Faezeh Alizadeh; Samereh Falahatkar; Afsaneh Afzali
Introduction: In the past three decades, dust has become a global concern for global societies. Due to Iran’s location in an arid region, it is severely influenced by this phenomenon. This phenomenon usually carries a huge mass of particle matters that can be clearly detected by satellite images. ...
Introduction: In the past three decades, dust has become a global concern for global societies. Due to Iran’s location in an arid region, it is severely influenced by this phenomenon. This phenomenon usually carries a huge mass of particle matters that can be clearly detected by satellite images. The purpose of the present study was to investigate the time series changes of absorbing aerosol index using satellite images at a national scale. Material and methods: In order to study the trend of monthly changes in dust phenomena in Iran, the data of Absorbing Aerosol Index (AAI) of SCIAMACHY sensor, which was taken during 2002-2012, and GOME-2 during 2007-2017 were evaluated using non-parametric Man-Kendall test. The variation rates for different sectors were estimated using Theil-Sen slope. Results and discussion: The results showed an increasing trend in the western, southwest, center, and northeastern regions of Iran during 10 years based on Z statistics SCIAMCHY. The results also showed an increasing trend of GOME-2 Aerosol Absorbing Index in some parts of Markazi, Isfahan, Hamedan, and Fars provinces, and Lake Urmia and completely in Chaharmahal & Bakhtiari, and Kohgilouyeh & Boyerahmad provinces. Also, Golestan and Semnan provinces didn’t show any specific trends. According to P statistic, the trend of change in most regions of Iran was significant. Based on the results of Theil-Sen slope, the western, southern and central regions of Iran showed the most changes in atmospheric aerosol concentration. Conclusion: The high compatibility between the present results and the reports of meteorological stations showed the high capability of satellite data, which we used in this study, in order to identify the areas that encountered to dust phenomenon at a national scale. Accordingly, it is recommended that this technology be used for the macro-management of the natural resources in Iran.
Fatemeh Rezaei; Samereh Falahatkar; Hashem Dadashpoor
Volume 16, Issue 2 , July 2018, , Pages 31-48
Introduction: Global warming is an absolute fact and an inevitable threat to life in the environment. Considering that urban areas are an important factor in the increase in CO2 gas emissions, the community needs to take action to reduce greenhouse gas emissions. Since the increase in the population ...
Introduction: Global warming is an absolute fact and an inevitable threat to life in the environment. Considering that urban areas are an important factor in the increase in CO2 gas emissions, the community needs to take action to reduce greenhouse gas emissions. Since the increase in the population is responsible for increasing the demand for housing and the rapid development of activity centres in the suburbs and the rapid growth of urban areas in Iran, we see the importance of fuel in sustainable development and the important and potential role of sustainable forms of urban development; the necessity of quantifying the relationship between the compactness of the urban form and CO2 emissions due to fossil fuel consumption is thus released. Materials and methods: The present study is designed in two phases. In the first phase, the changes of 15 urban forms in Guilan and Mazandaran Provinces are investigated according to the compactness dimension using landscape metrics (AI, PLADJ, PROXIM, COHESSION). OLI and TM Landsat satellite imagery from the years 2001 and 2015 was used to provide the urban maps. Also, a supervised classification based on the maximum likelihood algorithm was used for image classification. Post classification comparison was used for detection of change. In the second phase, after calculation of CO2 emissions the panel data analysis was used to calculate the relationship between time series variables of CO2 emissions and cross-section variables of landscape metrics. Results and discussion: The results of the landscape metrics show that, for all the urban forms studied during the period 1380-1394 (Persian calendar), the compactness in the class level in all urban areas of Guilan Province except for Bandar Anzali has shown a decreasing trend compared with Mazandaran Province, but an increasing trend of compactness was observed only in Ramsar, Behshahr and Amol in Mazandaran Province. Therefore, it can be said that the urban areas of Mazandaran Province are more compact than those of Guilan Province. According to the results, these four compactness variables (AI, PLADJ, PROXIM, COHESION) showed a negative correlation with CO2 emissions due to concentrations of gasoline and diesel oil at the urban class level. Among the metrics used, COHESIOM showed the highest correlations (8.79 and -10.17)) with carbon dioxide due to gasoline and diesel oil consumption, respectively. According to the results of the panel data analysis, the increase in the COHESION value of about one percent has caused CO2 emissions from gasoline to decrease by about nine percent, while a one percent increase in the COHESION value caused a 10% reduction in CO2 emissions from diesel oil. For example, if we consider that the amount of CO2 emissions from gasoline is 133.63 tons CO2 per hectare in Amol for 1394 and also, according to the results of the COHESION metrics which indicate that if the urban compactness increases by one percent CO2 emissions will be reduced by 8.8 percent, a reduction of 11.73 tons per hectare will occur. Conclusion: In sum, consideration of the urban form in the future planning of the northern cities development is recommended for creation of low carbon cities in Iran.