Share:


Dust diffusion in large-scale urban construction combining WRF and CALPUFF model—take Xiamen as an example

    Hong Zhou Affiliation
    ; Binwei Gao Affiliation
    ; Fangdi Deng Affiliation

Abstract

With the increasing number of construction sites in cities, construction dust, as one of the essential factors affecting the atmospheric environment, urgently needs more attention. Most existing studies have studied construction dust and other particle sources comprehensively. There remains a need for research on large-scale diffusion ultimately aiming at construction dust, especially studies on the diffusion law of dust generated only by construction dust at a large-scale city level where all construction sites within the city working at the same time. To systematically explore the diffusion distribution of construction dust in such a situation, this paper takes Xiamen as the research object and puts forward a large-scale construction dust diffusion research method by integrating emission factors and combining WRF and CALPUFF model. The spatial distribution of PM10 emission during the simultaneous construction of all sites in Xiamen in 2019 was simulated. The diffusion law of dust in large-scale construction in Xiamen is obtained. On this basis, the regional contribution of construction dust PM10 in various districts of Xiamen and the best start month of each district are obtained, which provides valuable suggestions for government construction control. This research method can be effectively applied to cities similar to Xiamen.

Keyword : construction dust, large-scale diffusion simulation, WRF-CALPUFF combining, emission factor, construction management

How to Cite
Zhou, H., Gao, B., & Deng, F. (2023). Dust diffusion in large-scale urban construction combining WRF and CALPUFF model—take Xiamen as an example. Journal of Environmental Engineering and Landscape Management, 31(4), 288–306. https://doi.org/10.3846/jeelm.2023.20044
Published in Issue
Dec 13, 2023
Abstract Views
428
PDF Downloads
173
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Akhmetshina, A. S., Kizhner, L. I., Kuzhevskaia, I. V., Bart, A. A., Zuev, V. V., & Shelekhov, A. P. (2015, June 22–26). Using WRF mesoscale model to restore temperature profile in atmosphere boundary layer in Tomsk. Proceedings of SPIE, 9680. https://doi.org/10.1117/12.2205590

Bo, X., Ding, F., Xu, H., & Li, S. (2009). Review of atmospheric diffusion CALPUFF model technology. The Administration and Technique of Environmental Monitoring, 21(03), 9–13+47. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2009&filename=HJJS200903006&uniplatform=NZKPT&v=B-udfVJQslXSwbUP44yQXjp9lkTMZ5D2x_S0-rJNGAqpc_QGeQ7TbLnwVWRL1Pf3

Chang, J. C., & Hanna, S. R. (2004). Air quality model performance evaluation. Meteorology and Atmospheric Physics, 87(1–3), 167–196. https://doi.org/10.1007/s00703-003-0070-7

Chen, S. Y., Zhang, X. R., Lin, J. T., Huang, J. P., Zhao, D., Yuan, T. G., Huang, K. N., Luo, Y., Jia, Z., Zang, Z., Qiu, Y. A., & Xie, L. (2019). Fugitive road dust PM2.5 emissions and their potential health impacts. Environmental Science & Technology, 53(14), 8455–8465. https://doi.org/10.1021/acs.est.9b00666

Choi, G.-S., Lim, J.-M., Lim, K.-S. S., Kim, K.-H., & Lee, J.-H. (2018). Characteristics of regional scale atmospheric dispersion around Ki-Jang research reactor using the Lagrangian Gaussian puff dispersion model. Nuclear Engineering and Technology, 50(1), 68–79. https://doi.org/10.1016/j.net.2017.10.002

Cui, H., Yao, R., Xu, X., Xin, C., & Yang, J. (2011). A tracer experiment study to evaluate the CALPUFF real time application in a near-field complex terrain setting. Atmospheric Environment, 45(39), 7525–7532. https://doi.org/10.1016/j.atmosenv.2011.08.041

Cui, M., Wang, X., Su, H., & Zhang, Y. (2008). Chemical characteristics and source analysis of atmospheric inhalable particles in Guangzhou. Acta Scientiarum Naturalium Universitatis Pekinensis, (03), 459–466. https://doi.org/10.13209/j.0479-8023.2008.072

Fan, W., Chen, J., Tang, B., Feng, X., & Luo, L. (2022). Study on emission inventory of building construction dust in Guangyuan City. Sichuan Environment, 41(01), 113–118. https://doi.org/10.14034/j.cnki.schj.2022.01.018

