We use statistical F-test and the T-test to test the significance of
results under each of the scenarios compared to the baseline
(Tables 4 and 5). The T-test significance is for difference between
means of baseline and other scenario outcomes. Under F-Test,
the significance is for differences in variance in distribution of
baseline and scenario outcome. The variance also reduced through
implementation of the BMPs. This indicates that adaptation of
watershed system can reduce the variability in stormwater events.
The Pearson Rank Correlations for each of the scenario comparisons
were positive.
Our results are consistent with the literature (Marshall and
Randhir, 2008; Zahmatkesh et al., 2014) in assessing the impacts
on climate change on runoff in the watershed. Our results also
agree with the literature (Dakhlalla and Parajuli, 2016; Randhir
and Raposa, 2014; Jia et al., 2015) on the role of BMPs in mitigating
runoff impacts of climate change. In summary, climate change
could have significant impact on watershed processes of the Ipswich
River watershed. Targeted BMPs at the subbasin scale can
be an adaptation strategy to mitigate climatic impacts. The need
for designing BMPs that are scale optimal is useful to reduce
stormwater impacts of climate change.