ORCID Profile
0000-0001-7259-6593
Current Organisation
University of Guilan
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Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 06-2019
Publisher: Canadian Science Publishing
Date: 03-2019
DOI: 10.1139/ER-2018-0022
Abstract: Transport and deposition behaviour of engineered nanoparticles (ENPs) in natural aquifers and soil systems is a key determinant of the fate of these materials in environmental systems. A growing number of experimental studies are being conducted worldwide to address transport and deposition of ENPs in porous media (PM). Here we comprehensively review the main mechanisms and factors affecting the mobility of the environmentally important ENPs in natural PM. A variety of different processes including those that promote mobility and result in elution from the PM and those that hinder their mobility and promote ENP retention can influence ENP’s mobility through soil and aquifer media. The most important contributing factors regarding ENP transport in PM include: the physicochemical properties of the ENP, the media, the hydrodynamics of the system, and the background solution characteristics. Results from several studies conducted on the most common and environmentally important ENPs have shown that under natural environmental conditions, different types of ENPs show different transport behaviour in soil and aquifer systems. Additionally, the importance of media matrix and mobile solution factors in governing mobility of ENPs varies from one type of ENP to another.
Publisher: Springer Science and Business Media LLC
Date: 13-06-2022
Publisher: Elsevier BV
Date: 05-2019
DOI: 10.1016/J.SCITOTENV.2019.01.345
Abstract: Understanding the transport behaviour of new and emerging materials such as engineered nanoparticles (ENPs) is vital for the accurate assessment of their functionality and fate in environmental systems. Predicting ENP mobility in soil systems based on common attributes of either soil or ENPs is of significant interest as an alternative to conducting laborious and time consuming column experiments. Thus this study investigates the importance of different soil properties and experimental conditions on titanium dioxide nanoparticles (nTiO
Publisher: Springer Science and Business Media LLC
Date: 28-10-2019
DOI: 10.1007/S10661-019-7844-Y
Abstract: This study compared the performance of different interpolation methods for mapping soil salinity of three different agricultural fields having the same land use but different dataset characteristics. Four common spatial interpolation methods including global polynomial interpolation (GPI), inverse distance weighted (IDW), ordinary kriging (OK), and radial basis functions (RBF) were employed for mapping soil EC. The performance of interpolation methods in predicting soil EC was evaluated based on mean bias error, root mean square error, mean absolute percentage error, and coefficient of determinations criteria. Results showed that dataset characteristics, including central tendency and distribution, were significantly different among the studied fields. Experimental semivariogram and fitted model parameters indicated that three studied fields were also different in their spatial dependence strength. Considering all of the performance assessment measures used, the best interpolation method for fields A and C was OK and IDW for field B. The performance of interpolation methods was found to be affected by data characteristics of the studied fields, which were mostly ascribed to management practices. This study suggests in order to obtain accurate mapping of soil salinity in agricultural fields, it is essential to first find the best spatial interpolation method compatible with the characteristics of the collected data from the selected agricultural land.
No related grants have been discovered for Mahmood Fazeli Sangani.