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Risk assessment and forwarning of PM10 pollution in Shanghai based on self-organized criticality theory |
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Abstract With rescaled range analysis, power spectral analysis and frequency-size analysis, the time scaling properties of PM10 pollution in Shanghai was studied. An analogy between PM10 pollution events and the sand pile was made, suggesting the existence of self-organized criticality (SOC) in PM10 pollution. It was the SOC of PM10 pollutants that resulted in the temporal variation of PM10 pollution indexes in Shanghai. The emission of minor air pollution sources, such as home kitchens, hotels and building construction, could trigger the occurrence of high PM10 pollution events by SOC behavior. The possibility of high pollution events risk would be great during 2010 in Shanghai. Moreover, the occurrence of high pollution events was spontaneous and unpredicted.
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Received: 10 November 2010
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