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dc.contributor.authorŞen, Zekai
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:38:15Z
dc.date.available10.07.201910:49:14
dc.date.available2019-07-10T19:38:15Z
dc.date.issued2017en_US
dc.identifier.citationŞen, Z. (2017). Flood modeling, prediction and mitigation. Springer. https://dx.doi.org/10.1007/978-3-319-52356-9en_US
dc.identifier.isbn9783319523569
dc.identifier.isbn9783319523552en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12511/1563
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-319-52356-9
dc.description.abstractThis book draws on the author’s professional experience and expertise in humid and arid regions to familiarize readers with the basic scientific philosophy and methods regarding floods and their impacts on human life and property. The basis of each model, algorithm and calculation methodology is presented, together with logical and analytical strategies. Global warming and climate change trends are addressed, while flood risk assessments, vulnerability, preventive and mitigation procedures are explained systematically, helping readers apply them in a rational and effective manner. Lastly, real-world project applications are highlighted in each section, ensuring readers grasp not only the theoretical aspects but also their concrete implementation.en_US
dc.language.isoengen_US
dc.publisherSpringer International Publishingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFlash Floodsen_US
dc.subjectFlood Awarenessen_US
dc.subjectFlood Predictionen_US
dc.subjectFlood Preventionen_US
dc.subjectFlood Risk Assessmenten_US
dc.subjectSemi-Arid Region Floodsen_US
dc.titleFlood modeling, prediction and mitigationen_US
dc.typebooken_US
dc.relation.ispartofFlood Modeling, Prediction and Mitigationen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.authorid0000-0003-2754-5492en_US
dc.identifier.startpage1en_US
dc.identifier.endpage422en_US
dc.relation.publicationcategoryKitap - Uluslararasıen_US
dc.identifier.doi10.1007/978-3-319-52356-9en_US


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