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تخمین نقطه ای منحنی رطوبتی خاک با استفاده از برخی ویژگی‌های فیزیکی و مکانیکی خاک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد دانشگاه زنجان

2 گروه علوم خاک، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران

3 استادیار، گروه خاکشناسی، دانشگاه زنجان

چکیده

منحنی رطوبتی از ویژگی‌های بنیادی خاک بوده که برای شبیه‌‌سازی جریان آب و انتقال توأمان آب و املاح در بخش غیراشباع خاک کاربرد دارد. بدلیل وقت‌گیر و پرهزینه بودن اندازه‌گیری منحنی رطوبتی خاک، امروزه روش‌های غیرمستقیم مورد توجه قرار گرفته است. پژوهش حاضر با هدف تخمین منحنی رطوبتی خاک با استفاده از حدود آتربرگ و برخی ویژگی‌های فیزیکی خاک برنامه‌ریزی شد. در این پژوهش تعداد 43 نمونه خاک از مناطق شمال‌غرب ایران برداشت شد به طوری‌که 28 نمونه برای توسعه مدل‌ها و 15 نمونه بمنظور ارزیابی اعتبار مدل‌ها مورد استفاده قرار گرفت. منحنی رطوبتی خاک در مکش‌های (1/0، 2/0، 3/0، 4/0، 1، 2، 3، 5، 10 و 15 بار) و ویژگی‌های فیزیکی و حدود آتربرگ خاک‌ها به روش-های استاندارد اندازه‌گیری شد. پس از بررسی همبستگی بین متغیرهای مستقل و ترکیبی در محیط نرم افزار SPSS با روش رگرسیون گام به گام، مناسب‌ترین ترکیب از متغیرهای مستقل انتخاب و معادله رگرسیونی چند متغیره برای تخمین منحنی رطوبتی ارائه شد. نتایج نشان داد که از بین ویژگی‌های اندازه‌گیری شده، درصد رس، جرم ویژه ظاهری، حد روانی و خمیری بیش‌ترین همبستگی را با مقدار رطوبت داشتند. مقادیر آماره‌های ضریب تبیین (89 درصد) و مجذور میانگین مربعات خطا (028/0) حاصل از تجزیه‌های آماری در کلیه مکش‌ها نشان دهنده اعتبار بالای توابع پیشنهادی برای تخمین منحنی رطوبتی می‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Point estimation of soil moisture characteristics curve using some soil physical and mechanical properties

نویسنده [English]

  • Mohammad Hossein Mohammadi 2

1

2 Department of Soil Science, Agriculture and Natural Resources Faculty, University of Tehran

3

چکیده [English]

Soil moisture characteristic curve (SMC) is a fundamental soil property for predicting and modeling water flow and solute transport in the unsaturated soil, but its direct measurement is tedious and time consuming. Therefore, various indirect methods (e.g., pedotransfer functions, PTFs) have been developed to predict SMC from easily available soil properties (EASP). We develop a procedure to predict SMC from ESAP and soil liquid limit (LL), and plastic limit (PL). Forty three soils were sampled from north-west of Iran. All of soil samples were divided in two groups; 28 and 15 soils samples were used to train and evaluate of the models, respectively . The SMC, (water content at the suctions 0.1, 0.2, 0.3, 0.4, 1, 2, 3, 5, 10 and 15 bar) and LL, PL and ESAP were measured through standard methods. Multiple linear regression analysis was used to make correlation between LL, PL and ESAP data as independent variables along with SMC data as the dependent variable, using the SPSS software and the stepwise algorithm. Results showed that among all measured soil properties, the clay content, bulk density, LL and PL had high correlation with the soil moisture content at different suction heads. Values of the coefficient of determination (89%) and root mean square error (0.028), obtained by the statistical analysis, indicated the validity of the models in the all of the suction heads.

کلیدواژه‌ها [English]

  • Atterberg limits
  • Point pedotransfer functions
  • Soil water-transmission
  • soil properties
  • Unsaturated soil
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تحقیقات کاربردی خاک
دوره 6، شماره 2
شهریور 1397
صفحه 84-95
فایل ها
سابقه مقاله
  • تاریخ دریافت: 23 آبان 1395
  • تاریخ بازنگری: 10 مرداد 1397
  • تاریخ پذیرش: 26 اردیبهشت 1396
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