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Journal articles on the topic 'Flood Frequency Curve'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Ibeje, Andy Obinna, and Ben N. Ekwueme. "Regional Flood Frequency Analysis using Dimensionless Index Flood Method." Civil Engineering Journal 6, no. 12 (2020): 2425–36. http://dx.doi.org/10.28991/cej-2020-03091627.

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Hydrologic designs require accurate estimation of quartiles of extreme floods. But in many developing regions, records of flood data are seldom available. A model framework using the dimensionless index flood for the transfer of Flood Frequency Curve (FFC) among stream gauging sites in a hydrologically homogeneous region is proposed. Key elements of the model framework include: (1) confirmation of the homogeneity of the region; (2) estimation of index flood-basin area relation; (3) derivation of the regional flood frequency curve (RFFC) and deduction of FFC of an ungauged catchment as a produc

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Li, Jianzhu, Kun Lei, Ting Zhang, et al. "A framework for event-based flood scaling analysis by hydrological modeling in data-scarce regions." Hydrology Research 51, no. 5 (2020): 1091–103. http://dx.doi.org/10.2166/nh.2020.042.

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Abstract Flood scaling theory is important for flood predictions in data-scarce regions but is often applied to quantile-based floods that have no physical mechanisms. In this study, we propose a framework for flood prediction in data-scarce regions by event-based flood scaling. After analyzing the factors controlling the flood scaling, flood events are first simulated by a hydrological model with different areally averaged rainfall events and curve number (CN) values as inputs, and the peak discharge of each subcatchment is obtained. Then, the flood scaling is analyzed according to the simula

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Aziz, Abdul Qayyum Asyraf Bin Abd, Mohd Baharudin Bin Ridzuan, Zawawi bin Daud, Zulfairul bin Zakariah, Mohd Fairuz bin Bachok, and Rahimi Mat. "Estimation of flood frequency using statistical method: riverbasin for Sungai Jijan Malaysia." IOP Conference Series: Earth and Environmental Science 1453, no. 1 (2025): 012053. https://doi.org/10.1088/1755-1315/1453/1/012053.

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Abstract Flood frequency analysis is a crucial mathematical approach for predicting the probability of a specific discharge in a river, particularly at peaks. Floods are recurring phenomena in river basins that cause tremendous flow. Flood frequency analysis involves fitting a river yearly peak flow to various probability distributions. Flood frequency analysis often involves three statistical methods, Double Mass Curve, Development Of IDF Curve, and Time of Concentration, Tc. Floods cause heavy loss of life and property in the flood seasons. The selection of best probability distribution meth

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Bomers, Anouk, Ralph M. J. Schielen, and Suzanne J. M. H. Hulscher. "Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach." Natural Hazards and Earth System Sciences 19, no. 8 (2019): 1895–908. http://dx.doi.org/10.5194/nhess-19-1895-2019.

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Abstract. Flood frequency curves are usually highly uncertain since they are based on short data sets of measured discharges or weather conditions. To decrease the confidence intervals, an efficient bootstrap method is developed in this study. The Rhine river delta is considered as a case study. We use a hydraulic model to normalize historic flood events for anthropogenic and natural changes in the river system. As a result, the data set of measured discharges could be extended by approximately 600 years. The study shows that historic flood events decrease the confidence interval of the flood

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Collalti, Dino, Nekeisha Spencer, and Eric Strobl. "Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica." Natural Hazards and Earth System Sciences 24, no. 3 (2024): 873–90. http://dx.doi.org/10.5194/nhess-24-873-2024.

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Abstract. Extreme rainfall events frequently cause hazardous floods in many parts of the world. With growing human exposure to floods, studying conditions that trigger floods is imperative. Flash floods, in particular, require well-defined models for the timely warning of the population at risk. Intensity–duration–frequency (IDF) curves are a common way to characterize rainfall and flood events. Here, the copula method is employed to model the dependence between the intensity and duration of rainfall events flexibly and separately from their respective marginal distribution. Information about

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Acreman, M. C., and A. Werritty. "Flood frequency estimation in Scotland using index floods and regional growth curves." Transactions of the Royal Society of Edinburgh: Earth Sciences 78, no. 4 (1987): 305–13. http://dx.doi.org/10.1017/s026359330001124x.

