### Abstract

Environmental engineering decisions are often made with limited information. In such cases it is useful to express uncertain quantities with a probability distribution. The use of information theory to estimate probability distributions, given limited information, is illustrated in this paper. Such distributions are as 'broad' as possible consistent with available information, and therefore represent what is known in an objective way. The distributions can be used directly to aid decision-making or as input to stochastic computer models. The estimation of the distribution of particle sizes in a filter media using information theory is demonstrated.

Original language | English |
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Title of host publication | Environmental Engineering |

Editors | Peter A. Krenkel |

Place of Publication | New York, NY, United States |

Publisher | Publ by ASCE |

Pages | 586-591 |

Number of pages | 6 |

ISBN (Print) | 0872628108 |

State | Published - Jan 1 1991 |

Externally published | Yes |

Event | Proceedings of the 1991 Specialty Conference on Environmental Engineering - Reno, NV, USA Duration: Jul 8 1991 → Jul 10 1991 |

### Other

Other | Proceedings of the 1991 Specialty Conference on Environmental Engineering |
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City | Reno, NV, USA |

Period | 7/8/91 → 7/10/91 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Environmental Engineering*(pp. 586-591). New York, NY, United States: Publ by ASCE.

**Information entropy and environmental engineering.** / Englehardt, James Douglas; Lund, Jay R.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Environmental Engineering.*Publ by ASCE, New York, NY, United States, pp. 586-591, Proceedings of the 1991 Specialty Conference on Environmental Engineering, Reno, NV, USA, 7/8/91.

}

TY - GEN

T1 - Information entropy and environmental engineering

AU - Englehardt, James Douglas

AU - Lund, Jay R.

PY - 1991/1/1

Y1 - 1991/1/1

N2 - Environmental engineering decisions are often made with limited information. In such cases it is useful to express uncertain quantities with a probability distribution. The use of information theory to estimate probability distributions, given limited information, is illustrated in this paper. Such distributions are as 'broad' as possible consistent with available information, and therefore represent what is known in an objective way. The distributions can be used directly to aid decision-making or as input to stochastic computer models. The estimation of the distribution of particle sizes in a filter media using information theory is demonstrated.

AB - Environmental engineering decisions are often made with limited information. In such cases it is useful to express uncertain quantities with a probability distribution. The use of information theory to estimate probability distributions, given limited information, is illustrated in this paper. Such distributions are as 'broad' as possible consistent with available information, and therefore represent what is known in an objective way. The distributions can be used directly to aid decision-making or as input to stochastic computer models. The estimation of the distribution of particle sizes in a filter media using information theory is demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=0025749326&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025749326&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0025749326

SN - 0872628108

SP - 586

EP - 591

BT - Environmental Engineering

A2 - Krenkel, Peter A.

PB - Publ by ASCE

CY - New York, NY, United States

ER -