| Literature DB >> 30388533 |
Khushboo Chaudhary1, Pankaj Kumar Saraswat2, Suphiya Khan3.
Abstract
Fluoride (F) in groundwater is a major issue of water pollution. Geo-statistical analysis of groundwater quality in Newai Tehsil, (India) has been done in order to identify the possible spatial distribution of water quality parameters and to assess the spatial dependence of water properties with the help of principal component analysis (PCA) structure. Two types of maps (spatial map and principal component map) of groundwater quality have been developed. A field experiment was conducted to investigate the effect of different Fluoride (F) concentration combined with Pseudomonas fluorescens (P.F) on Prosopis juliflora plant. The field design was used as completely randomized block design with three replicates. Study revealed that parameters were found to be positively and highly correlated with principal component. Low and high values (with their acceptable limit) have also been displayed over the each spatial map. Plants treated with P. fluorescens showed the highest F uptake in root, shoot and leaves tissues were 33.14, 19.41 and 15.15 mg kg-1 after 120 days, respectively. Both total bioaccumulation factor (BF) and translocation factor (TF) were obtained above one i.e., 1.06 and 1.04, this confirmed the high accumulation and translocation of F in plant tissues. The F uptake efficiency of plant was enhanced to 67.7% and plant biomass was increased upto 57.03%. According to the available literature, this is the first spatial field study for the remediation of F polluted soil through P. fluorescens. The present study will be beneficial for researchers working towards further improvement of F phytoremediation technology. Also, GIS based study can be very useful for decision maker's exploration of groundwater to understand the potential of present research work on fluoride contamination.Entities:
Keywords: Bioaccumulation factors; Fluoride; Geostatistical modeling; Groundwater; Phytoremediation; Principal component analysis
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Year: 2018 PMID: 30388533 DOI: 10.1016/j.ecoenv.2018.10.007
Source DB: PubMed Journal: Ecotoxicol Environ Saf ISSN: 0147-6513 Impact factor: 6.291