تخمین تبخیر - تعرق واقعی با استفاده از کالیبراسیون خودکار در الگوریتم‌های PYSEBAL و METRIC در دشت قزوین

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی آب، دانشگاه بین‌المللی امام خمینی (ره)، قزوین، ایران.

2 عضو هیات علمی گروه مهندسی آب دانشگاه بین المللی امام خمینی (ره)

چکیده

برآورد تبخیر - تعرق واقعی در پهنه‌های وسیع و با فاصله زمانی مناسب، امری مهم در مدیریت بهینه منابع آب است. نیاز مداوم به داده‌های تبخیر - تعرق، موجب ابداع روش‌های متعددی برای برآورد آن شده است. در سال‌های اخیر استفاده از روش سنجش‌ازدور به‌منظور برآورد میزان تبخیر - تعرق در نواحی وسیع و باقدرت تفکیک مکانی و زمانی مطلوب ارائه‌شده است. در این پژوهش کارایی کالیبراسیون خودکار دو الگوریتم رایج تبخیر - تعرق تک منبعی برآورد شده از PYSEBAL و METRIC با نتایج یک لایسیمتر زهکش‌دار کشت‌شده با چمن در محدوده دشت قزوین مورد مقایسه قرار گرفتند. در همین راستا از 15 تصویر TM، 22 تصویر ETM+ و 24 تصویر MODIS بدون ابر و برف در طی سال‌های 1379 تا 1382 استفاده شد که در مجموع از هر دو الگوریتم  122 خروجی حاصل شد. نتایج حاصل از این پژوهش نشان داد که الگوریتمMETRIC  در هر سه سنجنده به ترتیب با مقدار RMSE  (42/0، 42/0 و 05/1 میلی‌متر بر روز) عملکرد بهتری را نسبت به مدلPYSEBAL  داشته است. همچنین بررسی‌های صورت‌گرفته از سه سنجنده مورد بررسی نشان داد که سنجنــــده   MODI با مقدار خطای استاندارد (15/0 میلی‌متر بر روز) و ضریب همبستگی (98/0) در مقایسه با دو سنجنده ETM+  و TM با مقدار ضریب همبستگی به ترتیب (97/0 و 92/0)، خطای استاندارد (17/0 و 59/0 میلی‌متر بر روز) توانسته است نتایج بهتری را ایجاد کند. از کاربرد اجرایی این پژوهش می‌توان به برآورد مقدار دقیق تبخیر - تعرق در اراضی تحت آبیاری برای برنامه‌ریزی تخصیص آب، بهینه‌سازی تولید محصول، مدیریت آبیاری و ارزیابی اثر تغییر کاربری روی راندمان آب اشاره نمود. 

کلیدواژه‌ها

عنوان مقاله [English]

Estimation of Actual Evapotranspiration Using Automatic Calibration in PYSEBAL and METRIC Algorithms in Qazvin Plain

نویسندگان [English]

  • Mohadese sadat Fakhar 1
  • Abbas Kaviani 2
1 Department of Water Engineering, Faculty of Agricultural and Natural Resources, Imam Khomeini International University, Qazvin, Iran
2 Water Eng. and Science Dept., Imam Khomeini International University
چکیده [English]

Estimation of actual evapotranspiration over large areas with appropriate time intervals is important in the optimal management of water resources. The constant need for evapotranspiration data has led to the development of several methods for estimating it. In recent years, the use of remote sensing method to estimate the rate of evapotranspiration in large areas with the desired spatial and temporal resolution has been proposed. In this study, the automatic calibration efficiency of two common mono-source evapotranspiration algorithms estimated from PYSEBAL and METRIC were compared with the results of a drainage lysimeter planted with grass in the Qazvin plain. In this regard, 15 images TM, 22 images ETM+ and 24 images MODIS without cloud and snow during the years 2000 to 2003 were used, which in total 122 outputs were obtained from both algorithms. The results of this study showed that the METRIC algorithm in all three sensors with RMSE (0.42, 0.42 and 1.05 mm / day) respectively had better performance than the PYSEBAL model. Also, the studies performed from the three sensors showed that the MODIS sensor with standard error value (0.15 mm / day) and correlation coefficient (0.98) compared to the two ETM and TM sensors with correlation coefficient values (0.97 and 0.92), standard error (0.17 and 0.59 mm/day) have been able to produce better results. The executive applications of this study can be used to determine the exact amount of evapotranspiration in irrigated lands for water allocation planning, optimization of crop production, irrigation management and assessment of land use change on water effieiency.

کلیدواژه‌ها [English]

  • Remote Sensing؛ Daily Evapotranspiration؛ MODIS
  • Landsat5؛ Landsat7

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تحقیقات آب و خاک ایران
دوره 53، شماره 1
فروردین 1401
صفحه 113-127

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