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N ( h) 1 2 γ ( h) = [ ( ) ( )] ( ) ∑ z xi − z xi + h 2N h i= 1 where: N(h) is number of pairs of points located at a distance h. For each semivariogram three characteristic parameters were distinguished: nugget, sill and range. Known mathematical functions (exponential, spherical linear, etc.) were fitted to the experimentally derived semivariogram that was used further for spatial analysis and its visualization by space estimation of a given physical property applying standard kriging method [1, 2]. 50 Odległość - Distance [m] 40 30 20 10 0 0 50 100 150 200 Odległość - Distance [m] Fig. 1. Location of sampling points on the Trzebieszów commune area (left) and selected individual cultivated field (right). RESULTS AND DISCUSSION The studied soils were rich in sand (60% in average), twice as less was silt fraction and six times less clay, that is shown in Table 1. These proportions were similar in both commune and field areas. Values of pH indicated high soil acidity, somewhat lower for the commune (4,7 in average) that for the field (4,2). Generally, the variations in the analyzed soil properties were high within both areas. The highest dispersion of the measured values was observed for sand fraction and the lowest for clay, and the highest differences between the commune and the field were noted for sand content. Dispersion in pH values was two times higher for the commune that for the field. The coefficient of variability for defined granulometric fractions content was the highest for clay (over 40%), and the lowest for sand (14-18%) that was in reverse order that the respective average values. The coefficient of pH variability was two times lower for the field that for the commune area. The statistical distributions of all but silt-in-commune granulometric fractions were asymmetric (slightly right-hand skewed) and values of kurtosis were close to 146
normal distribution (with the exception of clay fraction in commune scale). The distribution of pH values was also right-hand skewed and the kurtosis for commune was close to the normal. Field pH distribution was smoother than in commune. Table 1. Statistical parameters for granulometric fraction content and pH in 0-10 cm soil layer within commune and field areas. Commune Field Parameter % of fractions, mm pH % of fractions, mm pH 1-0,1 0,1-0,02
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PHYSICS, CHEMISTRY AND BIOGEOCHEMIS
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IN MEMORIAM Dr Ludmila Petrovna Kor
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magnetic (ferrimagnetic) oxides, ma
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educed water activity, would favour
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In this paper AT sorption by surfac
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were obtained with clay content, pH
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In present investigation the quartz
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Hence, the micromorphology suggests
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As the indicators of soil aeration
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Stomatal diffusive resistance of th
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indicators of soil aeration conditi
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REFERENCES 1. 2. 3. 4. 5. 6. 7. 8.
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Table 1. Breakdown of numbers and t
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MORPHOLOGICAL AND PHYSICOCHEMICAL P
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conditions, existing at the first p
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INFLUENCE OF TEMPERATURE ON WATER P
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moisture % 100 90 80 70 60 50 40 so
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STATE OF MICROBIAL COMMUNITIES IN M
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million cells/g soil 25 20 15 10 5
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THE INFLUENCE OF COMPOSITION AND PR
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days grew faster than on substrate
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SOIL SALINITY AND CLIMATE CHANGES I
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POROUS STRUCTURE OF NATURAL BODIES
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These nonuniform classification sys
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Mercury intrusion data are plotted
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METHOD AND MATERIALS The shear stre
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wheat flour NaCl salt fine milk Fig
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The shear experiments revealed two
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Variable charge of mineral surfaces
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3. Huffaker RC and Wallace A 1958 P
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Q V (pH)/N t = α(pH) = n ∑ i= 1
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REFERENCES 1. De Wit, J.C.M, Van Ri
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BM - biomass; NM - necromass; MM -
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thousand times at the absence of co
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. m 131.5 131.0 I Height above sea
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SEASONAL VARIABILITY OF SOIL WATER
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The mean difference (MD) and the ro
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Acknowledgement This paper presents
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1992; Selim 1999). The relative imp
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1.0 C rel 0.5 0.0 v=0.7 D=3.28 v=0.
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1.0 a b C rel 0.5 0.0 0 1 2 3 0 1 2
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Comparison of before- and after-pul
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provides the accessibility of catio
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MODEL RESEARCH ON FORMATION OF SYNT
Page 90 and 91: The analysis of the specific surfac
Page 92 and 93: PHOSPHATE-INDUCED CHANGES IN THE SP
Page 94 and 95: According to the data of Table 1, t
Page 96 and 97: MINERAL-ORGANIC COMPOUND OF SOILS:
Page 98 and 99: RESULTS AND DISCUSSION An analysis
Page 100 and 101: INTRODUCTION CHEMICAL DEGRADATION O
Page 102 and 103: of organic particles and their elec
Page 104 and 105: HNO 3 -extractable form is very clo
Page 106 and 107: Results demonstrated that Pb and Cd
Page 108 and 109: tion was measured using the Tjurina
Page 110 and 111: OUTPUT FLUXES OF LEAD IN FOREST ECO
Page 112 and 113: Regional data on Pb concentrations
Page 114 and 115: DEVICE FOR EVALUATION OF THE RAPE P
Page 116 and 117: SPECTROSCOPIC COMPARISON OF HUMIC A
Page 118 and 119: ehavior of sequentially extracted H
Page 120 and 121: MODERN MONITORING SYSTEMS FOR THE M
Page 122 and 123: The control of the measurement syst
Page 124 and 125: ASORPTION AND SURFACE AREA OF SOILS
Page 126 and 127: Nm xCBET N = ( 1− x BET − )[ 1+
Page 128 and 129: According to this, when x/N (1-x) i
Page 130 and 131: POTENTIAL OF AZOLLA CAROLINIANA TO
Page 132 and 133: The decrease of Pb(II) and of Cd(II
Page 134 and 135: 12. 13. 14. 15. 16. Piechalak, A.,
Page 136 and 137: Kloc, 2001]. Nitrogen adsorption is
Page 138 and 139: This is worth noting that the lower
Page 142 and 143: Exemplary spatial distributions (sa
Page 144 and 145: This is worth noting that significa
Page 146 and 147: adsorbed chemicals to microorganism
Page 148 and 149: were detected in the untreated soil
Page 150 and 151: 0.4 1000 Moisture [Vol.] 0.3 0.2 0.
Page 152 and 153: NITROUS OXIDE EMISSION FROM SOILS W
Page 154 and 155: N2O-N [mg kg -1 ] 100 80 60 40 20 0
Page 156 and 157: LITERATURE 1. 2. 3. 4. 5. 6. 7. 8.
Page 158 and 159: where v(t) - CO 2 production rate;
Page 160 and 161: carbon was involved mainly into mic
Page 162 and 163: Demkin Vitaliiy DrSc Dmitrakov Leon
Page 164 and 165: Priputina Irina PhD Rudko Tadeusz P
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