基于相似流域法的SWAT模型模拟黄河中游无资料地区径流

选用黄河中游两个小流域,基于相似流域法探求分布式水文模型SWAT在黄河中游小流域无资料地区径流模拟的适用性。通过距离、流域面积相近及属性相似的方法,用已知流域率定参数移植到无资料流域进行径流模拟。选取2009-2013年的日径流与月径流进行模型率定,以效率系数(NS)和决定系数(R2)为评价指标,率定出4个模型敏感系数,并用2014-2016年的日径流与月径流进行模型验证。结果显示:率定期月径流模拟的R2为0. 76,NS为0. 70;日径流模拟的R2为0. 70,NS为0. 64;验证期月径流模拟的R2为0. 82,NS为0. 74;日径流模拟的R2为0. 78,NS为0. 68。说明基于相似流域法的SWAT模型对于无资料的小流域月径流量模拟具有很好的适用性。

SWAT model based on similar watershed method to simulate runoff in the middle Yellow River with no data area

This paper selects two small watersheds in the middle reaches of the Yellow River and uses the similar watershed method to explore the applicability of the distributed hydrological model SWAT to simulate runoff in a small watershed with no data in the middle Yellow River. Using the methods of similar distance, similar watershed area and similar properties, the known watershed rate parameters were transplanted to the no data watershed for runoff simulation. The model was determined by the daily runoff and the monthly runoff from 2009 to 2013. The efficiency coefficient (NS) and the decision coefficient (R²) were used as the evaluation indicators. The sensitivity coefficients of the four models were determined, and the daily runoff from 2014 to 2016 was used to validate the model. The results show that the regular monthly runoff simulation R² is 0.76 and NS is 0.70. For the daily runoff simulation, R² is 0.70, NS is 0.64. For tthe validation period, R² is 0.82, NS is 0.74 for the monthly runoff simulation, and R² is 0.78, NS is 0.68 for the daily runoff simulation. The SWAT model based on the similar watershed method has a good applicability to the monthly runoff simulation of small watersheds with no data.