2014•Environmental Monitoring and ForewarningRequires access

The Remote Sensing Monitoring Operational System of Haze Pollution in Jiangsu Province

Niu Zhi-chu

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Abstract

On the basis of the remote sensing monitoring operational processes of haze pollution,EOS / MODIS and MODO4_L2product were chosen as the main data and the secondary data,respectively. The LM- BP artificial neural network was used to retrieve the mass concentration of regional atmospheric particles. The contribution rate of the remote sensing monitoring index and the meteorological index on the haze pollution were analyzed. The operational remote sensing evaluation index of haze pollution was selected. Based on the synchronously analysis of two typical haze pollution cases in Jiangsu Province in January 2013,the remote sensing result was basically consistent with the ground measured result. Haze pollution remote sensing monitoring can be used as an effective supplement to the ground monitoring,macroscopically reflecting the spatial regional distribution of haze pollution.

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What this paper is about

On the basis of the remote sensing monitoring operational processes of haze pollution,EOS / MODIS and MODO4_L2product were chosen as the main data and the secondary data,respectively. The LM- BP artificial neural network was used to retrieve the mass concentration of regional atmospheric particles. The contribution rate of the remote sensing monitoring index and the meteorological index on the haze pollution were analyzed. The operational remote sensing evaluation index of haze pollution was selected. Based on the synchronously analysis of two typical haze pollution cases in Jiangsu Province in January 2013,the remote sensing result was basically consistent with the ground measured result. Haze pollution remote sensing monitoring can be used as an effective supplement to the ground monitoring,macroscopically reflecting the spatial regional distribution of haze pollution.

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Available abstract

On the basis of the remote sensing monitoring operational processes of haze pollution,EOS / MODIS and MODO4_L2product were chosen as the main data and the secondary data,respectively. The LM- BP artificial neural network was used to retrieve the mass concentration of regional atmospheric particles. The contribution rate of the remote sensing monitoring index and the meteorological index on the haze pollution were analyzed. The operational remote sensing evaluation index of haze pollution was selected. Based on the synchronously analysis of two typical haze pollution cases in Jiangsu Province in January 2013,the remote sensing result was basically consistent with the ground measured result. Haze pollution remote sensing monitoring can be used as an effective supplement to the ground monitoring,macroscopically reflecting the spatial regional distribution of haze pollution.

Key concepts: Haze, Environmental science, Pollution, Remote sensing, Meteorology, Light pollution, Geography, Optics

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