The Influence of the Annual Number of Storms on the Derivation of the Flood Frequency Curve through Event-Based Simulation

Sordo‐Ward, Álvaro; Bianucci, Paola; Garrote, Luís; Granados, Alfredo

doi:10.3390/w8080335

Cited by 13 publications

(16 citation statements)

References 57 publications

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“…The difference in rainfall intensity values is generally greater for the most frequent events (i.e., 2-year, 5-year, 10-year), and it decreases as the return period increases, that is, the difference in rainfall intensity values is minimal for less frequent events (i.e., 25-year, 50-year, 100-year, 500-year). The selection of either PDS or AMS can have significant implications in the design or control of drainage and flood prevention infrastructures [64,65]. Accordingly, it is recommended to test both types of series (with different PDFs and IDF models) to select the most appropriate model for the management of extreme hydrological events.…”

Section: Considerations About the Methodologies Included In Webse Idfmentioning

confidence: 99%

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

et al. 2018

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Abstract:The lack of reliable continuous rainfall records can exacerbate the negative impact of extreme storm events. The inability to describe the continuous characteristics of rainfall from storm events increases the likelihood that the design of hydraulic structures will be inadequate. To mitigate extreme storm impacts and improve water governance at the catchment scale, it is vital to improve the availability of data and the array of tools used to model and forecast hydrological processes. In this paper, we describe and discuss the implementation of a web-based system for the estimation of intensity-duration-frequency (IDF) curves (WEBSE IDF ) in Chile. The web platform was constructed using records from 47 pluviographic gauges available in central Chile (30-40 • S), with at least 15 years of reliable records. IDF curves can be generated for durations ranging from 15 min to 24 h. In addition, the extrapolation of rainfall intensity from pluviograph to pluviometric gauges (i.e., 24-h rainfall accumulation) can be carried out using the storm index (S I ) method. IDF curves can also be generated for any spatial location within central Chile using the ordinary Kriging method. These procedures allow the generation of numerical and graphical displays of IDF curves, for any selected spatial location, and for any combination of probability distribution function (PDF), parameter estimation method, and type of IDF model. One of the major advantages of WEBSE IDF is the flexibility of its database, which can be easily modified and saved to generate IDF curves under user-defined scenarios, that is, changing climate conditions. The implementation and validation of WEBSE IDF serves as a decision support system, providing an important tool for improving the ability of the Chilean government to mitigate the impact of extreme hydrologic events in central Chile. The system is freely available for students, researchers, and other relevant professionals, to improve technical decisions of public and private institutions.

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Section: Considerations About the Methodologies Included In Webse Idfmentioning

confidence: 99%

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

et al. 2018

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“…The focus of this paper is, by using a fully physically-based DHM coupled with a stochastic weather generator in a continuous simulation, to provide a guideline to select the minimum necessary storm events that should be simulated in event-based approaches to obtain similar results to those obtained by continuous simulations in the derivation of flood frequency curves. Sordo-Ward et al [27] carried out a similar analysis in some watersheds in mainland Spain, by using a semi-distributed event-based model coupled with a continuous stochastic rainfall generator. They separated all the events within the generated series and analyzed the relationship between the storms and the maximum annual peak-flow in the Manzanares river basin (Spain) and two of its sub-basins.…”

Section: Introductionmentioning

confidence: 99%

“…Flores-Montoya et al [23] also carried a similar analysis using a distributed event-based model in two basins in France. However, in both studies, the lack of a continuous simulation required the estimation of the initial soil moisture (same curve number value in [27] and probabilistically in [23]). Within this paper, the continuous simulation with a fully physically-based DHM enables to account for the variations of the initial soil moisture.…”

