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模拟水氡自动鼓泡装置初探
引用本文:魏小刚,白雄博,司国兴,王小娟,高曙德.模拟水氡自动鼓泡装置初探[J].西北地震学报,2022,44(3):621-625.
作者姓名:魏小刚  白雄博  司国兴  王小娟  高曙德
作者单位:中国地震局兰州地震研究所
基金项目:中国地震局兰州地震研究所地震科技发展基金野外站基金(2015Y01);中国地震局兰州地震研究所地震科技发展基金项目(KY1803043)
摘    要:长期以来,我国的氡观测一直以模拟水氡观测为主。模拟水氡观测是地震监测预报中前兆观测的重要测项,一直采用定时取样、鼓泡、测值计算及数据入库等一系列人工观测手段。其观测方法落后,且带有较大程度的人为操作误差,使观测数据的质量受到一定程度的影响。“鼓泡”是模拟水氡观测过程的关键环节,鼓泡操作是否规范直接影响水氡测值的准确性。通过对传统模拟水氡鼓泡装置进行改造,研制出一套适用于所有模拟水氡仪器的自动鼓泡装置,解决传统人工鼓泡过程中鼓泡时间与鼓泡速率不规范对水氡测值产生较大干扰的问题。自动鼓泡装置可降低鼓泡操作难度,减少人为操作误差,提高水氡观测资料质量。

关 键 词:水氡观测  自动  鼓泡装置  优化设计

Preliminary study on an automatic bubbling devicefor analog radon observation
WEI Xiaogang,BAI Xiongbo,SI Guoxing,WANG Xiaojuan,GAO Shude.Preliminary study on an automatic bubbling devicefor analog radon observation[J].Northwestern Seismological Journal,2022,44(3):621-625.
Authors:WEI Xiaogang  BAI Xiongbo  SI Guoxing  WANG Xiaojuan  GAO Shude
Institution:Lanzhou Institute of Seismology,CEA,Lanzhou 730000 ,Gansu,China
Abstract:The analog water radon observation is an important measurement item of precursory observation in earthquake monitoring and prediction of China.During the process,a series of ma-nual observation methods,i.e.,regular sampling,bubbling,measured value calculation,and data warehousing are adopted.These observation methods,which are backward and have a large degree of human operation error,will affect the quality of observation data to a certain extent.As a key link in the process of analog water radon observation,the bubbling operation directly affects the accuracy of water radon measurement.In this paper,the traditional analog radon bubbling device was improved,and a set of automatic bubbling device suitable for all types of analog radon instruments was developed,which can solve the problem of large interference to the measured value of water radon caused by the non-standard operation during the process of artificial bubbling.The automatic bubbling device can reduce the difficulty of bubbling operation,reduce man-made ope-ration error,so as to improve the quality of water radon observation data.
Keywords:
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