The Journal of
the Korean Society on Water Environment

The Journal of
the Korean Society on Water Environment

Bimonthly
  • ISSN : 2289-0971 (Print)
  • ISSN : 2289-098X (Online)
  • KCI Accredited Journal

Editorial Office

  1. Home
  2. All Issues
  3. 2019-03 (Vol. 35, No. 2)
  4. 10.15681/KSWE.2019.35.2.131
XML PDF INFO REF
1 
Ahn J.M., Im T.H., Lee I.J., Cheon S.U., 2014, Assessment of future river environment considering climate change and basin runoff characteristics, (Korean Literature), Journal of Korea Water Resources Association, Vol. 47, No. 3, pp. 269-283Google Search
2 
Ahn S.R., Park M.J., Park G.A., Kim S.J., 2009, Assessing future climate change impact on hydrologic components of Gyeongancheon watershed, (Korean Literature), Journal of Korea Water Resources Association, Vol. 42, No. 1, pp. 33-50Google Search
3 
Bang J.H., Lee S.H., Choi J.Y., Lee S.H., 2017, Evaluation of reservoir drought response capability considering precipitation of non-irrigation period using RCP scenario, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 59, No. 1, pp. 31-43Google Search
4 
Brown I.M., Poggio L., Gimona A., 2011, Climate change, drought risk and land capability for agriculture: implications for land use in Scotland, Regional Environmental Change, Vol. 11, No. 3, pp. 503-518Google Search
5 
Chae Y.R., Lee C.H., Hope C., 2017, (Korean Literature], Analyzing damage costs of climate change in Korea applying IPCC scenario system, Korea Environmental Institute
6 
Cho H.L., Jeong E., Koo B.K., 2015, Development of a hybrid watershed model STREAM: model structures and theories, (Korean Literature), Journal of Korean Society on Water Environment, Vol. 31, No. 5, pp. 491-506Google Search
7 
Chung S.O., 2009, Climate change impacts paddy irrigation requirement in the Nakdong river basin, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 51, No. 2, pp. 35-41Google Search
8 
Han River Flood Control Office (HRFCO), 2018, http://www.wamis.go.kr (accessed Dec. 2018), Water Resources Management Information System (WAMIS)
9 
Intergovernmental Panel on Climate Change (IPCC), 2014, Climate Change 2014: Synthesis Report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, pp. 1-151Google Search
10 
Jeon J.H., Yoon C.G., Donigian A.S., Jung K.W., 2007, Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions, Agricultural Water Management, Vol. 90, pp. 75-86Google Search
11 
Jung I.W., Lee B.J., Jun T.H., Bae D.H., 2008, Hydrological model response to climate change impact assessments on water resources, (Korean Literature), Journal of Korea Water Resources Association, Vol. 41, No. 9, pp. 907-917Google Search
12 
Jung H.C., Suh M.S., 2015, Correction of mean and extreme temperature simulation over South Korea using a trend-preserving bias correction method, (Korean Literature), Atmosphere Korean Meteorological Society, Vol. 25, No. 2, pp. 205-219Google Search
13 
Jung I.W., Bae D.H., Kim G., 2011, Recent trends of mean and extreme precipitation in Korea, International Journal of Climatology, Vol. 31, pp. 359-370Google Search
14 
Kim Y.J., Jung E.S., 2011, (Korean Literature], Water resources: Their current state and assessment, Korea Environment Institute
15 
Korea Meteorological Administration (KMA), 2018, 11-1360000000705-01. [Korean Literature], 2017 abnormal climate report, Korea Meteorological Administration, pp. 1-218
16 
Maeng S.J., Jeong J.H., Kim H.S., Muhammad A., Hwang M.H., 2015, Runoff analysis using precipitation by climate change scenario and observed precipitation, (Korean Literature), Crisis and Emergency Management, Vol. 11, No. 2, pp. 241-259Google Search
17 
