基于地理加权回归张力样条函数的广西PM2.5浓度插值
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

P951; P413

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Regional PM2.5 Concentration Interpolation Based on GWR-TSF
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    近年来,大气环境污染日趋严重。针对广西地区PM2.5污染情况,利用广西气象站数据通过反距离加权插值得到广西地区空气质量监测站的气象数据,然后结合空气质量监测站数据及其气象数据插值结果建立地理加权回归张力样条函数(GWR-TSF)插值模型,并用该模型进行广西PM2.5浓度插值分析。研究结果表明,GWR-TSF模型的PM2.5浓度插值效果较好,其均方根误差为2.34μg/m3,较普通克里金(OK)模型和地理加权回归(GWR)模型分别提高了20.68%和25.71%;而平均绝对误差为2.13μg/m3,较OK模型和GWR模型分别提高了20.22%和11.62%,对区域PM2.5监测预警具有一定的参考价值。

    Abstract:

    In recent years, air environmental pollution is becoming more and more serious. Aiming at the PM2.5 pollution in Guangxi, using the data of Guangxi weather station, the meteorological data of Guangxi air quality monitoring station were obtained by inverse distance weighted interpolation. Then, combining the data of air quality monitoring station and its results of meteorological data interpolation, the model of geographically weighted regression tension spline function (GWR-TSF) interpolation was established and used for PM2.5 concentration interpolation analysis in Guangxi. The results show that the GWR-TSF model has a good effect of PM2.5 concentration interpolation, and its root mean square error is 2.34μg/m3, which is 20.68% and 25.71% higher than that of ordinary Kriging (OK) model and geographically weighted regression (GWR) model, respectively. The mean absolute error of GWR-TSF is 2.13μg/m3, which is 20.22% and 11.62% higher than that of OK and GWR model, respectively; which has certain reference value for regional PM2.5 monitoring and early warning.

    参考文献
    相似文献
    引证文献
引用本文

谢劭峰,魏朋志,黄良珂,等. 基于地理加权回归张力样条函数的广西PM2.5浓度插值[J]. 科学技术与工程, 2021, 21(21): 8807-8813.
Xie Shaofeng, Wei Pengzhi, Huang Liangke, et al. Regional PM2.5 Concentration Interpolation Based on GWR-TSF[J]. Science Technology and Engineering,2021,21(21):8807-8813.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2020-09-05
  • 最后修改日期:2021-04-30
  • 录用日期:2021-01-29
  • 在线发布日期: 2021-08-11
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注