刘一凡,吕廷波,宋仁友,张晓宇,陈伏龙,付鑫法,李港强.南疆典型灌区春播前表层土壤含水率空间分布研究[J].干旱地区农业研究,2024,(2):264~271
南疆典型灌区春播前表层土壤含水率空间分布研究
Spatial distribution of surface soil moisture content before spring sowing in typical irrigation areas in southern Xinjiang
  
DOI:10.7606/j.issn.1000-7601.2024.02.28
中文关键词:  土壤水分  空间分布  空间插值法  精度评价  南疆灌区
英文关键词:soil moisture  spatial distribution  spatial interpolation methods  accuracy evaluation  southern Xinjiang irrigation district
基金项目:新疆生产建设兵团南疆重点产业创新发展支撑计划项目(2022DB024)
作者单位
刘一凡 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
吕廷波 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
宋仁友 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
张晓宇 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
陈伏龙 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
付鑫法 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
李港强 石河子大学水利建筑工程学院新疆 石河子 832000现代节水灌溉兵团重点实验室新疆 石河子 832000 
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中文摘要:
      采用7种插值方法(反距离权重法、径向基函数法、全局多项式法、局部多项式法、普通克里金法、泛克里金法、经验贝叶斯克里金法)对小海子灌区(南疆典型灌区)土壤含水率进行空间分布特征评估。结果表明:(1)研究区表层土壤含水率介于4.99%~24.99%,变异系数为27.6%,属于中等变异,且具有中等的空间自相关性,指数模型拟合变异函数的效果较好。(2)对于同时受结构性因素与随机性因素影响的小海子灌区,将确定性插值径向基函数法应用于土壤含水率插值的精度较高。(3)通过对灌区表层土壤含水率空间分布图的分析,发现小海子灌区春播前土壤含水率在空间上呈现出西南高、东北低的规律,且受地下水位及灌溉措施影响较大;表层土壤含水率大于15%的面积占总面积的64.9%,从整体上看,灌区西南部与中部的土壤含水率已达到播种要求,东北部地区达到“干播湿出”的播种要求,灌区可安排相应的春播活动。
英文摘要:
      This study employed seven interpolation methods (inverse distance weighting, radial basis function, global polynomial, local polynomial, ordinary Kriging, universal Kriging, and empirical Bayesian Kriging) to assess the spatial distribution characteristics of soil moisture content in the Xiaohaizi irrigation area (typical irrigation area in southern Xinjiang). The results indicate that: (1) The surface soil moisture content in the study area ranged from 4.99% to 24.99%, with a coefficient of variation of 27.6%, indicating moderate variability and moderate spatial autocorrelation, and the exponential model effectively fitted the variogram function. (2) For the Xiaohaizi irrigation area, which was influenced by both structural and random factors, the deterministic interpolation radial basis function method achieved high accuracy in soil moisture content interpolation. (3) Through the analysis of the spatial distribution map of soil moisture content in the irrigation area, it was found that before spring sowing, the soil moisture content in the Xiaohaizi irrigation area exhibited a pattern of high in the southwest and low in the northeast, with significant influence from groundwater level and irrigation measures. The area with soil moisture content exceeding 15% covered 64.9% of the total area. Overall, the soil moisture content in the southwest and central parts of the irrigation area meeted the sowing requirements, while the northeast region meeted the “dry sowing and moist emergence” sowing requirements. Spring sowing work can be arranged in different areas accordingly.
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