Scientist

Home > Scientists > Yim, Un Hyuk (임운혁)

Browse by Scientists

List
email
Yim, Un Hyuk (임운혁)
researcherid orcid scopus google scholar research gate
Department
Ecological Risk Research Department (생태위해성연구부)
Research Interests
Oil Spill Environmental Forensics, Persistent Organic Pollutants, Marine Aerosol, 유류오염 환경법과학, 지속성유기오염물질, 해양 에어로졸

Keywords Cloud

Co-Working

Publications

선택
닫기

Journal Index

Results 1-20 of 139

ArticleSublethal impacts of Hebei Spirit oil spill on the growth and reproductive physiology of the Pacific oyster Crassostrea gigas at Taean on the West Coast of Korea (2008–2010)SCIESCOPUS

Marine Pollution Bulletin, v.210, 2025

ArticleCharacteristics of sub-micron aerosols in the Yellow Sea and its environmental implicationsSCIESCOPUS

Marine Pollution Bulletin, v.204, 2024

ArticleA comparison of current analytical methods for detecting particulate matter and micro/nanoplasticsSCIESCOPUS

Applied Physics Reviews, v.11, no.1, 2024

ArticleEnvironmental petroleomics – Application of ultrahigh-resolution mass spectrometry for molecular-level understanding of the fate of spilled oilsSCIESCOPUS

Trends in Environmental Analytical Chemistry, v.40, 2023

ArticleUse of molecular composition and compound-specific isotope analysis for source appointment of PAHs in sediments of a highly industrialized areaSCIESCOPUS

Environmental Pollution, v.337, 2023

ArticleEmissions from ships’ activities in the anchorage zone: A potential source of sub-micron aerosols in port areasSCIESCOPUS

Journal of Hazardous Materials, v.457, 2023

ArticleMobile measurement of vehicle emission factors in a roadway tunnel: A concentration gradient approachSCIESCOPUS

Chemosphere, v.328, 2023

ArticleEstimating vehicular emission factors and vehicle-induced turbulence: Application of an air quality sensor array for continuous multipoint monitoring in a tunnelSCIESCOPUS

Atmospheric Pollution Research, v.14, no.7, 2023

ArticleCapillary flow velocity profile analysis on paper-based microfluidic chips for screening oil types using machine learningSCIESCOPUS

Journal of Hazardous Materials, v.447, 2023

ArticleA Data-Driven Binary-Regression Framework for Rapid Screening of Marine Fuel OilSCIESCOPUSKCI

Ocean Science Journal, v.58, no.1, pp.10 - 10, 2023

ArticleChemical characterization of sub-micron aerosols over the East Sea (Sea of Japan)SCIESCOPUS

Science of the Total Environment, v.856, 2023

ArticleBest available technique for the recovery of marine benthic communities in a gravel shore after the oil spill: A mesocosm-based sediment triad assessmentSCIESCOPUS

Journal of Hazardous Materials, v.435, 2022

ArticleMachine learning techniques for chemical and type analysis of ocean oil samples via handheld spectrophotometer deviceSCOPUS

Biosensors and Bioelectronics: X, v.10, 2022

ArticleDetermination of anthropogenic organics in dichlomethane extracts of aerosol particulate matter collected from four different locations in China and Republic of Korea by GC–MS and FTICR–MSSCIESCOPUS

Science of the Total Environment, v.805, 2022

ArticleSediment quality assessment combining chemical and biological (non) target analysisSCIESCOPUS

AQUATIC TOXICOLOGY, v.238, 2021

ArticleDevelopment of a portable oil type classifier using laser-induced fluorescence spectrometer coupled with chemometricsSCIESCOPUS

JOURNAL OF HAZARDOUS MATERIALS, v.416, 2021

ArticleAlkylated phenanthrene distributions in black rockfish (Sebastes schlegelii) and biotransformation into hydroxylated metabolites after intragastric administrationSCIESCOPUS

SCIENCE OF THE TOTAL ENVIRONMENT, v.762, 2021

ArticleHigh-throughput screening of oil fingerprint using FT-IR coupled with chemometricsSCIESCOPUS

SCIENCE OF THE TOTAL ENVIRONMENT, v.760, 2021

ArticleSIFT-MS를 이용한 부산시 대기 중 휘발성유기화합물의 오존생성기여도 산정KCI

한국대기환경학회지, v.36, no.5, pp.645 - 668, 2020

ArticleFormation and distribution of phenanthrene and its metabolites (monohydroxy-phenanthrenes) in Korean rockfish (Sebastes schlegelii)SCIESCOPUS

ENVIRONMENTAL POLLUTION, v.263, 2020

1 2 3 4 5 6 7
Family site

Copyright (c) 2020 KIOST ALL RIGHTS RESERVED.

Browse

KIOST