Non-parametric kernel density estimation of species sensitivity distributions in developing water quality criteria of metals

Kernel Density ◽

Quality Criteria ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Non Parametric ◽

Comparative study of species sensitivity distributions based on non-parametric kernel density estimation for some transition metals

Environmental Pollution ◽

10.1016/j.envpol.2016.11.084 ◽

2017 ◽

Vol 221 ◽

pp. 343-350 ◽

Cited By ~ 6

Author(s):

Ying Wang ◽

Chenglian Feng ◽

Yuedan Liu ◽

Yujie Zhao ◽

Huixian Li ◽

...

Keyword(s):

Transition Metals ◽

Comparative Study ◽

Density Estimation ◽

Kernel Density ◽

Species Sensitivity ◽

Non Parametric ◽

Study on water quality criteria of Endocrine disrupting chemicals in Weihe River based on species sensitivity distributions theory

2011 International Symposium on Water Resource and Environmental Protection ◽

10.1109/iswrep.2011.5893217 ◽

2011 ◽

Author(s):

Weisheng Guan ◽

Jianjun Yang ◽

Ping Lu

Keyword(s):

Water Quality ◽

Endocrine Disrupting Chemicals ◽

Quality Criteria ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Endocrine Disrupting ◽

Weihe River ◽

Environmental and Ecological Risk Assessment - Species Sensitivity Distributions in Ecotoxicology ◽

Use of Species Sensitivity Distributions in the Derivation of Water Quality Criteria for Aquatic Life by the U.S. Environmental Protection Agency

10.1201/9781420032314.ch11 ◽

2001 ◽

Cited By ~ 1

Author(s):

Charles Stephan

Keyword(s):

Water Quality ◽

Environmental Protection ◽

Environmental Protection Agency ◽

Quality Criteria ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Protection Agency ◽

Aquatic Life ◽

The U.S ◽

Comparative analysis of freshwater species sensitivity distributions and ecotoxicity for priority pesticides: Implications for water quality criteria

Ecotoxicology and Environmental Safety ◽

10.1016/j.ecoenv.2019.03.087 ◽

2019 ◽

Vol 176 ◽

pp. 119-124 ◽

Cited By ~ 5

Author(s):

Jia He ◽

Huanqi He ◽

Zhenguang Yan ◽

Fu Gao ◽

Xin Zheng ◽

...

Keyword(s):

Water Quality ◽

Comparative Analysis ◽

Quality Criteria ◽

Water Quality Criteria ◽

Freshwater Species ◽

Species Sensitivity ◽

Comparison of Species Sensitivity Distributions Derived from Interspecies Correlation Models to Distributions used to Derive Water Quality Criteria

Environmental Science & Technology ◽

10.1021/es702302e ◽

2008 ◽

Vol 42 (8) ◽

pp. 3076-3083 ◽

Cited By ~ 58

Author(s):

Scott D. Dyer ◽

Donald J. Versteeg ◽

Scott E. Belanger ◽

Joel G. Chaney ◽

Sandy Raimondo ◽

...

Keyword(s):

Water Quality ◽

Quality Criteria ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Correlation Models ◽

Reviews of Environmental Contamination and Toxicology - Reviews of Environmental Contamination and Toxicology volume ◽

Setting Water Quality Criteria in China: Approaches for Developing Species Sensitivity Distributions for Metals and Metalloids

10.1007/978-3-319-04411-8_2 ◽

2014 ◽

pp. 35-57

Author(s):

Yuedan Liu ◽

Fengchang Wu ◽

Yunsong Mu ◽

Chenglian Feng ◽

Yixiang Fang ◽

...

Keyword(s):

Water Quality ◽

Quality Criteria ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Metals And Metalloids ◽

Short-term wind speed forecasting based on non-parametric kernel density estimation

IEEE PES Innovative Smart Grid Technologies ◽

10.1109/isgt-asia.2012.6303377 ◽

2012 ◽

Cited By ~ 1

Author(s):

Jiegui Zhou ◽

Jia Hongjie ◽

Zhen Tian ◽

Linlin Hu

Keyword(s):

Wind Speed ◽

Density Estimation ◽

Kernel Density ◽

Short Term ◽

Wind Speed Forecasting ◽

Non Parametric

A Non-Parametric Method to Determine Basic Probability Assignment Based on Kernel Density Estimation

IEEE Access ◽

10.1109/access.2018.2883513 ◽

2018 ◽

Vol 6 ◽

pp. 73509-73519 ◽

Cited By ~ 4

Author(s):

Bowen Qin ◽

Fuyuan Xiao

Keyword(s):

Density Estimation ◽

Parametric Method ◽

Kernel Density ◽

Probability Assignment ◽

Basic Probability Assignment ◽

Basic Probability ◽

Non Parametric

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT) ◽

Wind power prediction errors model and algorithm based on non-parametric kernel density estimation

10.1109/drpt.2015.7432551 ◽

2015 ◽

Cited By ~ 1

Author(s):

Guodong Liao ◽

Jie Ming ◽

Boyuan Wei ◽

Hongji Xiang ◽

Nan Jiang Peng Ai ◽

...

Keyword(s):

Wind Power ◽

Density Estimation ◽

Kernel Density ◽

Prediction Errors ◽

Power Prediction ◽

Wind Power Prediction ◽

Non Parametric

Prescribing sea water quality criteria for arsenic, cadmium and lead through species sensitivity distribution

Ecotoxicology and Environmental Safety ◽

10.1016/j.ecoenv.2020.111612 ◽

2021 ◽

Vol 208 ◽

pp. 111612

Author(s):

Panneerselvam Karthikeyan ◽

Shambanagouda. R. Marigoudar ◽

Dhandapani Mohan ◽

Krishna Venkatarama Sharma ◽

M.V. Ramana Murthy

Keyword(s):

Water Quality ◽

Sea Water ◽

Quality Criteria ◽

Species Sensitivity Distribution ◽

Water Quality Criteria ◽

Species Sensitivity ◽

Sensitivity Distribution ◽

Cadmium And Lead