All Issue

2024 Vol.57, Issue 2 Preview Page

Research Article

Spatial analysis of water shortage areas in South Korea considering spatial clustering characteristics

공간군집특성을 고려한 우리나라 물부족 핫스팟 지역 분석

Dong Jin Leea
,
Tae-Woong Kimb*
이 동진a
,
김 태웅b*
aPh.D. Student, Department of Civil and Environmental System Engineering, Hanyang University, Seoul, Korea
bProfessor, Department of Civil and Environmental Engineering, Hanyang University, Ansan, Korea
a한양대학교 대학원 건설환경시스템공학과 박사과정
b한양대학교(ERICA) 건설환경공학과 교수
*Corresponding Author
29 February 2024. pp. 87-97
PDF XML Citation
Abstract

This study analyzed the water shortage hotspot areas in South Korea using spatial clustering analysis for water shortage estimates in 2030 of the Master Plans for National Water Management. To identify the water shortage cluster areas, we used water shortage data from the past maximum drought (about 50-year return period) and performed spatial clustering analysis using Local Moran's I and Getis-Ord Gi*. The areas subject to spatial clusters of water shortage were selected using the cluster map, and the spatial characteristics of water shortage areas were verified based on the p-value and the Moran scatter plot. The results indicated that one cluster (lower Imjin River (#1023) and neighbor) in the Han River basin and two clusters (Daejeongcheon (#2403) and neighbor, Gahwacheon (#2501) and neighbor) in the Nakdong River basin were found to be the hotspot for water shortage, whereas one cluster (lower Namhan River (#1007) and neighbor) in the Han River Basin and one cluster (Byeongseongcheon (#2006) and neighbor) in the Nakdong River basin were found to be the HL area, which means the specific area have high water shortage and neighbor have low water shortage. When analyzing spatial clustering by standard watershed unit, the entire spatial clustering area satisfied 100% of the statistical criteria leading to statistically significant results. The overall results indicated that spatial clustering analysis performed using standard watersheds can resolve the variable spatial unit problem to some extent, which results in the relatively increased accuracy of spatial analysis.

Keywords
Local Moran’s I
Spatial clustering analysis
Water shortage
Hotspot

본 연구에서는 국가물관리기본계획의 2030년 물부족량 전망자료를 이용하여 공간군집특성을 고려한 우리나라 물부족 핫스팟 지역을 분석하였다. 물부족 최심 군집지역 도출을 위하여 표준유역 기준의 과거 최대 가뭄(약 50년 빈도)에 대한 물부족량 자료를 이용하여, Local Moran’s I와 Getis-Ord Gi* 통계량으로 공간군집분석을 수행하였다. 클러스터맵(Cluster Map)을 통해 물부족 공간군집 대상지역을 선정하고, 공간적 군집 특성은 p-값 및 모란 산점도를 통해 적정성을 검증하였다. 분석 결과, 한강권역 내 1개 군집[임진강하류(#1023) 및 주변]과 낙동강권역 내 2개 군집[대종천(#2403) 및 주변, 가화천(#2501) 및 주변] 지역이 물부족이 심각한 핫스팟 지역으로 나타났으며, 한강권역 내 1개 군집[남한강하류(#1007) 및 주변]과 낙동강권역 내 1개 군집[병성천(#2006) 및 주변] 지역이 물부족 HL (해당지역은 물부족량이 많고 주변지역은 물부족량이 적은) 지역으로 나타났다. 표준유역단위 공간군집분석을 수행할 경우 물부족 공간군집지역 전체가 통계량 기준을 100% 만족하여 통계적으로 유의미한 결과가 도출되었다. 이는 표준유역 단위로 공간군집분석을 할 경우 가변적 공간단위 문제를 일정 부분 해결한 것으로 공간군집분석의 정확성이 상대적으로 높아졌다.

