基于SWAT的径流模拟参数优化方案及不确定性分析

    Study on evolution characteristics of Dagu River runoff into sea and influencing factors

    • 摘要: SWAT模型在水科学领域应用极为广泛,顺序不确定拟合算法(SUFI-2算法)是SWAT校准优化的首选工具,提高SUFI-2算法的率定效率对SWAT的应用十分重要。在SUFI-2算法中设立NS、R2和PBIAS 3种目标函数,在此基础上,分析14种水文相关参数敏感性,基于95PPU不确定性的限制原则(P-factor>0.7且R-factor<1)率定参数范围,结合模拟性能评价的分级准则遴选最佳模拟,最后采用出山店水库1980~2018年水文资料进行验证。结果表明:3个目标函数中,PBIAS对参数变化的响应程度最强,利用PBIAS确定的敏感参数有CN2,CANMX,SOL_BD,GW_DELAY,GWQMN, GW_REVAP,ESCO,RCHRG_DP和SOL_AWC;率定期和验证期模拟不确定性与降水分布相关;遴选的最佳模拟在不同时期表现出的性能稳定高效,证明遴选方法可行。研究成果对于提高水文模型优化效率具有借鉴意义。

       

      Abstract: In order to reveal the evolution characteristics of Dagu River runoff into sea and the main driving factors, Mann-Kendall test and modified Mann-Kendall test, the cumulative departure method and Moving t-test, Morlet continuous complex wavelet analysis were employed to study the Dagu River runoff during 1956 to 2016 and its changing trend, mutation characteristics and variation period. The contribution rates of climate change and human activities to the change of Dagu River runoff were quantitatively calculated by using the rainfall-runoff double cumulative curve. The results showed that the Dagu River runoff showed a significant decreasing trend, with an average decrease rate of 15.85 million m3/a. In 1976, a sudden change occurred from more to less, and the main period of change was 21 years. Human activities were the main factor leading to the reduction of Dagu River runoff, and large-scale water resources development activities have changed the process of water resources transformation in the Dagu River Basin. The research results can provide reference for the development, utilization and protection of water resources in Jiaozhou Bay and the evaluation of ecological environment.

       

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