شماره ركورد :
1285072
عنوان مقاله :
تحليل ارتباط شاخص پوشش گياهي تعديل خاك و توازن انرژي سطح در شهرستان نظر آباد
عنوان به زبان ديگر :
Estimation Soil Adjusted Vegetation Index surface energy balance By analyzing their relationship through linear regression(Case Study: Nazarabad City)
پديد آورندگان :
اصغري سراسكانرود، صياد دانشگاه محقق اردبيلي - دانشكده علوم اجتماعي - گروه جغرافياي طبيعي، اردبيل، ايران , فعال نذيري، مهدي دانشگاه محقق اردبيلي - دانشكده علوم اجتماعي - گروه جغرافياي طبيعي، اردبيل، ايران
تعداد صفحه :
20
از صفحه :
15
از صفحه (ادامه) :
0
تا صفحه :
34
تا صفحه(ادامه) :
0
كليدواژه :
ﺗﻮازن اﻧﺮژي ﺳﻄﺢ , ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺗﻌﺪﯾﻞ ﺧﺎك , ﻃﺒﻘﻪ ﺑﻨﺪي ﺷﯽ ﮔﺮا , ﺗﺼﺎوﯾﺮ ﻟﻨﺪﺳﺖ , رﮔﺮﺳﯿﻮن ﺧﻄﯽ
چكيده فارسي :
اﻧﺮژي ﺣﺮارﺗﯽ ﺳﻄﻮح ﺷﻬﺮي ﻣﺘﻐﯿﺮ ﮐﻠﯿﺪي ﺑﺮاي ﮐﻨﺘﺮل ارﺗﺒﺎط ﺑﯿﻦ ﺷﺎر ﺣﺮارت ﺗﺎﺑﺸﯽ، ﻧﻬﻔﺘﻪ و ﻣﺤﺴﻮس اﺳﺖ. ﺑﺪﯾﻦ ﺗﺮﺗﯿﺐ ﺗﺤﻠﯿﻞ و درك ﭘﻮﯾﺎﯾﯽ دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ و ﺷﻨﺎﺳﺎﯾﯽ ارﺗﺒﺎط آن ﺑﺎ ﺗﻐﯿﯿﺮات ﻣﻨﺸﺄ اﻧﺴﺎﻧﯽ ﺑﺮاي ﭘﯿﺶ ﺑﯿﻨﯽ ﺗﻐﯿﯿﺮات ﻣﺤﯿﻄﯽ و ﺳﺮاﻧﺠﺎم، ﺳﯿﺎﺳﺖ ﮔﺬاري ﺷﻬﺮي ﻻزم اﺳﺖ. از ﺳﻮي دﯾﮕﺮ، اﻓﺰاﯾﺶ ﻣﻘﺪار ﭘﻮﺷﺶﮔﯿﺎﻫﯽ ﯾﮑﯽ از ﮐﺎراﺗﺮﯾﻦ اﺳﺘﺮاﺗﮋي ﻫﺎي ﺗﻌﺪﯾﻞ درﺟﻪ ﺣﺮارت اﺳﺖ. در ﭘﮋوﻫﺶ ﺣﺎﺿﺮ ﺟﻬﺖ دﺳﺘﯿﺎﺑﯽ ﺑﻪ دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ از اﻟﮕﻮرﯾﺘﻢ ﺗﻮازن اﻧﺮژي ﺳﻄﺢ و ﺑﺮاي ﺗﺨﻤﯿﻦ ﺳـﺒﺰﯾﻨﮕﯽ ﮔﯿﺎه از ﺷﺎﺧﺺ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺗﻌﺪﯾﻞ ﺧﺎك ﺷﻬﺮﺳﺘﺎن ﻧﻈﺮآﺑﺎد اﺳﺘﻔﺎده ﺷﺪ. ﺑﺪﯾﻦ ﻣﻨﻈﻮر از ﺗﺼﺎوﯾﺮ ﻣﺎﻫﻮاره اي ﻟﻨﺪﺳﺖ )OLI-TM(، ﺳﺎل ﻫﺎي )2019-2000( اﺳﺘﻔﺎده ﺷﺪ. اﺑﺘﺪا ﺗﺼﺎوﯾﺮ ﻣﺮﺑﻮﻃﻪ اﺧﺬ و ﭘﯿﺶ ﭘﺮدازش ﻫﺎي ﻻزم اﻋﻤﺎل ﺷﺪ. ﺳﭙﺲ ﻃﺒﻘﻪﺑﻨﺪي ﺑﺎ اﺳﺘﻔﺎده از روش، ﺷﯽءﮔﺮا ﺻﻮرت ﮔﺮﻓﺖ. ﻫﻤﭽﻨﯿﻦ ﺑﺮاي ﺑﺮآورد راﺑﻄﻪ ﻫﻤﺒﺴﺘﮕﯽ دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ و ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ از ﺗﺤﻠﯿﻞ رﮔﺮﺳﯿﻮن ﺧﻄﯽ اﺳﺘﻔﺎده ﺷﺪ. ﻧﺘﺎﯾﺞ دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ ﻧﺸﺎن داد ﻧﻮاﺣﯽ داراي ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﻫﻤﭽﻮن ﮐﺸﺎورزي و ﻣﺮاﺗﻊ ﺑﺮاي ﺳﺎل 2000 و 2019 ﺑﻪ ﻃﻮر ﻣﯿﺎﻧﮕﯿﻦ داراي دﻣﺎي 32 و 34 درﺟﻪ ﺳﺎﻧﺘﯽﮔﺮاد ﻣﯽ ﺑﺎﺷﺪ. اﯾﻦ در ﺣﺎﻟﯽ اﺳﺖ ﮐﻪ در اﯾﻦ ﺳﺎل ﻫﺎ ﻧﻮاﺣﯽ ﺑﺪون ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﻫﻤﭽﻮن ﻣﻨﺎﻃﻖ ﺷﻬﺮي و زﻣﯿﻦ ﺑﺎﯾﺮ ﮐﻪ ﻋﺎري از ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺑﻮده، دﻣﺎي ﺑﺎﻻﺗﺮي ﺑﻪ ﻃﻮر ﻣﯿﺎﻧﮕﯿﻦ 36 و 39 درﺟﻪ ﺳﺎﻧﺘﯽﮔﺮاد را ﺑﻪﺧﻮد اﺧﺘﺼﺎص داده اﻧﺪ ﮐﻪ ﻧﺸﺎن