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基于HYDRUS模拟的ABCD模型变量及参数物理基础研究

王旭东 韩鹏飞 张锁 曹志国 王路军 朱晓倩 邢朕国

王旭东,韩鹏飞,张锁,等. 基于HYDRUS模拟的ABCD模型变量及参数物理基础研究[J]. 水文地质工程地质,2023,50(5): 20-27 doi:  10.16030/j.cnki.issn.1000-3665.202302015
引用本文: 王旭东,韩鹏飞,张锁,等. 基于HYDRUS模拟的ABCD模型变量及参数物理基础研究[J]. 水文地质工程地质,2023,50(5): 20-27 doi:  10.16030/j.cnki.issn.1000-3665.202302015
WANG Xudong, HAN Pengfei, ZHANG Suo, et al. Research on the physical basis of variables and parameters of ABCD model based on HYDRUS simulation[J]. Hydrogeology & Engineering Geology, 2023, 50(5): 20-27 doi:  10.16030/j.cnki.issn.1000-3665.202302015
Citation: WANG Xudong, HAN Pengfei, ZHANG Suo, et al. Research on the physical basis of variables and parameters of ABCD model based on HYDRUS simulation[J]. Hydrogeology & Engineering Geology, 2023, 50(5): 20-27 doi:  10.16030/j.cnki.issn.1000-3665.202302015

基于HYDRUS模拟的ABCD模型变量及参数物理基础研究

doi: 10.16030/j.cnki.issn.1000-3665.202302015
基金项目: 国家自然科学基金项目(42302280);国家能源集团科技项目(GJNY-21-129)
详细信息
    作者简介:

    王旭东(1981-),男,博士,高级工程师,主要从事水文地质研究。E-mail:10000105@ceic.com

    通讯作者:

    韩鹏飞(1988-),男,博士,讲师,主要从事水文模型和水文地质研究。E-mail:pfhan@cugb.edu.cn

  • 中图分类号: P33

Research on the physical basis of variables and parameters of ABCD model based on HYDRUS simulation

  • 摘要: 以ABCD模型为代表的概念性水文模型是量化水文循环过程的主要手段之一,但是很少有研究检验ABCD模型变量和参数的物理基础及其与传统土壤水力参数的关系。以鄂尔多斯盆地台格庙矿区作为研究区,首先使用HYDRUS-1D软件构建站点尺度土壤-植物-大气连续体模型模拟获取非冻结期“真实的”实际蒸散量,其作为目标函数对ABCD模型进行校正,然后对比ABCD模型模拟的土壤水储量和土壤水渗漏量与SPAC模型模拟的结果,通过开展大量情景模拟探究ABCD模型中关键参数ab与传统土壤水力参数之间的关系。结果表明:在站点尺度,ABCD模型可以用于模拟非冻结期月时间尺度的实际蒸散量和土壤水渗漏量;ABCD模型中参数a与饱和含水率、残余含水率和曲线形状参数具有较强的线性相关性,与饱和渗透系数呈对数关系;参数b与饱和含水率和曲线形状参数n具有较强的线性相关性,与饱和渗透系数和曲线形状参数α呈对数关系。研究结果可以提高对概念性水文模型变量和参数物理基础的认识,拓展水文模型在水文地质中的应用。
  • 图  1  研究区地形图

    Figure  1.  Topographic characteristics in the study area

    图  2  SPAC模型和ABCD模型模拟的1961—2012年非冻结期逐月实际蒸散量变化

    Figure  2.  Monthly variation of the actual evapotranspiration simulated by the SPAC model and ABCD model during the non-freezing period from 1961 to 2012

    图  3  SPAC模型和ABCD模型模拟的1961—2012年非冻结期逐月土壤水储量变化

    Figure  3.  Monthly variation of the soil water storage simulated by the SPAC model and ABCD model during the non-freezing period from 1961 to 2012

    图  4  SPAC模型和ABCD模型模拟的1961—2012年非冻结期逐月土壤水渗漏量变化对比

    Figure  4.  Monthly variation of the soil water leakage simulated by the SPAC model and ABCD model during the non-freezing period from 1961 to 2012

    图  5  参数ab与饱和体积含水率(a,b)、残余体积含水率(c,d)、饱和渗透系数(e,f)、曲线形状参数α(g,h)和n(i,j)的关系

    Figure  5.  Relationships between key parameters a and b and the saturated (a, b) and residual (c, d) water content, saturated coefficient of permeability (e, f), and curve parameters α (g,h) and n (i,j)

    表  1  壤砂土土壤特征参数值

    Table  1.   Characteristic parameter values of the loamy sand soil

    参数 wr/(cm3·cm−3 ws/(cm3·cm−3 α/cm−1 n Ks /(cm·d−1 l
    数值 0.078 0.41 0.124 2.28 350.2 0.5
    下载: 导出CSV

    表  2  叶面积指数逐月平均值[16]

    Table  2.   Mean monthly leaf area index[16]

    月份 3月 4月 5月 6月 7月
    叶面积指数 0.110 0.122 0.144 0.177 0.211
    月份 8月 9月 10月 11月
    叶面积指数 0.232 0.201 0.154 0.108
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-02-18
  • 修回日期:  2023-03-10
  • 网络出版日期:  2023-08-17
  • 刊出日期:  2023-09-19

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