Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
Author :
Publisher : CRC Press
Total Pages : 240
Release :
ISBN-10 : 9781351652568
ISBN-13 : 1351652567
Rating : 4/5 (567 Downloads)

Book Synopsis Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models by : Maurizio Mazzoleni

Download or read book Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models written by Maurizio Mazzoleni and published by CRC Press. This book was released on 2017-03-16 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.


Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models Related Books

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
Language: en
Pages: 240
Authors: Maurizio Mazzoleni
Categories: Science
Type: BOOK - Published: 2017-03-16 - Publisher: CRC Press

DOWNLOAD EBOOK

In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observa
Advances on Testing and Experimentation in Civil Engineering
Language: en
Pages: 382
Authors: Carlos Chastre
Categories: Technology & Engineering
Type: BOOK - Published: 2022-08-17 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book presents the recent advances on testing and experimentation in civil engineering, especially in the branches of geotechnics, transportation, hydraulics
Applications of Data Assimilation and Inverse Problems in the Earth Sciences
Language: en
Pages: 369
Authors: Alik Ismail-Zadeh
Categories: Mathematics
Type: BOOK - Published: 2023-06-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A comprehensive reference on data assimilation and inverse problems, and their applications across a broad range of geophysical disciplines, ideal for researche
Wadi Flash Floods
Language: en
Pages: 559
Authors: Tetsuya Sumi
Categories: Nature
Type: BOOK - Published: 2021-10-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This open access book brings together research studies, developments, and application-related flash flood topics on wadi systems in arid regions. The major meri
Risk Modeling for Hazards and Disasters
Language: en
Pages: 342
Authors: Gero Michel
Categories: Science
Type: BOOK - Published: 2017-08-29 - Publisher: Elsevier

DOWNLOAD EBOOK

Risk Modeling for Hazards and Disasters covers all major aspects of catastrophe risk modeling, from hazards through to financial analysis. It explores relevant