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陕西省土壤温度和水分状况估算
引用本文:刘姣姣,齐雁冰,陈洋,张亮亮,秦倩茹,于晓杰.陕西省土壤温度和水分状况估算[J].土壤通报,2017(2):335-342.
作者姓名:刘姣姣  齐雁冰  陈洋  张亮亮  秦倩茹  于晓杰
作者单位:西北农林科技大学资源环境学院,陕西杨凌,712100
基金项目:国家科技基础性工作专项项目(2014FY110200A08)
摘    要:土壤温度和水分状况是中国土壤系统分类的两个重要诊断特性。土壤的水热状况受近地表温度和降水的直接影响,可以通过气候因素来估算土壤水分和温度状况。以陕西省85个气象台站连续30年的地面气象数据为基础,采用地统计与纽荷模型(JNSM)相结合的方法研究了陕西省土壤温度和水分状况及其空间分布。结果表明,土壤温度状况表现为:秦岭山区及其以北为温性,汉江河谷地区及其以南为热性;土壤水分状况表现为:长城以北为干旱,陕北黄土高原地区和关中盆地为半干润,秦岭以南为湿润,常湿润仅在最南端镇巴县和镇坪县的小部分南部地区存在。

关 键 词:土壤温度  土壤水分  纽荷模型(JNSM)  空间预测

Assessment of Soil Moisture and Temperature Regime Classes in Shaanxi Province
LIU Jiao-jiao,Qi Yan-bing,CHEN Yang,ZHANG Liang-liang,QIN Qian-ru,YU Xiao-jie.Assessment of Soil Moisture and Temperature Regime Classes in Shaanxi Province[J].Chinese Journal of Soil Science,2017(2):335-342.
Authors:LIU Jiao-jiao  Qi Yan-bing  CHEN Yang  ZHANG Liang-liang  QIN Qian-ru  YU Xiao-jie
Abstract:Soil moisture regime (SMR) and soil temperature regime (STR) classes are two important diagnostic characteristics of Chinese soil taxonomy.The condition of SMR and STR was predicted by the precipitation and air temperature because of their direct effects.In this paper,SMR and STR classes at each node of 1 km2 grids across Shannxi Province were calculated using the geostatistic method and the Java Newhall simulation model (JNSM) based on the monthly meteorological observation data for 30 years (1980-2010) in 85 meteorological observation stations.The results indicated that the STR classes belonged to mesic regime in the north of the Qinling Mountain and thermic regime in the south of the Han River Valley.The aridic regime was distributed in the north of the Great wall,the scope of ustic regime was in the south of the Great Wall and the north of the Qinling Mountain,the udic regime was distributed in the south of the Qinling Mountain,the perudic regime was distributed in the southernmost of Shaanxi Province and occupied very little proportion.
Keywords:Soil moisture regime  Soil temperature regime  The Java Newhall simulate model (JNSM)  Spatial prediction
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