برآورد حجم آب مصرفی در بخش کشاورزی پایین‌دست سد حسنلو با استفاده از الگوریتم METRIC

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد سنجش از دور، مرکز تحقیقات سنجش از دور (RSRC)، دانشگاه صنعتی شریف، تهران، ایران.

2 دانشیار، گروه انرژی های نو و محیط زیست، دانشکده علوم و فنون نوین، دانشگاه تهران، تهران، ایران.

3 استاد، مدیر مرکز تحقیقات سنجش از دور (RSRC)، دانشکدۀ مهندسی عمران، دانشگاه صنعتی شریف، تهران، ایران.

چکیده

توسعه بی رویه اراضی کشاورزی، کاشت محصولات با نیاز آبی بالا در سطح حوضه آبخیز دریاچه ارومیه و همچنین راندمان پایین آبیاری سبب کاهش چشمگیر سطح دریاچه در سال‌های اخیر گردیده است، بنابراین برآورد مصرف آب در بخش کشاورزی می تواند در مدیریت صحیح بخش کشاورزی و مدیریت منابع آب کارآمد واقع گردد. در این مطالعه با استفاده از الگوریتم METRIC و تصاویر ماهواره Landsat 8 و MODIS مقادیر تبخیرتعرق واقعی برای بخشی از حوضه آبخیز دریاچه ارومیه - اراضی پایاب سد حسنلو- برای سال های 1394 و 1395 شمسی تخمین زده شده است. سپس با در نظر گرفتن بارش در ایستگاه سینوپتیک نقده به‌عنوان نماینده بارش در منطقه موردمطالعه، میزان آب آبیاری مصرف‌شده در بخش کشاورزی در پایین‌دست سد حسنلو تخمین زده شد و با مقدار آب تخصیص داده‌شده به این سد و حجم آب تخمین زده‌شده توسط سامانه WaPOR مقایسه گردید. براساس نتایج بدست آمده از الگوریتم METRIC مقادیر تبخیر و تعرق محاسبه شده از تصاویر ماهواره Landsat هشت، 468 و 315 میلی متر و از تصاویر ماهواره MODIS، 240 و 208 میلی متر برای سال‌های 1394 و 1395 محاسبه شده است. میزان مصرف تخمینی از الگوریتم METRIC، اختلاف قابل‌توجهی با مقادیر تخصیص داده‌شده و سامانه WaPOR دارد به‌طوری‌که تقریباً در تمام ماه‌های دو سال مذکور، مقادیر برآورد شده بسیار بیشتر از مقادیر آمار زمینی و سامانه WaPOR است. این اختلاف میان METRIC با آمار زمینی و با سامانه WaPOR در منطقه مطالعاتی به ترتیب برابر 23 و 26/6 میلیون مترمکعب محاسبه شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Estimation of water consumption in the downstream agricultural area of Hasanlu Dam using METRIC algorithm

نویسندگان [English]

  • Fatemeh Kordi 1
  • Hossein Yousefi 2
  • Masoud Tajrishi 3
1 M.Sc. of Remote Sensing, Researcher of Remote Sensing Research Center (RSRC), Sharif university of Technology, Tehran, Iran.
2 Associate professor, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
3 Professor, Director of Remote Sensing Research Center (RSRC), Faculty of Civil Engineering, Sharif university of Technology, Tehran, Iran.
چکیده [English]

Irregular development of agricultural areas, crops planting with high water need in the Urmia Lake Basin and also low irrigation efficiency have caused a significant reduction in the lake surface in recent years, so estimating water consumption in agriculture can be efficient in both accurate agriculture management and water resources management. In this context, by using METRIC algorithm and Landsat 8 and MODIS satellite images, the actual evapotranspiration have been estimated for a part of the Urmia Lake basin - Hasanlu dam downstream - in the year 2015 and 2016. Therefore, by considering the percipitation at Naghadeh station as the representative of percipitation in the study area, the valoum of irrigation water used in the agricultural area downstream of Hasanlu Dam was estimated. Then, the valoum of water allocated to this dam and estimation water volume was compared to the WaPOR product. The estimated values for Landsat 8 are 468 and 315 mm and for MODIS, 240 and 208 mm for 2015 and 2016, respectively. The estimated usage of the METRIC algorithm is significantly different from the allocated values and the WaPOR system. The estimated values are far higher than the ground statistics and the WaPOR system for nearly all months of the two years. The difference between METRIC and ground statistics and WaPOR product in the study area is calculated equal 23 and 26.6 million cubic meters, respectively.

کلیدواژه‌ها [English]

  • Evapotranspiration
  • Hasanlu Dam
  • METRIC
  • Urmia Lake Basin

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مدیریت آب و آبیاری
دوره 12، شماره 1
فروردین 1401
صفحه 171-185

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