Water Quality Estimation Using Combined Water Chemistry and Field Spectroscopy in the Shenandoah River, Virginia

Mbongowo J. Mbuh, Paul R. Houser and Ako Heidari
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Mbongowo J. Mbuh: George Mason University, Fairfax, VA, USA
Paul R. Houser: George Mason University, Fairfax, VA, USA
Ako Heidari: George Mason University, Fairfax, VA, USA

International Journal of Applied Geospatial Research (IJAGR), 2016, vol. 7, issue 2, 14-37

Abstract: This study investigated the spatial dynamics of water quality across the Shenandoah River basin using spectroscopy and chemometrics to estimate chlorophyll (Chl), colored dissolved organic matter (CDOM) and turbidity using three band combinations and nutrients (total nitrogen and total phosphorous) in the Shenandoah River. The mean Chl a concentration for 555 nm, 560 nm and 640 nm were; 0.31 µg/l, 0.33 µg/l, and 0.51 µg/l respectively. Chlorophyll a showed strong correlations at band 640 (r = 0.92). The bands centered at 670/490 were the best in predicting CDOM and turbidity in the Shenandoah River Basin with an r2 = 0.56. Chemometrics analysis show that total phosphorous, nitrogen and turbidity can be predicted between 450 to 555nm and 670 to 710 nm, the range of wavelengths which indicated better predictability for spectroscopic analysis. The resultant concentration is used to develop predictive models to determine sensitive spectral variables for nitrogen, phosphorous, Chl-a, and CDOM.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jagr00:v:7:y:2016:i:2:p:14-37

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