수질영향평가의 신뢰수준 향상을 위한 기상자료의 검정 KCI

DC Field Value Language
dc.contributor.author 이길하 -
dc.contributor.author 조홍연 -
dc.date.accessioned 2020-04-19T23:41:23Z -
dc.date.available 2020-04-19T23:41:23Z -
dc.date.created 2020-01-28 -
dc.date.issued 2011-10 -
dc.identifier.issn 1225-7184 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/1771 -
dc.description.abstract This study is focused on a climate data integrity to improve water quality assessment due to the social development projects. The study is in an attempt to calculate both extreme ranges of weather data measurements and partly provide means to assess qualification of data which fall within the extremes at the 23 meteorological weather stations. Generally speaking, maximum temperature, minimum temperature, relative humidity, dew point temperature are in the range of reasonable accuracy. However, there found some outliers of the brightness sunshine hours in Cheonan station. Also some years in Gwangju, Seoul, Wonju, Busan, and Jeju never reach to their upper limit and perhaps the calibration of the equipment is doubtful. The users need to take cautions in using the brightness sunshine hour data in preparation of water resources planning and management by estimating evapotranspiration and river discharge, and/or growth rate of the algae (phytoplankton). -
dc.description.uri 2 -
dc.language Korean -
dc.publisher 한국환경영향평가학회 -
dc.title 수질영향평가의 신뢰수준 향상을 위한 기상자료의 검정 -
dc.title.alternative Climate Data Qualification for Water Quality Impact Assessment -
dc.type Article -
dc.citation.endPage 613 -
dc.citation.startPage 601 -
dc.citation.title 환경영향평가 -
dc.citation.volume 20 -
dc.citation.number 5 -
dc.contributor.alternativeName 조홍연 -
dc.identifier.bibliographicCitation 환경영향평가, v.20, no.5, pp.601 - 613 -
dc.identifier.kciid ART001610115 -
dc.description.journalClass 2 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor climate data qualification -
dc.subject.keywordAuthor outlier -
dc.subject.keywordAuthor quality check -
dc.subject.keywordAuthor water quality assessment -
dc.description.journalRegisteredClass kci -
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Marine Digital Resources Department > Marine Bigdata & A.I. Center > 1. Journal Articles
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