Statistical Distributions of Precipitation Data in Antalya, Turkey

Halil Ibrahim Burgan
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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.
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。
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