DOI QR코드

DOI QR Code

Analysis of Baseflow using Future Land Use and Climate Change Scenario

토지이용 및 기후 예측자료를 활용한 미래 기저유출 분석

  • Choi, Yujin (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Kim, Jonggun (Institute of Agricultural and Life Science, Kangwon National University) ;
  • Lee, Dong Jun (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Han, Jeongho (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Gwanjae (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Park, Minji (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Kisung (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructure Engineering, Kangwon National University)
  • Received : 2018.08.07
  • Accepted : 2018.10.19
  • Published : 2019.01.31

Abstract

Since the baseflow, which constitutes most of the river flow in the dry season, plays an important role in the solution of river runoff and drought, it is important to accurately evaluate the characteristics of the baseflow for river management. In this study, land use change was evaluated through time series data of land use, and then baseflow characteristics were analyzed by considering climate change and land use change using climate change scenarios. The results showed that the contribution of baseflow of scenarios considering both climate change and land use change was lower than that of scenarios considering only climate change for yearly and seasonal analysis. This implies that land use changes as well as climate changes affect base runoff. Thus, if we study the watershed in which the land use is occurring rapidly in the future, it is considered that the study should be carried out considering both land use change and climate change. The results of this study can be used as basic data for studying the baseflow characteristics in the Gapcheon watershed considering various land use changes and climate change in the future.

Keywords

NGHHCI_2019_v61n1_45_f0001.png 이미지

Fig. 1 Overview of this study

NGHHCI_2019_v61n1_45_f0002.png 이미지

Fig. 2 Study area (Gapcheon watershed)

NGHHCI_2019_v61n1_45_f0003.png 이미지

Fig. 4 Simulation of Land use changes in 2010, 2020, 2030 and 2040 using CLUE-S

NGHHCI_2019_v61n1_45_f0004.png 이미지

Fig. 3 Monthly averaged temperature and precipitation in Daejeon weather station

Table 1 Changes in Land use for this study area

NGHHCI_2019_v61n1_45_t0001.png 이미지

Table 2 Evaluation Index (W.Me et al., 2015)

NGHHCI_2019_v61n1_45_t0002.png 이미지

Table 3 SWAT-CUP Parameters

NGHHCI_2019_v61n1_45_t0003.png 이미지

Table 4 AUC (Area Under the ROC Curve) in ROC curve

NGHHCI_2019_v61n1_45_t0004.png 이미지

Table 5 Changes in 7 Land use Classes in 2010, 2020, 2030, and 2040 years

NGHHCI_2019_v61n1_45_t0005.png 이미지

Table 6 Analysis of Flow Duration Curve for Scenario 1 and 2

NGHHCI_2019_v61n1_45_t0006.png 이미지

Table 7 Comparison of annual precipitation and baseflow for scenario 1 and 2 (pcp=precipitation)

