Relevant bibliographies by topics / Flood frequency analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flood frequency analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "Flood frequency analysis"

1

Campbell, Katherine. "Flood Frequency Analysis." Technometrics 43, no. 2 (May 2001): 238. http://dx.doi.org/10.1198/tech.2001.s592.

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Kimber, Alan C. "Flood Frequency Analysis." Journal of the American Statistical Association 96, no. 454 (June 2001): 780–81. http://dx.doi.org/10.1198/jasa.2001.s402.

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Stedigner, Jery R., and Stephen J. Burges. "Flood frequency analysis." Eos, Transactions American Geophysical Union 66, no. 47 (1985): 1179. http://dx.doi.org/10.1029/eo066i047p01179-01.

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Baidya, S., Ajay Singh, and Sudhindra N. Panda. "Flood frequency analysis." Natural Hazards 100, no. 3 (January 6, 2020): 1137–58. http://dx.doi.org/10.1007/s11069-019-03853-4.

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Ibeje, Andy Obinna, and Ben N. Ekwueme. "Regional Flood Frequency Analysis using Dimensionless Index Flood Method." Civil Engineering Journal 6, no. 12 (December 1, 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 product of index flood and dimensionless RFFC. As an application, 1983 to 2004 annual extreme flood from six selected gauging sites located in Anambra-Imo River basin of southeast Nigeria, were used to demonstrate that the developed index flood model: , overestimated flood quartiles in an ungauged site of the basin. It is recommended that, for wider application, the model results can be improved by the availability and use of over 100 years length of flood data spatially distributed at critical locations of the watershed. Doi: 10.28991/cej-2020-03091627 Full Text: PDF
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Kidson, R., and K. S. Richards. "Flood frequency analysis: assumptions and alternatives." Progress in Physical Geography: Earth and Environment 29, no. 3 (September 2005): 392–410. http://dx.doi.org/10.1191/0309133305pp454ra.

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Flood frequency analysis (FFA) is a form of risk analysis, yet a risk analysis of the activity of FFA itself is rarely undertaken. The recent literature of FFA has been characterized by: (1) a proliferation of mathematical models, lacking theoretical hydrologic justification, but used to extrapolate the return periods of floods beyond the gauged record; (2) official mandating of particular models, which has resulted in (3) research focused on increasingly reductionist and statistically sophisticated procedures for parameter fitting to these models from the limited gauged data. These trends have evolved to such a refined state that FFA may be approaching the ‘limits of splitting’; at the very least, the emphasis was shifted early in the history of FFA from predicting and explaining extreme flood events to the more soluble issue of fitting distributions to the bulk of the data. However, recent evidence indicates that the very modelling basis itself may be ripe for revision. Self-similar (power law) models are not only analytically simpler than conventional models, but they also offer a plausible theoretical basis in complexity theory. Of most significance, however, is the empirical evidence for self-similarity in flood behaviour. Self-similarity is difficult to detect in gauged records of limited length; however, one positive aspect of the application of statistics to FFA has been the refinement of techniques for the incorporation of historical and palaeoflood data. It is these data types, even over modest timescales such as 100 years, which offer the best promise for testing alternative models of extreme flood behaviour across a wider range of basins. At stake is the accurate estimation of flood magnitude, used widely for design purposes: the power law model produces far more conservative estimates of return period of large floods compared to conventional models, and deserves closer study.
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Leščešen, Igor, and Dragan Dolinaj. "Regional Flood Frequency Analysis of the Pannonian Basin." Water 11, no. 2 (January 23, 2019): 193. http://dx.doi.org/10.3390/w11020193.

