Computational method for prediction enhancement of a river flood simulation

Mostrar todas las versiones(2)
Detalles Bibliográficos
Autor Principal: Gaudiani, Adriana Angélica
Otros autores o Colaboradores: Luque, Emilio, García, Pablo S., Re, Mariano, Naiouf, Ricardo Marcelo, De Giusti, Armando Eduardo
Formato: Capítulo de libro
Lengua:inglés
Temas:
MODELOS COMPUTACIONALES
inundaciones
Acceso en línea:Consultar en el Cátalogo
Resumen:The occurrence of flood events has become more frequent in many parts of the world over the past 30 years and, consequently, more people are exposed to flood damages. Modeling and computational simulation provide powerful tools which enable us to forecast, in order to reduce flood damages. This work is oriented to address input parameter uncertainty toward providing a methodology to tune the flood simulator and so achieve lower errors between simulated and observed results. Even a much reduced parameter set is considered to run the flood simulator, the search space is large. The results obtained by using a parametric simulation heuristic and a clustering technique are promising and a reduction of the search space was achieved, consequently we could reduce the computational cost of the search for the best scenario and the optimization scheme implemented enables us to get a better understanding of the problem.
Notas:Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (260,2 kB )

MARC

LEADER 00000naa a2200000 a 4500
003 AR-LpUFIB
005 20250423183218.0
008 230201s2014 xx r 000 0 eng d
024 8 |a DIF-M7580  |b 7800  |z DIF006812 
040 |a AR-LpUFIB  |b spa  |c AR-LpUFIB 
100 1 |a Gaudiani, Adriana Angélica  |9 47934 
245 1 0 |a Computational method for prediction enhancement of a river flood simulation 
300 |a 1 archivo (260,2 kB ) 
500 |a Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) 
520 |a The occurrence of flood events has become more frequent in many parts of the world over the past 30 years and, consequently, more people are exposed to flood damages. Modeling and computational simulation provide powerful tools which enable us to forecast, in order to reduce flood damages. This work is oriented to address input parameter uncertainty toward providing a methodology to tune the flood simulator and so achieve lower errors between simulated and observed results. Even a much reduced parameter set is considered to run the flood simulator, the search space is large. The results obtained by using a parametric simulation heuristic and a clustering technique are promising and a reduction of the search space was achieved, consequently we could reduce the computational cost of the search for the best scenario and the optimization scheme implemented enables us to get a better understanding of the problem. 
534 |a International Conference on Informatics for Environmental Protection (28va : 2014 : Oldenburg, Alemania). Proceedings. BIS-Verlag, Oldenburg. 
650 4 |a MODELOS COMPUTACIONALES  |9 44030 
653 |a inundaciones 
700 1 |a Luque, Emilio  |9 46169 
700 1 |a García, Pablo S.  |9 47308 
700 1 |a Re, Mariano  |9 48942 
700 1 |a Naiouf, Ricardo Marcelo  |9 43376 
700 1 |a De Giusti, Armando Eduardo  |9 43366 
942 |c CP 
952 |0 0  |1 0  |4 0  |6 A0804  |7 3  |8 BD  |9 81963  |a DIF  |b DIF  |d 2025-03-11  |l 0  |o A0804  |r 2025-03-11 17:04:44  |u http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=1497  |w 2025-03-11  |y CP 
999 |c 56588  |d 56588 

Ejemplares similares