Soil samples depth

Japan Ichinokawa mine, Ehime 4 soil samples (depth 0—12 cm) 1160-1960 Mitsunobu, Harada and Takahashi (2006), S1... 

Figure 3. The effects of soil sample depth on the aerobic degradation of metribuzin in 6 different soils under comparable conditions in the laboratory. Different symbols indicate different soil types. When the degradation kinetics were not first-order, the time required for 50% degradation is shown instead. (Data compiled from Ref. 15, , 59, 60.1...

Averaging Method. A drill rig and auger were used to collect columns of soil from depths of 0 to 6, 0 to 12, 0 to 24, 0 to 36, and 0 to 48 inches. The holes were drilled about one foot apart and the augers decontaminated between holes. Each of the five samples were transferred to a clean, stainless-steel pan and thoroughly blended prior to splitting into the sample containers. 

All application verification and soil samples must be individually labeled with unique sample identification (ID) and other identifying information such as study ID, test substance name, sample depth, replicate, subplot and date of collection, as appropriate. Proper study documentation requires that sample lists and labels be created prior to work commencing in the field. Water- and tear-resistant labels should be used since standard paper labels may become water-soaked and easily torn during sample handling. Sample lists should have the same information on them as the labels and are a convenient place to record plot randomization, initials of the individual who collected the sample, and date of collection. As such, the sample list is important in establishing chain of custody from the point of sample collection until its arrival at the laboratory. 

Once soil samples have been analyzed and it is certain that the corresponding results reflect the proper depths and time intervals, the selection of a method to calculate dissipation times may begin. Many equations and approaches have been used to help describe dissipation kinetics of organic compounds in soil. Selection of the equation or model is important, but it is equally important to be sure that the selected model is appropriate for the dataset that is being described. To determine if the selected model properly described the data, it is necessary to examine the statistical assumptions for valid regression analysis. 

A survey of Big Trees Park was conducted in 1998 after soil samples taken in the park in 1993 and 1995 revealed higher-than-expected concentrations of plutonium (LLNL 1999). Big Trees Park is a public park in the city of Livermore, California located about one-half mile from Lawrence Livermore National Laboratory (LLNL). The pattern of241 Am distribution was the same as that for plutonium with levels significantly higher inside ornamental tree wells than outside the wells or at depths. Activity levels were well below EPA s residential preliminary remediation goal of 2.5 pCi/g (93 mBq/g) which may have necessitated cleanup. The source of the contamination was most likely sewage sludge from LLNL that was applied to the ornamental trees in the park. 

The effects of soil depth and moisture on pesticide photolysis were studied. Moist soil at depth of 3, 2.5, 2, 1.5, 1, and 0.5 mm were each dosed at 2.5 pg/g with 14C-niclosamide and photolyzed under a xenon lamp at constant temperature. Samples were removed after 20, 40, 110, and 153 h of continuous irradiation. The decrease in percent of niclosamide and the appearance of degradates were followed by analyzing the soil extracts by HPLC [76],... 

A building consultant has asked a laboratory to carry out a series of measurements on a range of determinands in a number of soil samples taken from an area of land. The purpose of the analysis is to determine if the soil is contaminated. Based on the results, it is the opinion of the laboratory that the land is contaminated and that the soil needs to be removed to a depth of 2 m and filled with clean soil. 

Two commercial partial extraction techniques improve anomaly contrast in B horizon soil samples compared to aqua regia-ICPMS for Cu and Au. However, whereas the MMIsm and Bio LeachSM Cu profiles are similar, the MMIsm Au signal is much larger than that for Bio LeachSM. Analysis of samples at different depths down the B soil horizon profile indicates that the geochemical response from these methods is depth dependant. 

Soil samples were collected along a traverse over the Honerat kimberlite and extended off the kimberlite approximately 75 m SE and 225 m NW from the pipe s centre (Fig. 1). Although it is common practice to collect samples from upper B-horizon soil (Levinson 1980 Bajc 1998 Mann et al. 2005) our samples were collected from C-horizon soil because GAGI samplers were placed at a depth of 60 cm (well below the B horizon). Within 8 hours of sampling, a portion of each soil sample was mixed with Milli-Q water (1 1) to create a slurry. The values of pH and oxidation-reduction potential (ORP) were determined in each slurry. Ammonia acetate leach of the soil samples were performed at Acme Analytical Laboratories, Vancouver, where 20 ml of ammonium acetate was mixed with 1 g soil sample and elements were determined by inductively coupled plasma-mass spectrometry. The GAGI samplers installed at Unknown were placed in piezometers and submerged in water at a depth of approximately 1 m below ground surface. 

Mann, A.W., Birrell, R.D., Fedikow, M.A.F., de Souza, H.A.F. 2005. Vertical ionic migration mechanisms, soil anomalies, and sampling depth for mineral exploration. Geochemistry - Exploration, Environment, Analysis, 5, 201-210. 

Methods and Results At 15 sites along a 1000 m transect across the Talbot deposit, soil profiles were sampled in 10 cm depth intervals, up to 50 cm. The <250 pm (silt + clay) and <2pm (clay) fractions of the soil samples were analysed using an aqua regia digestion and ICP-MS measurement of 53 elements. 

Seventy-three soil samples from 0-to-5 cm depth along the N-S transect collected by ultraclean methods were analyzed for selected organochlorine pesticides. Only three of the samples had pesticide concentrations greater than the detection limit of the analytical method. 

Detailed examples and figures throughout the text help readers successfully perform soil sampling and analytical methods as well as better understand soil s chemical characteristics. At the end of each chapter, a bibliography and list of references lead to additional resources to explore individual topics in greater depth. Each chapter also offers problem sets, encouraging readers to put their newfound skills into practice. 

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