Abstract
This chapter includes simulation–optimization analysis of water supply in central Florida using integrated surface and groundwater modeling to allocate groundwater pumping that is protective of the natural ecosystem while meeting water supply demands of over 2 million people using a mix of surface water, groundwater and desalinated water.
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References
Asefa T, Adams A (2007) Short-term urban water demand forecasting models in action: challenges from model development to implementation to real-time operation, ASCE World Environmental & Water Resources Congress, Tampa, Florida, 5–19 May 2007
Asefa T, Wanakule N, Adams A (2007) Field-scale application of three types of neural networks to predict groundwater levels. J Am Water Resour Assoc 43(5):1245–1256. doi:10.1111/j.1752-1688.2007.00107
Fourer R, Gay DM, Kernighan BW (2002) AMPL: a modeling language for mathematical programming, 2nd edn. Duxbury Press/Brooks/Cole Publishing Company, Wisconsin
SWFWMD (2012) Final agency action transmittal letter: individual water use permit No. 20011794.002, dated November 27
Wanakule N (2009) Development and Validation of the New Unit Response Matrix for the Optimized Regional Operations Plan (OROP) Model, Tampa Bay Water, Clearwater, Florida
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Wanakule, N., Adams, A. (2014). Using Optimization in Wellfield Operations: An Implementation Case Study at Tampa Bay Water. In: Introduction to Optimization Analysis in Hydrosystem Engineering. Topics in Safety, Risk, Reliability and Quality, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-04400-2_8
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DOI: https://doi.org/10.1007/978-3-319-04400-2_8
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