Abstract
Suspended particular matter (SPM) concentration is one of the parameters in assessing water quality. The monitoring of the long-term variations of suspended particular matter is of great value for lake management and ecological restoration in lake water. As an important lake in the north of China, Hulun Lake is an important part of the "One Lake, Two Seas" initiative. The monitoring of its water quality changes is of great significance to ensuring the ecological security in Northern China. Through the processing of MODIS Aqua data from 2002 to 2021, and by mitigating the impact of water vapor and ozone absorption as well as Rayleigh scattering, we derived Rayleigh-corrected reflectance (Rrc), and subsequently generated the dataset of monthly and yearly mean suspended particulate matter concentration in Hulun Lake spanning the years from 2002 to 2021. The average percentage error of the model was verified to be 16.5%, which can meet the practical needs of long-term observation of the suspended particulate matter in lakes. This dataset can provide theoretical support and practical reference for the monitoring of ecological changes and environmental management of water quality in Hulun Lake.
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