|
JEI
Home |
JTAS |
Subscription
|
Journal of Environmental
Informatics
Online ISSN
1684-8799 / Print ISSN 1726-2135
Guest
© 2010 ISEIS.
All rights reserved.
An Integrated MM5-CAMx Modeling Approach for Assessing PM10 Contribution from Different Sources in Beijing, China
Q. Huang1, S. Y. Cheng1*, Y. P. Li2, J. B. Li3, D. S. Chen1 and H. Y. Wang1
- College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100022, China
- Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing 102206, China
- Environmental Engineering Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
*Corresponding author. Tel: +86 10 67391656 Fax: +86 10 67391983 Email: chengsy@bjut.edu.cn
Abstract
In this study, a coupled MM5-CAMx air quality modeling system is proposed for simulating the PM10 (which stands for the suspended particulate matter less than 10 μm in diameter) concentration in Beijing, China. The PSAT (particulate matter source apportionment technology) technique is used to investigate the PM10 source apportionment in this area. The results indicate that the influence from regions outside of Beijing including Hebei province, Shanxi province, Tianjin City, and Inner Mongolia cannot be ignored, and the total emission source contribution ratio (ESCR) from these regions is 26.65%. Emissions from four local industries in Beijing including stationary emission source, road dust emission source, construction sites dust emission source, and fugitive industrial emission source, which has an ESCR of 59.59%, are main local contributors of PM10. Further analysis shows that these four industry emissions located in the urban area of Beijing are main contribution sources of PM10 pollution in Beijing, with an ESCR of 51.67%. The results obtained can provide useful information for Beijing's PM10-emission control and abatement. They can also be used for further pollution-mitigation plans establishment and providing a solid support for sound air quality management.
Keywords: air quality, CAMx, MM5, PM10, PSAT
Full Text (PDF) | Export citation to: EndNote RefMan
Cite this paper as: Q. Huang, S. Y. Cheng, Y. P. Li, J. B. Li, D. S. Chen and H. Y. Wang, 2010. An Integrated MM5-CAMx Modeling Approach for Assessing PM10 Contribution from Different Sources in Beijing, China. Journal of Environmental Informatics, 15(2), 47-61. doi:10.3808/jei.201000166
References: 36
- Anastassopoulos, A., Nguyen, S., and Xu, X. (2008). An assessment of meteorological effects on air quality in Windsor, Ontario, Canada - sensitivity to temporal modeling resolution. J. Env. Inform., 11(2), 45-50. doi:10.3808/jei.200800110
- Athanasiadis, I.N., and Mitkas, P.A. (2007). Knowledge discovery for operational decision support in air quality management. J. Env. Inform., 9(2), 100-107. doi:10.3808/jei.200700091
- Begum, B.A., Kim, E., Jeong, C.H., Lee, D.W., and Hopke, P.K. (2005). Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode. Atmos. Environ., 39(20), 3719-3724. doi:10.1016/j.atmosenv.2005.03.008
- Benkovitz, C.M., Berdowski, J.J.M., and Veldt, C. (1995). The GEIA global gridded inventory of anthropogenic VOCs, in the Emission Inventory: Applications and Improvement, Raleigh, Air & Waste Management Association, Pittsburgh, PA, pp. 609-618.
- BJEPB (Beijing Environmental Protection Bureau). (2008). Beijing Environmental Assessment Annual Report, Beijing Municipal Government Publication Series, China.
- Chen, D.S., Cheng, S.Y., Li, J.B., Zhao, X.Y., Guo, X.R., Hu, H.L., and Yu, T. (2007a). Application of LIDAR technique and MM5-CMAQ modeling approach for the assessment of winter PM10 air pollution: A case study in Beijing, China. Water, Air, Soil Pollut., 181, 409-427. doi:10.1007/s11270-006-9314-8
- Chen, D.S., Cheng, S.Y., Liu, L., Chen, T., and Guo, X.R. (2007b). An integrated MM5-CMAQ modeling approach for assessing trans-boundary PM10 contribution to the host city of 2008 Olympic Summer Games - Beijing, China. Atmos. Environ., 41, 1237-1250. doi:10.1016/j.atmosenv.2006.09.045
- Chen, F., and Dudhia, J. (2001a). Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon. Weather Rev., 129, 569-585.
