JOURNAL BROWSE
Search
Advanced SearchSearch Tips
The Estimation of Water Balance at Regional Upland According to RCP8.5 Scenario from 2011 to 2020
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
The Estimation of Water Balance at Regional Upland According to RCP8.5 Scenario from 2011 to 2020
Shin, Kook-Sik; Cho, Hyun-Sook; Seong, Ki-Young; Park, Tae-Seon; Kang, Hang-Won; Seo, Myung-Chul;
  PDF(new window)
 Abstract
In order to evaluate water balance at upland according to RCP8.5 climate change scenario distributed by Korean Meteorological Administration (KMA), we simulated soil moisture using estimation model, called AFKAE0.5 for 66 sites from 2011 to 2020, and established the water balance maps. The amount of annual average precipitation by RCP8.5 scenario was highest in 2016 as recorded 2,062 mm and lowest in 2011 with 1,134 mm. As result of analysis for monthly precipitation and runoff, the amounts of precipitation and runoff have been especially intensive in July in 2014, 2016, 2019, and 2020. Overall, the area of Kyeongbuk and Gyeonggi was estimated more dried status of soil compared with precipitation. Except 2015 and 2020, soil water balance was recorded as negative value in other years which was calculated by subtracting output from input. The status of soil moisture was the most dry in 2020 among those in other years.
 Keywords
Climate change;Scenario RCP8.5;Soil moisture estimation model;Water balance;Annual precipitation evapotranspiration;
 Language
Korean
 Cited by
 References
1.
Cai, J., Y. Liu, T. Lei, and L.S. Pereira. 2007. Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agricultural and Forest Meteorology Vol. 145:22-35. crossref(new window)

2.
Climate Change Information Center (CCIC), http://www.climate.go.kr/index.html, Korea Meteorological Administration.

3.
IPCC. 2007. Climate Change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.

4.
Kim, C.G., S.M. Lee, H.K. Jeong, J.K. Jang, and C.K. Lee. 2009. Impacts and Countermeasures of Climate Change in Korean Agriculture. Korea Rural Economic Institute Report 593.

5.
Kim, G.S. and J.W. Lee. 2011. Evaluation of drought Indices using the drought records. Journal of Korea Water Resources Association vol. 44(8):639-652. crossref(new window)

6.
Lee, B.W., J.C. Shin, and J.H. Bong. 1991. Impact of Climate Change Induced by the Increasing Atmospheric $CO_2$ Concentration on Agroclimatic Resources, Net Primary Productivity and Rice Yield Potential in Korea. Korean J. Crop Sci. 36(2):112-126.

7.
Moon, J.W. and D.R. Lee. 2012. A Study on the Parameter Stabilization of Palmer Drought Severity Index. Journal of the Korean Society of Hazard Mitigation. Vol. 12(5):91-99. crossref(new window)

8.
National Institute of Meteorological Research. 2011. The climate change scenarios report for responding to the IPCC 5 assessment report (in korea).

9.
Ryu, J.H., D.R. Lee, J.H. An, and O.N. Yoon, 2001. A comparative study on the drought indices for drought evaluation. Journal of Korea Water Resources Association. Vol. 35(4):397-410. crossref(new window)

10.
Seo, M.C., S.O. Hur, Y.K. Sonn, H.S. Cho, W.T. Jeon, M.K. Kim, and M.T. Kim. 2012. The Development of Estimation Model (AFKAE0.5) for Water Balance and Soil Water Content Using Daily Weather Data. Korean society of soil sci. and fert. Vol. 45(6):1203-1210. crossref(new window)

11.
Seo, M.C., S.O. Hur, Y.K. Sonn, M.K. Kim, J.Y. Ko, and J.S. Lee. 2010. The Estimation on Soil Moisture Contents by Using Soil Moisture Contents Prediction Program(AFKAEN). Korean society of soil sci. and fert. Symposium:188-189.

12.
Vining, K.C. 1989. Effects of Weather on Agricultural Crop and Livestock: An Overview. International Journal of Environmental Studies 36:27-39.