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برآورد پارامترهای روزانه و ماهانه دمای هوا در استان کردستان با بکارگیری تصاویر سنجنده MODIS | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 16، دوره 49، شماره 2، خرداد و تیر 1397، صفحه 413-423 اصل مقاله (686.53 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2017.234417.667688 | ||
| نویسندگان | ||
| یونس خوشخو* 1؛ سرور اسمعیلی2؛ مسعود عبداللهی3 | ||
| 1گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه کردستان | ||
| 2دانش آموخته کارشناسی ارشد آبیاری و زهکشی، دانشگاه کردستان | ||
| 3دانشجوی دکتری هواشناسی کشاورزی دانشگاه کلگری کانادا | ||
| چکیده | ||
| هدف از انجام این تحقیق، برآورد توزیع مکانی سه پارامتر دمای هوا شامل دمای کمینه، دمای بیشینه و دمای میانگین در مقیاسهای زمانی روزانه و ماهانه در استان کردستان با بکارگیری تصاویر سنجنده MODIS نصب شده بر روی ماهوارههای Aqua و Terra است. برای این منظور، 8 ایستگاه سینوپتیک در استان کردستان انتخاب شدند و برای سالهای 2013 و 2014 در این 8 ایستگاه، دادههای روزانه کمینه، بیشینه و میانگین دمای هوا و همچنین دمای سطح زمین در 4 زمان مختلف شبانهروز با انجام پردازشهایی بر روی تصاویر سنجنده MODIS استخراج شدند. سپس از روش رگرسیون خطی چند متغیره جهت استخراج روابط رگرسیونی بین هر کدام از سه پارامتر دمایی مذکور با دماهای سطح زمین برای کل استان کردستان و جهت سنجش خطا از روش اعتبارسنجی متقابل با بکارگیری سه شاخص میانگین قدر مطلق خطا، میانگین اریبی خطا و ضریب کارایی نش - ساتکلیف استفاده شد. نتایج نشان داد که ارتباطی قوی بین هر سه پارامتر دمایی با دماهای سطح زمین مستخرج از تصاویر ماهوارهای وجود دارد. نتایج حاصل از اعتبارسنجی متقابل نیز حاکی از تطابق مناسب و قابل قبول بین مقادیر اندازهگیریشده سه پارامتر دمایی مذکور با مقادیر برآورد شده توسط روابط رگرسیونی در هر دو مقیاس زمانی روزانه و ماهانه بود به گونهای که شاخص میانگین قدر مطلق خطا برای سه پارامتر دمای کمینه، دمای بیشینه و دمای میانگین در مقیاس روزانه به ترتیب با 7/2، 1/2 و 6/1 درجه سانتیگراد و در مقیاس ماهانه به ترتیب 9/1، 1/2 و 1/1 درجه سانتیگراد بدست آمد که نشاندهنده آن است که مقادیر این پارامترهای دمایی را در نقاطی از استان کردستان که فاقد ایستگاه هواشناسی هستند میتوان با استخراج دماهای سطح زمین از سنجنده MODIS برای این نقاط و بکارگیری این روابط رگرسیونی با دقت مناسب برآورد کرد. | ||
| کلیدواژه‌ها | ||
| استان کردستان؛ دمای سطح زمین؛ دمای هوا؛ رگرسیون خطی چندمتغیره؛ MODIS | ||
| عنوان مقاله [English] | ||
| Estimating daily and monthly air temperature parameters at Kurdistan province using MODIS sensor images | ||
| نویسندگان [English] | ||
| Younes Khoshkhoo1؛ Sorour Esmaeili2؛ Masoud Abdollahi3 | ||
| 1Water science and Engineering Department, Agriculture Faculty, University of Kurdistan | ||
| 2University of Kurdistan | ||
| 3Ph.D. student | ||
| چکیده [English] | ||
| The object of this research is the estimation of spatial distribution of three air temperature parameters at daily and monthly scales including minimum, maximum and mean temperatures at the Kurdistan province using MODIS sensor images setted on Aqua and Terra satellites. For this object, 8 synoptic stations at Kurdistan province were selected and for these 8 stations at 2013 and 2014, daily minimum, maximum and mean air temperature data and also land surface temperature at 4 daily times at these 8 stations for 2013 and 2014 years were extracted by processing on the MODIS sensor images. Afterwards, the multiple linear regression method was used to extract regional regression models for Kurdistan province between these 3 air temperature parameters and land surface temperature and to assesing the errors, cross validation based on the Mean Absolute Error, Mean Bias Error and Nash-Sutcliffe Efficiency coefficient was adopted. The results showed that it is a powerful relation between all of these 3 air temperture and land surface temperatures extracted by sattelite images. The results of cross validation showed an approperiate and reseanable agreement between the measured and estimated values of these 3 parameters at both daily and monthly scales so that the mean absolute error for minimum, maximum and mean temperatures were 2.7, 2.1 and 1.6 °C at daily scale and 1.9, 2. 1 and 1.1 °C at monthly scale, respectively. These results showed that it is possible to estimate these air temperature parameters at the places witout any meteorological stations with an approperiate and acceptable accuracy by extracting land surface temperatures of MODIS sensor for these places and applying the extracted regression models. | ||
| کلیدواژه‌ها [English] | ||
| Air Temperature, Kurdistan province, Land surface temperature, MODIS, Multiple Linear Regression | ||
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