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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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Using spatially explicit indicators to investigate watershed characteristics and stream temperature relationships
Zbigniew J Grabowski1, Eric Watson2, Heejun Chang2
1School of the Environment, Portland State University, United States.
The Science of the Total Environment
|February 17, 2016
Summary
Novel watershed indicators reveal how land cover impacts stream temperature in urbanizing areas. Spatially explicit data improve predictions of thermal sensitivity and ecological health.
Area of Science:
- Environmental Science
- Hydrology
- Geomorphology
Background:
- Rapid urbanization alters watershed characteristics, influencing stream thermal regimes.
- Understanding the relationship between land cover and stream temperature is crucial for water resource management.
- Existing methods may not fully capture the complex interactions within drainage basins.
Purpose of the Study:
- To develop novel, spatially explicit indicators of watershed permeability and runoff.
- To examine the relationship between land cover and stream water temperature in urbanizing watersheds.
- To assess the thermal sensitivity of streams based on geomorphological and surface characteristics.
Main Methods:
- Generated four model groups with different landscape characteristic weighting schemes.
- Evaluated 19 variables, including land cover, elevation, slope, and flow accumulation.
- Assessed predictive capacity on five stream thermal properties, including thermal 'flashiness'.
Main Results:
- Spatially explicit landscape indicators combining watershed processes enhanced regression performance.
- Improved prediction accuracy for ecologically relevant stream temperature variables was observed.
- The framework demonstrated adaptability for examining thermal sensitivity in diverse watersheds.
Conclusions:
- Novel indicators improve the prediction of stream thermal variables in urbanizing watersheds.
- Spatially explicit data provide a more hydrologically meaningful understanding of landscape change impacts.
- The adaptable framework aids in rapid investigation of stream thermal conditions and landscape characteristics.

