بررسی نقش تغییرکاربری - پوشش زمین در تغییرات دمای حوزه آبخیز خرسان
محورهای موضوعی : منابع طبیعی و مدیریت زیست محیطیمسعود آسوده 1 , مریم مروتی 2 , aref saberi 3
1 - کارشناسی ارشد علوم و مهندسی محیط زیست، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان،اردکان، ایران
2 - دانشیار، گروه علوم ومهندسی محیط زیست، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان ، اردکان ، ایران
3 - دکتری علوم و مهندسی آبخیزداری، گروه علوم و مهندسی آبخیزداری، دانشکده منابع طبیعی ، دانشگاه علوم کشاورزی و منابع طبیعی ساری ، ساری ، ایران
کلید واژه: دﻣﺎي ﺳﻄﺢ زﻣﯿﻦ, حوضه خرسان, ﻣﻌﮑﻮس ﺗﺎﺑﻊ ﭘﻼﻧﮏ, ﺟﺰاﯾﺮ ﺣﺮارﺗﯽ,
چکیده مقاله :
پژوهش حاضر به ارزیابی تغییرات کاربری اراضی در نوسان دما و جزایر حرارتی در حوزه آبخیز خرسان شهرستان یاسوج در سالهای2010، 2014، 2018 و 2022پرداخته شده است؛ که ابتدا نقشه های کاربری اراضی، شاخص پوشش گیاهی وLSD با استفاده از گوگل ارث انجین محاسبه شدند. برای تهیه نقشه های دما، شاخص NDVI و کاربری اراضی از تصاویر لندست 7-8 با دقت مکانی30متر استفاده شد که در نهایت 7-6کاربری تفکیک شدند و در میان انواع کاربری تعیین شده کاربری مرتع با 8/46درصد بیشترین مساحت و اراضی بایر و منابع آب به ترتیب 2/2و 4/4درصد کمترین درصد را داشتند. ضریب کاپا و نتیجه صحت سنجی برای این نقشه نشان داد که87/0 و5/0 درصد دقت داشتند طوریکه هرچه اعداد به یک نزدیکتر باشند دقت کار را بهتر نشان میدهند.مقادیر شاخص NDVI نشان داد که در سال 2018و 2010پوشش گیاهی مناسب بود و در دو سال دیگر 2014و 2022به صورت متوسطی نشان داده شد؛ حداکثر ارزش پیکسلی که پوشش گیاهی74/0 است و حداقل ارزش پیکسل 49/0-است.مقادیر شاخص LSD نیز نشان داد سال 2018شدت دمایی نسبت به سه سال دیگر کمتر بوده است.حداکثر دما در این سال 98/32 درجه سانتیگراد بوده است.حداکثر دمای اندازهگیری شده در حوزه آبخیز خرسان در در سال 2022برابر با 22/45 درجه سانتیگراد بوده است؛ با بررسی همبسنگی بین کاربری اراضی و دما با سطح اطمبنان (Pvalue<0.05) مشخص شد که بیشترین ارتباط را اراضی زراعی با مقدار 724/0دارد و کمترین آن را اراضی بایر و لخت برابر یا 305/0 در سال 2014 داشته است.
The present research has been devoted to the evaluation of land use changes in temperature fluctuations and thermal islands in Khersan watershed of Yasouj city in the years 2010,2014,2018 and2022;First, land use maps, vegetation index and LSD were calculated using Google Earth Engine. To prepare temperature and NDVI maps, Landsat 7-8 images with a spatial accuracy of 30 meters were used, and land use maps were separated from Sentinel images with an accuracy of 10 meters. and barren lands and water resources have the lowest percentages of2.2 and4.4 percent, respectively. The Kappa coefficient and the validation result for this map showed that 0.87 and 0.5% were accurate, so the closer the numbers are to one, the better the accuracy of the work.NDVI index values showed that in 2018 and 2010the vegetation cover was suitable and in the other two years 2014 and 2022it was shown as average;The maximum pixel value that is vegetation is0.74 and the minimum pixel value is -0.49. The values of the LSD index also showed that the temperature intensity in 2018 was lower than the other three years.The maximum temperature this year was32.98 degrees Celsius. The maximum temperature measured in Khersan watershed in2022 was equal to45.22 degrees Celsius;By examining the correlation between land use and temperature with the surface of the valleys (Pvalue<0.05),it was found that agricultural lands have the highest correlation with a value of0.724, and the lowest is barren and bare lands with a value of0.305 in2014.
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