Comparison of Biota Species Sensitivity Distributions to Nonylphenol in China and the United States

DOI

10.2991/bep-16.2017.54How to use a DOI?

Keywords

Nonylphenol; Species Sensitivity Distribution (SSD); Hazardous Concentration for 5% of the Species (HC5); water quality criteria

Abstract

Based on the acute toxicity data for aquatic organisms from China and the United States, species sensitivity distributions (SSDs) were developed to derive to HC5 (the Hazardous Concentration for 5% of the species). Sensitivity to NP in taxa of vertebrates, invertebrates and plants were compared separately between China and USA. The results show that: (1) The SSD model which constructed by Log-Logistic distribution is robust; (2) Under the 95% protection level, the sensitivity of all aquatic organisms both in China and the United States was in the order: vertebrates >invertebrates and plants; (3) Based on the HC5 value for short-term exposure to NP, vertebrates are more sensitive in China than in the United States when the sensitivity of invertebrates and plants is similar both in China and the United States; (4) The sensitivity distributions derived for all species in the United States is 7.65 g/L higher than that in China. Therefore, in determining the water quality criteria based on the sensitivities of all species, we should also consider the influence of SSD of individual groups.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Liangmao ZHANG
AU  - Caidi WEI
AU  - Mingwei SONG
PY  - 2016/12
DA  - 2016/12
TI  - Comparison of Biota Species Sensitivity Distributions to Nonylphenol in China and the United States
BT  - Proceedings of the 2016 International Conference on Biological Engineering and Pharmacy (BEP 2016)
PB  - Atlantis Press
SP  - 249
EP  - 251
SN  - 2468-5747
UR  - https://doi.org/10.2991/bep-16.2017.54
DO  - 10.2991/bep-16.2017.54
ID  - ZHANG2016/12
ER  -