شماره مدرك :
3441
شماره راهنما :
164 دكتري
پديد آورنده :
تومانيان، نوراير
عنوان :

چگونگي تكوين اراضي، تنوع خاك ها و نقشه برداري كمي بعضي از خصوصيات پدوژنيكي در بخشي از ايران مركزي

مقطع تحصيلي :
دكتري
گرايش تحصيلي :
خاكشناسي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
سال دفاع :
1385
صفحه شمار :
دوازده، 170، [II]ص.: مصور، جدول، نمودار
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
احمد جلاليان، حسين خادمي
استاد مشاور :
جهانگرد محمدي، مصطفي كريميان اقبال
واژه نامه :
دارد
توصيفگر ها :
تكنيك هاي رگرسيوني، زمين آماري، هيبريدي , كريجينگ , تكامل دره زاينده رود , درياچه گاوخوني , رويكرد UK استاندارد، پايدار
استاد داور :
شهلا محمودي، احمد لندي، محمدعلي حاج عباسي، منوچهر حيدرپور
تاريخ ورود اطلاعات :
1396/02/26
كتابنامه :
كتابنامه
رشته تحصيلي :
كشاورزي
دانشكده :
مهندسي كشاورزي
كد ايرانداك :
ID164 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتال
چكيده انگليسي :
AbstractA new approach to soil survey and a new method for mapping soil attributes have beenintroduced To cover all steps of soil survey a composition of different quantitativetechniques have been used The knowledge of surveyor about soil landscaperelationships and digitaly prepared classified environmental information wereincorporated into statistitical and mathematical models to represent the fundamental soilformation theories For an accurate mapping of soils in each landscape following stepshave critical importance i Determination of fundamental factors and processes causinglandscape formation ii Determination of evolution pathways of geomorphic surfaces iii Mapping the pedologic properties and presenting the visualized informations In thisdissertation three different representative studies were curried out in 300000 ha ofZayandeh rud valley Isfahan Central Iran Land units were differentiated using landscape analysis Landscape evaluation was theninvestigated using soil forming factors as well as geomorphic processes in the firststudy In second study measurment of pedodiversity index was used to determine soilevolution pathways conversion or diversion evolution According to the Jenny sequation spatial distribution of a soil type or attribute is a function of climate andorganisms modified by relief and human influence over parent material during time Inthe third study to map the soil properties in a continouos manner it was tried to solvethe Jenny s equation In this case outputs of previous studies and explanatoryenvironmental variables were used as representatives of soil forming factors employedby selected pedometric techniques to model the thickness of A horizon B horizons andthe clay content of second soil layer in the study area In this approach theunsampled points were estimated and the raster maps of target variables were produced Results of the first study showed that there are some geomorphic surfaces in Zayandeh rud Valley developed before Pleistocene period It seems that the vast area in this valleyare not river alluviums but rather formed by playa sedimentation Also results of thisstudy proved that the Zayandeh rud River had changed its pathway three times duringthe Quaternary in the area The second study revealed that soil evolution pathway in thisvalley does not follow the Jenny s theory This study also showed that the pedodiversityindex is directly related with soil evolution and time Results of the third study indicatethat the predicted continuous maps have the ability to accurately show the spatialdistribution of pedologic properties Based on the results of this investigation thethickness of A horizon and clay content of the second layer are better predicted ascompared to the thickness of B horizons This seems to be due to higher relationshipbetween explanatory variables with the former variables The percision and uncertainty analyses carried out on the estimated data showed that therelationship between the target and predictive variables plays a great role on modelingand the efficiency of this method to predict the precise values of target variables inunsampled points of the study area If some predictive variables from soil itself areused better prediction will be made The intrinsic relationship between the target andpredictive variables would therefore increase the efficiency of models
استاد راهنما :
احمد جلاليان، حسين خادمي
استاد مشاور :
جهانگرد محمدي، مصطفي كريميان اقبال
استاد داور :
شهلا محمودي، احمد لندي، محمدعلي حاج عباسي، منوچهر حيدرپور
لينک به اين مدرک :

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