7348

6853

كارشناسي ارشد

بيابان زدايي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي

1391

سيزده، 106ص.: مصور، جدول، نمودار

ص.ع. به فارسي و انگليسي

رضا جعفري، سعيد سلطاني كوپائي

13/9/91

عليرضا سفيانيان، حسين خادمي

1396/09/21

كتابنامه

منابع طبيعي

مهندسي منابع طبيعي

ID6853

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Dust mapping using satellite images Case Study Khuzestan province Shahbaz Mehrabi sh mehrbi2011@gmail com 26 September 2012 Department of Natural Resources Isfahan University of Technology Isfahan 84156 83 111 IranDegree M ScLanguage Farsi Supervisors Reza Jafari reza jafari@cc iut ac ir Said Soltani ssoltani@cc iut ac ir Abstract Now a days erosion phenomenon is served as the most determinant lands destructiveprocesses in different parts of the world including Iran Sand and dust storms are of the mainwind erosion catastrophes increased considerably in recent years Enormous outcomes have beenmentioned for these storms which they fall in two general environmental and anthropologicalones The primary step to better management and compete against these natural catastrophes andto reduce its adverse outcomes is to detect endangered regions In order to evaluate regionsaffected by dust storm in present research Khuzestan province was recognized as an endangeredregion because of specific geographical position and being neighbor to Arabian deserts Toinvestigate province dust fronts horizontal visibility data recorded at meteorological stationswere used the most important involved parameters with horizontal visibility were detected infive metrological stations Results related to the days with dust frequency indicated that year2008 accounted for highest frequency Among studied towns Abadan and MasjidSuleiman with164 and 64 had the highest and the least value Applied and strategic maps from 4 MODISsensor data were used during 2008 to 2011 to map dust intensity in the region After conductinggeometric corrections and calculating brightness temperature using three indices of Ackerman Miller TDI and NDDI dust intensity maps were produced In order to distinguish dust mass fromother atmospheric phenomena the threshold less than zero in Ackerman and more than 2 forTDI indices and for Miler and NDDI indices were determined in respect to each dust event andrelated characteristics Considering dust concentration in each index dust storms intensity wereclassified in six classes of very sever sever moderate weak very weak and dustless Amongstudied dust events the third one related to July 2 2009 recognized as the most sever dust stormand from indices Ackerman index was selected for determining the extent and TDI forevaluating the intensity of dust storms Results of climate data analysis showed thatrelationships value between climate parameters and visibility depends on meteorological stationdistance to dust sources and the more close the distance the more is this value Keywords Dust mapping Ackerman Miler TDI NDDI and MODIS

رضا جعفري، سعيد سلطاني كوپائي

عليرضا سفيانيان، حسين خادمي