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In this paper, we performed Regional Flood Frequency Analysis (RFFA) by using L-moments and Annual Maximum Series (AMS) methods. Time series of volumes and duration of floods were derived using the threshold level method for 22 hydrological stations in the Pannonian Basin. For flood definition, a threshold set at Q10 was used. The aim of this research is to derive best-fit regional distribution for the four major rivers within the Pannonian Basin and to provide reliable prediction of flood quantiles. The results show that the investigated area can be considered homogeneous (Vi < 1) both for flood volumes (0.097) and durations (0.074). To determine the best-fit regional distribution, the six most commonly used distributions were used. Results obtained by L-moment ratio diagram and Z statistics show that all distributions satisfy the test criteria, but because the Log-Normal distribution has the value closest to zero, it can be selected as the best-fit distribution for the volumes (0.12) and durations (0.25) of floods.
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Stamatatou, Nikoletta, Lampros Vasiliades, and Athanasios Loukas. "Bivariate Flood Frequency Analysis Using Copulas." Proceedings 2, no. 11 (August 3, 2018): 635. http://dx.doi.org/10.3390/proceedings2110635.

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Flood frequency estimation for the design of hydraulic structures is usually performed as a univariate analysis of flood event magnitudes. However, recent studies show that for accurate return period estimation of the flood events, the dependence and the correlation pattern among flood attribute characteristics, such as peak discharge, volume and duration should be taken into account in a multivariate framework. The primary goal of this study is to compare univariate and joint bivariate return periods of floods that all rely on different probability concepts in Yermasoyia watershed, Cyprus. Pairs of peak discharge with corresponding flood volumes are estimated and compared using annual maximum series (AMS) and peaks over threshold (POT) approaches. The Lyne-Hollick recursive digital filter is applied to separate baseflow from quick flow and to subsequently estimate flood volumes from the quick flow timeseries. Marginal distributions of flood peaks and volumes are examined and used for the estimation of typical design periods. The dependence between peak discharges and volumes is then assessed by an exploratory data analysis using K-plots and Chi-plots, and the consistency of their relationship is quantified by Kendall’s correlation coefficient. Copulas from Archimedean, Elliptical and Extreme Value families are fitted using a pseudo-likelihood estimation method, verified using both graphical approaches and a goodness-of-fit test based on the Cramér-von Mises statistic and evaluated according to the corrected Akaike Information Criterion. The selected copula functions and the corresponding joint return periods are calculated and the results are compared with the marginal univariate estimations of each variable. Results indicate the importance of the bivariate analysis in the estimation of design return period of the hydraulic structures.
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ACREMAN, M. C., and R. J. HORROCKS. "Flood Frequency Analysis for the 1988 Truro Floods." Water and Environment Journal 4, no. 1 (February 1990): 62–69. http://dx.doi.org/10.1111/j.1747-6593.1990.tb01558.x.

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Mangukiya, Nikunj K., Darshan J. Mehta, and Raj Jariwala. "Flood frequency analysis and inundation mapping for lower Narmada basin, India." Water Practice and Technology 17, no. 2 (January 31, 2022): 612–22. http://dx.doi.org/10.2166/wpt.2022.009.

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Abstract Floods are one of the world's most destructive natural disasters, taking more lives and causing more infrastructural damage than any other natural phenomenon. Floods have a significant economic, social, and environmental impact in developing countries like India. As a result, it is essential to address this natural disaster to mitigate its effects. The lower Narmada basin has experienced numerous floods, including severe flooding in 1970, 1973, 1984, 1990, 1994, and 2013. The objective of the present study is to use flood frequency analysis to anticipate peak floods and prepare flood inundation maps for the lower Narmada River reach. The flood frequency analysis was carried out using Gumbel's and Log-Pearson Type III Distribution methods. The hydrodynamic simulation was performed using HEC-RAS v6.0 to prepare flood inundation maps for predicted flood peaks. The result shows that the Log-Pearson Type-III distribution method gives good results for the lower return period while Gumbel's method gives good results for the higher return period. The hydrodynamic model results indicate that as the return period increases, the area of the high-risk zone increases while the area of the low-risk zone remains almost constant. The present study concludes that the existing embankment system on the banks of the Narmada River is not sufficient for significant floods. The developed maps will be helpful to government authorities and individual stakeholders to decide the flood mitigation measures.
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Dissertations / Theses on the topic "Flood frequency analysis"

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Sahin, Mehmet Altug. "Regional Flood Frequency Analysis For Ceyhan Basin." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615439/index.pdf.

