All Issue

2023 Vol.58, Issue 2 Preview Page

Research Article

30 April 2023. pp. 178-193
Abstract
References
1
곽창재・최우정・조재웅, 2015, "돌발홍수 지수를 이용한 북한 홍수 위험도 평가 - 임진강 유역을 중심으로 -," 한국수자원학회논문집, 48(12), 1037-1049.
2
국립재난안전연구원(NDMI), 2017, 재난 위험도 평가 및 대응 기반기술 구축(Ⅳ).
3
기상자료개방포털, 북한 강수량 자료, https://data.kma.go. kr/cmmn/main.do
4
김근한・이길상・김오석・최희선, 2019, "용도지역과 로지스틱 회귀분석을 이용한 도시지역 확장 예측 연구," 한국지리학회지, 8(3), 517-527. 10.25202/JAKG.8.3.12
5
김금지, 2020, "북한 재난취약요인 검토를 통한 지역별 자연재난 위험도평가에 관한 연구," 대한건축학회논문집, 36 (10), 53-61.
6
김성민・서장원・오명찬・양아란・송재준・박형동, 2020, "북한 광물자원 교류를 위한 GIS 기반의 북한 교통 인프라 네트워크 분석," 한국자원공학회지, 57(2), 159-167.
7
김예빈・박형동, 2021, "침수 취약성을 반영한 북한 광산-항만 간 최적 경로 GIS 분석," 대한공간정보학회지, 29(3), 37-49. 10.7319/kogsis.2021.29.3.037
8
김정환・김태균・이보림, 2017, "태풍 피해유형 분석과 태풍피해예측함수 개발," 한국방재학회논문집, 17(2), 339-347.
9
김주훈・최윤석・김경탁, 2015, "위성 강우자료를 이용한 북한지역 홍수량 추정," 한국지리정보학회지, 18(4), 31-42.
10
남성욱・황주희, 2018, "북한 행정구역 개편의 함의와 행정통합에 관한 연구," 통일정책연구, 27(1), 113-142.
11
박소연・김백조・안숙의, 2010, "북한의 자연재난 현황 및 특성," 한국방재학회 논문집, 10(3), 21-29.
12
북한지역정보넷, 북한지도자료, http://www.cybernk.net/
13
손아롱・김종필, 2019, "원격탐사와 공간정보를 활용한 미계측 유역 홍수범람 해석에 관한 연구(I) - 홍수량 산정을 중심으로 -," 대한원격탐사학회지, 35(5), 781-796.
14
오삼언・박소영, 2022, "북한의 자연재해와 기후변화 대응전략," 현대북한연구, 25(3), 181-223.
15
우효섭・김양수, 1996, "1996년 7월 임진강 유역 대홍수," 한국수자원학회지, 29(4), 50-56.
16
이사로・오현주, 2019, "Evidential Belief Function, Weight of Evidence 및 Artificial Neural Network 모형을 이용한 산사태 공간 취약성 예측 연구," Korean Journal of Remote Sensing, 35(2), 299-316.
17
이상태, 1999, "임진강유역의 수해와 항구대책," 한국수자원학회지, 32(6), 8-15.
18
이상혁・강정은・박창석, 2016, "베이지안 확률통계와 GIS를 연계한 기후변화 도시홍수 리스크 평가: 서울시 서초구를 대상으로," 한국지리정보학회지, 19(4), 36-51.
19
조성진・이규일・윤승호・문성국・김현명, 2019, "대중교통 접근성 분석에 있어서 가변적 공간단위 문제," 대한교통학회지, 37(6), 499-513. 10.7470/jkst.2019.37.6.499
20
최용호, 2020, 코로나 19 사태와 북한 식량수급 동향과 전망, 한국농촌경제연구원 농정포커스, 1-17.
21
통일연구원, 2017, 북한 재난협력 방안과 과제.
22
한국환경정책・평가연구원(KEI), 2008, 북한의 자연재난 취약지 추정 및 남북협력 방안 연구.
23
한국환경정책・평가연구원(KEI), 2016, 통일 대비 북한지역 자연재난 대응을 위한 자료 구축과 남북협력 방안 연구(I).
24
한국환경정책・평가연구원(KEI), 2019, 북한의 산림복원과 기후변화가 물관리 취약성에 미치는 영향과 정책방향 연구.
25
홍일표, 2003, "북한의 기상재난과 재난대책," 한국수자원학회지, 36(6), 11-114.
26
황석형・김응희・김수환・송경환・김민경, 2020, "딥러닝기반 강화학습 모형 성능비교-국내 주식시장 사례연구," 한국정보과학회 학술발표논문집, 1319-1321.
27
Centre for Research on the Epidemiology of Disasters (CRED), 2018, Review of Disaster Events (Supplementary Information).
28
Corominas, J., van Wenten, C., Frattini, P., Cascini, L. and Malet, J.P., 2014, Recommendations for the quantitative analysis of landslide risk. Bull Engineering Geological Environment, 73, 209-263. 10.1007/s10064-013-0538-8
29
Danumah, J.H., Odai, S.N., Saley, B.M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F.K., and Akpa, L.Y., 2016, Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques,(cote d'ivoire), Geoenviron Disasters, 3(1), 1-13. 10.1186/s40677-016-0044-y
30
Devia, G. K., Ganasri, B. P. and Dwarakish, G. S., 2015, A review on hydrological models, Aquatic Procedia, 4(1), 1001-1007. 10.1016/j.aqpro.2015.02.126
31
El-Rawy, M., Elsadek, W. M. and De Smedt, F, 2022, Flash flood susceptibility mapping in Sinai, Egypt using hydromorphic data, principal component analysis and logistic regression, Water, 14(15), 2434. 10.3390/w14152434
32
Falguni, M. and Singh, D., 2020, Detecting flood prone areas in Harris County: a GIS based analysis, GeoJournal, 85(3), 647-663. 10.1007/s10708-019-09984-2
33
Jung, M., Kim, J. G., Uranchimeg, S. and Kwon, H. H., 2020, The probabilistic estimation of inundation region using a multiple logistic regression analysis, Journal of Korea Water Resources Association, 53(2), 121-129.
34
