地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (7): 872-879.doi: 10.3724/SP.J.1047.2017.00872

• 地球信息科学理论与方法 • 上一篇    下一篇

电磁地理环境监测数据空间插值方法

王梦艺1,2,3(), 盛业华1,2,3,*(), 黄一昀4, 吕海洋1,2,3, 黄毅1,2,3   

  1. 1. 南京师范大学虚拟地理环境教育部重点实验室,南京 210023
    2. 江苏省地理环境演化国家重点实验室培育建设点,南京 210023
    3. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
    4.江苏省工程勘测研究院有限责任公司,扬州 225100
  • 收稿日期:2016-12-27 修回日期:2017-05-08 出版日期:2017-07-10 发布日期:2017-07-10
  • 通讯作者: 盛业华 E-mail:monniewang@163.com;shengyehua@njnu.edu.cn
  • 作者简介:

    作者简介:王梦艺(1993-),女,硕士生,研究方向为地理环境分析与表达。E-mail:monniewang@163.com

  • 基金资助:
    国家自然科学基金项目(41631175、41271383)

Spatial Interpolation Method of Electromagnetic Geographical Environment Monitoring Data

WANG Mengyi1,2,3(), SHENG Yehua1,2,3,*(), HUANG Yiyun4, LV Haiyang1,2,3, HUANG Yi1,2,3   

  1. 1. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
    2. State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    4. Jiangsu Province Engineering Investigation and Research Institute CO., LTD, Yangzhou 225100, China;
  • Received:2016-12-27 Revised:2017-05-08 Online:2017-07-10 Published:2017-07-10
  • Contact: SHENG Yehua E-mail:monniewang@163.com;shengyehua@njnu.edu.cn

摘要:

电磁地理环境无所不在,电磁环境的“时间、空间、频率”特征进行监测与分析对于评估电磁地理环境对人类的日常生产生活的影响具有十分重要的现实意义。目前电磁辐射数据的获取方法和空间化表达的研究非常有限。电磁现象有着自身的空间传播与衰减特性,传统的空间插值方法并不适用于电磁现象的空间化表达。全频段车载电磁环境监测系统沿道路密集采集获取不同频段电磁辐射强度信息,需要对其进行空间插值才能刻画其二维空间的分布特征,本文根据电磁波空间传播规律,提出并实现了基于电磁辐射传播模型的电磁环境空间插值方法,对车载移动电磁环境监测系统获取的数据进行空间化处理,并将该方法与常用的IDW和Ordinary Kriging空间插值方法进行实验对比分析。实验结果表明,本文方法比其它空间插值方法更适合于电磁地理环境数据的空间化表达。

关键词: 电磁环境, 电磁辐射, 空间插值

Abstract:

Human beings live in a ubiquitous electromagnetic geographical environment. To evaluate how the electromagnetic environment influence human's daily life, it is significant to monitor and analyze the temporal, spatial and frequent characteristics of electromagnetic environment. At present, only a few studies focus on data acquisition methods and spatial representation of electromagnetic radiation. Traditional spatial interpolation methods are effective means for representing spatial distribution patterns of geographical phenomenon and have been widely used in various academic fields. However, these spatial interpolation methods are not suitable for representing electromagnetic phenomenon because of its unique characteristics of spatial propagation and attenuation. Electromagnetic environment monitoring system of full band vehicle can collect dense spatial samples of electromagnetic radiation intensity data when the car is driving along the roads and streets. However, sampling data cannot describe the spatial pattern in the whole region. To describe the spatial distribution pattern at regional scale, it is necessary to interpolate the collected electromagnetic data into the whole research area. According to the electromagnetic radiation propagation law, we proposed and implemented a new spatial interpolation method based on electromagnetic radiation propagation model. Using this interpolation method, sampling data are interpolated in the entire region to implement the spatialization representation of electromagnetic radiation field. Also, the new spatial interpolation method is compared with two traditional spatial interpolation approaches, i.e. IDW and Kriging. Experimental results indicated that the proposed method is more suitable for the reconstruction of electromagnetic radiation field than other spatial interpolation methods.

Key words: electromagnetic environment, electromagnetic radiation, spatial interpolation