Maurer E.P., Pierce D., 2014, Bias correction can modify climate model simulated precipitation changes without adverse effect on the ensemble mean, Hydrology and Earth System Sciences, Vol. 18, pp. 915-925Google Search
18 
Moriasi D.N., Gitau M.W., Daggupati P.P., 2015, Hydrologic and water quality models: Performance measures and evaluation criteria, American Society of Agricultural and Biological Engineers, Vol. 58, No. 6, pp. 1763-1785Google Search
19 
Moriasi D.N., Gitau M.W., Daggupati P.P., 2015, Hydrologic and water quality models: Performance measures and evaluation criteria, American Society of Agricultural and Biological Engineers, Vol. 58, No. 6, pp. 1763-1785Google Search
20 
Myeong S., 2014, Agriculture under UNFCCC, and its policy implications, (Korean Literature), Journal of Climate Change Research, Vol. 5, No. 4, pp. 313-321Google Search
21 
Nam W.H., Hong E.M., Kim T., Choi J.Y., 2014, Projection of future water supply sustainability in agricultural reservoirs under RCP climate change scenarios, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 56, No. 4, pp. 59-68Google Search
22 
National Institute of Meteorological Sciences, 2012, (Korean Literature], Global climate change report for response to IPCC 5th assessment report 2012, National Institute of Meteorological Sciences
23 
Nosrati K., 2011, The effects of hydrological drought on water quality, IAHS AISH Publ, Vol. 348, pp. 51-56Google Search
24 
Park J.Y., Park M.J., Ahn S.R., Kim S.J., 2009, Watershed modeling for assessing climate change impact on stream water quality of Chungju dam watershed, (Korean Literature), Journal of Korea Water Resources Association, Vol. 42, No. 10, pp. 877-889Google Search
25 
Park J., Kang M.S., Song I., 2012, Bias correction of RCP-based future extreme precipitation using a quantile mapping method; for 20-weather stations for South Korea, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 54, No. 6, pp. 133-142Google Search
26 
Rural Development Administration (RDA), 2018, http://www.nongsaro.go.kr, (accessed Dec. 2018), Nongsaro
27 
Rural Research Institute, 2014, (Korean Literature], Development of improved farming methods for agricultural non-point source pollution reduction, Rural Research Institute
28 
Ryu J., Park Y.S., Han M., Ahn K.H., Kum D., Lim K.J., Park B.K., 2014, Enhancement of land load estimation method in TMDLs for considering of climate change scenarios, (Korean Literature), Journal of Korean Society on Water Environment, Vol. 30, No. 2, pp. 212-219Google Search
29 
Ryu J.H., Kang M.S., Song I., Park J., Song J.H., Jun S.M., Kim K., 2015, Estimation of design flood for the Gyeryong reservoir watershed based on RCP scenarios, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 57, No. 1, pp. 59-68Google Search
30 
Sakaguchi A., Eguchi S., Kato T., Kasuya M., Ono K., Miyata A., Tase N., 2014, Development and evaluation of paddy module for improving hydrological simulation in SWAT, Agricultural Water Management, Vol. 137, pp. 116-122Google Search
31 
Song J.H., Kang M.S., Song I.H., Hwang S.H., Park J., Ahn J.H., 2013, Surface drainge simulation model for irrigation districts composed of paddy and protected cultivation, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 55, No. 3, pp. 63-73Google Search
32 
Yi H.S., Kim D.S., Hwang M.H., An K.G., 2016, Assessment of runoff and water temperature variations under RCP climate change scenario in Yongdam dam watershed, South Korea, (Korean Literature), Journal of Korean Society on Water Environment, Vol. 32, No. 2, pp. 173-182Google Search
33 
Yun D.K., Chung S.O., Kim S.J., 2011, Climate change impacts on paddy water requirement, (Korean Literature), Journal of the Korean Society of Agricultural Engineers, Vol. 53, No. 4, pp. 39-47Google Search
뒤로가기