1 National Center for Hydro-Meteorological Forecasting
*Corresponding author: firstname.lastname@example.org
Ma River is the biggest in the Central of Viet Nam with the length of 512 km and stretching over two latitudes and longitudes, therefore, the basin’s meteorological and hydrological regime is very complicated. The current situation of hydro-meteorological network in the basin is unevenly distributed with a high density in the downstream, sparse or not in the upstream particularly a part of basin belongs Lao PDR’s territory that are challenges for flood forecasting and hydrological research. The contents of this paper will summarize, synthesize main natural geographic characteristic, meteorological, hydrological features, main weather conditions, causes of flood formation as well as analysis of monthly rainfall distribution which based on the long-term historical data. All of these will be indispensable information for developing of flood forecast approach or further hydrological researching for the Ma river basin in the future. Besides, some comments and suggestion are proposed in order to partially surmount the spatial rainfall data gap in the Ma river basin.
Cite this paper
Nguyen Tien Kien (2020), Analysis of critical weather patterns caused severe flooding and spatial, timing rainfall distribution on the Ma River basin. Vietnam Journal of Hydrometeorology, 4, 53-66.
1. Chow, V.T., 1964. Handbook of applied hydrology: a compendium of water-resources technology. 1st ed. New York, USA: McGraw-Hill, Inc.
2. Dirks, K.N., Hay, J.E., Stow, C.D., 1998. High resolution studies of rainfall on Norfolk Island Part II: interpolation of rainfall data. Journal of Hydrology, 208:187-193.
3. Fotheringham, A.S., Brunsdon, C., Charlton, M., 2002. Geographically weighted regression: the analysis of spatially varying relationship. Wiley, New York.
4. Goovaerts, P., 1999. Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena, 34(3-4): 227-242.
5. Jeffrey, S.J., Carter, J.O., Moodie, K.B., Beswick, A.R., 2001. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software, 16(4): 309-330.
6. Lam, N.S.N, 1983. Spatial interpolation methods: a review. American Cartographer, 10(2): 129-149.
7. Lloyd, C.D., 2005. Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain. J. Hydrol., 308(1-4): 128-150.
8. Ly, S., Charles, C., Degré, A., 2013. Different methods for spatial interpolation of rainfall data for operational hydrology and hydrological modeling at watershed scale. A review. Biotechnology, Agronomy, Society and Environment, 17(2): 392-406.
9. Li, J., Heap, A.D., 2008. Spatial interpolation methods: a review for environmental scientists. Geoscience Australia, Record. Geoscience Australia, Canberra.
10. Masih I., Maskey S., Uhlenbrook S.& Smakhtin V., 2011. Assessing the impact of areal precipitation input on streamflow simulations using the SWAT model. Journal of the American Water Resources Association, 47(1): 179-195.
11. National Centre for Hydro-Meteorological Forecasting (NCHMF) 2000 to 2017. Annual Hydrological and Meteorological characteristic reports for year of 2000 - 2017. Viet Nam Meteorological and Hydrological Administration, Ha Noi, Viet Nam.
12. Nalder, I.A., Wein, R.W., 1998. Spatial interpolation of climatic normals: test of a new method in the Canadian boreal forest. Agricultural and Forest Meteorology, 92(4): 211-225.
13. Phung, N. X., et al., 2014. Hydrological report - Review of Ma river basin irrigation planning project. Institute of Water resources planning (IWRP), Ha Noi, Viet Nam.
14. Price, D.T., McKenney, D.W., Nalder, I.A., Hutchison, M.F., Kesteven, J.L., 2000.A comparison of two statistical methods for interpolation of Canadian monthly mean climate data. Agricultural and Forest Meteorology, 101(2-3): 81-94.
15. Report of Ma river flood forecasting projects2014 to2017. Division of hydrological forecast for Central, Highland and the South of Viet Nam, National Centre for Hydro-Meteorological Forecasting, Ha Noi, Viet Nam.
16. Ruelland, D., Ardoin-Bardin, S., Billen, G., Servat, E., 2008. Sensitivity of a lumped and semi-distributed hydrological model to several methods of rainfall interpolation on a large basin in West Africa. Journal of Hydrology, 361(1-2): 96-117.
17. Yeh, H.C., Chen, Y.C., Wei, C., Chen, R.H., 2011. Entropy and kriging approach to rainfall network design. Paddy and Water Environment, 9: 343-355.