Browse > Article
http://dx.doi.org/10.17663/JWR.2019.21.s-1.80

Evaluation of the Relationship between Meteorological Drought and Agricultural Drought of Geum River Basin During 2014~2016  

Lee, Ji Wan (School of Civil and Environmental Engineering, College of Engineering, Konkuk University)
Kim, Kyoung-Ho (Environmental Assessment Group, Korea Environment Institute)
Kim, Sehoon (School of Civil and Environmental Engineering, College of Engineering, Konkuk University)
Woo, Soyoung (School of Civil and Environmental Engineering, College of Engineering, Konkuk University)
Kim, Seong Joon (School of Civil and Environmental Engineering, College of Engineering, Konkuk University)
Publication Information
Journal of Wetlands Research / v.21, no.spc, 2019 , pp. 80-89 More about this Journal
Abstract
The purpose of this study is to analyze the relationship between SPI (Standardized Precipitation Index) meteorological drought and RDI (Reservoir Drought Index) agricultural drought for Geum river basin. Drought Indices was calculated by collecting data of precipitation and agricultural reservoir water storage rate from 2014 to 2016. To evaluated the correlation between meteorological and agricultural drought, the Pearson correlation and the Receiver Operation Characteristic (ROC) analysis were conducted to evaluate the correlation between meteorological and agricultural droughts. The SPI-6 and RDI showed the highest relationship with Pearson coefficient 0.606 and ROC hit rates 0.722 respectively, and the spatial occurrence patterns of drought using overlapped SPI-6 and RDI, the big differences between the 2 indices were occurred in the upstream areas of Miho stream and Nonsan stream from August to October 2015. The analysis using reservoirs specifications for areas where reservoir droughts occurred was conducted, and the areas showing severe drought of RDI were the reservoir areas having relatively small value of basin magnifying power (BMP). This means that a reservoir has the reaction capability for agricultural drought mainly depending on the reservoir BMP.
Keywords
Meteorological drought; Agricultural drought; Reservoir water storage rate; ROC analysis;
Citations & Related Records
Times Cited By KSCI : 17  (Citation Analysis)
연도 인용수 순위
1 Lee, JW, Jung, CG, Chung, JH, and Kim, SJ. (2019) The relationship among meteorological, agricultural, and in situ news-generated big data on droughts, Natural Hazards, 98(2) pp. 765-781. [DOI:/10.1007/s11069-019-03729-7]
2 Lee, SH, and Kim GB, (2010). Prediction of Drought using Logistic Regression. Proceeding of Engineering Geology, pp. 327-329. [Korea Literature]
3 Mason, I. (1982). A model for assessment of weather forecasts. Aust. Meteor. Mag, 30(4), 291-303.
4 Ministry of Land, Infrastructure and Transport, (2016). A Study of Response System for Drought, 11-1613000-001391-01
5 Nam, WH, Choi, JY, Jang, MW, and Hong, EM. (2013). Agricultural Drought Risk Assessment using Reservoir Drought Index. J. of the Korean Society of Agricultural Engineers, 55(3), pp. 41-49. [Korea Literature] [DOI:/10.5389/KSAE.2013.55.3.041]   DOI
6 Park, GU, Choi, JY, Go, GD, and Nam,WH, (2012). Development and Operation of the Agricultual Management System. Water for future, 45(5), pp. 31-38. [Korea Literature]
7 Park, MJ, Shin, HJ, Choe, YD, Park, JY, and Kim, SJ. (2011). Development of a Hydrological Drought Index Considering Water Availability. J. of the Korean Society of Agricultural Engineers, 53(6), pp. 165-170. [Korea Literature] [DOI:/10.5389/KSAE.2011.53.6.165]   DOI
8 Seo, HD, Jung, SM, Kim, SJ, and Lee, JH. (2008). A Study on the Optimal Water Supply using Virtual Drought Exercise with Hydrological Drought Index. J. of Korea Water Resources Association, 41(10), pp. 1045-1058. [Korea Literature] [DOI:/10.3741/JKWRA.2008.41.10.1045]   DOI
9 Son, KH, Bae, DH, and Cheong, HS. (2015). Construction & Evaluation of GloSea5-Based Hydrological Drought Outlook System, Atmosphere, 25(2), pp. 271-281. [Korea Literature] [DOI:/10.14191/ATMOS.2015.25.2.271]   DOI
10 Song, SH. (2015) Effects of Drought on the Reduction of Subsurface Water Dependence for Agricultural Applications. Magazine of the Korean Society of Agricultural Engineers, 57(4), pp. 25-30. [Korea Literature]   DOI
11 Won, KJ, and Chung ES. (2016). Drought analysis of Cheongmicheon watershed using meteorological, agricultural and hydrological drought indices, J. of Korea Water Resources Association, 49(6), pp. 509-518. [Korea Literature] [DOI:/10.3741/JKWRA.2016.49.6.509]   DOI
12 Yu, M, Cho, Y, Kim, TW, and Chae, HS. (2018). Analysis of drought propagation using hydrometeorological data: from meteorological drought to agricultural drought. J. of Korea Water Resources Association, 51(3), pp. 195-205. [Korea Literature] [DOI:/10.3741/JKWRA.2018.51.3.195]   DOI