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ABSTRACTThe index flood/regional growth curve method is the most commonly used procedure for estimating a design flood at an ungauged site in the United Kingdom when only the instantaneous peak discharge is required. This paper summarises recent work in Scotland in which the authors have refined the equations for estimating the index flood from the physical characteristics of the drainage basin and have proposed new methods for classifying basins to increase the hydrological homogeneity of the regions on which the growth curves are based. A new algorithm for estimating regional growth curves i

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Kusumastuti, D. I., I. Struthers, M. Sivapalan, and D. A. Reynolds. "Threshold effects in catchment storm response and the occurrence and magnitude of flood events: implications for flood frequency." Hydrology and Earth System Sciences Discussions 3, no. 5 (2006): 3239–77. http://dx.doi.org/10.5194/hessd-3-3239-2006.

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Abstract. The aim of this paper is to illustrate the effects of selected catchment storage thresholds upon runoff behaviour, and specifically their impact upon flood frequency. The analysis is carried out with the use of a stochastic rainfall model, incorporating rainfall variability at intra-event, inter-event and seasonal timescales, as well as infrequent summer tropical cyclones, coupled with deterministic rainfall-runoff models that incorporate runoff generation by both saturation excess and subsurface stormflow mechanisms. Changing runoff generation mechanisms (i.e. from subsurface flow t

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Kusumastuti, D. I., I. Struthers, M. Sivapalan, and D. A. Reynolds. "Threshold effects in catchment storm response and the occurrence and magnitude of flood events: implications for flood frequency." Hydrology and Earth System Sciences 11, no. 4 (2007): 1515–28. http://dx.doi.org/10.5194/hess-11-1515-2007.

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Abstract. The aim of this paper is to illustrate the effects of selected catchment storage thresholds upon runoff behaviour, and specifically their impact upon flood frequency. The analysis is carried out with the use of a stochastic rainfall model, incorporating rainfall variability at intra-event, inter-event and seasonal timescales, as well as infrequent summer tropical cyclones, coupled with deterministic rainfall-runoff models that incorporate runoff generation by both saturation excess and subsurface stormflow mechanisms. Changing runoff generation mechanisms (i.e. from subsurface flow t

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9

Aprilia, R., E. Hidayah, and D. Junita K. "Frequency ratio application for mapping flood susceptibility in Welang Watershed, East Java." IOP Conference Series: Earth and Environmental Science 930, no. 1 (2021): 012095. http://dx.doi.org/10.1088/1755-1315/930/1/012095.

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Abstract Flood is one of the disaster threats downstream of Welang river, Pasuruan. A flood susceptibility map is needed to anticipate floods disasters. This research aimed to map flood Susceptibility in the Welang watershed using a Geographical Information System. In determining flood hazard, the Frequency Ratio (FR) approach was used. Flood locations were identified from the interpretation of field survey data as training data and model validation. The data were represented in a Digital Elevation Model (DEM) map, geological data, land use, river data, and Landsat Satellite Imagery and proces

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Muzik, I., and S. J. Pomeroy. "A geographic information system for prediction of design flood hydrographs." Canadian Journal of Civil Engineering 17, no. 6 (1990): 965–73. http://dx.doi.org/10.1139/l90-108.

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A geographic information system (GIS) supporting a flood hydrograph prediction software package is described. The hydrograph prediction method is based on the convolution of excess rainfall with a synthetic unit hydrograph, derived by the Soil Conservation Service runoff curve number and a regional dimensionless unit hydrograph method, respectively. The GIS uses a raster method to store the following data: land use and land cover, soil type, rainfall intensity–frequency–duration statistics, runoff curve numbers (CN), regional dimensionless unit hydrograph, and regional lag-time relationship. T

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Qiao, Changlu, Guotao Cai, Yanxue Liu, Junfeng Li, and Fulong Chen. "Study of the Flood Frequency Based on Normal Transformation in Arid Inland Region: A Case Study of Manas River in North-Western China." Mobile Information Systems 2022 (July 13, 2022): 1–17. http://dx.doi.org/10.1155/2022/5229348.

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Flood disaster is one of the natural disasters which cause the most serious economic losses, the most casualties, and the greatest social impact. Flood frequency analysis is very important for reducing flood disaster. In this paper, based on the flood data of Manas River and tools of Box–Cox and Johnson normal transformation, the nonparametric statistical method for flood frequency analysis is studied in order to analyze the adaptability between it and the rivers in arid region of north-western China. The calculation result of the fitness index is divided into two parts: high flood discharge a

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Radovanović, Sanja, Nenad Mihailović, Željko Radovanović, and Ljubiša Veljković. "Flood frequency analysis in the world." Tokovi osiguranja 39, no. 3 (2023): 367–88. http://dx.doi.org/10.5937/tokosig2303367r.