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Regional flood frequency techniques are commonly used to estimate flood quantiles when flood data are unavailable or the record length at an individual gauging station is insufficient for reliable analyses. These methods compensate for limited or unavailable data by pooling data from nearby gauged sites. This requires the delineation of hydrologically homogeneous regions in which the flood regime is sufficiently similar to allow the spatial transfer of information. Therefore, several Regional Flood Frequency Analysis (RFFA) methods are applied to the Ceyhan Basin. Dalyrmple (1960) Method is applied as a common RFFA method used in Turkey. Multivariate statistical techniques which are Stepwise and Nonlinear Regression Analysis are also applied to flood statistics and basin characteristics for gauging stations. Rainfall, Perimeter, Length of Main River, Circularity, Relative Relief, Basin Relief, Hmax, Hmin, Hmean and H&Delta
are the simple additional basin characteristics. Moreover, before the analysis started, stations are clustered according to their basin characteristics by using the combination of Ward&rsquo
s and k-means clustering techniques. At the end of the study, the results are compared considering the Root Mean Squared Errors, Nash-Sutcliffe Efficiency Index and % difference of results. Using additional basin characteristics and making an analysis with multivariate statistical techniques have positive effect for getting accurate results compared to Dalyrmple (1960) Method in Ceyhan Basin. Clustered region data give more accurate results than non-clustered region data. Comparison between clustered region and non-clustered region Q100/Q2.33 reduced variate values for whole region is 3.53, for cluster-2 it is 3.43 and for cluster-3 it is 3.65. This show that clustering has positive effect in the results. Nonlinear Regression Analysis with three clusters give less errors which are 29.54 RMSE and 0.735 Nash-Sutcliffe Index, when compared to other methods in Ceyhan Basin.
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Labatiuk, Charles W. "A nonparametric approach to flood frequency analysis." Thesis, University of Ottawa (Canada), 1985. http://hdl.handle.net/10393/5000.

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Gingras, Denis. "Regional flood frequency analysis by nonparametric methods." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7879.

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Parametric methods, currently used in regional flood frequency analysis, have numerous drawbacks and limitations, especially with regard to flood distribution selection and regional relationship form. Alternative approaches involving nonparametric methods are investigated in this thesis on a set of New Brunswick annual maximum floods. Nonparametric methods were employed at the three steps of regional analysis: at-site flood frequency analysis, homogeneous region delineation and regional relationship development. Nonparametric flood frequency analysis indicated that an annual maximum flood data set from New Brunswick contained some unimodal distributions along with many mixed distributions of bimodal and heavy-tailed shapes. A simulation study showed that sampling variability from a unimodal distribution could not account for the bimodality in nonparametric frequency analysis, confirming the existence of mixed distributions. L-moment analysis, a parametric method, confirmed that the entire set of floods from New Brunswick could not be appropriately described by a unimodal distribution. In this study, a new method is proposed for the purpose of homogeneous region delineation which effectively combines geographical considerations and flood data characteristics. The technique is based on the grouping of stations with similar density function shape, which reflect similar flood generating mechanisms. In New Brunswick, flood densities of three different shapes were grouped on a geographical basis to delineate homogeneous regions. Statistical tests based on L-moment analysis confirmed that the stations within a homogeneous bimodal region came from the same distribution. But L-moment analysis would propose either the Generalized Logistic or the Generalized Extreme Value as the regional distribution. Nonparametric frequency analysis revealed, however, that the floods within that region actually came from a mixed distribution. Nonparametric regression was employed for regional relationship development in New Brunswick; however, no significant improvement over the parametric approach of linear regression resulted. Using bootstrapping of pairs, a new method to compute the confidence interval at the center of a nonparametric regression was investigated. A comparison of linear and nonparametric regression confidence intervals can assist in evaluating the appropriateness of a linear model, and thus the need to employ nonparametric regression. Nonparametric regression was shown to be useful in screening irrational relationships that could be developed with the parametric approach. A new regional analysis methodology, involving nonparametric methods at the three steps of regional analysis, is proposed in this study, resulting in improved homogeneous region delineation, in more accurate at-site quantile estimates, and more realistic regional relationships.
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Xu, Ben Xiaohui. "Regional flood frequency analysis for southwestern Alberta." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0019/MQ48072.pdf.

