Grade Evaluation of Detection Environment of Meteorological Stations in Beijing

With the rapid development of urbanization, meteorological station detection environment is constantly changing. A large number of research results show that the impact of detecting environmental changes on meteorological elements is very obvious,and the spatial representativeness of observations ha...

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Bibliographic Details
Published inYing yong qi xiang xue bao = Quarterly journal of applied meteorology no. 1
Main Authors Wang, Chenggang, Wei, Xialu, Yan, Jiade, Jin, Lianji
Format Journal Article
LanguageChinese
Published Beijing China Meteorological Press 01.01.2019
Subjects
Absolute humidity
Area
Change detection
Correlation
Detection
Elevation
Environmental assessment
Environmental changes
Environmental impact
Fractal geometry
Fractals
High altitude
Humidity
Indicators
Land use
Landsat
Landsat satellites
Landscape
Landscape studies
Mathematical analysis
Observatories
Parameters
Quality
Remote observing
Remote sensing
Satellite observation
Satellites
Sky
Stations
Statistical analysis
Statistical methods
Statistics
Streamlines
Temperature
Temperature changes
Urban areas
Urbanization
Water area
Weather
Weather stations
Beijing China
China
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Summary:With the rapid development of urbanization, meteorological station detection environment is constantly changing. A large number of research results show that the impact of detecting environmental changes on meteorological elements is very obvious,and the spatial representativeness of observations has strong diversity characteristics. Therefore, it is necessary to establish a scientific and reasonable assessment method for the spatial representativeness of observation sites.Using Landsat satellite remote sensing data of 6 selected summers of 1990, 1994, 2000, 2005, 2011,2013 and digital elevation data in 2009, the landscape indicator parameters around national surface weather observatories in Beijing are calculated and statistical analysis are carried out with observations of national surface meteorological stations. Results show that parameters, such as land use types, landscape indexes around station, building height and sky view factor, etc., can digitally denote the configuration information of the meteoro
ISSN:1001-7313