时空连续数据支持下的空域资源配置研究：评述与展望

doi:10.11867/j.issn.1001-8166.2019.09.0912

地球科学进展 ›› 2019, Vol. 34 ›› Issue (9): 912 -921. doi: 10.11867/j.issn.1001-8166.2019.09.0912

张一诺 ^1, ²(

),路紫 ^1, ²(

),杜欣儒 ^1, ²,董雅晴 ^1, ²,张菁 ^1, ²

1. 河北师范大学资源与环境科学学院，河北石家庄 050024
2. 河北省环境演变与生态建设实验室，河北石家庄 050024

收稿日期:2019-04-22 修回日期:2019-07-12 出版日期:2019-09-10
通讯作者: 路紫 E-mail:zh_yinuo@126.com;luzi1960@126.com
基金资助:
国家自然科学基金项目“数据通信支持的空域资源配置模型与机制”(41671121)

Research on Airspace Resource Allocation Supported by Spatiotemporal Continuous Data: Review and Prospect

Yinuo Zhang ^1, ²( ),Zi Lu ^1, ²( ),Xinru Du ^1, ²,Yaqing Dong ^1, ²,Jing Zhang ^1, ²

1. College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050024, China
2. Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China

Received:2019-04-22 Revised:2019-07-12 Online:2019-09-10 Published:2019-11-15
Contact: Zi Lu E-mail:zh_yinuo@126.com;luzi1960@126.com
About author:Zhang Yinuo (1995-), female, Hengshui City, Hebei Province, Master student. Research areas include information economy geography. E-mail: zh_yinuo@126.com
Supported by:
the National Natural Science Foundation of China “The model and mechanisms of airspace configuration supported by data communication”(．41671121)

全文 ( 7 ) 下载PDF ( 1344 )

固定的空中交通运行系统和功能已难以适应航路结构和空域需求的巨大变化，这引发了空域资源配置由静态为主向灵活动态的演进，时空连续数据的挖掘和应用支持了这个过程。综述近些年国内外相关研究成果可见：从基础要素的多维度表达到具体空域单元的特征分析均向实时方向深化与拓展并表现出新机制；引进时间参数开发了系列高密度航空流识别方法并与飞行路径跨时空模型相结合形成鲜明的动态特色；相关应用与实践均体现出空域资源配置的结构性革命，推动了空域拥堵、航班延误与资源分配等现实问题的解决。国外动态空域资源配置研究与实践对我国具有积极的借鉴意义。然而，在同时应对空侧能力发挥和多维度参数变化时，仍然面临时段—航段匹配、微观—宏观结合、终端空域—飞行航路对接、空域—地域一体化等方面的挑战。未来，地理学需进一步发挥自身优势，构建新的空域研究对象并深度开展研究工作。

关键词: 空域资源配置, 时空连续数据, 航空流, 地理学

Given that the fixed air traffic operation system and functions are difficult to adapt to the great changes of air route structure and airspace demand, the airspace resource allocation is undergoing an evolution from static to flexible and dynamic so as to effectively solve the contradiction between airspace capacity and actual demand. In this process, the dependence on spatiotemporal continuous data is gradually strengthened. This article reviewed the relevant national and international research, and found that from the multi-dimensional expression of basic elements to the feature analysis of specific airspace units, airspace resource allocation deepens and expands in a real-time direction and presents a new mechanism. A series of high density air traffic flow identification methods are developed by introducing time parameters and combined with the flight path model to form a distinct dynamic characteristic. Related applications and practice reflect the structural revolution of airspace resource allocation and promote the solution of practical problems such as airspace congestion and resource allocation. The research and practice of dynamic airspace resource allocation outside China have positive reference significance to our country. However, when simultaneously coping with the hoisting of airside capability and the change of multi-dimensional parameters, we still face the challenges of period-segment matching, micro-macro combination, terminal airspace-air route docking and airspace-land area integration. In the future, geography should further integrate the unique advantages of spatiotemporal interaction and construct a brand-new overall mobile chain of various airspace-land scales to carry out research work deeply.

Key words: Airspace resource allocation, Spatiotemporal continuous data, Air traffic flow, Geography

中图分类号:

P967

图1 文献学科分布以及数量变化

Fig. 1 Literature type distribution and literature quantity change

图2 关键词频率及其共现关系图谱

Fig.2 Key words frequency and co-occurrence relation graph

图3 连续时间周期内不同空域单元高密度航空流识别
(a)日内24 h京广空中廊道繁忙时段/航段识别(据参考文献[ 37 ]修改)；(b) 1 h内北京首都机场终端空域热区识别；(c) 1 h内3个连续时段京津石MAS航空流集簇识别

Fig.3 High density air flow identification of different airspace units in continuous time period
(a)The identification of congestion period/segment in Beijing-Guangzhou corridor-in-the-sky within 24 h of a day (modified after reference [ 37 ]); (b)The identification of airspace hot zone at the terminal of Beijing capital airport within 1 h; (c)The identification of air traffic flow clusters at Beijing-Tianjin-Shijiazhuang MAS in three consecutive periods within 1 h

图4 连续时间周期中MAS抵离航班位置变化的极坐标直方图(据参考文献[ 29 ]修改)

①

http://www.gov.cn/xinwen/2017-02/16/content_5168506.htm, 三部门印发中国民用航空发展第十三个五年规划.

②

https://www.icao.int/APAC/Meetings/2016 CIVMILIND/Presentation 10- Air Traffic Flow Management and Flexible Use of Airspace (AAI).pdf.

③

http://www.gov.cn/xinwen/2017-02/16/content_5168506.htm, 三部门印发中国民用航空发展第十三个五年规划.

Fig.4 Histogram of polar coordinates of changes in MAS arrival and departure flight positions in continuous time period (modified after reference[ 29 ])

图4 连续时间周期中MAS抵离航班位置变化的极坐标直方图(据参考文献[ 29 ]修改)

①

http://www.gov.cn/xinwen/2017-02/16/content_5168506.htm, 三部门印发中国民用航空发展第十三个五年规划.

②

https://www.icao.int/APAC/Meetings/2016 CIVMILIND/Presentation 10- Air Traffic Flow Management and Flexible Use of Airspace (AAI).pdf.

③

http://www.gov.cn/xinwen/2017-02/16/content_5168506.htm, 三部门印发中国民用航空发展第十三个五年规划.

Fig.4 Histogram of polar coordinates of changes in MAS arrival and departure flight positions in continuous time period (modified after reference[ 29 ])

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