Emission Inventory of Volatile Organic Compounds from Field Burning of Crop Residues in Hubei Province, China

2014 ◽  
Vol 955-959 ◽  
pp. 1280-1284
Author(s):  
Bi Jie Huang

Crop residues combustion is an important anthropogenic sources of volatile organic compounds (VOCs) in China.Emissions of VOCs from crop residues combustion significantly affect climate forcing and human health. A reliable estimation of VOCs emission from the source is the important prerequisite for emission impact assessment and control strategy in the urban or regional areas. VOCs emissions from crop residues combustion in Hubei Province, China and the districts were estimated by factor analysis method, which was based on the yield of major farm crops in the period of 2010. Moreover, Cultivated-land emission intensity (Ic) and Regional emission intensity (Ir) were also calculated. VOCs Emissions from crop residues combustion in Hubei Province were about 80, 000 t in 2010; Ic and Ir were 2.431 t•km-2 and 0.434 t•km-2 respectively; Huanggang, Jingzhou, Xiangyang, Jingmen and Xiaogan had the top five of VOCs Emissions from crop residues combustion. Ic and Ir of Qianjiang, Xiaotao and Ezhou were all more than the average; Ic of Suizhou and Ir of Tianmen were also above the average. 10 city mentioned above should be draw attention as the priority control area. Furthermore, crop residues utilization according to agricultural cyclic economy is a feasible way to cope with the environmental problem of biomass combustion.

2011 ◽  
Vol 250-253 ◽  
pp. 935-938 ◽  
Author(s):  
Shi Jing Sun ◽  
Jun Shen ◽  
Zhong Yuan Zhao

In order to comprehensive understand and control volatile organic compounds (VOCs) release from particleboards, this paper takes Larix gmelini particleboard as example and analyzes VOCs by three different methods. First of all, VOCs of Larix gmelini particles were detected by the static head space solid-phase micro-extraction (HS-SPME) technique. Secondly Larix gmelini particleboards were analyzed using the method of adsorbed by activated carbon, desorpted with methylene dichloride and measured by GC/MS. Finally, Tenax-T Thermal desorption -GC/MS was used to qualitative VOCs emissions. The best method for determination VOCs from particleboards was found. SPME is a simple operation method with short time. But the pretreatment of sample was troublesome and it is not easily measured for lower concentration particleboards. Active carbon absorption method is not suitable for quantitative because of much error in extraction. It is suitable for qualitative analysis. Tenax-T is a simple operation way with short analysis time and good shape of chromatographic. It is a convenient and practical method. Further study of VOCs emission of panels can be supported by this method.


1997 ◽  
Vol 1997 (1) ◽  
pp. 323-327
Author(s):  
Jonathan A. McSayles ◽  
Isabel E. Caputa ◽  
Peter A. Tennant

ABSTRACT The Organics Detection System (ODS) is a spill detection network cooperatively operated by the Ohio River Valley Water Sanitation Commission (ORSANCO), 11 water utilities, and 3 industries at strategic locations along the Ohio, Allegheny, Monongahela, and Kanawha rivers. The ODS uses purge and trap gas chromatography to analyze for 20 volatile organic compounds (US EPA, 1986). Since its inception in 1977, the network has undergone several advancements in its ability to monitor, analyze, and detect volatile organic compounds in the Ohio River. The present instrumentation used in the network was purchased from 1986 through 1990. The network's capabilities have progressed to the monitoring of raw intake water 24 hours a day, 7 days a week and processing raw data with computers. The most noticeable advance has been in the use of computers to manipulate chromatograms, generate final reports, and transfer information. Additionally, computers and modems have enhanced communication between ORSANCO and ODS locations by accelerating the dissemination of information to downstream water users, allowing the observation of chromatograms and general troubleshooting. New technology under consideration includes the ability to remotely control a gas Chromatograph, incorporate automated check samples, and control alarm settings and the notification of such alarms. The ideal system would run independently until one of two conditions occurred—a compound exceeded the alarm threshold, or there was an instrument malfunction.


