HEC-RAS模型在汉江上游洪水演进和流量重建中的应用

发布时间：2018-06-24 13:24

本文选题：洪水演进 + 流量重建　；参考：《西北农林科技大学学报(自然科学版)》2017年12期

【摘要】：【目的】研究HEC-RAS模型在汉江上游洪水演进和流量重建中的应用效果。【方法】通过对汉江上游安康至白河段的实地考察,基于数字流域平台及HEC-RAS模型对2010年"7·18"、2011年"9·19"2场洪水进行了演进模拟,并结合ArcGIS重现了2场洪水的淹没范围和水深。运用HEC-RAS模型对考察发现的5次洪痕进行洪峰流量的重建,与利用比降面积法的重建结果进行比对,并利用实测数据对重建结果进行了验证。【结果】模型的率定、2场洪水水位与流量等指标的模拟系列和实测系列的纳什效率系数(NSE)及确定性系数(R2)均大于0.91;此外,基于HEC-RAS模型重现的淹没区域与实地调查所得结果吻合度较好,且根据洪痕重建的洪峰流量误差为0.12%~2.88%,重建精度较高,优于比降面积法。【结论】HEC-RAS模型可用于汉江上游洪水的演进模拟和洪峰流量的重建,可视化的淹没范围、水深等成果可为安康市洪灾风险评价提供基础数据。
[Abstract]:[objective] to study the application effect of HEC-RAS model in flood routing and discharge reconstruction in the upper reaches of Hanjiang River. Based on the digital watershed platform and HEC-RAS model, the flood routing of "7.18" in 2010 and "9.19" in 2011 were simulated, and the submergence range and depth of the two floods were recreated with ArcGIS. The HEC-RAS model was used to reconstruct the Hong Feng flow rate of the 5 torrents found in the investigation, and the results were compared with those obtained by using the specific area reduction method. The reconstruction results are verified by the measured data. The NSE coefficient and the deterministic coefficient (R2) of the simulated series and the measured series of indexes, such as water level and discharge of two flood fields, are greater than 0.91in the model, and in addition, the NSE coefficient and the deterministic coefficient (R2) of the measured series are more than 0.91. The submergence area reconstructed by HEC-RAS model is in good agreement with the results obtained from field investigation, and the Hong Feng discharge error of flood mark reconstruction is 0.122.88, and the reconstruction accuracy is high. [conclusion] HEC-RAS model can be used for flood routing simulation and Hong Feng discharge reconstruction in the upper reaches of Hanjiang River, visual submergence range and water depth can provide basic data for flood risk assessment in Ankang City.
【作者单位】：陕西师范大学地理科学与旅游学院/地理学国家级实验教学示范中心;
【基金】：国家自然科学基金项目(71471071) 国家社会科学基金项目(14BZS070) 中央高校基本科研业务费专项(GK201601006)
【分类号】：TV122

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