复杂地形对污染物扩散影响的CALPUFF模型研究

辐射防护 ›› 2022, Vol. 42 ›› Issue (5): 433-441.

复杂地形对污染物扩散影响的CALPUFF模型研究

史学峰¹, 郭栋鹏², 王冉³, 李云鹏¹, 姚仁太¹

1.中国辐射防护研究院,太原 030006;
2.太原科技大学,太原 030024;
3.古县经济技术开发区管委会,山西临汾 041000

收稿日期:2021-11-02 出版日期:2022-09-20 发布日期:2022-10-17
通讯作者: 郭栋鹏。E-mail:guodongpeng001@163.com
作者简介:史学峰(1979—),男,2002年毕业于太原理工大学环境工程专业,副研究员。E-mail:921423@qq.com
基金资助:
国家自然科学基金(U21A20524)。

Effects on pollutant dispersion over complex terrain on CALPUFF model

SHI Xuefeng¹, GUO Dongpeng², WANG Ran³, LI Yunpeng¹, YAO Rentai¹

1. China Institute for Radiation Protection, Taiyuan 030006;
2. Taiyuan University of Science andTechnology, Taiyuan 030024;
3. Economy Technology Developing Zone in Guxian,Shanxi Linfen 041000

Received:2021-11-02 Online:2022-09-20 Published:2022-10-17

摘要/Abstract

摘要： 本文应用WRF/CALPUFF模型模拟了湖南省桃花江内陆核电站厂址野外示踪试验,研究受复杂地形影响下的SF₆烟羽扩散规律,并与现场试验进行对比分析。结果表明:受到地形的影响,风向会发生改变,污染物扩散轨迹随之改变,地形是影响SF₆扩散轨迹的重要因素。同时,应用统计学参数分析模拟结果的合理性,其中FAC₂与FAC₅值分别为30.1%与57.7%,说明模拟扩散因子与现场试验扩散因子之间吻合较好。总之,研究表明CALPUFF模型能较好地模拟复杂地形条件下的污染物扩散。

关键词: WRF模型, CALPUFF模型, 复杂地形, 扩散因子

Abstract: In this paper, the WRF/CALPUFF model is used to simulate a tracer experiment at Taohuajiang Inland Nuclear Power Plant in Hunan Province, and the plume dispersion of SF₆ in complex terrain is studied. The simulated results are compared with field experiment results. The results show that the dispersion of SF₆ approximates a Gaussian distribution with the distance from the sample points to the release point, and the maximum value of SF₆ dispersion factor appears at 1.2 km from the release point. Terrain is an important factor affecting the dispersion trajectory of SF₆. In addition, the statistical parameters are used to analyze the feasibility of model. The value of FAC₂ and FAC5 is 30.1% and 57.7%, respectively. These values show that the simulated dispersion factor are better in agreement with the observed dispersion factor. In conclusion, the CALPUFF model can simulate the dispersion of pollutants over complex terrain.

Key words: WRF model, CALPUFF model, complex terrain, dispersion factor

中图分类号:

X169

史学峰, 郭栋鹏, 王冉, 李云鹏, 姚仁太. 复杂地形对污染物扩散影响的CALPUFF模型研究[J]. 辐射防护, 2022, 42(5): 433-441.

SHI Xuefeng, GUO Dongpeng, WANG Ran, LI Yunpeng, YAO Rentai. Effects on pollutant dispersion over complex terrain on CALPUFF model[J]. RADIATION PROTECTION, 2022, 42(5): 433-441.

