Flood Hazard Assessment Using Weather Radar Data in Athens, Greece

Weather radar plays a critical role in flash flood forecasting, providing an effective and comprehensive guide for the identification of possible flood-prone areas. However, the utilization of radar precipitation data remains limited in current research and applications, particularly in addressing f...

Full description

Saved in:
Bibliographic Details
Main Authors: Apollon Bournas, Evangelos Baltas
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/1/72
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841549002197172224
author Apollon Bournas
Evangelos Baltas
author_facet Apollon Bournas
Evangelos Baltas
author_sort Apollon Bournas
collection DOAJ
description Weather radar plays a critical role in flash flood forecasting, providing an effective and comprehensive guide for the identification of possible flood-prone areas. However, the utilization of radar precipitation data remains limited in current research and applications, particularly in addressing flash flood hazards in complex environments such as in Athens, Greece. To address this gap, this study introduces the Gridded Flash Flood Guidance (GFFG) method, a short-term flash flood forecasting and warning technology based on radar precipitation and hydrological model coupling, and implements it in the region of Athens, Greece. The GFFG system improves upon the traditional flash flood guidance (FFG) concept by better integrating the weather radar dataset’s spatial and temporal flexibility, leading to increased resolution results. Results from six flood events underscore its ability to identify high-risk areas dynamically, with urban regions frequently flagged for flooding unless initial soil moisture conditions are low. Moreover, the sensitivity analysis of the system showed that the most crucial parameter apart from rainfall input is the soil moisture conditions, which define the amount of effective rainfall. This study highlights the significance of incorporating radar precipitation and real-time soil moisture assessments to improve flood prediction accuracy and provide valuable flood risk assessments.
format Article
id doaj-art-83d5e25f06a34998a344f4b87fe0aca0
institution Kabale University
issn 2072-4292
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj-art-83d5e25f06a34998a344f4b87fe0aca02025-01-10T13:20:08ZengMDPI AGRemote Sensing2072-42922024-12-011717210.3390/rs17010072Flood Hazard Assessment Using Weather Radar Data in Athens, GreeceApollon Bournas0Evangelos Baltas1Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, 5 Iroon Polytechniou, 157 80 Athens, GreeceDepartment of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, 5 Iroon Polytechniou, 157 80 Athens, GreeceWeather radar plays a critical role in flash flood forecasting, providing an effective and comprehensive guide for the identification of possible flood-prone areas. However, the utilization of radar precipitation data remains limited in current research and applications, particularly in addressing flash flood hazards in complex environments such as in Athens, Greece. To address this gap, this study introduces the Gridded Flash Flood Guidance (GFFG) method, a short-term flash flood forecasting and warning technology based on radar precipitation and hydrological model coupling, and implements it in the region of Athens, Greece. The GFFG system improves upon the traditional flash flood guidance (FFG) concept by better integrating the weather radar dataset’s spatial and temporal flexibility, leading to increased resolution results. Results from six flood events underscore its ability to identify high-risk areas dynamically, with urban regions frequently flagged for flooding unless initial soil moisture conditions are low. Moreover, the sensitivity analysis of the system showed that the most crucial parameter apart from rainfall input is the soil moisture conditions, which define the amount of effective rainfall. This study highlights the significance of incorporating radar precipitation and real-time soil moisture assessments to improve flood prediction accuracy and provide valuable flood risk assessments.https://www.mdpi.com/2072-4292/17/1/72flood hazardgridded flash flood guidancesoil moisture conditionsweather radarFFGAthens
spellingShingle Apollon Bournas
Evangelos Baltas
Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
Remote Sensing
flood hazard
gridded flash flood guidance
soil moisture conditions
weather radar
FFG
Athens
title Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
title_full Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
title_fullStr Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
title_full_unstemmed Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
title_short Flood Hazard Assessment Using Weather Radar Data in Athens, Greece
title_sort flood hazard assessment using weather radar data in athens greece
topic flood hazard
gridded flash flood guidance
soil moisture conditions
weather radar
FFG
Athens
url https://www.mdpi.com/2072-4292/17/1/72
work_keys_str_mv AT apollonbournas floodhazardassessmentusingweatherradardatainathensgreece
AT evangelosbaltas floodhazardassessmentusingweatherradardatainathensgreece