Reducing Inconsistencies in Point Observations of Maximum Flood Inundation Level

Earth Interactions

Brandon L.Parkes¹ 

关键词: Hydraulic modeling;    Model calibration;    Model validation;    Uncertainty;    Error correction;   

DOI  :  10.1175/2012EI000475.1

学科分类：地球科学(综合)

来源: American Geophysical Union

【 摘 要 】

AbstractFlood simulation models and hazard maps are only as good as the underlying data against which they are calibrated and tested. However, extreme flood events are by definition rare, so the observational data of flood inundation extent are limited in both quality and quantity. The relative importance of these observational uncertainties has increased now that computing power and accurate lidar scans make it possible to run high-resolution 2D models to simulate floods in urban areas. However, the value of these simulations is limited by the uncertainty in the true extent of the flood. This paper addresses that challenge by analyzing a point dataset of maximum water extent from a flood event on the River Eden at Carlisle, United Kingdom, in January 2005. The observation dataset is based on a collection of wrack and water marks from two postevent surveys. A smoothing algorithm for identifying, quantifying, and reducing localized inconsistencies in the dataset is proposed and evaluated showing positive r...

【 授权许可】

Unknown