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Ahmad, Muhammad Idrees. "Applications of statistics in flood frequency analysis." Thesis, University of St Andrews, 1989. http://hdl.handle.net/10023/2666.

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Estimation of the probability of occurrence of future flood events at one or more locations across a river system is frequently required for the design of bridges, culverts, spillways, dams and other engineering works. This study investigates some of the statistical aspects for estimating the flood frequency distribution at a single site and on regional basis. It is demonstrated that generalized logistic (GL) distribution has many properties well suited for the modelling of flood frequency data. The GL distribution performs better than the other commonly recommended flood frequency distributions in terms of several key properties. Specifically, it is capable of reproducing almost the same degree of skewness typically present in observed flood data. It appears to be more robust to the presence of extreme outliers in the upper tail of the distribution. It has a relatively simpler mathematical form. Thus all the well known methods of parameter estimation can be easily implemented. It is shown that the method of probability weighted moments (PWM) using the conventionally recommended plotting position substantially effects the estimation of the shape parameter of the generalized extreme value (GEV) distribution by relocating the annual maximum flood series. A location invariant plotting position is introduced to use in estimating, by the method of PWM, the parameters of the GEV and the GL distributions. Tests based on empirical distribution function (EDF) statistics are proposed to assess the goodness of fit of the flood frequency distributions. A modified EDF test is derived that gives greater emphasis to the upper tail of a distribution which is more important for flood frequency prediction. Significance points are derived for the GEV and GL distributions when the parameters are to be estimated from the sample data by the method of PWMs. The critical points are considerably smaller than for the case where the parameters of a distribution are assumed to be specified. Approximate formulae over the whole range of the distribution for these tests are also developed which can be used for regional assessment of GEV and GL models based on all the annual maximum series simultaneously in a hydrological region. In order to pool at-site flood data across a region into a single series for regional analysis, the effect of standardization by at-site mean on the estimation of the regional shape parameter of the GEV distribution is examined. Our simulation study based on various synthetic regions reveals that the standardization by the at-site mean underestimates the shape parameter of the GEV by about 30% of its true value and also contributes to the separation of skewness of observed and simulated floods. A two parameter standardization by the at-site estimates of location and scale parameters is proposed. It does not distort the shape of the flood frequency data in the pooling process. Therefore, it offers significantly improved estimate of the shape parameter, allows pooling data with heterogeneous coefficients of variation and helps to explain the separation of skewness effect. Regions on the basis of flood statistics L-CV and USKEW are derived for Scotland and North England. Only about 50% of the basins could be correctly identified as belonging to these regions by a set of seven catchment characteristics. The alternative approach of grouping basins solely on the basis of physical properties is preferable. Six physically homogeneous groups of basins are identified by WARD's multivariate clustering algorithm using the same seven characteristics. These regions have hydrological homogeneity in addition to their physical homogeneity. Dimensionless regional flood frequency curves are produced by fitting GEV and GL distributions for each region. The GEV regional growth curves imply a larger return period for a given magnitude flood. When floods are described by GL model the respective return periods are considerably smaller.
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Wiltshire, S. E. "Statistical techniques for regional flood-frequency analysis." Thesis, University of Newcastle Upon Tyne, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378267.

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Silva, Sallet Dayane. "Regional flood frequency analysis: evaluation of the design flood for 5 Brazilian dams." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18856/.

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Engineers in the water resources field frequently have to estimate the probability of exceedance related to a determined flow value at a chosen river cross-section, also known as flood quantile. This estimation is necessary in order to proceed with the design of different structures, such as dam spillways, and for other functions, such as risk management. The accurate estimation of the flood quantile of interest is not an easy task, as return periods of interest usually require a data record that exceeds the length of the available gauging record at the site of concern. In order to accurately estimate flood quantiles at a given river cross-section, the regional flood frequency analysis (RFFA) is often used, allowing to compensate the lack of data by gathering information from other gauging stations which are supposed to be similar to the target station. The present Thesis deals with the evaluation of the 1,000-year flood quantile for five Brazilian dams based on a RFFA. The five studied dams are: Cachoeira Dourada, Ponte Alta do Bom Jesus, Quatiara, Poxoréo and Volta Grande. An index-flood method is applied as a usual approach in RFFA. The Region of Influence approach is then considered in order to define a homogeneous pooling-group of sites for a given target site. Overall, 79 gauging stations are examined for the evaluation of the 1,000-year flood quantile.
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Tanaka, Tomohiro. "Extreme flood frequency analysis and flood risk curve development considering spatiotemporal rainfall variability." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217150.

