Journal of the Geological Society of Korea (지질학회지)

The Geological Society of Korea (대한지질학회)
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Estimation of deep percolation using field moisture observations and HYDRUS-1D modeling in Haean basin

해안분지의 현장 토양수분 관측과 HYDRUS-1D 모델링을 이용한 지하수 함양 추정

  • Received : 2018.08.31
  • Accepted : 2018.10.05
  • Published : 2018.10.31
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Abstract

This study was conducted to estimate the deep percolation using numerical modeling and field observation data based on rainfall in Haean basin. Soil moisture sensors were installed to monitoring at 30, 60 and 90 cm depths in four sites (YHS1-4) and automatic weather station was installed to around YHS3. Soil moisture and meteorological data was observed from March 25, 2017 to March 25, 2018 and May 06, 2016 to May 06, 2018, respectively. Numerical analysis was performed from June to August, 2017 using the HYDRUS-1D. Average soil moisture contents were high to generally in YHS3 for 0.300 to $0.334m^3/m^3$ and lowest in YHS1 for 0.129 to $0.265m^3/m^3$ during the soil moisture monitoring period. The results of soil moisture flow modeling showed that field observations and modeling values were similar but the peak values were larger in the modeling result. Correlation analysis between observation and modeling data showed that r, $r^2$ and RMSE were 0.88, 0.77, and 0.0096, respectively. This show high correlation and low error rate. The total deep percolation was 744.2 mm during the period of modelling at 500 cm depth. This showed that 61.3% of the precipitation amount (1,214 mm) was recharged in 2017. Deep percolation amount was high in the study area. This study is expected to provide basic data for the estimation of groundwater recharge through unsaturated zone.

