Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
IHE Delft PhD Thesis Series

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

    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

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.

GENRE
Wissenschaft und Natur
ERSCHIENEN
2017
16. März
SPRACHE
EN
Englisch
UMFANG
240
Seiten
VERLAG
CRC Press
GRÖSSE
6,4
 MB

Mehr ähnliche Bücher

Floods in a Changing Climate Floods in a Changing Climate
2012
Hydrological Modelling and the Water Cycle Hydrological Modelling and the Water Cycle
2008
Modelling Dynamics in Processes and Systems Modelling Dynamics in Processes and Systems
2008
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications
2009
Machine Learning and Data Mining Approaches to Climate Science Machine Learning and Data Mining Approaches to Climate Science
2015
Land Surface Observation, Modeling and Data Assimilation Land Surface Observation, Modeling and Data Assimilation
2013

Andere Bücher in dieser Reihe

Multiple Objective Treatment Aspects of Bank Filtration Multiple Objective Treatment Aspects of Bank Filtration
2023
Grasping the Water, Energy, and Food Security Nexus in the Local Context Grasping the Water, Energy, and Food Security Nexus in the Local Context
2021
Adaptive Disaster Risk Assessment Adaptive Disaster Risk Assessment
2021
Establishing the Environmental Flow Regime for the Middle Zambezi River Establishing the Environmental Flow Regime for the Middle Zambezi River
2021
Simultaneous Sulfate Reduction and Metal Precipitation in an Inverse Fluidized Bed Reactor Simultaneous Sulfate Reduction and Metal Precipitation in an Inverse Fluidized Bed Reactor
2022
Bioreduction of Selenite and Tellurite by Phanerochaete Chrysosporium Bioreduction of Selenite and Tellurite by Phanerochaete Chrysosporium
2021