Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data AbstractThe aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Valahia University of Targoviste, Geographical Series de Gruyter

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

Download PDF
9 pages

Loading next page...
 
/lp/degruyter/spatial-hotspot-analysis-of-bucharest-s-urban-heat-island-uhi-using-Qfeh0vZWZF
Publisher
de Gruyter
Copyright
© 2018 Georgiana Grigoraș, published by Sciendo
eISSN
2393-1493
DOI
10.2478/avutgs-2018-0002
Publisher site
See Article on Publisher Site

Abstract

AbstractThe aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

Journal

Annals of Valahia University of Targoviste, Geographical Series – de Gruyter

Published: Apr 1, 2018

References

  • The summer surface urban heat island of retrieved from MODIS images https org
    Cheval
  • The urban heat island of Bucharest as derived from modis images https org
    Cheval
  • The distinction between canopy and boundary layer urban heat islands Atmosphere https org
    Basel
  • How Hot Spot Ord Gi Spatial works WWW Document URL http pro arcgis com en pro app tool reference spatial statistics h how hot spot analysis getis ord gispatial stati htm accessed
    ESRI
  • The urban heat island effect its causes and mitigation with reference to the thermal properties of asphalt concrete https org https org
    Mohajerani
  • An urban heat island study in Nanchang City China based on land surface temperature and social - ecological variables Sustain https org https org
    Zhang
  • Influences of the city of Bucharest on weather and climate parameters Atmos https org https org
    Tumanov
  • Aer de a WWW Document URL http www calitateaer ro public home page locale ro
    ANPM
  • Numerical modelling of the Bucharest urban heat island with the WRF - urban system Article no
    Iriza
  • NASA WWW Document URL https search earthdata nasa gov search accessed
    EARTHDATA
  • The energetic basis of the urban heat island
  • The urban heat island effect and city contiguity https org https org
    Debbage
  • Urban heat islands in relation to green land use in European cities Urban For Urban In Press https org https org
    Nastran
  • The urban heat island of Bucharest during the extreme high temperatures of https org
    Cheval
  • The potential of school green areas to improve urban green connectivity and multifunctionality Urban For Urban https org https org
    Iojă
  • a Two decades of urban climate research a review of turbulence exchanges of energy and water and the urban heat island https org
    Arnfield
  • Satellite observation of Urban Heat Island effect in Proceedings of the Global Conference on Global Warming
    Zoran
  • Eichenbaum and modelling of surface Urban Heat Island in Canadian cities under climate and land - cover change https org https org
    Gaur
  • The impact of urbanization and climate change on urban temperatures : a systematic https org
    Chapman
  • Urban heat island effect systematic of spatiotemporal factors data methods and mitigation measures https org https org
    Deilami
  • Impact of land use change and urbanization on urban heat island in Lucknow city Central India A remote sensing based estimate Sustain https org https org
    Singh
  • systematic and scientific critique of methodology in modern urban heat island literature https org
    Stewart
  • time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery Remote https org https org
    Fu