Trend analysis of temperature parameters in Iran

Saboohi, R.; Soltani, Sedigheh; Khodagholi, Morteza

doi:10.1007/s00704-012-0590-5

Cited by 92 publications

(34 citation statements)

References 28 publications

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“…The climate is mainly arid and semi-arid, except in the northern coastal areas and western parts. The area coverage of different types of climate in Iran is 35.5% hyper-arid, 29.2% arid, 20.1% semi-arid, 5.0% Mediterranean and 10.0% wet (Saboohi et al, 2012). The average annual precipitation in Iran is about 251 mm, which is less than 1/3 of the average of the world (831 mm).…”

Section: Study Areamentioning

confidence: 99%

“…Wind erosion stripes are obvious in the Landsat 8 images of Sistan Basin, corresponding to the fact that this area suffers the most persistent strong near-surface winds lasting at least 4 months per year and occasionally reaching more than 28 m/s (McMahon, 1906;Saboohi et al, 2012). Generally, the frontal winds in Sistan Basin can be categorized into two major classes, namely: ordinary front winds and hurricane front winds.…”

Section: Sistan Basinmentioning

confidence: 99%

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Identification of sand and dust storm source areas in Iran

Jian²,

et al. 2015

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Sand and dust storms (SDS) are common phenomena in arid and semi-arid areas. In recent years, SDS frequencies and intensities have increased significantly in Iran. A research on SDS sources is important for understanding the mechanisms of dust generation and assessing its socio-economic and environmental impacts. In this paper, we developed a new approach to identify SDS source areas in Iran using a combination of nine related datasets, namely drought events, temperature, precipitation, location of sandy soils, SDS frequency, human-induced soil degradation (HISD), human influence index (HII), rain use efficiency (RUE) and net primary productivity (NPP) loss. To identify SDS source areas, we firstly normalized these datasets under uniform criteria including layer reprojection using Lambert conformal conic projection, data conversion from shapefile to raster, Min-Max Normalization with data range from 0 to 1, and data interpolation by Kriging and images resampling (resolution of 1 km). After that, a score map for the possibility of SDS sources was generated through overlaying multiple datasets under average weight allocation criterion, in which each item obtained weight equally. In the score map, the higher the score, the more possible a specific area could be regarded as SDS source area. Exceptions mostly came from large cities, like Tehran and Isfahan. As a result, final SDS source areas were mapped out, and Al-Howizeh/Al-Azim marshes and Sistan Basin were identified as main SDS source areas in Iran. The SDS source area in Al-Howizeh/Al-Azim marshes still keeps expanding. In addition, Al-Howizeh/Al-Azim marshes are now suffering rapid land degradation due to natural and human-induced factors and might totally vanish in the near future. Sistan Basin also demonstrates the impacts of soil degradation and wind erosion. With appropriate intensity, duration, wind speed and altitude of the dust storms, sand particles uplifting from this area might have developed into extreme dust storms, especially during the summer.Keywords: sand and dust storm; weight allocation criterion; Kriging interpolation; score map; Al-Howizeh/Al-Azim marshes; Sistan Basin Citation: CAO Hui, LIU Jian, WANG Guizhou, YANG Guang, LUO Lei. 2015. Identification of sand and dust storm source areas in

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Section: Study Areamentioning

confidence: 99%

Section: Sistan Basinmentioning

confidence: 99%

Identification of sand and dust storm source areas in Iran

Jian²,

et al. 2015

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“…Applying the MK test to temperature readings from 80 spatially-distributed weather stations in Sicily, Italy, Viola et al (2014) found there to be a general warming trend in Sicily over the period of 1924 to 2006. Studying temperature parameters for 35 synoptic stations in Iran using an MK test revealed that most of the stations, particularly those in the eastern and western parts of the country showed significant positive trends, especially in the summer (Saboohi et al 2012). Applying the MK test and wavelet transforms to a high resolution air temperature gridded data file for a period from 1956 to 2010, Araghi et al (2015 showed that all regions of Iran showed positive temperature trends over this period, and that these were particularly strong in the warmer seasons.…”

