基于无人机多光谱数据的水质参数反演与评价——以海口市永庄水库为例

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Abstract The subject of this paper was Yongzhuang Reservoir, a water source reserve in Haikou. Unmanned aerial vehicles (UAVs) equipped with multi-spectral sensors were utilized to obtain spectral reflectance datasets of water bodies, and fitting modeling was performed with corresponding measured data. Based on this, this paper established optimal inversion models for four water quality parameters, namely total phosphorus (TP), total nitrogen (TN), turbidity (TUB), and Chlorophyll a (Chl-a), for the reservoir's dry and rainy seasons, and conducted spatial water quality evaluation. The results indicated that: the polynomial models all presented the highest accuracy for the TP, TN, and Chl-a inversion models of the water bodies in the Yongzhuang Reservoir's dry and rainy seasons, with an R² greater than 0.5. The accuracy of the TUB inversion model with the polynomial function model was the highest during the dry season, while the accuracy of the linear regression model was the highest during the rainy season. There were notable variations in the spatial distribution of the four water quality parameters in Yongzhuang Reservoir's dry and rainy seasons. In general, the water quality on the west side of the reservoir was good during the dry season, while that on the east side was poor. Additionally, the water quality on the east side of the reservoir was good during the rainy season, while the water quality gradually deteriorated towards the west. It was recommended that sewage intercepting pipelines be strengthened at the urban-rural junction on the reservoir's east side to reduce the direct discharge of imported pollution sources. On the west side of the reservoir, an ecological buffer zone was recommended to be established to intercept agricultural non-point source pollution and reduce the danger of water eutrophication. The findings of this paper could serve as a scientific foundation for the effective monitoring and protection of urban water source reserves.

Key words： unmanned aerial vehicles(UAV) multispectral water quality parameters inversion spatial evaluation Yongzhuang Reservoir

Received: 02 April 2023

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X524

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	ZHANG Le
	LEI Jin-rui
	CHEN Yi-qing
	CHEN Zong-zhu
	ZHOU Peng
	HE Rong-xiao
	WU Ting-tian
	CHEN Xiao-hua
	LI Yuan-ling
	PAN Xiao-yan

Cite this article:

ZHANG Le,LEI Jin-rui,CHEN Yi-qing等. Inversion and evaluation of water quality parameters based on UAV multispectral data: a case study of Yongzhuang Reservoir in Haikou[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(S1): 258-267.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/IS1/258

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