非参数核密度估计在铜、银物种敏感度分布中的应用

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Abstract

Species sensitivity distribution curves of copper and silver were constructed using non-parametric kernel density estimation model to protect Chinese freshwater aquatic life, and then their water quality criteria thresholds were derived. The results showed that the robustness and accuracy of non-parametric kernel density estimation method are superior to the traditional parameters models to derive water quality criteria for two transition metals of Group IB. After comparing different taxa of two metals, we found that HC5values of vertebrates, invertebrates, fish, crustaceans, other invertebrates and all aquatic organisms were inversely proportional to atomic number. The sensitivity of invertebrates was significantly higher than that of vertebrates at high trophic level. The proposed method enriched the methodological foundation for water quality criteria and provided an alternative approach for developing SSDs of the same group and period elements to support for protection of aquatic organisms.

Key words： copper silver freshwater quality criteria non-parametric kernel density estimation species sensitivity distribution

Received: 01 September 2016

PACS:

X171.5

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	Articles by authors
	WANG Ying
	FENG Cheng-lian
	MU Yun-song
	HE Jia
	QIE Yu
	WU Feng-chang

Cite this article:

WANG Ying,FENG Cheng-lian,MU Yun-song等. Application of non-parametric kernel density estimation for developing species sensitivity distributions of copper and silver[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(4): 1548-1555.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2017/V37/I4/1548

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