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Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao
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作者 SUI Xiaotong WANG Xiaohua ZHAO Lingdi 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2020年第6期1846-1857,共12页
The China National Blue Bay Remediation Action Plan(NBBRAP)is a crucial step towards achieving the overall goal of building a maritime power and a beautiful ocean.This paper presents the resource-environment-economy(R... The China National Blue Bay Remediation Action Plan(NBBRAP)is a crucial step towards achieving the overall goal of building a maritime power and a beautiful ocean.This paper presents the resource-environment-economy(REE)composite system from the three-dimensional perspective of REE.Especially,through the coordination degree model of the composite system based on the order degree of subsystems,empirical analysis of the coordination degree of the REE composite system in a typical coastal city Qingdao from 2005 to 2016 was carried out.Results indicate that the degree of coordination and interactive coordination of the REE composite system in Qingdao were in a low-quality state.Qingdao's economy development depended largely on the expense of over-exploitation of resources and environmental degradation in 2013-2015.Government policy implementation was less persistent in 2009-2010 and 2011-2013.The immediate stimulating effect was significant,making the coordination degree of the REE composite system fluctuate in a volatile manner.Analysis of the coordination degree of the REE composite system has practical guiding significance for the successful implementation attainment of the NBBRAP target in Qingdao and is conducive to deepening the learning and promotion of this plan in other coastal cities. 展开更多
关键词 China National Blue Bay remediation Action Plan resource-environment-economy coordination
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Inexact dynamic optimization for groundwater remediation planning and risk assessment under uncertainty
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《Global Geology》 1998年第1期22-23,共2页
关键词 Inexact dynamic optimization for groundwater remediation planning and risk assessment under uncertainty
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