NGHHCI_2019_v61n1_45_t0007.png 이미지

Table 8 Comparison of seasonal precipitation and baseflow for scenario 1 and 2

NGHHCI_2019_v61n1_45_t0008.png 이미지

References

  1. Abbaspour, K. C., J. Yang, I. Maximov, R. Siber, K. Bogner, J. Mieleitner, J. Zobris, and R. Srinivasan, 2007. Modelling hydrology and water quality in the prealpine/alpine Thur watershed using SWAT. Journal of Hydrology 333: 431-430. doi:10.1016/j.jhydrol.2006.09.014.
  2. Ahn, J. H., Y. N. Yoon, and C. S. Yoo, 2001. On the change of hydrologic conditions due to global Warming : 2. an analysis of hydrolorgic changes in Daechung Dam basin using water balance model. Journal of Korea Water Resources Association 34(5): 511-519 (in Korean).
  3. Ahn, S. R., C. H. Jang, J. W. Lee, and S. J. Kim, 2015. Assessment of climate and land use change impacts on watershed hydrology for an urbanizing watershed. Journal of the Korean Society of Civil Engineers 35(3): 567-577 (in Korean). doi:10.12652/Ksce.2015.35.3.0567.
  4. Ahn, S. R., Y. J. Lee, G. A. Park, and S. J. Kim, 2008. Analysis of future land use and climate change impact on stream discharge. Journal of the Korean Society of Civil Engineers 28(2B): 215-224 (in Korean).
  5. Ahn, S. R., G. A. Park, C. H. Jang, and S. J. Kim, 2013. Assessment of climate change impact on evapotranspiration and soil moisture in a mixed forest catchment using spatially calibrated SWAT model. Journal of Korea Water Resources Association 46(6): 569-583 (in korean). doi:10.3741/JKWRA.2013.46.6.569.
  6. Arnold, J. G., 1992. Spatial scale variability in model development and parameterization. Ph.D. diss., West Lafayette, Ind.: Purdue University.
  7. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large area hydrologic modeling and assessment: part I: model development. Journal of American Water Resources Association 34(1): 73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  8. Cho, S. H., 2006. Computation of baseflow contribution to streamflow using environmental tracers in three small catchments Yuseong, Daejeon. Ph.D. diss, Choongnam National University, Daejeon (in korean).
  9. Cho, J. P., S. W. Hwang, G. D. Hwang, K. Y. Kim, and J. D. Kim, 2015. Assessing the climate change impacts on agricultural reservoirs using the SWAT model and CMIP5 GCMs. Journal of the Korean Society of Agricultural Engineers 57(5): 1-12 (in Korean). doi:10.5389/KSAE.2015.57.5.001.
  10. Choi, D. G., M. S. Keem, N. W. Kim, and S. D. Kim, 2009. An analysis of the effect of climate change on Byeongseong Stream's hydrologic and water quality responses using CGCM's future climate information. Journal of Korea Water Resources Association 42(11): 921-931 (in korean). doi:10.3741/JKWRA.2009.42.11.921.
  11. Choi, E. S., and I. J. Moon, 2008. The variation of extreme values in the precipitation and wind speed during 56 years in Korea. Atmosphere 18(4): 397-416 (in Korean).
  12. Choi, S. K., J. H. Jeong, J. P. Cho, S. O. Hur, D. H. Choi, and M. K. Kim, 2018. Assessing the climate change impacts on paddy rice evapotranspiration considering uncertainty. Journal of Climate Change Research 9(2): 143-156 (in Korean). doi:10.15531/ksccr.2018.9.2.143.
  13. Chung, U. R., J. P. Cho, and E. J. Lee, 2015. Evaluation of Agro-Climatic index using Multi-Model ensemble downscaled climate prediction of CMIP5. Korean Journal of Agricultural and Forest Meteorology 17(2): 108-125 (in Korean). doi:10.5532/KJAFM.2015.17.2.108.
  14. Eckhardt, K., 2005. How to construct recursive digital filters for baseflow separation. Hydrological Processes 19(2): 507-515. https://doi.org/10.1002/hyp.5675
  15. Fleiss, J. L., 1981. Statistical methods for rates and proportions, Wiley.
