Determination of safe limit for arsenic contaminated irrigation water using solubility free ion activity model (FIAM) and Tobit Regression Model

Kumari, Preety Bala; Singh, Yanendra Kumar; Mandal, Jajati; Shambhavi, Shweta; Sadhu, Sandip Kumar; Kumar, Rakesh; Ghosh, Mainak; Raj, Akanksha; Singh, Mahendra

Abstract

Irrigation water contaminated with arsenic acts as a potent source of contamination to humans through water-soil-crop-food transfer so quantification of safe limit for irrigation water is also critical. A pot experiment was conducted to determine the safe limit for As contaminated irrigation water with two soil types (alluvial and red) using ten levels of contaminated irrigation water (0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.50, 1.75, 2.0, 2.25 mg L−1), applied 5 times in rice (Variety: Sushak Samrat),used as a test crop. The results reveal that the different fractions of arsenic in terms of its profusion followed the order F4 > F2 > F5 > F3 > F1 and F4 > F3 > F2 > F5 > F1 across all the doses of As for alluvial soil and red soil respectively. The safe limit of irrigation water in terms of risk assessment expressed as Hazard Quotient (HQ) was at 0.75 mg L−1 and the solubility FIAM can effectively predict the As content in rice grain in both the soils. The Tobit Regression Model in alluvial soil quantified the safe limit for As in irrigation water from 1.20 to 0.10 mg L−1 for available soil As 0.25–3.0 mg kg−1 and in red soil, the range was from 0.10 to 0.40 mg L−1 for soil As 1.0 to 0.25 mg kg−1 provided that the As content in rice grain is < 0.4 mg kg−1. This proved to be an effective protocol for estimation of safe limits after proper validation and calibration.

Citation

Kumari, P. B., Singh, Y. K., Mandal, J., Shambhavi, S., Sadhu, S. K., Kumar, R., …Singh, M. (2021). Determination of safe limit for arsenic contaminated irrigation water using solubility free ion activity model (FIAM) and Tobit Regression Model. Chemosphere, 270, 128630. https://doi.org/10.1016/j.chemosphere.2020.128630

• Journal Article Type: Article
• Acceptance Date: Oct 12, 2020
• Online Publication Date: Oct 14, 2020
• Publication Date: 2021-05
• Deposit Date: Sep 2, 2023
• Journal: Chemosphere
• Print ISSN: 0045-6535
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 270
• Pages: 128630
• DOI: https://doi.org/10.1016/j.chemosphere.2020.128630
• Keywords: General Medicine; General Chemistry; Environmental Chemistry; Environmental Engineering; Pollution; Health, Toxicology and Mutagenesis; Public Health, Environmental and Occupational Health