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Focus on relative humidity trend in Iran and its relationship with temperature changes during 1960–2005

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  • Masoud Noshadi
  • Hossein Ahani

Abstract

In this research, the mean relative humidity (RH) trend was investigated in the monthly, seasonal and annual timescales during 1960–2005 in 32 synoptic meteorological stations. The Mann–Kendall test after the removal of the significant lag-1 serial correlation effect from the RH time series by pre-whitening was used to determine significant trends. Sen’s slope estimator was used to determine the median slope of positive or negative RH trends in seasonal and annual timescales. Also, in order to facilitate trend analysis and exploring in datasets, 10-year moving average low-pass filter was applied on mean annual normalized RH. Furthermore, smoothed time series by the mentioned filter were classified in four clusters and then they were mapped to show the spatial distribution of trend patterns in Iran. Results showed both significant downward and upward trends, but the number of negative trends was more than positive ones. In general, the stations located in arid central and eastern parts of country had more negative trends. Results of the Sen’s slope estimator showed that in annual timescale, Gorgan synoptic station had the most increasing slope by (+) 2 % per decade, while the most negative slope was detected in Bam by (−) 2.79 % per decade. Also, the analysis of smoothed time series of RH and their relationship with smoothed temperatures showed a strong inverse relationship particularly after 1995. It can be concluded that alongside the increasing of temperature in many parts of Iran, lack of sufficient water vapor has led to decreasing trend of RH in the country. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Masoud Noshadi & Hossein Ahani, 2015. "Focus on relative humidity trend in Iran and its relationship with temperature changes during 1960–2005," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1451-1469, December.
    • Handle: RePEc:spr:endesu:v:17:y:2015:i:6:p:1451-1469
    DOI: 10.1007/s10668-014-9615-9
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    References listed on IDEAS

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    1. Samer AlSadi & Tamer Khatib, 2012. "Modeling of Relative Humidity Using Artificial Neural Network," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 2(2), pages 81-86.
    2. Espadafor, M. & Lorite, I.J. & Gavilán, P. & Berengena, J., 2011. "An analysis of the tendency of reference evapotranspiration estimates and other climate variables during the last 45 years in Southern Spain," Agricultural Water Management, Elsevier, vol. 98(6), pages 1045-1061, April.
    3. Luxin Zhai & Qi Feng, 2009. "Spatial and temporal pattern of precipitation and drought in Gansu Province, Northwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 49(1), pages 1-24, April.
    4. Samer AlSadi & Tamer Khatib, 2012. "Modeling of Relative Humidity Using Artificial Neural Network," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 2(2), pages 81-86, February.
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    Cited by:

    1. Sahar Hadi Pour & Ahmad Khairi Abd Wahab & Shamsuddin Shahid & Xiaojun Wang, 2019. "Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran," Sustainability, MDPI, vol. 11(8), pages 1-24, April.

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