LAI Wenshan,LI Changjun,LI Chao.Study on Thresholds of Soil Volume Water Content in Shandong based on the Observation Data of Soil Water Automatic Station[J].Journal of Chengdu University of Information Technology,2021,36(05):545-552.[doi:10.16836/j.cnki.jcuit.2021.05.012]
基于土壤水分自动站观测资料的山东土壤体积含水量阈值研究
- Title:
- Study on Thresholds of Soil Volume Water Content in Shandong based on the Observation Data of Soil Water Automatic Station
- 文章编号:
- 2096-1618(2021)05-0545-08
- Keywords:
- atmospheric science; applied meteorology; soil hydrophysical constant; soil volumetric water content; threshold; checkout number; soil type
- 文献标志码:
- A
- 摘要:
- 针对土壤体积含水量质量控制过程中缺乏自动土壤水分观测网的长序列历史资料的问题,引入土壤水文常数来计算其阈值,对山东土壤水分观测网231站的土壤水文物理常数的实测值分土壤类别和土层深度进行分析。结果发现土壤水文物理常数随深度和土壤类别变化明显,进一步分析了土壤体积含水量的极值随土壤水文物理常数的变化后得到:极值随观测深度、不同土壤类别和土壤水文其物理常数变化皆较为明显。土壤体积含水量极大值90%以上集中在30～60(0.01 g·cm-3),土壤体积含水量极小值95%以上集中在2.5～10(0.01 g·cm-3)。研究得到的山东土壤体积含水量阈值经过验证可用于山东农业气象观测数据质量控制业务中。
- Abstract:
- In order to solve the problem of the lack of long series historical data of automatic soil moisture observation network in the process of soil volumetric water content quality control, the soil hydrological constant was introduced to calculate the threshold value, and the measured value of soil hydrophysical constant of station 231 of Shandong soil moisture observation network was analyzed by soil category and soil depth. It turns out that the soil hydrological and physical constant changed obviously with the depth and the soil type. Further analysis of the extreme value of soil volumetric water content with the change of soil hydrological and physical constant showed that the extreme value changed obviously with the observation depth, different soil types and soil hydrological and physical constant. The maximum value of soil volumetric water content above 90% is between 30-60(0.01 g·cm-3), and the minimum value of soil volumetric water content above 95% is between 2.5-10(0.01 g·cm-3). The threshold of soil volumetric water content obtained from the study has been verified to apply to the quality control of agricultural meteorological observation data in Shandong province.
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备注/Memo
收稿日期:2020-03-30
基金项目:公益性行业(气象)科研专项经费资助项目(GYHY201306044)