Zobrazeno 1 - 10
of 741
pro vyhledávání: '"flood prediction"'
Autor:
Mohamed El-Sayed El-Mahdy, Farid Ali Mousa, Fawzia Ibraheem Morsy, Abdelmonaim Fakhry Kamel, Attia El-Tantawi
Publikováno v:
Alexandria Engineering Journal, Vol 97, Iss , Pp 127-141 (2024)
This study used Artificial Intelligence (AI) techniques as a modeling tool to estimate the risk of Nile flooding in the cities of southern Sudan. Climatic records, and precipitation, from stations along the area were used between 2010 and 2019. To te
Externí odkaz:
https://doaj.org/article/0b6e855224d34d7399194bdff9188879
Publikováno v:
Natural Hazards Research, Vol 4, Iss 2, Pp 194-220 (2024)
The global community is continuously working to minimize the impact of disasters through various actions, including earth surveying. For example, flood-prone areas must be identified appropriately, predicted, understood, and socialized. In that case,
Externí odkaz:
https://doaj.org/article/a05e7e8ed1d141a29b2a49279c7978b3
Publikováno v:
Water Science and Technology, Vol 89, Iss 11, Pp 2894-2906 (2024)
With the impact of global climate change and the urbanization process, the risk of urban flooding has increased rapidly, especially in developing countries. Real-time monitoring and prediction of flooding extent and drainage system are the foundation
Externí odkaz:
https://doaj.org/article/016f875b4a774c1496cdfde227f4cc4a
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 14681-14696 (2024)
Flood time series forecasting stands a critical challenge in precise predictive models and reliable error estimation methods. A novel approach utilizing a hybrid deep learning model for both point and interval flood prediction is presented, enhanced
Externí odkaz:
https://doaj.org/article/f8eff84a931d40fbb0883ce291ca6f1f
Publikováno v:
International Journal of Engineering and Technology Innovation (2024)
Previous studies show that the fuzzy-based approach predicts incoming floods better than machine learning (ML). However, with numerous observation points, difficulties in manually determining fuzzy rules and membership values increase. This research
Externí odkaz:
https://doaj.org/article/96c9ffe3d5f740bfa992f7b8bb59f2b5
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 319-336 (2024)
Flooding is one of the most frequent natural hazards and causes more economic loss than all the other natural hazards. Fast and accurate flood prediction has significance in preserving lives, minimizing economic damage, and reducing public health ris
Externí odkaz:
https://doaj.org/article/c79c5ee877b44818b01eebadadd1cfb5
Autor:
Shuayb Abdinour Osman, Jayanta Das
Publikováno v:
Geosystems and Geoenvironment, Vol 3, Iss 4, Pp 100312- (2024)
This research explores flood prediction in the Lower Damodar River Basin (LDRB) using a hybrid ensemble of a Naïve Bayes Tree (NBT) and five bivariate statistical models such as Evidential Belief Function (EBF), Index of Entropy (IOE), Frequency Rat
Externí odkaz:
https://doaj.org/article/8548b43fa93f4044b5f2b1e489e8ca84
Publikováno v:
Water Science, Vol 37, Iss 1, Pp 251-268 (2023)
ABSTRACTA strong correlation between the effect of climate change and the increase in flooding frequency and magnitude has been reported in Canada. Consequently, there is a crucial need to examine the effects of future climate change scenarios on flo
Externí odkaz:
https://doaj.org/article/fc1e572f7bde4e4bba5a5737d81855b8
Publikováno v:
Applied Water Science, Vol 13, Iss 12, Pp 1-19 (2023)
Abstract Forecasting precipitation is a crucial input to hydrological models and hydrological event management. Accurate forecasts minimize the impact of extreme events on communities and infrastructure by providing timely and reliable information. I
Externí odkaz:
https://doaj.org/article/ddb6cb55c6bf4b3db9105f12b1497fc3
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3635-3647 (2023)
Flood is India's most prevalent natural calamity, devastatingly affecting human lives, infrastructure, and agriculture. Predicting floods can help to mitigate the potential damage and conduct timely evacuation drives. This research proposes a deep-le
Externí odkaz:
https://doaj.org/article/23ff81c5105d4617bd923603be38fadc