Advanced

Computer program (shock) to predict acid shocks in watersheds using stochastic analysis

Bobba, A. G.; Ventresca, B.; Singh, V. P. and Bengtsson, Lars LU (1996) In Computers & Geosciences 22(4). p.399-408
Abstract
High hydrogen ion concentrations of runoff events were analyzed in terms of the probability distributions of frequency, duration, magnitude, and time of occurrence. Simple stochastic models were applied to the probability distributions of the annual frequency of high hydrogen ion concentration flows and their magnitudes. A consideration of the statistical properties of the given stochastic variables led to the development of a technique with which higher hydrogen flow events exceeding any higher level of interest may be investigated without resorting to reanalysis of the historical data. The proposed methodology was applied to the daily hydrogen ion concentration flow records of Mersey River Watershed, N.S., Canada, which is affected by... (More)
High hydrogen ion concentrations of runoff events were analyzed in terms of the probability distributions of frequency, duration, magnitude, and time of occurrence. Simple stochastic models were applied to the probability distributions of the annual frequency of high hydrogen ion concentration flows and their magnitudes. A consideration of the statistical properties of the given stochastic variables led to the development of a technique with which higher hydrogen flow events exceeding any higher level of interest may be investigated without resorting to reanalysis of the historical data. The proposed methodology was applied to the daily hydrogen ion concentration flow records of Mersey River Watershed, N.S., Canada, which is affected by acid precipitation. Copyright (C) 1996 Elsevier Science Ltd (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computers & Geosciences
volume
22
issue
4
pages
399 - 408
publisher
Pergamon
external identifiers
  • scopus:0029731436
ISSN
1873-7803
DOI
10.1016/0098-3004(95)00102-6
language
English
LU publication?
yes
id
c25ee312-db61-4460-84ee-59bb6306123d (old id 2595347)
date added to LUP
2012-05-31 16:56:01
date last changed
2017-01-01 05:06:03
@article{c25ee312-db61-4460-84ee-59bb6306123d,
  abstract     = {High hydrogen ion concentrations of runoff events were analyzed in terms of the probability distributions of frequency, duration, magnitude, and time of occurrence. Simple stochastic models were applied to the probability distributions of the annual frequency of high hydrogen ion concentration flows and their magnitudes. A consideration of the statistical properties of the given stochastic variables led to the development of a technique with which higher hydrogen flow events exceeding any higher level of interest may be investigated without resorting to reanalysis of the historical data. The proposed methodology was applied to the daily hydrogen ion concentration flow records of Mersey River Watershed, N.S., Canada, which is affected by acid precipitation. Copyright (C) 1996 Elsevier Science Ltd},
  author       = {Bobba, A. G. and Ventresca, B. and Singh, V. P. and Bengtsson, Lars},
  issn         = {1873-7803},
  language     = {eng},
  number       = {4},
  pages        = {399--408},
  publisher    = {Pergamon},
  series       = {Computers & Geosciences},
  title        = {Computer program (shock) to predict acid shocks in watersheds using stochastic analysis},
  url          = {http://dx.doi.org/10.1016/0098-3004(95)00102-6},
  volume       = {22},
  year         = {1996},
}