| 阿克达拉大气本底站甲烷浓度特征及影响因素 |
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| 引用本文： | 赵竹君,陆忠奇,何清,王建林.阿克达拉大气本底站甲烷浓度特征及影响因素[J].中国环境科学,2022,42(2):519-527. |
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| 作者姓名： | 赵竹君 陆忠奇 何清 王建林 |
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| 作者单位： | 1. 新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046;2. 中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002;3. 中国气象局阿克达拉大气本底野外科学试验基地, 新疆 阿勒泰 836500;4. 阿克达拉区域大气本底站, 新疆 阿勒泰 836500 |
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| 基金项目： | 第二次青藏高原综合科学考察研究子专题（2019QZKK010206） |
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| 摘 要： | 利用2009～2019年阿克达拉国家大气本底站CH4浓度数据、气象要素数据,使用随机森林模型、后向轨迹模型聚类分析方法对其CH4浓度变化特征和影响因素进行分析.结果表明,10a间阿克达拉站CH4浓度增长明显,年平均浓度为(1934.30±30.94)x10-9,平均增长率0.45％;季节变化呈现秋冬高、春夏低的特征,冬...
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| 关 键 词： | 阿克达站 CH4 聚类分析 随机森林模型 |
| 收稿时间： | 2021-07-15 |
Study on the concentration variation and impact factors of CH4 in Akedala atmospheric background station |
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| ZHAO Zhu-jun,LU Zhong-qi,HE Qing,WANG Jian-lin.Study on the concentration variation and impact factors of CH4 in Akedala atmospheric background station[J].China Environmental Science,2022,42(2):519-527. |
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| Authors: | ZHAO Zhu-jun LU Zhong-qi HE Qing WANG Jian-lin |
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| Institution: | 1. College of Resources & Environmental Sciences, Xinjiang University, Urumqi 830046, China;2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;3. Field Scientific Experiment Base of Akedala Atmospheric Background, China Meteorological Administration, Altay 836500, China;4. Akedala Atmospheric Background Station, Altay 836500, China |
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| Abstract: | The observation data of CH4 concentrations and meteorological elements of Akedala station from 2009 to 2019 were used to analyze the CH4 concentration changes and influencing factors using random forest model and backward trajectory model with clustering analysis methods. The results showed that the CH4 concentrations at Akedala station increased significantly during the recent 10yaers with an annual average concentration of (1934.30±30.94)×10-9 and an average growth rate of 0.45%. The seasonal changes showed high CH4 in autumn and winter and low CH4 in spring and summer, with winter (1973.77±36.72)×10-9>autumn (1935.86±36.14)×10-9>spring (1922.36±26.38)×10-9>summer (1920.92±29.82)×10-9. The CH4 concentration change at Akedala station is influenced by a combination of meteorological factors, with air temperature and relative humidity playing the dominant roles. Backward trajectory clustering analysis based on HYSPLIT model driven by GDAS meteorological data reveals that air mass movement to Akedala station is mostly along the northwestern path paralleling to the Valley of Erchez River, and passing through Alashankou and Old Wind Pass. In addition, the low movement speed in autumn and winter as well as its high speed in spring and summer could affect the seasonal variation of CH4 concentrations. |
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| Keywords: | Akedala station CH4 cluster analysis random forest model |
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