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修正SWAT模型在喀斯特小流域的径流模拟研究

杨丽 杨广斌 李亦秋 李蔓

杨 丽,杨广斌,李亦秋,等. 修正SWAT模型在喀斯特小流域的径流模拟研究−以羊鸡冲小流域为例[J]. 中国岩溶,2024,43(2):1-11 doi: 10.11932/karst2024y011
引用本文: 杨 丽,杨广斌,李亦秋,等. 修正SWAT模型在喀斯特小流域的径流模拟研究−以羊鸡冲小流域为例[J]. 中国岩溶,2024,43(2):1-11 doi: 10.11932/karst2024y011
YANG Li, YANG Guangbin, LI Yiqiu, LI Man. Runoff simulation study of modified SWAT model in karst watershed: A case study of Yangjichong watershed[J]. CARSOLOGICA SINICA. doi: 10.11932/karst2024y011
Citation: YANG Li, YANG Guangbin, LI Yiqiu, LI Man. Runoff simulation study of modified SWAT model in karst watershed: A case study of Yangjichong watershed[J]. CARSOLOGICA SINICA. doi: 10.11932/karst2024y011

修正SWAT模型在喀斯特小流域的径流模拟研究——以羊鸡冲小流域为例

doi: 10.11932/karst2024y011
基金项目: 贵州省科技重大计划项目(黔科合重大专项 [2022]001);贵州省科技支撑项目(黔科合支撑[2023]一般176);贵州省基础研究(自然科学)项目(黔科合基础-ZK[2024]一般445)
详细信息
    作者简介:

    杨丽(2000-),女,硕士研究生,研究方向:3S技术与水土保持。E-mail:1125832457@qq.com

    通讯作者:

    杨广斌(1973-),男,教授,研究方向:地理信息系统与遥感。E-mail:ygbyln@163.com

Runoff simulation study of modified SWAT model in karst watershed: A case study of Yangjichong watershed

  • 摘要: 在贵州喀斯特地区,地表径流通过土壤裂隙、岩溶管道等途径流失,其限制了地表径流的形成。文章以龙里羊鸡冲小流域为研究区,基于2013—2019年的实测数据,修正SWAT(Soil and Water Assessment Tool)模型的裂隙流模块,修改了裂缝入渗的表示方法,对修正前后的日径流模拟进行对比分析。结果表明:率定期内纳什系数由0.32提升到0.60,决定系数由提高0.37提升到0.58。在验证期内,纳什系数由0.52提高到0.55,决定系数由0.56提高到0.60,修正后的模型与原模型相比具有更好的适用性。修正后的模型的径流时间序列与实测数据更吻合,能合理估算研究区的入渗水量。为喀斯特小流域的水资源管理提供参考依据。

     

  • 图  1  研究区地理位置示意图

    Figure  1.  Geographical location of the study area

    图  2  SWAT模型修正流程

    Figure  2.  SWAT model correction process

    图  3  SWAT模型修正前后径流量模拟对比

    Figure  3.  Simulation comparison of runoff capacity before and after SWAT model correction

    图  4  2017年径流量模拟对比图

    Figure  4.  Comparison of runoff simulations in 2017

    图  5  SWAT模型修正前后径流模拟散点图

    Figure  5.  Scatter plot of runoff simulation before and after SWAT model correction

    图  6  模型修正前后的月均入渗量与地表径流的变化

    Figure  6.  Changes of average monthly infiltration and surface runoff before and after model correction

    图  7  SWAT模型修正前后月入渗量随降雨量的变化

    Figure  7.  Changes of monthly infiltration with rainfall before and after SWAT model correction

    表  1  数据详情及来源

    Table  1.   Data details and sources

    数据类型 数据描述 数据来源
    数字高程模型 DEM数据分辨率10 m×10 m 由1:10000地形图采集生成
    土壤类型和属性数据 10 m×10 m 查阅自《贵州土种志》[21]、中国土壤属性库
    土地利用数据 10 m×10 m 高分辨率影像解译与实地调查验证获取
    气象数据 2013—2019年逐日气象数据(降雨量、最高和
    最低温度、相对湿度、风速和日照时数)
    国家气象科学数据中心(http://data.cma.cn
    水文数据(龙里羊鸡冲站) 2013—2019年逐日流量数据 龙里羊鸡冲监测站提供
    下载: 导出CSV

    表  2  参数敏感性分析结果对比

    Table  2.   Comparison of analysis results of parameters' sensitivity

    参数名称 参数含义 取值范围 修正SWAT 原始SWAT
    t-Stat P-Value 排名 t-Stat P-Value 排名
    SOL_BD(..).sol 土壤表层湿容重 [−0.5,0.5] 9.14 0.00 1 0.89 0.38 7
    SOL_CRK.sol 土壤剖面潜在或最大裂隙体积 [0,1] 2.61 0.01 2 1.24 0.23 3
    CANMX.hru 最大根系深度 [0,100] 2.07 0.04 3 −0.90 0.38 6
    CN2.mgt SCS径流曲线数 [−0.5,0.5] −1.44 0.15 4 0.30 0.77 16
    GW_DELAY.gw 地下水滞后时间 [1,500] 1.40 0.16 5 −0.76 0.45 10
    LAT_TTIME.hru 侧向流的运动时间 [0,180] 1.33 0.19 6 0.21 0.84 17
    SLSUBBSN.hru 平均坡长 [10,150] −0.98 0.33 7 0.01 0.99 21
    HRU_SLP.hru 平均坡度 [0,0.6] 0.8 0.42 8 −4.02 0.00 1
    CH_N2.rte 主河道曼宁系数值 [0,0.3] 0.05 0.96 9 1.37 0.18 2
    下载: 导出CSV

    表  3  模型日径流模拟评价指标

    Table  3.   Evaluation index of the model's daily runoff simulation

    率定期验证期
    NSER2PBIASNSER2PBIAS
    原始 SWAT0.320.3722.5%0.520.5619.9%
    修正 SWAT0.600.5821.0%0.550.6021.0%
    下载: 导出CSV

    表  4  HRU在模型修正前后的入渗量和地表径流

    Table  4.   Infiltration and surface runoff of HRU before and after model correction

    模型 入渗量/mm 土壤含水量/mm 地表径流/mm
    SWAT 0.23 139.53 3.98
    修正 SWAT 0.84 158.30 3.14
    下载: 导出CSV
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  • 收稿日期:  2023-11-10
  • 录用日期:  2024-01-29
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