土壤墒情自动监测与人工烘干法比测研究
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摘要
以连云港孙沟站为例,介绍了土壤墒情自动监测系统比测方法。历时4个月,收集21组数据,将率定后的机测体积含水量与烘干法所测的重量含水量通过干容重换算得到的土壤体积含水量进行比测。机测的含水量与土壤实际含水量相关性很好。数据合格率为85.7%,大于80%的要求。土壤墒情自动监测系统运行稳定可靠,无数据丢失。土壤墒情自动监测系统可以替代人工监测,将为抗旱决策提供完整、及时、准确的墒情数据。
Taking the Sungou pumping station of Lianyungang as an example, the comparison method of soil moisture automatic monitoring system was introduced. Collecting 21 groups of data for four months, the volumetric water content of the automatic monitoring system after rating were compared with the weight water content obtained by dry bulk density conversion. There was a good correlation between the measured water content and the actual soil moisture content. The qualified rate was 85.7%, which was more than the requirement of 80%. Soil moisture automatic monitoring system operated stably and reliably with no data loss, which could replace the manual monitoring and provide complete,timely and accurate soil moisture data for drought-resistant strategy.
Taking the Sungou pumping station of Lianyungang as an example, the comparison method of soil moisture automatic monitoring system was introduced. Collecting 21 groups of data for four months, the volumetric water content of the automatic monitoring system after rating were compared with the weight water content obtained by dry bulk density conversion. There was a good correlation between the measured water content and the actual soil moisture content. The qualified rate was 85.7%, which was more than the requirement of 80%. Soil moisture automatic monitoring system operated stably and reliably with no data loss, which could replace the manual monitoring and provide complete,timely and accurate soil moisture data for drought-resistant strategy.
引文
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[4]邢启新,马明奎,刘爽,等.自动土壤水分观测站数据对比应用研究[J].现代农业科技,2014(16):333-334.
[5]邓运超.莱西市农田土壤水分自动与人工观测数据对比分析[J].农村经济与科技,2013,24(2):93-95.
[6]胡玲,汪青春.青海省农业区(浅山旱地)土壤墒情监测系统[J].中国农业气象,2009,30(S1):130-133.
[7]王志宇,车承钧,王阳.基于物联网的区域农田土壤墒情监测系统研究[J].自动化技术与应用,2010,29(12):39-41.
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