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تخمین تبخیر- تعرق پوشش جنگلی بلوط با استفاده از الگوریتم سبال در منطقه رباطماهیدشت کرمانشاه | ||
| تحقیقات جنگل و صنوبر ایران | ||
| مقاله 3، دوره 29، شماره 2 - شماره پیاپی 84، تیر 1400، صفحه 139-128 اصل مقاله (494.43 K) | ||
| نوع مقاله: علمی- پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijfpr.2021.353563.1985 | ||
| نویسندگان | ||
| همایون حصادی* 1؛ عبدالکریم بهنیا2؛ علی‌محمد آخوندعلی2؛ سیدمحمود کاشفی‌پور2؛ پیمان دانش‌کار آراسته3؛ علیرضا کریمی4 | ||
| 1نویسنده مسئول، مربی پژوهش، بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان کرمانشاه، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرمانشاه، ایران | ||
| 2استاد، دانشکده مهندسی و علوم آب، دانشگاه شهید چمران اهواز، اهواز، ایران | ||
| 3دانشیار، دانشکده کشاورزی و منابع طبیعی، دانشگاه بینالمللی امام خمینی (ره)، قزوین، ایران | ||
| 4کارشناس ارشد منابع آب، شرکت آب و فاضلاب استان فارس، شیراز، ایران | ||
| چکیده | ||
| پوشش جنگلی بلوط (Quercus spp.) یکی از مهم‌ترین بوم‌سازگان‌های زنده در غرب کشور و استان کرمانشاه است. از نیازهای مهم مدیریتی این پوشش می‌توان به برآورد تبخیر- تعرق یا نیاز آبی اشاره کرد. استفاده از سنجش‌ازدور، یکی از روش‌های کاربردی در برآورد تبخیر- تعرق پوشش گیاهی در سطوح مختلف است. در پژوهش پیش‌رو از الگوریتم سبال و چهار تصویر ماهواره لندست ۵ مربوط به تیر و مردادماه ۱۳۸۹ (ژوئن و ژوئیه و اوت سال ۲۰۱۰ میلادی) برای برآورد مقدار تبخیر- تعرق پوشش جنگلی در منطقه رباطماهیدشت در استان کرمانشاه استفاده شد. سپس با استفاده از تصاویر ماهواره سنتینل، محدوده جنگلی منطقه رباطماهیدشت استخراج شد و با نقشه تبخیر- تعرق تطبیق داده شد. براساس نتایج، مقدار میانگین تبخیر- تعرق 24 ساعته پوشش جنگلی در بازه زمانی مورد مطالعه بین ۴/۳ تا ۰۹/۵ میلی‌متر متغیر بود که بیانگر نیاز آبی قابل‌توجه این پوشش است. ضریب همبستگی بین تبخیر- تعرق برآوردشده با سبال و اندازه‌گیری‌‌شده با لایسی‌متر 9967/0 و اختلاف مطلق بین آن‌ها 53/0 میلی‌متر در روز به‌دست آمد که نشان‌دهنده خطای کمتر از ۱۰ درصد و عملکرد قابل‌قبول الگوریتم سبال است. این الگوریتم در صورت وجود توالی مناسب تصاویر و داده‌های سنجنده‌های دیگر مانند تصاویر سنتینل می‌تواند برای طبقه‌بندی تراکمی و بررسی سلامتی جنگل‌ها استفاده شود. | ||
| کلیدواژه‌ها | ||
| جنگل‌های زاگرس؛ رابطه بیلان انرژی؛ سنتینل؛ سنجنده TM | ||
| عنوان مقاله [English] | ||
| Estimation of evapotranspiration of oak forest cover using SEBAL algorithm in the Robat Mahidasht region of Kermanshah, Iran | ||
| نویسندگان [English] | ||
| H. Hesadi1؛ A. Behnia2؛ A.M. Akhoond-Ali2؛ S.M. Kashefi Pour2؛ P. Daneshkar Arasteh3؛ A.R. Karimi4 | ||
| 1Corresponding author, Research Expert, Soil Conservation and Watershed Management Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, Kermanshah, Iran | ||
| 2Professor, Faculty of Water Science and Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| 3Associate Prof., Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran | ||
| 4M.Sc. of Water Resources, Fars Province Water and Wastewater Company, Shiraz, Iran | ||
| چکیده [English] | ||
| Oak (Quercus spp.) forest cover is one of the most important living ecosystems in the western region of Iran and the Kermanshah Province. One of the important managerial needs of this cover is the water requirement of the oak plant. Currently, determining the amount of water required by the oak plant is one of the main priorities of the country's natural resources sector. Among the practical methods for estimating the evapotranspiration of vegetation (water requirement) at different levels are remote sensing techniques. In this study, in order to determine the rate of evapotranspiration of forest cover in the Robat Mahidasht region in the Kermanshah Province, the SEBAL algorithm and four images of Landsat 5 in the period of June, July, and august of 2010 were used. Then, using Sentinel satellite images, the forest areas of the Robat-Mahidasht region were extracted and matched with the calculated evapotranspiration map. Based on the obtained results, the average rate of 24-hour evapotranspiration of forest cover in the desired time period has varied between 3.4 to 5.09 mm. The correlation coefficient between the estimation of evapotranspiration by SEBAL and lysimetric measurement in Mahidasht region was about 0.9967 and the absolute difference between them was about 0.53 mm per day, which indicates an error of less than 10%. The estimation of SEBAL algorithm is acceptable. Remote sensing technique and the SEBAL algorithm can be used in the compression classification and even the health of forests if there is a suitable sequence of images and with the help of satellite data of other sensors such as Sentinelimages. | ||
| کلیدواژه‌ها [English] | ||
| Energy balance equation, Sentinel, TM sensor, Zagros forests | ||
| مراجع | ||
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