Statistical Distributions of Precipitation Data in Antalya, Turkey

Halil Ibrahim Burgan
{"title":"Statistical Distributions of Precipitation Data in Antalya, Turkey","authors":"Halil Ibrahim Burgan","doi":"10.38027/iccaua2021243n4","DOIUrl":null,"url":null,"abstract":"The estimation of precipitation data is very important while designing buildings in cities. Because of fast response of rainfall-runoff in urban areas, the stormwater infrastructure systems are developed. Especially in flood prone areas which have flash flood risks, the total precipitation, its return period and its duration should be known. For this aim, statistical distributions of long-term observed precipitation data can be determined. In this study, Antalya district which is near the Mediterranean Sea is selected as study area. The city is very crowded touristic place with more than 2.5 million local people. Antalya is one of the warmest regions in Turkey with an average daily high temperature of 25 degrees centigrade. In 6 months, the average temperatures are over 25 degrees. In the study, the best statistical distributions of precipitation data from the gauging stations near Antalya are investigated. Kolmogorov-Smirnov test is applied to select the best statistical distribution.","PeriodicalId":424009,"journal":{"name":"Proceedings Article","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Article","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38027/iccaua2021243n4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The estimation of precipitation data is very important while designing buildings in cities. Because of fast response of rainfall-runoff in urban areas, the stormwater infrastructure systems are developed. Especially in flood prone areas which have flash flood risks, the total precipitation, its return period and its duration should be known. For this aim, statistical distributions of long-term observed precipitation data can be determined. In this study, Antalya district which is near the Mediterranean Sea is selected as study area. The city is very crowded touristic place with more than 2.5 million local people. Antalya is one of the warmest regions in Turkey with an average daily high temperature of 25 degrees centigrade. In 6 months, the average temperatures are over 25 degrees. In the study, the best statistical distributions of precipitation data from the gauging stations near Antalya are investigated. Kolmogorov-Smirnov test is applied to select the best statistical distribution.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
土耳其安塔利亚降水资料的统计分布
在城市建筑设计中,降水数据的估计是非常重要的。由于城市降雨径流的快速响应,雨水基础设施系统得到了发展。特别是在有山洪暴发风险的洪涝易发地区,应了解总降水量、汛期和持续时间。为此,可以确定长期观测降水资料的统计分布。本研究选择靠近地中海的安塔利亚地区作为研究区域。这个城市是一个非常拥挤的旅游胜地,当地人口超过250万。安塔利亚是土耳其最温暖的地区之一,平均每日最高气温为25摄氏度。在6个月里,平均气温超过25度。研究了安塔利亚附近各测量站降水资料的最佳统计分布。采用Kolmogorov-Smirnov检验选择最佳统计分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Environmental and Cost Effects of Stabilized Laterite-Tyre Composite in Buildings The Roles of Urban Park’s Elements in Creating Beautiful Place for The Visually Impaired The Influence of Diverse Building Height and Building Coverage Ratio on Outdoor Thermal Performance in Hot Climates: A Review Measuring Housing Affordability Using Residual Income Method for Million-plus Cities in India Assessment of the Environmental Quality through Users' Perception in Guelma city, Algeria
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1