Use of Big Data for Flood Assessment Through HEC-RAS Model: A Study of Purna River of Navsari
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1890-4_7
Reference21 articles.
1. Yusoff A, Din NM, Yussof S, Khan S (2015) Big Data analytics for flood information management in Kelantan, Malaysia. 20(20):311–316. https://doi.org/10.1109/SCORED.2015.7449346
2. Provost F, Fawcett T (2013) Data science and its relationship to big data and data-driven decision making. Big Data 1(1):51–59. https://doi.org/10.1089/big.2013.1508
3. Wamba SF, Akter S, Edwards A, Chopin G, Gnanzou D (2015) How “big data” can make big impact: findings from a systematic review and a longitudinal case study. Int J Prod Econ 165:234–246. https://doi.org/10.1016/j.ijpe.2014.12.031
4. Antwi-Boasiako BA (2017) It’s beyond my control: the effect of locus of control orientation on disaster insurance adoption. Int J Disaster Risk Reduction 22:297–303. https://doi.org/10.1016/j.ijdrr.2017.02.014
5. Luo T, Maddocks A, Iceland C, Ward P, Winsemius H (2015). World’s 15 countries with the most people exposed to river floods
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