大邑观测站搬迁数据对比分析
- 文章编号:
- 2096-1618(2017)增-0090-04
- 摘要:
- 利用2016年大邑县国家一般气象站新旧站的气温、相对湿度、风、深层地温等观测资料进行对比分析,并且从地理位置、周边环境、下垫面要素情况分析差异的原因,从而为大邑气象观测站的观测资料序列延续以及资料的订正提供参考。
参考文献/References:
[1] 中国气象局.地面气象观测规范[M].北京:气象出版社,2007. [2] 刘建洁,周明辉,罗飞海.宁远气象站迁站对比观测数据分析[J].现代农业科技,2010,(20):20-21,26. [3] 许丽景,李海川.青县气象站迁站对比观测数据分析[J].安徽农业科学,2013,41(13):5839-5841,5918. [4] 张劲梅,陈玲.东莞气象观测站搬迁对比观测数据分析[J].广东气象,2008,30(S2).
相似文献/References:
[1]邵梦琪,甘维金,向卫国.2017年初一次四川重污染过程气象条件综合分析[J].成都信息工程大学学报,2018,(02):212.[doi:10.16836/j.cnki.jcuit.2018.02.017]
SHAO Meng-qi,GAN Wei-jin,XIANG Wei-guo.Comprehensive Analysis of Meteorological Conditions inHeavy Pollution Process in Sichuan in Early 2017[J].Journal of Chengdu University of Information Technology,2018,(增刊1):212.[doi:10.16836/j.cnki.jcuit.2018.02.017]
[2]宋雯雯,郭 洁,李亚玲,等.成都电网夏季最大电力负荷变化特征及其与气象要素的关系[J].成都信息工程大学学报,2021,36(03):336.[doi:10.16836/j.cnki.jcuit.2021.03.016]
SONG Wenwen,GUO Jie,LI Yaling,et al.Characteristics of Maximum Power Load and its Relationship with Meteorological Factors during Summer in Chengdu Power Grid[J].Journal of Chengdu University of Information Technology,2021,36(增刊1):336.[doi:10.16836/j.cnki.jcuit.2021.03.016]
[3]田淙海,邓佩云,于万荣,等.山西太长高速公路交通事故与气象条件关系分析[J].成都信息工程大学学报,2021,36(05):532.[doi:10.16836/j.cnki.jcuit.2021.05.010]
TIAN Conghai,DENG Peiyun,YU Wanrong,et al.Analysis of Relationship between High-speed Traffic Accidents and Meteorological Factors on Tai-chang Expressway in Shanxi Province[J].Journal of Chengdu University of Information Technology,2021,36(增刊1):532.[doi:10.16836/j.cnki.jcuit.2021.05.010]
[4]许 晨,蔡欣明,孔卫奇.成都市主城区日供水量的气象相关性分析[J].成都信息工程大学学报,2022,37(05):608.[doi:10.16836/j.cnki.jcuit.2022.05.018]
XU Chen,CAI Xinming,KONG Weiqi.Correlation Analysis on Daily Water Supply and Meteorological Factors in Chengdu City[J].Journal of Chengdu University of Information Technology,2022,37(增刊1):608.[doi:10.16836/j.cnki.jcuit.2022.05.018]
[5]胡孟然,尹 立,赵婉露,等.气象条件对攀枝花地区主要传染病的影响研究[J].成都信息工程大学学报,2022,37(06):690.[doi:10.16836/j.cnki.jcuit.2022.06.012]
HU Mengran,YIN Li,ZHAO Wanlu,et al.Study on the Influence of Meteorological Conditions on Major Infectious Diseases in Panzhihua Area[J].Journal of Chengdu University of Information Technology,2022,37(增刊1):690.[doi:10.16836/j.cnki.jcuit.2022.06.012]