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采用溶解度非离子活度模型(FIAM)和 Tobit 回归模型确定砷污染灌溉水的安全界限。

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

机构信息

Department of Soil Science and Agricultural Chemistry, Bihar Agricultural University, Sabour, Bhagalpur, 813210, India.

Department of Soil Science and Agricultural Chemistry, Bihar Agricultural University, Sabour, Bhagalpur, 813210, India.

出版信息

Chemosphere. 2021 May;270:128630. doi: 10.1016/j.chemosphere.2020.128630. Epub 2020 Oct 14.

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), 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 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 for available soil As 0.25-3.0 mg kg and in red soil, the range was from 0.10 to 0.40 mg L for soil As 1.0 to 0.25 mg kg provided that the As content in rice grain is < 0.4 mg kg. This proved to be an effective protocol for estimation of safe limits after proper validation and calibration.

摘要

受砷污染的灌溉用水通过水土作物食物链转移成为人类的一个主要污染源,因此,量化灌溉用水的安全限量也至关重要。本研究采用盆栽试验,使用两种土壤类型(冲积土和红壤)和十种砷污染灌溉水水平(0、0.25、0.5、0.75、1.0、1.25、1.50、1.75、2.0、2.25 mg/L),以水稻(品种:Sushak Samrat)作为受试作物,确定了砷污染灌溉水的安全限量。结果表明,不同土壤中砷的不同形态丰度顺序为 F4>F2>F5>F3>F1,F4>F3>F2>F5>F1。在两种土壤中,砷的所有剂量下均为 F4>F2>F5>F3>F1。基于危害系数(HQ)的风险评估,灌溉水的安全限量为 0.75 mg/L,可溶性 FIAM 可有效预测两种土壤中水稻籽粒中的砷含量。在冲积土中,Tobit 回归模型定量确定了砷污染灌溉水的安全限量,当土壤有效砷含量为 0.25-3.0 mg/kg 时,安全限量为 1.20-0.10 mg/L;当土壤有效砷含量为 1.0-0.25 mg/kg 时,安全限量为 0.10-0.40 mg/L,前提是水稻籽粒中的砷含量<0.4 mg/kg。经过适当的验证和校准,该方法被证明是一种估计安全限量的有效方案。

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