상세정보
학술지
Sensitivity Analysis and Optimization of a Radiative Transfer Numerical Model for Turbid Lake Water
- 저자
- 표종철, 권용성, 안재현, 백상수, 권용환, 조경화
- 발행일
- 202102
- 출처
- Remote Sensing, v.13 no.4, pp.1-21
- ISSN
- 2072-4292
- 출판사
- MDPI
- 협약과제
- 20HB1700, 직독식 수질복합센서 및 초분광영상 기반 시공간 복합 인공지능 녹조 예측 기술, 권용환
- 초록
- 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 제안 키워드
- Algal blooms, Analysis and optimization, Graphical User Interface(GUI), Lake water, Model parameter, Numerical models, Optimized parameters, Parameter calibration, Radiative transfer, Remote sensing(RS), Water bodies
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