不同大气稳定度分类法及扩散参数方案对CALPUFF模拟结果的影响及拟合湍流方案的研究

摘要/Abstract

摘要： 通过沿海某核电厂址在不同大气稳定度条件下开展的示踪试验,验证了CALPUFF模式中三种大气扩散参数方案在不同大气稳定度条件下的数值模拟效果。研究结果表明,实测湍流方案的模拟效果受大气稳定度分类结果的影响较小,综合评估结果最好。在模式模拟大气稳定度分类结果和基于气象塔实测数据的大气稳定度分类结果一致的条件下,微气象方案模拟结果略差于实测湍流方案模拟,好于PG方案。在环评重点关注的不利天气条件下,采用微气象方案或PG方案的模拟结果可能会与实际浓度分布结果有偏差。为了解决长期实测湍流数据不易获取的问题,将用于大气稳定度分类的气象塔实测数据及对应时段的湍流观测资料进行拟合,构造出各大气稳定度条件下湍流脉动标准差方程。统计结果表明,结合了大气稳定度指标的拟合湍流方案模拟效果良好,对于提高核电厂大气扩散模拟效果具有一定的实用意义。

关键词: CALPUFF, 大气稳定度, 示踪试验, 大气扩散参数, 湍流观测

Abstract: The numerical simulation results of three diffusion parameter schemes in CALPUFF model under different atmospheric stability conditions are verified by tracer tests at a coastal nuclear power plant site. The results show that the simulation effect of the measured turbulence scheme is less affected by the classification results of atmospheric stability, and the comprehensive evaluation result is the best. Under the condition that the classification results of atmospheric stability simulated by the model are consistent with those based on the measured data of the weather tower. And the simulation results of the micrometeorological scheme are slightly worse than that of the measured turbulence scheme, and are better than that of the PG scheme. Under the adverse weather conditions that the EIA focuses, the simulated results of the micrometeorological or PG scenarios may differ from the actual concentration distribution results. In order to solve the problem that it is difficult to obtain long-term measured turbulence data, the measured data of meteorological tower used for classification of atmospheric stability and the turbulence observation data of corresponding period were fitted, and the standard deviation equation of turbulence pulsation under various atmospheric stability conditions was constructed. The statistical results show that the fitting turbulence scheme combined with the atmospheric stability index has a good simulation effect, which has a certain practical significance for improving the atmospheric diffusion simulation effect for nuclear power plants.

Key words: CALPUFF, atmospheric stability, tracer test, atmospheric diffusion parameter, turbulence observation

中图分类号:

X169

鲍昕杰, 杨宗甄, 陶乃贵, 张晓峰, 王一川. 不同大气稳定度分类法及扩散参数方案对CALPUFF模拟结果的影响及拟合湍流方案的研究[J]. 辐射防护, 2023, 43(2): 145-154.

BAO Xinjie, YANG Zongzhen, TAO Naigui, ZHANG Xiaofeng, WANG Yichuan. Effects of different atmospheric stability classification and diffusion parameter schemes on CALPUFF simulation results and a turbulence fitting scheme[J]. RADIATION PROTECTION, 2023, 43(2): 145-154.

