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Int. J. Environ. Res. Public Health 2012, 9(6), 2031-2044; doi:10.3390/ijerph9062031
Article

Spatial Autocorrelation Analysis of Chinese Inter-Provincial Industrial Chemical Oxygen Demand Discharge

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Received: 9 April 2012 / Revised: 15 May 2012 / Accepted: 15 May 2012 / Published: 25 May 2012
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Abstract

A spatial autocorrelation analysis method is adopted to process the spatial dynamic change of industrial Chemical Oxygen Demand (COD) discharge in China over the past 15 years. Studies show that amount and intensity of industrial COD discharges are on a decrease, and the tendency is more remarkable for discharge intensity. There are large differences between inter-provincial discharge amount and intensity, and with different spatial differentiation features. Global spatial autocorrelation analysis reveals that Global Moran’s I of discharge amount and intensity is on the decrease. In space, there is an evolution from an agglomeration pattern to a discretization pattern. Local spatial autocorrelation analysis shows that the agglomeration area of industrial COD discharge amount and intensity varies greatly in space with time. Stringent environmental regulations and increased funding for environmental protections are the crucial factors to cut down industrial COD discharge amount and intensity.
Keywords: industrial COD discharge; spatial autocorrelation; Moran’s I; spatial pattern industrial COD discharge; spatial autocorrelation; Moran’s I; spatial pattern
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Zhao, X.; Huang, X.; Liu, Y. Spatial Autocorrelation Analysis of Chinese Inter-Provincial Industrial Chemical Oxygen Demand Discharge. Int. J. Environ. Res. Public Health 2012, 9, 2031-2044.

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