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The paper deals with the hypothesis that floods in the last few decades recorded an extreme increase in frequency. As analysis of the number of events is the first step in the flood risk modelling, an empirical study was conducted based on data from the natural disaster database of the Université Catholique de Louvain in Belgium. The Mann Kendall Trend Test is used to identify a tendency in a series (the number of floods from 1960 to 2022 in the world) by testing statistical hypotheses and a randomness check in its variations, i. e. determining whether the time series has a tendency. The test

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Li, Zhehao, Hongbo Zhang, Vijay Singh, Ruihong Yu, and Shuqi Zhang. "A Simple Early Warning System for Flash Floods in an Ungauged Catchment and Application in the Loess Plateau, China." Water 11, no. 3 (2019): 426. http://dx.doi.org/10.3390/w11030426.

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Under climate change, flash floods have become more frequent and severe, and are posing a danger to society, especially in the ungauged catchments. The objective of this paper, is to construct a simple and early warning system, serving for flash floods risk management in the ungauged catchments of the Loess Plateau in China, and offer a reference for flash flood warning in other areas in the world. Considering the absence of hydrological data in the ungauged catchments, the early warning system for flash floods is established by combining the regional or watershed isograms of hydrological para

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14

Kuczera, George. "Correlated Rating Curve Error in Flood Frequency Inference." Water Resources Research 32, no. 7 (1996): 2119–27. http://dx.doi.org/10.1029/96wr00804.

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15

Pawar, Uttam, Worawit Suppawimut, Nitin Muttil, and Upaka Rathnayake. "A GIS-Based Comparative Analysis of Frequency Ratio and Statistical Index Models for Flood Susceptibility Mapping in the Upper Krishna Basin, India." Water 14, no. 22 (2022): 3771. http://dx.doi.org/10.3390/w14223771.

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The Upper Krishna Basin in Maharashtra (India) is highly vulnerable to floods. This study aimed to generate a flood susceptibility map for the basin using Frequency Ratio and Statistical Index models of flood analysis. The flood hazard inventory map was created by 370 flood locations in the Upper Krishna Basin and plotted using ArcGIS 10.1 software. The 259 flood locations (70%) were selected randomly as training samples for analysis of the flood models, and for validation purposes, the remaining 111 flood locations (30%) were used. Flood susceptibility analyses were performed based on 12 floo

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Megahed, Hanaa A., Amira M. Abdo, Mohamed A. E. AbdelRahman, Antonio Scopa, and Mohammed N. Hegazy. "Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt." Applied Sciences 13, no. 16 (2023): 9445. http://dx.doi.org/10.3390/app13169445.

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The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country’s economy. This paper attempts to identify areas of flood vulnerability using a frequency ratio approach. The frequency ratio (FR) model was used to produce flood prediction maps for New Cairo City, Egypt. Using field data and remote sensing data, 143 spatial flooded point sites were mapped to build a flood inventory map. The primary driving criteria for flash floods were determined to be elevation, slope, aspect, Land Use Land C

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Struthers, I., and M. Sivapalan. "Theoretical investigation of process controls upon flood frequency: role of thresholds." Hydrology and Earth System Sciences Discussions 3, no. 5 (2006): 3279–319. http://dx.doi.org/10.5194/hessd-3-3279-2006.

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Abstract. Traditional statistical approaches to flood frequency inherently assume homogeneity and stationarity in the flood generation process. This study illustrates the impact of heterogeneity associated with threshold non-linearities in the storage-discharge relationship associated with the rainfall-runoff process upon flood frequency behaviour. For a simplified, non-threshold (i.e. homogeneous) scenario, flood frequency can be characterised in terms of rainfall frequency, the characteristic response time of the catchment, and storm intermittency, modified by the relative strength of evapor

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Struthers, I., and M. Sivapalan. "A conceptual investigation of process controls upon flood frequency: role of thresholds." Hydrology and Earth System Sciences 11, no. 4 (2007): 1405–16. http://dx.doi.org/10.5194/hess-11-1405-2007.

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Abstract. Traditional statistical approaches to flood frequency inherently assume homogeneity and stationarity in the flood generation process. This study illustrates the impact of heterogeneity associated with threshold non-linearities in the storage-discharge relationship associated with the rainfall-runoff process upon flood frequency behaviour. For a simplified, non-threshold (i.e. homogeneous) scenario, flood frequency can be characterised in terms of rainfall frequency, the characteristic response time of the catchment, and storm intermittency, modified by the relative strength of evapor

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19

Faria, Breno Nascimento, Antônio Sergio Ferreira Mendonça, and José Antonio Tosta Reis. "Regional Flood Frequency Analysis in the Doce River Basin and Coastal Regions in Espírito Santo State, Brazil – Evaluation of the Performance of L-Moments Approach." Revista de Gestão Social e Ambiental 18, no. 3 (2023): e04367. http://dx.doi.org/10.24857/rgsa.v18n3-046.

