摘要
在山西省洪洞县东安村和三条沟村两个试验区,分别利用两套物联网环境墒情监测系统,通过数据云平台远程在线实时获取30cm、60cm两个土层的逐日土壤含水率,并计算出0~60cm土壤平均含水率,运用经典统计学方法分析霍泉灌区区域小尺度农田土壤含水率随时间的变化和空间变异性以及各监测点间不同土层含水率的相关性。结果表明,30cm和60cm的土壤含水率变异系数均在0.01~1.00之间,属弱变异和中等变异;各测点土壤含水率与其变异性呈显著相关性。30cm和60cm土层水分均受降水影响,8月土壤含水率最高。30cm土层含水率及变异系数波动较大,60cm土层含水率及变异系数之间差异性较小,变化相对比较稳定。研究成果可为有限供水情况下精准灌溉提供理论依据。
In Dong’an Village and Santiaogou Village,Hongdong County,Shanxi Province,two sets of Internet of Things environmental moisture monitoring systems were used to obtain the daily soil moisture content of 30cm and 60cm soil layers in real time through data cloud platform,and the average soil moisture content of 0~60cm was calculated.The classical statistical method was used to analyze the time-varying and spatial variability of soil moisture content in small-scale farmland in Huoquan irrigation district,and the correlation of soil moisture content among different monitoring points.The results showed that the coefficient of variation of soil moisture content of 30 cm and 60 cm was between 0.01 and 1,which belonged to weak variation and medium variation.There is a significant correlation between soil moisture content and its variability.The water content of 30 cm and 60 cm soil layers is affected by precipitation,and the water content of soil is the highest in August.The water content and variation coefficient of 30cm soil layer fluctuated greatly,while the difference between the water content and variation coefficient of 60 cm soil layer was small and the change was relatively stable.The research result can provide theory evidence for exactness immigration.
作者
刘秋丽
LIU Qiuli(Taiyuan University of Technology School of Hydro Science&Engineering,Taiyuan 030024,China)
出处
《水资源开发与管理》
2021年第10期6-11,共6页
Water Resources Development and Management
基金
山西省水利科学技术研究与推广项目“有限供水条件下精准灌溉技术集成与示范”(2019BZ003)。
关键词
土壤含水率
空间变异
霍泉灌区
物联网墒情监测系统
soil moisture content
spatial variation
Huoquan irrigation area
networking soil moisture monitoring system
