Back to search

Royal Roads University

Backcasting and Forecasting Boreal Wetland Water Balances Using Weather Data in Reclaimed Landscapes

Abstract

dc:description.abstract

The oil sands mining industry in Alberta must return mined areas to a land capability equivalent to pre-mining conditions. The landscapes contain wetlands sustained by water balances reflecting prevailing weather conditions. Precipitation and evapotranspiration data that have been collected from six weather stations in three reclaimed landscapes were used to backcast and forecast meteorological trends. An autoregressive integrated moving average forecasting model was used to calculate trends in historical data and predict meteorological conditions until 2030 and their effects on wetland water volumes. Rates of annual evapotranspiration exceeded precipitation on an areal basis across the study area. Evapotranspiration gradually declined as landscapes aged. Water volumes in selected wetlands were quantified and analyzed in conjunction with the time series forecasts to support predictions on future water balance. Forecasts will contribute to the assessment of wetland persistence useful for future mine closure planning and provide complementary data for other water balance studies in the region.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Patzer, Mark
Advisor dc:contributor.advisor
  • Ciborowski, Jan, J.H.

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:null:10613/28091

Chain of custody

source
Harvested from
Royal Roads University
Base URL
www.viurrspace.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Patzer, Mark. Backcasting and Forecasting Boreal Wetland Water Balances Using Weather Data in Reclaimed Landscapes. 2024. https://hdl.handle.net/10613/28091