首页> 外文OA文献 >Simultaneous Estimation of Inflow and Channel Roughness Using 2D Hydraulic Models and Particle Filters
【2h】

Simultaneous Estimation of Inflow and Channel Roughness Using 2D Hydraulic Models and Particle Filters

机译:使用二维水力模型和粒子过滤器同时估算流入量和通道的粗糙度

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The Sequential Importance Resampling (SIR) method is introduced to a 2D hydraulic model to estimate inflow and Manning roughness coefficient (Manning’s n) simultaneously. The equifinality problem between theManning’s n and the inflow is considered using the proposed method. To solve the problem, we introduce the variance reduction factor and the correction factor in the perturbation step of the proposed method. The perturbed inflow and Manning’s n are updated according to the observed water stage with state variables. The result of the proposed method shows good agreement with the observed discharge, which enable us to estimate theManning’s n and inflow discharge at the same time considering the uncertainties of the existing rating curve. Finally, it showed that the methodology is not only to estimate the appropriate Manning’s n, but also to improve the existing rating curve.
机译:顺序重要性重采样(SIR)方法被引入2D水力模型中,以同时估算流入量和曼宁粗糙度系数(Manning's n)。使用建议的方法考虑了曼宁n与流入之间的等价性问题。为了解决这个问题,我们在该方法的扰动步骤中引入了方差减小因子和校正因子。扰动的入水量和Manning的n将根据观察到的水位和状态变量进行更新。所提方法的结果与观测到的流量有很好的一致性,这使我们能够在考虑现有额定曲线不确定性的同时估算曼宁的n和流入流量。最后,它表明该方法不仅可以估算适当的曼宁n,而且可以改善现有的评分曲线。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号