Computer program (shock) to predict acid shocks in watersheds using stochastic analysis
(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:
https://lup.lub.lu.se/record/2595347
- author
- Bobba, A. G. ; Ventresca, B. ; Singh, V. P. and Bengtsson, Lars LU
- organization
- publishing date
- 1996
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Computers & Geosciences
- volume
- 22
- issue
- 4
- pages
- 399 - 408
- publisher
- Pergamon Press Ltd.
- 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
- 2016-04-01 12:23:22
- date last changed
- 2022-01-27 03:05:20
@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 Press Ltd.}}, 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}}, doi = {{10.1016/0098-3004(95)00102-6}}, volume = {{22}}, year = {{1996}}, }