CITY AIR POLLUTION NUMERICAL PREDICTION SYSTEM AND ITS APPLICATION

Zhu Rong; Xu Dahai; Meng Yanjun; Cheng Conglan; Chao Demin

Vol.12, NO.3, 2001

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2001 > 12(3): 267-278

Zhu Rong, Xu Dahai, Meng Yanjun, et al. City air pollution numerical prediction system and its application. J Appl Meteor Sci, 2001, 12(3): 267-278.

Citation:

Zhu Rong, Xu Dahai, Meng Yanjun, et al. City air pollution numerical prediction system and its application. J Appl Meteor Sci, 2001, 12(3): 267-278.

Zhu Rong, Xu Dahai, Meng Yanjun, et al. City air pollution numerical prediction system and its application. J Appl Meteor Sci, 2001, 12(3): 267-278.

Citation:

Zhu Rong, Xu Dahai, Meng Yanjun, et al. City air pollution numerical prediction system and its application. J Appl Meteor Sci, 2001, 12(3): 267-278.

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CITY AIR POLLUTION NUMERICAL PREDICTION SYSTEM AND ITS APPLICATION

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Beijing Meteorological Bureau, Beijing 100081
3.
Shanghai Meteorological Bureau, Shanghai 200030

Received Date: 2000-03-06
Rev Recd Date: 2000-05-23
Publish Date: 2001-08-31

Abstract

Abstract

The City Air Pollution Numerical Prediction System (CAPPS) consists of MM5 (or MM4) and the multi-scale grid-box model based on the integral of the atmospheric advective dispersion equation. The system has been used for predicting the Pollution Potential Index (PPI) and Air Pollution Index (API) in the urban areas without inventory data of sources. In the field of urban air pollution numerical prediction, CAPPS has overcome the difficulty brought by the inherent indefiniteness in the urban inventory of emissions.In this paper, CAPPS is applied to the air guality prediction experiments in Beijing and Shanghai and the results from these experiments are verified and compared with those from several photochemical air pollution models cited from publications. The comparison shows that the prediction accuracy of CAPPS is as good as most sophisticated photochemical models according to the correlation coefficients between the forecasted and the observed. Furthermore, the averaged prediction accuracy of pollution level has reached 61.5% in Beijing and Shanghai.
- CAPPS;
- Air pollution index;
- Prediction of urbun air guality;
- Grid-box model;

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References(11)

Figures and Tables

图 1 CAPPS模式系统流程图

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图 2 SO₂污染指数的预报值与监测值对比

(实线:预报值, 点线:监测值 (下同))

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图 3 NO₂污染指数的预报值与监测值对比

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图 4 RSP污染指数的预报值与监测值对比

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图 5 CO污染指数的预报值与监测值对比

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图 6 所有污染物的污染指数预报与监测值的相关

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图 7 SO₂污染指数的预报值与监测值对比

(实线:预报值, 虚线:观测值 (下同))

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图 8 NO_X污染指数的预报值与监测值对比

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图 9 TSP污染指数的预报值与监测值对比

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图 10 1990年10月13~19日德国Cologne大学的EURAD大气污染预报系统不同网格分辨率预报的SO₂浓度与监测值的比较^[2]

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图 11 挪威气象研究所的光化学模式预报的Rörvik地区1989年8~10月的NO₂浓度与监测值比较^[3]

(实线:预报值, 虚线:监测值)

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图 12 挪威气象研究所的光化学模式预报的Rörvik地区1989年8~10月的NO_X浓度与监测值比较^[3]

(说明同图 11)

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表 1 北京市1999年12月8日API预报结果

表 2 CAPPS系统和其它模式的预报值与观测值的相关系数

References

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