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2018 Vol.51, Issue 7 Preview Page

Research Article

July 2018. pp. 565-574
Abstract
References
1
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F. (2013). “GloFAS-global ensemble streamflow forecasting and flood early warning.” Hydrology and Earth System Sciences, Vol. 17, No. 3, pp. 1161-1175. doi: 10.5194/hess-17-1161-2013.
10.5194/hess-17-1161-2013
2
Andrewin, A. N., Rodriguez-Llanes, J. M., and Guha-Sapir, D. (2015). “Determinants of the lethality of climate-related disasters in the Caribbean Community (CARICOM): a cross-country analysis.” Scientific Reports, Vol. 5. doi: 10.1038/srep11972.
10.1038/srep11972
3
Becker, A., and Grunewald, U. (2003). “Flood risk in central Europe.” Science, Vol. 300, No. 5622, p. 1099. doi: 10.1126/science. 1083624.
10.1126/science
4
Bennie, J., Davies, T. W., Duffy, J. P., Inger, R., and Gaston, K. J. (2014). “Contrasting trends in light pollution across Europe based on satellite observed night time lights.” Scientific Reports, Vol. 4. doi: 10.1038/srep03789.
10.1038/srep03789
5
Ceola, S., Laio, F., and Montanari, A. (2014). “Satellite nighttime lights reveal increasing human exposure to floods worldwide.” Geophysical Research Letters, Vol. 41, No. 20, pp. 7184-7190. doi: 10.1002/2014GL061859.
10.1002/2014GL061859
6
Ceola, S., Laio, F., and Montanari, A. (2015). “Human-impacted waters: New perspectives from global high-resolution monitoring.” Water Resources Research, Vol. 51, No. 9, pp. 7064-7079. doi: 10.1002/2015WR017482.
10.1002/2015WR017482
7
Chand, T. K., Badarinath, K., Elvidge, C., and Tuttle, B. (2009). “Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data.” International Journal of Remote Sensing, Vol. 30, No. 3, pp. 647-661. doi: 10.1080/01431160802345685.
10.1080/01431160802345685
8
Chen, X., and Nordhaus, W. D. (2011). “Using luminosity data as a proxy for economic statistics.” Proceedings of the National Academy of Sciences, Vol. 108, No. 21, pp. 8589-8594. doi: 10.1073/pnas.1017031108.
10.1073/pnas.1017031108
9
Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., and Davis, E. R. (1997). “Mapping city lights with nighttime data from the DMSP operational linescan system.” Photogrammetric Engineering and Remote Sensing, Vol. 63, No. 6, pp. 727-734.
10
Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., and Bright, E. (2009). “A global poverty map derived from satellite data.” Computers and Geosciences, Vol. 35, No. 8, pp. 1652-1660. doi: 10.1016/j.cageo.2009.01.009.
10.1016/j.cageo.2009.01.009
11
EM-DAT (2016). Emergency Events Database (EM-DAT): The OFDA/ CRED International Disaster Database. Retrieved December 15, 2016. http://http://www.emdat.be.
12
Getirana, A. C., Bonnet, M. P., Rotunno Filho, O. C., and Mansur, W. J. (2009). “Improving hydrological information acquisition from DEM processing in floodplains.” Hydrological Processes, Vol. 23, No. 3, pp. 502-514. doi: 10.1002/hyp.7167.
10.1002/hyp.7167
13
Guha-Sapir, D., Hoyois, P., and Below, R. (2014). Annual Disaster Statistical Review 2011: the numbers and trends (2012). Centre for Research on the Epidemiology of Disasters (CRED), Institute of Health and Society (1RSS) and Université catholoque de Louvain: Louvain-la-neuve, Belgium.
14
Haddeland, I., Heinke, J., Biemans, H., Eisner, S., Flörke, M., Hanasaki, N., Konzmann, M., Ludwig, F., Masaki, Y., and Schewe, J. (2014). “Global water resources affected by human interventions and climate change.” Proceedings of the National Academy of Sciences, Vol. 111, No. 9, pp. 3251-3256. doi: 10.1073/pnas.1222475110.
10.1073/pnas.1222475110
15
Jongman, B., Ward, P. J., and Aerts, J. C. (2012). “Global exposure to river and coastal flooding: Long term trends and changes.” Global Environmental Change, Vol. 22, No. 4, pp. 823-835.
