Improving flood management, prediction and monitoring : case studies in Asia /

Flood risk management requires a multi-disciplinary approach with experts from the fields of health, town planning, civil engineering, computer science and mathematical statistics. This volume presents chapters highlighting the methodologies and tools developed to improve flood management and flood...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Άλλοι συγγραφείς: Yusop, Zulkifli (Επιμελητής έκδοσης), Aris, Azmi (Επιμελητής έκδοσης), Alias, Nor Eliza (Επιμελητής έκδοσης), Annammala, Kogila Vani (Επιμελητής έκδοσης), Waugh, William L. (Επιμελητής έκδοσης)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Bingley, U.K. : Emerald Publishing Limited, 2018.
Σειρά:Community, environment and disaster risk management ; v. 20.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Prelims
  • Adaptation strategies for flood mitigation in Pahang River Basin
  • Application of interactive dam safety decision support system (INSPiRE) for flood emergency response plan (ERP) of Sultan Abu Bakar Dam Malaysia
  • Burden of health-related issues and community empowerment in Malaysias east coast llood
  • Derivation of region-specific curve number for an improved runoff prediction accuracy
  • Environmental forensics: a multi-catchment approach to detect origin of sediment featuring two pilot projects in Malaysia
  • Evaluating transportation modes and routes for disaster relief in Kelantan using geographical information system
  • Experimental investigation on lightweight composite slab for floating structures
  • Facts and trends of urban exposure to flash flood: a case of Kuala Lumpur City
  • Flood disaster management in Sungai Pahang Basin: case of Temerloh
  • Flood disaster prediction model based on artificial neural network: a case study of Kuala Kangsar, Perak
  • Flood monitoring system using mobile SCADA based on multiple environment indications
  • Kelantan daily rainfall datasets: persistence in nature
  • Performance of time-based and non-time-based clustering in the identification of river discharge patterns
  • Index.