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Influence of Bioclimatic Variables on Distribution of Public Parks in Nakhon Ratchasima City Municipality of Thailand

机译:生物气候变量对泰国那空叻差希玛市公共公园分布的影响

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Public parks are believed to be affected to climatic data worldwide, and thus may serve as important indicators of climate change. This study aimed to examine influence of bioclimatic variables on the spatial distribution of 14 public parks in Nakhon Ratchasima (NK) City Municipality of Thailand. Bioclimatic variables were analyzed by BIOCLIM concept that was produced from two spatial climatic factors: rainfall and temperature. Herein, both climatic data were taken from Thai Meteorological Department (TMD) on 30-year period (1981-2010) that was prepared in excel and then was processed by Kriging method. Moreover, the produced-bioclimatic variables from BIOCLIM were selected by 2 the integrated approaches: (1) relating to Thai season and (2) correlation analysis, before some selected bioclimatic variables were used for studying relationship between bioclimatic variables and 14 public parks using GIS technique. As a result, 10 of 19 selected-bioclimatic variables for 14 public parks based on average in NK City Municipality that included: 6 bioclimatic temperatures: mean annually temperature (BIO1) between 27.0098 - 27.0320 °C; mean diurnal range (BIO2) between 10.3571 - 10.3615 °C; temperature seasonality (BIO4) between 2.11028 - 2.11962 °C; annually maximum temperature (BIO5) between 29.6681 - 29.6822 °C; annually minimum temperature (BIO6) between 23.1376 -23.1777 °C; annually temperature range (BIO7) between 6.49168 - 6.5208 °C, and 4 bioclimatic precipitations: mean annually precipitation (BIO12) between 86.127 - 86.6264 mm.; annually maximum precipitation (BIO13) between 225.631 - 227.511; annually minimum precipitation (BIO14) between 2.84739 - 2.98439 mm.; precipitation seasonality (BIO15) between 70.3660 -70.9822 mm.
机译:人们认为公园会受到全球气候数据的影响,因此可以作为气候变化的重要指标。这项研究的目的是检查生物气候变量对泰国那空叻差那玛(NK)市的14个公园的空间分布的影响。利用BIOCLIM概念分析了生物气候变量,该概念是由两个空间气候因素产生的:降雨和温度。本文中,这两个气候数据均取自泰国气象局(TMD)在30年期间(1981-2010年)的数据,该数据是用excel编写的,然后通过Kriging方法进行处理。此外,通过以下两种综合方法从BIOCLIM产生的生物气候变量中进行了选择:(1)与泰国季节有关和(2)相关性分析,然后将一些选定的生物气候变量用于使用GIS研究生物气候变量与14个公园之间的关系。技术。结果,根据NK市的平均水平,为14个公园选择了19个生物气候变量中的10个,其​​中包括:6个生物气候温度:年平均温度(BIO1)在27.0098-27.0320°C之间;平均日间温度范围(BIO2)在10.3571-10.3615°C之间; 2.11028-2.11962°C之间的温度季节性(BIO4);年最高温度(BIO5)在29.6681-29.6822°C之间;年最低温度(BIO6)在23.1376 -23.1777°C之间;年平均温度范围(BIO7)在6.49168-6.5208°C之间,有4次生物气候降水:年平均降水量(BIO12)在86.127-86.6264 mm之间;年最大降水量(BIO13)在225.631-227.511之间;年最小降水量(BIO14)在2.84739-2.98439毫米之间;降水季节(BIO15)在70.3660 -70.9822毫米之间。

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