Fan, W., Chen, J., Tang, B., Feng, X., Sun, H., Zhang, Y., Wang, J., Jing, C., Luo, L., Jiang, T., Wu, K., Sun, S., Jiang, T., Qian, J., & Liu, Z. (2020). Study on dust emission characteristics of construction in Chengdu. China Environmental Science, 40(09), 3767–3775. https://doi.org/10.19674/j.cnki.issn1000-6923.2020.0421

Fisher, A. L., Parsons, M. C., Roberts, S. E., Shea, P. J., Khan, F. I., & Husain, T. (2003). Long-terms SO2 dispersion modeling over a coastal region. Environmental Technology, 24(4), 399–409. https://doi.org/10.1080/09593330309385574

Gehrig, R., & Buchmann, B. (2003). Characterising seasonal variations and spatial distribution of ambient PM10 and PM2.5 concentrations based on long-term Swiss monitoring data. Atmospheric Environment, 37(19), 2571–2580. https://doi.org/10.1016/s1352-2310(03)00221-8

Guo, D. P., Wang, R., & Zhao, P. (2020). Spatial distribution and source contributions of PM2.5 concentrations in Jincheng, China. Atmospheric Pollution Research, 11(8), 1281–1289. https://doi.org/10.1016/j.apr.2020.05.004

Holnicki, P., Kaluszko, A., & Trapp, W. (2016). An urban scale application and validation of the CALPUFF model. Atmospheric Pollution Research, 7(3), 393–402. https://doi.org/10.1016/j.apr.2015.10.016

Huang, Y., Cai, Y., Mao, H., Sheng, L., Qin, J., & Yan, J. (2011). Emission factors and particle size distribution of construction dust in Hohhot. Journal of Inner Mongolia University (Natural Science Edition), 42(02), 230–235. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2011&filename=NMGX201102019&uniplatform=NZKPT&v=uYab8mdtNEO7xXl6mD8lrP2KiogtFOYrwA7DOeDfiqRyRUOl7QLhnXdgaCX0P7mI

Lee, H. D., Yoo, J. W., Kang, M. K., Kang, J. S., Jung, J. H., & Oh, K. J. (2014). Evaluation of concentrations and source contribution of PM10 and SO2 emitted from industrial complexes in Ulsan, Korea: Interfacing of the WRF-CALPUFF modeling tools. Atmospheric Pollution Research, 5(4), 664–676. https://doi.org/10.5094/apr.2014.076

Lei, T., Li, B., Bo, X., Qu, J., Ma, Y., Mao, N., & Lu, R. (2021). Evaluation of emission reduction of cangzhou foundry industry based on CALPUFF. Environmental Impact Assessment, 43(05), 68–74. https://doi.org/10.14068/j.ceia.2021.05.015

Li, B. (2014). Research on methods of improving atmospheric environmental impact prediction level in coking industry [Master’s thesis, Lanzhou University]. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201402&filename=1014301835.nh

Li, H. (2017). A study on the inflow turbulence in simulation of microscale atmospheric environment by multi-scale coupling method [Doctoral dissertation, Tsinghua University]. China.

Li, M., Yang, D., & He, W. (2020). Comparison and perspectives on theories and simulation results of gas dispersion models AERMOD and CALPUFF. Geomatics and Information Science of Wuhan University, 45(08), 1245–1254. https://doi.org/10.13203/j.whugis20200110

Li, Y., & Guo, H. (2006). Comparison of odor dispersion predictions between CFD and CALPUFF models. Transactions of the Asabe, 49(6), 1915–1926. https://doi.org/10.13031/2013.22293

Lim, K.-S. S., Lim, J.-M., Lee, J., & Shin, H. H. (2021). Impact of boundary layer simulation on predicting radioactive pollutant dispersion: A case study for HANARO research reactor using the WRF-MMIF-CALPUFF modeling system. Nuclear Engineering and Technology, 53(1), 244–252. https://doi.org/10.1016/j.net.2020.06.011

Liu, X. (2015). Simulation of PM2.5 regional transmission in Beijing-Tianjin-Hebei Region [Doctoral dissertation, Tsinghua University]. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CDFD&dbname=CDFDLAST2016&filename=1016712159.nh&uniplatform=NZKPT&v=-v-iifNI1-AUKGC2_l-cELvYv8sD-Jcc33RrQJ3NDBK5o8WLW01M3P5nrr1BJ8Uz

Liu, Y. (2012). Large eddy simulation of urban micro-atmospheric environment [Doctoral dissertation, Tsinghua University]. China.