본 연구에서는 강원도 양구군 해안면에서 토양수분 관측과 수치 모델링을 이용하여 강우에 따른 잠재 지하수 함양량을 정량적으로 추정하였다. 토양수분 모니터링을 위해 깊이별(30, 60, 90 cm)로 토양수분 센서를 4지점(YHS1-4)에 설치하였으며 YHS3 주변에 자동기상관측 장비도 설치하였다. 토양수분 모니터링 기간은 2017년 3월 25일부터 2018년 3월 25일까지이며 기상관측 기간은 2016년 5월 6일부터 2018년 5월 6일까지이다. HYDRUS 1D 프로그램을 이용하여 우기인 2017년 6월부터 8월까지 수치해석을 수행하였다. 토양수분 모니터링 기간 동안 평균 토양수분함량은 YHS3에서 $0.300-0.334m^3/m^3$로 전반적으로 높았으며 YHS1에서 $0.129-0.265m^3/m^3$의 가장 낮은 수분 함량 범위들을 보였다. 토양수분 이동 모델링 결과 현장 관측 값과 모델링 값은 유사하였으나 피크 값들이 모델링 결과가 큰 것으로 나타났다. 관측 및 모델링 자료의 상관분석 결과 r, $r^2$, RMSE는 각각 0.88, 0.77, 0.0096으로 높은 상관성 및 낮은 오차율을 나타냈다. 모델링 설정기간 동안 500 cm 깊이에서의 총 잠재 지하수 함양량은 744.2 mm로 나타났다. 이는 2017년 강수량(1,214 mm)의 61.3%가 함양된 것으로 나타났다. 연구지역의 잠재 지하수 함양량은 높은 것으로 나타났으며 불포화대를 통한 지하수 함양 추정연구에 유의미한 결과 값을 제공할 수 있을 것으로 여겨진다.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998, Crop evapotranspiration: Guidelines for computing crop water requirements-FAO Irrigation and Drainage Paper 56. FAO, Rome, 300(9), D05109.
  2. Assefa, K.A. and Woodbury, A.D., 2013, Transient, spatially varied groundwater recharge modelling. Water Resource Research, 49(8), 4593-4606. https://doi.org/10.1002/wrcr.20332
  3. Baek, H.J., Ahn, K.D., Joo, S.W. and Kim, Y.J., 2017, Long-term changes in wintertime precipitaion and snowfall over Gangwon province. Journal of Climate Change Research, 8(2), 109-123 (in Korean with English abstract) https://doi.org/10.15531/ksccr.2017.8.2.109
  4. Bah, A.R., Kravchuk, O. and Kirchhof, G., 2009, Sensitivity of drainage to rainfall, vegetation and soil characteristics. Computers and Electronics in Agriculture, 68(1), 1-8. https://doi.org/10.1016/j.compag.2009.03.005
  5. Batalha, M.S., Barbosa, M.C., Faybishenko, B. and van Genuchten, M.Th., 2018, Effect of temporal averaging of meteorological data on predictions of groundwater recharge. Journal of Hydrology and Hydromechanics, 66(2), 143-152. https://doi.org/10.1515/johh-2017-0051
  6. Chen, M., Willgoose G.R. and Saco, P.M., 2014, Spatial prediction of temporal soil moisture dynamics using HYDRUS-1D. Hydrological Processes, 28(2), 171-185. https://doi.org/10.1002/hyp.9518
  7. Feng, H.H. and Liu, Y.B., 2015, Combined effects of precipitation and air temperature on soil moisture in different land covers in a humid basin. Journal of Hydrology, 531(3), 1129-1140. https://doi.org/10.1016/j.jhydrol.2015.11.016
  8. Ha, K.C., Kim, Y.C. and Kim, S.Y., 2016, Monitoring of soil water content and infiltration rate by rainfall in a water curtain cultivation area. Journal of the Geological Society of Korea, 52(3), 221-236 (in Korean with English abstract). https://doi.org/10.14770/jgsk.2016.52.3.221
  9. Hong, E.M., Choi, J.Y., Yoo, S.H. and Nam, W.H., 2012, Analysis of soil moisture characteristics in nut pine forest about seasons and soil layers. Journal of the Korean Society of Agricultural Engineers, 54(4), 105-114 (in Korean with English abstract). https://doi.org/10.5389/KSAE.2012.54.4.105
  10. RDA, 2018, http://soil.rda.go.kr/soil/soilmap/characteristic.jsp (October 4, 2018).
  11. Kim, S.W., Shin, Y.C., Lee, T.H., Lee, S.H., Choi, K.S., Park, Y.S., Lim, K.J. and Kim, J.G., 2017, Characteristics of soil moisture distributions at the spatio-temporal scales based on the land surface features using MODIS images. Journal of the Korean Society of Agricultural Engineers, 59(6), 29-37 (in Korean with English abstract).
  12. Koo, M.H. and Kim, Y.J., 2003, Use of an infiltration model for analyzing temporal variation of precipitation recharge in the climatological environment of Korea. Journal of the Geological Society of Korea, 39(2), 249-261 (in Korean with English abstract).
  13. Lai, X.M, Liao, K.H., Feng, H.H. and Zhu, Q., 2016, Respones of soil water percolation to dynamic interactions among rainfall, antecedent moisture and season in a forest site. Journal of Hydrology, 540, 565-573. https://doi.org/10.1016/j.jhydrol.2016.06.038
  14. Lee, J., Eom, J.S., Kim, B., Jang, W.S., Ryu, J.C., Kang, H., Kim, K.S. and Lim, K.J., 2011, Water quality prediction at Mandae watershed using SWAT and water quality improvement with vegetated filter strip. Journal of the Korean Society of Agricultural Engineers, 45(1), 37-45 (in Korean with English abstract).
  15. Lee, J.Y., 2009, Importance of hydrogeological and hydrologic studies for Haean basin in Yanggu. Journal of the Geological Society of Korea, 45(4), 405-414 (in Korean with English abstract).
  16. Lee, K.M., Baek, H.J., Cho, C.H. and Kwon, W.T., 2011, The recent (2001-2010) changes on temperature and precipitation related to normals (1971-2000) in Korea. The Geographical Journal of Korea, 45(2), 237-248 (in Korean with English abstract).
  17. Leterme, B., Mallants, D. and Jacques, D., 2012, Sensitivity of groundwater recharge using climatic analogues and HYDRUS-1D. Hydrology and Earth System Sciences, 16(8), 2485-2497. https://doi.org/10.5194/hess-16-2485-2012
  18. Lozano-Parra, J., Schnabel, S. and Ceballos-Barbancho, A., 2015, The role of vegetation covers on soil wetting processes at rainfall event scale in scattered tree woodland of mediterranean climate. Journal of Hydrology, 529(3), 951-961. https://doi.org/10.1016/j.jhydrol.2015.09.018
  19. Oh, K.J., Lee, H.S., Kim, D.H., Kim, S.H. and Kim, N.W., 2006, Soil moisture monitoring at a hillslope sacle considering spatial-temporal characteristics. Journal of Korea Water Resources Association, 39(7), 605-615 (in Korean with English abstract). https://doi.org/10.3741/JKWRA.2006.39.7.605
  20. Penna, D., Borga, M., Norbiato, D. and Dalla Fontana, G., 2008, Hillslope scale soil moisture variability in a steep alpine terrain. Journal of Hydrology, 364, 311-327.
  21. Simunek, J., Sejna, M. and van Genuchten, M.T., 2008, The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat and multiple solutes in variably-saturated media. version 4.0, University of California, California, USA, 315.
  22. Shin, Y.C., Choi, K.S., Jung, Y.H., Yang, J.E. and Lim, K.J., 2016, Soil moisture estimation and drought assessment at the spatio-temporal scales using remotely sensed data: (I) Soil moisture. Journal of Korean Society on Water Environment, 32(1), 60-69 (in Korean with English abstract). https://doi.org/10.15681/KSWE.2016.32.1.60
  23. van Genuchten, M.T., 1980, A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil science society of America Journal, 44, 892-898. https://doi.org/10.2136/sssaj1980.03615995004400050002x
  24. Wang, S.A., Fu, B.J., Gao, G.Y., Liu, Y. and Zhou, J., 2013, Responses of soil moisture in different land cover types to rainfall events in a re-vegetation catchment area of the Loess Plateau, China. Catena, 101, 122-128. https://doi.org/10.1016/j.catena.2012.10.006
  25. Won, J.K., Lee, M.W., Woo, J.K., 1987, Geologic and geographic characteristics of Haean basin. Memorial Book of 40th Anniversary of Kangwon Nation University. Kangwon National University Publishing, Chuncheon, 45-57 (in Korean).
  26. Wu, Q.H., Wang, G.L., Zhang, W., Cui, H.D. and Zhang, W., 2016, Estimation of groundwater recharge using tracers and numerical modeling in the north china plain. Water, 8(8), 353. https://doi.org/10.3390/w8080353
  27. Yoo, D.S., Kim, K.S., Jang, W.S., Jun, M.S., Yang, J.E., Kim, S.C., Ahn, J.H. and Lim, J.K., 2008, Evaluation of sediment yield using area-weighted measured slope and slope length at HeaAn myeon watershed. Journal of Korean Society on Water Quality, 24(5), 569-580 (in Korean with English abstract).

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