Temat: rainfall duration - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Spatial variability study of rainfall in Cartagena de Indias, Colombia
Autorzy:: Mouthon-Bello, Javier A.
Quiñones-Bolaños, Edgar
Ortiz-Corrales, Jairo E.
Mouthon-Barraza, Natalia
Hernández-Fuentes, Maria D.J.
Caraballo-Meza, Andrea C.
Powiązania:: https://bibliotekanauki.pl/articles/2174346.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: coastal city
rainfall duration
rainfall intensity
spatial correlation
spatial variability
Opis:: Precipitation is a component of the hydrological cycle, knowing its spatial distribution is vital for the management of hydrographic basins, the territory and the development of fundamental activities for society. That is why the present study shows the spatial variability of rainfall in Cartagena de Indias city with a network of rain gauges, made up of nine pieces of equipment, separated from each other by 0.9-27 km. After a year of recording (2019), using historical series of data, it was found that the maximum rainfall occurs in the trimester between September and November, with interpolated maps made by the Ordinary Kriging (OK) method it was found that the maximum rainfall is focused on the north, centre and west of the territory, instead, the maximum intensities are presented in the centre and west, the minimums for both variables are presented to the east and south. The 70 and 90% of the rain events have a duration of less than 30 min and 1 h, respectively. Three-parameter exponential function was fitted to the paired correlation distances, and presented correlations lower than 0.8, 0.5 and 0.2 from distances of 1, 3 and 7 km, respectively, in 30 min rain integration. It was also found that with a pluviometric network conformed by at least six pieces of equipment and separated by a 5 km distance from each other in the urban area, a correlation of 0.5 and compliance with the WMO recommendations would be obtained.
Źródło:: Journal of Water and Land Development; 2022, 55; 138--149
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An empirical model of rainfall intensity as a function of rainfall duration and probability of occurrence
Autorzy:: Harisuseno, Donny
Prasetyorini, Linda
Fidari, Jadfan S.
Chandrasasi, Dian
Powiązania:: https://bibliotekanauki.pl/articles/2203546.pdf
Data publikacji:: 2023
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: empirical model
probability of occurrence
rainfall duration
rainfall intensity
recurrence interval
Opis:: Rainfall is one of the main components of the hydrologic cycle; thus, the availability of accurate rainfall data is fundamental for designing and operating water resources systems and infrastructure. This study aims to develop an empirical model of rainfall intensity (It,p) as a function of its probability (p) and duration (t). In 1999-2020, data on the hourly duration of rainfall were collected from automatic rainfall recorder (ARR) gauges. The empirical model has been developed using a statistical approach based on duration (t) and probability (p), and subsequently they have been validated with those obtained from ARR data. The resulting model demonstrates good performance compared with other empirical formulas (Sherman and Ishiguro) as indicated by the percent bias (PBIAS) values (2.35-3.17), ratio of the RMSE (root mean square error) between simulated and observed values to the standard deviation of the observations (RSR, 0.028-0.031), Nash-Sutcliffe efficiency (NSE, 0.905-0.996), and index of agreement (d, 0.96-0.98) which classified in the rating of “very good” in model performance. The reliability of the estimated intensity based on the empirical model shows a tendency to decrease as duration (t) increases, and a good accuracy mainly for the rainfall intensity for shorter periods (1-, 2-, and 3-hours), whereas low accuracy for long rainfall periods. The study found that the empirical model exhibits a reliable estimate for rainfall intensity with small recurrence intervals (Tr) 2-, 5-, 10-, and a 20-year interval and for a shorter duration (t). Validation results confirm that the rainfall intensity model shows good performance; thus, it could be used as a reliable instrument to estimate rainfall intensity in the study area.
Źródło:: Journal of Water and Land Development; 2023, 56; 182--193
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Estimation of standard duration maximum rainfall by using regression models
Autorzy:: Yerdelen, Cahit
Asikoglu, Ömer Levend
Abdelkader, Mohamed
Eris, Ebru
Powiązania:: https://bibliotekanauki.pl/articles/1841938.pdf
Data publikacji:: 2021
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: Eastern Black Sea Region
Marmara Region
regression model
standard duration maximum rainfall
temporal distribution of maximum daily rainfall
Opis:: Gauging stations of meteorological networks generally record rainfall on a daily basis. However, sub-daily rainfall observations are required for modelling flood control structures, or urban drainage systems. In this respect, determination of temporal distribution of daily rainfall, and estimation of standard duration of rainfall are significant in hydrological studies. Although sub-daily rainfall gauges are present at meteorological networks, especially in the developing countries, their number is very low compared to the gauges that record daily rainfall. This study aims at developing a method for estimating temporal distribution of maximum daily rainfall, and hence for generating maximum rainfall envelope curves. For this purpose, the standard duration of rainfall was examined. Among various regression methods, it was determined that the temporal distribution of 24-hour rainfall successfully fits the logarithmic model. The logarithmic model’s regression coefficients (named a and b) were then linked to the geographic and meteorological characteristics of the gauging stations. The developed model was applied to 47 stations located at two distinct geographical regions: the Marmara Sea Region and Eastern Black Sea Region, Turkey. Various statistical criteria were used to test the method's accuracy, and the proposed model provided successful results. For instance, the RMSE values of the regression coefficients a and b in Marmara Regions are 0.004 and 0.027. On the other hand, RMSE values are 0.007 and 0.02 for Eastern Black Sea Region.
