Hyper-spectrum models for monitoring water quality in Dianshan Lake, China

Donghai Lin; Yanling Qiu; Hongyan Huang; Jun Hong; Shihui Wei; Hongen Zhang; Zhiliang Zhu

doi:10.1007/s00343-009-0142-8

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Hyper-spectrum models for monitoring water quality in Dianshan Lake, China

Updated：2023-05-16

- Hyper-spectrum models for monitoring water quality in Dianshan Lake, China
- Journal of Oceanology and Limnology Vol. 27, Issue 1, Pages: 142-146(2009)
- Affiliations：
  
  1. Key Laboratory of Yangtze Aquatic Environment Ministry of Education College of Environmental Science and Engineering Tongji University
  2. School of Ocean and Earth Science Tongji University
- Author bio：
- Funds：
- DOI：10.1007/s00343-009-0142-8
  CLC：
- Online First：27 March 2009，
  
  Published：2009
- Accepted：
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Lin, D., Qiu, Y., Huang, H. et al. Hyper-spectrum models for monitoring water quality in Dianshan Lake, China., Chin. J. Ocean. Limnol. 27, 142–146 (2009). https://doi.org/10.1007/s00343-009-0142-8
DOI：

Lin, D., Qiu, Y., Huang, H. et al. Hyper-spectrum models for monitoring water quality in Dianshan Lake, China., Chin. J. Ocean. Limnol. 27, 142–146 (2009). https://doi.org/10.1007/s00343-009-0142-8 DOI：

摘要

Abstract

The correlation between water quality parameters and hyper-spectral reflectance is studied with models established for each parameter and applied in Dianshan Lake

in the upstream of the Huangpu River running through Shanghai

China. Models are for dissolved oxygen (DO in mg/L): R 720/R 680 = 20.362×(R 720/R 680)2−31.438×(R 720/R 680)+19.156; for turbidity (NTU): R*714.5 = 206.07×(R*714.5)2−582.5×R*714.5 + 423.24; and for total phosphorus (TP in mg/L): R*509.5 = 16.661×(R*509.5)2−32.646×R*509.5+16.116. The R 2 values are 0.770 8

0.660 4 and 0.738 7

respectively

showing strong positive relationships. The models were then applied to assess water quality of different times. Results are quite satisfactory for some samples.

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references

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