摘要
在农业资源气候研究中,为促进旬平均气温的插值研究,基于1997-2006年黑龙江省旬平均气温和DEM数字高程模型数据,在ArcGIS的技术支持下,利用聚焦分析和相关分析的方法,对地面坡向进行4个阴阳坡分类,定量研究黑龙江省旬平均气温与地面坡向的相关性,为坡向作为旬平均气温插值的协同变量提供理论基础,使插值结果更准确。结果表明:黑龙江省旬平均气温与地面坡向具有较高的相关性,与200km左右的邻域范围内坡向均值mean2、标准差std和std/mean的函数相关性比较大,并呈负相关趋势,说明旬平均气温与阴坡的相关程度更高,坡向越复杂,对旬平均气温影响越大,同时每旬的相关程度不同。在作物生长期内,相关程度最高,最大相关系数在-0.747 6^-0.365 6,均值为-0.585 3。
In the research of agricultural resources and climate, in order to promote the research of interpolation of the average 10-day air temperature,based on the 1997-2006 average 10-day air temperature in Heilongjiang province and DEM digital elevation model data, under the support of ArcGIS technology, using focal analysis and correlation analysis method, the ground aspect was to classified four aspects, the relativity between the average 10-day air temperature and aspect of the ground in Heilongjiang province was quantitatively researched to provide a theoretical basis for the aspect as the average 10 day air temperature interpolation covariates,making interpolation results more accurate. The results showed that the average 10-day air temperature in Heilongjiang province with the ground aspect had a higher correlation with around the 200 km neighborhood range of aspect meanz , std and std/mean was relatively large, and it showed a trend of negative correlation, indicating that there were higher degree of correlation between average 10-day air temperature and shady,the more complex the as- pect, the greater the impact on the average 10-day air temperature,while 10 day of each relevant to varying degrees. During the cope growing period, related to the highest degree, the maximum correlation coefficient was in the range of -0. 747 64-0. 365 6,with an average of -0. 585 3.
出处
《黑龙江农业科学》
2016年第6期129-133,共5页
Heilongjiang Agricultural Sciences
基金
东北农业大学博士启动基金资助项目(2012RCB67)
关键词
黑龙江省
旬平均气温
坡向
聚焦分析
相关分析
ARCGIS
Heilongjiang province
average 10 day air temperature
aspect
focal analysis
correlation analysis
ArcGIS