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空气气溶胶放射性监测数据可视化系统研究 被引量:1

Study on Visualization System of Air Aerosol Radioactivity Monitoring Data
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摘要 空气气溶胶放射性核素和总α、总β活度浓度监测是环境辐射监测中的重要内容,如何直观、实时地展示监测数据变化情况,为用户和决策者提供有效参考是值得研究的重要课题。数据可视化借助图形化手段可清晰有效地传达与沟通信息。本文基于2016~2020年四川省控点监测数据(含:气溶胶放射性核素活度浓度和总α、总β活度浓度),在数据处理的基础上,利用Python语言与Echarts工具结合的可视化绘图库PyEcharts,设计和研究环境辐射监测数据可视化系统。该系统可简洁、美观地展示各监测区域的详细数据以及五年内的变化趋势等信息。在当前严峻的大气环境形势下,环境辐射监测数据可视化系统可为环境辐射评价提供重要的可视分析参考。 The monitoring of air aerosol radionuclides and total α and β activity concentrations is an important part of environmental radiation monitoring.How to display the changes of monitoring data in an intuitive and real-time manner and provide effective reference for users and decision makers is an important topic worthy of study.Data visualization uses graphical means to convey and communicate information clearly and effectively.This work is based on the monitoring data of control points in Sichuan Province from 2016 to 2020(including:aerosol radionuclide activity concentration and total α,total β activity concentration),on the basis of data processing,using PyEcharts which is a visual drawing library combined of Python language and Echarts tool to design and study environmental radiation monitoring data visualization systems.The system can simply and beautifully display the detailed data monitored in each region,the trend of changes in five years and other information.Under the current severe atmospheric environmental quality situation,the environmental radiation monitoring data visualization system can provide an important visual analysis reference for environmental radiation assessment.
作者 周俊宇 曾雄 郑小菁 石睿 Zhou Junyu;Zeng Xiong;Zheng Xiaojing;Shi Rui(Sichuan Management&Monitoring Center Station of Radioactive Environment,Chengdu 610039,China;School of Computer Science and Engineering,Sichuan University of Science&Engineering,Yibin 644005,China)
出处 《皮革制作与环保科技》 2022年第11期67-69,82,共4页 Leather Manufacture and Environmental Technology
基金 四川省科技厅计划项目(2022JDRC0030) 四川轻化工大学大学生创新创业训练计划项目(cx2021075)。
关键词 环境辐射 空气气溶胶 数据可视化 PYTHON PyEcharts environmental radiation air aerosols data visualization Python Pyecharts
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  • 1盛沛茹,支仲骥,李新德,梁维华.全国环境天然放射性水平数据库及其应用[J].辐射防护,1995,15(2):104-110. 被引量:5
  • 2邹国平,邹群,黄铮.基于SDSS的高速公路养护管理系统结构[J].交通运输工程学报,2006,6(3):47-50. 被引量:16
  • 3[1]Harri Toivonen.CTBT/WGB-6/PTS/CRP.11,1998
  • 4[2]高雪玲.陕西环境,1997,4(4):21-25GAO Xueling.Shanxi Environment,1997,4(4):21-25
  • 5[3]谢炜.辐射防护通讯,2000,20(3):29-30XIE Wei.Radioactivity Protection Communication,2000,20(3):29-30
  • 6[4]ZHANG Zilu.Chemical Journal of Chinese Universities (in China),1999,20(5) Supplement:532
  • 7[8]OTTO G.RAABE,McDONALD E.WRENN.Analysis of the activity of radon daughter samples by weighted least squares.Health Physics Pergamon Press,1969(17)593-605
  • 8Tom K. Big Data Is a Big Deal[ EB/OL]. [ 2014-03-21 ]. http ://www. whitehouse, gov/blog/2012/03/29/big - data- big - deal.
  • 9Executive O O T P. Big Data Across the Federal Government [ EB/OL]. [ 2014 - 03 - 21 ]. http://www, whitehouse, gov/ sites/default/files/microsites/ostp/big_data_fact_sheet final_l. pdf.
  • 10Lee Y, Madnick S, Wang RE. A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data~ J]. MIS Quarterly Executive, 2014, 13 (1) : 1-13.

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