جستجوی مقالات مرتبط با کلیدواژه "برنامه ریزی بیان ژن" در نشریات گروه "مهندسی دریا"

The formation and development of a breach in an embankment can dramatically affect the rate of an unplanned release of water from the reservoir and change the downstream area to a floodplain landscape. Furthermore, the failure of a landslide dam is considered one of the most serious natural hazards around the world, which has increased significantly due to the effects of climate change, frequent earthquakes, and population growth. Dam failure parameters, such as the width and height of the breach, are considered key variables for estimating the peak outflow discharge (Q_p). Determining the breach characteristics during the failure event has an important role in the estimation of flood hydrograph and the Q_p. Therefore, the failure characteristics, including average breach width (B_ave) in embankments and landslides are studied separately and outcomes are compared together. Additionally, new and unique relationships are developed based on the top width (B_t), the bottom width (B_b) of the breach, as well as the dam height (H_d), using artificial intelligence. To investigate the breach development process, laboratory data with granular materials obtained from the instantaneous failure of physical models have also been employed, and the time series variations of the dimensionless ratios of B_ave/B_t and B_ave/B_b are presented for a better evaluation of the erosion process. In this study, the dimensionless ratios obtained from the overtopping of the experimental models have also been compared with the historical records of the failure of existing prototypes derived from the breached embankments and landslides. Considering irregular compaction, lack of coherent structure, and the wide range of erosion in landslides, a new and accurate range of variation has been introduced using multiple regression for B_ave determination in both kinds of the dams in framework of the dimensionless ratios. The application of performance indices describes the high accuracy in the proposed relationships.