키워드
국지적 모란지수
공간군집분석
물부족
핫스팟
References
1
Anselin, L. (2005). Exploring spatial data with GeodaTM: A workbook, spatial analysis laboratory. Department of Geography, University of Illinois, Urbana-Campaign, Champaign, IL, U.S.
2
Chae, J., Park, S., and Byun, B. (2014). "An analysis of spatial concentrated areas of single person households and concentrating factors in Seoul." Seoul Studies, Vol. 15, No. 2, pp. 1-16 (in Korean).
3
Cho, D. (2013). "Trends and methodological issues in spatial cluster analysis for count data." Journal of the Korean Geographical Society, Vol. 48, No. 5, pp. 768-785 (in Korean).
4
Chung, K.S. (2012) "Busan housing market dynamics analysis with ESDA using MATLAB application." Journal of Korea Contents Association, Vol. 12, pp. 461-471 (in Korean). 10.5392/JKCA.2012.12.02.461
5
Farmer, D., Sivapalan, M., and Jothityangkoon, C. (2003). "Climate, soil and vegetation controls upon the variability of water balance in temperate and semiarid landscapes: Downward approach to water balance analysis." Water Resources Research, Vol. 39, No. 2, pp. 1-21. 10.1029/2001WR000328
6
Jang, M. (2016). "Analysis on the characteristics of urban decline using GIS and spatial statistical method: The case of Gwangju Metropolitan City." Journal of The Korean Association of Regional Geographers, Vol. 22, No. 2, pp. 424-438 (in Korean).
7
Joint Ministries (2020a). National drought information statistics for 2018. Publication No. 11-1741000-000244-10, p. 332 (in Korean).
8
Joint Ministries (2020b). The 1st master plans for national water management establishment research. Publication No. 11-1480000-001831-01, pp. 624-653 (in Korean).
9
Joint Ministries (2021). The 1st master plans for national water management. Publication No. 11-1480000-001756-14, Vol. 22, No. 2, pp. 49-53 (in Korean).
10
Joint Ministries (2023). Abnormal climate report for 2022. Publication No. 11-1360000-001109-10, pp. 26-31, 70-74 (in Korean).
11
Kang, H.J. (2008) "Hot spot analysis: Basis of spatial analysis, utilization and understanding of local Moran's I and nearest neighbor analysis." Planning and Policy, Vol. 324, pp. 116-121 (in Korean).
12
Kim, B.S., Kwon, H.H., and Kim, H.S. (2011). "Impact assessment of climate change on drought risk." Journal of Wetlands Research, Vol. 13, No. 1, pp. 1-11 (in Korean).
13
Kim, G.G. (2003) "Exploration of spatial autocorrelation and utilization of spatial regression analysis." Journal of Korean Association for Policy Analysis and Evaluation, Vol. 13, pp. 273-294 (in Korean).
14
Kim, J.H., Choi, G.W., and Park, S.W. (2010) "A root cause analysis for drought in Taeback City, Kang won-do in 2008." Journal of Korean Society for Water and Wastewater, Vol. 24, No. 3, pp. 351-359 (in Korean).
15
Lee, D.J., Son, H.J., Yoo, J.Y., and Kim, T.W. (2023) "Spatial analysis of water shortage areas considering spatial clustering characteristics in the Han River Basin." Journal of Korea Water Resources Association, Vol. 56, No. 5, pp. 325-336 (in Korean).
16
Lee, S.H., Chang, H., and Rho, J.A. (2011) "The changes in the quality of life measure of the Seoul Metropolitan Area." Journal of Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography, Vol. 29, pp. 29-37 (in Korean). 10.7848/ksgpc.2011.29.1.29
17
Liu, Y., Liu, Y., Wang, W., and Zhou, H. (2021). "Propagation of soil moisture droughts in a hotspot region: Spatial pattern and temporal trajectory." Journal of Hydrology, Vol. 593, 125906. 10.1016/j.jhydrol.2020.125906
18
Ministry of Environment (ME) (2022). 2021 statistics of waterworks. Publication No. 11-1480000-001181-10, pp. 1-32 (in Korean).
19
Park, H.B. (2018). A study on the overcrowding distribution and location influence factors of elderly care facilities in Seoul Metropolitan Area. Ph. D. Dissertation. Gachon University, pp. 38-45
20
Son, H.J., Byun, S.H., Park, J.W., and Kim, T.W. (2023) "Analysis of drought hotspot areas using local indicators of spatial association in the Nakdong River basin." Journal of Civil and Environmental Engineering Research, Vol. 43, No. 2, pp. 175-185 (in Korean).
21
Water Resources Management Information System (WAMIS) (2023). Korea, accessed 8 September 2023, <http://www.wamis.go.kr>.
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 57
  • No :2
  • Pages :87-97
  • Received Date : 2023-10-14
  • Revised Date : 2023-12-25
  • Accepted Date : 2024-01-23
  • DOI :https://doi.org/10.3741/JKWRA.2024.57.2.87
Journal Informaiton Journal of Korea Water Resources Association Journal of Korea Water Resources Association
Online Submission
Archives
  • scopus
  • KCI-수자원
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close