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Investigation of trends, temporal changes in intensity-duration-frequency (IDF) curves and extreme rainfall events clustering at regional scale using 5 min rainfall data
ID
Bezak, Nejc
(
Avtor
),
ID
Mikoš, Matjaž
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(2,42 MB)
MD5: 1C92F6C0320532277DEE0869A92D0CD1
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2073-4441/11/10/2167
Galerija slik
Izvleček
High-frequency rainfall data is needed in different practical hydrologic applications, such as the construction of the intensity-duration-frequency curves (IDF). This paper presents an investigation of trends (station-wise and regional) for several rainfall durations that were constructed based on the 5 min rainfall data. Moreover, changes in IDF results for two 22-year sub-samples were also analyzed. Additionally, changes in extreme events clustering at the regional scale were also analyzed. Ten rainfall stations (44 years of data 1975–2018) located in Slovenia (central EU, approx. 20,000 km$^2$) were used in this study. Results indicate that no clear pattern in the detected trends can be found based on the analyzed stations. However, all the statistically significant trends at the significance level of 0.05 for the 5 min rainfall data were negative. Moreover, regional trends for this duration were also statistically significant. The changes in the design rainfall events between two equal sub-samples (1975–1996, 1997–2018) were between −30% and 60%. The investigation of changes in extreme rainfall event clustering indicated that extreme 5, 30, and 60 min events could more frequently occur a few days earlier in spring or summer compared to the past period. On the other hand, longer duration events (i.e., 360 and 720 min) tend to more frequently occur a few days later in autumn compared to the past. In most cases, changes are not statistically significant.
Jezik:
Angleški jezik
Ključne besede:
trends
,
high-frequency data
,
IDF
,
clustering
,
5 min data
,
regional scale
,
extreme events
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FGG - Fakulteta za gradbeništvo in geodezijo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2019
Št. strani:
13 str.
Številčenje:
Vol. 11, iss. 10, art. 2167
PID:
20.500.12556/RUL-133141
UDK:
626/627
ISSN pri članku:
2073-4441
DOI:
10.3390/w11102167
COBISS.SI-ID:
8933473
Datum objave v RUL:
12.11.2021
Število ogledov:
933
Število prenosov:
204
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Water
Skrajšan naslov:
Water
Založnik:
Molecular Diversity Preservation International - MDPI
ISSN:
2073-4441
COBISS.SI-ID:
36731653
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
17.10.2019
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
trendi
,
5-minutni podatki
,
ITP krivulje
,
grupiranje dogodkov
,
regionalni nivo
,
ekstremni dogodki
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0180
Naslov:
Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij
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