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This revised text provides an updated account of principles and survey modelling in hydraulic, coastal and offshore engineering. Topics covered include discrete forms of conservation laws, numerical methods, the foundations of computational hydraulics, and applications of computational hydraulics.
This is a comprehensive work of reference for engineers dealing with the hydraulic problems that occur along coastlines and estuaries and in harbours. This branch of engineering has experienced rapid and profound changes since the 1960s due to the introduction of powerful computer modelling techniques. The book presents concise reviews of key topics on these techniques as well as the traditional civil engineering aspects of design and construction of coastal and maritime works. The powerful tools which are now available for computational and numerical modelling of hydraulic systems have to a considerable extent replaced physical models as the most appropriate means of investigating and selecting economic design options. This development has taken place alongside a greater understanding of the transport processes of granular and cohesive sediments, and an increasing concern with the environmental impact of engineering works. At the design stage, the engineer now commonly has to demonstrate the impact of the proposed works on the natural/watery environment. The chapters are presented under seven main headings: the physical environment; the scientific background; numerical tools and t
A major new reference book bringing together wide-ranging expert guidance on coastal engineering, including harbours and estuaries. It covers both traditional engineering topics and the fast developing areas of mathematical modelling and computer simulation.
It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.
It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.
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