Numerical modelling of rock scour: Case study ofWivenhoe Dam (Australia)

2014 ◽  
pp. 397-404 ◽  
Author(s):  
E Bollaert ◽  
C Stratford ◽  
E Lesleighter
Keyword(s):  
Numerical Modelling ◽  
Rock Scour

Morphodynamics of a Seasonal Inlet: A Case Study Using Remote Sensing and Numerical Modelling for Cua Dai Inlet, Central Vietnam

APAC 2019 ◽  
2019 ◽  
pp. 417-425
Author(s):  
Anh T. K. Do ◽  
Vasiliki E. Kralli ◽  
Sierd De Vries ◽  
Viet T. Nguyen ◽  
Marcel J. F. Stive
Keyword(s):  
Remote Sensing ◽  
Numerical Modelling ◽  
Central Vietnam

scholarly journals Case study of ozone anomalies over northern Russia in the 2015/2016 winter: measurements and numerical modelling

2018 ◽  
Vol 36 (6) ◽  
pp. 1495-1505 ◽  
Author(s):  
Yury M. Timofeyev ◽  
Sergei P. Smyshlyaev ◽  
Yana A. Virolainen ◽  
Alexander S. Garkusha ◽  
Alexander V. Polyakov ◽  
...  
Keyword(s):  
Numerical Modelling ◽  
Three Dimensional ◽  
The Arctic ◽  
Atmospheric Models ◽  
Remote Sensing Techniques ◽  
Infrared Fourier Spectrometer ◽  
Northern Russia ◽  
Stratospheric Clouds

Abstract. Episodes of extremely low ozone columns were observed over the territory of Russia in the Arctic winter of 2015/2016 and the beginning of spring 2016. We compare total ozone columns (TOCs) from different remote sensing techniques (satellite and ground-based observations) with results of numerical modelling over the territory of the Urals and Siberia for this period. We demonstrate that the provided monitoring systems (including the new Russian Infrared Fourier Spectrometer IKFS-2) and modern three-dimensional atmospheric models can capture the observed TOC anomalies. However, the results of observations and modelling show differences of up to 20 %–30 % in TOC measurements. Analysis of the role of chemical and dynamical processes demonstrates that the observed short-term TOC variability is not a result of local photochemical loss initiated by heterogeneous halogen activation on particles of polar stratospheric clouds that formed under low temperatures in the mid-winter.

Synoptic analysis and mesoscale numerical modelling of heavy precipitation: a case study of flash flood event in Kota Kinabalu, Malaysia

2019 ◽  
Vol 132 (2) ◽  
pp. 181-201
Author(s):  
Jackson Hian-Wui Chang ◽  
S. S. K. Kong ◽  
Justin Sentian ◽  
Jedol Dayou ◽  
Fuei-Pien Chee
Keyword(s):  
Numerical Modelling ◽  
Flash Flood ◽  
Heavy Precipitation ◽  
Flood Event ◽  
Synoptic Analysis

scholarly journals Numerical Modelling as a Support Tool for River Habitat Studies: An Italian Case Study

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 482 ◽  
Author(s):  
Michael Nones
Keyword(s):  
Numerical Modelling ◽  
Diversity Index ◽  
Numerical Models ◽  
Habitat Diversity ◽  
Qualitative Description ◽  
Po River ◽  
Environmental Diversity ◽  
Support Tool ◽  
Italian Case

Numerical modelling is becoming a major tool for supporting environmental studies at different scales, thanks to the ability of up-to-date codes to reproduce the complex mechanisms of the natural environment in quite a reliable manner. In evaluating the habitat diversity of anthropized rivers, however, many issues are rising because of the intrinsic complexity of the physical processes involved and the limitations associated with numerical models. Using a reach of the Po River in Italy as a case study, the present works aims to provide a qualitative description of the changes of the Eco-Environmental Diversity index as a response to different constant flow discharges typically observed along this reach. The goals are achieved by means of two solvers of the freeware iRIC suite, applied in cascade to first simulate the 2D fluvial hydrodynamics and subsequently provide a qualitative estimate of the habitat conditions. Despite the several simplifications intrinsically present in the modelling cascade and the ones introduced for practical purposes, the results show that an extremely strong and long-lasting reduction of the flow discharge, like the one very recently observed, can ultimately threaten the overall biological status of the river. Because of the modelling uncertainties, these preliminary outcomes are only qualitative and show the need for more research, both in terms of data acquisition and numerical schematization, to adequately and quantitatively evaluate the effects of transient hydrology on the river ecosystems. Moreover, additional field surveys are necessary to calibrate and validate the used biological parameters, aiming to obtain sufficiently reliable estimates.

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