Analysis of climate hazards in relation to urban designing in Iran

Alijani, S.; Alijani, Bohloul

doi:10.5194/asr-6-173-2011

Cited by 6 publications

(19 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis of intensity and frequency of extreme events is a very important step in the process of planning and designing the urban areas especially in the semiarid climate of Iran. In these areas climate is very fragile and a sudden change may cause destructive outcomes [48]. Beside the more frequent heat waves, the rapid urbanization growth, and the related UHI will also lead to higher temperature in the future.…”

Section: Case Study Areamentioning

confidence: 99%

Mitigating the Urban Heat Island Effect in Megacity Tehran

Sodoudi

Shahmohamadi²,

Vollack

et al. 2014

Advances in Meteorology

View full text Add to dashboard Cite

Cities demonstrate higher nocturnal temperatures than surrounding rural areas, which is called “urban heat island” (UHI) effect. Climate change projections also indicate increase in the frequency and intensity of heat waves, which will intensify the UHI effect. As megacity Tehran is affected by severe heatwaves in summer, this study investigates its UHI characteristics and suggests some feasible mitigation strategies in order to reduce the air temperature and save energy. Temperature monitoring in Tehran shows clear evidence of the occurrence of the UHI effect, with a peak in July, where the urban area is circa 6 K warmer than the surrounding areas. The mobile measurements show a park cool island of 6-7 K in 2 central parks, which is also confirmed by satellite images. The effectiveness of three UHI mitigation strategies high albedo material (HAM), greenery on the surface and on the roofs (VEG), and a combination of them (HYBRID) has been studied using simulation with the microscale model ENVI-met. All three strategies show higher cooling effect in the daytime. The average nocturnal cooling effect of VEG and HYBRID (0.92, 1.10 K) is much higher than HAM (0.16 K), although high-density trees show a negative effect on nocturnal cooling.

show abstract

Section: Case Study Areamentioning

confidence: 99%

Mitigating the Urban Heat Island Effect in Megacity Tehran

Sodoudi

Shahmohamadi²,

Vollack

et al. 2014

Advances in Meteorology

View full text Add to dashboard Cite

show abstract

“…The advance of the westerlies, which carry the moisture of the Mediterranean Sea, commences from the autumn onset, covering all of Iran at the winter onset (Figure 2). The westerlies include dynamic instability (e.g., short waves in the upper troposphere and cyclones on the lower tropospheric level), which cause precipitation in most parts of Iran (Alijani, 2016). The polar continental (CP) air mass carried the cold air from polar and sub‐polar regions into Iran (Figure 1a).…”

Section: Methodsmentioning

confidence: 99%

“…The high pressure of the Black Sea can also lead to an identical mechanism (Masoodian, 2011; Mofidi et al, 2014; Moradi, 2004). However, the cyclones in the south of Iran produce more intense precipitation due to access to the abundant moisture of the Persian Gulf and the Sea of Oman, while cyclones in the north of Iran produce milder rain because they are far from the water bodies (Alijani, 2016). Therefore, water bodies play an essential role in the tempo‐spatial changes of Iran's precipitation.…”

Section: Methodsmentioning

confidence: 99%

“…In other words, Iran's precipitation climatology is influenced by macro (external) and local (internal) climatic factors. For instance, in addition to widespread precipitation, which takes place simultaneously in all regions of the country, one of the significant events on the Iranian coast of the Caspian Sea, northeast of Iran, and especially at the junction of two mountain systems (Alborz and Zagros) in the northwest of Iran is the dominance of the convective precipitation in spring and summer (Alijani, 2016; Masoodian, 2011).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Iran's rainy season and its relation to some spatial features

