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http://dx.doi.org/10.12813/kieae.2016.16.6.069

Analysis on Effective Range of Temperature Observation Network for Evaluating Urban Thermal Environment  

Kim, Hyomin (Korea Institute of Civil Engineering and Building Technology)
Park, Chan (Dept. of Landscape Architecture, Univ. of Seoul)
Jung, Seunghyun (Korea Institute of Civil Engineering and Building Technology)
Publication Information
KIEAE Journal / v.16, no.6, 2016 , pp. 69-75 More about this Journal
Abstract
Climate change has resulted in the urban heat island (UHI) effect throughout the globe, contributing to heat-related illness and fatalities. In order to reduce such damage, it is necessary to improve the climate observation network for precise observation of the urban thermal environment and quick UHI forecasting system. Purpose: This study analyzed the effective range of the climate observation network and the distribution of the existing Automatic Weather Stations (AWS) in Seoul to propose optimal locations for additional installment of AWS. Method: First, we performed quality analysis to pinpoint missing values and outliers within the high-density temperature data measured. With the result from the analysis, a spatial autocorrelation structure in the temperature data was tested to draw the effective range and correlation distance for each major time period. Result: As a result, it turned out that the optimal effective range for the climate observation network in Seoul in July was a radius of 2.8 kilometers. Based on this result, population density, and temperature data, we selected the locations for additional installment of AWS. This study is expected to be used to generate urban temperature maps, select and move measurement locations since it is able to suggest valid, specific spatial ranges when the data measured in point is converted into surface data.
Keywords
Urban Heat Island; Automated Weather System(AWS); Effective range; Spatial Auto Corelation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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