Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework
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Abstract
Extensive efforts to adaptively manage nutrient pollution rely on Chesapeake Bay Program's (Phase 6) Watershed Model, called Chesapeake Assessment Scenario Tool (CAST), which helps decision-makers plan and track implementation of Best Management Practices (BMPs). We describe mathematical characteristics of CAST and develop a constrained nonlinear BMP-subset model, software, and visualization framework. This represents the first publicly available optimization framework for exploring least-cost strategies of pollutant load control for the United States' largest estuary. The optimization identifies implementation options for a BMP subset modeled with load reduction effectiveness factors, and the web interface facilitates interactive exploration of >30,000 solutions organized by objective, nutrient control level, and for ~200 counties. We assess framework performance and demonstrate modeled cost improvements when comparing optimization-suggested proposals with proposals inspired by jurisdiction plans. Stakeholder feedback highlights the framework's current utility for investigating cost-effective tradeoffs and its usefulness as a foundation for future analysis of restoration strategies.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework |
Series title | Environmental Modelling & Software |
DOI | 10.1016/j.envsoft.2021.105141 |
Volume | 144 |
Year Published | 2021 |
Language | English |
Publisher | Elsevier |
Contributing office(s) | VA/WV Water Science Center |
Description | 105141, 18 p. |
Country | United States |
Other Geospatial | Chesapeake Bay watershed |
Google Analytic Metrics | Metrics page |