نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانش‌آموخته کارشناسی ارشد مهندسی و مدیریت منابع آب دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
2 استادیار گروه اکولوژی، پژوهشگاه علوم و تکنولوژی پیشرفته و علوم محیطی، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
چکیده
تخمین درست توزیع مکانی تبخیر تعرق واقعی (ET) روزانه، موجب ارتقاء کارائی مدیریت منابع آب بخصوص در مناطقی که با محدودیت این منابع مواجهند، می‌شود. در پژوهش حاضر، ET با استفاده از الگوریتم بیلان انرژی در سطح زمین (SEBAL) و مدل تجربی فائو-پنمن- مانتیث(FPM) برآورد و سپس با مقادیر بدست آمده از روش تشت تبخیر، مقایسه و صحت‌سنجی شد. از آن‌جا که عوامل مختلفی بر مقادیر ET تأثیرگذارند، در نهایت با انجام آنالیز حساسیت، میزان حساسیت مقادیر ET الگوریتم SEBAL نسبت به تغییر پارامترهای ورودی، بررسی شد. در این راستا، الگوریتم SEBAL با استفاده از داده‌های ماهواره Landsat8 (سنجنده OLI و TIRS) در مقیاس روزانه برای دوره زمانی 25/7/2018 تا 11/9/2018 اجرا شد. نتایج SEBAL نشان داد که مقادیر شاخص‌های SEE،RMSE ،R2 ، نسبت به اندازه‌گیری‌های تشت تبخیر به ترتیب برابر 27/1، 76/0 و 77/0 میلی‌متر بر روز و برای روش تجربی FPMبه ترتیب برابر با 91/0، 6/0 و 92/0 میلی‌متر بر روز است.
کلیدواژه‌ها
عنوان مقاله [English]
Verification of Estimated Evapotranspiration by Surface Energy Balance Algorithm for Land and the information of OLI and TIRS sensors
نویسندگان [English]
- Elham Mahmodzadeh 1
- Sedigheh Anvari 2
1 MSc Graduate in Engineering and Water Resources Management, Graduate University of Advanced Technology
2 Assistant Prof. Department of Ecology, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran
چکیده [English]
The accurate estimation of daily Evapotranspiration (ET) improves the efficiency of water resources management especially in areas where suffers from water scarcity. In the present study, ET was estimated using surface energy balance algorithm for land (SEBAL) and the experimental model of FAO-Penman-Monteith (FPM) and finally compared and verified with those calculated from pan evaporation method. Since many climatic factors affect the ET values, the sensitivity analysis of SEBAL inputs variables was finally cerried out to determine the key affecting parameters. In this regard, by SEBAL model and emplying the satellite data of Landsat 8 (OLI and TIRS sensors), the ET values were estimated on a daily scale for the time period 2018/07/25 to 2018/09/11. Results of SEBAL model showed that the values of SEE, RMSE and R2 indices were equal to 1.27, 0.76 and 0.77 mm /day and 0.91, 0.6 and 0.92 mm /day, while compared with those of FPM and pan evaporation methods, respectively.
کلیدواژه‌ها [English]
- Sensitivity Analysis
- Remote Sensing
- Landsat 8
- pan evaporation
- FAO-Penman-Monteith
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