Źródło:: Journal of Water and Land Development; 2021, 50; 281-288
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Criteria for identifying maximum rainfall determined by the peaks-over-threshold (POT) method under the Polish Atlas of Rainfall Intensities (PANDa) project
Autorzy:: Burszta-Adamiak, Ewa
Licznar, Paweł
Zaleski, Janusz
Powiązania:: https://bibliotekanauki.pl/articles/108607.pdf
Data publikacji:: 2019
Wydawca:: Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:: rainfall model
Intensity-Duration-Frequency
IDF
Depth-Duration-Frequency
DDF
extreme value theory
EVT
Opis:: Determination of rainfall maxima from long-term series is one of the more important tasks in urban hydrology. These maxima are useful both in designing land drainage systems and for flood protection in a catchment. The identification of rainfall maxima for the hierarchy of rainfall durations from 5 min to 4 320 min is a fundamental stage of the creation of the first version of the Polish Atlas of Rainfall Intensities (PANDa), which will ultimately be a source of updated and reliable information on design rainfall intensities for designing and modeling rainwater drainage and retention systems in Poland. One of the methods for identifying extreme rainfall events is to use criteria for selecting rainfall based on their depth for a given rainfall frequency and duration. Existing national experience in this respect is based on the results of analyses usually conducted with regard to records from single weather stations. This article presents the results of a study designed to verify the usefulness of the literature-based criteria for identifying rainfall maxima using the peaks-over-threshold (POT) method at a much broader nationwide scale. The study analyzed data from a previously created digital database of rainfall series, which includes 3 000 stationyears (consisting of a 30-year measurement series from 100 weather stations of the Institute of Meteorology and the Water Management - National Research Institute (IMGW-PIB). The study results show that as far as the investigated measurement series are concerned, the criteria based on the literature sources have limited application and can only be used for identifying the largest short-duration rainfall events. To determine rainfall maxima for all of the time intervals analyzed (from 5 minutes to 3 days), it was necessary to develop our own criteria that would allow the methodology for identifying extreme rainfall events to be standardized for all 100 stations.
Źródło:: Meteorology Hydrology and Water Management. Research and Operational Applications; 2019, 7, 1; 3-13
2299-3835
2353-5652
Pojawia się w:: Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Modelling of rainfall intensity in a watershed: A case study in Amprong watershed, Kedungkandang, Malang, East Java of Indonesia
Modelowanie intensywności opadów w zlewni – przykład zlewni Amprong w Kedungkandang, Malang, Wschodnia Jawa, Indonezja
Autorzy:: Limantara, L. M.
Harisuseno, D. H.
Devi, V. A. K.
Powiązania:: https://bibliotekanauki.pl/articles/293169.pdf
Data publikacji:: 2018
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: duration
forecasting
probability
flood probability
rainfall intensity
czas trwania opadu
intensywność opadu
modelowanie
prawdopodobieństwo powodzi
prognozowanie
Opis:: Analysis of rainfall intensity with specific probability is very important to control the negative impact of rainfall occurrence. Rainfall intensity (I), probability (p) and return period (T) are very important variables for the discharge analysis. There are several methods to estimate rainfall intensity, such as Talbot, Sherman, and Ishiguro. The aim of this research is to develop equation model which can predict rainfall intensity with specific duration and probability. The equation model is compared with the other methods. The result of rainfall intensity model with the value of correlation >0.94 and Nash–Sutcliffe coefficient >99 is quite good enough if compared with the observation result. For specific return period, the modelling result is less accurate which is most likely caused by election of duration. Advanced research in other location indicates that short duration gives the better result for rainfall intensity modelling, which is shown by the decreasing average value of mean absolute error (MAE) from 12.963 to 8.26.
Analiza intensywności opadów o określonym prawdopodobieństwie jest bardzo ważna, aby móc kontrolować negatywny wpływ opadów. Intensywność opadu (I), jego prawdopodobieństwo (p) i okres powtarzalności (t) są istotnymi zmiennymi w analizie odpływu. Istnieje kilka metod (Talbota, Shermana i Ishiguro) wykorzystywanych do oceny intensywności opadu. Celem badań było zbudowanie modelu, który może przewidywać intensywność opadu o określonym czasie trwania i prawdopodobieństwie. Wyniki uzyskane za pomocą modelowania porównano z uzyskanymi innymi metodami. Wyniki modelu intensywności opadów z wartością korelacji >0,94 i współczynnikiem Nasha–Sutcliffe’a > 0,99 są wystarczająco dobre, jeśli porówna się je z danymi pochodzącymi z obserwacji. W odniesieniu do określonego okresu powtarzalności wyniki modelowania są mniej dokładne, prawdopodobnie ze względu na wybrany czas trwania. Zaawansowane badania w innych lokalizacjach wskazują, że w przypadku wyboru krótkich czasów trwania opadu uzyskuje się lepsze wyniki modelowania intensywności opadu, czego dowodem jest malejący z 12,963 do 8,26 średni błąd bezwzględny.
Źródło:: Journal of Water and Land Development; 2018, 38; 75-84
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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