10.1016/j.gloenvcha.2012.07.004
16
Kummu, M., and Sarkkula, J. (2008). “Impact of the Mekong river flow alteration on the Tonle Sap flood pulse.” AMBIO: A Journal of the Human Environment, Vol. 37, No. 3, pp. 185-192. doi: 10.1579/0044-7447(2008)37[185:IOTMRF]2.0.CO;2.
10.1579/0044-7447(2008)37[185:IOTMRF]2.0.CO;2
17
Kummu, M., De Moel, H., Ward, P. J., and Varis, O. (2011). “How close do we live to water? A global analysis of population distance to freshwater bodies.” PLoS One, Vol. 6, No. 6, p. e20578. doi: 10.1371/journal.pone.0020578.
10.1371/journal.pone.0020578
18
Lehner, B., Verdin, K., and Jarvis, A. (2006). HydroSHEDS technical documentation, version 1.0. World Wildlife Fund US, Washington, DC, pp. 1-27.
19
Lehner, B., Verdin, K., and Jarvis, A. (2008). “New global hydrography derived from spaceborne elevation data.” Eos, Vol. 89, No. 10, pp. 93-94.
10.1029/2008EO100001
20
Li, L., Hong, Y., Wang, J., Adler, R. F., Policelli, F. S., Habib, S., Irwn, D., Korme, T., and Okello, L. (2009). “Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia basin, Lake Victoria, Africa.” Natural Hazards, Vol. 50, No. 1, pp. 109-123. doi: 10.1007/s11069-008-9324-5.
10.1007/s11069-008-9324-5
21
Mitchell, T., Guha-Sapir, D., Hall, J., Lovell, E., Muir-Wood, R., Norris, A., Scott, L., and Wallemacq, P. (2014). Setting, measuring and monitoring targets for reducing disaster risk. Recommendations for Post-2015 International Policy Frameworks. ODI.
22
MRC (2005). Overview of the Hydrology of the Mekong Basin.
23
MRC (2009). Annual Mekong Flood Report 2008. Mekong River Commission, Vientiane.
24
MRC (2010a). Annual Mekong Flood Report 2009. Mekong River Commission, Vientiane.
25
MRC (2010b). State of the Basin Report 2010. Mekong River Commission, Phnom Penh.
26
MRC (2011). Planning Atlas of the Lower Mekong River Basin. Mekong River Commission, Vientiane, Laos.
27
MRC (2014). Annual Mekong Flood Report 2011. Mekong River Commission, Vientiane, Laos.
28
Nicholls, R. J., Hanson, S., Herweijer, C., Patmore, N., Hallegatte, S., Corfee-Morlot, J., Château, J., and Muir-Wood, R. (2008). Ranking port cities with high exposure and vulnerability to climate extremes. doi: 10.1787/011766488208.
10.1787/011766488208
29
NOAA. (2016). Version 4 DMSP-OLS Nighttime Lights Time Series. Retrieved 30 January, 2016, http://nhttp://ngdc.noaa.gov/eog/ dmsp/downloadV4composites.html
30
Slater, L. J., Singer, M. B., and Kirchner, J. W. (2015). “Hydrologic versus geomorphic drivers of trends in flood hazard.” Geophysical Research Letters, Vol. 42, No. 2, pp. 370-376. doi: 10.1002/2014GL062482.
10.1002/2014GL062482
31
Vörösmarty, C. J., Green, P., Salisbury, J., and Lammers, R. B. (2000). “Global water resources: vulnerability from climate change and population growth.” Science, Vol. 289, No. 5477, pp. 284-288. doi: 10.1126/science.289.5477.284.
10.1126/science.289.5477.284
32
WMO (2014). Atlas of mortality and economic losses from weather, climate and water extremes (1970-2012) (Vol. WMO-No.1123): World Meteorological Organization.
33
Yilmaz, K. K., Adler, R. F., Tian, Y., Hong, Y., and Pierce, H. F. (2010). “Evaluation of a satellite-based global flood monitoring system.” International Journal of Remote Sensing, Vol. 31, No. 14, pp. 3763-3782. doi: 10.1080/01431161.2010.483489.
10.1080/01431161.2010.483489
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 51
  • No :7
  • Pages :565-574
  • Received Date : 2018-03-04
  • Revised Date : 2018-03-28
  • Accepted Date : 2018-03-28