Mixed land-use stream systems (often with urban expansion; agricultural production) are challenging to risk assess, with multiple chemical stressors impacting surface water quality along such stream corridors.
The larger research question we are working with is: will the coupling of drone data with modeling and extended stakeholder participation enhance sustainable water resources management by improving the transfer of science to policy?
We aim at answering this question by working in the interfaces between disciplines. Project opportunities exist working either from a (i) data acquisition side, which can involved the coupling of field work and simulation using system dynamics software; or (ii) employing innovative methods for participatory stakeholder engagement and water quality modeling.
Project and special course opportunities exist that will enhance/deepen your understanding of:
-how chemical stressors may influence aquatic ecosystem health;
-how multivariate statistics can deepen our understanding of sources and pathways of chemical stressors impacting streams;
-application of SD models for capturing stream water quality for use with stakeholder engagement.
-application of sensors for monitoring stream water quality.
These project topics require interest in one of the following: coupling field-based and modeling approaches for risk assessing the sources of multiple chemical stressors impacting water resources at various scales; or development of decision support systems integrating quantitative ecohydrological modeling with multiple stakeholder interests for linking science with sustainable policy development.