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    刘洋. 辽西地区土壤墒情自动监测数据误差修正方法研究[J]. 中国防汛抗旱, 2021, 31(5): 39-43. DOI: 10.16867/j.issn.1673-9264.2020053
    引用本文: 刘洋. 辽西地区土壤墒情自动监测数据误差修正方法研究[J]. 中国防汛抗旱, 2021, 31(5): 39-43. DOI: 10.16867/j.issn.1673-9264.2020053
    LIU Yang. Study on error correction method of soil moisture automatic monitoring data in western Liaoning Province[J]. China Flood & Drought Management, 2021, 31(5): 39-43. DOI: 10.16867/j.issn.1673-9264.2020053
    Citation: LIU Yang. Study on error correction method of soil moisture automatic monitoring data in western Liaoning Province[J]. China Flood & Drought Management, 2021, 31(5): 39-43. DOI: 10.16867/j.issn.1673-9264.2020053

    辽西地区土壤墒情自动监测数据误差修正方法研究

    Study on error correction method of soil moisture automatic monitoring data in western Liaoning Province

    • 摘要: 在辽西地区引进基于时域反射技术(TDR)的土壤墒情监测仪,对辽西太平庄监测站2019年5月30日至7月1日10 cm、20 cm、40 cm深度土层墒情监测数据进行比测、分析及误差修正。分析结果为:3种不同深度土层自动监测数据绝对误差在±4%范围内的数据测次占人工监测的数据测次均为100%,符合业务化运行的基本标准要求,可以应用到实际生产中。针对监测数据误差,建立误差修正模型,对10 cm和20 cm土层监测数据采用一元二次回归方程进行误差修正,修正后数据精度分别提高60.6%和81.0%;40 cm土层监测数据采用一元一次回归方程进行误差修正,修正后数据精度提高了54.7%,可以更好地满足土壤墒情监测要求,为辽西地区土壤墒情自动监测技术的推广与应用提供科学依据。

       

      Abstract: A soil moisture monitor based on time domain reflection technique(TDR)is introduced in western Liaoning Province to carry out comparison measurement, analysis and error correction on soil moisture monitoring data of 10 cm, 20 cm and 40 cm depth soil layer from May 30 to July 1 in 2019 at Taipingzhuang monitoring station in western Liaoning. The analysis results show that the absolute errors of automatic monitoring data and manual monitoring data of three different depths are all within the range of ±4%, which meets the basic standard requirements of operational operation and can be applied to practical production. The error correction model was established based on the monitoring data errors, the monitoring data of 10 cm and 20 cm soil layer is corrected by unitary quadratic regression equation, and the accuracy of the corrected data is improved by 60.6% and 81.0%, respectively. The monitoring data of 40 cm soil layer is corrected by unary one-step regression equation, and the accuracy of the corrected data was improved by 54.7%, which can better meet the requirements of soil moisture monitoring, and provide scientific basis for the promotion and application of automatic soil moisture monitoring technology in western Liaoning Province.

       

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