Quantitative inversion of suspended particulate matter in Ebinur lake, an arid region: Evidence based on radiative transfer mechanism model
Study region: Situated in the arid region of northwestern China, Ebinur Lake exemplifies a highly turbid inland water system. Changes in the distribution and intensity of suspended particulate matter (SPM) over space and time provide critical insights into the area's ecological dynamics and hyd...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825005439 |
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| Summary: | Study region: Situated in the arid region of northwestern China, Ebinur Lake exemplifies a highly turbid inland water system. Changes in the distribution and intensity of suspended particulate matter (SPM) over space and time provide critical insights into the area's ecological dynamics and hydrological functions. Study focus: To address the limitations of empirical models in optically complex waters, this study develops a multi-parameter spectral lookup table (LUT) based on the Hydrolight radiative transfer model. The LUT incorporates key optical constituents, including chlorophyll-a (Chla), SPM, colored dissolved organic matter (CDOM), and the backscattering probability of suspended particulate matter (ζSPM). An SPM retrieval algorithm based on spectral similarity matching is proposed. Sensitivity analysis indicates that SPM and ζSPM are the primary drivers of remote sensing reflectance (Rrs), while CDOM strongly absorbs in the shortwave region, and Chla exhibits weak, easily masked signals. Validation against Sentinel-3 OLCI reflectance shows strong agreement with simulated spectra (RMSE < 0.027 sr⁻¹ across 15 bands; R² > 0.91). New hydrological insights for the region: The model was applied to Sentinel-3 OLCI imagery during the ice-free period of 2024 to estimate SPM concentrations in Ebinur Lake. Results consistently showed elevated SPM levels in nearshore areas and a slight decline in model performance during autumn. Retrieved SPM distributions align well with in-situ observations. The proposed model demonstrates high accuracy, physical consistency, and robustness for remote sensing inversion of SPM in turbid inland lakes. |
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| ISSN: | 2214-5818 |