Water quality in river systems: Monte‐Carlo Analysis

Water quality in river systems: Monte‐Carlo Analysis Water quality models are described for a 55‐km stretch of the Bedford Ouse River in central eastern England. The dynamic models relate time‐varying upstream influents to downstream water quality and are stochastic to account for the uncertainty in the system. A stochastic simulation provides forecasts of water quality at a downstream abstraction point in terms of probability distributions, and these are compared with water quality standards, also defined in probabilistic terms. Effluent from the new city of Milton Keynes enters the river at an upstream point, and the impact of the effluent on the aquatic environment is assessed together with the sensitivity of the water quality model to parametric uncertainty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Water quality in river systems: Monte‐Carlo Analysis

Water Resources Research, Volume 15 (2) – Apr 1, 1979

Loading next page...
 
/lp/wiley/water-quality-in-river-systems-monte-carlo-analysis-g2vHKW21ia
Publisher
Wiley
Copyright
Copyright © 1979 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
D.O.I.
10.1029/WR015i002p00451
Publisher site
See Article on Publisher Site

Abstract

Water quality models are described for a 55‐km stretch of the Bedford Ouse River in central eastern England. The dynamic models relate time‐varying upstream influents to downstream water quality and are stochastic to account for the uncertainty in the system. A stochastic simulation provides forecasts of water quality at a downstream abstraction point in terms of probability distributions, and these are compared with water quality standards, also defined in probabilistic terms. Effluent from the new city of Milton Keynes enters the river at an upstream point, and the impact of the effluent on the aquatic environment is assessed together with the sensitivity of the water quality model to parametric uncertainty.

Journal

Water Resources ResearchWiley

Published: Apr 1, 1979

References

  • Stochastic modeling of temperature and flow in rivers
    McMichael, McMichael; Hunter, Hunter
  • Stochastic variation of water quality of the Passaic River
    Mehta, Mehta; Ahlert, Ahlert; Yu, Yu

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off