همکاری با انجمن علمی مدیریت و کنترل مناطق بیابانی ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشکده مرتع و آبخیزداری، دانشگاه کشاورزی و منابع طبیعی گرگان، ایران

2 استاد، گروه احیاء مناطق خشک و کوهستانی، دانشکده منابع طبیعی دانشگاه تهران، کرج، ایران

چکیده

اولین گام در انجام درونیابی داده‌های میدانی، بررسی همبستگی مکانی آنها و تهیه نقشه خصوصیات خاک است. هدف از این پژوهش، بررسی کارآیی دو روش آمار مکانی کریجینگ و وزن‌دهی معکوس فاصله در تهیه نقشۀ خصوصیات خاک است. پنج واحد نمونه‌برداری در منطقه انتخاب شد و برای نمونه‌برداری از خاک با توجه به سطح واحدها و شرایط منطقه، محل حفر پروفیل‌ها طوریتعیین شد تا کل محدوده مورد مطالعه را پوشش دهد. در هر واحد، شش پروفیل خاک و در کل منطقه 30 پروفیل خاک حفر شد واز دو عمق 0-20 و 20-80 سانتی‌متر نمونه برداشت شد. متغیرهای خاک شامل درصد سنگریزه، رس، سیلت، شن، آهک، ماده آلی و هدایت الکتریکی اندازه‌گیری شد.در نرم‌افزار+ GSدقت دو روش آمار مکانی با استفاده از روش ارزیابی متقابل با کمک دو پارامتر آماری MAE و  MBEمورد آزمون قرار گرفت. طی نتایج این پژوهش MAE و MBE مربوط به روش کریجینگ برای اکثر پارامترهای خاک از روش وزندهی معکوس فاصله کمتر است و کریجینگ روش دقیق‌تری برای درونیابی خصوصیات خاک محسوب می‌شود.

کلیدواژه‌ها

عنوان مقاله [English]

Comparison of spatial statistical methods for mapping of soil characteristics. (Case Study: rangeland of eshtehard)

نویسندگان [English]

  • Narges Naseri Hesar 1
  • Mohammad ali Zare chahouki 2
  • Mohammad Jafari 2

چکیده [English]

Spatial correlation is the first step in the interpolation of field data and mapping of soil properties.The aim of this research was to study the efficiency of two spatial statistics methods i.e., Kriging and inverse distance weighting for mapping of soil properties.  Five sampling units were selected in the region, and the location of soil profiles was so determined to cover the whole area. In each unit, six profiles and totally 30 soil profiles were dug in the whole area. Soil samples were taken from two depths of 0-20 cm and 20-80cm. Soil variables including gravel, clay, silt, lime, organic matter, pH and EC were measured in both soil depths. In the GS+ software, the accuracy of two spatial statistics methods was tested using cross validation with the help of two statistical parameters: MAE and MBE. According to the results, MAE and MBE, related to the Kriging method, for the majority of soil parameters, are less than that of inverse distance weighting method; therefore, Kriging is a more accurate method to interpolate soil properties.
 

کلیدواژه‌ها [English]

  • Spatial statistics
  • Kriging
  • Normal Distance weighting
  • Rangeland ofEshtehard
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