STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN

Inputs in a hydrologic system are random characteristics. This randomness is due to precipitation which is random. This randomness of precipitation must be stated with a statistical distribution function. Determining of the probability distribution function will be easy by statistical decision makin...

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Main Author: Reşat ACAR
Format: Article
Language:English
Published: Pamukkale University 2003-03-01
Series:Pamukkale University Journal of Engineering Sciences
Subjects:
Online Access:http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089764
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spelling doaj-1721828bc8e54217953d572000904c172020-11-25T00:19:45ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812003-03-01933133175000083832STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASINReşat ACARInputs in a hydrologic system are random characteristics. This randomness is due to precipitation which is random. This randomness of precipitation must be stated with a statistical distribution function. Determining of the probability distribution function will be easy by statistical decision making. In this study, it was determined the best fit probability distribution function of annual precipitation records of Çoruh hydrologic basin. There are 34 raingauge stations distributed fairly uniform in the basin. The best fit of the model investigated both graphically and using Kolmogorov–Smirnov, Chi-Square which are nonparametric tests. While set of the data obtained from some stations have best fitted to normal distribution well, whereas some of them have fitted to lognormal distribution. Some of the rainy stations have fitted to normal distribution, whereas some dry stations have fitted lognormal distribution.http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089764Yağış, Frekans analizi, Normal dağılım
collection DOAJ
language English
format Article
sources DOAJ
author Reşat ACAR
spellingShingle Reşat ACAR
STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
Pamukkale University Journal of Engineering Sciences
Yağış, Frekans analizi, Normal dağılım
author_facet Reşat ACAR
author_sort Reşat ACAR
title STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
title_short STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
title_full STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
title_fullStr STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
title_full_unstemmed STATISTICAL MODELLING OF ANNUAL PRECIPITATION RECORDS IN ÇORUH HYDROLOGIC BASIN
title_sort statistical modelling of annual precipitation records in çoruh hydrologic basin
publisher Pamukkale University
series Pamukkale University Journal of Engineering Sciences
issn 1300-7009
2147-5881
publishDate 2003-03-01
description Inputs in a hydrologic system are random characteristics. This randomness is due to precipitation which is random. This randomness of precipitation must be stated with a statistical distribution function. Determining of the probability distribution function will be easy by statistical decision making. In this study, it was determined the best fit probability distribution function of annual precipitation records of Çoruh hydrologic basin. There are 34 raingauge stations distributed fairly uniform in the basin. The best fit of the model investigated both graphically and using Kolmogorov–Smirnov, Chi-Square which are nonparametric tests. While set of the data obtained from some stations have best fitted to normal distribution well, whereas some of them have fitted to lognormal distribution. Some of the rainy stations have fitted to normal distribution, whereas some dry stations have fitted lognormal distribution.
topic Yağış, Frekans analizi, Normal dağılım
url http://dergipark.ulakbim.gov.tr/pajes/article/view/5000089764
work_keys_str_mv AT resatacar statisticalmodellingofannualprecipitationrecordsincoruhhydrologicbasin
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