Decline of suspended particulate matter concentrations in Lake Taihu from 1984 to 2020: observations from Landsat TM and OLI

Author:

Yin Ziyao123,Li Junsheng123,Liu Yao4,Zhang Fangfang12,Wang Shenglei12,Xie Ya15,Gao Min15

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences

2. International Research Center of Big Data for Sustainable Development Goals

3. University of Chinese Academy of Sciences

4. Land Satellite Remote Sensing Application Center

5. China University of Geosciences (Beijing)

Abstract

Suspended particulate matter (SPM) affects the optical properties of water, which can be used as a marker of water quality. The water quality of Lake Taihu has changed immensely since the 1980's. However, despite the link between water quality and SPM, long-term systematic studies on SPM have not been conducted in this lake. Here, we used Landsat-5 TM and Landsat-8 OLI data to model changes in the SPM concentration of Lake Taihu from 1984 to 2020. Various models were generated, calibrated, and finally validated using in situ SPM, remote sensing reflectance (Rrs) data, and synchronous satellite data. After comparing various commonly used models, it was found that the exponential model based on band combination [R rs (red) + R rs (NIR)/R rs (green)] had the highest accuracy, with an average unbiased relative error greater than 35%. Subsequently, the SPM products of Lake Taihu during 1984–2020 were generated. Overall, the SPM concentration showed a downward trend over the study period, which might be primarily attributable to a decline in wind speed. These findings may assist in the conservation of Lake Taihu and its associated water resources.

Funder

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics

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