Ministry of Ecology and Environment of the Peoples Republic of China. (2018). Technical guidelines for environmental impact assessment–atmospheric environment (HJ 2.2-2018). Standards Press of China. https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/other/pjjsdz/201808/t20180814_451386.shtml

Ministry of Ecology and Environment the People’s Republic of China. (2014). Technical guide for the preparation of dust source particulate emission inventory (Trial). https://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm

Peckham, S. E. (2012). WRF/Chem version 3.3 user’s guide. https://repository.library.noaa.gov/view/noaa/11119

Rui, D., Chen, J., & Feng, Y. (2008). Source apportionment of PM10 in Nanjing. Environmental Science and Management, (04), 56–58+61. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFD2008&filename=BFHJ200804015&uniplatform=NZKPT&v=j6Uat3naGufkjV79BT7aSaGY379lKkimiMEfLqBMk6eeJeZSzrchjxA7pb0Yi41j

Shi, X., Guo, D. P., Wang, R., Li, Y., & Yao, R. (2022). Effects on pollutant dispersion over complex terrain on CALPUFF model. Radiation Protection, 42(05), 433–441.

Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D., Duda, M. G., Huang, X.-y., Wang, W., & Powers, J. G. (2008). A description of the advanced research WRF version 3 (No. NCAR/TN-475+STR). University Corporation for Atmospheric Research. https://doi.org/10.5065/D68S4MVH

Song, B., Huang, Y., Qin, J., Li, B., Zhang, C., & Shi, A. (2019). Overview of test methods for dust emission factors of construction in China and abroad. Environmental Engineering, 37(04), 126–130. https://doi.org/10.13205/j.hjgc.201904024

Sówka, I., Kobus, D., Skotak, K., Zathey, M., Merenda, B., & Paciorek, M. (2019). Assessment of the health risk related to air pollution in selected polish health resorts. Journal of Ecological Engineering, 20(10), 132–145. https://doi.org/10.12911/22998993/113142

Statistics, X. M. B. o. (2020, March 20). National Economic and Social Development Statistics Bulletin of Xiamen in 2019. A06. https://doi.org/10.28890/n.cnki.nxmrb.2020.001228

Tartakovsky, D., Stern, E., & Broday, D. M. (2016). Dispersion of TSP and PM10 emissions from quarries in complex terrain. Science of the Total Environment, 542, 946–954. https://doi.org/10.1016/j.scitotenv.2015.10.133

Todd, M. C., & Cavazos-Guerra, C. (2016). Dust aerosol emission over the Sahara during summertime from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) observations. Atmospheric Environment, 128, 147–157. https://doi.org/10.1016/j.atmosenv.2015.12.037

United States Environmental Protection Agency. (1995). AP-42: Compilation of air pollutant emission factors (5th ed.). Research Triangle Park.

Venkatram, A. (2004). On estimating emissions through horizontal fluxes (vol 38, pg 1337, 2004). Atmospheric Environment, 38(14), 2209. https://doi.org/10.1016/j.atmosenv.2004.02.012

Veranth, J. M., Pardyjak, E. R., & Seshadri, G. (2003). Vehicle-generated fugitive dust transport: Analytic models and field study. Atmospheric Environment, 37(16), 2295–2303. https://doi.org/10.1016/s1352-2310(03)00086-4

Wu, P. (2018). Study on health effects of major air pollutants in Linyi city [Master’s thesis, Capital University of Economics and Business]. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201901&filename=1018141620.nh&uniplatform=NZKPT&v=EcjfX_AD27gj0Gw1LhdOR6q6CGSK5An8lh7llV8kL7cb5H4u_tbUAHVZy4ps7kID

Xiao, S., Cai, M., Li, X., Huang, Z., Wang, J., Zhu, Q., & Wu, S. (2022). Characterization and health risk assessment of heavy metals in PM2.5 in Xiamen Port. Environmental Science, 43(07), 3404–3415. https://doi.org/10.13227/j.hjkx.202110163

Xing, J. D., Ye, K. H., Zuo, J., & Jiang, W. Y. (2018). Control dust pollution on construction sites: What governments do in China? Sustainability, 10(8), 2945. https://doi.org/10.3390/su10082945

Xu, H., Zhu, Y., Wang, L., Lin, C. J., Jang, C., Zhou, Q., Yu, B., Wang, S. X., Xing, J., & Yu, L. (2019). Source contribution analysis of mercury deposition using an enhanced CALPUFF-Hg in the central Pearl River Delta, China. Environmental Pollution, 250, 1032–1043. https://doi.org/10.1016/j.envpol.2019.04.008

Xu, Q., Zhou, G., Duan, H., Li, X., Yin, W., & Tang, Y. (2022). Accounting of fugitive emissions in steel plant with aeromod model [Conference presentation]. 2022 Annual Conference of Science and Technology of Chinese Society of Environmental Sciences – Branch of Environmental Engineering Technology Innovation and Application, Nanchang, Jiangxi, China.

