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

A. G. Bobba, B. Ventresca, V. P. Singh, Lars Bengtsson

Research output: Contribution to journalArticlepeer-review


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
Original languageEnglish
Pages (from-to)399-408
JournalComputers & Geosciences
Issue number4
Publication statusPublished - 1996

Subject classification (UKÄ)

  • Water Engineering


Dive into the research topics of 'Computer program (shock) to predict acid shocks in watersheds using stochastic analysis'. Together they form a unique fingerprint.

Cite this