The aim of this study was to develop hydrological models that can represent different geo-
climatic system, namely: humid, semi-humid and semi-arid systems, in China. Humid and …

Floods are one of the most common natural disasters in the world that affect all aspects of
life, including human beings, agriculture, industry, and education. Research for developing …

Climate change has had worst and extreme impacts all over the world. Due to rise in global
temperature some region faces drought and then a sudden bout of excessive rainfall …

Precise estimation of river flow in catchment areas has a significant role in managing water
resources and, particularly, making firm decisions during flood and drought crises. In recent …

Abstract Machine Learning has enabled conspicuous progress over the past decade on
various areas, such as image analysis, computer vision, natural language processing …

Accepted: 4 May 2020 Long short-term memory (LSTM) networks are state of the art
technique for time-series sequence learning. They are less commonly applied to the …

Evapotranspiration is a fundamental requirement in the planning and management of
irrigation projects. Methods of predicting evapotranspiration (ET) are numerous, but the …

Flood control is a difficult task for many countries since rainfall patterns are changing due to
global warming. As a result, a system that maximizes the benefits of secure intelligent flood …

Bangladesh demonstrates seasonal alterations with six seasons where natural calamities
cause tragic death of lives and severe hazardous in Bangladesh regularly and frequently. It …

This study presents support vector machine based model for forecasting the runoff-rainfall
events. A SVM based model is either implemented through Radial base or Gaussian based …