[논문]필터링 기법을 이용한 농업용저수지 수위자료의 품질관리 방안

김경환; 최규훈; 정형모; 주동혁; 나라; 최은혁; 권재환; 유승환

doi:10.5389/ksae.2021.63.5.083

필터링 기법을 이용한 농업용저수지 수위자료의 품질관리 방안
Quality Control on Water-level Data in Agricultural Reservoirs Considering Filtering Methods 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.5, 2021년, pp.83 - 93

김경환 (Jeonnam Regional Headquarter, Korea Rural Community Corporation (KRC)) , 최규훈 (WeDB company) , 정형모 (Agricultural Infrastructure Project Office, Korea Rural Community Corporation (KRC)) , 주동혁 (Department of Rural and Bio-Systems Engineering & BK21 Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University) , 나라 (Department of Rural and Bio-Systems Engineering & BK21 Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University) , 최은혁 (Rural Research Institute, Korea Rural Community Corporation (KRC)) , 권재환 (Agricultural Infrastructure Project Office, Korea Rural Community Corporation (KRC)) , 유승환 (Department of Rural and Bio-Systems Engineering & BK21 Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University)

Abstract ▼ AI-Helper

Agricultural reservoirs are important facilities for storing or managing water for the purpose of securing agricultural water, creating and expanding agricultural production bases, and using them to increase agricultural production. In particular, the Korea Rural Community Corporation (KRC) manages agricultural reservoirs scattered across the country, and officially recognizes and distributes hydrological data to increase their public utilization and aims to improve the value of water resources. Data on the water level of agricultural reservoirs are important. However, errors such as missing values and outliners limit utilization of the data in various fields of research and industry. Therefore, water quality data measures should be devised to increase reliability. this study categorized different error types and looked at automatic correction methods to enhance the reliability of the vast hydrological data. In addition, the water level data corrected from errors were compared to the reference hydrologic data through expert judgment in accordance with the quality control procedure, and the most appropriate measures were verified. As KRC manages more agricultural reservoirs than any other institution, the proposed method of efficient and automatic water level data correction in this study is expected to increase the availability and reliability of the hydrological data.

주제어

표/그림 (11)

그림 Fig. 1 Flow chart of this study
표 Table 1 Target reservoirs in this study
그림 Fig. 2 Quality control application and scatter results (Geumbong agricultural reservoir)
그림 Fig. 3 Quality control application and scatter results (Gabug agricultural reservoir)
그림 Fig. 4 Quality control application and scatter results (Geumgwang agricultural reservoir)
그림 Fig. 5 Quality control application and scatter results (Obong agricultural reservoir)
그림 Fig. 6 Quality control application and scatter results (Miho agricultural reservoir)
그림 Fig. 7 Quality control application and scatter results (Cheongcheon agricultural reservoir)
그림 Fig. 8 Quality control application and scatter results (Donghwa agricultural reservoir)
그림 Fig. 9 Quality control application and scatter results (Tabjeong agricultural reservoir)
표 Table 2 Target reservoir reliability analysis results

참고문헌 (20)

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원문보기 상세보기
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