Defining rainfall intensity clusters in Turkey by using the fuzzy c-means algorithm
Turkey has seven traditionally accepted climatic zones that are defined primarily by maritime and topographic influences. Across these zones, the annual amount of rainfall, including its intensity and its seasonal distribution, vary considerably. These variations, which impact on both urban and rura...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001108809/Details |
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| Matična publikacija: |
Geofizika (Online) 37 (2020), 2 ; str. 181-195 |
| Glavni autori: | Zeybekoğlu, Utku (Author), Keskin, Asli Ülke |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15233/gfz.2020.37.8 Hrčak |
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| 003 | HR-ZaNSK | ||
| 005 | 20210915084434.0 | ||
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| 008 | 210730s2020 ci d |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.15233/gfz.2020.37.8 | |
| 035 | |a (HR-ZaNSK)001108809 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b eng |b hrv | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 55 |2 2011 | |
| 100 | 1 | |a Zeybekoğlu, Utku |4 aut |9 HR-ZaNSK | |
| 245 | 1 | 0 | |a Defining rainfall intensity clusters in Turkey by using the fuzzy c-means algorithm |h [Elektronička građa] / |c Utku Zeybekoğlu, Asli Ülke Keskin. |
| 300 | |b Graf. prikazi. | ||
| 504 | |a Bibliografija: str. 192-194. | ||
| 504 | |a Summary ; Sažetak. | ||
| 520 | |a Turkey has seven traditionally accepted climatic zones that are defined primarily by maritime and topographic influences. Across these zones, the annual amount of rainfall, including its intensity and its seasonal distribution, vary considerably. These variations, which impact on both urban and rural communities, including the occurrence of water shortages and flash flooding events, are increasing in both frequency and magnitude due to global warming and climate change. Several types of climate occur in Turkey where climate zones have been defined with various methodologies. To better understand rainfall intensity patterns across Turkey, this study used the Fuzzy C-Means (FCM) algorithm to define their spatial distribution. In the first stage, the annual maximum rainfall intensity records for periods ranging from 30 to 78 years were obtained from 95 stations operated by the Turkish State Meteorological Service, and the longitude, latitude and altitude data for the stations were compiled for cluster analysis. Secondly, all rainfall intensities and geographical values were normalized, and in the third stage, the FCM algorithm was applied. The comparison of annual maximum rainfall intensities revealed five clusters. Four clusters were identified as discrete zones and one was identified as a transitional zone. Weather stations located in different geographical regions sometimes fell into the same clusters. In other words, rainfall events of similar intensity can occur in different climatic zones. This study, which brought a different perspective to clustering studies, showed that rainfall intensity values can be successfully analyzed at a national scale with the FCM technique. | ||
| 520 | |a Turska ima sedam tradicionalno prihvaćenih klimatskih zona koje su definirane prvenstveno maritimnim i topografskim utjecajima. Diljem tih zona godišnja količina oborine, uključujući njezin intenzitet i sezonsku razdiobu, znatno se razlikuje. Te varijacije, koje utječu i na urbane i na ruralne ljudske zajednice, uključujući pojavu nestašice vode i poplave, povećavaju se i u učestalosti i magnitudi zbog globalnog zatopljenja i klimatskih promjena. U Turskoj se pojavljuje nekoliko tipova klime, pri čemu su klimatske zone definirane različitim metodologijama. Kako bi bolje razumjeli obrasce intenziteta oborine diljem Turske, u ovoj studiji korišten je algoritam „neizrazitih klasterskih srednjaka“ („fuzzy c-means“ – FCM) s ciljem definiranja njihove prostorne razdiobe. U prvom koraku, korišteni su zapisi godišnjih maksimalnih intenziteta oborine za razdoblja u rasponu od 30 do 78 godina s 95 postaja kojima upravlja Turska državna meteorološka služba, a podaci o zemljopisnoj dužini, zemljopisnoj širini i nadmorskoj visini postaja dodani su radi analize klastera. U drugom koraku normalizirani su svi intenziteti oborine i zemljopisni podaci, a u trećem je primijenjen FCM algoritam. Usporedba godišnjih maksimalnih intenziteta oborine definirala je postoojanje pet klastera. Četiri klastera identificirana su kao diskretne zone, a jedan je identificiran kao prijelazna zona. Meteorološke postaje koje pripadaju različitim zemljopisnim područjima ponekad pripadaju istom klasteru. Drugim riječima, oborinski događaji sličnog intenziteta mogu se pojaviti u različitim klimatskim zonama. Ova studija pokazala je da se vrijednosti intenziteta oborine na nacionalnoj razini mogu uspješno analizirati FCM tehnikom, doprinoseći drukčijem pogledu na studije koje koriste analizu klastera. | ||
| 653 | 0 | |a Oborine |a Intenzitet oborina |a Algoritmi |a Klasterska analiza |a Klima | |
| 653 | 5 | |a Turska | |
| 700 | 1 | |a Keskin, Asli Ülke |4 aut |9 HR-ZaNSK | |
| 773 | 0 | |t Geofizika (Online) |x 1846-6346 |g 37 (2020), 2 ; str. 181-195 |w nsk.(HR-ZaNSK)000647968 | |
| 981 | |b Be2020 |b B03/20 | ||
| 998 | |b dalo2109 | ||
| 856 | 4 | 0 | |u https://doi.org/10.15233/gfz.2020.37.8 |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/248685 |y Hrčak |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |