Non-linear conceptual catchment modelling of isolated storm events

A simple four parameter conceptual model of catchment response has been developed with the object of modelling only isolated storm events and thus providing a useful tool for flood estimation. Most previous conceptual modelling has been concerned with fitting continuous long-term records in which fl...

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Main Author: Mandeville, A. N.
Published: Lancaster University 1975
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Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.464807
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spelling ndltd-bl.uk-oai-ethos.bl.uk-4648072017-12-24T15:12:08ZNon-linear conceptual catchment modelling of isolated storm eventsMandeville, A. N.1975A simple four parameter conceptual model of catchment response has been developed with the object of modelling only isolated storm events and thus providing a useful tool for flood estimation. Most previous conceptual modelling has been concerned with fitting continuous long-term records in which flood events are small in number. The isolated event model (IEM) is concerned only with such flood events. At its present stage of development, the isolated event model is more suited to steep upland gauged catchments. In essence, the model is fitted to such catchments by using an automatic computer optimisation technique to find those optimum values of the model parameters which enable the model to reproduce existing isolated events to an acceptable degree of accuracy. Design rainstorms may be routed through a fitted model to yield design flood hydrographs. After considerable development work on a sequence of model structures and strategies of optimisation, the IEM4 model has been found acceptable on the proving data used, consisting of 500 events from 21 catchments, and a two stage optimisation strategy has been adopted. A further version of the model, incorporating a number of improvements, was applied exhaustively to individual events from the River Ray catchment. An interesting idea that emerged was the concept of the augmented hydrograph. The latter half of this thesis is devoted to expanding this concept, incorporating evidence from other researchers, and making comparisons with the standard unit hydrograph method of analysis of isolated events.551.4890112Lancaster Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.464807Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 551.4890112
spellingShingle 551.4890112
Mandeville, A. N.
Non-linear conceptual catchment modelling of isolated storm events
description A simple four parameter conceptual model of catchment response has been developed with the object of modelling only isolated storm events and thus providing a useful tool for flood estimation. Most previous conceptual modelling has been concerned with fitting continuous long-term records in which flood events are small in number. The isolated event model (IEM) is concerned only with such flood events. At its present stage of development, the isolated event model is more suited to steep upland gauged catchments. In essence, the model is fitted to such catchments by using an automatic computer optimisation technique to find those optimum values of the model parameters which enable the model to reproduce existing isolated events to an acceptable degree of accuracy. Design rainstorms may be routed through a fitted model to yield design flood hydrographs. After considerable development work on a sequence of model structures and strategies of optimisation, the IEM4 model has been found acceptable on the proving data used, consisting of 500 events from 21 catchments, and a two stage optimisation strategy has been adopted. A further version of the model, incorporating a number of improvements, was applied exhaustively to individual events from the River Ray catchment. An interesting idea that emerged was the concept of the augmented hydrograph. The latter half of this thesis is devoted to expanding this concept, incorporating evidence from other researchers, and making comparisons with the standard unit hydrograph method of analysis of isolated events.
author Mandeville, A. N.
author_facet Mandeville, A. N.
author_sort Mandeville, A. N.
title Non-linear conceptual catchment modelling of isolated storm events
title_short Non-linear conceptual catchment modelling of isolated storm events
title_full Non-linear conceptual catchment modelling of isolated storm events
title_fullStr Non-linear conceptual catchment modelling of isolated storm events
title_full_unstemmed Non-linear conceptual catchment modelling of isolated storm events
title_sort non-linear conceptual catchment modelling of isolated storm events
publisher Lancaster University
publishDate 1975
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.464807
work_keys_str_mv AT mandevillean nonlinearconceptualcatchmentmodellingofisolatedstormevents
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