Streaming Media
Presentation Abstract
Water quality issues of the Salish Sea system are complexly intertwined, with multiple stakeholders and an extensive management community. Both researchers and regulators have focused on better understanding the impact of human activity on the water quality of the Salish Sea. The modeling efforts primarily focused on the human activity impact on dissolved oxygen based on different nutrient loading scenarios for the Salish Sea. However, to improve the public access and understanding of scenario impacts across various water quality parameters such as dissolved oxygen, nitrogen, and net primary production both spatially and temporally, we designed a low-cost prototype of a web-based visual analytic tool, DORA (Dissolved Oxygen Regional Assessment explorer). DORA was developed by using the open-source language, Python, and the cloud platform, Heroku. DORA would encourage wider stakeholders to access scenario outputs, from students and concerned citizens to managers who want to explore underlying mechanistic processes in the complex decision-making of water quality management.
Session Title
Poster Session 1: Applied Research & Climate Change
Conference Track
SSE14: Posters
Conference Name
Salish Sea Ecosystem Conference (2022 : Online)
Document Type
Event
SSEC Identifier
SSE-posters-467
Start Date
26-4-2022 4:00 PM
End Date
26-4-2022 4:30 PM
Rights
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.
Type
Text
Language
English
Supporting collaborative engagement for water quality management in the Salish Sea with a web-based visual analytic tool, DORA (Dissolved Oxygen Regional Assessment explorer)
Water quality issues of the Salish Sea system are complexly intertwined, with multiple stakeholders and an extensive management community. Both researchers and regulators have focused on better understanding the impact of human activity on the water quality of the Salish Sea. The modeling efforts primarily focused on the human activity impact on dissolved oxygen based on different nutrient loading scenarios for the Salish Sea. However, to improve the public access and understanding of scenario impacts across various water quality parameters such as dissolved oxygen, nitrogen, and net primary production both spatially and temporally, we designed a low-cost prototype of a web-based visual analytic tool, DORA (Dissolved Oxygen Regional Assessment explorer). DORA was developed by using the open-source language, Python, and the cloud platform, Heroku. DORA would encourage wider stakeholders to access scenario outputs, from students and concerned citizens to managers who want to explore underlying mechanistic processes in the complex decision-making of water quality management.
