“一带一路”地区生态承载力评估系统设计与实现

Design and Implementation of Ecological Carrying Capacity Evaluation System for the Belt and Road Initiative Based on Block Storage and Analysis

生态承载力评估需要多源海量数据支撑,耗费大量时间成本与人力成本。该文以“一带一路”地区为例,以冗余存储、按需计算、多尺度表达为主要手段,提出了栅格数据区块存储与分析方法,并开发了生态承载力评估系统架构,实现了多种数据的存储、分析和表达,解决了大范围生态承载力评估中低效率、高成本等问题。栅格数据区块存储与分析方法可有效提高生态承载力评估效率,并在用户所需尺度上快速展现生态承载力评估结果,且该方法中算法的空间复杂度对运算速度影响较大,而时间复杂度对运算速度影响较小;预警推送和自动化报表功能可快速生成生态承载力状态及其变化结果,从而提高生态承载力评估的实时性、高效性和便捷性。

Assessment and analysis of ecological carrying capacity is one of the significant issues in the study of regional sustainable development.Large-scale ecological carrying capacity research will consume a lot of time and labor costs,because it requires the support of massive data with multiple sources.Therefore,this study takes the Belt and Road Initiative as an example,taking redundant storage,on-demand computing and multi-scale representation as the primary means,proposes an Approach of Storing and Analyzing Raster Data Blocks(ASARDB),and develops a Framework of Evaluating Ecological Carrying Capacity System(FEECCS).The results are as follows:1)Many kinds of data storage,analysis and expression methods for assessment were used by the FEECCS,which effectively solves the problems of low calculation efficiency and high time cost of large-scale ecological carrying capacity assessment;2)The ASARDB can effectively improve the calculation speed of ecological carrying capacity assessment.Moreover,the space complexity of the algorithm has a more significant impact on the computing speed of the ASARDB,while the time complexity of the algorithm has a smaller impact on the computing speed of the ASARDB;3)The functions of early warning push and automated report can generate the states or changes of ecological carrying capacity which scientific researchers and end-users′needs automatically,which can improve the real-time,high efficiency and convenience of the carrying capacity assessment.