ارزیابی رابطۀ میان دمای سطح زمین و نسبت سطح برف با استفاده از داده‌های سنجش از دور (مطالعۀ موردی: حوضۀ آبخیز کسیلیان)

نوع مقاله : پژوهشی

نویسندگان

1 دانشجوی دکتری آبخیزداری، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد، شهرکرد

2 استادیار، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد، شهرکرد

3 دانشیار، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد، شهرکرد

چکیده

دمای سطح زمین بر میزان تغییرات مکانی و زمانی برف پشته‏ها به عنوان یکی از اجزای مهم بیلان آبی اثر می‏گذارد... به‌رغم سهولت دسترسی به داده‏های سنجش از دور، نظیر محصولات ماهوارۀ مودیس در پایش و ارزیابی اثر دمای سطح زمین بر مساحت پوشش برفی گاهی به دلایلی سری پیوستۀ آن موجود نیست. به منظور غلبه بر این محدودیت، با استفاده از روابط رگرسیونی، ارتباط دمای سطح زمین و گسترۀ پوشش سطح برف در هر 8 روز و به صورت میانگین ماهانه طی سال‏های 1382 تا 1394 ارزیابی شد. نتایج به‌دست‌آمده نشان داد حداقل و حداکثر میانگین سالانۀ درصد پوشش سطح برف در حوضۀ کسیلیان به‏ترتیب در سال‏های 1388 و 1390 برابر با ‌86/5 و ‌32/20 درصد و همچنین، میزان میانگین سالانۀ دمای حداقل و حداکثر سطح زمین در سال‏های 1383 و 1389 برابر با 65/17 و 1/21 درجۀ سانتی‏گراد است. بررسی الگوی تغییرات دو متغیر طی دورۀ مطالعاتی نشان داد تغییرات سطح پوشش برف نسبت به دمای سطح زمین به‏صورت معکوس و به‌‌تدریج در حال افزایش است. همچنین، نتایج نشان داد در رگرسیون توانی، مقادیر NSE برای شبیه‏سازی میزان درصد پوشش سطوح برفی، ، RMSE و Bias به‌ترتیب برابر 6/0، 64/0، 88/9 و 14/2- است. این ضرایب در رگرسیون خطی به‌ترتیب برابر با 16/0، 47/0، 37/14 و 32/86 به دست آمد. بنابراین، مطالعۀ حاضر می‏تواند برای برآورد پوشش سطح برف و بازسازی نواقص آماری موجود در تصاویر ماهواره‏‏ای مؤثر باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of Land Surface Temperature and Snow Cover Ratio by Using Remote Sensing Data (Case Study: Kasilian Watershed)

نویسندگان [English]

  • Hamed Mahmoudi 1
  • Mehdi Pajouhesh 2
  • Khodayar Abdollahi 2
  • Afshin Honarbakhsh 3
1 Ph.D. Candidate of Watershed Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord
2 Assistance Professor, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord
3 Associated Professor, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord
چکیده [English]

Land Surface Temperature (LST) affects snowpack spatiotemporal changes as one of the crucial components of water balance. Despite the ease of access to Remote Sensing (RS) data, such as Moderate Resolution Imaging Spectroradiometer (MODIS), products that are used for monitoring and evaluating LST effect on snow cover area SCA are sometimes not available for some reason. In order to overcome such a limitation, the monthly average values of SCA and LST in each 8 days for 13 years (2003-2016) were evaluated by regression relations. The results showed, minimum and maximum values of annual mean of snow covered area percent that occurred in 20009 and 2011 as being equal to 5.86%, 20.32, respectively. In addition, the annual mean of minimum and maximum values of LST related to 2004 and 2010 were 17.65 and 21.1 0C, respectively. The pattern of two variables changes illustrated that the SCA changes to LST are reverse and gradually increasing during the study period. Also, the results revealed that in power regression, the Nash-Sutcliff Efficiency (NSE) coefficient for SCA percent simulation, ,  RMSE and Bias, are 0.6, 0.64, 9.88 and -2.14, respectively. These coefficients are 0.16%, 47%, 14.37% and 86.32% in linear regression method, respectively. Thus, this study may be helpful to estimate SCA and reconstruct missing data in satellite images.

کلیدواژه‌ها [English]

  • Simulation
  • MODIS Satellite
  • Snow Melt
  • Temperature Gradient
  • Spatiotemporal Scale
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