Sign Up to like & get
recommendations!
0
Published in 2024 at "Acta Geophysica"
DOI: 10.1007/s11600-024-01332-4
Abstract: Real-time flood forecasting is crucial for early flood warnings. It relies on real-time hydrological and meteorological data. Satellite Precipitation Products offer real-time global precipitation estimates and have emerged as a suitable option for rainfall input…
read more here.
Keywords:
real time;
time;
machine;
precipitation ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-3737-6
Abstract: Development of a well-calibrated, distributed hydrological model for flood forecasting based on rainfall and snowmelt is quite challenging, especially when in situ data is limited or unavailable. This paper presents the study carried out to…
read more here.
Keywords:
flood forecasting;
scarcely gauged;
study;
model ... See more keywords
Photo from archive.org
Sign Up to like & get
recommendations!
1
Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-3752-7
Abstract: In the Mediterranean region, floods are causing extended damages to the population and infrastructures. In Morocco, only a few studies have been conducted to understand flood processes while the vulnerability to floods is high. The…
read more here.
Keywords:
flood forecasting;
approaches flood;
precipitation;
comparison modeling ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Cogent Engineering"
DOI: 10.1080/23311916.2024.2370900
Abstract: Abstract The proposed research aims to predict flood events in Amo Chhu river of Bhutan using machine learning and Internet of Things. The Amo Chhu River has been posing threat to the residents along river…
read more here.
Keywords:
amo chhu;
using machine;
flood forecasting;
machine learning ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252896
Abstract: Floods are one of the most common natural disasters that occur frequently causing massive damage to property, agriculture, economy and life. Flood prediction offers a huge challenge for researchers struggling to predict floods since long…
read more here.
Keywords:
flood;
federated learning;
model using;
forecasting model ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2024.354
Abstract: This study proposes a multi-task deep learning model for simultaneous prediction of time-series water levels and flood risk thresholds, aiming to enhance flood forecasting precision. Using AutoKeras, single-task and multi-task models were optimised to predict…
read more here.
Keywords:
deep learning;
multi task;
task deep;
flood forecasting ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Atmosphere"
DOI: 10.3390/atmos11090971
Abstract: The flood forecasting and warning system enable an advanced warning of flash floods and inundation depths for disseminating alarms in urban areas. Therefore, in this study, we developed an integrated flood forecasting and warning system…
read more here.
Keywords:
flood forecasting;
inundation;
warning system;
flood ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2021 at "Hydrology and Earth System Sciences Discussions"
DOI: 10.5194/hess-2021-177
Abstract: Abstract. Climate change is projected to increase flood risks in West Africa. The EU Horizon 2020 project FANFAR co-designed a pre-operational flood forecasting and alert system for West Africa in three lively workshops with 50–60…
read more here.
Keywords:
system;
flood forecasting;
hydrology;
west africa ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-29-1939-2025
Abstract: Abstract. Flood forecasting systems play a key role in mitigating socioeconomic damage caused by flood events. The majority of these systems rely on process-based hydrologic models (PBHMs), which are used to predict future runoff. Many…
read more here.
Keywords:
real time;
time;
long short;
flood forecasting ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2017-447
Abstract: Abstract. Hydro-meteorological predictions are important for water management plans, which include providing early flood warnings and preventing flood damages. This study evaluates the real-time precipitation of an atmospheric model at the point and catchment scales…
read more here.
Keywords:
real time;
flood forecasting;
time flood;
time ... See more keywords