Proper flood discharge forecasting is significant for the design of hydraulic structures, reducing the risk of failure, and minimizing downstream environmental damage. The objective of this study was to investigate the application of machine learning methods in Regional Flood Frequency Analysis (RFFA). To achieve this goal, 18 physiographic, climatic, lithological, and land use parameters were ...

Estimation of floods in a basin with various return periods is one of the effective management strategies for reducing flood damage. One of the methods for estimating flood discharge is to make synthetic unit hydrograph using the physical characteristics of the basin. The more accurate inputs of the model, the more validated results. Hence, in basins in which Instantaneous peak discharge is rec...

Nowdays, more than half of the worldchr('39')s population lives in urban areas, increasing land use change leads to an increase in impermeable land, which greatly reduces the possibility of rainwater infiltration into the land. In this study, Fooladshahr city of Isfahan province was selected as the study area to determine possible flooding points. Previous studies and experimental methods were ...

a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...

this study was an attempt to investigate the effect of using c-test passages on the reading comprehension and incidental vocabulary learning of iranian intermediate efl learners. the participants were 60 male efl learners at kish mehr institute in garmsar. in fact, there were two groups, an experimental group and a comparison group with 30 students in each. the participants were pretested throu...

Flood pron areas of rivers are generally hazardous. Regionalizing these hazardous areas in terms of the degree of hazard they produce is very important for regional flood management, insurance companies and land users. Therefore, this research has tried to regionalize the potential hazard of the flood prone areas of the Morghak River using HEC-GeoRAS model as an example for all flood plains...