Engineering Hydrology of Arid and Semi-Arid Regions

Rainfall intensification in tropical semi-arid regions: the Sahelian case
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A model of rainfall—runoff relationships is an essential tool in the process of evaluation of water resources projects. It was found that the neural network model consistently gives superior predictions. Accordingly, the neural network method can be applied to various hydrological systems where other models may be inappropriate.

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Engineering Hydrology of Arid and Semi-Arid Regions by Mostafa M. Soliman (Hardback, ) | eBay

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Gad Ain-Shams University. Abstract A new GIS based rainfall runoff model is developed for engineering applications, achieving a highly automated watershed analysis process starting from watershed delineation and up to the runoff hydrograph calculation. The model can be classified as a semi-distributed time area model that adopts an improved grid based approach for calculation of watershed response.

The model deals with each grid cell in the digital elevation model as an independent hydrologic unit. The watershed response at its outlet is estimated by routing the response of each grid cell using a flow path response function that is defined for that cell. The routed responses of all watershed cells are then convoluted to produce the outflow hydrograph.

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Model advantages include accuracy improvements due to the incorporation of grid-based routing calculations both translation and attenuation , fully automated model structure, and fast ability to model many watersheds simultaneously. The combination of these advantages constitutes the novelty of the model that makes it very suitable for engineering design as well as for real-time applications.

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Soliman Hardback, Be the first to write a review. Use the link below to share a full-text version of this article with your friends and colleagues. J Appl. Building on this foundation, the book then delineates sediment yield in watersheds and streams and the design of hydraulic structures for protection and management of water resources systems. Keywords: citizen science, Water Resources Management, hydrological sensing, co-generation of knowledge, poly-centric governance, Communication, Ithaca , United States.

The model was tested using the data of the experimental watershed, Walnut Gulch, Arizona, USA, gauged by 88 rainfall stations and several discharge recording flumes.