نقشه برداری رقومی سه بعدی ظرفیت تبادل کاتیونی خاک در منطقه دورود استان لرستان

نوع مقاله : مقالات پژوهشی

نویسندگان

• روح الله تقی زاده مهرجردی ¹
• علیرضا امیریان چکان ²
• فریدون سرمدیان ³

¹ دانشگاه اردکان

² دانشگاه صنعتی خاتم النبیاء بهبهان

³ دانشگاه تهران

10.22067/jsw.v0i0.27761

چکیده

ظرفیت تبادل کاتیونی خاک از جمله خصوصیات مهم خاک می باشد که در پایگاه های داده ای مربوط به خاک و به عنوان ورودی در مدل های زیست محیطی و نیز مدل های مربوط به خاک به کار می رود. این مقاله از یک روش جدیدبرای پیش بینی تغییرات مکانی ظرفیت تبادل کاتیونی خاک به طور پیوسته (تا عمق یک متر) در منطقه دورود استان لرستان بهره می گیرد. در مطالعه حاضر از ترکیب معادلات عمق اسپیلاین با نواحی یکسان و تکنیک نقشه برداری رقومی خاک بهره گرفته شد تا با استفاده از تعداد محدودی نقطه (103 نقطه)، تغییرات سطحی و عمقی ظرفیت تبادل کاتیونی خاک در کل محدوده مورد مطالعه بررسی شود. جهت ارتباط دادن ظرفیت تبادل کاتیونی خاک و متغیرهای کمکی به دست آمده از تصاویر ماهواره ای و مدل رقومی ارتفاع، از مدل رگرسیون درختی استفاده شد. نتایج نشان داد که در پیش بینی پارامتر مذکور، بعضی از پارامترهای کمکی از جمله باند سه تصویر ماهواره و مساحت اصلاح شده حوزه دارای اهمیت بیشتری بودند. همچنین نتایج نشان داد که مدل درختی به خوبی متغیر هدف را در پنج عمق استاندارد با ضریب تبیین 84/0، 84/0، 84/0، 66/0، 27/0 و میانگین ریشه مربعات به ترتیب 75/1، 84/1، 84/1، 11/2، 16/2 پیش بینی کرده است که بیانگر قابل قبول بودن نتایج در همه اعماق (بجز عمق پنجم) می باشند. نتایج تحقیق حاضر نیز نشان داد که استفاده از نقشه برداری رقومی، رگرسیون درختی و معادله اسپیلاین با نواحی یکسان ابزارهایی قدرتمند جهت برآورد تغییرات مکانی ظرفیت تبادل کاتیونی خاک به صورت جانبی و عمقی می باشند.

کلیدواژه‌ها

• رگرسیون درختی
• معادلات عمق خاک
• نقشه برداری رقومی خاک

20.1001.1.20084757.1394.28.5.13.1

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عنوان مقاله [English]

3D Digital Mapping of Soil Cation Exchange Capacity in Dorud, Lorestan Province

نویسندگان [English]

• R. Taghizadeh Mehrjerdi ¹
• A. Amirian Chekan ²
• F. Sarmadian ³

¹ University of Ardakan

² Behbahan Khatamolanbia University of Technology

³ University of Tehran

چکیده [English]

There is an increasing demand for reliable large-scale soil datato meet the requirements of models for planning of land-usesystems, characterization of soil pollution, and prediction ofland degradation. Cation exchangecapacity (CEC) is among the most important soil propertiesthat are required in soil databases. This paper applied a novel method for whole-soil profile predictions of CEC (to 1 m) across Dorudlocated in LorestanProvince. At present research, we combined equal-area spline depth functions with digital soil mapping techniques to predict the vertical and lateral variations of CEC across the study area where limited soil information exists (103 soil profiles). To model the relationship between CEC and environmental factors (i.e. Representative soil forming factors), derived from a digital elevation model and Landsat imagery, a regression tree was applied. Results indicated that some auxiliary data had more influence on the prediction model (i.e. B3 and modified catchment area). Our results also confirmed the regression tree model predicted target variable at the five specific depths with coefficient of determination of 0.84, 0.84, 0.84, 0.66, 0.27 and root mean square of 1.75, 1.84, 1.84, 2.11, and 2.16, respectively. Results showed a reasonable R2 in first four depths ranged from 0.66 to 0.84; while, it decreases to 0.27 in the last depth. Our results also confirmed that the regression tree as a predictive model, digital soil mappingtechniqueand equal area splinesare powerful tools to predict lateral and vertical variation of CEC.

کلیدواژه‌ها [English]

• Regression tree
• Soil depth function
• Digital soil mapping

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