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Wang, Cheng. "A joint probability approach for the confluence flood frequency analysis." [Ames, Iowa : Iowa State University], 2007.

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Harden, Tessa M. "Late-Holocene Flood History, Flood-Frequency, and Paleoclimate Analysis of the Central Black Hills, South Dakota." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/684.

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Stratigraphic records in four basins in the central Black Hills in combination with hydraulic calculations show that all basins have experienced multiple large floods in the last 2,000 years with flow rates substantially larger than those gaged historically. Flood-frequency analyses for the study reaches account for 29 paleofloods inferred from interpretation of stratigraphic records locally extending back 1,000 to almost 2,000 years. The addition of paleoflood data to the gaged and historical data significantly reduced uncertainties related to flood-frequency. For all study reaches the 95-percent confidence intervals about the low-probability quantile estimates (100-, 200-, and 500-year recurrence-intervals) were reduced by at least 78 percent relative to those for the gaged records only. In some cases, 95-percent uncertainty intervals were reduced by 99 percent or more. Additionally, a stratigraphic record of 35 large paleofloods and four large historical floods during the last 2,000 years (including several floods not used in the frequency analyses due to age constraints) reveal four flooding episodes at A.D.: 130-40, 640-670, 900-1290, and 1410 to present. During the Medieval Climate Anomaly (~A.D. 900-1300) the Black Hills experienced 13 large floods compared to nine large floods in the previous 800 years. This high concentration of large flooding events were likely caused by: 1) instability of air masses caused by stronger than normal westerlies; 2) larger or more frequent hurricanes in the Gulf of Mexico and Atlantic Ocean; and/or 3) reduced land covering vegetation and an increase in forest fires caused by the severe drought. By examining the response of streamflow to the MCA, it seems likely that if severe long-term drought conditions persist for the Black Hills region, an increase in the frequency and magnitude of large floods can be expected. The Black Hills paleofloods represent some of the largest known floods, relative to drainage area, for the United States. Many of the other largest known United States floods are in areas with physiographic and climatologic conditions broadly similar to the Black Hills--semi-arid and rugged landscapes that intercept and focus heavy precipitation from convective storm systems.
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Books on the topic "Flood frequency analysis"

1

H, Hamed Khaled, ed. Flood frequency analysis. Boca Raton: CRC Press, 2000.

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Singh, Vijay P., ed. Regional Flood Frequency Analysis. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2.

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Kumar, Rakesh. Regional flood frequency analysis for sub-Himalayan region. Roorkee: National Institute of Hydrology, 1994.

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Vaill, J. E. Analysis of the magnitude and frequency of floods in Colorado. Denver, Colo: U.S. Department of the Interior, U.S. Geological Survey, 2000.

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Cunnane, C. Statistical distributions for flood frequency analysis. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1989.

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Ontario. Ministry of Natural Resources. Regional flood frequency analysis for Ontario streams: Single station analysis and index method. Toronto: Queen's Printer for Ontario, 1985.

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Lorenz, D. L. Generalized skew coefficients for flood-frequency analysis in Minnesota. Mounds View, Minn: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Lorenz, D. L. Generalized skew coefficients for flood-frequency analysis in Minnesota. Mounds View, Minn: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Lorenz, D. L. Generalized skew coefficients for flood-frequency analysis in Minnesota. Mounds View, Minn: U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Seminar on Flood Frequency Analysis (1985 New Delhi, India). Seminar on Flood Frequency Analysis, 30 September 1985: Proceedings. New Delhi: The Board, 1985.

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Book chapters on the topic "Flood frequency analysis"

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Laursen, Emmett M. "The 100-Year Flood." In Regional Flood Frequency Analysis, 299–308. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_22.

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Tasker, Gary D. "Regional Analysis of Flood Frequencies." In Regional Flood Frequency Analysis, 1–9. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_1.