2008 ◽  
Vol 8 (1) ◽  
pp. 245-284 ◽  
Author(s):  
B. Langford ◽  
B. Davison ◽  
E. Nemitz ◽  
C. N. Hewitt

Abstract. Concentrations and fluxes of six volatile organic compounds (VOC) were measured above the city of Manchester (UK) during the summer of 2006. A proton transfer reaction-mass spectrometer was used for the measurement of concentrations, and fluxes were calculated using both the disjunct and the virtual disjunct eddy covariance techniques. The two flux systems, which operated in alternate half hours, showed reasonable agreement, with R2 values ranging between 0.2 and 0.8 for the individual analytes. On average, fluxes measured in the disjunct mode were lower than those measured in the virtual mode by approximately 19%, of which at least 8% can be attributed to the differing measurement frequencies of the two systems and the subsequent attenuation of high frequency flux contributions. Observed fluxes are thought to be largely controlled by anthropogenic sources, with vehicle emissions the major contributor. However both evaporative and biogenic emissions may account for a fraction of the isoprene present. Fluxes of the oxygenated compounds were highest on average, ranging between 60–89 μg m−2 h−1, whereas the fluxes of aromatic compounds were lower, between 19–42 μg m−2 h−1. The observed fluxes of benzene were up-scaled to give a city wide emission estimate which was found to be significantly lower than that of the National Atmospheric Emissions Inventory (NAEI).


2020 ◽  
Author(s):  
Cécile Debevec ◽  
Stéphane Sauvage ◽  
Valérie Gros ◽  
Thérèse Salameh ◽  
Jean Sciare ◽  
...  

Abstract. An original time series of about 300 atmospheric measurements of a wide range of volatile organic compounds (VOCs) has been obtained at a remote Mediterranean station on the northern tip of Corsica Island (Ersa, France) over 25 months from June 2012 to June 2014. This study presents the seasonal variabilities of 25 selected VOCs, and their various associated sources. The VOC speciation was largely dominated by oxygenated VOCs (OVOCs) along with primary anthropogenic VOCs having a long lifetime in the atmosphere. VOC temporal variations are then examined. Primarily of local origin, biogenic VOCs exhibited notable seasonal and interannual variations, related to temperature and solar radiation ones. Anthropogenic compounds have shown an increasing concentration trend in winter (JFM months) followed by a decrease in spring/summer (AMJ/JAS months), and different concentration levels in winter periods of 2013 and 2014. OVOC concentrations were generally higher in summertime, mainly due to secondary and biogenic sources, whereas their concentrations during fall and winter were potentially more influenced by anthropogenic primary/secondary sources. Moreover, an apportionment factorial analysis was applied to a database comprising a selection of 14 primary individual or grouped VOCs by means of the positive matrix factorization (PMF) technique. A PMF solution composed of 5 factors was taken on. It includes a biogenic factor (which contributed 4 % to the total VOC mass), three anthropogenic factors (namely short-lived anthropogenic sources, evaporative sources, and long-lived combustion sources; which together accounted for 57 %), originating from either nearby or more distant emission areas (such as Italy and south of France); and a remaining one (39 %) connected to the regional background pollution. Variations in these main sources impacting VOC concentrations observed at the receptor site are also investigated at seasonal and interannual scales. In spring and summer, VOC concentrations observed at Ersa were the lowest in the 2-yr period, despite higher biogenic source contributions and since anthropogenic sources advected to Ersa were largely influenced by chemical transformations and vertical dispersion phenomena and were mainly of regional origins. During fall and winter, anthropogenic sources showed higher accumulated contributions when European air masses were advected to Ersa and could be associated to potential emission areas located in Italy and possibly more distant ones in central Europe. Higher VOC concentrations during winter 2013 compared to winter 2014 ones could be related to anthropogenic source contribution variations probably governed by emission strength of the main anthropogenic sources identified in this study together with external parameters, i.e. weaker dispersion phenomena and pollutant depletion. High frequency observations collected during several intensive field campaigns conducted at Ersa during the three summers 2012–2014 confirmed findings from bi-weekly samples in terms of summer concentration levels and source apportionment. However, they suggest that higher sampling frequency and temporal resolution, in particular to observe VOC concentrations variation during the daily cycle, are needed to confirm the deconvolution of the different anthropogenic sources identified by PMF approach. Finally, comparisons of the 25 months of observations at Ersa with VOC measurements conducted at 17 other European monitoring stations highlight the representativeness of the Ersa background station for monitoring seasonal variations in VOC regional pollution impacting continental Europe. Nevertheless, winter VOC concentration levels can significantly vary between sites, pointing out spatial variations in anthropogenic source contributions. As a result, Ersa concentration variations in winter were more representative of VOC regional pollution impacting central Europe. Interannual and spatial VOC concentration variations in winter were also significantly impacted by synoptic phenomena influencing meteorological conditions observed in continental Europe, suggesting that short observation periods may reflect the variability of the identified parameters under the specific meteorological conditions of the studied period.


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