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Flood Risk and Vulnerability Analysis Project - Atlantic Climate ...

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determination of the degree <strong>and</strong> nature of instability, including watercourse changes <strong>and</strong> also<br />

quantification of active channel widths <strong>and</strong> gravel area, braiding indices, sinuosity <strong>and</strong> channel<br />

occupancy indices. Identification of me<strong>and</strong>ers <strong>and</strong> related alternation of pool-riffle sequences<br />

controlling the local distribution of bank erosion can also enable construction of a channel<br />

migration zone (CMZ) hazard map. Using raster-based GIS techniques, these data can then be<br />

combined with measurements of distance from river channel <strong>and</strong> flood return periods, to create<br />

a model which enables spatial mapping of river bank erosion probabilities (probabilities that can<br />

then be mapped for hypothetical floods of, for example, 10 <strong>and</strong> 25 year recurrence interval).<br />

In the initial stages of this analysis, however, three key reasons were identified why the above<br />

approach would not be practical for this study.<br />

Firstly, this assessment was to be founded upon the satellite imagery that was acquired to<br />

support the l<strong>and</strong> classification <strong>and</strong> change detection analysis which is also a component of this<br />

project. The initial investigation of the quality of available satellite data for the initial period<br />

(Earth Observation for Sustainable Development of Forests [EOSD] data which was generated<br />

from 30-meter L<strong>and</strong>sat satellite imagery from the year 2000) for this project indicated that the<br />

spatial resolution of the imagery would not support useful interpretation <strong>and</strong> delineation of most<br />

of the channels under scrutiny, i.e., the satellite imagery is too coarse to resolve subtle changes<br />

in the bank changes of quite narrow rivers. Use of aerial imagery may have improved the spatial<br />

resolution issue, but this approach was beyond the current project scope given the cost <strong>and</strong><br />

effort involved to acquire <strong>and</strong> process the large number of images required to support analysis<br />

of even a single reach of watercourse.<br />

Secondly, the geomorphologic context of many streams in the study is incised bedrock,<br />

meaning the importance of me<strong>and</strong>ering is relatively insignificant compared to, for example, a<br />

dynamic gravel bed river in the Canadian Rockies.<br />

Thirdly, we recognized that although this type of analysis might be worthwhile in a more detailed<br />

study (e.g., Phase II study), for this project the details obtainable using this approach would not<br />

be commensurate with the overall more general methodology developed for this prioritization<br />

analysis.<br />

4.2 Prioritization <strong>Analysis</strong><br />

The overall results are summarized in an Excel spreadsheet based decision matrix outlining<br />

community ranking based on the prioritization parameters previously outlined. One additional<br />

consideration was integrated into the analysis at this stage, namely, the hierarchy of<br />

prioritization parameters. In other words, the concept that some of the parameters used for<br />

prioritization are more important for the analysis than others. In review of the parameters, some,<br />

TA1112733 page 104

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