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Moore, R. J. "Combined Regional Flood Frequency Analysis and Regression on Catchment Characteristics by Maximum Likelihood Estimation." In Regional Flood Frequency Analysis, 119–31. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_10.

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Wiltshire, Stephen, and Max Beran. "Multivariate Techniques for the Identification of Homogeneous Flood Frequency Regions." In Regional Flood Frequency Analysis, 133–45. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_11.

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Wiltshire, Stephen, and Max Beran. "A Significance Test for Homogeneity of Flood Frequency Regions." In Regional Flood Frequency Analysis, 147–58. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_12.

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Arnell, Nigel, and Max Beran. "Testing the Suitability of the Two-Component Extreme Value Distribution for Regional Flood Estimation." In Regional Flood Frequency Analysis, 159–75. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_13.

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Canuti, P., and U. Moisello. "A Method for Estimating the Peak Discharge through the Records of Mean Daily Discharge." In Regional Flood Frequency Analysis, 177–84. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_14.

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Spreafico, M., and F. Naef. "Observation and Analysis of Flood Discharges — Experiences from Switzerland." In Regional Flood Frequency Analysis, 185–95. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_15.

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Reich, Brian M., and Donald R. Davis. "Estimating the Regulatory Flood on a Degrading River." In Regional Flood Frequency Analysis, 197–212. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_16.

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Condie, R., P. J. Pilon, K. D. Harvey, and H. Goertz. "Comparison of Regional Flood Frequency Methods in Southern Ontario Using Analysis of Variance Techniques." In Regional Flood Frequency Analysis, 213–22. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3959-2_17.

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Conference papers on the topic "Flood frequency analysis"

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Yan, Hongxiang, and Hamid Moradkhani. "Bayesian Model Averaging for Flood Frequency Analysis." In World Environmental and Water Resources Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.189.

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Engstrom, Jackson J. "A WATERSHED SCALE FLOOD INUNDATION FREQUENCY ANALYSIS." In 54th Annual GSA North-Central Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020nc-347980.

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Yu, Xin, and Jery R. Stedinger. "LP3 Flood Frequency Analysis Including Climate Change." In World Environmental and Water Resources Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481400.043.

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Salleh, Norizzati, Fadhilah Yusof, and Zulkifli Yusop. "Bivariate copulas functions for flood frequency analysis." In ADVANCES IN INDUSTRIAL AND APPLIED MATHEMATICS: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences (SKSM23). Author(s), 2016. http://dx.doi.org/10.1063/1.4954612.

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Yu, Xin, Timothy A. Cohn, and Jery R. Stedinger. "Flood Frequency Analysis in the Context of Climate Change." In World Environmental and Water Resources Congress 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.233.

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Srinivas, V. V., A. Ramachandra Rao, Shivam Tripathi, and Rao S. Govindaraju. "Regional Flood Frequency Analysis Using Two-Level Clustering Approach." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)410.

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Ahn, Kuk-Hyun, and Richard Palmer. "Regional Flood Frequency Analysis Using Spatial Proximity and Basin Characteristics." In World Environmental and Water Resources Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479858.034.

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Griffis, V. W., and J. R. Stedinger. "The LP3 Distribution and Its Use for Flood Frequency Analysis." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)496.

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"Sampling variability in flood frequency analysis: how important is it?" In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l6.rahman.

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Raynal-Villasenor, Jose A., and Jose D. Salas. "Using Bivariate Distributions for Flood Frequency Analysis Based on Incomplete Data." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)618.

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Reports on the topic "Flood frequency analysis"

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Kubik, Harold. HECWRC, Flood Flow Frequency Analysis Computer Program 723-X6-L7550. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada204571.

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Harden, Tessa. Late-Holocene Flood History, Flood-Frequency, and Paleoclimate Analysis of the Central Black Hills, South Dakota. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.684.

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Gartner, John D., Mathew K. Mersel, and Robert W. Lichvar. Hydrologic Modeling and Flood Frequency Analysis for Ordinary High Water Mark Delineation. Fort Belvoir, VA: Defense Technical Information Center, February 2016. http://dx.doi.org/10.21236/ad1003776.

