Using optimization in wellfield operations: An implementation case study at Tampa bay water

Topics in Safety, Risk, Reliability and Quality

Volumn 25, Issue , 2014, Pages 239-263

  Wanakule, Nisai ^a   Adams, Alison ^a  

^a Tampa Bay Water   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84941076786     PISSN: 15660443     EISSN: 22150285     Source Type: Book Series    
DOI: 10.1007/978-3-319-04400-2_8     Document Type: Chapter

References (5)

1. 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
2. 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
3. Fourer R, Gay DM, Kernighan BW (2002) AMPL: a modeling language for mathematical programming, 2nd edn. Duxbury Press/Brooks/Cole Publishing Company, Wisconsin
4. SWFWMD (2012) Final agency action transmittal letter: individual water use permit No. 20011794.002, dated November 27
5. 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