Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:Yuan Li,Ye-Hao Song,Akashi Mochida,Tsubasa Okaze.WRF Environment Assessment in Guangzhou City with an Extracted Land-use Map from the Remote Sensing Data in 2000 as an Example[J].Journal of Harbin Institute Of Technology(New Series),2014,21(5):26-32.DOI:10.11916/j.issn.1005-9113.2014.05.005.
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 1073times   downloaded 1340times 本文二维码信息
码上扫一扫!
Shared by: Wechat More
WRF Environment Assessment in Guangzhou City with an Extracted Land-use Map from the Remote Sensing Data in 2000 as an Example
Author NameAffiliation
Yuan Li School of Architecture, Tsinghua University, Beijing 100084, China 
Ye-Hao Song School of Architecture, Tsinghua University, Beijing 100084, China
Key Laboratory of Eco Planning & Green Building, Ministry of Education,Tsinghua University, Beijing 100084,China 
Akashi Mochida Department of Engineering, Tohoku University, Miyagi 980-8579, Japan 
Tsubasa Okaze Department of Engineering, Tohoku University, Miyagi 980-8579, Japan 
Abstract:
Mesoscale urban environment forecast combined with WRF is a current frontier in international academic. Taking Guangzhou as an example, the new land-use model presented by the present authors, the existing USGS and MODIS models in WRF were firstly compared to the remote sensing model in this article. The comparison result shows that the land-use model presented by the authors has the highest similarity with the remote sensing data. Secondly, the new land-use model was used to replace the defaulted land-use data in WRF for simulation. By comparing this simulation results with the WRF results using the defaulted USGS and MODIS model, it was showed that the geographic models have a great impact on the mesoscale environment forecast result. Also, the geographic information model presented in this article shows the best accuracy when comparing with the observation data. Results in this study are going to be an important reference in the contemporary international forefront of mesoscale urban environment studies by WRF.
Key words:  mesoscale environmental assessment  WRF model  remote sensing
DOI:10.11916/j.issn.1005-9113.2014.05.005
Clc Number:TU1
Fund:

LINKS