Predicting heavy metals uptake by spinach (Spinacia oleracea) grown in integrated industrial wastewater irrigated soils of Haridwar, India.
Vinod KumarRoushan K ThakurPankaj KumarPublished in: Environmental monitoring and assessment (2020)
This investigation aimed to assess the impacts of integrated industrial wastewater (IIW) irrigation on soil properties in the rural area of Haridwar, India, under cultivation of a leafy vegetable, i.e., spinach (Spinacia oleracea). Based on the field data of two cropping years (2016-2017 and 2017-2018), soil characteristics-based prediction models were developed to evaluate heavy metals (HM) uptake by spinach tissues (roots and leaves) using the multivariate regression method. The results showed a significant increase (P < 0.05) in the growth and productivity of spinach plants in IIW irrigated soils as compared to normal borewell water irrigation. For the prediction models, soil parameters including pH, organic matter (%), and HM (mg/Kg) availability showed a significant effect on the HM absorption process by spinach tissues. Besides this, the models were tested using ANOVA (P < 0.001), Student's t test, model efficiency (> 0.50), and coefficient of determination (R2 > 0.81) tools. Furthermore, the prediction models were also verified for their applicability in the 2018-2019 cropping year which gave satisfactory outcomes. The findings of this investigation are important in terms of predicting hazardous HM accumulation in the vegetable crops being grown in wastewater irrigated soils.
Keyphrases
- heavy metals
- risk assessment
- health risk assessment
- organic matter
- health risk
- wastewater treatment
- sewage sludge
- plant growth
- gene expression
- anaerobic digestion
- south africa
- high resolution
- metabolic syndrome
- magnetic resonance
- magnetic resonance imaging
- adipose tissue
- skeletal muscle
- data analysis
- insulin resistance
- diffusion weighted imaging