Abstract

Urban environmental measurements and observational statistics should reflect the properties generated over an adjacent area of adequate length where homogeneity is usually assumed. The determination of this characteristic source area that gives sufficient representation of the horizontal coverage of a sensing instrument or the fetch of transported quantities is of critical importance to guide the design and implementation of urban landscape planning strategies. In this study, we aim to unify two different methods for estimating source areas, viz. the statistical correlation method commonly used by geographers for landscape fragmentation and the mechanistic footprint model by meteorologists for atmospheric measurements. Good agreement was found in the intercomparison of the estimate of source areas by the two methods, based on 2-m air temperature measurement collected using a network of weather stations. The results can be extended to shed new lights on urban planning strategies, such as the use of urban vegetation for heat mitigation. In general, a sizable patch of landscape is required in order to play an effective role in regulating the local environment, proportional to the height at which stakeholders' interest is mainly concerned.

Original languageEnglish (US)
Article numbere0165726
JournalPLoS One
Volume11
Issue number11
DOIs
StatePublished - Nov 1 2016

Fingerprint

City Planning
urban planning
Urban planning
Correlation methods
Temperature measurement
weather stations
Weather
Statistics
stakeholders
air temperature
statistics
planning
Hot Temperature
Air
methodology
heat
Light
vegetation
Temperature

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Size Matters : What are the characteristic source areas for urban planning strategies? / Wang, Zhihua; Fan, Chao; Myint, Soe; Wang, Chenghao.

In: PLoS One, Vol. 11, No. 11, e0165726, 01.11.2016.

Research output: Contribution to journalArticle

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