@article{(Open Science Index):https://publications.waset.org/pdf/10002592,
	  title     = {Auto-Calibration and Optimization of Large-Scale Water Resources Systems},
	  author    = {Arash Parehkar and  S. Jamshid Mousavi and  Shoubo Bayazidi and  Vahid Karami and  Laleh Shahidi and  Arash Azaranfar and  Ali Moridi and  M. Shabakhti and  Tayebeh Ariyan and  Mitra Tofigh and  Kaveh Masoumi and  Alireza Motahari},
	  country	= {},
	  institution	= {},
	  abstract     = {Water resource systems modeling has constantly been
a challenge through history for human beings. As the innovative
methodological development is evolving alongside computer sciences
on one hand, researches are likely to confront more complex and
larger water resources systems due to new challenges regarding
increased water demands, climate change and human interventions,
socio-economic concerns, and environment protection and
sustainability. In this research, an automatic calibration scheme has
been applied on the Gilan’s large-scale water resource model using
mathematical programming. The water resource model’s calibration
is developed in order to attune unknown water return flows from
demand sites in the complex Sefidroud irrigation network and other
related areas. The calibration procedure is validated by comparing
several gauged river outflows from the system in the past with model
results. The calibration results are pleasantly reasonable presenting a
rational insight of the system. Subsequently, the unknown optimized
parameters were used in a basin-scale linear optimization model with
the ability to evaluate the system’s performance against a reduced
inflow scenario in future. Results showed an acceptable match
between predicted and observed outflows from the system at selected
hydrometric stations. Moreover, an efficient operating policy was
determined for Sefidroud dam leading to a minimum water shortage
in the reduced inflow scenario.
},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {8},
	  number    = {3},
	  year      = {2014},
	  pages     = {233 - 239},
	  ee        = {https://publications.waset.org/pdf/10002592},
	  url   	= {https://publications.waset.org/vol/87},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 87, 2014},
	}