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Hamill, Daniel, and Gabrielle David. Hydrologic analysis of field delineated ordinary high water marks for rivers and streams. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41681.

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Streamflow influences the distribution and organization of high water marks along rivers and streams in a landscape. The federal definition of ordinary high water mark (OHWM) is defined by physical and vegetative field indicators that are used to identify inundation extents of ordinary high water levels without any reference to the relationship between streamflow and regulatory definition. Streamflow is the amount, or volume, of water that moves through a stream per unit time. This study explores regional characteristics and relationships between field-delineated OHWMs and frequency-magnitude streamflow metrics derived from a flood frequency analysis. The elevation of OHWM is related to representative constant-level discharge return periods with national average return periods of 6.9 years using partial duration series and 2.8 years using annual maximum flood frequency approaches. The range in OHWM return periods is 0.5 to 9.08, and 1.05 to 11.01 years for peaks-over-threshold and annual maximum flood frequency methods, respectively. The range of OHWM return periods is consistent with the range found in national studies of return periods related to bankfull streamflow. Hydraulic models produced a statistically significant relationship between OHWM and bank-full, which reinforces the close relationship between the scientific concept and OHWM in most stream systems.
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Wagner, Anna, Christopher Hiemstra, Glen Liston, Katrina Bennett, Dan Cooley, and Arthur Gelvin. Changes in climate and its effect on timing of snowmelt and intensity-duration-frequency curves. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41402.

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Snow is a critical water resource for much of the U.S. and failure to account for changes in climate could deleteriously impact military assets. In this study, we produced historical and future snow trends through modeling at three military sites (in Washington, Colorado, and North Dakota) and the Western U.S. For selected rivers, we performed seasonal trend analysis of discharge extremes. We calculated flood frequency curves and estimated the probability of occurrence of future annual maximum daily rainfall depths. Additionally, we generated intensity-duration-frequency curves (IDF) to find rainfall intensities at several return levels. Generally, our results showed a decreasing trend in historical and future snow duration, rain-on-snow events, and snowmelt runoff. This decreasing trend in snowpack could reduce water resources. A statistically significant increase in maximum streamflow for most rivers at the Washington and North Dakota sites occurred for several months of the year. In Colorado, only a few months indicated such an increase. Future IDF curves for Colorado and North Dakota indicated a slight increase in rainfall intensity whereas the Washington site had about a twofold increase. This increase in rainfall intensity could result in major flood events, demonstrating the importance of accounting for climate changes in infrastructure planning.
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Tait, Emma, Pia Ruisi-Besares, Matthias Sirch, Alyx Belisle, Jennifer Pontius, and Elissa Schuett. Technical Report: Monitoring and Communicating Changes in Disturbance Regimes (Version 1.0). Forest Ecosystem Monitoring Cooperative, October 2021. http://dx.doi.org/10.18125/cc0a0l.

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Shifts in disturbance patterns across the Northeast are of increasing concern as the climate continues to change. In particular, changes in patterns of frequency, severity and extent of disturbance event may have detrimental cascading impacts on forest ecosystems and human communities. To explore how changing disturbance regimes might impact future forest health and management it is necessary to understand the historical trends and impacts of disturbance in the region. Although individual types of disturbance have already been analyzed, there is a need for a consolidated overview of the current state of disturbance in northeastern forests. To address this need, the Forest Ecosystem Monitoring Cooperative (FEMC) developed the FEMC: Tracking Shifts in Disturbance Regimes web portal for users to explore changes over time of key disturbance drivers, identify important disturbance responses, and discover where monitoring is happening for both drivers and responses. In collaboration with our advisory committee, we identified key disturbance drivers—flood, high winds, fire, drought, pests—and responses—macroinvertebrates, cold-water fisheries, invasive plants—that are of particular concern in the region. For each of the drivers we identified a suitable regional dataset and analyzed changes over time in frequency, severity, and extent. We also created a structured framework to catalogue programs across the region that are monitoring for these disturbance drivers and responses. Version 1.0 of the FEMC: Tracking Shifts in Disturbance Regimes (https://uvm.edu/femc/disturbance) web portal, first released in October 2021, contains 272 data programs, 11 drivers and three responses. Through the web portal users can browse programs by state, driver type or response type, and explore where monitoring is happening across the region. Driver-specific analyses allow users to quickly see the trends in severity, frequency and extent of selected disturbances and compare the impacts in selected states to regional data. We hope that this collection of programs and the analysis of trends provide researchers and land managers with an easy way to understand the current state of disturbance in northeastern forests that enables them to analyze and plan for future impacts.
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Simms, Janet, Benjamin Breland, and William Doll. Geophysical investigation to assess condition of grouted scour hole : Old River Control Complex—Low Sill Concordia Parish, Louisiana. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41863.

