Interior Floodplain Flood-Damage Reduction Study

Pingel, Nathan; Ford, David T.

doi:10.1061/(asce)0733-9496(2004)130:2(123)

Cited by 7 publications

(3 citation statements)

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“…is sometimes alternately composed in terms of probability of nonexceedance as the so‐called total probability theorem. This approach is used by Dyhouse [1985] in calculating coincident flooding at the junction of rivers and by Pingel and Ford [2004] in estimating internal flooding in areas surrounded by levees.…”

Section: New Scs‐cn Methods Explainedmentioning

confidence: 99%

Improving runoff risk estimates: Formulating runoff as a bivariate process using the SCS curve number method

Shaw

Walter

2009

Water Resources Research

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The Soil Conservation Service curve number (SCS‐CN) method is widely used to predict storm runoff for hydraulic design purposes, such as sizing culverts and detention basins. As traditionally used, the probability of calculated runoff is equated to the probability of the causative rainfall event, an assumption that fails to account for the influence of variations in soil moisture on runoff generation. We propose a modification to the SCS‐CN method that explicitly incorporates rainfall return periods and the frequency of different soil moisture states to quantify storm runoff risks. Soil moisture status is assumed to be correlated to stream base flow. Fundamentally, this approach treats runoff as the outcome of a bivariate process instead of dictating a 1:1 relationship between causative rainfall and resulting runoff volumes. Using data from the Fall Creek watershed in western New York and the headwaters of the French Broad River in the mountains of North Carolina, we show that our modified SCS‐CN method improves frequency discharge predictions in medium‐sized watersheds in the eastern United States in comparison to the traditional application of the method.

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Section: New Scs‐cn Methods Explainedmentioning

confidence: 99%

Improving runoff risk estimates: Formulating runoff as a bivariate process using the SCS curve number method

Shaw

Walter

2009

Water Resources Research

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“…Second, the area under the AD curve, namely EAH, predicts the likelihood of inundated areas of mulapos occurring in any given year. This indicator proposed by Matella and Jagt () was considered analogous to expected annual damages (EAD) used in flood risk analysis (Pingel and Ford, ). As this indicator integrates all the events, including the extremes, it is equivalent to an average over the whole period.…”

Section: Methodsmentioning

confidence: 99%

Integrating Hydrological Modelling and Ecosystem Functioning for Environmental Flows in Climate Change Scenarios in the Zambezi River (Zambezi Region, Namibia)

Martínez‐Capel¹,

García-López²,

Beyer

2016

River Research & Apps

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The Zambezi‐Chobe wetlands in Namibia are of great international importance for trans‐boundary water management because of their remarkable ecological characteristics and the variety and magnitude of the ecosystem services provided. The main objective of this study is to establish the hydro‐ecological baseline for the application of environmental flow regimes (EFR). The specific objectives are: (i) the assessment of environmental flow components (EFC) in the current near‐natural hydrological conditions; (ii) the generation of future scenarios for climatic and socioeconomic changes; (iii) the estimation of the area–duration curves and estimated annual habitat during the inundation of the critical habitats for fisheries (mulapos), under the existing conditions and future scenarios; and (iv) to provide a framework for the future application of EFRs, based on hydrological and ecological processes. To make a sound analysis of the ecological implications, first we develop a conceptual framework of the linkages between the hydrological and biological processes concerning fish communities, because of the critical role of fisheries in the region. The EFCs in near‐natural hydrological conditions provide the basis for developing interim EFRs in the region, within the framework of an adaptive management of water resources. The future scenarios indicate a mitigation of the flow variability; and, in the worst‐case scenario, the reduction of the maximum flow and inundated area of the mulapos would result in a reduction of the estimated annual habitat of 22%. This means a reduction in the spawning habitats for quiet‐water species, in the food resources for fry and juvenile fish and a consequent reduction in fish stocks. Furthermore, the habitat loss during low events is similar and greater under both scenarios, at ca. 35%. Here we corroborate that the EFCs and their variability may become the building blocks of flow‐ecology models that lead to environmental flow recommendations, monitoring and research programmes and flow protection activities. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Shafiei and Bozorg Haddad (2005) determined an optimal set back of flood control options along the river based on the land use value. Pingel and Ford (2004) described how standard-of-practice models within a coincident-frequency analysis framework can be used to evaluate the flood damage potential with a variety of proposed damage-reduction measures. Olsen et al (2000) developed a dynamic approach for floodplain management considering future change in land use, river characteristics, economical development and climate change in a watershed.…”

Section: Introductionmentioning

confidence: 99%

Development of Optimization Schemes for Floodplain Management; A Case Study

Karamouz

Abesi

Moridi

et al. 2008

Water Resour Manage

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In this paper, two optimization models are presented. The first model is developed to determine economical combination of permanent and emergency flood control options and the second one is used to determine the optimal crop pattern along a river based on the assigned flood control options by the first optimization model. The optimal combination of flood protection options is determined to minimize flood damages and construction cost of flood control options along the river using the genetic algorithm (GA) optimization model. In order to consider the effects of flood control options on hydraulic characteristics of flow, two hydrological routing models for the reservoir and the river are coupled with the optimization model. Discharge-elevation and elevation-damage curves obtained based on separate hydraulic simulations of the river are used for flood damage calculations in the optimization model. The parameters of a hydrologic river routing model are also calibrated using the developed hydraulic model results. The proposed model is applied to the Kajoo river in the south-eastern part of Iran. The results demonstrate an economical integration of permanent and emergency flood control options along the river which include minimum expected value of damages related to floods with different return periods and construction cost of flood control options. Finally the resulting protection scheme is used for land use planning through identifying the optimal crop mix along the river. In this approach, the objective function of M. Karamouz et al. the optimization model is an economic function with a probabilistic framework to maximize the net benefit of agricultural activities. The study exhibits the importance of floodplain management and land use planning to achieve the development goals in the river basins.

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Interior Floodplain Flood-Damage Reduction Study

Cited by 7 publications

References 0 publications

Improving runoff risk estimates: Formulating runoff as a bivariate process using the SCS curve number method

Improving runoff risk estimates: Formulating runoff as a bivariate process using the SCS curve number method

Integrating Hydrological Modelling and Ecosystem Functioning for Environmental Flows in Climate Change Scenarios in the Zambezi River (Zambezi Region, Namibia)

Development of Optimization Schemes for Floodplain Management; A Case Study

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