Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping

作     者：Antonio Annis Fernando Nardi 

作者机构：Water Resources Research and Documentation Centre(WARREDOC)University for Foreigners of PerugiaPerugiaItaly Department of Civil and Environmental Engineering(DICEA)University of FlorenceFlorenceItaly Institute of Water and Environment(InWE)Florida International UniversityMiamiFLUSA 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2019年第22卷第4期

页      面：223-236,I0001页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 

主　　题：Crowdsourced data VGI data assimilation(DA) flood forecasting 2D hydraulic modelling 

摘      要：Crowdsourced data can effectively observe environmental and urban ecosystem *** use of data produced by untrained people into flood forecasting models may effectively allow Early Warning Systems(EWS)to better perform while support decision-making to reduce the fatalities and economic losses due to inundation *** this work,we develop a Data Assimilation(DA)method integrating Volunteered Geographic Information(VGI)and a 2D hydraulic model and we test its *** proposed framework seeks to extend the capabilities and performances of standard DA works,based on the use of traditional in situ sensors,by assimilating VGI while managing and taking into account the uncertainties related to the quality,and the location and timing of the entire set of observational *** November 2012 flood in the Italian Tiber River basin was selected as the case *** show improvements of the model in terms of uncertainty with a significant persistence of the model updating after the integration of the VGI,even in the case of use of few-selected observations gathered from social *** will encourage further research in the use of VGI for EWS considering the exponential increase of quality and quantity of smartphone and social media user worldwide.