logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Modelling Uncertainty In Flood Forecasting Systems Shreeda Maskey

  • SKU: BELL-10204836
Modelling Uncertainty In Flood Forecasting Systems Shreeda Maskey
$ 31.00 $ 45.00 (-31%)

5.0

28 reviews

Modelling Uncertainty In Flood Forecasting Systems Shreeda Maskey instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 3.32 MB
Pages: 192
Author: Shreeda Maskey
ISBN: 9789058096944, 9058096947
Language: English
Year: 2004

Product desciption

Modelling Uncertainty In Flood Forecasting Systems Shreeda Maskey by Shreeda Maskey 9789058096944, 9058096947 instant download after payment.

Like all natural hazards, flooding is a complex and inherently uncertain phenomenon.  Despite advances in developing flood forecasting models and techniques, the uncertainty in forecasts remains unavoidable.  This uncertainty needs to be acknowledged, and uncertainty estimation in flood forecasting provides a rational basis for risk-based criteria. This book presents the development and applications of various methods based on probablity and fuzzy set theories for modelling uncertainty in flood forecasting systems. In particular, it presents a methodology for uncertainty assessment using disaggregation of time series inputs in the framework of both the Monte Carlo method and the Fuzzy Extention Principle.    It reports an improvement in the First Order Second Moment method, using second degree reconstruction, and derives qualitative scales for the interpretation of qualitative uncertainty.  Application is to flood forecasting models for the Klodzko catchment in POland and the Loire River in France.   Prospects for the hybrid techniques of uncertainty modelling and probability-possibility transformations are also explored and reported.

Related Products