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Environmental Modelling of Hydrological Systems

Bobba, Arabinda Ghosh (1996)
Abstract
Global problems such as atmospheric change, acid rain, and water pollution in surface and subsurface environments dominate discussions of world environmental problems. In this thesis the roles of hydrologic processes and hydrogeochemical processes are investigated through development, modification, and application of models for addressing point and non-point source contamination of water. The movements of pollutants and water are described.



A hydrological model was applied to Northeast Pond River watershed to understand climate change effects in the watershed. Four watershed acidification models were applied. The computed hydrogen ion was used to estimate acidic events, magnitude of hydrogen ion, and duration using a... (More)
Global problems such as atmospheric change, acid rain, and water pollution in surface and subsurface environments dominate discussions of world environmental problems. In this thesis the roles of hydrologic processes and hydrogeochemical processes are investigated through development, modification, and application of models for addressing point and non-point source contamination of water. The movements of pollutants and water are described.



A hydrological model was applied to Northeast Pond River watershed to understand climate change effects in the watershed. Four watershed acidification models were applied. The computed hydrogen ion was used to estimate acidic events, magnitude of hydrogen ion, and duration using a stochastic model. There exist uncertainties in hydrologic models due to imperfect knowledge of processes controlling water quality as well as errors in data. Monte Carlo, first order, and inverse method analyses were used to assess uncertainty in water quality models. SUTRA and inverse SUTRA models were applied to locate ground water discharge areas to St. Clair River, calculate discharge rates, and hydrogeologic parameters.



A sediment contamination model was developed and applied to Great Lakes sediment data to estimate transport parameters. It was then coupled with fatty acid data and results were compared with observed data. A contaminant transport model was developed and applied to two North American steams to compute stream water concentration. A hydrological model was coupled with water quality models and RAISON expert system and applied to Canadian watersheds. Digital satellite data was used to locate ground water discharge and recharge areas in the watershed. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Prof. Cvetkovic, Vladimir, Dept. Water Res. Eng., KTH, Stockholm
publishing date
type
Thesis
publication status
published
subject
keywords
Geophysics, physical oceanography, meteorology, Geofysik, fysisk oceanografi, meteorologi, teknisk geografi, teknisk geologi, Hydrogeologi, geographical and geological engineering, Hydrogeology, uncertainty analysis, data analysis, lake Ontario, contamination, lake sediments, hydrogeochemistry, acidification, non-point pollution, climate change
pages
129 pages
publisher
Department of Water Resources Engineering, Lund Institute of Technology, Lund University
defense location
Hall V:C, V-house, John Ericssonsv. 1
defense date
1996-05-20 10:15:00
external identifiers
  • other:LUTVDG/TVVR-1014
language
English
LU publication?
no
id
53a8afdd-9e9d-4dcb-a81b-2678ecd95de6 (old id 17626)
date added to LUP
2016-04-01 16:56:53
date last changed
2018-11-21 20:45:25
@phdthesis{53a8afdd-9e9d-4dcb-a81b-2678ecd95de6,
  abstract     = {{Global problems such as atmospheric change, acid rain, and water pollution in surface and subsurface environments dominate discussions of world environmental problems. In this thesis the roles of hydrologic processes and hydrogeochemical processes are investigated through development, modification, and application of models for addressing point and non-point source contamination of water. The movements of pollutants and water are described.<br/><br>
<br/><br>
A hydrological model was applied to Northeast Pond River watershed to understand climate change effects in the watershed. Four watershed acidification models were applied. The computed hydrogen ion was used to estimate acidic events, magnitude of hydrogen ion, and duration using a stochastic model. There exist uncertainties in hydrologic models due to imperfect knowledge of processes controlling water quality as well as errors in data. Monte Carlo, first order, and inverse method analyses were used to assess uncertainty in water quality models. SUTRA and inverse SUTRA models were applied to locate ground water discharge areas to St. Clair River, calculate discharge rates, and hydrogeologic parameters.<br/><br>
<br/><br>
A sediment contamination model was developed and applied to Great Lakes sediment data to estimate transport parameters. It was then coupled with fatty acid data and results were compared with observed data. A contaminant transport model was developed and applied to two North American steams to compute stream water concentration. A hydrological model was coupled with water quality models and RAISON expert system and applied to Canadian watersheds. Digital satellite data was used to locate ground water discharge and recharge areas in the watershed.}},
  author       = {{Bobba, Arabinda Ghosh}},
  keywords     = {{Geophysics; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; teknisk geografi; teknisk geologi; Hydrogeologi; geographical and geological engineering; Hydrogeology; uncertainty analysis; data analysis; lake Ontario; contamination; lake sediments; hydrogeochemistry; acidification; non-point pollution; climate change}},
  language     = {{eng}},
  publisher    = {{Department of Water Resources Engineering, Lund Institute of Technology, Lund University}},
  title        = {{Environmental Modelling of Hydrological Systems}},
  year         = {{1996}},
}