期刊文献+

不同时间步长对淮河上游次洪产沙模拟的影响

Influence of Different Time Steps on the Simulation of Second Flood Sediment Yield in Upper Reaches of the Huaihe River
下载PDF
导出
摘要 为分析时间步长对次洪产沙模拟的影响,以淮河上游大坡岭水文站以上流域为研究区域,选取2001~2010年具有代表性的10场次洪降雨、径流和含沙量等资料,分别以0.5、1h为时间步长,利用泥沙负荷模型模拟计算了10场次洪产沙过程。结果表明,泥沙负荷模型的9个参数中参数b5、b6、b8随时间步长的变化而变化,且步长变化对b5、b8的影响最大;以沙峰相对误差、确定性系数和峰现时差三个指标综合衡量,时间步长为0.5h的模拟精度总体上高于时间步长为1h的模拟精度。研究成果可为淮河流域及湿润半湿润地区土壤侵蚀模拟提供参考。 In order to study the impact of the time step on the flood event sediment simulation,The Dapoling hydrological station in the upper reaches of the Huaihe River was selected as the case study area.Selected ten typical second flood data in 2001-2010 including rainfall,runoff and sediment concentration,with 0.5hand 1has time step,sediment load model was used to simulate the process of second flood sediment yield.The results show that three parameters(b5,b6 and b8)of the total nine parameters in sediment load model changes over time step,and the impact of time step on b5 and b8is obvious.Taking the sand peak relative error,deterministic coefficient and peak current difference as evaluation indexes,the simulation accuracy with 0.5htime step is better than that of 1htime step.The research results have reference value for soil erosion simulation in the Huaihe River Basin and the humid and semi humid regions.
出处 《水电能源科学》 北大核心 2016年第9期64-66,共3页 Water Resources and Power
基金 国家自然科学基金项目(41171220) 长江学者和创新团队发展计划资助项目(IRT13062) 江苏省"世界水谷"与水生态文明协同创新中心项目(B08048)
关键词 淮河上游 时间步长 次洪产沙 模拟 the upper reaches of the Huaihe River time step second flood sediment yield simulation
  • 相关文献

参考文献7

二级参考文献36

  • 1郝芳华,陈利群,刘昌明,戴东.土地利用变化对产流和产沙的影响分析[J].水土保持学报,2004,18(3):5-8. 被引量:130
  • 2刘昌明,夏军,郭生练,郑红星,王中根,吴险峰,郝芳华.黄河流域分布式水文模型初步研究与进展[J].水科学进展,2004,15(4):495-500. 被引量:70
  • 3张玉斌,郑粉莉,贾媛媛.WEPP模型概述[J].水土保持研究,2004,11(4):146-149. 被引量:50
  • 4庄卫东,汪春.精准农业中UTM投影及反算应用研究[J].黑龙江八一农垦大学学报,2005,17(3):47-50. 被引量:5
  • 5张志强,王盛萍,孙阁,张满良,李建劳.黄土高原吕二沟流域侵蚀产沙对土地利用变化的响应[J].应用生态学报,2005,16(9):1607-1612. 被引量:19
  • 6V'azquez, R. F., Feyen, L., Feyen, J. et al.. Effect of grid size on effective parameters and model performance of the MIKE-SHE code [J]. Hydrological process, 2002, 16: 355-372.
  • 7Dawes, W.R. , Zhang, L., Hatton, T. J., et al . Evaluation of a distributed parameter eco- hydrological model (TOPOG2IRM) on a small cropping rotation catchment [J]. J Hydrol, 1997, 191:64-86.
  • 8Zhang, W., Montgomery, D.R. Digital elevation model grid size, landscape representation, and hydrologic simulations [J]. Water Resources Research, 1994, 30(4): 1019-1028.
  • 9Quinn, P.F, Beven K.J., Lamb R. The In (α/tanβ) index: how to calculate it and how to use it within the TOPMODEL framework[J]. Hydrological Processes, 1995, 9: 161-182.
  • 10Bruneau, P., Gascuel-Odoux C, Robin, P., et al.. Sensitivity to space and time resolution of a hydrological model using digital elevation data [J].Hydrological Processes, 1995, 9: 69-81.

共引文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部