Abstract:
Variety of plant species are growing in contaminated soil treated with industrial waste effluent. Phytoremediation is new green arising innovation by usage of green plants to eliminate the pollutants from soil, groundwater, and wastewater. This study estimated the heavy metal accumulation efficiency of selected tree species (Alstonia scholaris, Melia azedarach and Ficus religiosa) growing alongside industrial wastewater. Wastewater samples were collected from the selected five different sites of Lahore wastewater courses. Leaves of adequate mass, size and age collected along with nearby soil from three different tree species. The sample was air dried and placed in an oven. After heating, it was cooled down and then liquefied. Sample diluted with distilled water. It was filtered with the help of filter paper. Sample was stored in labelled bottles for heavy metal analysis by using atomic absorption spectrometer. Results showed the highest value of heavy metal concentration found in wastewater samples of (S2) Ruhi industrial runnel. Physicochemical parameters such pH, TDS, SS, BOD, and COD estimated from wastewater samples. Highest value of these parameters found in (S2) Ruhi industrial runnel, (S4) Sundar industrial runnel and (S5) Shadbagh industrial runnel. The effective bio accumulator plants and soil nearby for phytoremediation were determined. The highest metal uptake of 7 heavy metals in all three tree species and its soil were found alongside Sundar industrial runnel (S4). The high amount of metal content among these three tree species and in soil found in M. azedarach in S4 site Sundar industrial runnel. As compared to other two tree species and their soil such as F. religiosa and A. scholaris, M. azedarach was best hyperaccumulator of heavy metals. Analysis of heavy metal content in leaves of trees and in soil was done by using atomic absorption spectrometry.
Page(s):
83-83
DOI:
DOI not available
Published:
Journal: Abstract Book on Second International Conference on Recent Approaches in Plant Sciences (RAPS-23) 4-5 May 2023 , Volume: 0, Issue: 0, Year: 2023
Keywords:
phytoremediation
,
Atomic Absorption Spectrophotometer
,
Heavy Metal Analysis
,
Industrial Waste Effluent