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Parcel based air humidity trend analysis based on meteorological and phenological data obtained from a robo-stations subset of TARBIL's network

机译:基于塔伯尼尔网络的Robo-Stations子集获得的气象和鉴别数据的封装基于潮湿趋势分析

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In this work the air humidity (at 2 & 10 meters elevation above ground surface) and meteorological data were explored with the aim to study the temporal variation of air humidity and its association with weather and irrigation activities data parameters obtained from eleven (11) automated synoptic agro-meteorological TARBIL stations located in four different influential agricultural and administrative provinces of Turkey. In this preliminary version only the results for one of the stations are given. The data used in the work were obtained through the official web site of TARBIL - the Turkish Agricultural Monitoring and Information System for period of a year spanning between June 2014 and June 2015. Despite the fact that air humidity statistics at low heights as of 2m and 10m originate from both natural or manmade sources (like precipitation or irrigation) we tried to discover the trend variation of air humidity, based on multiple linear regression model ANOVA statistics and PCA analysis.
机译:在这项工作中,探讨了空气湿度(地面2米的高度)和气象数据,旨在研究空气湿度的时间变化及其与自动化(11)自动化的天气和灌溉活动数据参数的关系。天气朴素气站位于四种不同影响土耳其的农业和行政省份。在这个初步版本中,仅给出了一个站点的结果。工作中使用的数据通过塔布尼尔的官方网站 - 土耳其农业监测和信息系统跨越2015年至2015年6月期间的一年。尽管诸如2米的低高度的空气湿度统计数据10M来自天然或人工源(如降水或灌溉),我们试图发现空气湿度的趋势变化,基于多元线性回归模型ANOVA统计和PCA分析。

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