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Journal Article
Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water
- Authors
- Jong Cheol Pyo, Yong Sung Kwon, Jae-Hyun Ahn, Sang-Soo Baek, Yong-Hwan Kwon, Kyung Hwa Cho
- Issue Date
- 2021-02
- Citation
- Remote Sensing, v.13, no.4, pp.1-21
- ISSN
- 2072-4292
- Publisher
- MDPI
- Language
- English
- Type
- Journal Article
- Abstract
- Remote sensing can detect and map algal blooms. The HydroLight (Sequoia Scientific Inc., Bellevue, Washington, DC, USA) model generates the reflectance profiles of various water bodies. However, the influence of model parameters has rarely been investigated for inland water. Moreo-ver, the simulation time of the HydroLight model increases as the amount of input data increases, which limits the practicality of the HydroLight model. This study developed a graphical user interface (GUI) software for the sensitivity analysis of the HydroLight model through multiple execu-tions. The GUI software stably performed parameter sensitivity analysis and substantially reduced the simulation time by up to 92%. The GUI software results for lake water show that the backscat-tering ratio was the most important parameter for estimating vertical reflectance profiles. Based on the sensitivity analysis results, parameter calibration of the HydroLight model was performed. The reflectance profiles obtained using the optimized parameters agreed with observed profiles, with R2 values of over 0.98. Thus, a strong relationship between the backscattering coefficient and the observed cyanobacteria genera cells was identified.
- KSP Keywords
- Algal blooms, Analysis and optimization, Backscattering coefficient, Lake water, Model parameter, Numerical model, Optimized parameters, Parameter calibration, Remote Sensing(RS), User interface(UI), Water bodies
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