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Objective: To evaluate the performance of the Index-Flood methods using L-Moments when analyzing the regional flood frequency. Theoretical benchmark: The maximum stream flows estimation is relevant for projects and reduction of flood impacts. However, hydrologic regionalization methods are usually employed due to the absence of maximum stream flow data. In this context, it is relevant to understand the methods performance of regional analysis available. Method: Regional flood frequency analisys in the Doce River basin and in basins located predominantly in the state of Espírito Santo by the In

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Gottschalk, Lars. "Regional Exceedance Probabilities." Hydrology Research 20, no. 4-5 (1989): 201–14. http://dx.doi.org/10.2166/nh.1989.0016.

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Construction of a regional flood frequency curve is based, as a rule, on fitting this curve to representative quantiles. In a regional sample of floods the probability of extreme values corresponding to return periods, that exceed the record lengths, is much larger than that of individual series, used to determine the representative quantiles. The probabilities of exceedance of regional extremes can be calculated straightforward in case of independent data, applying the theory of order statistics. For regionally dependent data one can define an equivalent number of independent regional series

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Guse, B., T. Hofherr, and B. Merz. "Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function." Hydrology and Earth System Sciences Discussions 7, no. 4 (2010): 4253–90. http://dx.doi.org/10.5194/hessd-7-4253-2010.

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Abstract. A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For this purpose, large flood quantiles, i.e. pairs of a discharge and its corresponding recurrence interval, as well as an upper bound discharge, are combined within a mixed bounded distribution function. Large flood quantiles are derived using probabilistic regional envelope curves (PRECs) for all sites of a pooling group. These PREC flood quantiles are introduced into an at-site flood fre

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Guse, B., Th Hofherr, and B. Merz. "Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function." Hydrology and Earth System Sciences 14, no. 12 (2010): 2465–78. http://dx.doi.org/10.5194/hess-14-2465-2010.

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Abstract. A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For this purpose, large flood quantiles, i.e. pairs of a discharge and its corresponding recurrence interval, as well as an upper bound discharge, are combined within a mixed bounded distribution function. The large flood quantiles are derived using probabilistic regional envelope curves (PRECs) for all sites of a pooling group. These PREC flood quantiles are introduced into an at-site flood

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Chen, Xiaohong, Lijuan Zhang, C. Y. Xu, Jiaming Zhang, and Changqing Ye. "Hydrological Design of Nonstationary Flood Extremes and Durations in Wujiang River, South China: Changing Properties, Causes, and Impacts." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/527461.

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The flood-duration-frequency (QDF) analysis is performed using annual maximum streamflow series of 1–10 day durations observed at Pingshi and Lishi stations in southern China. The trends and change point of annual maximum flood flow and flood duration are also investigated by statistical tests. The results indicate that (1) the annual maximum flood flow only has a marginally increasing trend, whereas the flood duration exhibits a significant decreasing trend at the 0.10 significant level. The change point for the annual maximum flood flow series was found in 1991 and after which the mean maxim

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Grover, Patrick L., Donald H. Burn, and Juraj M. Cunderlik. "A comparison of index flood estimation procedures for ungauged catchments." Canadian Journal of Civil Engineering 29, no. 5 (2002): 734–41. http://dx.doi.org/10.1139/l02-065.

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Flood frequency analysis is used by water resources professionals to estimate the probability of exceedence associated with a flood of a given magnitude. The estimation of flood frequencies is important because they are used in the planning and design of hydraulic structures, in flood-plain management, and in reservoir operation. The index flood method is commonly used to develop a flood frequency curve that relates flood magnitude to flood rarity. This method involves scaling a dimensionless flood frequency curve by the index flood. The index flood is a middle-sized flood for which the mean o

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Hidayati, Nurul, SB Soeryamassoeka, and Henny Herawati. "RAINFALL ANALYSIS FOR CREATING INTENSITY-DURATION-FREQUENCY (IDF) CURVE OF PONTIANAK CITY." Jurnal Teknik Sipil 23, no. 4 (2023): 10. http://dx.doi.org/10.26418/jts.v23i4.66810.

