Nitrate Leaching Through Unsaturated Soil Columns: Comparison Between Numerical and Analytical Solutions

Al‐Darby, A. M.; Abdel-Nasser, G.

doi:10.3923/jas.2006.735.743

Cited by 10 publications

(1 citation statement)

References 28 publications

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“…Nitrate is one of the inorganic fertilizers required for implementation of PA (Linker 2004), and there are many researches on the link between intensive agriculture and nitrate pollution (Al-Darby and Abdel-Nasser 2006). In response to the demand for direct and rapid measurement techniques, several promising sensing devices for nitrate have been developed, including ion selective electrodes, ion sensitive field effect transistors, and near-and midinfrared spectroscopy (Linker 2004).…”

Section: Introductionmentioning

confidence: 99%

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

Choe

Meer

Rossiter³

et al. 2009

Water Air Soil Pollut

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This study aimed at examining effective sample treatments and spectral processing for an alternate method of soil nitrate determination using the attenuated total reflectance (ATR) of Fourier transform infrared (FTIR) spectroscopy. Prior to FTIR measurements, soil samples were prepared as paste to enhance adhesion between the ATR crystal and sample. The similar nitrate peak heights of soil pastes and their supernatants indicated that the nitrate in the liquid portion of the soil paste mainly responded to the FTIR signal. Using a 0.01-M CaSO 4 solution for the soil paste, which has no interference bands in the characteristic spectra of the analyte, increased the concentration of the nitrates to be measured. Secondorder derivatives were used in the prediction model to minimize the interference effects and enhance the performance. The second-order derivative spectra contained a unique nitrate peak in a range of 1,400-1,200 cm −1 without interference of carbonate. A partial least square regression model using secondorder derivative spectra performed well (R 2 =0.995, root mean square error (RMSE) = 23.5, ratio of prediction to deviation (RPD)=13.8) on laboratory samples. Prediction results were also good for a test set of agricultural field soils with a CaCO 3 concentration of 6% to 8% (R 2 =0.97, RMSE=18.6, RPD= 3.5). Application of the prediction model based on soil paste samples to nitrate stock solution resulted in an increased RMSE (62.3); however, validation measures were still satisfactory (R 2 =0.99, RPD=3.0).

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Section: Introductionmentioning

confidence: 99%

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

Choe

Meer

Rossiter³

et al. 2009

Water Air Soil Pollut

View full text Add to dashboard Cite

show abstract

Olive-oil mill wastewater transport under unsaturated and saturated laboratory conditions using the geoelectrical resistivity tomography method and the FEFLOW model

et al. 2013

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Assessment of nitrate transport parameters using the advection-diffusion cell

Aljazzar

Al‐Qinna

2016

Environ Sci Pollut Res

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This study aimed to better understand nitrate transport in the soil system in a part of the state of North Rhine-Westphalia, in Germany, and to aid in the development of groundwater protection plans. An advection-diffusion (AD) cell was used in a miscible displacement experiment setup to characterize nitrate transport in 12 different soil samples from the study area. The three nitrate sorption isotherms were tested to define the exact nitrate interaction with the soil matrix. Soils varied in their properties which in its turn explain the variations in nitrate transport rates. Soil texture and organic matter content showed to have the most important effect on nitrate recovery and retardation. The miscible displacement experiment indicated a decrease in retardation by increasing sand fraction, and an increase in retardation by increasing soil organic matter content. Soil samples with high sand fractions (up to 94 %) exhibited low nitrate sorption capacity of less than 10 %, while soils with high organic matter content showed higher sorption of about 30 %. Based on parameterization for nitrate transport equation, the pore water velocity for both sandy and loamy soils were significantly different (P < 0.001). Pore water velocity in sandy soil (about 4 × 10 m/s) was about 100 to 1000 larger than in loamy soils (8.7 × 10 m/s). On the other hand, the reduction in nitrate transport in soils associated with high organic matter was due to fine pore pathways clogged by fine organic colloids. It is expected that the existing micro-phobicity increased the nitrate recovery from 9 to 32 % resulting in maximum diffusion rates of about 3.5 × 10 m/s in sandy soils (sample number CS-04) and about 1.4 × 10 m/s in silt loam soils (sample number FS-02).

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Nitrate Leaching Through Unsaturated Soil Columns: Comparison Between Numerical and Analytical Solutions

Cited by 10 publications

References 28 publications

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments

Olive-oil mill wastewater transport under unsaturated and saturated laboratory conditions using the geoelectrical resistivity tomography method and the FEFLOW model

Assessment of nitrate transport parameters using the advection-diffusion cell

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