DOI QR코드

DOI QR Code

Impacts of Initial Soil Moisture on Hydrologic Outflow in a Distributed FLO-2D Model

분포형 FLO-2D 수문모형에서 초기토양함수가 유출결과에 미치는 영향

  • Lee, Khil-Ha (Department of Civil Engineering, Daegu University)
  • 이길하 (대구대학교 토목공학과)
  • Received : 2021.03.12
  • Accepted : 2021.04.24
  • Published : 2021.08.31

Abstract

Soil water enters the atmosphere via evapotranspiration, where it transforms into atmospheric water vapor and plays important role in the surface-atmosphere energy exchange. Soil conditions have a direct influence on the effective rainfall, and initial soil moisture conditions are important for quantitatively evaluating the effective rainfall in a watershed. To examine the sensitivity of the initial saturation to hydrologic outflow, a two-dimensional distributed FLO-2D hydrologic model was applied to a small watershed. The initial saturation was set to 0.3, 0.5, and 0.7 and the obtained results were compared. The Green-ampt model was chosen to calculate the penetration loss. Depending on the initial soil moisture, the peak flow rate varied by up to 60%, and the total water volume in the watershed by approximately 40%.

Keywords

Acknowledgement

이 연구는 2020학년도 대구대학교 학술연구비지원으로 수행되었음.

References

  1. Chen, F., Dudhia, J., 2001, Coupling an advanced land-surface hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Wea. Rev., 129, 569-585. https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2
  2. Dy, C. Y., Fung, J. C. H., 2016, Updated global soil map for the weather research and forecasting model and soil moisture initialization for the Noah land surface model, J. Geophys. Res. Atmos., 121, 8777-8800. https://doi.org/10.1002/2015JD024558
  3. Engman, E. T., 1986, Roughness coefficient for routing surface runoff, J. Irrig. Drain. Eng., 112, 39-53. https://doi.org/10.1061/(ASCE)0733-9437(1986)112:1(39)
  4. FLO-2D Software Inc., 2017, FLO-2D reference manual, 16, FLO-2D Software Inc., 1-5.
  5. Holt, T. R., Niyogi, D., Chen, F., Manning, K., LeMone, M. A., Qureshi, A., 2006, Effect of land atmosphere interactions on the IHOP 24 25 May 2002 convection case, Weather. Rev., 134, 113-133. https://doi.org/10.1175/MWR3057.1
  6. Hong, S. B., Lakshmi, V., Small, E. E., Chen, F., Tewari, M., Manning, K. W., 2009, Effects of vegetation and soil moisture on the simulated land surface processes from the coupled WRF/Noah model, J. Geophys. Res., 114, D18118. https://doi.org/10.1029/2008jd011249
  7. Hopmans, J. W., Simunek, J., 1999, Review of inverse estimation of soil hydraulic properties, in: van Genuchten, M. Th., Leij, F. J., Wu, L.(eds.), Characterization and measurement of the hydraulic properties of unsaturated porous media: Part 1, University of California, Riverside, California, 643-659.
  8. Husain, S. Z., Belair, S., Leroyer, S., 2014, Influence of soil moisture on urban microclimate and surface-layer meteorology in Oklahoma City, J. Appl. Meteorol. Climatol., 53, 83-98. https://doi.org/10.1175/JAMC-D-13-0156.1
  9. Hwang, J., Lee, H., Lee, K., 2020, Effects of Nonhomogeneous Soil Characteristics on the Hydrologic Response: A Case Study, Water, 12, 2416. https://doi.org/10.3390/w12092416
  10. LeMone, M. A., Chen, F., Alfieri, J. G., Tewari, M., Geerts, B., Miao, Q., Grossman, R. L., Coulter, R. L., 2007, Influence of land cover and soil moisture on the horizontal distribution of sensible and latent heat fluxes in southeast Kansas during IHOP_2002 and CASES-97, J. Hydrometeorol., 8, 68-87. https://doi.org/10.1175/JHM554.1
  11. MOLIT (Ministry of Land, Infrastructure and Transport), 2009, Field survey report 2008: Hangang discharge, Seoul, S. Korea.
  12. Santanello, J. A., Peters-Lidard, C. D., Kumar, S. V., 2011, Diagnosing the sensitivity of local land atmosphere coupling via the soil moisture-boundary layer interaction, J. Hydrometeorol., 12, 766-786. https://doi.org/10.1175/JHM-D-10-05014.1
  13. Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E., Lehner, I., Orlowsky, B., Teuling, A. J., 2020, Investigating soil moisture-climate interactions in a changing climate: A review, Earth-Sci. Rev., 99, 125-161.
  14. Sun, W. Y., Bosilovich, M. G., 1996, Planetary boundary layer and surface layer sensitivity to land surface parameters, Bound.-Layer Meteorol., 77, 353-378. https://doi.org/10.1007/BF00123532
  15. Trier, S. B., LeMone, M. A., Chen, F., Manning, K. W., 2011, Effects of surface heat and moisture exchange on ARW-WRF warm-season precipitation forecasts over the central United States, Wea. Forecasting, 26, 3-25. https://doi.org/10.1175/2010WAF2222426.1
  16. Vieux, B. E., Cui, Z. T., Caur, A., 2004, Evaluation of a physio-based distributed hydrologic model for flood forecasting, Journal of Hydrology, 298, 155-177. https://doi.org/10.1016/j.jhydrol.2004.03.035
  17. Yang, Y., Uddstrom, M., Revell, M., Andrews, P., Oliver, H., Turner, R., Carey-Smith, T., 2011, Numerical simulations of effects of soil moisture and modification by mountains over New Zealand in summer, Mon. Weather Rev., 139, 494-510. https://doi.org/10.1175/2010mwr3324.1
  18. Zhang, H., Liu, J., Li, H., Meng, X., Ablikim, A., 2020, The Impacts of Soil Moistur Initialization on the Forecasts of Weather Research and Forecasting Model: A Case Study in Xinjiang, China, Water, 12, 1892. https://doi.org/10.3390/w12071892
  19. Zhou, X., Geerts, B., 2013, The influence of soil moisture on the planetary boundary layer and on cumulus convection over an isolated mountain. Part I: Observations, Mon. Weather Rev., 141, 1061-1078. https://doi.org/10.1175/mwr-d-12-00150.1