Yan, H., Ding, G. L., Li, H. Y., Wang, Y. S., Zhang, L., Shen, Q. P., & Feng, K. L. (2019). Field evaluation of the dust impacts from construction sites on surrounding areas: A city case study in China. Sustainability, 11(7), 1906. https://doi.org/10.3390/su11071906

Yang, J., Jiang, X., Bo, X., Wang, G., & Feng, Y. (2023). Large eddy simulation of urban micro-atmospheric environment. Environmental Science, 44(01), 104–117.

Yang, T., He, Y., Liu, Y., Sun, L., & Wang, H. (2022). Simulation of dust pollution diffusion in urban construction sites [Conference presentation]. 2022 Annual Conference of Science and Technology, Chinese Society of Environmental Sciences, Nanchang, Jiangxi, China.

Yang, Y. (2014). Character, level and regulatory measures study of fugitive dust emissions from building construction sites in PRD [Master’s thesis, South China University of Technology]. China.

Yang, Y., Zhao, Y., Zhang, L., & Lu, Y. (2019). Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China. Atmospheric Environment, 219, 117051. https://doi.org/10.1016/j.atmosenv.2019.117051

Zhang, L., Li, L., Jiang, L., Zhao, W., Lu, H., Wang, X., & Qiu, Y. (2019). Spatio-temporal variation of bare land in Beijing construction and dust emission. Environmental Science, 40(01), 135–142. https://doi.org/10.13227/j.hjkx.201804236

Zhang, R., Li, M., Yang, D., & Liu, H. (2022). Three dimensional dynamic simulation method of toxic gas leakage accident based on CALPUFF model: A case study of Gaoqiao Town. Acta Scientiarum Naturalium Universitatis Pekinensis, 1–15.

Zhang, Y., Liu, P., Pun, B., & Seigneur, C. (2006). A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode – Part I: Evaluation protocols, databases, and meteorological predictions. Atmospheric Environment, 40(26), 4825–4838. https://doi.org/10.1016/j.atmosenv.2005.12.043

Zhang, Y., Sartelet, K., Wu, S. Y., & Seigneur, C. (2013a). Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 1: Model description, evaluation of meteorological predictions, and aerosol-meteorology interactions. Atmospheric Chemistry and Physics, 13(14), 6807–6843. https://doi.org/10.5194/acp-13-6807-2013

Zhang, Y., Sartelet, K., Zhu, S., Wang, W., Wu, S.-Y., Zhang, X., Wang, K., Tran, P., Seigneur, C., & Wang, Z.-F. (2013b). Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe – Part 2: Evaluation of chemical concentrations and sensitivity simulations. Atmospheric Chemistry and Physics, 13(14), 6845–6875. https://doi.org/10.5194/acp-13-6845-2013

Zhao, D., & Li, X. (2018). Comparative study of atmospheric diffusion model AERMOD and CALPUFF. In 2018 Annual Meeting of Science and Technology of Chinese Society of Environmental Sciences, Hefei, Anhui, China.

Zhao, L. (2020). Transfer characteristics and source apportionment of heavy metals in the dust-soil-plant system at the park sites in Xiamen [Doctoral dissertation, Huaqiao University]. China. https://doi.org/10.27155/d.cnki.ghqiu.2020.000702

Zhao, W., Fan, S., & Xie, W. (2015). A comparison of AERMOD with CALPUFF for coastal power plant flue gas dispersion modeling. Environmental Science and Technology, 38(03), 189–194. https://doi.org/10.3969/j.issn.1003-6504.2015.03.035

Zhou, H., Shen, X., & Zhao, Y. (2022). Research on simulation of construction dust diffusion and quantitative assessment for damage on workers’ health. Journal of Safety and Environment, 1–10.

Zhu, K. (2020). Spatial and temporal pattern of dust in changsha urban area and analysis of influencing factors [Master’s thesis, Hunan Normal University]. China. https://doi.org/10.27137/d.cnki.ghusu.2020.002000