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Geophysical surveys, both land-based and water-borne, were conducted at the Old River Control Complex‒Low Sill, Concordia Parish, LA. The purpose of the surveys was to assess the condition of the grout within the scour region resulting from the 1973 flood event, including identification of potential voids within the grout. Information from the ground studies will also be used for calibration of subsequent marine geophysical data and used in stability analysis studies. The water-borne survey consisted of towed low frequency (16-80 MHz) ground penetrating radar (GPR), whereas the land-based surveys used electrical resistivity and seismic refraction. The GPR survey was conducted in the Old River Channel on the upstream side of the Low Sill structure. The high electrical conductivity of the water (~50 mS/m) precluded penetration of the GPR signal; thus, no useful data were obtained. The land-based surveys were performed on both northeast and southeast sides of the Low Sill structure. Both resistivity and seismic surveys identify a layered subsurface stratigraphy that corresponds, in general, with available borehole data and constructed geologic profiles. In addition, an anomalous area on the southeast side was identified that warrants future investigation and monitoring.
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XU, Fangyuan, Qiqi Yang, Wenchao ZHANG, and Wei HUANG. Effects of acupuncture and moxibustion in reducing urine leakage for female stress urinary incontinence: A protocol for an overview of systematic reviews and meta-analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0100.

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Review question / Objective: Participants: Female patients who are diagnosed with SUI according to any widely recognized and accepted criteria, regardless of their age, ethnicity, education, or social status. Interventions: The treatment used in the experimental group mainly includes acupuncture, electroacupuncture, warm needle acupuncture, stick-moxibustion, direct-moxibustion, partition moxibustion, or one of the above therapies combined with traditional Chinese medicine or pelvic floor muscle exercise. Comparator/control: The control groups were treated with conventional western medicine, pelvic floor muscle exercise, electrical stimulation, or placebo. Outcome indicators: (1) Primary outcomes: effective rate, urine leakage in 1-hour pad test; (2) Secondary outcomes: International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF) score, pelvic floor muscle strength, frequency of 24-hour urinary incontinence, and adverse reactions. Types of studies: Peer-reviewed SRs and MAs based on randomized controlled trials (RCTs) will be included in this overview.
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Gambill, Daniel, Matthew Stoklosa, Sean Matus, Heidi Howard, and Garrett Feezor. White Sands Missile Range Thurgood Canyon watershed : analysis of Range Road 7 for development of best management practices and recommendations. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45622.

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Thurgood Canyon, located on White Sands Missile Range (WSMR), contains an alluvial fan that is bisected by a primary installation road and is in the proximity of sensitive fish habitats. This project was initiated to determine if and how sensitive fish habitats at the base of the fan are impacted by the existing drainage infrastructure and to assess the condition and sustainability of the existing transportation infrastructure. Findings show that the current drainage infrastructure maintains flow energy and sediment carrying capacity further down the fan than would occur in its absence. However, frequent to moderately rare (small to medium) flood events dissipate over 2 km from sensitive habitat, and overland flow and sediment do not reach the base of the fan. Controlled flow diversion is recommended upstream of the road to mitigate infrastructure or habitat impacts during very rare (very large) flood events. A comprehensive operation and management approach is presented to achieve sustainable transportation infrastructure and reduce the likelihood of impacts to the sensitive habitat.
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Kohut, P. Evaluation of potential severe accidents during low power and shutdown operations at Surry, Unit 1: Analysis of core damage frequency from internal floods during mid-loop operations. Volume 4. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10174884.

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