The Pressure Mechanism Of Socioeconomic Activities’Impaction On The Environmental Pollution In Liaoning Province

The pressure mechanism of socio-economic activities on environmental pollution is a breakthrough to solve the pollution problem. This dissertation mainly studies the impact of socio-economic activities on environmental pollution in Liaoning Province, we not only deeply analyse the socio-economic pressure mechanism on land environmental pollution in Liaohe basin, but also develop an exploratory study on the pressure mechanism on marine environmental pollution in Liaodong Bay and Bohai Sea. As we all know, Bohai Sea has serious environmental pollution with a worrying upward trend. The related data indicate that the land pollution sources do account for more than80%of marine pollutants. So the reduction of land pollution emission is fundamental to solve the Bohai pollution. The dissertation takes the COD, ammonia-nitrogen and heavy metals pollutants as the study object in Liaoning Province. We study the structure and spatial distribution of the socio-economic sources of pollutants, analyze the relationship between the environmental pollution pressure and socio-economic activities, and estimate the future environmental pressures and risks with all kinds of socio-economic activities. The Conclusions can provide a reference for land and marine environmental pollution control and will be meaningful for the other river basins, lakes, and sea pollution control. The contents and conclusions are as follows:(1) We construct the socio-economic indicator system with impact on the COD, ammonia-nitrogen and heavy metals pollution emission. Specifically, based on the systematic summary of the pollutant production and emission coefficients from socio-economic activities and according to the ways of pollutants into the sea, the types of socio-economic activities were distinguished. Then combined with the discharge coefficient and the scale of pollution sources, the operational and available socio-economic indicators are selected and the indicator system are constructed for COD. ammonia-nitrogen and heavy metals pollution emissions.(2) The dissertation focuses on seven important industries for heavy metals pollution with the data of6905companies and analyses the pollution sources and the spatial distribution of heavy metal risk in Liaoning Province. The results show that the standard pollution load of hexavalent was the largest followed by arsenic, mercury, lead and cadmium. Moreover, there is little difference among the pollution load of the hexavalent chromium, arsenic and mercury. The spatial distribution of non-ferrous metal processing, non-ferrous metal mining and fabricated metal products industry largely determine the distribution of heavy metal pollution in Liaoning Province. The pollution risk of the heavy metal around the cities is in descending order:Huludao> Shenyang> Kaiyuan> Jinzhou>Dalian> Liaoyang> Fushun> Yingkou.(3) Based on the sectional data of2010, the pollution emissions of COD, ammonia-nitrogen and heavy metals are estimated in the three areas of industrial production, urban life and agriculture&rural. We analyze the structure and the spatial distribution of the socio-economic pressures on the pollutants. Combined with the time-series data of pollution emissions and socio-economy, the impulse response function is used to analyze the relationship between the socio-economic growth and pollutants including COD and ammonia-nitrogen. We analyze the relative contribution of the various socio-economic indicators to the pollutant emissions of COD and ammonia-nitrogen. Furthermore we study the economic development characteristics at the declining inflection point for COD and ammonia-nitrogen. We identified a pressure mechanism of socio-economic development on pollutant emissions.(4) On the basis of the study on the pressure mechanism of socio-economic activities on environment pollution, the contributions of socio-economic factors on pollutant are analyzed. With the related contribution rates, the dissertation constructs a socio-economic pressure index on pollutant emissions. Different scenarios of socio-economic development and future COD and ammonia-nitrogen emission are simulated. The results show that from2011to2020, the total COD emission rises in volatility and will remain high in the short term. However there will be a slow decline in the total ammonia-nitrogen emissions. Emission pressure from industry and urban life will gradually reduce, but the agricultural&rural will remain to show a trend of linear growth.