MODELING PHYTOREMEDIATION OF NI AND CD FROM CONTAMINATED SOILS USING MACROSCOPIC TRANSPIRATION REDUCTION FUNCTIONS

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DAVARI M.; HOMAEI M.; KHODAVERDILOO H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: Journal of Water and Soil Science Year:2010 | Volume:17 | Issue:68 Page(s): 75-84

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Title

MODELING PHYTOREMEDIATION OF NI AND CD FROM CONTAMINATED SOILS USING MACROSCOPIC TRANSPIRATION REDUCTION FUNCTIONS

Author(s)

DAVARI M. | HOMAEI M. | KHODAVERDILOO H. | Issue Writer Certificate

Keywords

SOIL POLLUTIONQ2

PHYTOREMEDIATIONQ2

NICKEL (NI)Q2

CADMIUM (CD)Q2

MODELINGQ2

Abstract

Phytoremediation is a new, in-situ and emerging remediation technology for contaminated soils. This technology, compared to other methods, is a sustainable, natural, relatively cheap and applicable to large scale area. MODELING PHYTOREMEDIATION provides quantitative insight for the governing process as well as for managers to assess the remediated sites. The objective of this study was to introduce a macroscopic PHYTOREMEDIATION model for Ni and Cd- polluted soils. The proposed model assumes that relative transpiration reduction function can resemble total soilNi and Cd concentrations. Combining the related functions of soil and plant responses to soil Ni and Cd concentrations, the PHYTOREMEDIATION rate of Ni and Cd was predicted. In order to test the proposed model, large quantities of soil were thoroughly polluted with Ni and Cd. Upland Cress (Lepidum sativum) and Ornamental Kale (Brassica olerace var. Viridis) seeds were then germinated in the contaminated soils. The experimental pots were irrigated with fresh water to reach field capacity. Upland Cress and Ornamental Kale were harvested three and four times, respectively. At each harvest, relative transpiration, Ni and Cd contents of soil samples and plants were measured. Comparison of the maximum error, root mean square error, coefficient of determination, MODELING efficiency and coefficient of residual mass indicated that the non-threshold non-linear model provide high efficiency to predict relative transpiration for Upland Cress and Ornamental Kale, respectively. The results also indicated that the proposed macroscopic model can well predict the phytoemediation rate of the Ni and Cd by Upland Cress (R2>0.83) and Ni by Ornamental Kale (R2=0.78).

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APA: Copy

DAVARI, M., HOMAEI, M., & KHODAVERDILOO, H.. (2010). MODELING PHYTOREMEDIATION OF NI AND CD FROM CONTAMINATED SOILS USING MACROSCOPIC TRANSPIRATION REDUCTION FUNCTIONS. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 14(52), 75-84. SID. https://sid.ir/paper/14862/en

Vancouver: Copy

DAVARI M., HOMAEI M., KHODAVERDILOO H.. MODELING PHYTOREMEDIATION OF NI AND CD FROM CONTAMINATED SOILS USING MACROSCOPIC TRANSPIRATION REDUCTION FUNCTIONS. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2010;14(52):75-84. Available from: https://sid.ir/paper/14862/en

IEEE: Copy

M. DAVARI, M. HOMAEI, and H. KHODAVERDILOO, “MODELING PHYTOREMEDIATION OF NI AND CD FROM CONTAMINATED SOILS USING MACROSCOPIC TRANSPIRATION REDUCTION FUNCTIONS,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 14, no. 52, pp. 75–84, 2010, [Online]. Available: https://sid.ir/paper/14862/en

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