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Development of a distributed hydrological model considering hydrological change

  • Kim, Deasik (Department of Agricultural & Rural Engineering, Chungnam National University) ;
  • An, Hyunuk (Department of Agricultural & Rural Engineering, Chungnam National University) ;
  • Jang, Minwon (Department of Agricultural & Rural Engineering, Gyeogsang National University) ;
  • Kim, Seongjoon (Department of Civil and Environmental System Engineering, Konkuk University)
  • Received : 2017.12.01
  • Accepted : 2018.05.23
  • Published : 2018.09.30

Abstract

In recent decades, the dry stream phenomena of small and medium sized rivers have been attracting much attention as an important social problem. To prevent dry stream phenomena, it is necessary to build an infrastructure that manages rivers. To accurately determine the progress of dry stream phenomena, it is necessary to continuously measure the discharge and other hydrological factors for small and medium sized rivers. However, until now, the flow data for small and medium rivers in Korea has been insufficient. To overcome the lack of supporting data for supporting rational decision-making in policy and project implementation, a short- and long-term hydrological model was developed that takes into consideration hydrological changes such as the increase of the impervious area due to urban development and groundwater pumping, the construction of a large-scale sewage treatment plant, the maintenance of stream-oriented rivers, etc. In the developed model, the distributed grid is represented by three layers: Surface flow, interflow, and groundwater flow. The surface flow and intermediate flow flowed along the flow direction, and the groundwater flow was calculated by a two-dimensional groundwater analysis model such that the outflow occurred in all directions without a specific flow direction. The effects of land use and cover on evapotranspiration and infiltration and the effects of multiple landscapes can be simulated in the developed model.

Keywords

References

  1. Akan AO. 1993. Urban stormwater hydrology: A guide to engineering calculations. Technomic Publishing Co., Inc., Lancaster, PA, USA.
  2. Carsel RF, Parrish RS. 1988. Developing joint probability distributions of soil water retention characteristics. Water Resources Research 24:755-769. https://doi.org/10.1029/WR024i005p00755
  3. Huggins LF, Monke EJ. 1968. A mathematical model for simulating the hydrotogic response of a watershed. Water Resources Research 4:529-539. https://doi.org/10.1029/WR004i003p00529
  4. Jun S, Park J, Park C. 2012. Application of technique for evaluating streamflow depletion in the urbanized small and midium watershed: Gyeongancheon, Wangsukcheon. Journal of Safety and Crisis Management 8:67-81.
  5. Jung K, Cho H, Kim J, Shim M. 2003. Analysis of drying streams characteristics using a GIS. Journal of Korea Water Resources Association 36:1083-1095. [in Korean] https://doi.org/10.3741/JKWRA.2003.36.6.1083
  6. Jung C, Kim S. 2018. Dry stream phenomenon monitoring research using UAV stream monitoring and distributed hydrological model. Rural resource 59:60-69. [in Korean]
  7. Lee J, Kim N, Chung I. 2013. Assessment of streamflow depletion due to groundwater pumping from a well. Journal of Korea Water Resources Association 46:1079-1088. [in Korean] https://doi.org/10.3741/JKWRA.2013.46.11.1079
  8. Lee K, Chung E, Shin M. 2006. Effects of changes of climate, groundwater withdrawal, and landuse on total flow during dry period. Journal of Korea Water Resources Association 39:923-934. [in Korean] https://doi.org/10.3741/JKWRA.2006.39.11.923
  9. Lee H, Koo M, Lim J, Yoo B, Kim Y. 2016. Impacts of seasonal pumping on stream depletion. Journal of Soil and Groundwater Environment 20:61-71. [in Korean]
  10. McCuen RH. 1998. Hydrologic analysis and design 2nd edn. Prentice Hall, New Jersey, USA.
  11. Ministry of Science and Technology. 2003. Technology of sustainable surface water Development. [in Korean]
  12. Kim D. 1995. Development of GIS application model for spatial simulation of surface drainage from a small watershed. MS Thesis, Seoul National Univ., Seoul, Korea. [in Korean]
  13. Kim D, Chung H. 1995. GIS application model for spatial simulation of surface runoff from a small watershed(I) -development and application of the cell water balance model -. Korean Society of Agricultural Engineers 37:23-33. [in Korean]
  14. Kim G, Son Y, Lee S, Jeong A, Cha E, Ko M. 2012a. Understanding of surface water-groundwater connectivity in an alluvial plain using statistical methods. The Journal of Engineering Geology 22:207-221. https://doi.org/10.9720/kseg.2012.22.2.207
  15. Kim N, Lee J, Chung I, Kim C. 2012b. Change of groundwater-streamflow interaction according to groundwater abstraction in a greenhouse land. Journal of Korea Water Resources Association 5:1051-1067. [in Korean]
  16. Kim S, Kim G, Jung C. 2017. Cause tracking and impact assessment technology of dry stream phenomenon. Rural resource 50:8-14. [in Korean]
  17. Kim T, Kim Y, Ha G, Kim K, Koh D, Yang I, Hong S. 2004, Study on the induced interaction between groundwater and surface water due to the tunnel construction. The Journal of Engineering Geology 14:81-91. [in Korean]
  18. Park J, Cho Y. 2018, Establishing indicators and stream depletion potential index (SDPI) for stream health. Journal of the Korean Society of Hazard Mitigation 15:285-292. [in Korean]

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  1. Comparison of reference evapotranspiration estimation methods with limited data in South Korea vol.46, pp.1, 2018, https://doi.org/10.7744/kjoas.20190004