Water quality assessment in a stochastic stream environment

Wade E. Hathhorn; Yeou Koung Tung

Water quality assessment in a stochastic stream environment

Wade E. Hathhorn^*
, Yeou Koung Tung

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

Methodologies are presented within this article to aid in the quantification of the uncertainty in the management of stream water quality. Specifically, means are developed for: (1) establishing the probability distribution of dissolved oxygen and critical location in a stream; (2) finding the critical location under uncertainty; and (3) quantifying the joint risk of violating a given water quality standard with a known deficit over a specified length of the stream environment.

Original language	English
Title of host publication	Environ Eng Proc 1989 Spec Conf
Publisher	Publ by ASCE
Pages	600-607
Number of pages	8
ISBN (Print)	087262711X
Publication status	Published - 1989
Externally published	Yes
Event	Environmental Engineering: Proceedings of the 1989 Specialty Conference - Austin, TX, USA Duration: 10 Jul 1989 → 12 Jul 1989

Publication series

Name	Environ Eng Proc 1989 Spec Conf

Conference

Conference	Environmental Engineering: Proceedings of the 1989 Specialty Conference
City	Austin, TX, USA
Period	10/07/89 → 12/07/89

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Cite this

@inproceedings{cc64b749678740578e5bc63a924cf5c0,

title = "Water quality assessment in a stochastic stream environment",

abstract = "Methodologies are presented within this article to aid in the quantification of the uncertainty in the management of stream water quality. Specifically, means are developed for: (1) establishing the probability distribution of dissolved oxygen and critical location in a stream; (2) finding the critical location under uncertainty; and (3) quantifying the joint risk of violating a given water quality standard with a known deficit over a specified length of the stream environment.",

author = "Hathhorn, \{Wade E.\} and Tung, \{Yeou Koung\}",

year = "1989",

language = "English",

isbn = "087262711X",

series = "Environ Eng Proc 1989 Spec Conf",

publisher = "Publ by ASCE",

pages = "600--607",

booktitle = "Environ Eng Proc 1989 Spec Conf",

note = "Environmental Engineering: Proceedings of the 1989 Specialty Conference ; Conference date: 10-07-1989 Through 12-07-1989",

}

TY - GEN

T1 - Water quality assessment in a stochastic stream environment

AU - Hathhorn, Wade E.

AU - Tung, Yeou Koung

PY - 1989

Y1 - 1989

N2 - Methodologies are presented within this article to aid in the quantification of the uncertainty in the management of stream water quality. Specifically, means are developed for: (1) establishing the probability distribution of dissolved oxygen and critical location in a stream; (2) finding the critical location under uncertainty; and (3) quantifying the joint risk of violating a given water quality standard with a known deficit over a specified length of the stream environment.

AB - Methodologies are presented within this article to aid in the quantification of the uncertainty in the management of stream water quality. Specifically, means are developed for: (1) establishing the probability distribution of dissolved oxygen and critical location in a stream; (2) finding the critical location under uncertainty; and (3) quantifying the joint risk of violating a given water quality standard with a known deficit over a specified length of the stream environment.

UR - https://www.scopus.com/pages/publications/0024865197

M3 - Conference Paper published in a book

AN - SCOPUS:0024865197

SN - 087262711X

T3 - Environ Eng Proc 1989 Spec Conf

SP - 600

EP - 607

BT - Environ Eng Proc 1989 Spec Conf

PB - Publ by ASCE

T2 - Environmental Engineering: Proceedings of the 1989 Specialty Conference

Y2 - 10 July 1989 through 12 July 1989

ER -

Water quality assessment in a stochastic stream environment

Abstract

Publication series

Conference

UN SDGs

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