参考文献

[1] Nagendra S M S,Diya M,Chithra V S,et al. Characteristics of air pollutants at near and far field regions of a national highway located at an industrial complex[J]. Transportation Research Part D,2016,48:1-13.
[2] TIAN H Z,QIU P P. Current status and future trends of SO₂ and NO_x pollution during the 12th FYP period in Guiyang city of China[J].Atmospheric Environment,2013,69:273-280.
[3] Abdul-Wahab S,Fadlallah S,Al-Rashdi M. Evaluation of the impact of ground-level concentrations of SO₂, NO_x, CO and PM₁₀ emitted from a steel melting plant on Muscat, Oman[J].Sustainable Cities and Society,2018,38:675-683.
[4] Abdul-Wahab S A,Fadlallah S O. A study of the effects of vehicle emissions on the atmosphere of Sultan Qaboos University in Oman[J].Atmospheric Environment,2014,98:158-167.
[5] Lee H D,Yoo J W,Kang M K,et al. Evaluation of concentrations and source contribution of PM₁₀and SO₂ emitted from industrial complexes in Ulsan, Korea: Interfacing of the WRF-CALPUFF modeling tools[J]. Atmospheric Pollution Research,2014,5:664-676.
[6] Li S Y,Xie S D. Spatial distribution and source analysis of SO₂ concentration in Urumqi[J].Hydrogen Energy,2016,41:15899-15908.
[7] Yim S H L,Fung J C H,Lau A K H. Use of high-resolution MM5/CALMET/CALPUFF system: SO₂ apportionment to air quality in Hong Kong[J]. Atmospheric Environment,2014,44:4850-4858.
[8] 苑魁魁. MM5/CALPUFF模拟西安市SO₂浓度特征研究[D]. 长安大学,2012.
[9] Melo A M V D,Santos J M,Mavroidis I,et al. Modelling of odour dispersion around a pig farm building complex using AERMOD and CALPUFF. Comparison with wind tunnel results[J].Buildingand Environment,2012,56:8-20.
[10] Ranzato L,Barausse A,Mantovani A,et al. A comparison of methods for the assessment of odor impacts on air quality: field inspection (VDI 3940) and the air dispersion model CALPUFF[J]. Atmospheric Environment,2012,61:570-579.
[11] Pivato A,Barausse A,Zecchinato F,et al.An integrated model-based approach to the risk assessment of pesticide drift from vineyards[J]. Atmospheric Environment,2015,111:136-150.
[12] Ghannam K,El-Fadel M. Emissions characterization and regulatory compliance at an industrial complex: an integrated MM5/CALPUFF approach[J]. Atmospheric Environment,2013,69:156-169.
[13] Rood A S. Performance evaluation of AERMOD, CALPUFF, and legacy airdispersion models using the Winter Validation Tracer Study dataset[J]. Atmospheric Environment,2014,89:707-720.
[14] CUI H L,YAO R T,XU X J,et al. A tracer experiment study to evaluate the CALPUFF real time application in a near-field complex terrain setting[J]. Atmospheric Environment,2011,45:7525-7532.
[15] 朱好,张宏升,蔡旭晖,等.CALPUFF在复杂地形条件下的近场大气扩散模拟研究[J]. 北京大学学报(自然科学版),2013,49(3):452-462.
[16] YANG Q Q,DAI Q,HAN D W. Sensitivity analysis of raindrop size distribution parameterizations in WRF rainfall simulation[J].Atmospheric Research,2019,228:1-13.
[17] Scire J S,Strimaitis D G,Yamartino R J.A user’s guide for the CALPUFF dispersion model[R]. Earth Techchnologies Inc.http://www.src.com/calpuff/download/CALPUFF_UsersGuide.pdf,2000.
[18] Choi G S, Lim J M,Lim K S S,et al. Characteristics of regional scale atmospheric dispersion around Ki-Jang research reactor using the Lagrangian Gaussian puff dispersion model[J]. Nuclear Engineering and Technology,2018,50:68-79.
[19] Hoinaski L, Franco D, Lisboa H D M. Comparison of plume lateral dispersion coefficients schemes: effect of averaging time[J]. Atmospheric Pollution Research,2016,7:134-141.
[20] Chang J C,Hanna S R. Air quality model performance evaluation[J]. Meteorology and Atmospheric Physics,2004,87(1-3):167-196.