  16. Gregory, J. M., J. F. B. Mitchell, and A. J. Brady, 1997. Summer drought in northern midlatitudes in a time-dependent $CO_2$ climate experiment. Journal of Climate 10(4): 662-686. https://doi.org/10.1175/1520-0442(1997)010<0662:SDINMI>2.0.CO;2
  17. Gudmundsson, L., J. B. Bremnes, J. E. Haugen, and T. Engen Skaugen, 2012. Technical note: downscaling RCM precipitation to the station scale using quantile mapping-a comparison of methods. Hydrology and Earth System Sciences Discussions 9: 6185-6201. https://doi.org/10.5194/hessd-9-6185-2012
  18. Hagen, A., 2002. Multi-method assessment of map similarity. In Proceedings of the fifth AGILE conference on geographic information science, Palma, Spain, 171-182.
  19. Han, J. H., D. J. Lee, B. S. Kang, S. W. Chung, W. S. Jang, K. J. Lim, and J. G. Kim, 2017. Potential impacts of future extreme storm events on streamflow and sediment in Soyang-dam watershed. Journal of Korean Society on Water Environment 32(2): 160-169 (in korean). doi:10.15681/KSWE.2017.33.2.160.
  20. Han, J. H., K. J. Lim, and Y. H. Jung, 2017. Baseflow and streamflow simulation applying baseflow recession constants in individual sub-watersheds. Journal of the Korean Society of Agricultural Engineers 59(6): 101-108 (in Korean). doi:10.5389/KSAE.2017.59.6.101.
  21. Hong, J. Y., K. J. Lim, Y. C. Shin, and Y. H. Jung, 2015. Quantifying contribution of direct runoff and baseflow to rivers in Han River system, South Korea. Journal of Korea Water Resources Association 48(4): 309-319 (in Korean). doi:10.3741/JKWRA.2015.48.4.309.
  22. Jo, J. P., I. W. Jung, J. Y. Kim, J. P. Lee, S. K. Yoon, and E. J. Lee, 2013. Analysis of CMIP5 data in the water resources considering uncertainty. Korea Water Resources Association (KWRA).
  23. Joo, S. W., Y. S. Park, J. G. Kim, S. G. Heo, K. S. Kim, J. D. Choi, and K. J. Lim, 2007. Estimation of BFImax value for accurate Baseflow separation using WHAT system. Journal of Agricultural, Life and Envirionmental Sciences 18: 155-162 (in Korean).
  24. Jung, Y. H., K. J. Lim, and H. S. Kim, 2014. Estimation of baseflow considering recession characteristics of hydrograph. Journal of Wetlands Research 16(2): 161-171 (in Korean). https://doi.org/10.17663/JWR.2014.16.2.161
  25. Jung, H. D., 2011. Basic study on functional forestation business in Daejeon (in Korean).
  26. Kim, B. S., H. S. Kim, B. H. Seoh, and N. W. Kim, 2004. Impact of climate changes on Yongdam Dam basin. Journal of Korea Water Resources Association 37(3): 185-193 (in Korean). https://doi.org/10.3741/JKWRA.2004.37.3.185
  27. Koo, G. S., K. O. Boo, and W. T. Kwon, 2007. The estimation of urbanization effect in global warming over Korea using daily maximum and minimum temperatures. Atmosphere 17(2): 185-193 (in Korean).
  28. Kum, D. H., Y. S. Park, Y. H. Jung, M. H. Shin, J. C. Ryu, J. H. Park, J. E. Yang, and K. J. Lim, 2015. Analysis of Rainfall-Runoff characteristics on bias correction method of climate change scenarios. Journal of Korean Society on Water Environment 31(3): 241-252 (in Korean). doi:10.15681/KSWE.2015.31.3.241.
  29. Lee, J. M., Y. H. Jung, Y. S. Park, H. W. Kang, K. J. Lim, and H. S. Kim, 2014. Assessment of future climate change impact on groundwater recharge, baseflow and sediment in steep sloping watershed. Journal of Wetlands Researh 16(2): 173-185 (in Korean). https://doi.org/10.17663/JWR.2014.16.2.173
  30. Lee, J. M., Y. C. Shin, Y. S. Park, D. H. Kum, K. J. Lim, S. O. Lee, H. S. Kim, and Y. H. Jung, 2014. Estimation and assessment of baseflow at an ungauged watershed according to landuse change. Journal of Wetlands Researh 16(4): 303-318 (in Korean).
  31. Lee, J. W., H. J. Kwon, S. C. Shin, and S. J. Kim, 2003. Assessment of hydrological impact by long-term land cover change using WMS HEC-1 model in Gyeongan-cheon watershed. Journal of the Korean Association of Geographic Information Srudies 6(1): 107-118 (in Korean).
