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| Discussion on Operational Extreme Value and Statistical Method of Mohe Low Temperature |
| Received:April 09, 2021 Revised:May 31, 2021 |
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| DOI：10.7643/issn.1672-9242.2021.09.019 |
| KeyWord:Mohe low-temperature operational extreme values harsh month time risk rate base condition environmental adaptability |
| Author | Institution |
| ZHANG Xian-yong |
Southwest Institute of Technology and Engineering, Chongqing , China;Mohe National Field Scientific Observation & Research Station on Materials Corrosion in Atmospheric Environment, Mohe , China |
| TANG Qi-huan |
Southwest Institute of Technology and Engineering, Chongqing , China |
| ZHANG Yan |
Southwest Institute of Technology and Engineering, Chongqing , China |
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| Abstract: |
| This paper aims to improve the accuracy of low temperature operational extreme value statistics in Mohe test station and promote the application of low temperature operational extreme value in equipment low temperature environmental adaptability assessment. Based on the lowest temperature, average temperature and days below –35 ℃, the low temperature operational extreme values of Mohe in different years are counted respectively, and the effects of base conditions, statistical years and data missing on the determination of harsh months and operational extreme values are studied. Base conditions, statistical years, data missing will affect the determination of harsh months and the statistics of low temperature operational extreme values. The influence of statistical year is greater than that of base condition. The severity of the influence caused by data missing depends on the amount and time period of data missing. The results of operational extreme values include at least data years, base conditions, harsh months, time risk rates, operational extreme values corresponding to time risk rates, etc. From 1991 to 2005, the lowest temperature operational extreme values with the time risk rates of 1%, 5%, 10%, 20% and 30% were –44.0, –40.7, –38.1, –35.6 and –33.6 ℃ respectively. |
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