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摘要:
Assessment and analysis of ecological carrying capacity are significant issues in regional sustainable development.Large-scale ecological carrying capacity research consume a lot of time and labor costs.In this paper,considering redundant storage,on-demand computing,and multi-scale representation,a block storage and analysis model(BSAM)is proposed to make computation faster.Taking“The Belt and Road Initiative”as an example,the ecological carrying capacity evaluation system(ECCES)was developed.The results show that the problems of low calculation efficiency and high time cost were effectively solved with improved data storage,analysis,and expression approaches used by the ECCES.And the calculation speed is improved with the BSAM.Moreover,in the BSAM,the complexity of the original data is under a more significant impact on computing speed.In contrast,the complexity of an algorithm has a smaller influence on computing speed.Furthermore,the early warning push function and automated report function can generate the ecological carrying capacity states or changes automatically,which can improve the real-time,usability,and convenience of the ecological carrying capacity assessment.
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篇名 Research on Block Storage and Analysis Model for Belt and Road Initiative Ecological Carrying Capacity Evaluation System
来源期刊 国际计算机前沿大会会议论文集 学科 工学
关键词 Sustainable development Multi-scale expression Tile storage Ecological carrying state Level of detail
年,卷(期) 2020,(2) 所属期刊栏目
研究方向 页码范围 354-368
页数 15页 分类号 TP3
字数 语种
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研究主题发展历程
节点文献
Sustainable
development
Multi-scale
expression
Tile
storage
Ecological
carrying
state
Level
of
detail
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际计算机前沿大会会议论文集
半年刊
北京市海淀区西三旗昌临801号
出版文献量(篇)
616
总下载数(次)
6
总被引数(次)
0
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