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Pontianak is a lowland area prone to flooding if it rains with high rainfall intensity. Analysis of the planned flood discharge is needed to overcome the flood problem. The design flood discharge analysis can be calculated using the rational method, which requires rain intensity data in terms of duration and frequency, which can be described as an IDF curve.This research was conducted by calculating the average daily maximum rainfall after conducting consistency and homogeneity tests on the rainfall data used and determining the selected distribution based on the results of statistical paramet

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Kim, Dong Jun, Da Hae Yu, Jung Min Lee, and Jung Ho Lee. "Development of Quantitative Evaluation Method for Flood Reduction Performance of Drainage Pump Station." Journal of the Korean Society of Hazard Mitigation 25, no. 3 (2025): 191–98. https://doi.org/10.9798/kosham.2025.25.3.191.

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As the frequency and intensity of extreme rainfall events increase due to climate change, the efficient placement and operation of urban drainage facilities have become increasingly important to minimize flood damage. To achieve this, it is critical to quantitatively evaluate the extent to which drainage facilities contribute to flood reduction. In this study, a new methodology was proposed to quantify the flood reduction performance of drainage facilities using performance curves. The performance curves were defined based on the flood reduction capacity within a catchment area under various r

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Maulana, Bachtiar Ilham, Entin Hidayah, and Gusfan Halik. "Flood Susceptibility Mapping in Gending District by Comparison Frequency Ratio and Weight of Evidence for Mitigation Strategy." UKaRsT 7, no. 1 (2023): 17–32. http://dx.doi.org/10.30737/ukarst.v7i2.3999.

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Floods are natural disasters that occur all over the world. Gending District in Probolinggo Regency, East Java, is an area that often experiences floods and causes various losses. A flood susceptibility map needed to prepare appropriate mitigation actions. Choosing the right method will produce a more accurate flood susceptibility map. The research aims to make a flood susceptibility map in Gending District by comparing the Frequency Ratio (FR) and Weight of Evidence (WofE) methods and providing appropriate mitigation recommendations. Six data factors that cause flooding are used: slope, eleva

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Gorbachova, Liudmyla O., Viktoria S. Prykhodkina, and Borys F. Khrystiuk. "Spring flood frequency analysis in the Southern Buh River Basin, Ukraine." Journal of Geology, Geography and Geoecology 30, no. 2 (2021): 250–60. http://dx.doi.org/10.15421/112122.

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   The river floods are among the most dangerous natural disasters in the world. Each year, the spring floods cause the significant material damage in the different countries, including Ukraine. Knowledge of trends in such floods, as well as their probabilistic forecast, is of great scientific and practical importance. In last decades, the decreasing phase of cyclical fluctuations of the maximum runoff of spring floods has been observed on the plain rivers of Ukraine, including the Southern Bug River. In addition, there is an increase in air temperature. So, the actual task i

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Nowicka, Barbara. "Estimation of the Degree of Extremality of High-Water Flows in Selected Rivers in Poland in 1971–2006." Miscellanea Geographica 14, no. 1 (2010): 169–76. http://dx.doi.org/10.2478/mgrsd-2010-0015.

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Abstract The paper presents the results of estimation and comparison of risk of extreme floods on rivers of various hydrological regime. The hypothesis that extreme events occur with the same frequency in all rivers was rejected. The limit between extreme and common floods on 30 rivers from different geographical regions of Poland was defined on the basis of standardized flow-duration curve in 1971-2006. These analyses resulted in designing five curve groups. Four measures of flood magnitude have been proposed. The time distribution of extreme events during the last decades was estimated for t

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Costache, Romulus, Alina Barbulescu, and Quoc Pham. "Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments." Water 13, no. 6 (2021): 758. http://dx.doi.org/10.3390/w13060758.

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In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three ensemble models were used to determine the susceptibility to flash-floods. These models were generated by a combination of three statistical bivariate methods, namely frequency ratio (FR), weights of evidence (WOE), and statistical index (SI), with fuzzy analytical hierarchy process (FAHP). The result obtained from the application of the FAHP-WOE model had the best performance highlighted by an Area Under Curve—Receiver Operating Charact

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Kjeldsen, Thomas R. "Modelling the impact of urbanization on flood frequency relationships in the UK." Hydrology Research 41, no. 5 (2010): 391–405. http://dx.doi.org/10.2166/nh.2010.056.

