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http://dx.doi.org/10.7857/JSGE.2021.26.4.027

Proposal of Agricultural Drought Re-evaluation Method using Long-term Groundwater Level Monitoring Data  

Jeong, ChanDuck (Korea Rural Community Corportion, Rural Research Institute, Future Rural & Fishing Village Research Lab)
Lee, ByungSun (Korea Rural Community Corportion, Rural Research Institute, Future Rural & Fishing Village Research Lab)
Lee, GyuSang (Korea Rural Community Corportion, Rural Research Institute, Future Rural & Fishing Village Research Lab)
Kim, JunKyum (Korea Rural Community Corportion, Rural Research Institute, Future Rural & Fishing Village Research Lab)
Publication Information
Journal of Soil and Groundwater Environment / v.26, no.4, 2021 , pp. 27-43 More about this Journal
Abstract
Since climate factors, such as precipitation, temperature, etc., show repeated patterns every year, it can be said that future changes can be predicted by analyzing past climate data. As with groundwater, seasonal variations predominate. Therefore, when a drought occurs, the groundwater level is also lowered. Thus, a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use Standard Groundwater Level Index (SGI) to which the Standard Precipitation Index (SPI) method is applied to evaluate the severity of droughts and predict drought trends. However, due to the strong interferences caused by the recent increase in groundwater use, it is difficult to represent the droughts of regions or entire watersheds by only using groundwater level change data using the SPI or SGI methods, which analyze data from one representative observation station. Therefore, if the long-term groundwater level changes of all the provinces of a watershed are analyzed, the overall trend can be shown even if there is use interference. Thus, future groundwater level changes and droughts can be more accurately predicted. Therefore, in this study, it was confirmed that the groundwater level changes in the last 5 years compared with the monthly average groundwater level changes of the monitoring wells installed before 2015 appeared similar to the drought occurrence pattern. As a result of analyzing the correlation with the water storage yields of 3,423 agricultural reservoirs that do not immediately open their sluice gates in the cases of droughts or floods, it was confirmed that the correlation was higher than 56% in the natural state. Therefore, it was concluded that it is possible to re-evaluate agricultural droughts through long-term groundwater level change analyses.
Keywords
Groundwater; Groundwater level; SPI; SGI; Drought; Agricultural drought;
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1 Lee, H.G., Jeon, W.H., Yun, S.W., Kwon, K.D., and Lee, J.Y., 2017, Comparative study of variation of groundwater and dam storage from 1996-2015 in Korea, Journal of the Geological Society of Korea, 53(5), 715-726.   DOI
2 Yeh, H.F. and Chang, C.F., 2019, Using standardized groundwater index and standardized precipitation index to assess drought characteristics of the Kaoping River Basin, Taiwan, Water Resources, 46(5), 670-678.   DOI
3 Blookfield, J.P. and Marchant, B.P., 2013, Analysis of groundwater drought building on the standardized precipitation index approach, Hydrol. Earth Syst. Sci., 17(12), 4769-4787.   DOI
4 Edwards, D.C. and McKee, T.B., 1997, Characteristics of 20th century drought in the United States at multiple time scales. Climatology Report No. 97-2, Colorado State Univ., Ft. Collins, CO.
5 Jeong, C.D., Lee, G.S., Lee, B.S., and Seo, S.J., 2021, The need to expand monitoring of the groundwater level in agricultural land around rivers following the opening of weirs, 2021 Joint Conference of the Geological Science & Technology of Korea, Academic presentations.
6 Jeong, J.N., Koh, D.C., and Lee, J.H., 2019, A study of an effect of a land cover change on a groundwater level, The Geological Society of Korea, 474p.
7 Hoque, M., Hoque, M., and Ahmed, K., 2007, Declining groundwater level and aquifer dewatering in Dhaka metropolitan area, Bangladesh: causes and quantification, Hydrogeology Journal, 15, 1523-1534.   DOI
8 Kim, G.B., Yun, H.H., and Kim, D.H., 2006, Relationship between standardized precipitation index and groundwater levels: A proposal for establishment of drought index wells, J. Soil and Groundwater Environment, 11(3), 31-42.
9 Kumar, R, Musuuza, J.L., Van Loon, A.F., Teuling, A.J., Bar hel, R., Ten Broek, J., Mai, J., Samaniego, L., and Attinger, S., 2016, Multiscale evaluation of the standardized precipitation index as a groundwater drought indicator, Hydrol. Earth Syst. Sci., 20, 1117-1131.   DOI
10 Lee J.J., Kang S.U., Kim T.H., and Chun G.I., 2018, Assessment of drought effects on groundwater system in rural area using Standardized Groundwater Level Index (SGI), Journal of Korea Water Resources Association, pp.1021-1029.
11 Lee J.J., Kang, S.U., Jeong, J.H., and Chun, G.I., 2018, Development of groundwater level monitoring and forecasting technique for drought analysis(I); Groundwater drought monitoring using standardized groundwater level index (SGI), J. Korea Water Resour. Assoc., 51(11), 1011-1020.   DOI
12 Lee, J.J., Kang, S.U., Kim, T.H., and Chun, G.I., 2018, Development of groundwater level monitoring and forecasting technique for drought analysis (II) - Groundwater drought forecasting Using SPI, SGI and ANN, Journal of Korea Water Resources Association, 51(11), 1021-1029.   DOI
13 Song, S.H., Ahn, J.G., Lee, B.S., and Goo, M.H., 2017, Development of agricultural drought evaluation technology based on ICT-based real-time analysis of groundwater level, Korea Rural Research Institute.
14 McKee, T.B., Doesken, N.J., and Kleist, J., 1993, The relationship of drought frequency and duration of time scales, Eighth Conference on Applied Climatology, American Meteorological Society, Jan. 17-23, Anaheim CA, pp.179-186.
15 Shin, H.J., Kim, H.D., Lee, J.N., Kim, D.E., and Kang, M.S., 2019, Sensitivity of precipitation and storage capacity caused by climate changes in agricultural reservoir, Korea Water Resources Association, Academic presentation materials.
16 Song, S.H., 2018, Assessment of drought effects on groundwater system in rural area using Standardized Groundwater level Index (SGI), J. Soil Groundwater Environ., 23(3), 1-9.   DOI
17 Song, S.H., Lee, G.S., Jeong, C.D., and Myoung, W.H., 2019, Estimation of potential water supply for agricultural water demand based on time-series groundwater level data in Jeju Island, Korea Rural Research Institute, pp.64-67.
18 Yeh, H.-F., Chang, C.-F., Lee, J.W., and Lee, C.H., 2016, SGI and SPI for drought characteristics in Gaoping river basin, Taiwan, Journal of Chinese Soil and Water Conservation, 47(1), 45-52.