Section: Introductionmentioning

confidence: 99%

Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach

Gabriel-Martín

Sordo‐Ward

Garrote

et al. 2019

Water

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This paper focuses on proposing the minimum number of storms necessary to derive the extreme flood hydrographs accurately through event-based modelling. To do so, we analyzed the results obtained by coupling a continuous stochastic weather generator (the Advanced WEather GENerator) with a continuous distributed physically-based hydrological model (the TIN-based real-time integrated basin simulator), and by simulating 5000 years of hourly flow at the basin outlet. We modelled the outflows in a basin named Peacheater Creek located in Oklahoma, USA. Afterwards, we separated the independent rainfall events within the 5000 years of hourly weather forcing, and obtained the flood event associated to each storm from the continuous hourly flow. We ranked all the rainfall events within each year according to three criteria: Total depth, maximum intensity, and total duration. Finally, we compared the flood events obtained from the continuous simulation to those considering the N highest storm events per year according to the three criteria and by focusing on four different aspects: Magnitude and recurrence of the maximum annual peak-flow and volume, seasonality of floods, dependence among maximum peak-flows and volumes, and bivariate return periods. The main results are: (a) Considering the five largest total depth storms per year generates the maximum annual peak-flow and volume, with a probability of 94% and 99%, respectively and, for return periods higher than 50 years, the probability increases to 99% in both cases; (b) considering the five largest total depth storms per year the seasonality of flood is reproduced with an error of less than 4% and (c) bivariate properties between the peak-flow and volume are preserved, with an error on the estimation of the copula fitted of less than 2%.

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“…Such topic of study was validated for extreme storms over large areas, showing important environmental implications (JENA et al, 2014). Moreover, the spatiotemporal impact of rainfall event features were widely evaluated in others phases of the hydrological cycle, such as: soil moisture (LOZANO-PARRA et al, 2016;ZHU et al, 2014), flood analysis (SORDO-WARD et al, 2016), infiltration estimation (DUNKERLEY, 2010;FANELLI;PRESTEGAARD;PALMER, 2017), flow generation and soil erosion (PASCHALIS et al, 2014;TODISCO, 2014), and sediments yield (MEDEIROS; ARAÚJO, 2014;RICKENMANN;BADOUX;HUNZINGER, 2016).…”

Section: Introductionmentioning

confidence: 99%

Sub-hourly rainfall patterns by hyetograph type under distinct climate conditions in Northeast of Brazil: a comparative inference of their key properties

Barbosa

Almeida

Coelho

et al. 2018

RBRH

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The lack of process-based classification procedures may lead to unrealistic hyetograph design due to complex oscillation of rainfall depths when assimilated at high temporal resolutions. Four consecutive years of sub-hourly rainfall data were assimilated in three study areas (Guaraíra, GEB, São João do Cariri, CEB, and Aiuaba, AEB) under distinct climates (very hot semi-arid and tropical wet). This study aimed to define rainfall events (for Minimum Inter-event Time, MIT, and Minimum Rainfall Depth, MRD, equal to 30 min and 1.016 mm, respectively), classify their hyetograph types (rectangular, R, unimodal with left-skewed, UL, right-skewed, UR, and centred peaks, UC, bimodal, B, and shapeless, SL), and compare their key rainfall properties (frequency, duration, depth, rate and peak). A rain pulse aggregation process allowed for reshaping SL-events for six different time spans varying from 2 to 30 min. The results revealed that the coastal area held predominantly R-events (64% events and 49% rainfall depth), in western semi-arid prevailed UL-events (57% events and 63% rainfall depth), whereas in eastern semi-arid mostly were R-events (61% events and 30% rainfall depth) similar to coastal area. It is concluded that each cloud formation type had important effects on hyetograph properties, differentiating them even within the same climate.

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The Influence of the Annual Number of Storms on the Derivation of the Flood Frequency Curve through Event-Based Simulation

Cited by 13 publications

References 57 publications

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile

Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach

Sub-hourly rainfall patterns by hyetograph type under distinct climate conditions in Northeast of Brazil: a comparative inference of their key properties

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