The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects DOI Creative Commons
Óscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(11), P. 194 - 194

Published: Nov. 15, 2024

Engineering dam projects benefit society, including hydropower, water supply, agriculture, and flood control. During the planning stage, it is crucial to calculate extreme hydrographs associated with different return periods for spillways diversion structures (such as tunnels, conduits, temporary diversions, multiple-stage cofferdams). In many countries, have ranging from 1000 10,000 years, while are designed shorter periods. This study introduces a hydrological method based on data large rivers which can be used compute in engineering projects. The proposed model relies solely frequency analysis of peak flow, base volume various periods, along recorded maximum hydrographs, design applied El Quimbo Hydropower Plant Colombia, has drainage area 6832 km2. results demonstrate that this effectively captures flows evaluates hydrograph volumes Root Mean Square Error 11.9% was achieved during validation stage model. A comprehensive comparison rainfall–runoff also provided evaluate relative magnitudes variables analysed, ensuring thorough reliable assessment method.

Language: Английский

Stochastic Analysis of Rock Strength Variability in Underground Coal Mining DOI

Mohammad Reza Soleimanfar,

Reza Shirinabadi, Navid Hosseini

et al.

Geotechnical and Geological Engineering, Journal Year: 2025, Volume and Issue: 43(2)

Published: Jan. 31, 2025

Language: Английский

Citations

1
Application of the Probability of Extreme Sea Levels at Selected Baltic Sea Tide Gauge Stations DOI Open Access
Tomasz Wolski, Andrzej Giza, B. Wiśniewski

et al.

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 291 - 291

Published: Jan. 21, 2025

The aim of this study was to analyze the application probability extreme water level predictions along entire Baltic Sea coast. In initial part work, critical sea levels off States were reviewed. These are related height breakwaters and determined on basis probabilistic methods. Then, heights theoretical in quantile range determined. Calculations performed using Gumbel Pearson III type distributions. Visualizations maximum minimum levels, as well calculations surface length coastline, made ArcGIS 10.2.1 software. A comparison from two periods showed that over last 60 years, there has been a stable trend an increase both observed 2.6 mm/year. At same time, return period for tide gauge stations reduced by average about 50%. It could thus be concluded hydrological hazards region appeared twice often they did first half 20th century. Later we what size coastline corresponded particular ranges different periods. For with 200-year period, much 19.1% 23.8% its may influenced extremely high (≥200 cm). areas inner parts great gulfs. them, lower than 200 cm, which indicates potential risk storm floods. Based calculations, it Pärnu Bay, within lies station, is most hydrologically dangerous basin Sea.

Language: Английский

Citations

0
Scaling Properties of Rainfall as a Basis for Intensity–Duration–Frequency Relationships and Their Spatial Distribution in Catalunya, NE Spain DOI Open Access
M. del Carmen Casas Castillo, Alba Llabrés‐Brustenga, Raúl Rodríguez Solá

et al.

Climate, Journal Year: 2025, Volume and Issue: 13(2), P. 37 - 37

Published: Feb. 8, 2025

The spatial distribution of rainfall intensity–duration–frequency (IDF) values, essential for hydrological applications, were estimated Catalunya, Spain. From a larger database managed by the Meteorological Service Catalunya and after rigorous quality control, 163 high-quality daily series spanning from 1942 to 2016, with an average length 39.8 years approximately one station per 200 km2, selected. A monofractal downscaling methodology was applied derive intensities sub-daily durations using reference 24 h duration as basis, followed interpolations on 1 km × grid. scaling parameter values have been found be higher in northwestern mountainous areas, influenced Atlantic climate, lower central–western driest zones. general negative gradient observed toward coastline, reflecting increasing influence Mediterranean Sea. IDF results are presented maps, providing intensity–frequency estimates between hour day, return periods 2 years, uncertainty below 12% 200-year period, shorter periods. These findings highlight need capture variations urban planning, flood climate resilience efforts.

