Spatiotemporal variations of water quality in Baiyangdian Lake in past 37 years based on Landsat time series images

Minghua Cheng; Miao Jiang; Zhaoqiang Huang; Hua Lei; Dongchuan Yan; Fuxiao Zhu

doi:10.1117/12.2637092

29 April 2022 Spatiotemporal variations of water quality in Baiyangdian Lake in past 37 years based on Landsat time series images

Minghua Cheng, Miao Jiang, Zhaoqiang Huang, Hua Lei, Dongchuan Yan, Fuxiao Zhu

Author Affiliations +

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 1224703 (2022) https://doi.org/10.1117/12.2637092
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

Based on 116-phase Landsat satellite remote sensing data between 1984 and 2021, this paper inverted the long-term distribution of water quality parameters such as dissolved oxygen (DO), oxidation-reduction potential (ORP), and chlorophyll-a (Chl-a) of the water in Baiyangdian Lake, and analyzed the spatiotemporal distribution characteristics and variations of water quality in Baiyangdian Lake over 37 years. In terms of temporal scale, the inter-annual variation of DO shows certain stability, and the images with the proportion of pollution-free area reaching 90% or more account for 88.7% of the total, showing no pollution in terms of DO; In terms of ORP, the images with the proportion of pollution-free area reaching 90% or more account for 81.2% of the total, showing no pollution to light pollution; the inter-annual variation of Chl-a concentration shows certain volatility, and the overall performance is light-moderate pollution, but the pollution level has been alleviated in recent years; the pollution status of water quality in Baiyangdian Lake in terms of Chl-a and ORP has a certain correlation. In terms of spatial scale, the spatial distribution pattern of DO and ORP is stable, presenting the characteristic that most areas are pollution-free, and a few areas with more frequent human activities show light and moderate pollution.

Citation Download Citation

Minghua Cheng, Miao Jiang, Zhaoqiang Huang, Hua Lei, Dongchuan Yan, and Fuxiao Zhu "Spatiotemporal variations of water quality in Baiyangdian Lake in past 37 years based on Landsat time series images", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 1224703 (29 April 2022); https://doi.org/10.1117/12.2637092

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KEYWORDS

Pollution

Earth observing sensors

Landsat

Satellites

Data modeling

Image quality

Remote sensing

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