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All issues Volume 246 (2018) MATEC Web Conf., 246 (2018) 01016 References
Open Access
Issue
MATEC Web Conf.
Volume 246, 2018
2018 International Symposium on Water System Operations (ISWSO 2018)
Article Number 01016
Number of page(s) 9
Section Main Session: Water System Operations
DOI https://doi.org/10.1051/matecconf/201824601016
Published online 07 December 2018
  1. Adamovic, M., Branger, F., Braud, I., Kralisch, S., 2016. Development of a data-driven semi-distributed hydrological model for regional scale catchments prone to Mediterranean flash floods. Journal of Hydrology, 541: 173-189. DOI:https://doi.org/10.1016/j.jhydrol.2016.03.032 [CrossRef] [Google Scholar]
  2. Ajami, H., Khan, U., Tuteja, N.K., Sharma, A., 2016. Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation. Environmental Modelling & Software, 85: 319-331. DOI:https://doi.org/10.1016/j.envsoft.2016.09.002 [CrossRef] [Google Scholar]
  3. Andrew, R., Guan, H., Batelaan, O., 2017. Estimation of GRACE water storage components by temporal decomposition. Journal of Hydrology, 552: 341-350. DOI:https://doi.org/10.1016/j.jhydrol.2017.06.016 [CrossRef] [Google Scholar]
  4. Baugh, C.A., Bates, P.D., Schumann, G., Trigg, M.A., 2013. SRTM vegetation removal and hydrodynamic modeling accuracy. Water Resources Research, 49(9): 5276-5289. DOI:10.1002/wrcr.20412 [CrossRef] [Google Scholar]
  5. de Paiva, R.C.D. et al., 2013. Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin. Water Resources Research, 49(3): 1226-1243. DOI:10.1002/wrcr.20067 [CrossRef] [Google Scholar]
  6. Hamilton, S.K., 2009a. Flood Plains. In: Likens, G.E. (Ed.), Encyclopedia of Inland Waters. Academic Press, Oxford, pp. 378-386. DOI:https://doi.org/10.1016/B978-012370626-3.000 52-1 [Google Scholar]
  7. Hamilton, S.K., 2009b. Wetlands of Large Rivers: Flood plains. In: Likens, G.E. (Ed.), Encyclopedia of Inland Waters. Academic Press, Oxford, pp. 607-610. DOI:https://doi.org/10.1016/B978-012370626-3.000 65-X [Google Scholar]
  8. Hardy, J. et al., 2016. A method for probabilistic flash flood forecasting. Journal of Hydrology, 541: 480-494. DOI:https://doi.org/10.1016/j.jhydrol.2016.04.007 [CrossRef] [Google Scholar]
  9. Kałuża, T. et al., 2018. Plant basket hydraulic structures (PBHS) as a new river restoration measure. Science of The Total Environment, 627: 245-255. DOI:https://doi.org/10.1016/j.scitotenv.2018.01.029 [CrossRef] [Google Scholar]
  10. Kim, N., Kawano, H., 1995. Simultaneous Solution for Flood Routing in Channel Networks, 121. DOI:10.1061/(ASCE)0733-9429(1995)121:10(744) [Google Scholar]
  11. Liu, L., Gao, C., Xuan, W., Xu, Y.-P., 2017. Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China. Journal of Hydrology, 554: 233-250. DOI:https://doi.org/10.1016/j.jhydrol.2017.08.032 [CrossRef] [Google Scholar]
  12. Lohani, A.K., Goel, N.K., Bhatia, K.K.S., 2014. Improving real time flood forecasting using fuzzy inference system. Journal of Hydrology, 509: 25-41. DOI:https://doi.org/10.1016/j.jhydrol.2013.11.021 [CrossRef] [Google Scholar]
  13. Munar, A.M. et al., 2018. Coupling large-scale hydrological and hydrodynamic modeling: Toward a better comprehension of watershed-shallow lake processes. Journal of Hydrology, 564: 424-441. DOI:https://doi.org/10.1016/j.jhydrol.2018.07.045 [CrossRef] [Google Scholar]
  14. Piper, G., 2014. Balancing flood risk and development in the flood plain: the Lower Thames Flood Risk Management Strategy. Ecohydrology & Hydrobiology, 14(1): 33-38. DOI:https://doi.org/10.1016/j.ecohyd.2014.02.004 [CrossRef] [Google Scholar]
  15. Radfar, M., Van Camp, M., Walraevens, K., 2013. Drought impacts on long-term hydrodynamic behavior of groundwater in the tertiary-quaternary aquifer system of Shahrekord Plain, Iran, 70. DOI:10.1007/s12665-012-2182-1 [Google Scholar]
  16. Salunkhe, S. et al., 2018. Flood Inundation Hazard Modelling Using CCHE2D Hydrodynamic Model and Geospatial Data for Embankment Breaching Scenario of Brahmaputra River in Assam, 46, 915-925 pp. DOI:10.1007/s12524-018-0749-3 [Google Scholar]
  17. W. Choi, G., Molinas, A., 1993. Simultaneous Solution Algorithm for Channel Network Modeling, 29, 321-328 pp. DOI:10.1029/92WR01949 [Google Scholar]
  18. Wu, Y. et al., 2018. Quantifying the unauthorized lake water withdrawals and their impacts on the water budget of eutrophic lake Dianchi, China. Journal of Hydrology, 565: 39-48. DOI:https://doi.org/10.1016/j.jhydrol.2018.08.017 [CrossRef] [Google Scholar]
  19. Zernin, M.V., Mishin, A.V., Rybkin, N.N., 2017. Estimation of Hydrodynamic Parameters of Connecting Rod Plain Bearings of Pumping Plant of Powered Mine Support. IOP Conference Series: Earth and Environmental Science, 87(8): 082058. [CrossRef] [Google Scholar]

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