77,95 €
77,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
39 °P sammeln
77,95 €
77,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
39 °P sammeln
Als Download kaufen
77,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
39 °P sammeln
Jetzt verschenken
77,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
39 °P sammeln
  • Format: PDF

Flooding can have devastating impacts on people's livelihood, economy and the environment. An important instrument in flood management is floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain maps often involves flood inundation modeling. This typically requires precipitation and stream flow data, topographic information, building a hydraulic model and calibration of its parameters. Often however, floodplain maps are built on a single model…mehr

Produktbeschreibung
Flooding can have devastating impacts on people's livelihood, economy and the environment. An important instrument in flood management is floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain maps often involves flood inundation modeling. This typically requires precipitation and stream flow data, topographic information, building a hydraulic model and calibration of its parameters. Often however, floodplain maps are built on a single model outcome without an explicit consideration of all the sources of uncertainty in the modeling process.

The research presented in this thesis addresses the uncertainty in flood inundation modeling, which may arise from input data and hydraulic modeling approach. The study area is the Sungai Johor basin in Johor, Malaysia, an agriculture-dominated area. The present study analyses the modelling uncertainties arising from estimations of design flow, terrain data sets, geometric description in hydraulic models and different modeling approaches, and develops recommendations for practitioners. Explicit account for uncertainties and studying their impact in flood inundation mapping allow for more informed and effective decision making.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Anuar Md. Ali was born in Kota Tinggi, Johor (Malaysia) in 1973. In 1998, he obtained his Degree in Civil Engineering from Universiti Teknologi Malaysia. He later gained his Master of Science in Water Engineering from University Putra Malaysia in 2004. In 2010, he pursued his PhD study in UNESCO-IHE, Netherlands with research focused on uncertainty in flood inundation modelling.

He served as a design engineer with a consulting engineering firm from 1998 till 2004. Currently, he is an engineer with the Government of Malaysia attached to the Department of Irrigation and Drainage (DID).