Journal Article•
Chemical Stability of Organic Matters in Typical Farmland Soil of Chongqing
TL;DR: In this article, the anti-oxidation capability of organic matters in different density fractions of soil particles was analyzed and compared among six typical farmland soils in Chongqing and investigate the correlation with relevant soil basic characteristics.
Abstract: Methods of potassium permanganate and hydrogen peroxide both were used respectively to analyze the anti-oxidation capability(AOC) of organic matters in different density fractions of soil particles,meanwhile to compare among six typical farmland soils in Chongqing and investigate the correlation with relevant soil basic characteristics.The results suggested that:(1)Methods of potassium permanganate for assessment of organic matter chemical stability should be in a certain range of concentrations,which oxidized apt-oxidized components in soils while KMnO4 concentrations was less than 0.1 mol/L.Meanwhile,when KMnO4 concentration was 0.3 mol/L,it could reflect the differences of anti-oxidization of organic matters among various soils.In addition,chemical stability of organic matters from six soils followed the order: Humus layer of yellow soil in Jinyun mountainpurple alluvial soil alluvial soil of Jialing riverside grey-brown alluvial soil mineral yellow mud purple soil of grey-brown-purple mud.(2)Chemical stability of organic matters was found to have significant correlation with pH,content of organic matters,clay(0.001 mm),total nitrogen,available nitrogen and available phosphorus;method of hydrogen peroxide could be used to reflect better the AOC of organic matters in different density fractions of soils,which showed the capacities of grey-brown alluvial soil,purple alluvial soil and mineral yellow mud increased with acidity increasing,AOC of low fraction organic matter(LFOM) was higher than of heavy fraction organic matter(HFOM) in grey-brown alluvial soil and purple alluvial soil,however,the similar results were not observed between LFOM and HFOM in mineral yellow mud and humus layer of yellow soil in Jinyun mountain.In addition,oxidation rate of organic matter in farmland soil was found to have a consecutive increase with acidity increasing,however,the rate of organic matter from forest soil showed smaller changes,which was less than 50%.
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TL;DR: In this article, the estimation model of soil oxidant demand (SOD) and simulation equations of potassium permanganate (KMnO4) dynamic consumption based on the reaction equation with reductive minerals were established.
Abstract: Accurate estimation of oxidant consumption during in situ chemical oxidation (ISCO) is the key to determining the treatment effectiveness in contaminated sites. We established the estimation model of soil oxidant demand (SOD) and simulation equations of potassium permanganate (KMnO4) dynamic consumption based on the reaction equation of KMnO4 with reductive minerals and the estimation model of SOD. Model validation, model application, and simulation assessment had been accomplished. Results indicated that the simulations are in good agreement with measured data. The confidence level of the SOD estimation model of KMnO4 was over 80%, with sensitivity in decreasing order as follows: organic matter content > initial KMnO4 concentration > reductive minerals (RMs). Particularly, the organic matter played a dominate role in the SOD model estimation. The coefficient of determination (R2) of the SOD dynamic consumption simulation equation was above 0.9. Among the various types of soils, the overall trend of SOD value and reaction period decreased as follows: clay > loam > sand. However, the consumption rate of KMnO4 decreased in the order of clay > sand > loam. In addition, SOD value, reaction period, and reaction rate all increased as the initial concentration of KMnO4 went up. This work can provide a methodology and reference for selecting and estimating of the optimal oxidant doses and reaction period during field application.
3 citations
Cites background from "Chemical Stability of Organic Matte..."
...According to the results from Yang et al. (2012), the relationship between maximum oxidation ratio and KMnO4 concentration was as follows: op ¼ 0:14 M < 6 g L−1 op ¼ 28:028 ln Mð Þ−35:69 M > 6 g L−1 ð4Þ where op is the maximum oxidation ratio of NOM....
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...Yang et al. (2012) confirmed that a high concentration of KMnO4 with strong oxidation properties could achieve a higher oxidation rate of organic matter in the soil, producing an even greater demand for oxidants....
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TL;DR: In this article, the estimation model of soil oxidant demand (SOD) and simulation equations of potassium permanganate (KMnO4) dynamic consumption based on the reaction equation with reductive minerals were established.
Abstract: Accurate estimation of oxidant consumption during in situ chemical oxidation (ISCO) is the key to determining the treatment effectiveness in contaminated sites. We established the estimation model of soil oxidant demand (SOD) and simulation equations of potassium permanganate (KMnO4) dynamic consumption based on the reaction equation of KMnO4 with reductive minerals and the estimation model of SOD. Model validation, model application, and simulation assessment had been accomplished. Results indicated that the simulations are in good agreement with measured data. The confidence level of the SOD estimation model of KMnO4 was over 80%, with sensitivity in decreasing order as follows: organic matter content > initial KMnO4 concentration > reductive minerals (RMs). Particularly, the organic matter played a dominate role in the SOD model estimation. The coefficient of determination (R2) of the SOD dynamic consumption simulation equation was above 0.9. Among the various types of soils, the overall trend of SOD value and reaction period decreased as follows: clay > loam > sand. However, the consumption rate of KMnO4 decreased in the order of clay > sand > loam. In addition, SOD value, reaction period, and reaction rate all increased as the initial concentration of KMnO4 went up. This work can provide a methodology and reference for selecting and estimating of the optimal oxidant doses and reaction period during field application.
3 citations