参考文献

[1] 王志铭. 一种基于人口分布的大气环境红线划定技术[J]. 环境科学与技术,2019,42(S1):194-198.
WANG Zhiming. A determining methodology of atmospheric environment red line basing on population distribution:taking Guangzhou city for example[J]. Environmental Scienceand & Technology,2019,42(S1):194-198.
[2] 杨景朝,伯鑫,田军,等. WRF四维同化数据在空气质量法规模型CALPUFF的应用研究[J]. 环境工程,2018,36(7):165-169.
YANG Jingchao,BO Xin,Tian Jun,et al. Application of four-dimension data assimilation methods in CALPUFF[J]. Environmental Engineering,2018,36(7):165-169.
[3] 舒璐,杨宏,马丹阳,等. WRF水平分辨率对CALPUFF模拟污染物浓度的影响[J]. 环境保护科学,2019,45(6):84-91.
SHU Lu,YANG Hong,MA Danyang, et al. Effect of WRF horizontal resolution on pollutant concentration simulated by CALPUFF[J].Enviromental Protection Science,2019,45(6):84-91.
[4] 阚慧,伯鑫,屈加豹,等.2015年海南省火电行业大气环境影响研究[J].中国环境科学,2019,39(1):428-439.
KAN Hui,BO Xin,QU Jiabao, et al. Air quality impacts of power plant emissions in Hainan province[J]. China Environmental Science,2019,39(1):428-439.
[5] Ruggeri M F,Lana N B,Altamirano J C,et al. Spatial distribution, patterns and source contributions of POPs in the atmosphere of Great Mendoza using the WRF/CALMET/CALPUFF modelling system[J].Emerging Contaminants,2020(6):103-113.
[6] Loeck J F, Schramm J,Bodmann B. On a model for pollutant dispersion in the atmosphere with partially reflective boundary conditions and data simulation using CALPUFF [J].American Journal of Environmental Engineering, 2018,8(4):112-117.
[7] Mateusz Rzeszutek. Parameterization and evaluation of the CALMET/ CALPUFF model system in near-field and complex terrain—Terrain data, grid resolution and terrain adjustment method [J]. Science of The Total Environment,2019(689):31-46.
[8] CUI Huiling,YAO Rentai,XU Xiangjun, 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.
[9] 朱好,蔡旭晖,张宏升,等. 内陆丘陵河谷地区小风条件下的大气扩散模拟研究[J]. 环境科学学报,2011,31(3):613-623.
ZHU Hao,CAI Xuhui,ZHANG Hongsheng,et al. Atmospheric dispersion simulation in low wind conditions in inland hills and valleys[J]. Acta Scientiae Circumstantiae,2011,31(3):613-623.
[10] 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.
ZHU Hao,ZHANG Hongsheng,CAI Xuhui, et al. Using CALPUFF for near-field atmospheric dispersion simulation over complex terrain[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2013,49(3):452-462.
[11] 王博,栾海燕,吴晗,等. 核电厂野外示踪试验的三维数值模拟研究[J]. 中国环境科学,2016,36(10):2950-2956.
WANG Bo,LUAN Haiyan,WU Han, et al. Three dimensional numerical simulation of field tracer experiment for atmospheric dispersion around a domestic nuclear power plant[J]. China Environmental Science,2016,36(10):2950-2956.
[12] 胡二邦,王寒,张永义,等. 滨海复杂地形核电厂址高斯烟羽模式有效性检验[J].辐射防护,2004,24(5):289-296.
HU Erbang,WANG Han,ZHANG Yongyi,et al. Examination of validation of gaussian plume model at the coastal nuclear power plant’s site with complex terrain[J]. Radiation Protection,2004,24(5):289-296.
[13] 胡二邦,辛存田,宣义仁,等.福建惠安核电厂址SF₆示踪试验研究[J]. 环境科学学报,2004,24(2):320-325.
HU Erbang,XIN Cuntian,XUAN Yiren,et al. The SF₆ tracer test study in the Fujian Huian nuclear power plant[J]. Acta Scientiae Circumstantiae,2004,24(2):320-325.
[14] 陈晓秋.大亚湾核电厂址大气示踪试验的数值模拟 [J].辐射防护,2005,25(5): 274-282.
CHEN Xiaoqiu. Numerical simulation of trace tests in atmosphere in Daya Bay nuclear power site[J]. Radiation Protection, 2005,25(5): 274-282.
[15] 康凌,蔡旭辉,王志远,等. 福建漳州沿海大气扩散特性的数值分析与模拟[J]. 北京大学学报,2011,47(1):71-78.
KANG Ling,CAI Xuhui,WANG Zhiyuan,et al. Numerical analysis and simulation of characteristics of atmospheric diffusion in coastal area of Zhangzhou,Fujian[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2011,47(1):71-78.
[16] 伯鑫.CALPUFF模型技术方法与应用[M]. 北京:中国环境出版社,2016:5-6.
[17] 蒋维楣,孙鉴泞,曹文俊,等. 空气污染气象学教程[M]. 北京:气象出版社,2004:85-87.
[18] Scire J S,Strimaitis D G, Yamartino Robert, et al. A user’s guide for the CALPUFF dispersion model(Version 5)[R].2000:2-24-2-30.
[19] Marco Falocchi,Werner Tirler,Lorenzo Giovannini,et al. A dataset of tracer concentrations and meteorological observations from the Bolzano Tracer EXperiment(BTEX) to characterize pollutant dispersion processes in an Alpine valley [J]. Earth Syst Sci Data,2020,12:277-291.
[20] Hanna S R. Air quality model evaluation and uncertainty [J]. Journal of the Air Pollution Control Association,1988,38:406-412.
[21] Hanna S R. Uncertainties in air quality model predictions [J]. Boundary-Layer Meterology,1993,62:3-20.
[22] Chang J C,Hanna S R. Air quality model performance evaluation[J]. Meteorology and Atmospheric Physics,2004,87:167-196.
[23] 吴艳标,刘树旺,阳继宏,等. 粤东复杂地形上空的大气湍流强度及扩散参数[J]. 热带气象学报,1996,12(2):130-137.
WU Yanbiao,LIU Shuwang,YANG Jihong,et al. Atmospheric turbulence intensity and diffusion parameter over complicated topograph of Eastern Guangdong[J]. Journal of Tropoical Meteorology,1996,12(2):130-137.
[24] 黄嘉佑.气象统计分析与预报方法[M]. 北京:气象出版社,2004:36-39;44-46.