Multi-objective optimal design for flood risk management with resilience objectives-Reference-Cited by-同舟云学术

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Multi-objective optimal design for flood risk management with resilience objectives

Published:2018-01-08 Issue:4 Volume:32 Page:1147-1162
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Su Hsin-Ting,Cheung Sai Hung,Lo Edmond Yat-Man

Funder

Ministry of Education Academic Research Fund

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-017-1508-7/fulltext.html

Reference47 articles.

1. Babuška I, Nobile F, Tempone R (2007) A stochastic collocation method for elliptic partial differential equations with random input data. SIAM J Numer Anal 45:1005–1034. https://doi.org/10.1137/050645142

2. Barak S, Yousefi M, Maghsoudlou H, Jahangiri S (2016) Energy and GHG emissions management of agricultural systems using multi objective particle swarm optimization algorithm: a case study. Stoch Env Res Risk Assess 30:1167–1187. https://doi.org/10.1007/s00477-015-1098-1

3. Baú DA, Mayer AS (2006) Stochastic management of pump-and-treat strategies using surrogate functions. Adv Water Resour 29:1901–1917. https://doi.org/10.1016/j.advwatres.2006.01.008

4. Buishand TA (1991) Extreme rainfall estimation by combining data from several sites. Hydrol Sci J 36:345–365

5. Castelletti A, Pianosi F, Soncini-Sessa R, Antenucci JP (2010) A multiobjective response surface approach for improved water quality planning in lakes and reservoirs. Water Resour Res. https://doi.org/10.1029/2009wr008389

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