- Chen, F., and Dudhia, J. (2001b). Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part II: preliminary model validation. Mon. Weather Rev., 129, 587-604.
- Cheng, S.Y., Chen, D.S., Li, J.B., Guo, X.R., and Wang, H.Y. (2007a). An ARPS-CMAQ modeling approach for assessing the atmospheric assimilative capacity of the Beijing metropolitan region. Water, Air, Soil Pollut., 181, 211-224. doi:10.1007/s11270-006-9294-8
- Cheng, S.Y., Chen, D.S., Li, J.B., Wang, H.Y., and Guo, X.R. (2007b). The assessment of emission-source contributions to air quality by using a coupled MM5-ARPS-CMAQ modeling system: A case study in the Beijing metropolitan region, China. Environ. Model. Software., 22(11), 1601-1616. doi:10.1016/j.envsoft.2006.11.003
- Dudhia, J., Gill, D., Manning, K., Wang, W., and Bruyere, C. (2004). PSU/NCAR Mesoscale Modeling System Tutorial Class Notes and User's Guide: MM5 Modeling System Version 3, National Center for Atmospheric Research, USA.
- Dunker, A.M., Yarwood, G., Ortmann, J.P., and Wilson, G.M. (2002). Comparison of source apportionment and source sensitivity of ozone in a three-dimensional air quality model. Environ. Sci. Technol., 36(13), 2953-2964. doi:10.1021/es011418f
- ENVIRON. (2006). User's guide for the comprehensive air quality model with extensions (CAMx), Version 4.40, ENVIRON International Corporation, Noavto, California, USA.
- Fushimi, A., Kawashima, H., and Kajihara, H. (2005). Source apportionment based on an atmospheric dispersion model and multiple linear regression analysis. Atmos. Environ., 39(7), 1323- 1334. doi:10.1016/j.atmosenv.2004.11.009
- Grell, G.A., Emeis, S., Stockwell, W.R., Schoenemeyer, T., Forkel, R., Michalakes, J., Knoche, R., and Seidl, W. (2000). Application of the multiscale, integrated MM5/chemistry model to the complex terrain of the VOTALP valley campaign. Atmos. Environ., 34, 1435-1453. doi:10.1016/S1352-2310(99)00402-1
- Hao, J.M., Wang, L.T., Li, L., Hu, J.N., and Yu, X.C. (2005). Air pollutants contribution and control strategies of energy-use related sources in Beijing. Science in China series D - Earth Sciences, 48 (Suppl. 2), 138-146.
- Holloway, T., Levy, H., and Carmichael, G. (2002). Transfer of reactive nitrogen in Asia: development and evaluation of a source-zreceptor model. Atmos. Environ., 36(26), 4251-4264. doi:10.1016/S1352-2310(02)00316-3
- Hopke, P.K., Cohen, D.D., Begum, B.A., Biswas, S.K., Ni, B.F., Pandit, G.G., Santoso, M., Chung, Y.S., Davy, P., Markwitz, A., Waheed, S., Siddique, N., Santos, F.L., Pabroa, P.C.B., Seneviratne, M.C.S., Wimolwattanapun, W., Bunprapob, S., Vuong, T.B., Hien, P.D., and Markowicz, A. (2008). Urban air quality in the Asian region. Sci. Total Environ., 404, 103-112. doi:10.1016/j.scito-tenv.2008.05.039
- Houyoux, M., and Vukovich, J. (1999). Updates to the Sparse Matrix Operator Kernel Emissions (SMOKE) modeling system and integration with Models-3, in the Emissions Inventory: Regional Strategies for the Future Conference, Air & Waste Management Association, Raleigh, NC, pp. 47-59.
- Lee, S., Russell, A., and Baumann, K. (2007). Source apportionment of fine particulate matter in the southeastern United States. J. Air Waste Manage. Assoc., 57(9), 1123-1135.
