نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد هواشناسی کشاورزی، گروه مهندسی آب، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران
2 گروه مهندسی آب، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری ، ایران
3 گروه مهندسی آب، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران
چکیده
بارش از عناصر بنیادی مطالعات آب وهواشناسی به شمار میرود. به دلیل تعداد و تراکم محدود ایستگاه های باران سنجی و نبود ایستگاه هواشناسی در مناطق کوهستانی و سخت گذر، استفاده از محصولات بارش ماهوارهای به عنوان ابزاری موثر در پیشبینی توزیع مکانی منطقه ای بارش مورد توجه محققین قرار گرفته است. اما عیب آن خطای تخمین بالای بارش در منطقه است که نیاز به ارزیابی دقت این داده ها، قبل از استفاده است. برای این منظور بر مبنای داده های بارش 21 ایستگاه هواشناسی استان مازندران از سال 2018-1998، کارایی داده های بارش ماهواره TRMM و دو روش درونیابی کریجینگ و وزنی عکس فاصله مورد بررسی قرار گرفت. نتایج نشان داد بر خلاف همبستگی مناسب شبکه TRMM با داده های واقعی، این شبکه دارای خطا اریبی بالایی است. مثلاً در مورد داده های سالانه بارش، خطای اریبی شبکه به 70 میلیمتر رسید که تقریباً حدود 30 درصد خطای سالانه میباشد. ضرایب اصلاح خطای شبکه در استان مازندران بین 0 و 2 بدست آمد که بیشتر ضرایب بالاتر از یک بود که بیانگر آن است که شبکه TRMM در مازندران عمدتاً دچار خطا کم برآوردی میباشد. مقایسه دقت شبکه اصلاح شده TRMM با روش های درونیابی مورد بررسی بیانگر آن بود که استفاده از شبکه اصلاح شده به جای روشهای درونیابی در ترسیم نقشههای همبارش، مقدار میانگین مربعات خطا سالانه بارش را از 237 به 186 میلیمتر کاهش میدهد.
کلیدواژه‌ها
عنوان مقاله [English]
Investigating modification coefficients of TRMM rainfall network in Mazandaran province
نویسندگان [English]
- Fateme Khorsandi 1
- mehdi nadi 2
- Abdollah Darzi-Naftchali 3
1 M.Sc student of Agrometeorology, Department of Water Engineering, faculty of Agricultural engineering, Sari Agricultural sciences and Natural Resources University, Sari, Iran.
2 Department of water engineering,, faculty of Agricultural engineering, Sari Agricultural sciences and Natural Resources University, Sari, Iran
3 Department of Water Engineering, Faculty of Agricultural engineering, Sari Agricultural sciences and Natural Resources University, Sari, Iran.
چکیده [English]
Precipitation is one of the basic elements of Hydrometeorological studies. Due to the limited number of rain-gauging stations and the lack of meteorological stations in highland area, the use of satellite rainfall products as an effective tool in predicting the regional spatial distribution of precipitation data has attracted the attention of researchers. But its disadvantage is the high estimation error of rainfall estimation, which requires accuracy evaluating before using. For this purpose, based on the rainfall data of 21 meteorological stations of Mazandaran province from 1998-2018, the performance of TRMM data and two interpolation methods of kriging and inverse distance weighting were investigated. The results showed that contrary to the proper correlation of TRMM data with observed data, this network has a high bias error. For example, in the case of annual rainfall data, the network bias error reached 70 mm, which is approximately 30% of the annual error. The modification coefficients of TRMM data were found between 0 and 2, that most of the coefficients were higher than one, which indicates the TRMM data in Mazandaran mostly has an underestimation error. The comparison of modified TRMM with the interpolation methods showed that using the modified network instead of interpolation methods in estimation of rainfall data reduces the mean square error of annual rainfall from 237 to 186 mm.
کلیدواژه‌ها [English]
- Rainfall network modification
- Kriging
- Mazandaran
- Inverse distance weighting
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