پديد آورندگان :
ﺧﺴﺮوي، ﻓﺮﻧﺎز داﻧﺸﮕﺎه اردﮐﺎن - داﻧﺸﮑﺪه ﮐﺸﺎورزي و ﻣﻨﺎﺑﻊ ﻃﺒﯿﻌﯽ , ﺗﺎزه، ﻣﻬﺪي داﻧﺸﮕﺎه اردﮐﺎن - داﻧﺸﮑﺪه ﮐﺸﺎورزي و ﻣﻨﺎﺑﻊ ﻃﺒﯿﻌﯽ - ﮔﺮوه ﻃﺒﯿﻌﺖ , ﺻﺎرﻣﯽ ﻧﺎﯾﯿﻨﯽ، ﻣﺤﻤﺪﻋﻠﯽ داﻧﺸﮕﺎه اردﮐﺎن - داﻧﺸﮑﺪه ﮐﺸﺎورزي و ﻣﻨﺎﺑﻊ ﻃﺒﯿﻌﯽ - ﮔﺮوه ﻣﺪﯾﺮﯾﺖ ﻣﻨﺎﻃﻖ ﺧﺸﮏ و ﺑﯿﺎﺑﺎﻧﯽ , ﮐلاﻧﺘﺮي، ﺳﻌﯿﺪه داﻧﺸﮕﺎه اردﮐﺎن - داﻧﺸﮑﺪه ﮐﺸﺎورزي و ﻣﻨﺎﺑﻊ ﻃﺒﯿﻌﯽ - ﮔﺮوه ﻃﺒﯿﻌﺖ
كليدواژه :
داﻧﻪ ﺑﻨﺪي , اﻟﮏ ﻣﮑﺎﻧﯿﮑﯽ , ژﺋﻮﻣﻮرﻓﻮﻟﻮژي , ﺗﻮزﯾﻊ اﻧﺪازۀ ذرات , ﻓﺮﺳﺎﯾﺶ ﺑﺎدي
چكيده فارسي :
روش ﻫـﺎي ﮔﻮﻧـﺎﮔﻮ ن ﺳﻨﺘﯽ و ﻣﺪرن ﺑﺮاي داﻧﻪ ﺑﻨﺪي ذرات ﺑﻪ ﮐﺎر ﺑﺮده ﻣﯽ ﺷﻮد و ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﯾﻨﮑﻪ روش ﻫﺎي ﺳﻨﺘﯽ، روﺷﯽ وﻗﺖ ﮔﯿﺮ اﺳـﺖ ﺿـﺮورت اﺳـﺘﻔﺎده از اﯾﻦ روش اﺣﺴﺎس ﻣﯽ ﺷﻮد. ﻫﺪف از اﯾﻦ ﺗﺤﻘﯿﻖ ﺑﺮرﺳﯽ اﻣﮑﺎن اﺳﺘﻔﺎده از دﺳﺘﮕﺎه Win Area در داﻧﻪ ﺑﻨﺪي ذرات ﺳـﻨﮓ ﻓـﺮش ﺑﯿﺎﺑـﺎن اﺳﺖ. ﺑﺪﯾﻦ ﻣﻨﻈﻮر در ﻧﻘﺎط ﻣﺨﺘﻠﻒ در ﺣﻮﺿﮥ دﺷﺖ ﯾﺰد- اردﮐﺎن در ﺑﺎزۀ 10 روزه در ﺳﺎل 1399، ﺑﻪ ﺻﻮرت ﺗﺼﺎدﻓﯽ و ﺑـﺎ اﺳـﺘﻔﺎده از ﭘلات ﻫﺎي ﻣﺮﺑﻌﯽ ﺷﮑﻞ 40×40 از ﺳﻨﮓ ﻓﺮش ﻧﻤﻮﻧﻪ ﺑﺮداري ﺷﺪ و ﻧﻤﻮﻧﻪ ﻫﺎ ﺑﺎ اﺳﺘﻔﺎده از اﻟﮏ ﻣﮑﺎﻧﯿﮑﯽ داﻧﻪ ﺑﻨﺪي ﺷﺪ. ﻫﻤﭽﻨـﯿﻦ ﻧﻤﻮﻧـﻪ ﻫـﺎ ﺑﻪ روي دﺳﺘﮕﺎه ﻣﺬﮐﻮر ﻗﺮار داده ﺷﺪ و از آن ﻫﺎ ﻋﮑﺲ ﺑﺮداري ﺻﻮرت ﮔﺮﻓﺖ و ﺑﺮاي ﺗﺤﻠﯿﻞ داده ﻫﺎي ﺣﺎﺻﻞ از ﻧﺮم اﻓـﺰار ﻫـﺎي ﭘـﺮدازش ﺗﺼﻮﯾﺮ از ﻧﺮم اﻓﺰارﻫـﺎ ي Micro soft office Excel 2013 ،IBM.SPSS.Statistics-22 ،GRADISTAT اﺳـﺘﻔﺎده ﺷـﺪ و ﺳـﭙﺲ ﻧﻤـﻮدار داﻧﻪ ﺑﻨﺪي رﺳﻢ ﮔﺮدﯾﺪ. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﺗﻘﺮﯾﺒﺎً ﺗﻤﺎﻣﯽ ﻧﻤﻮدارﻫﺎ ﺑﺎ ﯾﮑﺪﯾﮕﺮ ﻫﻤﺒﺴﺘﮕﯽ دارﻧﺪ، ﮐﻪ ﻫﻤﺒﺴﺘﮕﯽ ﺑﯿﻦ ﻧﻤـﻮدار داﻧـﻪ ﺑﻨـﺪي اﻟـﮏ ﻣﮑﺎﻧﯿﮑﯽ ﺑﺎ ﻋﺮض ذرات ﺑﯿﺸﺘﺮ ﻣﯽ ﺑﺎﺷﺪ و ﻣﻨﺤﻨﯽ داﻧﻪ ﺑﻨﺪي رﺳﻢ ﺷﺪه از ﻧﺘﺎﯾﺞ اﻟﮏ ﻣﮑﺎﻧﯿﮑﯽ ﺑﺎ ﻧﺘﺎﯾﺞ ﺑﻪ دﺳﺖ آﻣـﺪه از دﺳـﺘﮕﺎه Win Area ﻣﺸﺎﺑﻪ ﺑﻮده و ﻣﻨﺤﻨﯽ ﻫﺎي رﺳﻢ ﺷﺪه ﺗﻘﺮﯾﺒﺎً ﺑﺮ ﻫﻢ ﻣﻨﻄﺒﻖ اﺳﺖ. در ﺳﻄﺢ اﻋﺘﻤـﺎد 95%، ﺿـﺮﯾﺐ ﻫﻤﺒﺴـﺘﮕﯽ ﺑـ ﯿﻦ اﯾـﻦ دو روش 0/91 ﺑـﻪ دﺳﺖ آﻣﺪ. آزﻣﻮن ﭘﯿﺮﺳﻮن ﺣﺎﺻﻞ از وارد ﺳﺎزي درﺻﺪ ﻓﺮاواﻧﯽ ﺗﺠﻤﻌﯽ ﻃـﻮل، ﻋـﺮض و ﻗﻄـﺮ ذرات ﻧﺸـﺎن دﻫﻨـﺪۀ اﯾـﻦ اﺳـﺖ ﮐـﻪ در ﻧﻤﻮﻧﻪ ﻫﺎي ﺷﻤﺎرۀ 1، 2، 3، 4 و 5 ﻧﻤﻮدار داﻧﻪ ﺑﻨﺪي اﻟﮏ ﻣﮑﺎﻧﯿﮑﯽ ﺗﺸﺎﺑﻪ ﺑﯿﺸﺘﺮي ﺑﺎ ﻧﻤﻮدار داﻧﻪ ﺑﻨﺪي ﻋﺮض ذرات دارد. در ﻧﻤﻮﻧﻪ ﻫﺎﯾﯽ ﮐـﻪ داراي ﻗﻄﺮ ﻣﺘﻮﺳﻂ ﺑﺎلاﺗﺮي ﻫﺴﺘﻨﺪ، ﺑﯿﻦ ﻣﻘﺎدﯾﺮ داﻧﻪ ﺑﻨﺪي از اﻟﮏ ﻣﮑﺎﻧﯿﮑﯽ ﺑﺎ داﻧﻪ ﺑﻨﺪي ﻋﺮض و ﻃﻮل ذرات، ﺗﺸـﺎﺑﻪ وﺟـﻮد دارد . اﺳـﺘﻔﺎده از دﺳﺘﮕﺎه Win Area ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﯾﻨﮑﻪ ﺳﺮﯾﻊ ﺗﺮ و ﮐﻢ ﻫﺰﯾﻨﻪ ﺗﺮ اﺳﺖ ﻣﯽ ﺗﻮاﻧﺪ ﺟﺎﯾﮕﺰﯾﻦ ﻣﻨﺎﺳﺒﯽ ﺑﺮاي روش ﻫﺎي ﺳـﻨﺘﯽ داﻧـﻪ ﺑﻨـﺪي ﺧـﺎك ﺑﺎﺷﺪ.