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This paper investigates the effect of urbanization on the three key statistics used to establish flood frequency curves when combining the index flood method with the method of L-moments for estimating distribution parameters, i.e. the median annual maximum peak flow (the index flood), and the high-order L-moment ratios L-CV and L-SKEW. An existing procedure employing catchment descriptors was used to estimate the three statistics at ungauged sites in the UK. As-rural estimates of the three statistics were obtained in 200 urban catchments and compared to the corresponding values obtained from

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Ighile, Eseosa Halima, Hiroaki Shirakawa, and Hiroki Tanikawa. "Application of GIS and Machine Learning to Predict Flood Areas in Nigeria." Sustainability 14, no. 9 (2022): 5039. http://dx.doi.org/10.3390/su14095039.

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Floods are one of the most devastating forces in nature. Several approaches for identifying flood-prone locations have been developed to reduce the overall harmful impacts on humans and the environment. However, due to the increased frequency of flooding and related disasters, coupled with the continuous changes in natural and social-economic conditions, it has become vital to predict areas with the highest probability of flooding to ensure effective measures to mitigate impending disasters. This study predicted the flood susceptible areas in Nigeria based on historical flood records from 1985

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Khan, Muhammad Ibrahim. "Impact of Climate Change on Intensity-Duration-Frequency (IDF) Curves." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 463–65. http://dx.doi.org/10.22214/ijraset.2024.64207.

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Climate change is one of the primary causes of variation in global weather patterns, including those of rainfall frequency and intensity. Due to this, there is an urgent requirement for updated strategies regarding the design and management of urban infrastructures based on reliable IDF curve estimations. The review paper aims at assessing the impact of climate change on IDF curves, the methodological approach for updating IDF curves, and the consequences for urban flood management. This paper synthesizes recent literature to provide an overview of how climate-induced changes in precipitation

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Haddad, Khaled, and Ataur Rahman. "Regionalization of Storm Duration for Determining Derived Flood Frequency Curve: A Case Study for Victoria in Australia." Asian Journal of Water, Environment and Pollution 8, no. 3 (2011): 37–46. http://dx.doi.org/10.3233/ajw-2011-8_3_06.

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A holistic approach of design flood estimation such as the Monte Carlo simulation technique involves the simulation of thousands of storm and runoff events to determine a derived flood frequency curve. The implementation of such a technique requires the specification of the distributions of various input variables to the rainfall runoff model such as storm duration, storm intensity and initial and continuing losses. This paper presents a case study which focuses on the regionalization of the distribution of storm duration in the state of Victoria, Australia. This in particular compares the one

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Domeneghetti, A., S. Vorogushyn, A. Castellarin, B. Merz, and A. Brath. "Effects of rating-curve uncertainty on probabilistic flood mapping." Hydrology and Earth System Sciences Discussions 9, no. 8 (2012): 9809–45. http://dx.doi.org/10.5194/hessd-9-9809-2012.

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Abstract. Comprehensive flood risk assessment studies should quantify the global uncertainty in flood hazard estimation, for instance by mapping inundation extents together with their confidence intervals. This appears of particular importance in case of flood hazard assessments along dike-protected reaches where the possibility of occurrence of dike failures may considerably enhance the uncertainty. We present a methodology to derive probabilistic flood maps in dike-protected flood prone areas, where several sources of uncertainty are taken into account. In particular, this paper focuses on a

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Pusdekar, Prashant N., and Sanjay V. Dudul. "Performance measures of frequency ratio, weight of evidence and AHP models for flood risk assessment of Panchganga river basin (PRB), Kolhapur (India)." Disaster Advances 16, no. 7 (2023): 31–41. http://dx.doi.org/10.25303/1607da031041.

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Flood events are the most common and frequent natural disasters causing enormous loss to property and life worldwide. In this study, the Panchganga River Basin (PRB) was selected for flood susceptibility mapping using the frequency ratio (FR), weight of evidence (WoE) and Analytical Hierarchy Process (AHP) model with remote sensing and GIS based approach. For this, a flood inventory with 224 historic flood locations was prepared using Google Earth Engine. About 75% of flood locations were randomly selected for training and 25% for testing purposes. The flood susceptibility map prepared using F

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Sordo-Ward, Alvaro, Ivan Gabriel-Martín, Paola Bianucci, Giuseppe Mascaro, Enrique R. Vivoni, and Luis Garrote. "Stochastic Hybrid Event Based and Continuous Approach to Derive Flood Frequency Curve." Water 13, no. 14 (2021): 1931. http://dx.doi.org/10.3390/w13141931.

