摘要
为解决子流域与网格河道之间的匹配问题,在新安江模型(XAJ)的基础上,采用考虑旁侧入流的扩散波和修正后的Muskingum-Cunge-Todini(MCT)2种演算法对河道汇流计算进行改进,建立了XAJ-DCH模型。分别采用原新安江模型的Muskingum以及XAJ-DCH模型中的MCT和扩散波演算法对呈村流域进行洪水模拟,模拟结果表明:呈村流域率定期和验证期的洪峰相对误差为-20%~20%,洪量相对误差为-10%~10%,确定性系数都大于0.7,并且3种方法的洪峰相对误差、洪量相对误差、确定性系数模拟的结果相似,从而验证了XAJ-DCH模型的合理性;相比于新安江模型,XAJ-DCH模型不仅可以用于出口站点的流量模拟,同时可以预测流域内部河道断面的水位和流量;由于汇流计算模块中引入了扩散波方法,可提高模型在地势平缓地区的预报精度。
On the basis of the original Xin’anjiang model,this study solved the matching problem between sub-catchment and grid channel,and enabled the model to calculate channel routing according to actual river conditions.A hybrid rainfall-runoff model(named XAJ-DCH)was further proposed by coupling the XAJ model with diffusion wave method and Muskingum-Cunge-Todini(MCT)method by accounting for the lateral inflow.The flood prediction capabilities of the traditional XAJ model and the XAJ-DCH model were compared at hourly scale for the Chengcun catchment.The performance of both models is comparable and satisfactory,and thus,the rationality of the new model is verified.By improving the channel routing method in the Xin’anjiang model,the spatiotemporal variability can be further considered.Furthermore,compared with the Xin’anjiang model,the XAJ-DCH model can not only be used to simulate the discharge at the outlet station,but also to predict the water level and discharge of the interior station in the catchment.In addition,the diffusion wave method was introduced into the XAJ-DCH model,which can improve the prediction accuracy in hydraulically mild slope area by accounting for the backwater effects.
作者
李致家
臧帅宏
刘志雨
徐杰
董鹏飞
马亚楠
LI Zhijia;ZANG Shuaihong;LIU Zhiyu;XU Jie;DONG Pengfei;MA Ya’nan(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;Bureau of Hydrology,Ministry of Water Resources of China,Beijing 100053,China;Fushan District Bureau of Water Conservancy Bureaus,Yantai 265500,China)
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2020年第3期189-194,共6页
Journal of Hohai University(Natural Sciences)
基金
国家自然科学基金(51679061)
国家重点研发计划(2018YFC1508103)。