Kang, J. Y., Aldstadt, J., Vandewalle, R., Yin, D. and Wang, S., 2020, A CyberGIS approach to spatiotemporally explicit uncertainty and global sensitivity analysis for agent-based modeling of vector-borne disease transmission, Annals of the American Association of Geographers, 110(6), 1855-1873. 10.1080/24694452.2020.172340035106407PMC8803269
35
Kim, H. I., Han, K. Y. and Lee, J. Y., 2020, Prediction of urban flood extent by LSTM model and logistic regression, KSCE Journal of Civil and Environmental Engineering Research, 40(3), 273-283.
36
Kim, K. M. and Park, H. J, 2017, A comparative study of fuzzy based frequency ratio and cosine amplitude method for landslide susceptibility in Jinbu area, Economic and Environmental Geology, 50(3), 195-214.
37
Lee, M. J., Kang, J. E. and Jeon, S., 2012, Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS, In 2012 IEEE International Geoscience and Remote Sensing Symposium, 895-898. 10.1109/IGARSS.2012.6351414
38
Lim, J. and Lee, K. S., 2018, Flood mapping using multi-source remotely sensed data and logistic regression in the heterogeneous mountainous regions in North Korea, Remote Sensing, 10(7), 1036. 10.3390/rs10071036
39
Lim, J., Kim, K. M. and Lee, K. S., 2019, Does deforestation trigger severe flood damage at Hoeryeong City in North Korea?, Forests, 10(9), 789. 10.3390/f10090789
40
Long, Y., Lv, Q., Wen, X. and Yan, S., 2023, Bayesian logistic regression in providing categorical streamflow forecasts using precipitation output from climate models, Stochastic Environmental Research and Risk Assessment, 37(2), 639-650. 10.1007/s00477-022-02295-y
41
Nandi, A., Mandal, A., Wilson, M. and Smith, D., 2016, Flood hazard mapping in Jamaica using principal component analysis and logistic regression, Environmental Earth Sciences, 75, 1-16. 10.1007/s12665-016-5323-0
42
Parvin, F., Ali, S. A., Calka, B., Bielecka, E., Linh, N. T. T., and Pham, Q. B., 2022, Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms, Theoretical and Applied Climatology, 149(1-2), 639-659. 10.1007/s00704-022-04068-7
43
Pradhan, B., 2009, Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing, Journal of Spatial Hydrology, 9(2), 1-18.
44
Tehrany, M. S. and Kumar, L., 2018, The application of a Dempster-Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods, Environmental Earth Sciences, 77, 1-24. 10.1007/s12665-018-7667-0
45
Tehrany, M. S., Kumar, L., Jebur, M. N. and Shabani, F., 2019, Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods, Geomatics, Natural Hazards and Risk, 10(1), 79-101. 10.1080/19475705.2018.1506509
46
Tehrany, M. S., Pradhan, B. and Jebur, M. N., 2014, Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS, Journal of Hydrology, 512, 332-343. 10.1016/j.jhydrol.2014.03.008
47
Voice of Korea(VOA), Article of north Korea, https://www.voakorea.com/a/3608896.html
48
Yusoff, S., Pradhan, B., Manap, M. A. and Shafri, H. Z. M., 2015, Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS, Open Geosciences, 7(1), 149-161. 10.1515/geo-2015-0012
49
Zeleňáková M., Blistan P. and Purcz P., 2015, Assessment of flood vulnerability in the Bodva catchment using multi-criteria analysis and geographical information systems, River Basin Manag, 8, 51-59. 10.2495/RM150051
Information
  • Publisher :The Korean Geographical Society
  • Publisher(Ko) :대한지리학회
  • Journal Title :Journal of the Korean Geographical Society
  • Journal Title(Ko) :대한지리학회지
  • Volume : 58
  • No :2
  • Pages :178-193
  • Received Date : 2023-04-05
  • Revised Date : 2023-04-24
  • Accepted Date : 2023-04-24