Assessment of the Regionalization of Precipitation in Two Canadian Climate Regions: A Fuzzy Clustering Approach
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چکیده
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ناحیه‌بندی آب و هوایی استان اصفهان با استفاده از روش‌های نوین آماری
Understanding the climatic characteristics of a region plays a key role in sustainable development. The Esfahan province is extensive this factor has caused it variety climates. The regionalization climate of Esfahan has conducts with new methods of regionalization such as factor analysis and cluster analysis. The 25 variables have been selected from 12 stations for this purpose. The investigat...
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Groundwater vulnerability assessment would be one of the effective informative methods to provide a basis for determining source of pollution. Vulnerability maps are employed as an important solution in order to handle entrance of pollution into the aquifers. A common way to develop groundwater vulnerability map is DRASTIC. Meanwhile, application of the method is not easy for any aquifer due to...
متن کاملاستفاده از نگرش تحلیل مؤلفه‌های اصلی برای وزن‌دهی ویژگی‌های آماری، اقلیمی و جغرافیایی حداکثر بارندگی 24 ساعته و تحلیل مکانی خوشه‌بندی (مطالعه موردی: حوضه دریاچه ارومیه)
Regionalization is one of the useful tools for carrying out effective analyses in regions lacking data or with having only incomplete data. One of the regionalization methods widely used in the hydrological studies is the clustering approach. Moreover, another effective factor on clustering is the degree of importance and participation level for each of these attributes. In this study, it was t...
متن کاملتحلیل فراوانی منطقه ای سیلاب با استفاده از تحلیل خوشه ای ترکیبی و گشتاور های خطی
Recent studies show that cluster analysis methods are one of the most useful techniques of regionalization of watersheds for regional flood frequency analysis. In this study combination of Ward and K-means clustering algorithms is used for regionalization of gauging stations in Sefidrood and Aras watersheds in order to use advantages and decrease influences of disadvantages of two main categori...
متن کاملاستفاده از داده‌های اقلیمی جهانی برای بازسازی خلأهای آماری داده‌های دما و بارش (مطالعۀ موردی: ایستگاه‌های حوزۀ آبخیز خانمیرزا)
Introduction: Due to importance of data quality, issues relating to filling the missing data has found a great deal of interest. Regeneration methods for missing data can be classified into two kinds of classical and modern categories. Application of statistical methods such as relationship with nearby stations and approaches on the base of hydrological, climatological or physiographical simila...
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