Modelling Uncertainty in Flood Forecasting Systems
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A01=Shreeda Maskey
A01=Shreedhar Maskey
advanced flood prediction techniques
assessment
Author_Shreeda Maskey
Author_Shreedhar Maskey
Category=KNB
CDF
Conditional PDF
environmental risk analysis
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first
Flood Forecasting
Flood Forecasting Model
Flood Forecasting Systems
Flood Warning
Forecast Hour
Forecast Water Levels
Forecasted Discharges
FOSM Method
function
fuzzy
fuzzy logic applications
Fuzzy Random Variable
Fuzzy Set
Fuzzy Set Theory
Fuzzy Variables
Glue
hydrological modelling
Loire River
MC
membership
MF
Model Uncertainty
Monte Carlo simulation
number
Observed Water Levels
order
Possibilistic Uncertainty
probabilistic methods
set
theory
UB
Uncertainty Assessment
uncertainty quantification
Uniform Precipitation
variables
Vice Versa
Product details
- ISBN 9781138475052
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 02 Oct 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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A hydroinformatics system represents an electronic knowledge encapsulator that models part of the real world and can be used for the simulation and analysis of physical, chemical and biological processes in water systems, in order to achieve a better management of the aquatic environment. Thus, modelling is at the heart of hydroinformatics. The theory of nonlinear dynamics and chaos, and the extent to which recent improvements in the understanding of inherently nonlinear natural processes present challenges to the use of mathematical models in the analysis of water and environmental systems, are elaborated in this work. In particular, it demonstrates that the deterministic chaos present in many nonlinear systems can impose fundamental limitations on our ability to predict behaviour, even when well-defined mathematical models exist. On the other hand, methodologies and tools from the theory of nonlinear dynamics and chaos can provide means for a better accuracy of short-term predictions as demonstrated through the practical applications in this work.
Shreedhar Maskey was born on 24 December 1966 in Charikot, in the district Dolkha, Nepal. In 1990, he graduated in Civil Engineering from Tribhuvan University in Nepal. Since 1991 he served in the same university as a lecturer until he joined UNESCO-IHE (then IRE-Delft) in 1997 to participate in the Master's Programme in Hydroinformatics. He received the Master of Science degree with distinction in hydro informatics in April 1 999. Since April 1999 he has been at UNESCO-IRE as a PhD research fellow. During this period he also worked for the COWl project (Apr. 1999 - Dec. 1999) and the OS1RIS2 project (Jan. 2000 - Mar. 2003) and assisted in various ways in the Hydroinformatics Master's Programme.
