Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria

Modelling approach for the rainfall erosivity index in sub-humid urban areas in northern Algeria

Blog Article

This work presents an approach for storm water erosivity index modelling in the absence of measurement Impact of AERI Temperature and Moisture Retrievals on the Simulation of a Central Plains Severe Convective Weather Event in an urban area, in a sub-humid climate.In torrential storms, floods, loaded with sediments, obstruct storm water drainage.With the aim of estimating the amount of sediment that can be deposited on a stretch of road, adjacent to the study area, the erosivity index is determined from a count of 744 rain showers recorded over a period of 19 years.The Universal Soil Loss Equation (USLE) of Wischmeier and Smith is applied, where only the index of erosivity is calculated; it is based on the intensity of the rain starting the process of erosion in the basin.Functional relations are required between this factor and the explanatory variables.

A power type regression model is reached, making it possible to bring Dynamics of the abundance of cuckoo wasps (Hymenoptera, Chrysididae) in the conditions of the altitudinal-belt heterogeneity of the North Caucasus a decision-making aid in absences of measurements.