###
计算机系统应用:2020,29(5):69-75
←前一篇   |   后一篇→
本文二维码信息
码上扫一扫!
基于大数据的水生态承载力分析模型
(1.中国科学院 沈阳计算技术研究所, 沈阳 110168;2.中国科学院大学, 北京 100049;3.辽宁省生态环境监测中心, 沈阳 110161)
Water Ecological Carrying Capacity Analysis Model Based on Big Data
(1.Shenyang Insititue of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.Ecological Environment Monitoring Center of Liaoning Province, Shenyang 110161, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 99次   下载 84
投稿时间:2019-10-07    修订日期:2019-10-29
中文摘要: 随着科学技术的发展,水文信息数据量发生了巨大的增长,如何充分利用这些支持决策的大规模数据,是当前科学家面临一个大问题.传统的水生态承载力分析计算复杂多样,涉及的数据种类多样,扩展性不强,注重于理论研究和分析,本文通过研究历史数据,分析影响水生态承载力的因素,将数据划分为3个指标层,提出一种基于大数据的水生态承载力分析模型(ECCBD).利用Hadoop集群的HDFS分布式文件系统实现水生态数据的备份存储,利用MapReduce实现海量水生态数据的并行计算.通过输出值与水生态承载力对比,判断水资源是否盈余或赤字,本文提出的方法和模型能够从压力、承载力、弹性力3个不同的指标层有效分析水生态环境现况,对提供水生态保护依据上有重要意义.
Abstract:With the development of science and technology, the volume of hydrological information data has increased tremendously, how to make full use of these large-scale data to support decision-making is a big problem for scientists at present. Traditional water ecological carrying capacity analysis and calculation are complex and diverse, involving various types of data, with unsatisfied expansion, and focus on theoretical research and analysis. This work studies historical data, analyzes the factors affecting water ecological carrying capacity, divides the data into three layers, and proposes an analysis model of water Ecological Carrying Capacity based on Big Data (ECCBD). HDFS distributed file system of Hadoop cluster is used to implement the backup and storage of water ecological data, and MapReduce is used to implement the parallel computation of massive water ecological data. By comparing the output value with the water ecological carrying capacity, determining whether the water resources are surplus or deficit, the method and model proposed in this study can effectively analyze the current status of the aquatic environment from three different index layers: pressure, bearing capacity, and elasticity, it is of great significance to provide a basis for water ecological protection.
文章编号:     中图分类号:    文献标志码:
基金项目:国家科技重大专项(18ZX07601001)
引用文本:
周晓磊,房萌,刘枢,姜秋俚,金继鑫,宋春梅,陈月,王兴刚,毛立爽.基于大数据的水生态承载力分析模型.计算机系统应用,2020,29(5):69-75
ZHOU Xiao-Lei,FANG Meng,LIU Shu,JIANG Qiu-Li,JIN Ji-Xin,SONG Chun-Mei,CHEN Yue,WANG Xing-Gang,MAO Li-Shuang.Water Ecological Carrying Capacity Analysis Model Based on Big Data.COMPUTER SYSTEMS APPLICATIONS,2020,29(5):69-75

用微信扫一扫

用微信扫一扫