安晓飞,孟志军,王培,付卫强,郭建华.东北地区土壤温度和湿度空间变异特性研究[J].农业机械学报,2015,46(S1):304-308.
An Xiaofei,Meng Zhijun,Wang Pei,Fu Weiqiang,Guo Jianhua.Spatial Variability of Soil Temperature and Moisture in Northeast China[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(S1):304-308.
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东北地区土壤温度和湿度空间变异特性研究   [下载全文]
Spatial Variability of Soil Temperature and Moisture in Northeast China   [Download Pdf][in English]
投稿时间:2015-10-28  
DOI:10.6041/j.issn.1000-1298.2015.S0.048
中文关键词:  土壤温度  土壤湿度  时空变异  地统计学
基金项目:国家高技术研究发展计划(863计划)资助项目(2012AA101901)
作者单位
安晓飞 北京农业智能装备技术研究中心
国家农业智能装备工程技术研究中心 
孟志军 北京农业智能装备技术研究中心
国家农业智能装备工程技术研究中心 
王培 北京农业智能装备技术研究中心
国家农业智能装备工程技术研究中心 
付卫强 北京农业智能装备技术研究中心
国家农业智能装备工程技术研究中心 
郭建华 北京农业智能装备技术研究中心
国家农业智能装备工程技术研究中心 
中文摘要:于2015年4月在黑龙江农垦赵光农场,使用20套无线传感器网络节点部署在赵光农场一面积为33.4 hm 2 的玉米地块,并通过2个手持式移动节点进行加密测量。根据这一方案,获得了从4月5—29日在240 m×240 m、120 m×120 m、60 m×60 m和30 m×30 m网格下的土壤温度和土壤湿度数据。在此基础上,基于统计半方差函数理论和GIS空间Kriging插值方法分别分析了土壤温度和土壤湿度各向同性、各向异性变化特征及分布模式。结合土壤温度和土壤湿度在不同尺度下的Kriging插值结果,确定了两者最佳采样间距。试验结果表明,土壤温度和土壤湿度的半方差函数分别适用于球形模型和指数模型,两者均有很强的空间自相关。其中,土壤温度自相关距离为51.56 m,土壤湿度的自相关距离为154.16 m。土壤温度在45°、90°方向变化明显大于0°、135°方向;土壤湿度拟合决定系数( R 2 )为0.77,在0°、135°方向上变化较大,土壤温度和土壤湿度最佳采样间距分别为60 m和100 m。
An Xiaofei, Meng Zhijun, Wang Pei, Fu Weiqiang and Guo Jianhua
Beijing Research Center of Intelligent Equipment Agriculture;National Research Center of Intelligent Equipment for Agriculture,Beijing Research Center of Intelligent Equipment Agriculture;National Research Center of Intelligent Equipment for Agriculture,Beijing Research Center of Intelligent Equipment Agriculture;National Research Center of Intelligent Equipment for Agriculture,Beijing Research Center of Intelligent Equipment Agriculture;National Research Center of Intelligent Equipment for Agriculture and Beijing Research Center of Intelligent Equipment Agriculture;National Research Center of Intelligent Equipment for Agriculture
Key Words:Soil temperature  Soil moisture  Spatial and temporal variation  Geostatistics
Abstract:In order to achieve the maize sowing time decision-making and improve the effective accumulated temperature of maize growth, it is needed to understand the soil spatial variability characteristics. Totally 20 sets of wireless sensor network nodes were deployed in Zhaoguang Farm in Heilongjiang Province for one month in 2015. In addition, two handheld mobile sensor nodes were chosen to increase the measurement number. According to the method, soil temperature and moisture data were obtained from 5 th to 29 th in April with 240 m×240 m, 120 m×120 m, 60 m×60 m and 30 m×30 m grids. The isotropic and anisotropic variation characteristics and distribution patterns of soil temperature and moisture were analyzed based on statistics semivariance function theory and GIS space Kriging interpolation method. Experimental results showed that the semivariance of soil temperature and moisture were suitable for the spherical model and exponential model, respectively. Both of them had strong spatial autocorrelation. The distribution of soil temperature was block with autocorrelation distance of 51.56 m. And the distribution of soil moisture was ribbon with autocorrelation distance of 154.16 m. The anisotropy of soil temperature and moisture variation was also significant. The soil temperature variations in 45° and 90° directions were significantly greater than those in 0° and 135° directions. The soil moisture determination coefficient ( R 2 ) was 0.77 with significant variations in 0° and 135° directions. The research results provided a scientific guidance for the decision-making of maize seeding time and the determination of soil sampling distance.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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