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基于SWAT与新安江模型场次洪水模拟研究及评估

王啸 石朋 瞿思敏 司伟 戈晓斌

水力发电2024,Vol.50Issue(10):33-41,9.
水力发电2024,Vol.50Issue(10):33-41,9.

基于SWAT与新安江模型场次洪水模拟研究及评估

Sub-flooding Simulation Research and Assessment Based on SWAT Model and Xin'anjiang Model

王啸 1石朋 2瞿思敏 1司伟 1戈晓斌3

作者信息

  • 1. 河海大学水文水资源学院,江苏 南京 210024
  • 2. 河海大学水文水资源学院,江苏 南京 210024||河海大学水安全与水科学协同创新中心,江苏 南京 210024
  • 3. 赣江下游水文水资源监测中心,江西 宜春 336028
  • 折叠

摘要

Abstract

Most of the small and medium-sized rivers are located in the hilly areas where data is scarce,and the flood has the characteristics of sudden strong and short confluence time,which has become the focus and difficulty of the current flood control.At present,the Xin'anjiang(XAJ)model and SWAT(Soil and Water Assessment Tool)model are widely used hydrological models,but there are few studies on their comparative analysis and effect assessment in flood simulation of small and medium-sized rivers.Taking Beiliaonan River as an example,the daily-scale and hourly-scale XAJ model and SWAT model are established respectively,the calculation results of the two models in the key factors such as runoff depth,peak discharge and peak time is evaluated,and the advantages and disadvantages of each model are analyzed.The results show that,(a)during the calibration period,the average values of relative runoff error(RRE),relative peak error(RPE)and peak time error(PTE)for the XAJ model are-2.6%,-4.3%and-0.3 h,respectively,while for the SWAT model,they are-4.3%,-3.3%and-0.1 h,respectively,meaning the XAJ model outperforms the SWAT model in terms of RRE,but the SWAT model performs better than the XAJ model in terms of RPE and PTE,and the simulation of multi-peak floods;and(b)the same conclusion is reached during the validation period as during the calibration period.

关键词

中小河流/洪水模拟/小时尺度SWAT模型/新安江模型/适用性评估

Key words

small and medium-sized river/flood simulation/sub-daily SWAT model/Xin'anjiang Model/applicability evaluation

分类

建筑与水利

引用本文复制引用

王啸,石朋,瞿思敏,司伟,戈晓斌..基于SWAT与新安江模型场次洪水模拟研究及评估[J].水力发电,2024,50(10):33-41,9.

基金项目

国家自然科学基金资助项目(52179011) (52179011)

中央高校基本科研业务费专项(B230201030) (B230201030)

江西省"科技+水利"联合计划项目(2022KSG01006) (2022KSG01006)

水力发电

OACSTPCD

0559-9342

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