基于较高精度土壤库的三峡水库汇水区径流模拟
发布时间：2018-10-31 15:03
【摘要】：土壤参数控制了水和空气在土壤界面的运动,对区域内水分循环产生主要影响。三峡库区土壤种类众多,区域分异明显,且同一种土壤在不同地区的理化性质也不尽相同。为了能更加精确地模拟库区径流过程,基于SWAT模型,采用了高精度的土壤空间数据,系统研究了土壤属性参数的确定方法,建立了高精度的土壤数据库。用LHOAT方法、SWAT-CUP软件及SUFI-2算法进行了参数敏感性分析、参数率定、模型验证和不确定性分析,对三峡库区2010—2013年的日径流过程进行模拟。结果表明:对径流模拟影响最明显的5个土壤参数为SOL_AWC,SOL_Z,SOL_K,SOL_CBN和SOL_BD。6个水文站率定期和验证期的平均确定性系数、平均纳什效率系数、平均相对误差分别为:0.818,0.798,6.778%,流量模拟值与实测值过程线总体拟合程度较好。研究揭示了土壤参数对径流模拟的潜在影响作用,为大尺度流域水文模拟和区域水量平衡研究可提供基础支持。
[Abstract]:Soil parameters control the movement of water and air at the soil interface and have a major effect on the water circulation in the region. There are many kinds of soils in the three Gorges Reservoir area, the regional differentiation is obvious, and the physical and chemical properties of the same soil are different in different regions. In order to simulate the runoff process of reservoir area more accurately, based on SWAT model, the high precision soil spatial data was adopted, the method of determining soil attribute parameters was studied systematically, and a high precision soil database was established. Using LHOAT method, SWAT-CUP software and SUFI-2 algorithm, the parameter sensitivity analysis, parameter rate determination, model verification and uncertainty analysis are carried out to simulate the daily runoff process in the three Gorges Reservoir area from 2010 to 2013. The results showed that the five soil parameters which had the most obvious effect on runoff simulation were the average deterministic coefficient of SOL_AWC,SOL_Z,SOL_K,SOL_CBN and SOL_BD.6 hydrologic station rate and the average deterministic coefficient of validation period, and the average Nash efficiency coefficient. The average relative error is 0.818 / 0. 798 / 6.778. the overall fitting degree between the simulated flow value and the measured value is good. The study reveals the potential effect of soil parameters on runoff simulation and provides basic support for large-scale basin hydrological simulation and regional water balance research.
【作者单位】： 武汉大学资源与环境科学学院;
【基金】：国家“十二五”重大科技专项水专项项目“三峡库区及上游流域水环境风险评估与预警技术研究与示范课题”(2013ZX07503-001)
【分类号】：P333.1
[Abstract]:Soil parameters control the movement of water and air at the soil interface and have a major effect on the water circulation in the region. There are many kinds of soils in the three Gorges Reservoir area, the regional differentiation is obvious, and the physical and chemical properties of the same soil are different in different regions. In order to simulate the runoff process of reservoir area more accurately, based on SWAT model, the high precision soil spatial data was adopted, the method of determining soil attribute parameters was studied systematically, and a high precision soil database was established. Using LHOAT method, SWAT-CUP software and SUFI-2 algorithm, the parameter sensitivity analysis, parameter rate determination, model verification and uncertainty analysis are carried out to simulate the daily runoff process in the three Gorges Reservoir area from 2010 to 2013. The results showed that the five soil parameters which had the most obvious effect on runoff simulation were the average deterministic coefficient of SOL_AWC,SOL_Z,SOL_K,SOL_CBN and SOL_BD.6 hydrologic station rate and the average deterministic coefficient of validation period, and the average Nash efficiency coefficient. The average relative error is 0.818 / 0. 798 / 6.778. the overall fitting degree between the simulated flow value and the measured value is good. The study reveals the potential effect of soil parameters on runoff simulation and provides basic support for large-scale basin hydrological simulation and regional water balance research.
【作者单位】： 武汉大学资源与环境科学学院;
【基金】：国家“十二五”重大科技专项水专项项目“三峡库区及上游流域水环境风险评估与预警技术研究与示范课题”(2013ZX07503-001)
【分类号】：P333.1
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