- Morris, R.E., Koo, B., Guenther, A., Yarwood, G., McNally, D., Tesche, T.W., Tonnesen, G., Boylan, J., and Brewer, P. (2006). Model sensitivity evaluation for organic carbon using two multi-pollutant air quality models that simulate regional haze in the southeastern United States. Atmos. Environ., 40, 4960-4972. doi:10.1016/j.atmonsenv.2005.09.088
- Streets, D.G., Bond, T.C., Carmichael, G.R., Fernandes, S.D., Fu, Q., He, D., Klimont, Z., Nelson, S.M., Tsai, N.Y., Wang, M.Q., Woo, J.H., and Yarber, K.F. (2003). The MICS-Asia Phase II emission inventory, in the Sixth Workshop on the Transport of Air Pollutants in Asia (Model Intercomparison Study - MICS-Asia), International Institute for Applied Systems Analysis, Laxenburg, Austria, pp. 10-20.
- Streets, D.G., Fu, J.S., Jang, C.J., Hao, J.M., He, K.B., Tang, X.Y., Zhang, Y.H., Wang, Z.F., Li, Z.P., Zhang, Q., Wang, L.T., Wang, B.Y., and Yu, C. (2007). Air quality during the 2008 Beijing Olympic Games. Atmos. Environ., 41, 480-492. doi:10.1016/j.atmosenv.2006.08.046
- Su, F.Q., Ren, Z.H., Gao, Q.X., and Zhang, Z.G. (2004). Convergence system of air contamination in boundary layer above Beijing and North China: transportation convergence in boundary layer. Research of Environmental Sciences, 17(1), 21-25 (in Chinese).
- Tesche, T.W., Morris, R., Tonnesen, G., McNally, D., Boylan, J., and Brewer, P. (2006). CMAQ/CAMx annual 2002 performance evaluation over the eastern US. Atmos. Environ., 40, 4906-4919. doi:10.1016/j.atmosenv.2005.08.046
- Titov, M., Sturman, A.P. and Zawar-Reza, P. (2007). Application of MM5 and CAMx to local scale dispersion of particulate matter for the city of Christchurch, New Zealand. Atmos. Environ., 41(2), 327-338. doi:10.1016/j.atmosenv.2006.08.012
- Tonnesen, G., Wang, Z., and Wang, Y. (2005). CMAQ tagged species source apportionment (TSSA), in US EPA STAR PM Source Apportionment Progress Review Workshop, Research Triangle Park, NC, USA, pp. 7-27.
- Wagstrom, K.M., Pandis, S.N., Yarwood, G., Wilson, G.M., and Morris, R.E. (2008). Development and application of a computationally efficient particulate matter apportionment algorithm in a three-dimensional chemical transport model. Atmos. Environ., 42(22), 5650-5659. doi:10.1016/j.atmosenv.2008.03.012
- Wang, H.L., Zhuang, Y.H., Wang, Y., Sun, Y.L., Yuan, H., Zhuang, G.S., and Hao, Z.P. (2008). Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China. J. Environ. Sci., 20, 1323-1327. doi:10.1016/S1001-0742(08)62228-7
- Westerdahla, D., Wang, X., Pan, X.C., and Zhang, K.M. (2009). Characterization of on-road vehicle emission factors and micro-environmental air quality in Beijing, China. Atmos. Environ., 43(3), 697-705. doi:10.1016/j.atmosenv.2008.09.042
- Yarwood, G., Grant, J., Koo, B., and Dunker, A.M. (2008). Modeling weekday to weekend changes in emissions and ozone in the Los Angeles basin for 1997 and 2010. Atmos. Environ., 42(16), 3765-3779. doi:10.1016/j.atmosenv.2007.12.074
- Yarwood, G., Wilson, G., and Morris, R. (2005). Development of the CAMx Particulate Source Apportionment Technology (PSAT) - Final Report, ENVIRON International Corporation, Noavto, California, USA.
- Yeomans, J.S. (2008). Applications of simulation-optimization methods in environmental policy planning under uncertainty. J. Env. Inform., 12(2), 174-186. doi:10.3808/jei.200800135
- Ying, Q., and Kleeman, M. (2009). Regional contributions to airborne particulate matter in central California during a severe pollution episode. Atmos. Environ., 43(6), 1218-1228. doi:10.1016/j.atmosenv.2008.11.019
- Zhou, Y., Levy, J.I., Hammitt, J.K., and Evans, J.S. (2003). Estimating population exposure to power plant emissions using CALPUFF: a case study in Beijing, China. Atmos. Environ., 37, 815-826. doi:10.1016/S1352-2310(02)00937-8