Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Más filtros

Bases de datos
Tipo de estudio
Idioma
Tipo del documento
País de afiliación
Intervalo de año de publicación
1.
Huan Jing Ke Xue ; 41(8): 3572-3580, 2020 Aug 08.
Artículo en Zh | MEDLINE | ID: mdl-33124330

RESUMEN

Based on the automatic identification system (AIS) data and large field survey datasets for Xiamen port, the activity-based approach was used to calculate the emissions from each sailing ship in the Xiamen Emission Control Area (XECA), and to obtain the 2018 air emissions inventory for the XECA. This study subsequently analyzed the emission characteristics and spatiotemporal distribution characteristics of pollutants. The results showed that in 2018, the total amount of pollutants discharged from ships in the XECA was 16413 t, of which 82.2% were from ships entering and leaving the port and 17.8% were from ships outside of the port. NOx emissions were the highest among all of the pollutants and accounted for 64.2% of the total. Comparing the results of the five modes, emissions at berth were the highest, which was followed by the cruise mode, reduced speed-zone mode and maneuvering mode, and finally, the hoteling mode. In addition, the analysis indicated that the main source of pollutant emissions in Xiamen Port was cargo ships, of which, container ships contributed the most. The peak period of pollutant emissions from ships was between 09:00 and 16:00. The emission value during February was the lowest over the year, whereas the highest emission values occurred mostly during March and May. In terms of the spatial distribution, this study revealed that the main channel and port coastline had the highest emission values.


Asunto(s)
Contaminantes Atmosféricos , Contaminación del Aire , Contaminantes Ambientales , Contaminantes Atmosféricos/análisis , Contaminación del Aire/análisis , Monitoreo del Ambiente , Navíos , Emisiones de Vehículos/análisis
2.
Huan Jing Ke Xue ; 41(12): 5336-5344, 2020 Dec 08.
Artículo en Zh | MEDLINE | ID: mdl-33374049

RESUMEN

Based on data from industrial activities and environmental surveys in the six districts of Xiamen, the emission inventory of industrially sourced volatile organic compounds (VOCs) from eight industries in the six districts of Xiamen was calculated for 2019 by applying the emission factor analysis method. The spatial distribution pattern of VOC emission intensity in the six districts of Xiamen was analyzed. VOCs treatment technologies applied in the industries in the VOCs emission inventory were analyzed and countermeasures for improving VOC control were proposed based on the survey of the industries. The results showed that the total VOCs production and VOCs emission from industrial sources in Xiamen was 16027.88 t and 5514.58 t in 2019, respectively. Among them, the VOCs emission from Haicang, Tong'an, Xiang'an, and Jimei districts outside Xiamen Island were 1648.35, 2111.13, 667.52, and 750.48 t, respectively. Fewer VOC emissions from Xiamen Island were observed, which included 292.42 and 44.68 t from Huli and Siming districts, respectively. Except for the Huli District, the spatial distribution of emissions showed a spatial characteristic that the VOCs emission intensities outside Xiamen Island are higher than that of Xiamen Island. Among the eight industries in Xiamen, VOCs emissions were mainly from coating, printing, chemical, and rubber industries, which accounted for 51.21%, 20.18%, 13.63%, and 10.67%, respectively, of the total emissions. The analytic results of the VOCs waste gas disposal technique in Xiamen indicate that, from the perspective of source control, enterprises can effectively control the generation and emission of the VOCs at the source by using low (zero) raw materials. For the terminal disposal procedure, the actual disposal efficiency of UV photolysis/photocatalysis, low-temperature plasma, and biological methods are all lower than 80%, and that of the combined technique of adsorption and catalytic combustion, and the combustion method are both higher than 90%.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA