Gør som tusindvis af andre bogelskere
Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.
Ved tilmelding accepterer du vores persondatapolitik.Du kan altid afmelde dig igen.
The flood caused by dam failures always lead to a great great amount of property damage and even loss of human and wild life. While multi-objective dam can provide a lot of benefit, its failure or improper operation may lead to unexpected loss.Hence the main aim of the paper is to develop mathematical models for simulating dam break hydraulics using the HEC-RAS software to simulate the dam break flood in complex real river floodplain. The simulated model has been used to predict and analyze the flood due to the failure of dam.
The rainfall runoff model is one of the most frequently used events in hydrology. It determines the runoff signal which leaves the watershed from the rainfall signal received by the basin. The present study develops an distributed approach to simulate the rainfall runoff process of a catchment. The catchment area has been divided in to the numbers of divisions equal to the numbers of rain gauge station. An lump model is also developed using average rainfall of the catchment. In case of lump model, average rainfall is calculated using thessian polygon method. In order to estimate runoff from rainfall events, loss rate or infiltration parameters for the basin have to be calculated, which is a basic input for further rainfall runoff modelling. The infiltration capacity of the basin depends on the land use and soil property. Therefore the estimation of infiltration parameters or curve number of the basin is made initially. An inverse model is formulated and solved for estimating the curve numbers for the lump and distributed models.
This textbook aims to develop a scientific knowledge base on spatial information technology to communicate the United Nations' Sustainable Development Goals (SDGs) among students, researchers, professionals and laymen.
Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.
Ved tilmelding accepterer du vores persondatapolitik.