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多源土壤水分产品在河北平原的适用性评价

石嘉丽 张晓龙 闵雷雷 张婧 王妍 沈彦军

石嘉丽, 张晓龙, 闵雷雷, 张婧, 王妍, 沈彦军. 多源土壤水分产品在河北平原的适用性评价[J]. 中国生态农业学报 (中英文), 2022, 30(5): 809−819 doi: 10.12357/cjea.20210697
引用本文: 石嘉丽, 张晓龙, 闵雷雷, 张婧, 王妍, 沈彦军. 多源土壤水分产品在河北平原的适用性评价[J]. 中国生态农业学报 (中英文), 2022, 30(5): 809−819 doi: 10.12357/cjea.20210697
SHI J L, ZHANG X L, MIN L L, ZHANG J, WANG Y, SHEN Y J. Adaptability evaluation of soil moisture products in the Hebei Plain[J]. Chinese Journal of Eco-Agriculture, 2022, 30(5): 809−819 doi: 10.12357/cjea.20210697
Citation: SHI J L, ZHANG X L, MIN L L, ZHANG J, WANG Y, SHEN Y J. Adaptability evaluation of soil moisture products in the Hebei Plain[J]. Chinese Journal of Eco-Agriculture, 2022, 30(5): 809−819 doi: 10.12357/cjea.20210697

多源土壤水分产品在河北平原的适用性评价

doi: 10.12357/cjea.20210697
基金项目: 国家自然科学基金项目(42001037)和河北省自然科学基金创新研究群体项目(D2021503001)资助
详细信息
    作者简介:

    石嘉丽, 主要从事生态水文模拟方向研究。E-mail: shijiali19@mails.ucas.ac.cn

    通讯作者:

    沈彦军, 主要从事流域生态水文模拟与水环境管理方向研究。E-mail: shenyanjun@sjziam.ac.cn

  • 中图分类号: P426.68

Adaptability evaluation of soil moisture products in the Hebei Plain

Funds: This research was supported by the National Natural Science Foundation of China (42001037) and the Foundation for Innovative Research Groups of the Natural Science Foundation of Hebei Province (D2021503001).
More Information
  • 摘要: 河北平原地处华北平原中部, 是我国重要的粮食产区, 是世界上冬小麦、夏玉米最高产的地区之一。土壤水分作为作物生长的直接水源和基础条件, 对灌溉决策、干旱预报均有重要意义。虽然多源土壤水分产品已获得了长足发展, 但其在河北平原的适用性还缺乏全面的定量评价。本文利用河北平原望都、霸州、威县、栾城4个站点2018年1月至2019年10月的表层10 cm土壤水分实测数据, 通过相关系数、偏差、均方根误差、无偏均方根误差4个指标, 对比分析了SMOS、SMAP、FY3B、ERA-Land、GLDAS、GLEAM等6种土壤水分产品在河北平原典型农田的具体表现。整体而言, 除夏季FY3B存在高估外, 多源土壤水分产品对河北平原不同站点实际土壤含水量有不同程度的低估, 研究时段内各土壤水分产品平均相关系数排序为GLEAM>FY3B>ERA-Land>GLDAS>SMAP>SMOS, 平均无偏均方根误差排序为GLEAM<GLDAS<SMAP<ERA-Land<SMOS<FY3B。具体表现为: 1)同化多源数据的GLEAM、GLDAS、ERA-Land数据精度较好, 平均相关系数较大而平均无偏均方根误差较低。在土壤含水量高的夏季, 模拟数据更接近实测值。2) FY3B数据缺失较多、波动范围较大且平均无偏均方根误差较大, 但与实测数据相关性较好, 平均相关系数为0.43 m3·m−3, 夏季普遍高估土壤含水量, 数据精度较差, 其他季节则低估。3) SMAP整体数据精度高于SMOS, 夏季相关性较高但平均无偏均方根误差较大, 秋季则与之相反, 当实测土壤水介于0.30~0.40 m3∙m−3时表现较好。4) SMOS因射频干扰等原因在各站点表现最差, 各站点平均相关系数仅为0.20 m3·m−3, 偏差均大于0.10 m3∙m−3
  • 图  1  研究站点及不同土壤水分产品像元分布图

    Figure  1.  Location of observed stations and soil moisture products pixels

    图  2  研究期间不同土壤水分产品和实测(In-situ)的望都(a, b)、霸州(c, d)、威县(e, f)、栾城(g, h)土壤体积含水量变化

    Figure  2.  Variations of soil volumetric water contents in Wangdu (a, b), Bazhou (c, d), Weixian (e, f) and Luancheng (g, h) stations from the soil moisture products and in-situ soil moisture (In-situ) during the experiment period

