Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI:  10.11898/1001-7313.20160211.
Citation: Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI:  10.11898/1001-7313.20160211.

Quality Control and Analysis of in Situ Soil Moisture Data in Yunnan

DOI: 10.11898/1001-7313.20160211
  • Received Date: 2015-05-16
  • Rev Recd Date: 2015-11-27
  • Publish Date: 2016-03-31
  • Soil moisture is a variable that plays a crucial role in the energy and mass exchange between the atmosphere and land, and it is often used as an environment factor and process parameter in meteorology researches. However, due to the diversity of climatological conditions and differences in measurement setup, the quality of the soil moisture measurement is highly variable, which may have a significant impact on the data accuracy. Therefore, appropriate quality characterization is desired.Based on soil moisture data of 37 stations of Yunnan in 2010-2014, the spectrum-based approaches are used to eliminate 3 kinds of abnormal data. The constant, spike and noisy, caused by saturation of the signal and unresponsive sensors, are screened out by procedures analysis on the time series. The data integrality is shown not good, especially at some stations in the northwest of Yunnan Province, where the instruments are newly set up. After the first instability period, the data quality gradually improves. Among all abnormal values, the proportion of constant is up to 97% in all stations. The distribution of stations containing more spike shows less distinct pattern.Compared to the related meteorological data, different soil types show different responses to the precipitation. Sandy soil shows quicker reaction to the precipitation, and the change of soil moisture is more significant as well. As the rainfall intensity increases, the rise of the moisture increases too. Loam soil shows continuous rise in the few hours after the rainfall, but the variation is rather weaker, and the deeper soil moisture changes relatively smoothly. Clayey soil has a weak relationship with precipitation, and the soil moisture descends more quickly in the deeper layer than other soil type. It's found that the rainfall intensity and the soil moisture rise are not simply positively correlated, the soil moisture rises less after downpour, and these responses need further research.
  • Fig. 1  Distribution of automatic soil moisture sites in Yunnan

    Fig. 2  Examples of automated soil moisture containing constant (a), noisy (b) and spike (c) in Yunnan

    Fig. 3  Amount of spike (a) and constant (b) data at automatic meteorological stations in Yunnan during 2010—2014

    Fig. 4  Distribution of stations of sand soil, loam soil and clayey soil in Yunnan

    Fig. 5  Response of soil moisture change to rainfall intensity in sand soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

    Fig. 6  Response of soil moisture change to rainfall intensity in loam soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

    Fig. 7  Response of soil moisture change to rainfall intensity in clayey soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

    Table  1  Ratio of missing, abnormal and valid data of automatic meteorological stations in Yunnan during 2010—2014

    区站号 缺测值/% 异常值/% 有效值/%
    56586 3 23 43
    56649 23 6 71
    56651 37 23 40
    56654 46 14 40
    56697 20 34 47
    56739 58 11 32
    56748 55 5 40
    56751 39 17 43
    56752 1 74 24
    56757 16 7 77
    56763 24 15 62
    56768 19 19 62
    56775 17 26 57
    56778 24 44 32
    56785 25 29 46
    56788 13 24 63
    56835 11 24 66
    56836 48 5 47
    56841 65 8 28
    56842 1 36 63
    56843 14 12 74
    56844 24 18 58
    56856 23 22 55
    56875 11 29 61
    56880 2 27 71
    56881 0 44 56
    56883 46 6 48
    56889 39 20 41
    56946 42 11 48
    56951 39 25 36
    56959 24 25 51
    56964 32 5 63
    56966 44 14 41
    56977 47 3 50
    56985 0 66 34
    56994 30 26 44
    59205 56 16 28
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    • Received : 2015-05-16
    • Accepted : 2015-11-27
    • Published : 2016-03-31

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