Remote Sensing and GIS Applications in Environmental Sciences

New interpolation methods to determine the best method of estimating the spatial distribution of precipitation

Document Type : Original Article

Authors

1 univercity tabriz

2 Master's student in remote sensing and geographic information system, Tabriz University

3 Doctoral student of geomorphology, environmental management orientation, Tabriz University

Abstract

One of the important issues in water resources management is the estimation of rainfall in areas where pregnancy has not been done. Due to the lack of complete coverage of the rain measuring stations, it is necessary to estimate the rainfall in the areas between the stations. . Estimation of unknown data at different points is done using interpolation methods on the measured data in the studied area. For this purpose, different methods are used to analyze spatial dataIn this research, a variety of common methods of interpolation and geostatistics have been used to estimate the average annual rainfall parameter of Chahar Mahal and Bakhtiari province. The statistics used are the statistics of 44 rain gauge stations for the period from 1980 to 2008. . Due to the extreme changes in the topography of the study area, the effect of altitude on the distribution of precipitation as a barrier against the spread of clouds has also been investigated. For this purpose, interpolation was calculated with various models and a prediction map was drawn. Then, using the mutual evaluation method, the square root of the errors and the error of the maps were estimated and one map was selected as the appropriate map The obtained results show that for the interpolation of the average annual rainfall methods that considered the heights as obstaclesThey show higher accuracies in the studied area, among which the fourth and fifth degree polynomial models showed the most suitable information for interpolation of average annual rainfall values

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Main Subjects

یکی از مسائل مهم در مدیریت منابع آب، برآورد توزیع بارندگی در مناطقی است که مقادیر  بارندگی اندازهگیری نشده است. به دلیل عدم پوشش کامل ایستگاههای اندازهگیری باران، تخمین بارش در مناطق میان ایستگاهها ضروری است. تخمین دادههای نامعلوم در نقاط مختلف با استفاده از روشهای درونیابی بر روی دادههای اندازهگیری شده در محدوده مورد مطالعه انجام میگیرد. به همین منظور روشهای متفاوتی برای تحلیل دادههای مکانی به کار گرفته میشود. در این تحقیق، از انواع روشهای متداول درونیابی و زمین آماری جهت برآورد پارامتر میانگین بارندگی سالانه استان چهار محال و بختیاری مورد استفاده قرار گرفته است. آمار مورد استفاده، آمار 99 ایستگاه باران سنجی برای دوره زمانی 1466 تا 3666 میباشد. با توجه به تغییرات شدید توپوگرافی منطقه مورد مطالعه، تأثیر ارتفاعات در توزیع بارش به عنوان مانع در برابر انتشار ابرها مورد هم مورد بررسی قرار گرفته است. بدین منظور درونیابی با انواع مدلها محاسبه و نقشه پیشبینی ترسیم شد. سپس با استفاده از روش ارزیابی متقابل، ریشه مجذور خطاها و خطای نقشهها برآورد شد و یک نقشه به عنوان نقشه مناسب انتخاب گردید. نتایج بدست آمده نشان میدهد که برای درونیابی میانگین بارندگی سالانه روشهایی که ارتفاعات را به عنوان موانع در نظر گرفتند، دقتهای بالاتری را در منطقه مورد مطالعه نشان میدهند، که از این میان مدلهای چندجملهای درجه چهار و پنج مناسبترین اطلاعات را برای درونیابی مقادیر میانگین بارندگی سالانه از خود نشان دادند. همچنین مقایسه روشهای دیگر برای برآورد خطای بارندگی سالانه نشان میدهد، روش کوکریجینگ انفصالی با مدل کروی تغییرات بارندگی در منطقه را بهتر نشان داده و با توپوگرافی منطقه هماهنگی بیشتری دارد.

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Remote Sensing and GIS Applications in Environmental Sciences
Volume 2, Issue 3 - Serial Number 3
September 2022
Pages 68-49
  • Receive Date: 14 September 2022
  • Revise Date: 23 October 2022
  • Accept Date: 21 September 2022