Discussion on dual–tree complex wavelet transform and generalized regression neural network based concentration-resolved fluorescence spectroscopy for oil identification-Reference-Cited by-同舟云学术

Discussion on dual–tree complex wavelet transform and generalized regression neural network based concentration-resolved fluorescence spectroscopy for oil identification

Published:2019 Issue:36 Volume:11 Page:4566-4574
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Zhang Lu-Jun¹²³⁴^ORCID,Huang Xiao-Dong¹²³⁴,Wang Yan¹²³⁴,Wang Chun-Yan¹²³⁴,Sun Yong-Zhi⁵²³⁴

Affiliation:

1. Department of Physics and Optoelectronic Engineering

2. Weifang University

3. Weifang

4. China

5. Institute of New Electromagnetic Materials

Abstract

Precisely and rapidly determining the sources of spilled oils, which has posed threats to wildlife, human beings, and the natural environment, can provide scientific evidence for the investigation and handling of spilled oil accidents.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY01155B

Reference36 articles.

1. Characterization of Petroleum Residues with Varying Cutting Depth and Corresponding Vacuum Distillates Derived from Laboratory Deep-Vacuum Fractionation of Unconventional Heavy Oil for an Instructive Utilization Guideline

2. Brine Spills Associated with Unconventional Oil Development in North Dakota