四川省土壤温度状况空间分布特征

发布时间：2018-05-07 00:36

本文选题：土壤温度状况 + 回归克里格　；参考：《土壤通报》2017年03期

【摘要】：土壤温度状况(STR)在现代土壤系统分类中是确定土壤分类单元的重要诊断特性。利用四川省160个气象站点的多年年均和月均地面气候资料与数字高程模型数据,分析不同气象因子与地形因素对土壤温度(土温)的影响,然后以显著影响的因子为辅助变量,采用回归克里格法预测四川省STR的空间分布,依据中国土壤系统分类高级与基层分类划分标准中有关STR的定量诊断指标,对四川省STR及其空间分布特征进行分析。结果表明,气温、经度、纬度与海拔对土温有显著影响,在高级分类划分标准下,四川省STR以热性、温性、寒性为主,部分区域为永冻、冷性、高热;在基层分类划分标准下,四川省STR以热性、温性、冷性为主,部分地区为高寒性、近寒性、亚寒性、高热性。四川省STR分析为四川土壤系统分类与土壤资源的合理利用提供了科学依据。
[Abstract]:Soil temperature condition (STR) is an important diagnostic feature of soil classification unit in modern soil classification. Based on the annual and monthly surface climate data of 160 meteorological stations in Sichuan Province and the digital elevation model data, the effects of different meteorological and topographic factors on soil temperature (soil temperature) were analyzed, and the significant influencing factors were used as auxiliary variables. The spatial distribution of STR in Sichuan Province was predicted by using regression Kriging method. Based on the quantitative diagnostic indexes of STR in the Chinese soil system classification standards, the spatial distribution characteristics of STR in Sichuan Province were analyzed. The results show that temperature, longitude, latitude and altitude have significant effects on soil temperature. Under the advanced classification standard, STR in Sichuan Province is dominated by heat, temperature and cold, and parts of the area are permafrost, cold and high heat. The STR in Sichuan Province is dominated by heat, temperature and cold, and in some areas it is alpine, near cold, subcold and hyperthermia. STR analysis in Sichuan Province provides scientific basis for soil system classification and rational utilization of soil resources in Sichuan Province.
【作者单位】：四川农业大学资源学院;
【基金】：国家科技部基础性工作专项(2014FY110200A12) 国家自然科学基金项目(41671218)资助
【分类号】：S155

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