نتایج جستجو برای: Rainfall spatial distribution

تعداد نتایج: 939674  

The disparate spatial and temporal distribution of rainfall in the country and climate variation sometimes leads to rivers flooding and large flood events, which are remarkable for life and financial losses. Flood control design requires accurate knowledge of the flood generator basin, especially smaller ones, in large basins. Determining the potential of flood generation to specify the...

B. Saghafian, H. Taheri Shahraeeni and J. Ghayoomian, S. Rahimi Bandarabadi,

Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of &#10suitable methods may le...

B. Saghafian, H. Taheri Shahraeeni and J. Ghayoomian, S. Rahimi Bandarabadi,

Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of suitable methods may lead...

In the present study, the main aim was the spatial evaluation summer rainfall of northwest of Iran based on30 stations in northwest of Iran during 30 years of statistical period (1985-2014). An attempt, using geo-statistical modeling by ordinary least squares (OLS) and geographically weighted regression (GWR) procedures, was also made. The results represented that the GWR model with higher S2, ...

بذر افشان, جواد, قمقامی, مهدی, قهرمان, نوذر,

Multi site modeling of rainfall is one of the most important issues in environmental sciences especially in watershed management. For this purpose, different statistical models have been developed which involve spatial approaches in simulation and modeling of daily rainfall values. The hidden Markov is one of the multi-site daily rainfall models which in addition to simulation of daily rainfall...

2008
Xiaogu Zheng Richard W. Katz

[1] A new approach for modeling the spatial dependence in rainfall occurrence is proposed. Being motivated by a technique for coupling Markov chains in interacting particle systems, it differs from existing approaches that only attempt to reproduce pairwise spatial correlations of rainfall occurrences or apply complex nonlinear models. It has the advantage of directly modeling the joint depende...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علوم کشاورزی و منابع طبیعی گرگان - دانشکده جنگلداری و مهندسی چوب و کاغذ 1391

درک الگوی توزیع مکانی ماکروفون خاک بدلیل اثرات آن روی فرآیندهای اکوسیستم بسیار مهم است. لیکن اطلاعات کمی در این خصوص وجود دارد. درمورد تنوع زیستی ارگانیسم ها وجانداران خاکزی که ازاجزای مهم وکلیدی درهرسیستم اکولوژیکی هستند و در بهبود حاصلخیزی خاک و تولیدات زمین وپایداری اکوسیستم ها(ازطریق فرآیندهای بیولوژیک)نقش عمده دارند تحقیقات کمی انجام شده است. این تحقیق جهت بررسی الگوی مکانی پارامترهای تنوع...

 Recognition of spatial patterns of drought plays an important role in monitoring, predicting, confronting, reducing vulnerability, and increasing adaptation to the hazard. The aim of this study is to identify the spatial distribution and analyze the annual, seasonal, and monthly spatial patterns of drought intensities in Iran. For this purpose, drought intensities were extracted from the month...

Journal: :تحقیقات جغرافیایی 0
اسماعیل رشیدی احمداباد دانشگاه اصفهان

this study is a step toward identifying spatial and temporal patterns of precipitation on the territory of iraq. the purpose of this analysis, the data related to the network database aphrodite a 57 -year period (2007-1951), was used. the data matrix consists of three cell location, the original data (rainfall) and the calendar matrix .surfer was drawn up. also analyzed for the first time and t...

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