基于GEE的中国南海水质反演与富营养化评价

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Abstract Based on the Google Earth Engine (GEE) platform, this study took MODIS data to build water quality inversion models by constructing multivariate feature. The response degree of water quality to MODIS features was SD>COD>TN>Chl-a, and polynomial fitting of water quality parameters was the best model. The spatial and temporal heterogeneity of the four water quality parameters (SD, TN, Chl-a and COD) in the South China Sea was obviously different. The high SD values were mainly distributed in the western Philippines and eastern Vietnam sea areas, and gradually decreased from 2006 to 2018. During 2006 to 2018, the distribution range of TN high values expanded year by year, while the concentration of Chl-a gradually decreased. COD gradually spread from 2006 to 2018. Through three-dimensional trend surface analysis, the spatial variation trend of SD was similar to those of COD, TN and Chl-a, while the spatial variation trend of Chl-a was completely opposite to those of SD and COD. The eutrophication degree of the South China Sea showed an increasing trend from 2006 to 2018, different countries should carry out regional cooperation to manage the marine environment.

Key words： South China Sea spatial and temporal distribution Google Earth Engine MODIS comprehensive nutrition index eutrophication

Received: 01 July 2021

PACS:

X703.5

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	Articles by authors
	WANG Feng-xia
	XIA Zhuo-yi
	GUO Yu-hui
	YANG Zi-qing
	LI Jia-xin
	CHEN Yin-xiao

Cite this article:

WANG Feng-xia,XIA Zhuo-yi,GUO Yu-hui等. Water quality inversion and eutrophication assessment of The South China Sea based on GEE[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(2): 826-833.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I2/826

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