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Impact of land cover transformation on urban heat islands in Harbin, China

  • Stephen Dauda Yabo
  • , Donglei Fu
  • , Bo Li
  • , Xiaofei Shi
  • , Samit Thapa
  • , Xie Shengjin
  • , Lu Lu
  • , Hong Qi*
  • , Wei Zhang*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Environment, Harbin Institute of Technology
  • Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem (HPKL-PEE)
  • Ahmadu Bello University
  • CASIC Space Engineering Development Co., Ltd.
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

At the local and regional climate scale, one of the most studied environmental issues is urban heat island (UHI). UHI is a thermal anomaly caused by temperature differences between urban and rural settings, which adds heat to the atmosphere and makes people feel uncomfortable. This study explores the influence of new land-cover data on UHI simulations using the high-resolution Weather Research and Forecasting (WRF) model coupled with the single-layer urban canopy model (SLUCM) in the city of Harbin. A comparison was performed between the new Tsinghua University (TU) land cover dataset with the default United States Geological Survey (USGS) and Moderate Resolution Imaging Spectroradiometer (MODIS) land cover datasets. The results of this study revealed that the new TU land cover data had better representation and more realistic land cover changes than the default datasets. The diurnal, seasonal, and long-term nighttime UHIs of air and surface temperatures were higher than the daytime UHIs for both downtown Harbin and the satellite towns. We discovered that coal-burning during winter had a significant influence on UHI in Harbin. Moreover, the results from our buffer revealed a rapid increase in the UHIs of satellite towns, thus revealing the need to focus on the effects of UHI in satellite towns in the future. Therefore, the timely updating of land cover datasets in the WRF model and implementing mitigation strategies will help improve the urban climatic comfort.

Original languageEnglish
Article number453
JournalEnvironmental Monitoring and Assessment
Volume194
Issue number6
DOIs
StatePublished - Jun 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Land-cover changes
  • Single-layer urban canopy model
  • Surface energy fluxes
  • Urban heat islands
  • Weather research and forecasting model

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