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   ارزیابی و تعیین موثرین شاخص بر حساسیت خاک به تشکیل اندوده سطحی با بهره‌گیری از رگرسیون ریج  
   
نویسنده اسدی فرد ژیلا ,احمدی عباس ,جعفرزاده علی اصغر ,کرمی علیداد ,علوی کیا سیامک
منبع دانش خاك و گياه - 1403 - دوره : 34 - شماره : 1 - صفحه:44 -56
چکیده    تحقیق حاضر برای شناسایی شاخصی کارآمد برای تعیین حساسیت خاک به تشکیل اندوده در منطقه دشت کوار استان فارس انجام شد. برای انجام این تحقیق80 نمونه مرکب خاک (20-0 سانتی‌متری) از دشت کوار استان فارس تهیه گردید. سپس پارامترهای توزیع اندازه ذرات خاک، رطوبت جرمی، ماده آلی، هدایت الکتریکی و ph عصاره گل اشباع اندازه‌گیری شدند. همچنین میانگین وزنی قطر خاکدانه‌ها، میانگین هندسی قطر خاکدانه‌ها، کربنات کلسیم معادل، بعد فرکتالی، درصد اشباع ، سدیم، کلسیم، منیزیم، نسبت جذب سطحی سدیم، هدایت هیدرولیکی اشباع و جرم مخصوص ظاهری خاک تعیین ‌شد. ارزیابی حساسیت خاک به تشکیل اندوده با مقایسه معادله های رگرسیونی هفت شاخص مختلف از جمله شاخص پایداری ساختمان خاک (ssi)، شاخص سله‌بندی (ci)، شاخص پایداری خاکدانه مرطوب (was)، شاخص حساسیت به سله بستن (csi)، شاخص پایایی (c5- c10)، مقاومت در برابر نفوذ (pr) و شاخص نسبی اندوده بستن (rsi) انجام و برای تحلیل داده‌ها از روش همبستگی پیرسون و رگرسیون خطی چندگانه ریج به روش گام به گام پس رونده و با استفاده از نرم‌افزارهای statistica، spss-26 و minitab استفاده گردید. در مطالعه حاضر بهترین مدل‌‌های رگرسیونی برازش داده شده جهت توصیف حساسیت پذیری خاک به تشکیل اندوده سطحی متعلق به شاخص های پایداری خاکدانه و سله‌بندی فائو بودند. بر اساس نتایج حاصله شاخص پایداری خاکدانه با ضریب تبیین اصلاح شده 92/0 r2 adj=در پیش بینی حساسیت خاک به تشکیل اندوده قابلیت بالایی داشت و موثرترین شاخص در بیان تغییرات پایداری خاکدانه و تشکیل اندوده سطحی بود.
کلیدواژه اندوده سطحی، پایداری خاکدانه، رگرسیون چند متغیره ریج، کیفیت خاک، مدل رگرسیونی
آدرس دانشگاه تبریز, دانشکده کشاورزی, گروه علوم و مهندسی آب, ایران, دانشگاه تبریز, دانشکده کشاورزی, گروه علوم و مهندسی خاک, ایران, دانشگاه تبریز, دانشکده کشاورزی, گروه علوم و مهندسی خاک, ایران, مرکز تحقیقات کشاورزی استان فارس, ایران, دانشگاه تبریز, دانشکده کشاورزی, گروه به نژادی, ایران
پست الکترونیکی ss.alavikia@tabrizu.ac.ir
 
   evaluation and determination of the most effective index on soil sensitivity to the surface sealing using ridge regression  
   
Authors asadi fard zhila ,ahmadi abbas ,jafarzadeh ali asghar ,karami alidad ,alavikia siamak
Abstract    abstract:background and objectives:the surface seal formation can have destructive agricultural, hydrological and environmental effects. seal formation is a complex mechanism that controlled by a wide range of factors such as soil properties, rainfall characteristics, and flow conditions. the present research was conduct in order to identify an efficient index to determine the sensitivity of soil to the seal formation in the soil of kowar plain region of fars province.methodologyin the present study, according to the area of the region, 160 sampling points selected, then according to the characteristics of the studied area and type of land use, to achieve the goals of the research, first, the land use, geology and topography maps of the area is prepared and by doing several times of field work in different seasons of the year, the topographies and shapes in the maps and pictures were adapted to the environmental conditions. to carry out this research, 80 composite soil samples (0-20 cm) were prepared from the kovar plain of fars province. then the parameters of soil particle size distribution, mass moisture, organic matter, electrical conductivity and ph of saturated mud extract measured. then the parameters of soil particles size distribution, volume wetness, organic matter, electrical conductivity and ph of saturated mud extract, measured. also, mean weight diameter(mwd), geometric mean diameter(gmd), calcium carbonate equivalent, fractal dimensions, saturation percentage, sodium, calcium, magnesium, sodium absorption ratio (sar), saturated hydraulic conductivity (ks) and bulk density were determined. assessing the sensitivity of the soil to the surface seal formation by comparing the regression equations of seven different indices, including the soil structural stability index (ssi), crusting index (ci), water aggregate stability (was), crusting susceptibility index (csi), consistency index (c5 - c10), penetration resistance (pr) and relative sealing index (rsi) carried out in data preprocessing, descriptive statistics of variables such as mean, maximum, minimum and variance, data distribution diagram and data distribution obtained using minitab- 19 software. in addition, in case of remote data or mistakes in entering the data, appropriate measures taken and a table of descriptive information was prepared. the normality of the frequency distribution of these features evaluated using the significance test of skewness. to explain the ability of indicators and statistics in seal formation, first, linear correlation between variables determined by spss-22 software and by using pearson's correlation coefficient (r), the correlation relationship between the indices and early characteristics of the soil was obtained and for data analysis, pearson's correlation method and ridge multiple linear regression were used by stepwise backward method and using statistica, spss-26 and minitab-19 software.findings:in terms of the soil structural stability index, the studied area was in the danger range of aggregate destruction, which can considered relevant to the high percentage of silt in the region. the sodium surface absorption ratio of the majority of soil samples in the study area, had a non-sodium rating. 95% of the samples with agricultural land use in terms of organic matter were located in the weak to medium with structure and structure stability group. the majority of samples had more than 20% clay. most of the measured variables had a low coefficient of variation and in terms of data distribution and dispersion, had a relatively favorable situation. clay was the common variable in five regression equations of the indices, which refers to the importance and dual role of clay in the aggregates stability and reducing the sensitivity to compaction. the relatively low value of the standard deviation in the soil structural stability index indicated the greater accuracy of this model in estimating the coefficients. in the present study, the best-fitted regression model, to describe the sensitivity of the soil to the surface seal formation, compared to other models, belong to the soil structural stability and crusting indices.conclusion:based on the results obtained, the soil aggregate stability index with the modified coefficient of explanation r2=0.92 had a high capability in predicting the sensitivity of the soil to the seal formation and is the most effective index in expressing the changes in soil aggregate stability and the surface sealing. the results of the data analysis expressing the extreme limitation class of the mean weight diameter was in the soil of the region.
Keywords aggregate stability ,regression model ,ridge multivariate regression ,sealing surface ,soil quality
 
 

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