13 Kim, SD, Lee, AY., Lee, JW. and Kim, T.W. (2011). Spatio-Temporal Analysis of Future Extreme Drought Events Using a Conceptual Soil Water Model. J. of Korean Society of Hazard Mitigation, 11(6), pp. 349-356. [Korean Literature] [DOI: /10.9798/kosham.2011.11.6.349]   DOI
14 Bang, JH, Lee, SH, Choi, JY, and Lee, SH. (2017). Evaluation of Reservoir Drought Response Capability Considering Precipitation of Non-irrigation Period using RCP Scenario. J. of the Korean Society of Agricultural Engineers, 59(1), pp. 31-43. [Korea Literature] [DOI:/10.5389/KSAE.2017.59.1.031]   DOI
15 Jang, MW, Jeong HU, and Park GU. (2003). Research Paper : Development of An Agricultural Drought Evaluation Model for Administrative Decision Support. J. of Korean Society of Rural Planning, 9(2), pp. 29-37. [Korea Literature]
16 Jeong, MS, Lee, CH, Lee, JH, and Hong, IP. (2017). Analysis of Hydrological Drought Considering MSWSI and Precipitation. J. of the Korea Academia-Industrial cooperation Society, 18(12), pp. 668-678. [Korean Literature] [DOI:/10.5762/KAIS.2017.18.12.668]
17 Kim, GB, Yun HH. and Kim DH. (2006). Relationship Between Standardized Precipitation Index and Groundwater Levels: A Proposal for Establishment of Drought Index Wells. J. of soil and groundwater environment, 11(3), pp. 31-42. [Korean Literature]
18 Kim, GS, and Lee JW. (2011). Evaluation of Drought Indices using the Drought Records, J. of Korea Water Resources Association, 44(8), pp. 639-652. [Korean Literature] [DOI:10.3741/JKWRA.2011.44.8.639]   DOI
19 Kim, JS, Lee, JY, Lee, JB, Song, CM, and Park, JS. (2016). Evaluation of Agricultural Water Supply Potential in Agricultural Reservoirs, J. of the Korean Society of Agricultural Engineers, 58(2), pp. 65-71. [Korean Literature] [DOI:/10.5389/KSAE.2016.58.2.065]   DOI
20 Kim, JU, Jung, CG., Lee, JW, and Kim, SJ. (2018). Development of Naïve-Bayes classification and multiple linear regression model to predict agricultural reservoir storage rate based on weather forecast data. J. of Korea Water Resources Association, 51(10), pp. 839-852. [Korean Literature] [DOI:/10.3741/JKWRA.2018.51.10.839]   DOI
21 Kim, SJ, Ahn SR, Shin YH, Na SJ, and Kwon HJ. (2009). Development and Application of Hydrological Drought Assessment Technique, GRI review, 11(1), pp. 163-182. [Korean Literature]
22 Kim, SJ, Song, SH, and An, JG. (2015). Analysis of Groundwater Variation Characteristics in Ganghwa Island according to the Drought in 2015. Proceedings of the 2015 Korean Society of Agricultural Engineers Conference, Korean Agricultural Engineers, Naju Korea, pp. 134-134. [Korean Literature]
23 Lee, BR., Bae, BG, and Choi, SH. (2015). Drought analysis using comparison of standardized precipitation index and social big data. Proceeding of Korea Information Science Society pp. 16-18. [Korea Literature]
24 Kim, SJ, and Lee JW. (2017). The need to collect and utilize big data on site-sensitive droughts (social and economic droughts), Water for future, 50(7), pp. 54-61 [Korean Literature]
25 Kim, SM, and Park SW. (1999). Calculation and Comparison of Drought Indices on Major Weather Stations in Korea. Magazine of the Korean Society of Agricultural Engineers, 41(5), pp. 43-52. [Korean Literature[
26 Kim, SR, Jang, MW, Kim, SJ, and Bae, SJ. (2017). Spatial and Temporal Analysis of Drought Using the Storage Data of Agricultural Reservoirs in Chungnam Province in 2015. J. of the Korean Society of Agricultural Engineers, 59(2), pp. 29-36. [Korean Literature] [DOI:/10.5389/KSAE.2017.59.2.029]   DOI
27 Lee, H. (2014). A study on drought area and severity by big data analysis. Unpublished master's thesis, Hanseo University, Seosan. Korea, [Korea Literature]
28 Lee, JH, Jung, SM, Kim, JH, and Ko, YS. (2006). Development of Drought Monitoring System: II. Quantitative Drought Monitoring and Drought Outlook Methodology. J. of Korea Water Resources Association, 39(9), pp. 801-812. [Korea Literature] [DOI:/10.3741/JKWRA.2006.39.9.801]   DOI
29 Lee, JW, Jang, SS, Ahn, SR, Park, KW, and Kim, SJ. (2016). Evaluation of the Relationship between Meteorological, Agricultural and In-situ Big Data Droughts. J. of the Korean Association of Geographic Information Studies, 19(1), pp. 64-79. [Korea Literature] [DOI:/10.11108/KAGIS.2016.19.1.064]   DOI
30 Lee, JW, Kim, JU, Jung, CG., and Kim, SJ. (2018). Forecasting Monthly Agricultural Reservoir Storage and Estimation of Reservoir Drought Index (RDI) Using Meteorological Data Based Multiple Linear Regression Analysis. J. of the Korean Association of Geographic Information Studies, 21(3), pp. 19-34. [Korea Literature] [DOI:/10.11108/KAGIS.2018.21.3.019]   DOI