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This study proposes a methodology that combines the advantages of the event-based and continuous models, for the derivation of the maximum flow and maximum hydrograph volume frequency curves, by combining a stochastic continuous weather generator (the advanced weather generator, abbreviated as AWE-GEN) with a fully distributed physically based hydrological model (the TIN-based real-time integrated basin simulator, abbreviated as tRIBS) that runs both event-based and continuous simulation. The methodology is applied to Peacheater Creek, a 64 km2 basin located in Oklahoma, United States. First,

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Monjardin, Cris Edward, Clarence Cabundocan, Camille Ignacio, and Christian Jedd Tesnado. "Impact of Climate Change on the Frequency and Severity of Floods in the Pasig-Marikina River Basin." E3S Web of Conferences 117 (2019): 00005. http://dx.doi.org/10.1051/e3sconf/201911700005.

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This study assessed impacts of climate change on the frequency and severity of floods in the Pasig-Marikina River basin. Researchers used the historical data from PAG-ASA (Philippine Atmospheric, Geophysical and Astronomical Services Administration), specifically from Science Garden weather station. The historical data are coupled with a global climate model, the Hadley Center Model version 3 (HadCM3) to account for the natural variability of the climate system in the area. The observed data and the hydroclimatic data from HadCM3 was processed in Statistical Downscaling Model (SDSM) that resul

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Shamaima Wafa Qammar. "Impact assessment of climate change on rainfall Intensity Duration Frequency curve -Swat district, Khyber Pakhtunkhwa." World Journal of Advanced Engineering Technology and Sciences 13, no. 2 (2024): 383–89. https://doi.org/10.30574/wjaets.2024.13.2.0590.

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When planning and constructing water infrastructure, rainfall intensity-duration-frequency (IDF) curves are frequently utilized in design of culverts, storm drains, and flood barriers etc. However, increased greenhouse gas emissions are causing climate change, which influences the frequency, length, and severity of rainfall episodes. Reducing the risk of urban flooding requires adaptation to these changes. IDF curves are essential resources for catering these variables ensuring water infrastructure is economical and safe. Thus, the IDF curve in this study was developed incorporating climate pr

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Hadian, Sanaz, Hossein Afzalimehr, Negar Soltani, Ehsan Shahiri Tabarestani, Moses Karakouzian, and Mohammad Nazari-Sharabian. "Determining Flood Zonation Maps, Using New Ensembles of Multi-Criteria Decision-Making, Bivariate Statistics, and Artificial Neural Network." Water 14, no. 11 (2022): 1721. http://dx.doi.org/10.3390/w14111721.

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Golestan Province is one of the most vulnerable areas to catastrophic flood events in Iran. The flood severity in this region has grown dramatically during the last decades, demanding a major investigation. Accordingly, an authentic map providing detailed information on floods is required to reduce future flood disasters. Three ensemble models produced by the combination of Evaluation Based on Distance from Average Solution (EDAS) and Multilayer Perceptron Neural Network (MLP) with Frequency Ratio (FR), and Weights of Evidence (WOE) are used to quantify the map flood susceptibility in Golestan

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Wood, Eric F., and Charles S. Hebson. "On Hydrologic Similarity: 1. Derivation of the Dimensionless Flood Frequency Curve." Water Resources Research 22, no. 11 (1986): 1549–54. http://dx.doi.org/10.1029/wr022i011p01549.

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Laio, F., D. Ganora, P. Claps, and G. Galeati. "Spatially smooth regional estimation of the flood frequency curve (with uncertainty)." Journal of Hydrology 408, no. 1-2 (2011): 67–77. http://dx.doi.org/10.1016/j.jhydrol.2011.07.022.

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Morita, Masaru, and Yeou Koung Tung. "Uncertainty quantification of flood damage estimation for urban drainage risk management." Water Science and Technology 80, no. 3 (2019): 478–86. http://dx.doi.org/10.2166/wst.2019.297.

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Abstract This paper presents a method of quantifying the uncertainty associated with inundation damage data for an urban catchment when undertaking stormwater drainage design and management. Usually flood damage is estimated by multiplying the inundated asset value by the damage rate corresponding to the inundation depth. The uncertainty of the asset value and the damage rate is described by probability distributions estimated from an analysis of actual flood damage data from a national government survey. With the inclusion of uncertainty in the damage rate and asset value, the damage potentia

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Asghar Rostami, Ali, Mohammad Taghi Sattari, Halit Apaydin, and Adam Milewski. "Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain." Geosciences 15, no. 3 (2025): 110. https://doi.org/10.3390/geosciences15030110.

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Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twel

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Kusumastuti, Cilcia, Prasetio Sudjarwo, Marvin Christhie, and Timotius Krisna. "Intensity-Duration-Frequency (IDF) Curve and the Most Suitable Method to Determine Flood Peak Discharge in Upper Werba Sub-Watershed." Civil Engineering Dimension 21, no. 2 (2019): 70–75. http://dx.doi.org/10.9744/ced.21.2.70-75.

