File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.contributor.advisor Lee, Changsoo -
dc.contributor.author Yun, Daeun -
dc.date.accessioned 2025-09-29T11:31:26Z -
dc.date.available 2025-09-29T11:31:26Z -
dc.date.issued 2025-08 -
dc.description.degree Doctor -
dc.description Department of Civil, Urban, Earth, and Environmental Engineering -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/88284 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000904657 -
dc.language ENG -
dc.publisher Ulsan National Institute of Science and Technology -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject Micropollutant, High resolution mass spectrometry, Water quality modeling, Machine learning -
dc.title Estimation of Micropollutants in Surface Water through High-Resolution Monitoring and Modeling Approaches -
dc.type Thesis -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.