Literature DB >> 28783322

Cost-Effective River Water Quality Management using Integrated Real-Time Control Technology.

Fanlin Meng1, Guangtao Fu1, David Butler1.   

Abstract

Integrated real-time control (RTC) of urban wastewater systems is increasingly presented as a promising and emerging strategy to deliver improved surface water quality by responsive operation according to real-time data collected from the sewer system, treatment plant, and the receiving water. However, the detailed benefits and costs associated with integrated RTC have yet to be comprehensively evaluated. Built on state-of-the-art modeling and analytical tools, a three-step framework is proposed to develop integrated RTC strategies which cost-effectively maximize environmental outcomes. Results from a case study show integrated RTC can improve river quality by over 20% to meet the "good status" requirements of the EU Water Framework Directive with a 15% reduced cost, due to responsive aeration with changing environmental assimilation capacity. The cost-effectiveness of integrated RTC strategies is further demonstrated against tightening environmental standards (to the strictest levels) and against two commonly used compliance strategies. Compared to current practices (seasonal/monthly based operation), integrated RTC strategies can reduce costs while improving resilience of the system to disturbances and reducing environmental risk.

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Year:  2017        PMID: 28783322     DOI: 10.1021/acs.est.7b01727

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  A new concept for risk analysis relating to the degradation of water reservoirs.

Authors:  Krzysztof Boryczko; Lilianna Bartoszek; Piotr Koszelnik; Janusz R Rak
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-29       Impact factor: 4.223

2.  Regulatory Implications of Integrated Real-Time Control Technology under Environmental Uncertainty.

Authors:  Fanlin Meng; Guangtao Fu; David Butler
Journal:  Environ Sci Technol       Date:  2020-01-22       Impact factor: 9.028

  2 in total

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