This report presents the results from the first year of a water quality monitoring project initiated by Canadian Forest Products Ltd., Prince George Region. The primary objective of this project is to evaluate the effectiveness of the Stream Crossing Quality Index (SCQI) as a tool for predicting the effects of stream crossings on water quality (i.e. turbidity). CanFor has selected the SCQI as a sustainable forest management (SFM) indicator for meeting the goal of conservation of water quality. The results of this project are used to evaluate the usefulness of the SCQI as an SFM indicator. Stream Crossing Quality Index (SCQI) assessments were performed during 2002 on a total of 281 stream crossings in the Anzac, Chilako, Inzana Lake, Seebach and Government Creek areas. Eighteen (18) of these crossings were selected for continuous turbidity monitoring to formally evaluate the SCQI methodology as a Sustainable Forest Management indicator of Water Quality. The 2002 SCQI Evaluation was intended to answer two questions: 1. Can the SCQI methodology predict with reasonable consistency whether or not the amount of sediment generated by the stream crossing will exceed the Provincial water quality guidelines? 2. If situations arise where SCQI Evaluation results are not favourable, how can the SCQI procedure be adjusted, modified or adapted to provide acceptable results? Of the original 18 crossings outfitted with turbidity monitoring equipment, 14 crossings provided functional data sets for analyses (See Table E1). Overall, data from 86% of these crossings (12 of 14) indicated a reasonable correspondence between the Water Quality Concern Rating (WQCR) assigned to the crossing and the frequency of the crossing producing sediment following rain events. The SCQI methodology failed to accurately describe unique situations at 2 of the 14 crossings. There was no correspondence between the WQCR and sediment delivery at those two crossings following rain events. Further examination of these two crossings has identified opportunities to adapt the SCQI methodology and improve its ability as a forecasting model and indicator of Water Quality. Rationale for adapting the SCQI methodology is provided with discussion in Section 4.0. P. Beaudry and Associates Ltd.
P. Beaudry and Associates Ltd.. 2003. Stream crossing quality index (SCQI) evaluation for CanFor's Prince George operations: 2002 field monitoring season. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2003MR160