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Environmental indicators of sustainable computing applications for Smart City
Author(s) -
Zhang Yan,
Pu Haitao
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4751
Subject(s) - sustainable development , environmental sustainability index , china , urbanization , industrialisation , index (typography) , environmental quality , environmental planning , government (linguistics) , business , environmental resource management , environmental governance , sustainability , environmental economics , environmental pollution , quality (philosophy) , corporate governance , environmental protection , environmental science , geography , computer science , economic growth , political science , economics , philosophy , law , ecology , linguistics , archaeology , world wide web , biology , epistemology , finance
Summary In the past decades, China has experienced rapid industrialization and urbanization, which has caused severe environmental pollution issues and hampered the sustainable development. To cope with these problems, a plethora of environmental protection policies has been presented by the Chinese government. Thus, determining the most reasonable environmental performance indicators is becoming an essential requirement for evaluating the effectiveness and efficiency of governmental management policy to the sustainable development of the ecological system. In this paper, we propose a group of environmental indicators including air quality index, water quality index, and soil quality index that are constructed specifically for evaluating the severity of environment pollution, and the implementation of corresponding governance policy as the pollution issue is one of the most severe risks to population health among all of the current existing problems in China. The proposed indicators are composed of the indices, which were selected by leveraging on the data acquired from China National Bureau of Statistics. Based on the proposed environmental quality indicators, we provide recommendations of governmental policy for improving the environmental performance in mining regions.