dor_id: 4120399

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590.#.#.d: Los artículos enviados a la Revista Atmósfera se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT), Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex), Scientific Electronic Library Online (SciELO), SCOPUS, Web Of Science (WoS), SCImago Journal Rank (SJR).

561.#.#.u: https://www.atmosfera.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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270.#.#.d: MX

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53024/46783

100.1.#.a: Yürekli, Kadri; Enginsu, Melih; Erdogan, Muberra

524.#.#.a: Yürekli, Kadri, et al. (2020). Regional extreme rainfall estimation in Middle Black Sea Region, Turkey. Atmósfera; Early release, 2020. Recuperado de https://repositorio.unam.mx/contenidos/4120399

245.1.0.a: Regional extreme rainfall estimation in Middle Black Sea Region, Turkey

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Centro de Ciencias de la Atmósfera, UNAM

264.#.0.c: 2020

264.#.1.c: 2021-05-04

653.#.#.a: Maximum rainfall; l-moment; discordancy; heterogeneity measure; index-storm

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, fecha de asignación de la licencia 2021-05-04, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53024

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041.#.7.h: eng

520.3.#.a: The occurrence probabilities of heavy rainfalls brought about flood events have an essential role in designing water-related structures and water resource management. In many cases, data for analysis are either not available or are insufficient for reliable design of water-related structures. regional frequency analysis is frequently preferred to provide design information at sites with especially inadequate data available. our study implemented l-moment procedures to annual maximum rainfall series from 70 gauging stations in the middle black sea region (mbsr) in turkey to estimate regional rainfall quantiles. The first attempt for regionalization was to evaluate the entire area as an only homogeneous region. The sub-regions were initially defined with the ward’s clustering algorithm due to the presence of discordant sites under a presumption of a single homogeneous region. In compliance with the results of the discordancy and heterogeneity measures, the most promising classification was achieved with 6 clusters (sub-regions). The sub-regions have satisfied the homogeneity condition as “acceptably homogeneous.” the gev and glo distributions in five sub-regions, gno distribution in four sub-regions, and pe3 distribution in three sub-regions were decided to be acceptable as a regional frequency distribution. In comparison, gpa is a candidate distribution in none of six sub-regions.

773.1.#.t: Atmósfera; Early release (2020)

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

046.#.#.j: 2021-10-20 00:00:00.000000

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

264.#.1.b: Centro de Ciencias de la Atmósfera, UNAM

758.#.#.1: https://www.revistascca.unam.mx/atm/index.php/atm/index

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Artículo

Regional extreme rainfall estimation in Middle Black Sea Region, Turkey

Yürekli, Kadri; Enginsu, Melih; Erdogan, Muberra

Centro de Ciencias de la Atmósfera, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Centro de Ciencias de la Atmósfera, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Yürekli, Kadri, et al. (2020). Regional extreme rainfall estimation in Middle Black Sea Region, Turkey. Atmósfera; Early release, 2020. Recuperado de https://repositorio.unam.mx/contenidos/4120399

Descripción del recurso

Autor(es)
Yürekli, Kadri; Enginsu, Melih; Erdogan, Muberra
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Regional extreme rainfall estimation in Middle Black Sea Region, Turkey
Fecha
2021-05-04
Resumen
The occurrence probabilities of heavy rainfalls brought about flood events have an essential role in designing water-related structures and water resource management. In many cases, data for analysis are either not available or are insufficient for reliable design of water-related structures. regional frequency analysis is frequently preferred to provide design information at sites with especially inadequate data available. our study implemented l-moment procedures to annual maximum rainfall series from 70 gauging stations in the middle black sea region (mbsr) in turkey to estimate regional rainfall quantiles. The first attempt for regionalization was to evaluate the entire area as an only homogeneous region. The sub-regions were initially defined with the ward’s clustering algorithm due to the presence of discordant sites under a presumption of a single homogeneous region. In compliance with the results of the discordancy and heterogeneity measures, the most promising classification was achieved with 6 clusters (sub-regions). The sub-regions have satisfied the homogeneity condition as “acceptably homogeneous.” the gev and glo distributions in five sub-regions, gno distribution in four sub-regions, and pe3 distribution in three sub-regions were decided to be acceptable as a regional frequency distribution. In comparison, gpa is a candidate distribution in none of six sub-regions.
Tema
Maximum rainfall; l-moment; discordancy; heterogeneity measure; index-storm
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces