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All issues Volume 346 (2022) E3S Web Conf., 346 (2022) 01003 References
Open Access
Issue
E3S Web Conf.
Volume 346, 2022
ICOLD & CFBR Symposium - SHARING WATER: MULTI-PURPOSE OF RESERVOIRS AND INNOVATIONS
Article Number 01003
Number of page(s) 10
Section Thème 1. Enjeux territoriaux et multi-usages de l'eau / Theme 1. Territorial and Water Multi-Purpose Issues
DOI https://doi.org/10.1051/e3sconf/202234601003
Published online 23 May 2022
  1. D. Wilhite, The Enigma of Drought: Management and Policy Issues for the 1990s. Int. J. Environ. Stud., 36, 41-54 (1990) [CrossRef] [Google Scholar]
  2. M. Zelenáková, M. Stračárová, V. Harbul’áková, H. Hlavatá, & P. Purcz, Drought Assessment Based On The Number Of Days Without Precipitation. WIT Trans. Ecol. Environ., 197, 249-257 (2015) [CrossRef] [Google Scholar]
  3. M. Bellingeri, Z. Lu, D. Cassi, F. Scotognella, Analyses of the response of a complex weighted network to vertices removal strategies considering edges weight: The case of the Beijing urban road system. Mod. Phys. Lett. B, 32, 1850067 (2018) [CrossRef] [Google Scholar]
  4. A. Dwivedi; X. Yu, P. Sokolowski, Identifying vulnerable lines in a power network using complex network theory. Proc. IEEE Int. Symp. Ind. Electron., 18-23 (2009) [Google Scholar]
  5. W. Guo, Lag synchronization of complex networks via pinning control. Nonlinear Anal. Real World Appl, 12, 2579-2585 (2011) [CrossRef] [Google Scholar]
  6. W. Wang, Q. Liu, J. Liang, Y. Hu, T. Zhou, Coevolution spreading in complex networks. Phys. Rep. 820, 1-51 (2019) [CrossRef] [Google Scholar]
  7. X. Wang, Z. Wang, H. Shen, Dynamical analysis of a discrete-time SIS epidemic model on complex networks. Appl. Math. Lett. 94, 292-299 (2019) [CrossRef] [Google Scholar]
  8. L. Bettencourt, Complex Networks and Fundamental Urban Processes. SSRN Electronic Journal (2019) [Google Scholar]
  9. Y. Xu, F. Lu, K. Zhu, X. Song, Y. Dai, Exploring the Clustering Property and Network Structure of a Large-Scale Basin’s Precipitation Network: A Complex Network Approach. Water, 12(6), 1739 (2020) [CrossRef] [Google Scholar]
  10. N. Malik, B. Bookhagen, N. Marwan, J. Kurths. Analysis of spatial and temporal extreme monsoonal rainfall over South Asia using complex networks. Clim. Dyn. 39, 971-987 (2012) [CrossRef] [Google Scholar]
  11. N. Boers, A. Rheinwalt, B. Bookhagen, H.M. Barbosa, N. Marwan, J. Marengo, J. Kurths, The South American rainfall dipole: A complex network analysis of extreme events. Geophys. Res. Lett. 41, 7397-7405 (2014) [CrossRef] [Google Scholar]
  12. G. Konapala, A. Mishra, Review of complex networks application in hydroclimatic extremes with an implementation to characterize spatio-temporal drought propagation in continental USA. J. Hydrol. 555, 600-620 (2017) [CrossRef] [Google Scholar]
  13. U. Ozturk; N. Malik, K. Cheung, N. Marwan, J. Kurths, A network-based comparative study of extreme tropical and frontal storm rainfall over Japan. Clim. Dyn, 53, 521532 (2019) [Google Scholar]
  14. C. Bertini, C. Mineo, B. Moccia, Setting a methodology to detect main directions of synchronous heavy daily rainfall events for Lazio region using complex networks. In AIP Conference Proceedings; AIP Publishing LLC, New York, NY, USA. 2116, p. 210003 (2019) [CrossRef] [Google Scholar]
  15. Y. Zou, R.V. Donner, N. Marwan, J.F. Donges, J. Kurths, Complex network approaches to nonlinear time series analysis. Phys. Rep. 787, 1-97, (2019) [CrossRef] [Google Scholar]
  16. Z.H. Liu, J.H. Xu, W.H. Li, Complex network analysis of climate change in the Tarim River Basin, Northwest China. Sci. Cold Arid Reg. 476-487 (2017) [Google Scholar]
  17. B. Sivakumar, Woldemeskel, F.M. A network-based analysis of spatial rainfall connections. Environ. Model. Softw. 69, 55-62 (2015) [CrossRef] [Google Scholar]
  18. S.K. Jha, H. Zhao, F.M. Woldemeskel, B. Sivakumar, Network theory and spatial rainfall connections: An interpretation. J. Hydrol. 527, 13-19 (2015) [CrossRef] [Google Scholar]
  19. M.J. Halverson, S.W. Fleming, Complex network theory, streamflow, and hydrometric monitoring system design. Hydrol. Earth Syst. Sci. 19, 3301-3318 (2015) [CrossRef] [Google Scholar]
  20. F. Serinaldi, C.G. Kilsby. Irreversibility and complex network behavior of stream flow fluctuations. Phys. A Stat. Mech. Its Appl. 450, 585-600 (2016) [CrossRef] [Google Scholar]
  21. R. Q. Quiroga, T. Kreuz, P. Grassberger, Event synchronization: A simple and fast method to measure synchronicity and time delay patterns. Physical Review E, 66(4), 41904-41904 (2002) [CrossRef] [Google Scholar]
  22. N. Malik, B. Bookhagen, N. Marwan, J. Kurths, Analysis of spatial and temporal extreme monsoonal rainfall over South Asia using complex networks. Climate Dynamics, 39(3), 971-987 (2012) [CrossRef] [Google Scholar]
  23. G. Konapala, A. Mishra, Review of complex networks application in hydroclimatic extremes with an implementation to characterize spatio-temporal drought propagation in continental USA. Journal of Hydrology, 555, 600-620 (2017) [CrossRef] [Google Scholar]
  24. F. Ren, D. Cui, Z. Gong, Y. Wang, X. Zou, Y. Li, X. Wang, An Objective Identification Technique for Regional Extreme Events. Journal of Climate, 25(20), 7015-7027 (2012) [CrossRef] [Google Scholar]

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