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title

Estimating soil partition coefficient of organic chemicals using M5 tree decision model

Credit to Download: 1 | Page Numbers 11 | Abstract Views: 481
Year: 2014
COI code: ICSAU02_0060
Paper Language: English

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Authors Estimating soil partition coefficient of organic chemicals using M5 tree decision model

  Mohammad Reza Sabour - Department of Civil and Environmental Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran,
  Marzieh shojaee - Department of Civil and Environmental Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Tehran, Iran

Abstract:

The organic carbon partition coefficient, Koc, represent the extent to which an organic substance partitions between the soil/sediment and aqueous phases, therefore it is useful to estimate the transport of chemicals in aquatic and soil systems. In this study a dataset consisting of 530 organic chemicals were gathered from literature and databases. The purpose of this study was to develop linear models correlate the octanol/water partition coefficient, Kow, and water solubility, Sw, with Koc. The M5P Machine learn method as it is implemented in the WEKA system, was used to derive 2 equations that correlated log Koc with log Kow, log Sw. All models have two leafs that separate lipophilic chemicals from low hydrophobic chemicals and were evaluated with correlation coefficient (r) and root mean squared error (RMSE). Howbeit the correlation coefficient and the errors of two models are close but the best model developed in this paper is the linear model derived by using logKow with r = 0.9035 and RMSE = 0.641.

Keywords:

soil partition coefficient, M5 tree decision model, Hydrophobicity, water solubility, Structure–activity relationships

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COI code: ICSAU02_0060

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Sabour, Mohammad Reza & Marzieh shojaee, 2014, Estimating soil partition coefficient of organic chemicals using M5 tree decision model, 2nd international congress of structure, architecture and urban development, تبريز, دبيرخانه دائمي كنگره بين المللي سازه ، معماري و توسعه شهري, https://www.civilica.com/Paper-ICSAU02-ICSAU02_0060.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Sabour, Mohammad Reza & Marzieh shojaee, 2014)
Second and more: (Sabour & shojaee, 2014)
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The University/Research Center Information:
Type: state university
Paper No.: 9315
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