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تحلیل الگوی پراکنش خاکها در یک منطقه هموار با استفاده از الگوریتم درخت تصمیمگیری | ||
تحقیقات آب و خاک ایران | ||
مقاله 160، دوره 50، شماره 2، خرداد و تیر 1398، صفحه 463-480 اصل مقاله (1.87 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2018.250737.667837 | ||
نویسندگان | ||
مرضیه زندی باغچه مریم* 1؛ پرویز شکاری2 | ||
1گروه علوم و مهندسی خاک-دانشکده کشاورزی-دانشگاه رازی-کرمانشاه-ایران | ||
2گروه علوم ومهندسی خاک، دانشکده کشاورزی،دانشگاه رازی، کرمانشاه، ایران | ||
چکیده | ||
نقشهبرداری رقومی خاک را میتوان تولید اطلاعات مکانی خاک تعریف کرد. یکی از روشهای محبوب که اخیراً در چندین مورد از مطالعات نقشهبرداری رقومی خاک بهکاررفته، درخت تصمیمگیری است. پژوهش حاضر بهمنظور ارزیابی قابلیت درخت تصمیمگیری در نقشهبرداری خاکها در منطقه میاندربند با مساحت50000 هکتار در استان کرمانشاه انجام شد. الگوریتم C5.0 (با و بدون متاالگوریتم بوستینگ) برای ایجاد روابط مکانی بین کلاسهای خاک و متغیرهای محیطی مورد استفاده قرار گرفت. بر پایه نمونهبرداری سیستماتیک 78 خاکرخ مورد مطالعه قرار گرفت و 6 گروه بزرگ و 14 زیرگروه شناسایی شد. 30 متغیر محیطی از مدل رقومی ارتفاع و تصویر سنجنده OLI/TIRS ماهواره لندست 8 مربوط به تاریخ تیرماه 1394 مشتق شد. صحت عمومی برای گروه بزرگ و زیرگروه برابر با 73 درصد به دست آمد درحالیکه مقادیر متناظر برای نمایه کاپا به ترتیب 61/0 و 63/0 بود. ترکیب متاالگوریتم بوستینگ با C5.0 مقادیر صحت عمومی را به ترتیب به 80 درصد و 76 درصد و مقادیر نمایه کاپا را به 72/0 و 66/0 افزایش داد. نتایج توانایی قابلتوجهی را برای درخت تصمیمگیری در باز شناخت الگوی خاک در منطقه موردمطالعه نشان داد و متغیرهای توپوگرافی از سایر متغیرهای محیطی پر اهمیتتر به نظر میرسید. همچنین، بررسی نقشههای تولیدشده از طریق مقایسه با الگوی خاک مشاهدهشده در خلال بررسی زمین، نشانگر تطابق پذیرفتنی پیشبینیهای الگوریتم درخت تصمیمگیری با واقعیت بود. | ||
کلیدواژهها | ||
نقشهبرداری رقومی خاک؛ الگوریتم C5.0؛ بوستینگ؛ متغیرهای محیطی؛ دشت میاندربند | ||
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