Role of river bathymetry in hydraulic modeling of river channels
Role of river bathymetry in hydraulic modeling of river channels
复制标题
河流测深在河道水力建模中的作用
DOI：
10.18178/ijmerr.12.5.275-283
复制
发表时间：
2016
影响因子：
--
通讯作者：
Sayan Dey
中科院分区：
文献类型：
--
作者：
Sayan Dey
戴伊，这是萨扬。普渡大学理工学院硕士学位，2016年8月。河流测深在河道水力模型中的作用主要教授：文卡特什·默韦德。精确的河流水力建模需要对河道进行精确的几何表示。这些通常是通过光探测和测距(LIDAR)等遥感技术获得的。然而，这些技术缺乏有效模拟水下航道床的能力，需要用测量的水深数据来补充，以完整地表示航道水深，这可能是时间和成本高昂的。解决这一问题的另一种选择是开发能够估计水深的概念模型。本研究旨在评估概念性模型--河道形态模型(RCMM)的潜力，该模型通过将河道平面与河道测深联系起来来估算河道水深。从基于RCMM的算法估计信道DEM，并与从LIDAR和基于内插的算法估计的信道DEM进行比较，以评估RCMM的重要性和适用性。五个渠道的数字高程模型分别用于建立三个特征枯水和枯水流量的水力模型。对它们进行评估，以研究通道DEM中误差的传播
Dey, Sayan. M.S.C.E., Purdue University, August 2016. Role of River Bathymetry in Hydraulic Modeling of River Channel. Major Professor: Venkatesh Merwade. Accurate geometric representation of the river channel is required for accurate hydraulic modeling of rivers. These are generally obtained through remote sensing techniques such as Light Detection and Ranging (LIDAR). However, these techniques lack the ability to model the submerged channel bed effectively and need to be complemented with surveyed bathymetric data for complete representation of the channel bathymetry, which can be time and cost prohibitive. An alternative to address this issue is to develop conceptual models that can estimate bathymetry. This study aims to evaluate the potential of a conceptual model, the River Channel Morphology Model (RCMM) which estimates the channel bathymetry by relating channel planform to channel bathymetry. Channel DEMs are estimated from RCMM based algorithms and compared with those estimated from LIDAR and interpolation based algorithms to evaluate the importance and applicability of RCMM. Each of the five channel DEMs is used to develop hydraulic models for three characteristic low and high flows. They are assessed to study the propagation of errors in channel DEM
影响因子：
2.9
作者：
Wynn, Russell B.;Huvenne, Veerle A. I.;Hunt, James E.
通讯作者：
Hunt, James E.
DOI：
10.1016/j.isprsjprs.2009.09.003
发表时间：
2010-01-01
影响因子：
12.7
作者：
Aguilar, Fernando J.;Mills, Jon P.;Perez, Jose L.
通讯作者：
Perez, Jose L.