Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India
Lead (Pb) is a non-biodegradable contaminant, present in the environment, especially near lead-based industrial sites, agricultural lands, and roadside soils. Bioavailability of Pb in the soil is controlled by the sorption and desorption behavior of Pb, which are further controlled by the soil chemi...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Informa UK Limited
2011
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| Acceso en línea: | https://hdl.handle.net/10568/40417 |
| _version_ | 1855525537057865728 |
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| author | Dutta, S.K. Singh, D. Sood, Aditya |
| author_browse | Dutta, S.K. Singh, D. Sood, Aditya |
| author_facet | Dutta, S.K. Singh, D. Sood, Aditya |
| author_sort | Dutta, S.K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Lead (Pb) is a non-biodegradable contaminant, present in the environment, especially near lead-based industrial sites, agricultural lands, and roadside soils. Bioavailability of Pb in the soil is controlled by the sorption and desorption behavior of Pb, which are further controlled by the soil chemical and physical properties. In this study, sorption and desorption amounts of Pb in soil were compared with soil physical (sand, silt, clay content) and chemical (pH; electrical conductivity, EC; percent organic carbon, (%OC);cation exchange capacity, CEC) properties. Twenty-six surface soils (0-5cm), expected to vary in physical and chemical properties, were collected from different parts of India and were treated with known concentration of Pb solution (40 ?g/L). The amount of Pb sorbed and desorbed were measured and correlated with soil properties using simple linear regressions. Sorption was significantly (p = 0.05) and positively correlated with pH, and %OC; desorption was significantly (p = 0.05) negatively correlated with the same two factors. Stepwise multiple regressions were performed for better correlations. Predicted sorption and desorption amounts, based on multiple regression equations, showed reasonably good fit (R2 = 0.79 and 0.83, respectively) with observed values. This regression model can be used for estimation of sorption and desorption amounts at contaminated sites. |
| format | Journal Article |
| id | CGSpace40417 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace404172025-06-17T08:23:41Z Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India Dutta, S.K. Singh, D. Sood, Aditya soil chemicophysical properties sorption desorption lead statistical methods analytical methods multiple regression analysis models soil sampling chemical composition Lead (Pb) is a non-biodegradable contaminant, present in the environment, especially near lead-based industrial sites, agricultural lands, and roadside soils. Bioavailability of Pb in the soil is controlled by the sorption and desorption behavior of Pb, which are further controlled by the soil chemical and physical properties. In this study, sorption and desorption amounts of Pb in soil were compared with soil physical (sand, silt, clay content) and chemical (pH; electrical conductivity, EC; percent organic carbon, (%OC);cation exchange capacity, CEC) properties. Twenty-six surface soils (0-5cm), expected to vary in physical and chemical properties, were collected from different parts of India and were treated with known concentration of Pb solution (40 ?g/L). The amount of Pb sorbed and desorbed were measured and correlated with soil properties using simple linear regressions. Sorption was significantly (p = 0.05) and positively correlated with pH, and %OC; desorption was significantly (p = 0.05) negatively correlated with the same two factors. Stepwise multiple regressions were performed for better correlations. Predicted sorption and desorption amounts, based on multiple regression equations, showed reasonably good fit (R2 = 0.79 and 0.83, respectively) with observed values. This regression model can be used for estimation of sorption and desorption amounts at contaminated sites. 2011-04-21 2014-06-13T14:47:37Z 2014-06-13T14:47:37Z Journal Article https://hdl.handle.net/10568/40417 en Limited Access Informa UK Limited Dutta, S. K.; Singh, D.; Sood, Aditya. 2011. Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India. Soil and Sediment Contamination, 20(3):249-260. doi: https://doi.org/10.1080/15320383.2011.560979 |
| spellingShingle | soil chemicophysical properties sorption desorption lead statistical methods analytical methods multiple regression analysis models soil sampling chemical composition Dutta, S.K. Singh, D. Sood, Aditya Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title | Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title_full | Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title_fullStr | Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title_full_unstemmed | Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title_short | Effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of India |
| title_sort | effect of soil chemical and physical properties on sorption and desorption behavior of lead in different soils of india |
| topic | soil chemicophysical properties sorption desorption lead statistical methods analytical methods multiple regression analysis models soil sampling chemical composition |
| url | https://hdl.handle.net/10568/40417 |
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