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Design flood is one of the important factors for flood risk assessment and water infrastructures planning and development in a certain location. There are several methods to estimate it, one method which has been commonly and widely use is using flood frequency analysis. This research aims to develop Intensity-Duration-Frequency (IDF) curves in Upper Werba Sub-Watershed, West Papua Province, Indonesia, to estimate design rainfall intensity. The design rainfall intensity is used to estimate peak of flood discharge using Rational Formula in the sub-watershed. Other methods, i.e. Soil Conservatio

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Yang, Long, James Smith, Mary Lynn Baeck, Efrat Morin, and David C. Goodrich. "Flash Flooding in Arid/Semiarid Regions: Dissecting the Hydrometeorology and Hydrology of the 19 August 2014 Storm and Flood Hydroclimatology in Arizona." Journal of Hydrometeorology 18, no. 12 (2017): 3103–23. http://dx.doi.org/10.1175/jhm-d-17-0089.1.

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The hydroclimatology, hydrometeorology, and hydrology of flash floods in the arid/semiarid southwestern United States are examined through empirical analyses of long-term, high-resolution rainfall and stream gauging observations, together with hydrological modeling analyses of the 19 August 2014 storm based on the Kinematic Runoff and Erosion Model (KINEROS2). The analyses presented here are centered on identifying the structure and evolution of flood-producing storms, as well as the interactions of space–time rainfall variability and basin characteristics in determining the upper-tail propert

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Nam, W., S. Kim, H. Kim, K. Joo, and J. H. Heo. "The evaluation of regional frequency analyses methods for nonstationary data." Proceedings of the International Association of Hydrological Sciences 371 (June 12, 2015): 95–98. http://dx.doi.org/10.5194/piahs-371-95-2015.

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Abstract. Regional frequency analysis is widely used to estimate more reliable quantiles of extreme hydro-meteorological events. The stationarity of data is required for its application. This assumption tends to be violated due to climate change. In this paper, four nonstationary index flood models were used to analyze the nonstationary regional data. Monte Carlo simulation was used to evaluate the performances of these models for the generalized extreme value distribution with linearly time varying location parameter and constant scale and shape parameters. As a results, it was found that the

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Jin, Shuang-yan, Wen-yong Gao, Si-wu Luo, and Ya-jun Gao. "Analysis on the Return Period of “7.26” Rainstorm and Flood in 2017 in the Wudinghe Basin." MATEC Web of Conferences 246 (2018): 01105. http://dx.doi.org/10.1051/matecconf/201824601105.

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The return period of "7.26" rainstorm flood in 2017 in Wudinghe basin is analyzed by the method of P-III distribution. The Lijiahe and Dingjiagou stations with long rainfall observation data in the rainstorm area are selected, and the frequency curve of the annual maximum 24 hours rainfall are established, and the recurrence period of rainfall stations in rainstorm area are estimated according to the parameters determined by the curve fitting method. The frequency curve of the annual maximum peak discharge of Baijiachuan hydrological stations and so on are established, and the return period ar

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Valent, Peter, and Roman Výleta. "Continuous Simulation of Catchment Runoff in Flood Frequency Analysis: A Case Study from Slovakia." Proceedings 7, no. 1 (2018): 16. http://dx.doi.org/10.3390/ecws-3-05828.

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Research questions relating to a reliable estimate of flood discharge have always interested both hydrologists and civil engineers. Over the decades, numerous methods have been proposed and used more or less successfully, all of them with known limitations restricting their use in a wide range of conditions and problems. In the past, the characteristics of hydrological extremes were mostly estimated by the methods of statistical analyses. As this type of method is not suitable to estimate design discharges of high return periods, and by default does not account for uncertainty, a new family of

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Basso, S., G. Botter, R. Merz, and A. Miniussi. "PHEV! The PHysically-based Extreme Value distribution of river flows." Environmental Research Letters 16, no. 12 (2021): 124065. http://dx.doi.org/10.1088/1748-9326/ac3d59.

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Abstract Magnitude and frequency are prominent features of river floods informing design of engineering structures, insurance premiums and adaptation strategies. Recent advances yielding a formal characterization of these variables from a joint description of soil moisture and daily runoff dynamics in river basins are here systematized to highlight their chief outcome: the PHysically-based Extreme Value (PHEV) distribution of river flows. This is a physically-based alternative to empirical estimates and purely statistical methods hitherto used to characterize extremes of hydro-meteorological v

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