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自动与人工观测土壤水分差异对比分析
引用本文:赵梦凡,颜亮东. 自动与人工观测土壤水分差异对比分析[J]. 中国农学通报, 2020, 36(7): 90-98. DOI: 10.11924/j.issn.1000-6850.casb18110101
作者姓名:赵梦凡  颜亮东
作者单位:1. 青海省气象科学研究所,西宁 810001;2. 青海省防灾减灾重点实验室,西宁 810001
基金项目:国家自然基金项目“高寒枸杞花蕾期低温冷害指标研究”(41765008)。
摘    要:利用2017年7月28日—2018年9月18日青海省海北牧试站架设的DZN2型自动土壤水分观测仪与人工烘干法平行对比观测土壤水分资料数据,通过对比差值、计算差值概率等相关统计方法,对10~50 cm土壤质量含水率进行逐层分析。结果表明:在研究时段内,海北牧试站自动与人工观测取得的数据随时间的变化趋势基本一致。自动站观测的土壤质量含水率较人工观测值偏低,其中30~50 cm差值相对较小,10~20 cm差值相对较大。根据自动站与人工观测的数据对各层土壤质量含水率进行订正,绝对误差均小于3%,表明海北牧试站自动观测的土壤水分资料基本能代替人工观测,进而为推进农业气象的自动化监测提供一定的技术支撑和理论依据。

关 键 词:自动  人工  代替  土壤质量含水率  差异  青海
收稿时间:2018-11-23
修稿时间:2019-07-23

Soil Moisture Differences of Automatic and Artificial Observation: Comparative Analysis
Zhao Mengfan,Yan Liangdong. Soil Moisture Differences of Automatic and Artificial Observation: Comparative Analysis[J]. Chinese Agricultural Science Bulletin, 2020, 36(7): 90-98. DOI: 10.11924/j.issn.1000-6850.casb18110101
Authors:Zhao Mengfan  Yan Liangdong
Affiliation:1. Qinghai Academy of Meteorological Sciences, Xining 810001;2. Key Laboratory for Disaster Prevention and Mitigation in Qinghai, Xining 810001
Abstract:Based on the soil moisture data of the parallel observation of DNZ2 and artificial drying method measured by Haibei Pastoral Test Station in Qinghai from July 28, 2017 to September 18, 2018, by comparing the differences, and calculating the probability of the differences and other relevant statistical methods, we analyzed the soil weight moisture capacity of 10-50 cm by layer. The results showed that: the data obtained by Haibei Pastoral Test Station were consistent with the data obtained by artificial observation during the study period; the soil weight moisture capacity observed by automatic station was lower than that by artificial observation, and the difference between 30 cm and 50 cm was relatively small, while the difference between 10 cm and 20 cm was relatively large; the data revision of the soil weight moisture capacity was conducted based on the data of automatic station and artificial observation, the results showed that all absolute errors were less than 3%, indicating that the soil moisture data by automatic observation in Haibei Pastoral Test Station could basically replace that by artificial observation. The study could provide certain technical support forpromoting the automatic monitoring of agricultural meteorology.
Keywords:automatic  artificial  replace  the soil gravimetric moisture content
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