Optimization of Pumping Costs and Harvested Volume for a Stormwater Harvesting System-Reference-Cited by-同舟云学术

Optimization of Pumping Costs and Harvested Volume for a Stormwater Harvesting System

Published:2018-08 Issue:8 Volume:144 Page:05018011
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Blinco Lisa J.¹,Simpson Angus R.²,Lambert Martin F.³,Marchi Angela⁴

Affiliation:

1. South Australian Water Corporation, Adelaide, SA 5000, Australia; Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia (corresponding author).

2. Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia; School of Civil, Environmental and Mining Engineering, Cooperative Research Centre for Water Sensitive Cities, Melbourne 3800, Australia.

3. Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia; School of Civil, Environmental and Mining Engineering, Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia.

4. Postdoctoral Researcher, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia; School of Civil, Environmental and Mining Engineering, Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000968

Reference20 articles.

1. Framework for the optimization of the design and operation of systems with different alternative water sources;Blinco L. J.;Earth Perspect.,2017

2. Comparison of Pumping Regimes for Water Distribution Systems to Minimize Cost and Greenhouse Gases

3. Stormwater harvesting: Assessing operational system performance;Burns M. J.;Aust. J. Water Resour.,2008

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

5. Multiobjective Optimization of Distributed Stormwater Harvesting Systems

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