Modeling Success: Strategies for Effective Water Quality Management
120 - Mapping Lake Arlington Water Quality Parameters (Chlorophyll-a, Phycocyanin, and Turbidity) at a Regional Scale Integrating Sentinel-2 (S2) Observations with ArcGIS Pro
Because inland lakes and reservoirs are essential providers of ecological, environmental, and hydrological benefits to humanity, it is essential to monitor water quality on a regular basis. Monitoring water quality is a pivotal step for preventing the spread of diseases and pollutants that can harm both the human population and the environment. However, water quality analysis is usually performed in laboratory environments, often with the use of high-cost equipment and qualified professionals. Circumscribed resources for conventional in-situ monitoring of waterbodies covering large geographic areas frequently result in reactive responses to outbursts of HAB. Remote sensing methodologies for water monitoring rely on using Sentinel-2 and Sentinel-3. HAB indicators are a good low-cost option to traditional methods and have been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality. To assist in better water quality management for Lake Arlington, Arlington, Texas. We utilized the ESRI water quality toolbox in ArcGIS Pro. This enables the detection, monitoring, and quantification of HAB indicators (chlorophyll-a, phycocyanin, and turbidity) using Sentinel-2 imagery. Finally, we assess the correlation between the relative water quality index values and field-based observations obtained from the Texas Commission on Environmental Quality (TCEQ) and the United States Geological Survey (USGS) Data through the application of linear regression analysis. The outcomes of our analysis reveal a robust R-squared value of 0.89.