基于多源遥感数据的艾比湖流域盐土SWAT模型参数修正
发布时间：2019-03-30 15:19
【摘要】：在SWAT(soil and water assessment tool)模型模拟地表分量过程中,常默认土壤剖面电导率(electrical conductivity,EC)值为0或0.1,将其应用于土壤盐渍化程度较高的流域时,不符合下垫面实际情况。为确保水文模拟逼近真实地表模拟过程,进一步提高模拟精度,该文利用GF-1号卫星16 m分辨率多光谱遥感影像结合分类回归树法反演艾比湖流域区域尺度0~100 cm土壤剖面电导率,模拟值与实测值均方根最大值误差为4.81 dS/m,相对误差最大值为15.17%。模拟值用于修正EC值,结果表明:EC值修正后的SWAT模型土壤水分模拟值,较修正前模拟值精度提高23.84个百分点。该方法在实现SWAT模型参数本地化的同时,有效提高了土壤水分模拟精度,可为土壤盐渍化区域水文模拟提供参考。
[Abstract]:In the process of simulating the surface component by SWAT (soil and water assessment tool) model, the default value of soil profile conductivity (electrical conductivity,EC) is 0 or 0.1, which does not accord with the actual situation of the underlying surface when it is applied to the basin with high soil salinization degree. In order to ensure the hydrological simulation approach the real surface simulation process, and further improve the accuracy of the simulation, In this paper, the GF- 1 satellite 16 m resolution multispectral remote sensing image combined with the classification regression tree method was used to retrieve the soil conductivity of 0 / 100 cm soil profile at the regional scale of the Ebihu Lake Basin. The error between the simulated value and the measured RMS maximum value was 4.81 dS/m,. The maximum relative error is 15.17%. The simulated values were used to modify EC values. The results showed that the simulated values of soil moisture in SWAT model with EC values were 23.84 percentage points higher than those before correction. This method can not only localize the parameters of SWAT model, but also improve the accuracy of soil moisture simulation. It can be used as a reference for hydrological simulation of soil salinization region.
【作者单位】： 新疆大学生态学科博士后科研流动站;新疆大学资源与环境科学学院智慧城市与环境建模自治区普通高校重点实验室;新疆交通职业技术学院;新疆大学绿洲生态教育部重点实验室;
【基金】：国家自然科学基金项目(41771470、U1303381、41261090) 自治区重点实验室专项基金(2016D03001) 自治区科技支疆项目(201591101) 教育部促进与美大地区科研合作与高层次人才培养项目
【分类号】：S127;S155.293
本文编号：2450197
[Abstract]:In the process of simulating the surface component by SWAT (soil and water assessment tool) model, the default value of soil profile conductivity (electrical conductivity,EC) is 0 or 0.1, which does not accord with the actual situation of the underlying surface when it is applied to the basin with high soil salinization degree. In order to ensure the hydrological simulation approach the real surface simulation process, and further improve the accuracy of the simulation, In this paper, the GF- 1 satellite 16 m resolution multispectral remote sensing image combined with the classification regression tree method was used to retrieve the soil conductivity of 0 / 100 cm soil profile at the regional scale of the Ebihu Lake Basin. The error between the simulated value and the measured RMS maximum value was 4.81 dS/m,. The maximum relative error is 15.17%. The simulated values were used to modify EC values. The results showed that the simulated values of soil moisture in SWAT model with EC values were 23.84 percentage points higher than those before correction. This method can not only localize the parameters of SWAT model, but also improve the accuracy of soil moisture simulation. It can be used as a reference for hydrological simulation of soil salinization region.
【作者单位】： 新疆大学生态学科博士后科研流动站;新疆大学资源与环境科学学院智慧城市与环境建模自治区普通高校重点实验室;新疆交通职业技术学院;新疆大学绿洲生态教育部重点实验室;
【基金】：国家自然科学基金项目(41771470、U1303381、41261090) 自治区重点实验室专项基金(2016D03001) 自治区科技支疆项目(201591101) 教育部促进与美大地区科研合作与高层次人才培养项目
【分类号】：S127;S155.293
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