از ﺗﺎﺛﯿﺮ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺑﺮ دﻣﺎي ﺳﻄﺤﯽ اﺳﺖ. ﻫﻤﭽﻨﯿﻦ در ﺑﺮآورد ﻫﻤﺒﺴﺘﮕﯽ ﺑﯿﻦ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺑﺎ دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ، ﻣﯽ ﺗﻮان ﮔﻔﺖ ﻫﻤﺒﺴﺘﮕﯽ ﻗﻮي ﺑﯿﻦ داده ﻫﺎ وﺟﻮد دارد. ﻧﺘﺎﯾﺞ آﻧﺎﻟﯿﺰ رﮔﺮﺳﯿﻮن ﺧﻄﯽ ﻧﺸﺎن داد ﮐﻪ ﺿﺮﯾﺐ ﺗﺒﯿﯿﻦ در ﺳﺎل ﻫﺎي ذﮐﺮ ﺷﺪه ﺑﻪﺗﺮﺗﯿﺐ 0/78 و 0/89 درﺻﺪ از ﺗﻐﯿﯿﺮات، ﻣﺘﻐﯿﺮ واﺑﺴﺘﻪ ﺗﻮﺳﻂ ﻣﺘﻐﯿﺮﻫﺎي ﻣﺴﺘﻘﻞ ﺗﺒﯿﯿﻦ ﺷﺪه اﺳﺖ ﮐﻪ ﻣﻘﺪار ﺑﺎﻻﯾﯽ را ﻧﺸﺎن ﻣﯽ دﻫﺪ و ﻣﺪل ﺑﺎ اﻃﻤﯿﻨﺎن 0/95 درﺻﺪ ﻣﻌﻨﯽ دار ﺑﻮده اﺳﺖ.
چكيده لاتين :
Temperature is one of the main factors influencing urban planning because it guides the type of facilities available in cities and even determines the urban structure, shape and texture. On the other hand, increasing vegetation cover is one of the most effective strategies to reduce urban climate impacts. In the present study, the land energy balance algorithm was used to achieve land surface temperature and the soil vegetation index of Nazarabad city was used to estimate plant poisoning. For this purpose, Landsat satellite images (TM-OLI), years (2000-2019) were used. First, the relevant images were obtained and the necessary preparations were made. Then, the object-oriented classification was performed. Linear regression analysis was used to estimate the correlation between surface temperature and vegetation. Surface temperature results showed that vegetation areas such as agriculture and rangelands averaged 32 and 34 ° C for 2000 and 2019, respectively. However, during these years, vegetation-free areas such as urban and wilderness areas that were devoid of vegetation have averaged 36 and 39 degrees Celsius, indicating the effect of vegetation on surface temperatures. Also in estimating the correlation between vegetation and land surface temperature, it can be said that there is a strong correlation between the data. Independent variables have been explained which show high value and the model is significant with 0.95% confidence and is able to express changes based on available data so it can be concluded that this model has high accuracy for this study.
سال انتشار :
1401
عنوان نشريه :
فضاي جغرافيايي‌
فايل PDF :
8676633
لينک به اين مدرک :
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