摘要
土壤水分时间稳定性研究可获得准确可靠的土壤水分时空分布模式.以西北旱区有着300多年历史的压砂地为研究对象,利用平均相对偏差、Spearman秩相关系数等方法研究了西北景泰地区压砂地土壤水分的时间稳定性.结果表明,裸地及新、中、老砂地土壤水分的变异性只有少数几个时间点属于弱变异,其余都属于中等变异;平均相对偏差(-14.81%—12.84%)及标准差(0.78%—18.99%)变化范围较小,可以选择代表性测点39、测点42、测点10和测点4代表裸地及新、中、老砂地土壤水分平均值的估计值,Spearman秩相关系数和显著性水平较高;利用最小二乘法对代表性测点与土壤水分均值进行统计回归分析,相关系数R介于0.8640—0.9973,标准误差和平均偏差较小.以期为该区域合理布设土壤水分监测点提供理论依据,实现对研究区墒情的准确预测.
Study temporal stability of soil moisture can obtain accurate and reliable tempo-spatial distribution patterns of soil moisture. Regarded gravel-sand mulched field in northwestern arid area with history of more than 300 years as the research object. The average relative deviation, Spearman rank correlation coefficient were used to study the temporal stability of soil moisture of gravel-mulched field in region of northwest Jingtai. The results show that only a few time points belong to weak variation of soil moisture of bare land (CK), new gravel-mulched field (NGM), middle gravel-mulched field (MGM), old gravel-mulched field (OGM), others belong to medium variation. The average relative (-14.81%-12.84%) and the standard deviation (0.78%-18.99%) vary in a narrow range, we can choose the representative measuring point 39, point 42, point 10 and point 4 to represent the estimation average soil moisture of bare land, NGM, MGM, OGM. Spearman rank correlation coefficient and significance level were high. Statistical regression analysis of represent points soil moisture and average soil moisture with least square method showed that the correlation coefficient lay between 0.8640-0.9973, standard error and average deviation were smaller. To provide a theoretical basis for monitoring points of soil moisture in the area reasonable layout, implement accurately forecast of soil moisture. © 2015, Editorial Board of Journal of Basic Science and Engineering. All right reserved.
出处
《应用基础与工程科学学报》
EI
CSCD
北大核心
2015年第6期1245-1253,共9页
Journal of Basic Science and Engineering
基金
国家自然科学基金项目(51269008
51409137)
兰州理工大学红柳青年教师培养计划资助项目(Q201310)
关键词
压砂地
土壤水分
时间稳定性
平均相对偏差
Gravel
Least squares approximations
Moisture
Regression analysis
Soil moisture
Soils
Stability
