WATER QUALITY ESTIMATION OF THE INNERMOST PART OF THE ARIAKE SEA BASED ON SATELLITE IMAGES AND FIELD OBSERVATION

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.

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Patterns and dynamics of coastal waters in multi-temporal satellite images: support to water quality monitoring in the Archipelago Sea, Finland

Estuarine Coastal and Shelf Science ◽

10.1016/j.ecss.2003.11.024 ◽

2004 ◽

Vol 60 (2) ◽

pp. 165-177 ◽

Cited By ~ 31

Author(s):

Anne Erkkilä ◽

Risto Kalliola

Keyword(s):

Water Quality ◽

Coastal Waters ◽

Satellite Images ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Archipelago Sea ◽

Multi Temporal

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Water-quality estimation and control in streams

International Journal of Systems Science ◽

10.1080/00207728608926899 ◽

1986 ◽

Vol 17 (10) ◽

pp. 1435-1448

Author(s):

MOHAMED FAHIM HASSAN

Keyword(s):

Water Quality ◽

Quality Estimation ◽

Estimation And Control ◽

And Control

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Phytoplankton-based water quality metrics: feasibility of their use in a Neotropical shallow lake

Marine and Freshwater Research ◽

10.1071/mf18101 ◽

2018 ◽

Vol 69 (11) ◽

pp. 1746 ◽

Cited By ~ 1

Author(s):

Diego Frau ◽

Gisela Mayora ◽

Melina Devercelli

Keyword(s):

Water Quality ◽

Spatial Distribution ◽

Soluble Reactive Phosphorus ◽

Quality Metrics ◽

Ecological Quality ◽

Quality Estimation ◽

Cyanobacteria Blooms ◽

Environmental Variations ◽

Reactive Phosphorus ◽

Q Index

Urban lakes constitute important recreational areas, but often they are eutrophicated. In this study we discuss the utility of 12 ecological quality metrics to test whether they: (1) can be applied to Neotropical lakes; (2) are sensitive to environmental variations throughout the year; and (3) are affected by heterogeneous spatial distribution of phytoplankton. Phytoplankton and environmental variables (including nutrients) were sampled monthly in an urban lake (four littoral and one limnetic station) throughout 1 year (n=60 samples). Twelve ecological quality metrics were tested using total phosphorus as a proxy of eutrophication through general lineal models. The best adjusted metrics were then transformed to an ecological quality ratio (EQR) to allow comparisons. The Phytoplankton Assemblage Index (Q-index) and the Cyanobacteria Bloom Index (CBI) were the most accurate. Differences in water quality estimation occurred across the year, with an overestimation of water quality in the absence of cyanobacteria blooms. There were no differences due to effects of the spatial distribution of phytoplankton. The Q-index was related to temperature and soluble reactive phosphorus, whereas the CBI was related to conductivity. We conclude that the Q-index is the most accurate metric for monitoring purposes, responding well to variations in phosphorus.

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