| 基于神经网络方法的城市空气质量日报技术 |
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| 引用本文： | 张孟,李晶.基于神经网络方法的城市空气质量日报技术[J].环境监测管理与技术,2010,22(1):67-70. |
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| 作者姓名： | 张孟 李晶 |
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| 作者单位： | 长春市环境监测中心站,吉林,长春,130022 |
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| 摘 要： | 运用神经网络方法,将城市空气质量状况与大气污染物对空气质量的损害程度相关联,采用了"基于大气污染损害率的API法"评价概念,模拟发布长春市空气质量日报,同时公布次要污染物,并与API法进行同时段比对实验与综合分析。
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| 关 键 词： | 空气质量日报 空气污染指数 神经网络 环境空气 长春市 |
Techniquefor Urban Air Quality Daily ReportBased on NeuralNetworkM ethod |
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| ZHANG Meng,LI Jing.Techniquefor Urban Air Quality Daily ReportBased on NeuralNetworkM ethod[J].The Administration and Technique of Environmental Monitoring,2010,22(1):67-70. |
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| Authors: | ZHANG Meng LI Jing |
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| Institution: | ( Changchun Environmental Monitoring Central Station, Changchun , Jilin 130022, China) |
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| Abstract: | A new method based on the damage rate of air pollution was presented by neural network method that atmospheric pollutants related urban air quality damage in order to improvement of the API evaluation for domestic urban environmental air quality. The simulated daily air quality report of Changchun as well as secondary atmospheric pollutants was announced to test and analyze the method in the same period. |
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| Keywords: | Daily air quality report Air Pollution Index Neural network Ambient air Changchun |
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