to seasonal and spatial characteristics of O3 and NO2 fields. The analysis of the model results show that the Industrial Emission of NOx (NO + NO2) contributes about 50%–80% to tropospheric column NO2 in eastern Asia and about 20%–50% in southeastern Asia. The contribution of Industrial Emission of NOx to tropospheric column O3 ranges from 10% to 30% in eastern Asia. Biomass burning and lightning NOx Emissions have a small effect on tropospheric O3 in central and eastern Asia, but they have a significant impact in southeastern Asia. The varying effects of NOx on tropospheric column ozone are attributed to differences in relative abundance of volatile organic compounds (VOCs) with respect to total nitrogen in the two regions.
Guijian Liu - One of the best experts on this subject based on the ideXlab platform.
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odor pollution due to Industrial Emission of volatile organic compounds a case study in hefei china
Journal of Cleaner Production, 2020Co-Authors: Guijian Liu, Hong Zhang, Huaqin Xue, Xin Wang, Paul K S LamAbstract:Abstract Odor pollution as an environmental nuisance has attracted a lot of public attention. A great number of volatile organic compounds are capable of causing odor problems, most of which are accompanied by adverse health effects. Volatile organic compound samples were collected from different sites in the high-tech industry development zone in Hefei, including various kinds of factories and residential areas. The samples were analyzed by gas chromatography and mass spectrometry detection, and the analysis results showed that the concentrations of total volatile organic compounds ranged from 285.30 to 1802.30 ppbv. Among the 80 specific volatile organic compounds studied, 46 compounds detected could lead to odor pollution according to the odor threshold. To provide comprehensive characterization of odor pollution, instrumental analysis combined with olfactory measurement were conducted in this study. Odor volatile organic compounds were characterized by using olfactory odor concentration, odor index and coefficient of divergence analysis methods. According to the results, the automobile components manufacturing plants and electric products plants exhibited the highest concentrations of odor volatile organic compounds among all the major Emission sites, especially during the injection molding and spraying. Specifically, 1,4-diethylbenzene was the most abundant odorous contributor in this study. Furthermore, the profiles of each volatile organic compounds at the Industrial sites were quite different from those at the residential sites, which can be deduced that the surrounding residential zones were not strongly affected by the volatile organic compounds Emission from the Industrial zones.