All Issue

2021 Vol.41, Issue 3 Preview Page

Water Engineering

June 2021. pp. 209-217
Abstract
References
1
Anh, H. H., Hanh, T. M. D., Vi, N. T. T. and Shunbo, Y. (2018). "Examining the interaction of flood vulnerability determinants in Cambodia and Vietnam using partial least squares structural equation modeling." Water Policy, Vol. 20, No. 6, pp. 1256-1278. 10.2166/wp.2018.198
2
Barbero, R., Abatzoglou, J. T., Steel, E. A. and Larkin, N. K. (2014). "Modeling very large-fire occurences over the continental United States from weather and climate forcing." Environmental Research Letters, Vol. 9, No. 124009. 10.1088/1748-9326/9/12/124009
3
Bifulco, C., Rego, F., Dias, S. and Stagge, J. H. (2014). "Assessing the association of drought indicators to impacts: The results for areas burned by wildfires in Portugal." Advances in Forest Fire Research, pp. 1054-1060. 10.14195/978-989-26-0884-6_115
4
Clarke, H. and Evans, J. P. (2019). "Exploring the future change space for fire weather in southeast Australia." Theoretical and Applied Climatology, Vol. 136, pp. 513-527. 10.1007/s00704-018-2507-4
5
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, Lawrence Erlbaum, Mahwah, NJ.
6
Djimesah, I. E., Okine, A. N. D. and Mireku, K. K. (2018). "Influential factors in creating warning systems towards flood disaster management in Ghana: An analysis of 2007 Northern flood." International Journal of Disaster Risk Reduction, Vol. 28, pp. 318-326. 10.1016/j.ijdrr.2018.03.012
7
Fornell, C. and Cha, J. (1994). Partial least squares, In R. P. Bagozzi (Ed.), Advanced Methods of Marketing Research, Cambridge, pp. 52-78.
8
Fornell, C. G. and Larcker, D. F. (1981). "Evaluating structural equation models with unobservable variables and measurement error." Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50. 10.1177/002224378101800104
9
Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C. (1998). Multivariate analysis, Prentice Hall, Englewood Cliffs, NJ.
10
Hair, J. F., Hult, G. T. M., Ringle, C. M. and Sarstedt, M. (2014). A primer on partial least squares structural equation modeling, Sage, Thousand Oaks, CA.
11
Hair, J. F., Ringle, C. M. and Sarstedt, M. (2011). "PLS-SEM: Indeed a silver bullet." Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp. 139-152. 10.2753/MTP1069-6679190202
12
Korea Forest Service (2020). 2019 Statistical yearbook of forest fire (in Korean).
13
Lee, S. Y., Han, S. Y., Won, M. S., An, S. H. and Lee, M. B. (2004). "Developing of forest fire occurrence probability model by using the meteorological characteristic in Korea." Korean Journal of Agricultural and Forest Meteorology, Vol. 6, No. 4, pp. 242-249 (in Korean).
14
Marín, P. G., Julio, C. J., Dante Arturo, R.T. and Jose, V. N. D. (2017). "Drought and spatiotemporal variability of forest fires across Mexico." Chinese Geographical Science, Vol. 28, pp. 25-37. 10.1007/s11769-017-0928-0
15
McEvoy, D. J., Hobbins, M., Brown, T. J., VanderMolen, K., Wall, T., Huntington, J. L. and Svoboda, M. (2019). "Establishing relationships between drought indices and wildfire danger outputs: A test case for the California-Nevada drought early warning system." Climate, Vol. 7, No. 4. 10.3390/cli7040052
16
Nogueira, J. M., Rambal, S., Barbosa, J. P. R. A. D. and Mouillot, F. (2017). "Spatial pattern of the seasonal drought/burned area relationship across Brazilian biomes: Sensitivity to drought metrics and global remote-sensing fire products." Climate, Vol. 5, No. 2. 10.3390/cli5020042
17
Nunnally, J. (1978). Psychometric theory, McGraw-Hill, New York, USA.
18
Shipley, B. (2000). Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference, Cambridge University Press, Cambridge, UK. 10.1017/CBO9780511605949
19
Sung, M. K., Lim, G. H., Choi, E. H., Lee, Y. Y., Won, M. S. and Koo, K. S. (2010). "Climate change over Korea and its relation to the forest fire occurrence." Atmosphere, Vol. 20, No. 1, pp. 27-35.
20
Tenenhaus, M., Esposito Vinzi, V., Chatelin, Y. and Lauro, C. (2005). "PLS path modeling." Computational Statistics and Data Analysis, Vol. 48, No. 1, pp. 159-205. 10.1016/j.csda.2004.03.005
21
Urbieta, I. R., Zavala, G., Bedia, J., Gutiérrez, J. M., San Miguel- Ayanz, J., Camia, A., Keeley, J. E. and Moreno, J. M. (2015). "Fire activity as a function of fire-weather seasonal severity and antecedent climate across spatial scales in southern Europe and Pacific western USA." Environmental Research Letters, Vol. 10, No. 114013. 10.1088/1748-9326/10/11/114013
22
Won, M. S., Jang, K. C. and Yoon, S. H. (2016). "Developing Korean forest fire occurrence probability model reflecting climate change in the spring of 2000s." Korean Journal of Agricultural and Forest Meteorology, Vol. 18, No. 4, pp. 199-207 (in Korean). 10.5532/KJAFM.2016.18.4.199
23
Won, M. S., Koo, K. S. and Lee, M. B. (2006). "An analysis of forest fire occurrence hazards by changing temperature and humidity of ten-day intervals for 30 years in spring." Korean Journal of Agricultural and Forest Meteorology, Vol. 8, No. 4, pp. 250-259 (in Korean).
24
Won, M. S., Miah, D., Koo, K. S., Lee, M. B. and Shin, M. S. (2010). "Meteorological determinants of forest fire occurrence in the fall, South Korea." Journal of Korean Forest Society, Vol. 99, No. 2, pp. 163-171 (in Korean).
25
Zúñiga-Vásquez, J. M., Cisneros-González, D. and Pompa-García, M. (2019). "Drought regulates the burned forest areas in Mexico: the case of 2011, a record year." Gerocarto International, Vol. 34, No. 5, pp. 560-573. 10.1080/10106049.2017.1415986
Information
  • Publisher :Korean Society of Civil Engineers
  • Publisher(Ko) :대한토목학회
  • Journal Title :KSCE JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING RESEARCH
  • Journal Title(Ko) :대한토목학회 논문집
  • Volume : 41
  • No :3
  • Pages :209-217
  • Received Date :2020. 09. 11
  • Revised Date :2020. 11. 03
  • Accepted Date : 2020. 11. 27