INNSpub | Blog site - Phytoremediation potential of Centella asiatica (gotu kola) in nickel ore-contaminated soils | JBES 2018

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INNSpub | Blog site - Research Journal Publisher: Phytoremediation potential of Centella asiatica (g... : Map showing the operating nickel mining sites in Carrascal, Surigao del Sur, Philippines. Author Information Genelyn G. Madjos  from the Institute of the  Department of Biological Sciences, College of Science and Mathematics, Western Mindanao State University, Zamboanga City, Philippines Journal Name Journal of Biodiversity and Environmental Sciences | JBES Abstract Nickel miningposed a serious environmental problem due to run-offs and tailings. To address this, current techniques include excavation, chemical stabilization and soil flushing, but these methods are costly and impractical. One of the ecologically accepted treatments is phytoremediation. With the capacity of Centella asiatica (gotu kola) to thrive in moist soils with domestic effluents, this present study sought to evaluate its phytoremediation potential by employing an experimental design with three replicates of: (a
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Modeling the compression index for fine soils using an intelligent method

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Seyed Mahmood Kashefipour, Mehdi Daryaee

Hydraulic Structures Department, Water Sciences Engineering Faculty, Shahid Chamran University Ahwaz, Iran
Construction of buildings and different structures leads to soil consolidation, hence, causes soil settlement. Soil settlement depends on numerous factors, for instance, pressure deformation, depletion of pore water, and so forth.
One way to calculate soil settlement, is utilizing compression index, which is obtained through consolidation test. Obtaining this index through consolidation test is too time-consuming; thus, researchers have attempted to relate compression index to soil physical parameters such as plasticity limit, liquid limit, void ratio, and relative density, which all could be simply measured; therefore, there is great deal of empirical relations in this regard.
In this study, the correlation coefficients between the physical characteristics of fine soil and compression index were investigated using the Artificial Neural Network (ANN). A few but common empirical equations describing the relationship of compression index with other soil properties were evaluated along with the developed ANN model in this study.
The results have indicated that among the considered empirical relations, the Rendon-Herrero formula performed better in calculating the compression index.
By comparison, the ANN calculates the compression index more accurately and with less error than the Rendon-Herrero formula.
Full Article Available at: Volume 5, Number 5, November 2014 – JBES
Journal Name: Journal of Biodiversity and Environmental Sciences (JBES)

 

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