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Strategies for testing the impact of natural flood risk management measures

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Strategies for testing the impact of natural flood risk management measures. / Hankin, Barry; Metcalfe, Peter William; Johnson, David; Chappell, Nicholas Arthur; Page, Trevor John Charles; Craigen, Iain; Lamb, Robert; Beven, Keith John.

Flood Risk Management. ed. / Theodore Hromadka; Prasada Rao. InTech, 2017. p. 1-39.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

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Hankin B, Metcalfe PW, Johnson D, Chappell NA, Page TJC, Craigen I et al. Strategies for testing the impact of natural flood risk management measures. In Hromadka T, Rao P, editors, Flood Risk Management. InTech. 2017. p. 1-39 https://doi.org/10.5772/intechopen.68677

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Bibtex

@inbook{6c4cd6f78bab4f548da27226cd6ea8eb,
title = "Strategies for testing the impact of natural flood risk management measures",
abstract = "Natural Flood Management (NFM) is an approach that seeks to work with natural processes to enhance the flood regulating capacity of a catchment, whilst delivering a wide range of ecosystem services, from pollution assimilation to habitat creation and carbon storage. This chapter describes a tiered approach to NFM, commencing with strategic modelling to identify a range of NFM opportunities (tree-planting, distributed runoff attenuation features, and soil structure improvements), and their potential benefits, before engagement with catchment partners, and prioritisation of areas for more detailed hydrological modelling and uncertainty analysis. NFM measures pose some fundamental challenges in modelling their contribution to flood risk management because they are often highly distributed, can influence multiple catchment processes, and evidence for their effectiveness at the large scale is uncertain. This demands we model the ‘upstream’in more detail so that we can assess the effectiveness of many small-scale changes at the large-scale. We demonstrate an approach to address these challenges employing the fast, high resolution, fully-distributed inundation model JFLOW, and visualisation of potential benefits in map form. These are used to engage catchment managers who can prioritise areas for potential deployment of NFM measures, where more detailed modellingmay be targeted. We then demonstrate a framework applying the semi-distributedDynamic TOPMODEL in which uncertainty plays an integral role in the decision-makingprocess.",
keywords = "natural flood risk management, uncertainty",
author = "Barry Hankin and Metcalfe, {Peter William} and David Johnson and Chappell, {Nicholas Arthur} and Page, {Trevor John Charles} and Iain Craigen and Robert Lamb and Beven, {Keith John}",
year = "2017",
month = "8",
day = "30",
doi = "10.5772/intechopen.68677",
language = "English",
isbn = "9789535134657",
pages = "1--39",
editor = "Hromadka, {Theodore } and Prasada Rao",
booktitle = "Flood Risk Management",
publisher = "InTech",

}

RIS

TY - CHAP

T1 - Strategies for testing the impact of natural flood risk management measures

AU - Hankin, Barry

AU - Metcalfe, Peter William

AU - Johnson, David

AU - Chappell, Nicholas Arthur

AU - Page, Trevor John Charles

AU - Craigen, Iain

AU - Lamb, Robert

AU - Beven, Keith John

PY - 2017/8/30

Y1 - 2017/8/30

N2 - Natural Flood Management (NFM) is an approach that seeks to work with natural processes to enhance the flood regulating capacity of a catchment, whilst delivering a wide range of ecosystem services, from pollution assimilation to habitat creation and carbon storage. This chapter describes a tiered approach to NFM, commencing with strategic modelling to identify a range of NFM opportunities (tree-planting, distributed runoff attenuation features, and soil structure improvements), and their potential benefits, before engagement with catchment partners, and prioritisation of areas for more detailed hydrological modelling and uncertainty analysis. NFM measures pose some fundamental challenges in modelling their contribution to flood risk management because they are often highly distributed, can influence multiple catchment processes, and evidence for their effectiveness at the large scale is uncertain. This demands we model the ‘upstream’in more detail so that we can assess the effectiveness of many small-scale changes at the large-scale. We demonstrate an approach to address these challenges employing the fast, high resolution, fully-distributed inundation model JFLOW, and visualisation of potential benefits in map form. These are used to engage catchment managers who can prioritise areas for potential deployment of NFM measures, where more detailed modellingmay be targeted. We then demonstrate a framework applying the semi-distributedDynamic TOPMODEL in which uncertainty plays an integral role in the decision-makingprocess.

AB - Natural Flood Management (NFM) is an approach that seeks to work with natural processes to enhance the flood regulating capacity of a catchment, whilst delivering a wide range of ecosystem services, from pollution assimilation to habitat creation and carbon storage. This chapter describes a tiered approach to NFM, commencing with strategic modelling to identify a range of NFM opportunities (tree-planting, distributed runoff attenuation features, and soil structure improvements), and their potential benefits, before engagement with catchment partners, and prioritisation of areas for more detailed hydrological modelling and uncertainty analysis. NFM measures pose some fundamental challenges in modelling their contribution to flood risk management because they are often highly distributed, can influence multiple catchment processes, and evidence for their effectiveness at the large scale is uncertain. This demands we model the ‘upstream’in more detail so that we can assess the effectiveness of many small-scale changes at the large-scale. We demonstrate an approach to address these challenges employing the fast, high resolution, fully-distributed inundation model JFLOW, and visualisation of potential benefits in map form. These are used to engage catchment managers who can prioritise areas for potential deployment of NFM measures, where more detailed modellingmay be targeted. We then demonstrate a framework applying the semi-distributedDynamic TOPMODEL in which uncertainty plays an integral role in the decision-makingprocess.

KW - natural flood risk management

KW - uncertainty

U2 - 10.5772/intechopen.68677

DO - 10.5772/intechopen.68677

M3 - Chapter (peer-reviewed)

SN - 9789535134657

SP - 1

EP - 39

BT - Flood Risk Management

A2 - Hromadka, Theodore

A2 - Rao, Prasada

PB - InTech

ER -