Receptor modeling for analyzing PCDD/F and dioxin-like PCB sources in Hong Kong

Peng, Xiao Ling; Choi, Maggie; Wong, Ming Hung

doi:10.1007/s10666-006-9070-6

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Atmospheric PCDD/F concentrations varied from 73 fg WHO TEQ/m 3 in Athens, Greece and 81 fg WHO-TEQ/m 3 in Lancaster, United Kingdom to 27 fg WHO TEQ/m 3 in Frederiksborg, Denmark, which is located 30 km north of Copenhagen . In Asia, ambient dioxin concentrations ranged from 7.3 to 580 fg I-TEQ/m 3 in Hong Kong and from 140 to 500 fg I-TEQ/m 3 in Shanghai, China . In Japan, atmospheric levels of PCDD/F averaged 50 fg WHO-TEQ/m 3 in 2006 .…”

Section: Resultsmentioning

confidence: 99%

Polychlorinated Dibenzo-p-dioxins and Dibenzofurans in the Atmosphere Around the Great Lakes

Venier

Ferrario

Hites

2009

Environ. Sci. Technol.

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The atmospheric concentrations of PCDDs and PCDFs were measured in four sites near the shores of the North American Great Lakes. The sites included an urban site (Chicago, Illinois) and three rural/remote sites (Eagle Harbor, Michigan; Sleeping Bear Dunes, Michigan; and Sturgeon Point, New York). Sampling occurred every 24 days between November 2004 and December 2007. The concentration of PCDD/Fs averaged 2.3 +/- 0.2 fg WHO TEQ/m3 at Eagle Harbor, 35 +/- 3 fg WHO TEO/ m3 at Chicago, 7.4 +/- 1.4 fg WHO TEO/m3 at Sleeping Bear Dunes, and 13 +/- 2 fg WHO TED/m3 at Sturgeon Point. The total concentration of the 17 toxic PCDD/F congeners showed a significant seasonal trend at all sites, except Chicago. The date of maximum concentration averaged Dec 6 +/- 35 days, which is consistent with residential heating being an important source of PCDD/Fs to the atmosphere. A significant positive relationship between the logarithm of the total concentration of the 17 toxic PCDD/F congeners and the logarithm of the number of people within a 25 km radius around the sampling site was found. We suggest that urban and industrial areas, which are heavily populated, act as sources of PCDDs and PCDFs to the atmosphere.

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Section: Resultsmentioning

confidence: 99%

Polychlorinated Dibenzo-p-dioxins and Dibenzofurans in the Atmosphere Around the Great Lakes

Venier

Ferrario

Hites

2009

Environ. Sci. Technol.

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“…3 diverse research to identify the source area of ambient trace species (Ashbaugh et al, 1985;Zeng and Hopke, 1989;Cheng et al, 1993a;Cheng et al, 1993b;Hopke et al, 1995;Peng et al, 2007;Yu, 2013). This method offers users two major advantages.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Potential Source Density Function: A New Tool for Identifying Air Pollution Sources

Kim

Wee

2022

Aerosol Air Qual. Res.

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Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machinelearning technique. The PSDF model requires backward trajectories and sampling data at a receptor site in the calculation as in the conventional model to locate source areas of ambient trace species, such as the potential source contribution function (PSCF). The PSDF model can identify source areas quantitatively and provide information on the reliability of the estimation, while the PSCF model cannot. To verify and evaluate the capability of the PSDF model, tests are carried out using three scenarios based on ambient trajectory analysis data and simulated source distributions. The test results demonstrate that the PSDF model can identify the sources of ambient trace species more accurately than the PSCF model. The PSDF model can quantify the size of the source contaminating the air parcels passing through it, and the model can detect the variation of source intensity. Also, in the test, we evaluate reliability of the information provided by the PSDF model.In addition, future works are recommended to improve the model and increase its applicability.

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“…To trace the particle emission source and receptor relationship, statistical functions are employed. Specifically, the Potential Source Contribution Function (PSCF) is used to analyze the variation of potential sources and transports of chemical hazards ( Ashbaugh, Malm & Sadeh, 1985 ; Cheng et al, 1993 ; Peng, Choi & Wong, 2007 ; Ren et al, 2019 ; Yu, 2013 ; Zeng & Hopke, 1989 ). It is worth noting that PSCF not only can identify but also quantify the source areas by incorporating the Gaussian process regression ( Williams & Rasmussen, 1995 ).…”

Section: Introductionmentioning

confidence: 99%

A geospatial risk analysis graphical user interface for identifying hazardous chemical emission sources

Hou

Ren

Royer

et al. 2023

PeerJ

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Background Performing back trajectory and forward trajectory using the Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT) is a reliable approach for assessing particle transport after release among mid-field atmospheric models. HYSPLIT has an externally facing online interface that allows non-expert users to run the model trajectories without requiring extensive training or programming. However, the existing HYSPLIT interface is limited if simulations have a large amount of meteorological data and timesteps that are not coincident. The objective of this study is to design and develop a more robust tool to rapidly evaluate hazard transport conditions and to perform risk analysis, while still maintaining an intuitive and user-friendly interface. Methods HYSPLIT calculates forward and backward trajectories of particles based on wind speed, wind direction, and the corresponding location, timestamp, and Pasquill stability classes of the regions of the atmosphere in terms of the wind speed, the amount of solar radiation, and the fractional cloud cover. The computed particle transport trajectories, combined with the online Proton Transfer Reaction-Mass Spectrometry (PTR-MS) data (https://figshare.com/articles/dataset/ARL_Data_from_PROS_station_at_Hanford_site/19993964), can be used to identify and quantify the sources and affected area of the hazardous chemicals’ emission using the potential source distribution function (PSDF). PSDF is an improved statistical function based on the well-known potential source contribution function (PSCF) in establishing the air pollutant source and receptor relationship. Performing this analysis requires a range of meteorological and pollutant concentration measurements to be statistically meaningful. The existing HYSPLIT graphical user interface (GUI) does not easily permit computations of trajectories of a dataset of meteorological data in high temporal frequency. To improve the performance of HYSPLIT computations from a large dataset and enhance risk analysis of the accidental release of material at risk, a geospatial risk analysis tool (GRAT-GUI) is created to allow large data sets to be processed instantaneously and to provide ease of visualization. Results The GRAT-GUI is a native desktop-based application and can be run in any Windows 10 system without any internet access requirements, thus providing a secure way to process large meteorological datasets even on a standalone computer. GRAT-GUI has features to import, integrate, and convert meteorological data with various formats for hazardous chemical emission source identification and risk analysis as a self-explanatory user interface. The tool is available at https://figshare.com/articles/software/GRAT/19426742.

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Receptor modeling for analyzing PCDD/F and dioxin-like PCB sources in Hong Kong

Cited by 7 publications

References 27 publications

Polychlorinated Dibenzo-p-dioxins and Dibenzofurans in the Atmosphere Around the Great Lakes

Polychlorinated Dibenzo-p-dioxins and Dibenzofurans in the Atmosphere Around the Great Lakes

Potential Source Density Function: A New Tool for Identifying Air Pollution Sources

A geospatial risk analysis graphical user interface for identifying hazardous chemical emission sources

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