Spatial and Temporal Trend Analysis of Temperature and Precipitation in Iran

  • سال انتشار: 1393
  • محل انتشار: فصلنامه اکوپرشیا، دوره: 2، شماره: 4
  • کد COI اختصاصی: JR_ECOPER-2-4_001
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 93
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نویسندگان

Vahid Feizi

PhD Candidate in Geography, Climatology, Tehran University, Iran

Maryam Mollashahi

Assistant Professor of Forestry in Arid Regions, Faculty of Desert Study, Semnan University, Iran

Manochehr Farajzadeh

Associate Professor in Geography, Climatology, Tarbiat Modarres University, Iran

Ghasem Azizi

Associate Professor in Geography, Climatology, Tehran University, Iran

چکیده

Analysis of the spatial and temporal trends of precipitation and temperature are pertinent for future development and sustainable management of water resources in a given region. In this paper, we present a study concerning the climatic behavior of two principal observables Variables, viz. monthly temperature (maximum and minimum) and mean precipitations obtained from the measurements carried out in ۶۰ Iranian meteorological stations for ۴۰ years from ۱۹۶۹ to ۲۰۰۸. The Mann-Kendall test was used to detect the significant trends.Results showed that during summer and autumn, the precipitation had a negative trend (at ۵% significant level) in the south-eastern parts of Iran and this trend is less during spring, but no special trend was observed in winter. The minimum and the maximum temperatures did not have any particular trend in winter. Spring was accompanied by an increase in positive trend in the maximum temperatures in the south-west and north-east, while the minimum temperature only limited in the south-west parts. Positive and negative trends of the minimum temperature were very dispersed during the summer. The maximum temperatures had a negative trend in the north-west and no positive trend was observed at ۵% significant level. During autumn, the temperatures indices had positive and negative trends with a wide range of dispersion.

کلیدواژه ها

Climate Change, Climatic variables, Iran, Mann-Kendall, Spatial distribution

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