DOI: 10.1016/j.atmosenv.2015.03.051
Scopus记录号: 2-s2.0-84926321187
论文题名: Comparison between light scattering and gravimetric samplers forPM<inf>10</inf> mass concentration in poultry and pig houses
作者: Cambra-López M ; , Winkel A ; , Mosquera J ; , Ogink N ; W ; M ; , Aarnink A ; J ; A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 111 起始页码: 20
结束页码: 27
语种: 英语
英文关键词: Calibration factor
; Dust measurement
; DustTrak
; Gravimetry
; Livestock housing
Scopus关键词: Agriculture
; Animals
; Calibration
; Cyclone separators
; Gravimetric analysis
; Houses
; Housing
; Linear regression
; Mammals
; Regression analysis
; Storms
; Calibration factors
; Correlation coefficient
; DustTrak
; Linear regression equation
; Livestock housing
; Mass concentration
; Random deviation
; Regression coefficient
; Light scattering
; calibration
; comparative study
; concentration (composition)
; dust
; emission inventory
; gravimetry
; instrumentation
; light scattering
; pig
; poultry
; regression analysis
; sampler
; sampling
; animal housing
; Article
; broiler
; calibration
; gravimetry
; humidity
; light scattering
; nonhuman
; particle size
; poultry
; priority journal
; swine
; turkey (bird)
; Netherlands
; Animalia
; Suidae
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: The objective of this study was to compare co-located real-time light scattering devices and equivalent gravimetric samplers in poultry and pig houses for PM10 mass concentration, and to develop animal-specific calibration factors for light scattering samplers. These results will contribute to evaluate the comparability of different sampling instruments for PM10 concentrations. Paired DustTrak light scattering device (DustTrak aerosol monitor, TSI, U.S.) and PM10 gravimetric cyclone sampler were used for measuring PM10 mass concentrations during 24h periods (from noon to noon) inside animal houses. Sampling was conducted in 32 animal houses in the Netherlands, including broilers, broiler breeders, layers in floor and in aviary system, turkeys, piglets, growing-finishing pigs in traditional and low emission housing with dry and liquid feed, and sows in individual and group housing. A total of 119 pairs of 24h measurements (55 for poultry and 64 for pigs) were recorded and analyzed using linear regression analysis. Deviations between samplers were calculated and discussed. In poultry, cyclone sampler and DustTrak data fitted well to a linear regression, with a regression coefficient equal to 0.41, an intercept of 0.16mgm-3 and a correlation coefficient of 0.91 (excluding turkeys). Results in turkeys showed a regression coefficient equal to 1.1 (P = 0.49), an intercept of 0.06 mg m-3 (P < 0.0001) and a correlation coefficient of 0.98. In pigs, we found a regression coefficient equal to 0.61, an intercept of 0.05mgm-3 and a correlation coefficient of 0.84. Measured PM10 concentrations using DustTraks were clearly underestimated (approx. by a factor 2) in both poultry and pig housing systems compared with cyclone pre-separators. Absolute, relative, and random deviations increased with concentration. DustTrak light scattering devices should be self-calibrated to investigate PM10 mass concentrations accurately in animal houses. We recommend linear regression equations as animal-specific calibration factors for DustTraks instead of manufacturer calibration factors, especially in heavily dusty environments such as animal houses. © 2015 . Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81772
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Animal Science and Technology, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain; Wageningen UR Livestock Research, P.O. Box 338, AH Wageningen, Netherlands
Recommended Citation:
Cambra-López M,, Winkel A,, Mosquera J,et al. Comparison between light scattering and gravimetric samplers forPM<inf>10</inf> mass concentration in poultry and pig houses[J]. Atmospheric Environment,2015-01-01,111