physical geography
Sayyad Asghari Saraskanroud; Memhdi Faal Naziri
Abstract
In this study, the effects of land use changes with surface temperature of karaj cityand spatial autocorrelation have been discussed using the moran index. for this purpose, landsat OLI- TM satellite imagery has been used in 2000 and 2018. first, the images were taken and the required images were applied. ...
Read More
In this study, the effects of land use changes with surface temperature of karaj cityand spatial autocorrelation have been discussed using the moran index. for this purpose, landsat OLI- TM satellite imagery has been used in 2000 and 2018. first, the images were taken and the required images were applied. then classification using object orinted method and nearest neighbor algorithm was developed and the earth surface temperature was extracted with split window algorithm (imagery). The results showed that the arid land has the highest temperature in 2000 and 2018, respectively, due to the lack of vegetation, the high capacity of absorption of heat by barren soil, and the use of blue zones in 2000 and 2018 respectively, has a temperature of 38 - 25 (° C), which is دفع and has lower heat temperatures. also, the results showed strong relationship between land use and temperature. finally, the hot and cold clusters of karaj city heat islands were extracted using the hot spots analysis index (hotspot). Space autocorrelation analysis with global Moran's indices showed that the Earth's surface temperature was cluster - like. the analysis of hot spots confirmed the focus and cluster of the heat islands of karaj city in space with increasing periods of time.
environment
Saeed Jahanbakhsh; Batool Zeinali; Sayyad Asghari
Volume 5, Issue 10 , October 2014, , Pages 85-98
Abstract
Dust is one of the atmospheric phenomena that it leaves undesirable environmental effects and consequences such as threat to public health, decline of economic production, resident dissatisfaction and finally forced migration in urban and rural areas. Therefore, the purpose of this review is classification ...
Read More
Dust is one of the atmospheric phenomena that it leaves undesirable environmental effects and consequences such as threat to public health, decline of economic production, resident dissatisfaction and finally forced migration in urban and rural areas. Therefore, the purpose of this review is classification of Iran in terms of frequency of dust storms and determining of critical regions, provinces and cities for national and international planning. For this purpose was used dust hourly data, annual average and maximum data of wind velocity and MODIS images. FCM is used method in this research that is using for regional frequency extremely. According to results, Iran classified in 5 clusters. Cluster5 reclassified to 3 clusters because of its wide range. Maximum cores of dust storms are Zabol station (cluster 1), Abadan, Kenarak, Ahvaz and Zahedan (cluster 2), Dezfol, Bandar Mahshahr, Bostan, Masjed Soleyman, Bushehr, Khash, Iranshahr(cluster 3) and Minimum core of storm (cluster 5-3) is consisting of The North, North-West Iran, the Zagros elevations and North West of Northern Khorasan. According to the results of clustering, Khuzestan and Sistan va Baluchistan provinces are in zoning large, very large and critical dust storms that are required of national and international planning.