Asakereh

Masoodian

Tarkarani

2023

Intl Journal of Climatology

View full text Add to dashboard Cite

Identifying the rainy season (RS) is significantly important from the meteorological, hydrological and socio‐economic points of view. In the current study, the climatology of Iran's RS was identified based on developing a definition by mainly relying on examining daily rainfall observations from 2188 stations in the period of January 1, 1971–December 31, 2015 (45 years). Accordingly, it was revealed that at most two RSs could be distinguished in Iran; and there was a widespread rainy season (WRS) covering the entire country in three consecutive months (phases). In the northwest of the country, the Alborz Mountain chains, and in the southeast of Iran, the RS was mainly interrupted by a dry season. Therefore, two RSs occurred in these areas (widespread and regional rainy seasons [RRS]). The four withdrawal phases of the RS were relatively different on the regional scales. However, they generally showed a relation with latitudes. Unlike the onset date of phases of the RS, these phases did not occur at the same intervals. The diversity of spatial factors in Iran (including geographic coordination, topographic features and sea surface temperature of surrounding seas) caused the spatial diversity of the timing of the RS. Consequently, linear relationships could not illustrate the nature of the spatial pattern of this diversity. The linear spatial relationship was statistically significant only for the onset date of the RS. The regression model used in the present study showed that despite the effect of local factors on the onset date of the RS, the major regional differences could be attributed to systems and mechanisms that probably affected the onset date of the RS from outside of the country.

show abstract

“…Some regions in the south of the Caspian Sea receive more than 2000 mm of annual precipitation while annual precipitation is less than 50 mm in the central and eastern Iran. Most of precipitation occur during autumn and winter because of the association of precipitation with western Mediterranean winds (Alijani, 1995). Due to the high climate variability, as well as the effects of changes in climate variables on other systems, it is vital to study and analyze the trend and stationarity of climatic series based on various climatic zones.…”

Section: Study Area and Datasetsmentioning

confidence: 99%

Influence of non-stationarity and auto-correlation of climatic records on spatio-temporal trend and seasonality analysis in a region with prevailing arid and semi-arid climate, Iran

Mirdashtvan

Saravi

2020

J. Arid Land

View full text Add to dashboard Cite

Trend and stationarity analysis of climatic variables are essential for understanding climate variability and provide useful information about the vulnerability and future changes, especially in arid and semi-arid regions. In this study, various climatic zones of Iran were investigated to assess the relationship between the trend and the stationarity of the climatic variables. The Mann-Kendall test was considered to identify the trend, while the trend free pre-whitening approach was applied for eliminating serial correlation from the time-series. Meanwhile, time series stationarity was tested by Dickey-Fuller and Kwiatkowski-Phillips-Schmidt-Shin tests. The results indicated an increasing trend for mean air temperature series at most of the stations over various climatic zones, however, after eliminating the serial correlation factor, this increasing trend changes to an insignificant decreasing trend at a 95% confidence level. The seasonal mean air temperature trend suggested a significant increase in the majority of the stations. The mean air temperature increased more in northwest towards central parts of Iran that mostly located in arid and semiarid climatic zones. Precipitation trend reveals an insignificant downward trend in most of the series over various climatic zones; furthermore, most of the stations follow a decreasing trend for seasonal precipitation. Furthermore, spatial patterns of trend and seasonality of precipitation and mean air temperature showed that the northwest parts of Iran and margin areas of the Caspian Sea are more vulnerable to the changing climate with respect to the precipitation shortfalls and warming. Stationarity analysis indicated that the stationarity of climatic series influences on their trend; so that, the series which have significant trends are not static. The findings of this investigation can help planners and policy-makers in various fields related to climatic issues, implementing better management and planning strategies to adapt to climate change and variability over Iran.

show abstract

Analysis of climate hazards in relation to urban designing in Iran

Cited by 6 publications

References 10 publications

Mitigating the Urban Heat Island Effect in Megacity Tehran

Mitigating the Urban Heat Island Effect in Megacity Tehran

Identification of Iran's rainy season and its relation to some spatial features

Influence of non-stationarity and auto-correlation of climatic records on spatio-temporal trend and seasonality analysis in a region with prevailing arid and semi-arid climate, Iran

Contact Info

Product

Resources

About