Section: Introductionmentioning

confidence: 98%

“…Given the effects of extreme temperatures on agriculture, ecosystems, human society, and other biological systems, especially in arid and semi-arid regions prone to water crises, this study analyzed the trend in the number of days with extreme temperatures occurring in Iran over the past five decades. It must be noted that most of the previous studies for temperature trends in Iran have focused on monthly (e.g., average, maximum, or minimum) temperatures (Tabari and Hosseinzadeh Talaee 2011;Tabari and Talaee 2011;Saboohi et al 2012;Kousari et al 2013), while this study is focused on extreme daily temperatures with specified criteria (e.g., more than 30°C and less than 0°C). These extreme thermal data are very important factors in ecology, agriculture, and also in some hydrological applications and processes.…”

Section: Introductionmentioning

confidence: 98%

Detection of trends in days with extreme temperatures in Iran from 1961 to 2010

Araghi

Baygi

Adamowski

2015

Theor Appl Climatol

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Human health and comfort, crop productivity, water resource availability, as well as other critical hydrological, climatological, and ecological parameters are heavily influenced by trends in daily temperature maxima and minima (T dmax , T dmin , respectively). Using Mann-Kendall and sequential Mann-Kendall tests, trends in the number of days when T dmax ≥30°C or T dmin ≤0°C, over the period of 1961 to 2010, were examined for 30 synoptic meteorological stations in Iran. For 67 % of stations, days when T dmin ≤0°C showed a significant negative trend, while only 40 % of stations showed a significant positive trend in days when T dmax ≥ 30°C. The upward trend in T dmax became significant between 1967 and 1975, according to the station, while the downward trend in T dmin became significant between 1962 and 1974 for the same stations. Changes in precipitation type across most parts of the country show a high correlation with these temperature trends, especially with the negative trend in T dmin . This suggests that future climatological and hydrological alterations within the country, along with ensuing climatic issues (e.g., change in precipitation, drought, etc.) will require a great deal more attention.

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“…Shiraz is located at an altitude of 1484 m above sea level and its climate is semi-arid, with mild winters and warm summers (Saboohi et al, 2012). The studied dogs were presented to Veterinary Hospital of Shiraz University, between December 2014 and September 2015, mostly for regular vaccination.…”

Section: Area Of Study and Sample Populationmentioning

confidence: 99%

Serological evidence of Coxiella burnetii infection among companion dogs in Fars Province, South Iran

Esmailnejad¹,

Hasiri²

2017

BJVM

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Coxiella burnetii is an important zoonosis at a global scale. The epidemiological role of dogs in transmission of Q fever has recently been demonstrated, but there is still a dearth of information on the subject. The aim of present study was to evaluate the occurrence and seroprevalence of Coxiella burnetii infection among companion dogs population in Fars province, South Iran. Blood samples were collected from 181 asymptomatic dogs, mostly referred to Veterinary Hospital of Shiraz University for regular vaccination. The IgG antibody detection against C. burnetii was made by indirect Enzyme-linked Immunosorbent Assay (ELISA), employing C. burnetii phase I and II antigens. A logistic regression model was developed to analyse multiple risk factors associated with seropositivity. Specific antibodies against C. burnetii were detected in 14 (7.7%) cases, 12 with S/P% of 20-50% and 2 with S/P% greater than 80%. Prevalence was significantly higher in adult dogs above 5 years (18.18 %; 2 out of 11) compared with dogs between 1 and 5 years (7.86 %; 7 out of 89) and less than 1 year (6.17%; 5 out of 81) (P=0.043). Prevalence was also higher in male dogs (11.21 %; 12 out of 107) than in female (2.7 %; 2 out of 74) (P=0.035). Breed, type of housing, type of food and exposure to other farm animals showed no significant differences between positive and negative cases (P>0.05). The results of this study showed the presence of C. burnetii infection among the companion dogs population in Iran, which could be a public health concern for humans. In areas like Iran, where human cases of Q fever are not common or remain unreported, the public health implications of Q fever seroprevalence in dogs are quite significant.

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Trend analysis of temperature parameters in Iran

Cited by 92 publications

References 28 publications

Identification of sand and dust storm source areas in Iran

Identification of sand and dust storm source areas in Iran

Detection of trends in days with extreme temperatures in Iran from 1961 to 2010

Serological evidence of Coxiella burnetii infection among companion dogs in Fars Province, South Iran

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