Hec hms download

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Losses, total leaching, residual rainfall, and direct runoff [32,38]. The HEC-HMS software gives reliable data and is recommended above other programs when it comes to analyzing the features of torrents [39].We used a design storm with a 24 h duration, the SCS TYPE II distribution type, and the SCS technique to calculate the concentration-time, delay, and hydrograph curve number (Table 8) for the different recurrence periods of 2, 5, 10, 20, 50, and 100 years. The hydrograph of the torrential waters in the Khazir River drainage basin was analyzed, and the results showed that the volume of the discharge ranged between 29,680 and 2,229,200 m3 during the various return periods and that the maximum flow of the peak discharge was between 10.4 and 66.4 m3/s during the various return periods. The features of the Khazir River’s torrential flows are shown in Table 9 and Figure 8 and Figure 9 using the WMS and HEC-HMS software. 4.2. Simulation of Floods in the Khazir River BasinOver the two years 2013 and 2018, a flood simulation model for the Khazir River Basin was developed because the research region was more vulnerable to flooding due to high river flows at the time (Table 10). There was a strong correlation between the amount of precipitation that fell on the basin and the river discharge during the study period. A three-day rainstorm was responsible for the flooding in each case, as the confluence of wet days caused water runoff and flooding. The HEC-RAS software was used

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The volume of the river’s drainage basin floods ranged between 29,680 and 2,229,200 m3, and the maximum flow value ranged between 10.4 and 66.4 m3/sec during various reference periods. To analyze and model the flood risks of the Khazir River, the HEC-RAS model was combined with the HEC-GeoRAS extension in ArcGIS. The floods were the focus of two study periods, 2013 and 2018, and were based on the digital elevation model and river discharge during the floods. According to the classification map of the flood depths, the areas of flood risk varied from low to very low (80.31%), medium (16.03%), and high to very high (3.8%). The analysis of the results revealed that the villages closest to the river’s mouth were more affected by the floods than other villages further downstream. HEC-HMS and HEC-RAS have been shown to have a strong correlation in evaluating flood risks and reliably forecasting future floods in the study area. 1. IntroductionRivers have historically been a significant source of irrigation, hydropower, and drinking water. People who live near rivers, on the other hand, are frequently threatened by flooding because river courses are not always stable in terms of the speed of water flow and the amount of drainage caused by rain [1]. Floods are caused by excessive rainfall, which can take the form of nonstop rain that exceeds the carrying capacity of the riverbed, causing water to flow over the riverbanks and into neighboring areas [2,3,4]. Many people and their property are at risk, and