Predicting short term flood risks

Two models for estimating the short term risk of a flood exceeding some critical flow, which take account of the season and prevailing conditions have recently been published. The model proposed by Ettrick (1986) is based on conditional probability distributions, while Smith and Karr (1986) relate t...

Full description

Bibliographic Details
Main Author: Futter, Mark R.
Published: University of Newcastle Upon Tyne 1990
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315639
id ndltd-bl.uk-oai-ethos.bl.uk-315639
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-3156392015-03-19T06:26:08ZPredicting short term flood risksFutter, Mark R.1990Two models for estimating the short term risk of a flood exceeding some critical flow, which take account of the season and prevailing conditions have recently been published. The model proposed by Ettrick (1986) is based on conditional probability distributions, while Smith and Karr (1986) relate the rate of exceedence of the critical level of interest to relevant covariates. Both models are fitted to a 1000 year synthetic data set, to compare the results with empirically derived immediate and 30 day ahead risk estimates. After some modifications to the Smith and Karr model, both models demonstrate reasonable accuracy. A second comparison is then made using summer data from a U.K. catchment. The results demonstrate the sensitivity of the risk to the prevailing conditions at the beginning of the period of interest. The assumptions, data requirements and accuracy of the models are compared and discussed. The Ettrick model is chosen for further consideration, given that this model is based on a precipitation threshold, whilst the Smith and Karr model is based on a flow threshold, and the data record is longer for the former. The Ettrick model is then applied to two other U.K. catchments to give all year flood risk estimates. These cover the immediate, 7 day and 30 day ahead time periods. For the immediate flow risk estimates, the importance of snow on the catchment to the levels of flood risk is highlighted. In the case of the 7 day ahead estimates, the significance of the snow is reduced. Given this latter result, the 30 day ahead estimates are not conditional on snow, but still highlight a strong seasonality in the flood risk. Application of the Ettrick model is shown to imply the variable source area concept of runoff production. This may not be the dominant runoff production mechanism on certain catchments, and as such, restricts applicability of the Ettrick model.551.4890112Civil engineeringUniversity of Newcastle Upon Tynehttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315639Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 551.4890112
Civil engineering
spellingShingle 551.4890112
Civil engineering
Futter, Mark R.
Predicting short term flood risks
description Two models for estimating the short term risk of a flood exceeding some critical flow, which take account of the season and prevailing conditions have recently been published. The model proposed by Ettrick (1986) is based on conditional probability distributions, while Smith and Karr (1986) relate the rate of exceedence of the critical level of interest to relevant covariates. Both models are fitted to a 1000 year synthetic data set, to compare the results with empirically derived immediate and 30 day ahead risk estimates. After some modifications to the Smith and Karr model, both models demonstrate reasonable accuracy. A second comparison is then made using summer data from a U.K. catchment. The results demonstrate the sensitivity of the risk to the prevailing conditions at the beginning of the period of interest. The assumptions, data requirements and accuracy of the models are compared and discussed. The Ettrick model is chosen for further consideration, given that this model is based on a precipitation threshold, whilst the Smith and Karr model is based on a flow threshold, and the data record is longer for the former. The Ettrick model is then applied to two other U.K. catchments to give all year flood risk estimates. These cover the immediate, 7 day and 30 day ahead time periods. For the immediate flow risk estimates, the importance of snow on the catchment to the levels of flood risk is highlighted. In the case of the 7 day ahead estimates, the significance of the snow is reduced. Given this latter result, the 30 day ahead estimates are not conditional on snow, but still highlight a strong seasonality in the flood risk. Application of the Ettrick model is shown to imply the variable source area concept of runoff production. This may not be the dominant runoff production mechanism on certain catchments, and as such, restricts applicability of the Ettrick model.
author Futter, Mark R.
author_facet Futter, Mark R.
author_sort Futter, Mark R.
title Predicting short term flood risks
title_short Predicting short term flood risks
title_full Predicting short term flood risks
title_fullStr Predicting short term flood risks
title_full_unstemmed Predicting short term flood risks
title_sort predicting short term flood risks
publisher University of Newcastle Upon Tyne
publishDate 1990
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315639
work_keys_str_mv AT futtermarkr predictingshorttermfloodrisks
_version_ 1716749100069683200