Research on Block Storage and Analysis Model for Belt and Road Initiative Ecological Carrying Capacity Evaluation System

Abstract

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.