  32. Lim, K. J., B. A. Engel, Z. Tang, J. Choi, K. S. Kim, S. Muthukrishnan, and D. Tripathy, 2005. Automated web GIS based hydrograph analysis tool, WHAT. Journal of American Water Resources Association 41(6): 1407-1416. doi:10.1111/j.1752-1688.2005.tb03808.
  33. Lyne, V. D., and M. Hollick, 1979. Stochastic time-variable rainfall-runoff modeling. In Hydrology and Water Resources Symposium, National Committee on Hydrology and Water Resources of the Institute of Engineering: Perth, Western Australia, 89-93.
  34. Nam, K. H., G. B. Kim, and G. C. Jung, 2013. Baseflow comparison using the WHAT system and flow rate measurements in the dry and rainy seasons. The Journal of Engineering Geology 23(2): 117-125 (in Korean). doi:10.9720/kseg.2013.2.117.
  35. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams, 2005a. Soil and Water Assessment Tool Theoretical Documentation Version 2005. USDA, ARS, Temple, Texas.
  36. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams, 2005b. Soil and Water Assessment Tool User's Manual Version 2005, USDA, ARS, Temple, Texas.
  37. Park, J. Y., M. J. Park, H. K. Joh, H. J. Shin, H. J. Kwon, R. Srinivasn, and S. J. Kim, 2011. Assessment of MIROC3.2 HiRes climate and CLUE-s land use change impacts on watershed hydrology using SWAT. Transactions of the ASABE 54(5): 1713-1724. https://doi.org/10.13031/2013.39842
  38. Park, K. S., E. S. Chung, S. U. Kim, and S. K. Lee, 2009. Effectiveness analysis of alternatives for water resources management considering climate change and urbanization. Journal of Korea Water Resources Association 42(12): 1103-1111 (in Korean). doi:10.3741/JKWRA.2009.42.12.1103.
  39. Park, M. J., H. J. Kwon, and S. J. Kim, 2005. Analysis of impacts of land cover change on runoff using HSPF model. Journal of Korea Water Resources Association 38(6): 495-504 (in Korean). https://doi.org/10.3741/JKWRA.2005.38.6.495
  40. Ryu, J. C., H. W. Kang, J. W. Choi, D. S. Kong, D. H. Kum, C. H. Jang, and K. J. Lim, 2012. Application of SWAT-CUP for streamflow Auto-calibration at Soyang-gang dam watershed. Journal of Korean Society on Water Environment 28(3): 347-358 (in Korean).
  41. Ryu, J. C., K. H. Ahn, M. D. Han, H. S. Hwang, J. W. Choi, Y. S. Kim, and K. J. Lim, 2014. Evaluation and application of CLUE-S model for Spatio-Temporal analysis of future land use change in total water pollution load management system. Journal of Korean Society on Water Environment 30(4): 418-428 (in Korean). https://doi.org/10.15681/KSWE.2014.30.4.418
  42. Shin, M. H., J. A. Lee, S. U. Chen, Y. J. Lee, K. J. Lee, and J. D. Choi, 2010. Analysis of the characteristics of NPS runoff and application of L-THIA model at upper Daecheong reservoir. Journal of the Korean Society of Agricultural Engineers 52(1): 1-11 (in Korean). doi:10.5389/KSAE.2010.52.1.001.
  43. Verburg, P. H., W. Soepboer, A. Veldkamp, R. Limpiada, V. Espaldon, and S. S. Mastura, 2002. Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental management 30(3): 391-405. https://doi.org/10.1007/s00267-002-2630-x
  44. Me, W., J. M. Abell, and D. P. Hamilton, 2015. Effects of hydrologic conditions on SWAT model performance and parameter sensitivity for a small, mixed land use catchment in New Zealand. Hydrology and Earth System Sciences 19: 4127-4147. doi:10.5194/hess-19-4127-2015.
  45. Wetherald, R. T., and S. Manabe, 1995. The mechanisms of summer dryness induced by greenhouse warming. Journal of Climate 8(12): 3096-3108. https://doi.org/10.1175/1520-0442(1995)008<3096:TMOSDI>2.0.CO;2
  46. Wicklein, S. M., and D. M. Schiffer, 2002. Simulation of runoff and water quality for 1990 and 2008 land-use conditions in the Reedy Creek watershed. East-Central Florida U.S. Geological Survey Water-Resources Investigations Report 02-4018, Tallahassee, Florida.