[논문]물수지 기반 지역별 토양수분을 활용한 밭가뭄 평가

전민기; 남원호; 양미혜; 문영식; 홍은미; 옥정훈; 황선아; 허승오

doi:10.5389/ksae.2021.63.5.001

물수지 기반 지역별 토양수분을 활용한 밭가뭄 평가
Assessment of Upland Drought Using Soil Moisture Based on the Water Balance Analysis 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.5, 2021년, pp.1 - 11

전민기 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 남원호 (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) , 양미혜 (Department of Convergence of Information and Communication Engineering, Hankyong National University) , 문영식 (National Agricultural Water Research Center, Hankyong National University) , 홍은미 (School of Natural Resources and Environmental Science, Kangwon National University) , 옥정훈 (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration) , 황선아 (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration) , 허승오 (Divison of Soil and Fertilizer, National Institute of Agricultural Sciences, Rural Development Administration)

Abstract ▼ AI-Helper

Soil moisture plays a critical role in hydrological processes, land-atmosphere interactions and climate variability. It can limit vegetation growth as well as infiltration of rainfall and therefore very important for agriculture sector and food protection. Recently, due to the increased damage from drought caused by climate change, there is a frequent occurrence of shortage of agricultural water, making it difficult to supply and manage stable agricultural water. Efficient water management is necessary to reduce drought damage, and soil moisture management is important in case of upland crops. In this study, soil moisture was calculated based on the water balance model, and the suitability of soil moisture data was verified through the application. The regional soil moisture was calculated based on the meteorological data collected by the meteorological station, and applied the Runs theory. We analyzed the spatiotemporal variability of soil moisture and drought impacts, and analyzed the correlation between actual drought impacts and drought damage through correlation analysis of Standardized Precipitation Index (SPI). The soil moisture steadily decreased and increased until the rainy season, while the drought size steadily increased and decreased until the rainy season. The regional magnitude of the drought was large in Gyeonggi-do and Gyeongsang-do, and in winter, severe drought occurred in areas of Gangwon-do. As a result of comparative analysis with actual drought events, it was confirmed that there is a high correlation with SPI by each time scale drought events with a correlation coefficient.

주제어

표/그림 (12)

표 Table 1 Crop coefficient by corn growth stages
그림 Fig. 1 Location of 56 meteorological stations (Automated Synoptic Observing System)
그림 Fig. 2 Definition of drought severity, duration, and intensity using Runs theory
표 Table 2 Classification of drought description based on soil moisture distribution percentile
표 Table 3 Classification of drought description based on SPI value
그림 Fig. 3 Verification of soil moisture content between soil moisture modeling and observed data
그림 Fig. 5 Result of monthly soil moisture distribution in 2017
그림 Fig. 4 Coefficient of determination between observed and simulated soil moisture
그림 Fig. 6 Box plot graph of soil moisture at 56 meteorological stations
그림 Fig. 7 Distribution of drought magnitude using soil moisture and Runs theory
그림 Fig. 8 Comparison of drought magnitude using soil moisture and each time scale SPI
그림 Fig. 9 Correlation analysis between upland drought magnitude and each SPI time scale

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