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Library Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales

Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales

Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales

Resource information

Date of publication
December 2012
Resource Language
ISBN / Resource ID
AGRIS:US201500195299
Pages
48-58

The relationship among land cover, topography, built structure and stream water quality in the Portland Metro region of Oregon and Clark County, Washington areas, USA, is analyzed using ordinary least squares (OLS) and geographically weighted (GWR) multiple regression models. Two scales of analysis, a sectional watershed and a buffer, offered a local and a global investigation of the sources of stream pollutants. Model accuracy, measured by R² values, fluctuated according to the scale, season, and regression method used. While most wet season water quality parameters are associated with urban land covers, most dry season water quality parameters are related topographic features such as elevation and slope. GWR models, which take into consideration local relations of spatial autocorrelation, had stronger results than OLS regression models. In the multiple regression models, sectioned watershed results were consistently better than the sectioned buffer results, except for dry season pH and stream temperature parameters. This suggests that while riparian land cover does have an effect on water quality, a wider contributing area needs to be included in order to account for distant sources of pollutants.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Pratt, Bethany
Chang, Heejun

Publisher(s)
Data Provider
Geographical focus