基于HWSD的GSAC模型网格化产流参数估计与校正

发布时间：2018-05-06 22:20

本文选题：GSAC模型 + 网格化产流参数　；参考：《农业机械学报》2017年09期

【摘要】：针对基于网格的萨克拉门托模型(GSAC)产流参数难以估计的问题,提出利用世界和谐土壤数据库(HWSD)土壤属性数据估计和校正该模型产流参数的方法。首先,采用HWSD土粒百分含量和土壤质地分类数据估算流域各网格顶层(T层)与底层(S层)土壤的凋萎系数、田间持水量、饱和含水量等土壤水分常数;再采用一个气候指数和HWSD的T层张力水容量、田间持水量及凋萎系数推求GSAC模型上层厚度,继而利用上层厚度将流域各网格的HWSD土壤水分常数转换为GSAC模型上、下层土壤水分常数;最后利用GSAC模型上层厚度与转换了的土壤水分常数估计流域各网格的产流参数;在估计产流参数的同时,采用12个系数对这些产流参数进行校正,所有的校正系数通过自由搜索(FS)算法率定GSAC模型确定。呼兰河流域的应用结果表明:基于HWSD土壤属性数据估计GSAC模型网格化产流参数的方法简便易行,利用校正产流参数驱动的GSAC模型在率定期与验证期的纳什效率系数(NSEC)分别为0.81和0.83,与不校正产流参数情况相比,校正产流参数的GSAC模型能够取得更高的模拟精度。
[Abstract]:Aiming at the difficulty of estimating the runoff parameters of Sacramento model based on grid, a method to estimate and correct the runoff parameters of the model by using the soil attribute data of World harmonious soil Database (HWSDD) is proposed. Firstly, soil wilting coefficient, field water holding capacity, saturated water content and soil moisture constant were estimated by HWSD soil grain percentage and soil texture classification data. Using a climate index and T layer tension water capacity of HWSD, field water holding capacity and wilting coefficient, the upper layer thickness of GSAC model was derived, and then the HWSD soil moisture constant of each grid was converted to GSAC model by using the upper layer thickness. Finally, the upper layer thickness of the GSAC model and the converted soil moisture constant are used to estimate the runoff yield parameters of each grid in the basin, while the runoff yield parameters are estimated, and 12 coefficients are used to correct the runoff yield parameters. All correction coefficients are determined by free search GSAC algorithm. The application results of the Hulan River basin show that the method of estimating the gridding runoff parameters of the GSAC model based on the soil attribute data of HWSD is simple and convenient. The NSECs of the GSAC model driven by the adjusted runoff parameters are 0.81 and 0.83 respectively in the rate periodic and the verification period. Compared with those without the correction of the runoff parameters, the GSAC model with the corrected runoff parameters can obtain higher simulation accuracy.
【作者单位】：东北农业大学水利与土木工程学院;农业部农业水资源高效利用重点实验室;扬州大学水利与能源动力工程学院;三峡大学水利与环境学院;水利部发展研究中心;
【基金】：国家重点研发计划项目(2016YFC0400101) 国家自然科学基金项目(51009026、41271046) 中国电力建设股份有限公司科技课题项目(DJ-ZDZX-2016-02) 农业部农业水资源高效利用重点实验室开放课题项目(2015002)
【分类号】：S152.7

【相似文献】