Effects of detection limits on spatial modeling of water quality in lakes

Song, Zhuoyan; Chomicki, Krista M.; Drouillard, Kenneth G.; Weidman, R. Paul

doi:10.1016/j.scitotenv.2022.161052

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…The empirical method is predominantly used to invert water quality parameters through the utilization of hyperspectral technology, owing to its simplicity and ease of use [12]. The analysis method, which relies on the water body radiation transfer mechanism as the theoretical foundation of water color remote sensing, follows a meticulous physical derivation process [13,14]. The model parameters possess evident physical significance, making it well-suited for the inversion of water color and various water quality parameters, such as chlorophyll-a, suspended solids, and yellow substances [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Inversion of Water Quality TN-TP Values Based on Hyperspectral Features and Model Validation

Luo,

Guo,

Liu

et al. 2023

ridg

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Using hyperspectral data collected in January and June 2022 from the Sha River, the concentrations of total nitrogen (TN) and total phosphorus (TP) were estimated using the differential method. The results indicate that the optimal bands for estimation vary monthly due to temperature fluctuations. In the TN model, the power function model at 586 nm in January exhibited the strongest fit, yielding a fit coefficient (R 2 ) of 0.95 and F-value of 164.57 at a significance level (p) of less than 0.01. Conversely, the exponential model at 477 nm in June provided the best fit, with R 2 = 0.93 and F = 80.95 at p < 0.01. In the TP model, the exponential model fit of the differential values at 851 nm with TP in January produced the best results, with R 2 = 0.78 and F = 20.61. However, the overall fit in June outperformed that in January. Specifically, the quadratic and linear model fits of the differential values at 824 and 863 nm with TP achieved R 2 = 0.96 and F-values of 34.42 and 203.34, respectively.

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