Non Structural Best Management Practice Pollutant Load Reduction Estimation Method

Date / Time:
Tuesday, Oct 20 10:35am to 11:05am
Oak Tree
Track / Session:
Behavior Change / Measuring Impact: Case Studies on Targeting TMDL Pollutants

A. Purpose of the Talk
Limited work has been performed to determine the pollutant load reduction effects of non-structural Best Management Practices (BMPs) for storm water control. This effort sought to quantify through innovative techniques the reduction in pollutant loading that may be anticipated through behavior change, both targeting the public and the municipality, and found that a percent reduction in various constituents could be applied and used for non-structural activities.
B. Description of Main Ideas
The City of San Diego (City) sought to quantify pollutant load reductions from non-structural strategies. The research includes available literature that reports studied effectiveness of non-structural BMP activities. The study has been completed and the results are being incorporated in the City’s MS4 Permit planning efforts.
In developing the method, the team first reviewed meta-analytic studies of pro-environmental behavior. The meta-analytic studies aggregated decades of studies evaluating the behavioral change achieved from public education and outreach efforts. From the meta-analytic research, it was possible to develop predictive estimates on the efficacy of future public education and outreach efforts.
A theoretical method was applied to relate behavior change to changes in pollutant loads for each of the City’s non-structural strategies. Each strategy was aligned with pollutants based on literature reviewed. The effect of the non-structural strategy on the degree of pollutant removed was estimated to evaluate the amount of control a strategy is expected to have on behavior.
C. Summary that Audience Can Apply
Non-structural strategies were estimated to have the potential to affect a range of pollutant load reductions. Evaluating all strategies collectively suggests that approximately 10% pollutant load reduction can be achieved if these strategies are implemented consistently across geographies. Further research is needed to verify elements of the model applied, but this model provides a reasonable method for estimating how much pollutant load reduction may be potentially achievable from a variety of non-structural BMPs.
D. Interactive Experience
This is planned as a presentation of graphical information that will walk the audience through how this challenging problem was resolved. The speaker will use audience feedback to guide the presentation and demonstrate the results. This audience feedback will show how the numbers of people in the audience responding to various polling questions match the results of the study for pro-environmental behavior modifications.
E. Significance to Conference Theme
This study provides the initial results that the MS4 may use for estimating the potential pollutant load reductions they may achieve with non-structural strategies such as behavior change through outreach and education. Based on the literature reviewed, this is the first attempt at quantifying the pollutant load reductions that may occur from non-structural BMP implementation.

Primary Speaker:
Stephanie Shamblin Gray, HDR
Stephanie Shamblin Gray is a Water Project Engineer with HDR in Southern California. Ms. Shamblin Gray’s municipal storm water experience includes non-structural pollutant load reduction research, evaluation of water quality equivalency from alternative storm water options, watershed management planning, and watershed structural programs. Stephanie also assists industrial users with permit compliance.
Supporting Speaker 1:
Clem Brown, City of San Diego
Supporting Speaker 2:
Richard Haimann, HDR
Supporting Speaker 3:
Adam Quinn, SGA