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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
by Maurizio Mazzoleni
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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.
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You need to reset your browser to accept cookies or to ask you if you want to accept cookiesDescription:Northouse 2015 € 77.86 521 pages Subject categories The Environment > Water Management Science > Environmental Science Business > Industries ISBNs 9781138035904 9781351652568 Learn more…Subject CategoriesEngineering & TechnologyCivil, Environmental and Geotechnical EngineeringHydraulic EngineeringWater EngineeringEarth SciencesEarth SciencesHydrologySurface HydrologyBISAC Subject Codes/Headings: SCI026000 SCIENCE / Environmental ScienceTEC010030 TECHNOLOGY & ENGINEERING / Environmental / Water SupplyRecommended For YouCrafting Phenomenological ResearchCommunication in a Civil SocietyPEERS for Young Adults Thermal Power PlantsDynamics of Human Biocultural DiversityUsing Sources Effectively Close What is VitalSource ? Routledge.com eBooks are available through VitalSourceLearn More about VitalSource Bookshelf Close Close What does "CPD Certified" mean? CPD consists of any educational activity which helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standardsIf your computer's clock shows a date before 1 Jan 1970, the browser will automatically forget the cookiePhD fellows do scientific research, often with conclusions that directly influence their regionThis 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 managementHowever, 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 applicationsAllowing a website to create a cookie does not give that or any other site access to the rest of your computer, and only the site that created the cookie can read it.
Read More Patricia Kullberg: This Is How It Was (0 comment) Peter Brannen: The Ends of the World (0 comment) {1} ##LOC[OK]## {1} ##LOC[OK]## ##LOC[Cancel]## {1} ##LOC[OK]## ##LOC[Cancel]## Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic and Hydraulic Models by Maurizio Mazzoleni Comment on this title and you could win! Synopses & Reviews ISBN13: 9781138035904 ISBN10: 1138035904 All Product Details View Larger ImageView Larger Images 0.00 Trade Paperback Ships in 1 to 3 days Synopses & ReviewsSynopsisIn 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 sensorsYour browser asks you whether you want to accept cookies and you declinedTitleLinkPasswordSize (MB)Thank toInform AdminDel 1880232Book 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 applicationsTo download click on link in the Links Table belowTo fix this, set the correct time and date on your computerThe assimilation ofremotely sensed water level observations in hydrological and hydraulic modellinghas become more attractive due to their availability and spatially distributed nature.
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