Using Optimization in Wellfield Operations: An Implementation Case Study at Tampa Bay Water

Author:

Wanakule Nisai,Adams Alison

Publisher

Springer International Publishing

Reference5 articles.

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

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