An Optimization Model for Water Resources Management under Uncertainty

Cipta, Hendra; Aisyah, Siti; Rahmadani, Maimunah

The author(s) of this article has(ve) requested that it be retracted from publication

Volume 12, Issue 1, November 2014, Pages 328–335

An Optimization Model for Water Resources Management under Uncertainty

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@article{IJISR-14-308-01,
author = {Hendra Cipta and Siti Aisyah and Maimunah Rahmadani},
title = {{An Optimization Model for Water Resources Management under Uncertainty}},
journal = {International Journal of Innovation and Scientific Research},
volume = {12},
year = {2014},
pages = {328--335},
issue = {1},
number = {1},
issn = {2028-9324},
url = {http://www.ijisr.issr-journals.org/abstract.php?article=IJISR-14-308-01},
abstract_html_url = {http://www.ijisr.issr-journals.org/abstract.php?article=IJISR-14-308-01},
pdf_url = {http://www.issr-journals.org/links/papers.php?journal=ijisr&application=pdf&article=IJISR-14-308-01},
document_type={Article},
source={www.issr-journals.org}
}

TY  - JOUR
ID  - 
TI  - An Optimization Model for Water Resources Management under Uncertainty
AU  - Hendra Cipta
AU  - Siti Aisyah
AU  - Maimunah Rahmadani
PY  - 2014
VL  - 12
IS  - 1
SP  - 328
EP  - 335
JO  - International Journal of Innovation and Scientific Research
T2  - International Journal of Innovation and Scientific Research
SN  - 20289324
UR  - http://www.ijisr.issr-journals.org/abstract.php?article=IJISR-14-308-01
AB  - Mathematical optimization models can used to tackle Water Resource (WR) management problems with a multiperiod feature. Such models handle thousands of constraints and variables depending on the level of adherence required to reach a significant representation of the system. Moreover these problems are typically characterized by a level of uncertainty about the value of hydrological exogenous inflows and demand patterns. A WR model is usually defined in a dynamic planning horizon in which management decisions have to be made either sequentially, by adopting a predefined scenario independently. In this paper we present a scenario analysis approach to perform water system planning and management under climatic and hydrological uncertainty. Different generation techniques can be used to set up and analyze a number of scenarios. Uncertainty is modeled by a scenario-tree in a multistage environment, which includes different possible configurations of inflows in a wide time horizon. The aim is to indetify trends and essential features on which to base a robust decision policy.
ER  -

TY  - JOUR
ID  - 
TI  - An Optimization Model for Water Resources Management under Uncertainty
AU  - Hendra Cipta
AU  - Siti Aisyah
AU  - Maimunah Rahmadani
PY  - 2014
VL  - 12
IS  - 1
SP  - 328
EP  - 335
JO  - International Journal of Innovation and Scientific Research
SN  - 20289324
AB  - 
Mathematical optimization models can used to tackle Water Resource (WR) management problems with a multiperiod feature. Such models handle thousands of constraints and variables depending on the level of adherence required to reach a significant representation of the system. Moreover these problems are typically characterized by a level of uncertainty about the value of hydrological exogenous inflows and demand patterns. A WR model is usually defined in a dynamic planning horizon in which management decisions have to be made either sequentially, by adopting a predefined scenario independently. In this paper we present a scenario analysis approach to perform water system planning and management under climatic and hydrological uncertainty. Different generation techniques can be used to set up and analyze a number of scenarios. Uncertainty is modeled by a scenario-tree in a multistage environment, which includes different possible configurations of inflows in a wide time horizon. The aim is to indetify trends and essential features on which to base a robust decision policy.
ER  -

RT Journal Article
ID IJISR-14-308-01
A1 Hendra Cipta
A1 Siti Aisyah
A1 Maimunah Rahmadani
YR 2014
T1 An Optimization Model for Water Resources Management under Uncertainty
JF International Journal of Innovation and Scientific Research

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Hendra Cipta¹, Siti Aisyah², and Maimunah Rahmadani³

¹ Graduate School of Mathematics, University of Sumatera Utara, Campus USU Medan, 20155, Indonesia
² Graduate School of Mathematics, University of Sumatera Utara, Campus USU Medan, 20155, Indonesia
³ Graduate School of Mathematics, University of Sumatera Utara, Campus USU Medan, 20155, Indonesia

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An Optimization Model for Water Resources Management under Uncertainty