[HTML][HTML] A critical review of real-time modelling of flood forecasting in urban drainage systems
There has been a strong tendency in recent decades to develop real-time urban flood
prediction models for early warning to the public due to a large number of worldwide urban …
prediction models for early warning to the public due to a large number of worldwide urban …
Hydraulic modelling of inland urban flooding: recent advances
E Mignot, B Dewals - Journal of hydrology, 2022 - Elsevier
This review provides a synthesis of advances in our understanding of urban flood processes
and their modelling over the last four years (2018–2021). Four aspects are covered …
and their modelling over the last four years (2018–2021). Four aspects are covered …
[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …
national governments. The destructive effects of floods are magnified in cities. Accurate …
[HTML][HTML] Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling
Urban flooding is a major problem for cities around the world, with significant socio-
economic consequences. Conventional real-time flood forecasting models rely on …
economic consequences. Conventional real-time flood forecasting models rely on …
Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling
HR Pourghasemi, A Gayen, R Lasaponara… - Environmental …, 2020 - Elsevier
This study assesses forest-fire susceptibility (FFS) in Fars Province, Iran using three
geographic information system (GIS)-based machine-learning algorithms: boosted …
geographic information system (GIS)-based machine-learning algorithms: boosted …
[HTML][HTML] Evaluation standards of intelligent technology based on financial alternative data
Z Lv, N Wang, X Ma, Y Sun, Y Meng, Y Tian - Journal of Innovation & …, 2022 - Elsevier
After the visions of Industry 5.0 and Society 5.0 were presented, a proliferation of artificial
intelligence technologies have been applied to the financial field because AI develops fast …
intelligence technologies have been applied to the financial field because AI develops fast …
[PDF][PDF] 特约文章: 水利大数据研究现状与展望
蒋云钟， 冶运涛， 赵红莉， 梁犁丽， 曹引， 顾晶晶 - 水力发电学报, 2020 - slfdxb.cn
水利管理对象数量大, 类型多, 空间分布广, 运行环境复杂, 交织作用因素众多,
对其进行全生命周期的精细化管控极其困难. 将以关联分析为特点的水利大数据技术和以因果 …
对其进行全生命周期的精细化管控极其困难. 将以关联分析为特点的水利大数据技术和以因果 …
A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations
Abstract Decision Support System (DSS) is an approach for smart management of different
man-made and natural phenomena such as flood disasters. In the present study, different …
man-made and natural phenomena such as flood disasters. In the present study, different …
[HTML][HTML] Urban flood-risk assessment: integration of decision-making and machine learning
Urban flood-risk mapping is an important tool for the mitigation of flooding in view of
continuing urbanization and climate change. However, many developing countries lack …
continuing urbanization and climate change. However, many developing countries lack …
Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …