Suspended sediment load (SSL) prediction study is critical to water resource management. This paper presents studies related the of SSL using machine learning (ML) algorithms over last 13 years. research gives a survey current that are used techniques predict on several rivers in different reign. Also, it aims find performance model SSL. done by making comparisons between time scales. Several m...

This paper presents the study of a mixed porous media composed of expanded perlite and a nonwoven needle-punched geotextile used to reduce the suspended solids load and concentration in urban runoff. Laboratory procedures were designed to quantify the suspended solids removal efficiency and variation in time of filtration rate. Different grain-size distributions of expanded perlite, diverse sus...