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:: Volume 1, Issue 2 (10-2007) ::
jwmseir 2007, 1(2): 21-29 Back to browse issues page
Clustering Climate Signals based on Precipitation Variation (Case Study of Sistan and Balouchestan Province Precipitation Forecasting)
Banafshe Zahraie , Abbas Roozbahany
University of Tehran
Abstract:   (13233 Views)
Today, studying climatic variations with respect to different climate variables such as precipitation, evaporation, temperature, and air pressure in various parts of the world is important. This topic has received more attention especially in areas with intense wet and dry periods for water resources and crisis management. In Southeast of Iran, especially in Sistan & Baluchestan Province, very intense climatic variations have been observed in recent years. Various methods for clustering climate signals have been developed, which are suitable for modeling of climate variations in such areas. In this paper, a new method for clustering satellite information of Sea Surface Temperature (SST) using Genetic Algorithm Clustering is presented. Different parts of this research are based on selection of best model framework, objective function, length of chromosomes and mutation and crossover operators. This model tries to find the relation between SST data and above and below normal precipitation. 20 rain gauges in Sistan & Baluchestan Province have been considered in the case study. Using the Genetic Algorithm for mapping, the relation between precipitation in various seasons and temporal-spatial clustering are innovative aspects of this paper. The results show the potential of using the clustering method for forecasting the seasonal behavior of precipitation in Southeast of Iran.
Keywords: Clustering, Climate Signals, Genetic Algorithm, Sea Surface Temperature (SST).
Full-Text [PDF 283 kb]   (1651 Downloads)    
Type of Study: Research | Subject: Special
Received: 2012/10/28 | Accepted: 2014/05/25 | Published: 2014/05/25
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Zahraie B, Roozbahany A. Clustering Climate Signals based on Precipitation Variation (Case Study of Sistan and Balouchestan Province Precipitation Forecasting). jwmseir. 2007; 1 (2) :21-29
URL: http://jwmsei.ir/article-1-37-en.html

Volume 1, Issue 2 (10-2007) Back to browse issues page
مجله علوم ومهندسی آبخیزداری ایران Iranian Journal of Watershed Management Science and Engineering
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