成都双流和天府两机场RVR时空分布统计分析
Runway-End Differences of RVR at Chengdu Shuangliu and Tianfu Airports
摘要: 通过分析双流、天府机场多跑道运行下各跑道端RVR特征,对标管制和航司精细服务需求,为预警信息发布以及航班起降调度提供参考,为改扩建工程观测平台选址提供理论依据。选取双流机场2019~2023年、天府机场2021~2023年自动观测资料,以RVR < 1500 m过程为样本,按300 m、550 m阈值分级,开展距平与持续时间相关分析。结果显示双流机场东跑道低值更集中,西跑道呈“南低北高”;天府机场R29与MID_29_11低值占比偏高,低RVR多在夜间。天气系统及微地形影响下,多跑道机场各端RVR要素时空分布存在差异,报文发布、预警预报以及航班起降决策中,可引入跑道端差异约束。
Abstract: Analyzes the RVR differences at runway ends under multi-runway operations at Chengdu Shuangliu and Chengdu Tianfu airports, providing references for flights takeoff/landing scheduling, and offering a theoretical basis for observation-site selection in airport expansion and reconstruction projects. Automatic observation data from Shuangliu Airport (2019~2023) and Tianfu Airport (2021~2023) were selected. RVR < 1500 m events were used as samples, statistics were compiled by thresholds of 300 m and 550 m, and anomaly (departure-from-mean) as well as duration-based correlation analyses were conducted. At Shuangliu Airport, low RVR values are more concentrated on the east runway, while the west runway shows a “south lower, north higher” pattern; at Tianfu Airport, R29 and MID_29_11 have relatively high proportions of low values, and conditions are worse at night. Under the influence of mesoscale weather systems and local terrain, the spatiotemporal distribution of RVR elements across runway ends differs. Runway-end differences can be incorporated as constraints in weather message issuance, meteorological warning/forecasting, and flight takeoff/landing decision-making to improve operational efficiency.
参考文献
|
[1]
|
申红喜, 沈宏彬, 刘丽霞. 我国多跑道运行下的航空气象服务[J]. 中国民航飞行学院学报, 2014, 25(2): 50-52, 56.
|
|
[2]
|
ICAO (2018) Annex 3—Meteorological Service for International Air Navigation (20th ed.). ICAO.
|
|
[3]
|
Vislocky, R.L. and Fritsch, J.M. (1997) An Automated, Observations-Based System for Short-Term Prediction of Ceiling and Visibility. Weather and Forecasting, 12, 31-43. [Google Scholar] [CrossRef]
|
|
[4]
|
Terradellas, E. and Cano, D. (2007) Implementation of a Single-Column Model for Fog and Low Cloud Forecasting at Central-Spanish Airports. Pure and Applied Geophysics, 164, 1327-1345. [Google Scholar] [CrossRef]
|
|
[5]
|
Gultepe, I., Tardif, R., Michaelides, S.C., Cermak, J., Bott, A., Bendix, J., et al. (2007) Fog Research: A Review of Past Achievements and Future Perspectives. Pure and Applied Geophysics, 164, 1121-1159. [Google Scholar] [CrossRef]
|
|
[6]
|
马晓刚, 罗思维, 舒海燕, 等. 中国典型大雾落区基本概念模型的研究与建立[J]. 气象与环境学报, 2013, 29(1): 62-67.
|
|
[7]
|
张涛. 基于多种资料对成都辐射平流雾生消机理分析[J]. 气象科技, 2019, 47(1): 70-78.
|
|
[8]
|
刘小渝. 成都市民航气象行业标准下的低能见度时空分布特征研究[J]. 高原山地气象研究, 2014, 34(1): 57-61.
|
|
[9]
|
《民用航空气象地面观测规范》(AP-117-TM-2021-01R2)民航规[2021] 43号[Z/OL]. http://www.caac.gov.cn/XXGK/XXGK/GFXWJ/202112/t20211231_210719.html, 2021-12-15.
|