Language: Английский

Citations

0
Individual Flood Risk Assessment and Insurance Decision Factors of Floodplain Residents. Representative Studies in Poland DOI
Michał Nadolny, Łukasz Kuźmiński,

Anna Grzęda

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
An In-Depth Statistical Analysis of the Pearson Type III Distribution Behavior in Modeling Extreme and Rare Events DOI Open Access
Cristian Gabriel Anghel,

Dan Ianculescu

Water, Journal Year: 2025, Volume and Issue: 17(10), P. 1539 - 1539

Published: May 20, 2025

Statistical distributions play a crucial role in water resources management and civil engineering, particularly for analyzing data variability predicting rare events with extremely long return periods (e.g., T = 1000 years, 10,000 years). Among these, the Pearson III (PE3) distribution is widely used hydrology flood frequency analysis (FFA). This study aims to provide comprehensive guide practical application of PE3 FFA. It explores five parameter estimation methods, presenting both exact newly developed approximate relationships calculating parameters factors. The relies on from four rivers varying morphometric characteristics record lengths. results highlight that distribution, when L-moments method, offers most reliable quantile estimates, characterized by smallest biases compared other methods 31% Nicolina River and, respectively, 5% Siret Ialomita Rivers) highest confidence events. Based these findings, approach recommended improve accuracy extreme flow forecasts.

Language: Английский

Citations

0
Analysis of rainfall variability and extreme events in South-Western Nigeria: implications for water resource management and climate resilience DOI Creative Commons
Ayoola Emmanuel Awode,

James R. Adewumi,

Obinna Anthony Obiora-Okeke

et al.

Bulletin of the National Research Centre/Bulletin of the National Research Center, Journal Year: 2025, Volume and Issue: 49(1)

Published: May 27, 2025

Abstract Rainfall variability and extreme events significantly impact agriculture, water resource management, urban planning in South-Western Nigeria, a region characterized by distinct wet dry seasons. The study aims to analyse rainfall patterns, quantify events, estimate return periods using statistical models address the challenges posed these variations. Forty years of data (1983–2023) were analysed capture seasonal inter-annual variability. Extreme modelled Gumbel generalized value (GEV) distributions, with latter providing superior fit, as validated Kolmogorov–Smirnov (K–S) Anderson–Darling (A–D) tests. results show bimodal pattern peaks June–July September–October an "August break". Annual highlighted high-rainfall like 1995, 2009, 2019 low-rainfall such 2000 2015, influenced climate drivers ENSO AMO. intensities for 2, 10, 100 estimated at 1463 mm, 1647 1733 respectively, based on GEV model. findings emphasize need adaptive strategies, including improved storage systems, flood control infrastructure, climate-resilient agricultural practices. Future research should integrate projections anticipate trends under changing climatic conditions, supporting sustainable development disaster resilience region.

Language: Английский

Citations

0
The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects DOI Creative Commons
Óscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(11), P. 194 - 194

Published: Nov. 15, 2024

Engineering dam projects benefit society, including hydropower, water supply, agriculture, and flood control. During the planning stage, it is crucial to calculate extreme hydrographs associated with different return periods for spillways diversion structures (such as tunnels, conduits, temporary diversions, multiple-stage cofferdams). In many countries, have ranging from 1000 10,000 years, while are designed shorter periods. This study introduces a hydrological method based on data large rivers which can be used compute in engineering projects. The proposed model relies solely frequency analysis of peak flow, base volume various periods, along recorded maximum hydrographs, design applied El Quimbo Hydropower Plant Colombia, has drainage area 6832 km2. results demonstrate that this effectively captures flows evaluates hydrograph volumes Root Mean Square Error 11.9% was achieved during validation stage model. A comprehensive comparison rainfall–runoff also provided evaluate relative magnitudes variables analysed, ensuring thorough reliable assessment method.

Language: Английский

Citations

0