    图  3  望都(a, b)、霸州(c, d)、威县(e, f)、栾城(g, h)实测土壤水分与土壤水分产品散点图

    Figure  3.  Scatter plots of the in-situ and estimated soil moisture in Wangdu (a, b), Bazhou (c, d), Weixian (e, f), and Luancheng (g, h) stations

    图  4  各站点季节尺度6种土壤水分产品的精度表现

    Figure  4.  Soil moisture measurement accuracies of 6 soil moisture products at seasonal scale at each station

    图  5  各站点6种土壤水分产品不同数值范围精度表现

    Figure  5.  Accuracy of six soil moisture products in different numerical range at each site

    表  1  本研究所用土壤水分产品信息

    Table  1.   Soil moisture products information used in the study

    产品类型
    Data type
    产品名称
    Dataset name
    版本
    Version
    空间分辨率
    Spatial resolution
    深度
    Depth (cm)
    时间分辨率
    Temporal resolution
    微波遥感产品
    Microwave remote sensing products
    FY3BFY3B_P25 km×25 km0~51 d (升轨时间13:30, 降轨1:30)
    (Ascending time 13:30, decending time 1:30)
    SMOSSMOS_L3_P36 km×36 km0~51 d (升轨时间6:00, 降轨时间18:00)
    (Ascending time 6:00, decending time 18:00)
    SMAPSMAP_L3_P36 km×36 km0~51 d (升轨时间18:00, 降轨时间6:00)
    (Ascending time 18:00, decending time 6:00)
    再分析产品
    Reanalysis product
    ERA-Land0.1°×0.1°0~71 h
    陆表模型产品
    Land surface model products
    GLDASGLEAM_V3.5b0.25°×0.25°0~103 h
    GLEAMNOAH_V2.10.25°×0.25°0~103 h
    下载: 导出CSV

    表  2  各站点各种土壤水分产品的精度检验

    Table  2.   Error metrics of soil moisture of different soil moisture products in different stations

    站点
    Station
    产品
    Product
    RMSE
    (m3·m−3)
    Bias
    (m3·m−3)
    ubRMSE
    (m3·m−3)
    rP样本个数
    Number of samples
    望都
    Wangdu
    FY3B 0.094 −0.012 0.093 0.773 0.001 181
    SMOS 0.190 0.164 0.095 0.341 0.001 303
    SMAP 0.123 0.109 0.057 0.479 0.001 242
    ERA-Land 0.085 0.048 0.071 0.348 0.001 655
    GLDAS 0.120 0.108 0.051 0.530 0.001 655
    GLEAM 0.060 0.032 0.051 0.546 0.001 655
    霸州
    Bazhou
    FY3B 0.168 0.145 0.083 0.402 0.001 186
    SMOS 0.221 0.208 0.076 0.240 0.001 299
    SMAP 0.166 0.156 0.057 0.388 0.001 239
    ERA-Land 0.134 0.120 0.059 0.414 0.001 622
    GLDAS 0.129 0.120 0.048 0.527 0.001 622
    GLEAM 0.094 0.080 0.050 0.446 0.001 622
    威县
    Weixian
    FY3B 0.126 0.007 0.126 0.314 0.001 201
    SMOS 0.144 0.116 0.084 0.282 0.001 311
    SMAP 0.115 0.100 0.057 0.345 0.001 287
    ERA-Land 0.071 0.047 0.053 0.535 0.001 645
    GLDAS 0.059 0.034 0.049 0.338 0.001 645
    GLEAM 0.051 0.028 0.042 0.455 0.001 645
    栾城
    Luancheng
    FY3B 0.127 0.041 0.120 0.248 0.001 214
    SMOS 0.213 0.193 0.092 −0.049 255
    SMAP 0.165 0.152 0.063 0.204 0.002 262
    ERA-Land 0.114 0.090 0.070 0.229 0.001 633
    GLDAS 0.087 0.061 0.062 0.113 0.01 633
    GLEAM 0.071 0.049 0.052 0.291 0.001 633
      加粗字母表示该站点所有产品中RMSE、Bias、ubRMSE最小值及r最大值。Bold font indicates the minimum value of RMSE, Bias, ubRMSE and maximum value of r for each product on this site.
    下载: 导出CSV

    表  3  不同站点土壤水分产品像元内土地利用类型占比

    Table  3.   Proportion of land use types in each pixels of soil moisture products in different stations

    站点
    Station
    耕地
    Cropland
    建设用地
    Construction land
    其他
    Others
    望都 Wangdu74.7623.381.87
    霸州 Bazhou77.9518.423.63
    威县 Weixian80.3317.562.11
    栾城 Luancheng73.5721.514.92
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-10-19
  • 录用日期:  2021-11-27
  • 网络出版日期:  2021-12-09
  • 刊出日期:  2022-05-18

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