| 浦口霾日突变影响因素分析 |
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| 引用本文： | 陈其旭.浦口霾日突变影响因素分析[J].农学学报,2018,8(8):38-43. |
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| 作者姓名： | 陈其旭 |
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| 作者单位： | 南京市浦口区气象局 |
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| 基金项目： | “浦口智慧气象防灾系统”(PKZC-2015GK-L006)。 |
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| 摘 要： | 【研究目的】为探寻霾日异常变化原因，分析霾判别标准的改变、能见度自动观测和人为因素等对霾日的影响。【方法】利用线性倾向估计、累积距平、M-K检验、滑动t检验等统计诊断方法对近37年霾日进行统计分析。【结果】结果表明：1981年以来，浦口霾日共发生5次明显突变，突变点分别是1988年、2000年、2007年、2011年和2016年，除2016年之外，其他突变点都与影响因素变化有关。2007年之前影响霾日的因素主要是人为因素和观测环境的变化，其中，1988—1999年因人为因素影响，霾日数据已不具有使用价值；2007年开始霾判别标准的改变和能见度自动观测对霾日影响最为明显。【结论】2016年之前，霾日突变点与影响因素变化时间基本吻合，表明不同影响因素在不同时间段对霾日的影响比气象条件和空气质量更加显著。
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| 关 键 词： | 甜瓜 甜瓜 果皮颜色 遗传分析 基因定位 BSA |
| 收稿时间： | 2018/4/2 0:00:00 |
| 修稿时间： | 2018/6/26 0:00:00 |
Haze Days in Pukou: Influence Factors on the Mutation |
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| Abstract: | The paper aims to find the abnormal change reasons of the haze days and to analyze the effects of the change of criteria, the use of automatic observation of visibility and human activities on haze days. The author analyzed the data of haze days from 1981 to 2017 by the methods of linear tendency, accumulative anomaly, M-K test, and slide t test. The results showed that: there were 5 obvious mutations of haze days in Pukou since 1981, which were 1988, 2000, 2007, 2011 and 2016; except 2016, all the other mutation points were related to the change of influence factors of haze day. Before 2007, the main factors affecting mutation were human activities and the change of observed environment; thereinto, the data of haze days had no use value due to the influence of human factors during 1988-1999; the change of haze criterion and the automatic visibility observation had the most obvious effect on haze days at the beginning of 2007; before 2016, the mutation points of haze days coincided with the change time of the influence factors, indicating that the effects of different factors on haze days in different time periods were more significant than that of meteorological
conditions and air quality. |
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| Keywords: | Smoggy characteristics Mutation Influencing factor |
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