Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Cecile M.M. Kittel"'
Autor:
Daniel Druce, Xiaoye Tong, Xia Lei, Tao Guo, Cecile M.M. Kittel, Kenneth Grogan, Christian Tottrup
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1663 (2021)
Earth Observation (EO) data is a critical information source for mapping and monitoring water resources over large inaccessible regions where hydrological in-situ networks are sparse. In this paper, we present a simple yet robust method for fusing op
Externí odkaz:
https://doaj.org/article/b961d7b725814765930f7fca8598ac79
Autor:
Xingxing Zhang, Liguang Jiang, Zhaofei Liu, Cecile M.M. Kittel, Zhijun Yao, Daniel Druce, Rui Wang, Christian Tøttrup, Jun Liu, Hou Jiang, Peter Bauer-Gottwein
Publikováno v:
Science of The Total Environment. 862:160656
The flow regime change of rivers, especially transboundary rivers, affected by reservoir regulations is evident worldwide and has received much attention. Investigating dam-induced flow regime alterations is essential for understanding potential adve
Autor:
Jun Liu, Liguang Jiang, Filippo Bandini, Cecile M.M. Kittel, Nicola Balbarini, Nisha G. Hansted, Henrik Grosen, Peter Bauer-Gottwein
Publikováno v:
Liu, J, Jiang, L, Bandini, F, Kittel, C M M, Balbarini, N, Hansted, N G, Grosen, H & Bauer-Gottwein, P 2022, ' Spatio-temporally varying Strickler coefficient : A calibration approach applied to a Danish river using in-situ water surface elevation and UAS altimetry ', Journal of Hydrology, vol. 613, 128443 . https://doi.org/10.1016/j.jhydrol.2022.128443
Hydraulic roughness (e.g., expressed in terms of Manning's or Strickler’s coefficient) is an essential input to numerical hydrodynamic models. One way to estimate roughness parameters is by hydraulic inversion, using observed water surface elevatio