Significant challenges to human health and life have arisen as a result of heavy rains.
Floods and other natural disasters that affect people all over the world every year are …

Rainfall plays a main role in managing the water level in the reservoir. The unpredictable
amount of rainfall due to the climate change can cause either overflow or dry in the reservoir …

The dynamic structure of climate is governed by changes in precipitation and temperature
and can be studied by time series analysis of these factors. This paper describes …

In this study, 60-year monthly rainfall data of Bangladesh were analysed to detect trends.
Modified Mann–Kendall, Spearman's rho tests and Sen's slope estimators were applied to …

This study performs flood hazard mapping and evaluates community flood coping strategies.
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …

This work developed models to identify optimal spatial distribution of emergency evacuation
centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood …

Research community has a growing interest in neural networks because of their practical
applications in many fields for accurate modeling and prediction of the complex behavior of …

Unexpected flood due to climate change has caused tremendous damage to both lives and
properties, especially in tropical areas. Nigeria Southeastern region has been devastated by …

Rainfall prediction is of vital importance in water resources management. Accurate long‐
term rainfall prediction remains an open and challenging problem. Machine learning …

Rainfall is one of the most important phenomena of the natural system. In Bangladesh,
agriculture largely depends on the intensity and variability of rainfall. Therefore, an early …