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پیشبینی سطح ویژه و ظرفیت تبادل کاتیونی با استفاده از بعد فرکتالی توزیع اندازه ذرات خاک | ||
تحقیقات آب و خاک ایران | ||
مقاله 11، دوره 45، شماره 4، دی 1393، صفحه 463-474 اصل مقاله (805.75 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2014.52599 | ||
نویسندگان | ||
لیلا اسماعیل نژاد1؛ جواد سیدمحمدی* 2؛ محمود شعبانپور3؛ حسن رمضان پور4 | ||
1دانشجوی دکتری گروه علوم خاک دانشگاه تهران | ||
2دانشجوی دکتری، گروه علوم خاک دانشگاه تبریز | ||
3دانشیار گروه علوم خاک دانشگاه گیلان | ||
4دانشیار، گروه علوم خاک دانشگاه گیلان | ||
چکیده | ||
ظرفیت تبادل کاتیونی و سطح ویژه از خصوصیات مهم خاکاند که اندازهگیری مستقیم آنها مشکل، پرهزینه، و وقتگیر است. بعد فرکتالی توزیع اندازة ذرات خاک در ارتباط با بسیاری از فرایندهای استاتیک و دینامیک خاکـ مثل انتقال آب و املاح، ظرفیت نگهداشت آب خاک، ذخیره و نگهداری گرمای خاک، و غیرهـ مطالعه شده و به مثابة ابزاری مناسب برای تخمین ویژگیهای مرتبط با بافت خاک معرفی شده است. در این تحقیق رابطة بعد فرکتالی توزیع اندازة ذرات با سطح ویژه و ظرفیت تبادل کاتیونی برای 40 نمونه خاک، که 32 نمونة آن برای یافتن روابط تجربی و 8 نمونة آن برای آزمون روابط بهدست آمده، از منطقة گیلوان با کلاسهای بافتی شنی تا رسی، که دارای مواد مادری متفاوت بودند، ارزیابی شد. نتایج نشان داد مقادیر بعد فرکتالی برای نمونههای خاک مطالعهشده از 45/2 تا 99/2 متغیر است؛ که با ریزشدن بافت خاک مقدار آن زیاد میشود. روابط رگرسیونی بهدستآمده بین بعد فرکتالی با سطح ویژه و ظرفیت تبادل کاتیونی توانی بود که ارزش ضریب تبیین برای آنها بهترتیب 87/0 و 80/0 و در سطح احتمال 1 درصد معنادار بود. آزمون روابط بهدستآمده بین بعد فرکتالی با درصد رس، سطح ویژه، و ظرفیت تبادل کاتیونی نشان داد بین مقادیر اندازهگیری و پیشبینیشده همبستگی معناداری در سطح احتمال 1 درصد برقرار است. این پژوهش نشان داد بعد فرکتالی توزیع اندازة ذرات خاک میتواند شاخصی مفید در مطالعات مدلسازی و شبیهسازی برای تخمین سطح ویژه و ظرفیت تبادل کاتیونی باشد. | ||
کلیدواژهها | ||
بافت خاک؛ تخمین؛ توابع توانی؛ گیلوان | ||
عنوان مقاله [English] | ||
Prediction of Specific Surface area and Cation Exchange Capacity Using Fractal Dimension of Soil Particle Size Distribution | ||
نویسندگان [English] | ||
Leila Esmaeelnejad1؛ Javad Seyedmohammadi2؛ Mahmood Shabanpour3؛ Hasan Ramezanpour4 | ||
1Ph.D student of soil science, Tehran University | ||
2Ph.D student of soil science, Tabriz University | ||
3Associate professor, Faculty of Agriculture, Guilan university | ||
4Assistance Professor, Faculty of Agriculture, Guilan university | ||
چکیده [English] | ||
Cation exchange capacity and specific surface area are among some of the important soil characteristics the direct measurement of which is laborious, costly and time consuming. Therefore, fractal dimension of particle size distribution has been widely studied in relation with many such dynamic and static processes as transmission of water and solutes, water holding capacity, heat storage and conductivity, etc., and as a useful parameter, it has been proposed for property estimation as related to soil texture. Throughout the present research, the relationship between fractal dimensions of particle size distributions (Dm) vs. specific surface and cation exchange capacity for 40 soil samples (32 samples for finding the empirical functions and 8 for testing of the derived functions), from Gilevan region, with textures ranging from sandy to clay and different parent materials were evaluated. The obtained results showed that the value of Dm of the soil samples ranged from 2.45 to 2.99; the finer the soil texture, the larger the fractal dimension Dm. The Dm-specific surface area and Dm-cation exchange capacity relationships were described by power functions (R2=0.87 and 0.80, (significant at probability level of 0.01)), respectively. Testing of Dm-clay content, Dm-specific surface area and Dm-cation exchange capacity relationships showed significant correlation (probability level of 0.01) for the measured vs. predicted data. The results indicated that Dm can be used as an integrating index for estimating the specific surface area as well as cation exchange capacity of soils from particle-size distribution, useful in modelings and simulations. | ||
کلیدواژهها [English] | ||
Soil Texture, Estimation, Power functions, Gilevan | ||
مراجع | ||
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