Efficient Water Pollution Abatement

Anrew Allman; Proromos Daoutiis; William A. Arnol; E. L. Cussler

doi:10.1021/acs.iecr.9b03241

Efficient Water Pollution Abatement

Anrew Allman, Proromos Daoutiis, William A. Arnol, E. L. Cussler

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The cost of purifying many chemicals is inversely proportional to their fee concentration over 10 orers of magnitue. This empirical proportionality implies that the key to chemical separation is the free energy of unmixing, that is, to entropic effects. It suggests that pollution abatement involves balancing concentration an toxicity using multiobjective optimization, an hence, a strategy for optimizing pollution abatement is obtaine. This knowlege provies insight for policy that incentivizes cleanup of the most important pollutants from contaminate water, whether there is one or many pollutants.

Original language	English (US)
Pages (from-to)	22483-22487
Number of pages	5
Journal	Industrial and Engineering Chemistry Research
Volume	58
Issue number	50
DOIs	https://doi.org/10.1021/acs.iecr.9b03241
State	Published - Dec 18 2019

Bibliographical note

Funding Information:
This work was supported in part by MnDRIVE, an initiative of the University of Minnesota, and in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0000804. Other support came from the Dreyfus Foundation.

Publisher Copyright:
Copyright © 2019 American Chemical Society.

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10.1021/acs.iecr.9b03241

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title = "Efficient Water Pollution Abatement",

abstract = "The cost of purifying many chemicals is inversely proportional to their fee concentration over 10 orers of magnitue. This empirical proportionality implies that the key to chemical separation is the free energy of unmixing, that is, to entropic effects. It suggests that pollution abatement involves balancing concentration an toxicity using multiobjective optimization, an hence, a strategy for optimizing pollution abatement is obtaine. This knowlege provies insight for policy that incentivizes cleanup of the most important pollutants from contaminate water, whether there is one or many pollutants.",

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AU - Allman, Anrew

AU - Daoutiis, Proromos

AU - Arnol, William A.

AU - Cussler, E. L.

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PY - 2019/12/18

Y1 - 2019/12/18

N2 - The cost of purifying many chemicals is inversely proportional to their fee concentration over 10 orers of magnitue. This empirical proportionality implies that the key to chemical separation is the free energy of unmixing, that is, to entropic effects. It suggests that pollution abatement involves balancing concentration an toxicity using multiobjective optimization, an hence, a strategy for optimizing pollution abatement is obtaine. This knowlege provies insight for policy that incentivizes cleanup of the most important pollutants from contaminate water, whether there is one or many pollutants.

AB - The cost of purifying many chemicals is inversely proportional to their fee concentration over 10 orers of magnitue. This empirical proportionality implies that the key to chemical separation is the free energy of unmixing, that is, to entropic effects. It suggests that pollution abatement involves balancing concentration an toxicity using multiobjective optimization, an hence, a strategy for optimizing pollution abatement is obtaine. This knowlege provies insight for policy that incentivizes cleanup of the most important pollutants from contaminate water, whether there is one or many pollutants.

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Efficient Water Pollution Abatement

Abstract

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