چكيده لاتين :
Pediments are vitally important geomorphological units. Desert pavement feature is used for their
classification. The characteristics of desert pavements are a function of geomorphological conditions and have
unique properties in terms of different granulation parameters. A variety of methods are employed to determine
granulation. The most common method is the sieving test, in which the particle size distribution curve is
obtained using the cumulative weight of the grains passing through the sieve. Using image processing methods facilitates the identification, measurement, analysis, and spatial distribution of particles. The present study aims
to prove that digital image processing is a viable alternative for traditional methods as the results from both
procedures are similar.
Methodology: Yazd-Ardakan plain is located in the range of 15 53 to 50-54 easts and in 31-15 to 45 45 north. In
this study, ten points were randomly selected in 40 40 40 square plots in plain areas in Yazd-Ardakan plain
basin. Sediment granulation was done by the mechanical sieving method. In order to granulate sediments, the
samples were taken and transferred to the laboratory, and placed in a shaker to separate the particles according to
their large diameter size by the sieves in the machine. After performing the calculations via Excel software, a
graph related to the granulation of each point was achieved. WinArea-UT-11 can measure most physical
coefficients of products such as perimeter, area, and the largest and smallest particle diameters. The parameters
measured by the device were particles’ length and width.
Results and discussion: In this section, the granulation results by mechanical sieving as well as the results
obtained from the Win Area machine are presented. The following table, Table 1, is an example of calculating
the weight percent and the percentage of cumulative frequency of particles in a mechanical sieve..... The results of the granulation diagram of each of the parameters of particles’ length, width, and
diameter visually show that the graphs are almost correlated and coordinated with each other. Among these, the
correlation between the mechanical sieve granulation diagram and the particles’ width is more consistent than
the particles’ length and diameter granulation diagram. According to the grading results of each parameter in
comparison with the mechanical sieving method, if a few number of grading diagrams of length, width, and
diameter are shifted, the diagrams will completely match. Pearson test, obtained by importing the percentage of
cumulative frequency of particles’ length, width, and diameter, shows that in samples 1, 2, 3, 4, and 5, which are
related to the pediments, the grading diagram of a mechanical sieve is more similar to Particles’ width grading
diagram. In samples with higher mean diameters, the similarities between the grading values of the mechanical
sieve are approximately the same as the granulation of particles’ width and length...This study illustrates the similarity between the grading curve drawn from the mechanical sieving and the
results obtained with the win area machine, and the drawn curves are visually matched with some shifts. Also,
according to the results of comparing image processing methods with traditional methods, it is found that there is
a significant correlation between the two methods, meaning that the results of digital image processing methods
are similar to conventional methods. Therefore, the digital image processing method can perfectly replace the
traditional methods
