Literature DB >> 12647096

A geographical information system model for creating bioclimatic maps - examples from a high, mid-latitude city.

Marie K Svensson1, Sofia Thorsson, Sven Lindqvist.   

Abstract

This paper presents a method for creating large-scale bioclimatic maps with the aid of a geographical information system, GIS. Meteorological data are linked with geographical information about land use, elevation and distance to the coast, in order to generate spatial distributions of physiological equivalent temperature, PET. The model combines an air temperature map and a wind map in order to create different zones for which the thermal component is to be calculated. The advantage of the model presented is that it uses generally available information about land use, altitude and distance to the coast. Further, the model uses a GIS application, which makes it non-static. Compared to most other models, a wide range of observations are used as input. Few biometeorological studies have been performed in high-latitude areas. This paper presents bioclimatic maps for the Göteborg urban area, in Sweden, for the month of July. The results show large variations in PET during a clear, calm day at 1200 hours (Delta T 13.4 degrees C) and during average conditions in July (Delta T 6.8 degrees C), which gives an indication of the magnitude and the spatial variations within high, midlatitude, urban area in summer. The highest PET values were found in the central built-up areas and the lowest PET values in the coastal and green areas. The model generates valuable information for urban planners and decision makers when planning and constructing new areas for outdoor activities etc. This information is also useful in the fields of health and energy.

Mesh:

Year:  2003        PMID: 12647096     DOI: 10.1007/s00484-002-0150-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

1.  A biometeorological procedure for weather forecast to assess the optimal outdoor clothing insulation.

Authors:  Marco Morabito; Alfonso Crisci; Lorenzo Cecchi; Pietro Amedeo Modesti; Giampiero Maracchi; Gian Franco Gensini; Simone Orlandini
Journal:  Eur J Appl Physiol       Date:  2008-02-05       Impact factor: 3.078

2.  Sixty years of the International Journal of Biometeorology.

Authors:  Scott C Sheridan; Michael J Allen
Journal:  Int J Biometeorol       Date:  2017-05-05       Impact factor: 3.787

3.  Assessment of daytime outdoor comfort levels in and outside the urban area of Glasgow, UK.

Authors:  Eduardo Krüger; Patricia Drach; Rohinton Emmanuel; Oscar Corbella
Journal:  Int J Biometeorol       Date:  2012-08-13       Impact factor: 3.787

Review 4.  Biometeorology for cities.

Authors:  David M Hondula; Robert C Balling; Riley Andrade; E Scott Krayenhoff; Ariane Middel; Aleš Urban; Matei Georgescu; David J Sailor
Journal:  Int J Biometeorol       Date:  2017-07-27       Impact factor: 3.787

5.  Evaluation of human thermal comfort ranges in urban climate of winter cities on the example of Erzurum city.

Authors:  Süleyman Toy; Noémi Kántor
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-29       Impact factor: 4.223

6.  Investigation of the relationship between bioclimatic comfort and land use by using GIS and RS techniques in Trabzon.

Authors:  Ilknur Zeren Cetin; Hakan Sevik
Journal:  Environ Monit Assess       Date:  2020-01-02       Impact factor: 2.513

  6 in total

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