城市环境污染治理的大数据技术框架及数据利用

Nan Li, Zheng Ma
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摘要

城市环境污染治理对实现城市经济可持续发展具有重要的现实意义。为提高城市环境污染治理效率,我们建立了城市环境污染治理大数据技术框架。收集到的相关污染数据用于有针对性的污染治理。结果表明,全省环境污染治理平均效率由33.67%提高到63.67%,提高了46%。其中,广东环境污染治理效率提升最为显著,相对位置为26.47%,位居榜首。内蒙古环境污染治理效率的增幅最弱,相对位置增幅为6.89%,其余16个省市环境污染治理效率变化不大。2010 - 2020年,居民需要承担的城市污染和环境治理成本变化较大,波动幅度在30%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data technology framework and data utilization for urban environmental pollution management
Urban environmental pollution management is of great practical significance to achieving sustainable urban economic development. To improve the efficiency of urban environmental pollution management, we have established a big data technology framework for urban environmental pollution treatment. The relevant pollution data collected are used for targeted pollution treatment. The results show that the average efficiency of environmental pollution control in the whole province of China has increased from 33.67% to 63.67%, an increase of 46%. Among them, the efficiency of environmental pollution control in Guangdong has increased most significantly, with a relative position of 26.47%, which is at the top of the list. Inner Mongolia has the weakest increase in environmental pollution control efficiency, with an appreciation of 6.89% relative to its position, while the other 16 provinces and cities have little change in environmental pollution control efficiency. between 2010 and 2020, the urban pollution and environmental treatment costs that residents need to bear changed significantly, with fluctuations of around 30%.
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