1970 - 2017年期间ri雅得地区实际平均降雨量的空间变化分析

Anoud Radhi Thamer Alanazi Anoud Radhi Thamer Alanazi
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摘要

本研究旨在计算Al Majma 'ah (R101-460)、Riyadh工厂(R001-452)、Duruma (R112-470)、Jubaylah (R106-464)、Sudus (R102-461)、Rumah (HU103-954)、Shaqra 'a (R006-457)、Hawtat Sudayr (R005-456)、Al Hariq (R104-453)和Huraymilah (R103-462)站的实际平均日降雨量并分析其统计特征。为了达到研究目的,本研究采用归纳法,运用离散测度(均值、标准差、均值的标准误差、标准差的标准误差),计算年降雨量与年总阴雨日数之比,分析降雨分布的统计特征。空间分析还采用年降雨量、阴雨天数和实际平均日降雨量的同质类。本研究分析了1970—2017年10个雨站的年降雨量和降雨日数的统计特征。该数据用于计算平均实际日降雨量和分析其时空分布变化。确定了年降雨量与降雨日数的最佳相关模型(立方模型)。因此,本研究提出了一些建议,将该研究方法扩展到沙特阿拉伯王国的各个地区,并将其结果与各种干旱和半干旱地区的类似研究结果进行比较。这些研究结果可用于推断气候变化的影响,并利用实际日平均降雨量估算利雅得地区的水分平衡和阴雨天地表水资源,以在各个领域受益,并设计沙特阿拉伯各地区的气候和水文数据库。实施灌溉工程,可以预防洪水风险,利用这些水资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial variance analysis of the actual daily mean rainfall in Riyadh for the period 1970 - 2017: تحليل التباين المكاني للمتوسط اليومي الفعلي للأمطار بمنطقة الرياض للفترة بين عامي 1970 و2017
  This study aims to compute the actual mean daily rainfall and analyze its statistical characteristics at the stations of Al Majma’ah (R101-460), Riyadh factories (R001-452), Duruma (R112-470), Jubaylah (R106-464), Sudus (R102-461), Rumah (HU103-954, Shaqra’a (R006-457), Hawtat Sudayr (R005-456), Al Hariq (R104-453), and Huraymilah (R103-462). To achieve the objectives, this study relied on the inductive approach with analyzing the statistical characteristics of rainfall distribution by applying dispersion measures (mean, standard deviation, standard error of the mean, standard error of standard deviation) and on calculating the ratio between annual rainfall amounts and the total number of rainy days per year. The spatial analysis also uses the homogeneous classes of the annual rainfall, the number of rainy days, and the actual mean daily rainfall. This study reached an analysis of the statistical characteristics of the annual rainfall and the number of rainy days recorded during the period 1970-2017 in a total of 10 rain stations. This data is used in calculating the mean actual daily rainfall and in analyzing the variation of its spatial and temporal distribution. The best model for the correlation (cubic model) between annual rainfall amounts and the number of rainy days was also identified. So, this study presents some recommendations to expand this study method in the various regions of the Kingdom of Saudi Arabia and compare its results with the results of similar studies in various dry and semi-arid regions. These study results can be used in inferring the effects of climate change and employ the actual mean daily of rain in estimating the water balance in Riyadh area and surface water resources during rainy days to benefit from them in various fields and in designing a climatic and hydrological database in the various regions of Saudi Arabia. The implementation of irrigation projects to prevent flood risks can be used these water resources.
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