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Characterization of groundwater nitrate exposure using Monte Carlo and Sobol sensitivity approaches in the diverse aquifer systems of an agricultural semiarid region of Lower Ganga Basin, India

机译:印度农业半干旱区多样性含水区地下水硝酸盐接触地下水硝酸盐暴露的特征

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Prevalence of nitrate in different aquifer systems is a growing environmental and public health concern. Efforts were made for the first-time to achieve a higher accuracy in health risks characterization associated with the nitrate in groundwater of the diverse aquifer systems on the residents of a semi-arid rural tract of Lower Ganga Basin using Monte Carlo Simulations and Sobol Sensitivity analyses. The nitrate levels in groundwater varied between 0 and 508.3 mg/L with a mean of 19.79 ± 32.78 mg/L and 0-435.0 mg/L with a mean of 24.44 ± 35.15 mg/L during the pre-monsoon and post-monsoon periods, respectively. About 847.12-1000.25 km~2 area of the survey area (total area 4545 km~2) exhibited nitrate concentrations (C) > the pre-intervention limits (45-50 mg/L). Minor populations, especially the infants from the granite gneiss, Rajmahal traps, laterite, recent alluvial and old alluvial aquifer zones under the Central Tendency Exposure (CTE) condition and all the aquifer zones (including the Gondwana supergroup aquifer zone) under Reasonable Maximum Exposure (RME) scenarios, were characterized as being at high risks of methe-moglobinemia, primarily due to ingestion of untreated nitrate contaminated groundwater. Residents of the alluvial aquifer zones of the study area were found to the most vulnerable to the groundwater nitrate toxicity through oral and dermal exposures. The study validated the prediction accuracies of different interpolation methods including the Spline, Kriging, polynomial and Inverse Distance Weighted and revealed that Kriging predicted the Spatio-seasonal variations of groundwater nitrate of the district more accurately. Sobol Sensitivity analysis revealed Cand the interaction effects of C and groundwater Ingestion Rate (IR), and C and Fraction of skin area contacted with groundwater (F) as the influential parameters for oral and dermal health risks exposure models. Therefore, the study recommends to residents of the study area to consume treated groundwater to mitigate nitrate related health morbidities.
机译:不同含水层系统中硝酸盐的患病率是一种不断增长的环境和公共卫生问题。首次努力在使用Monte Carlo Simulations和Sobol敏感性分析的半干旱农村地区的各种含水层系统的地下水中的硝酸盐与硝酸盐的地下水中的硝酸盐中的表征中的表征更高的努力。 。地下水中的硝酸盐水平在0至508.3mg / L之间变化,平均值为19.79±32.78 mg / L和0-435.0mg / L,其平均在季风前24.44±35.15mg / l和季风期间, 分别。约847.12-1000.25 km〜2区域调查区(总面积4545 km〜2)显示出硝酸盐浓度(c)>预干预限制(45-50 mg / L)。轻微的人群,特别是来自花岗岩片,Rajmahal陷阱,红土,最近的冲积和旧的冲积含水层在中央倾向暴露(CTE)条件下和所有含水层(包括Gondwana Supergroup Aquifer区)的合理最大暴露( RME)情景的特征是在甲豆林血症的高风险,主要是由于摄入未处理的硝酸盐污染的地下水。通过口服和皮肤暴露,发现研究区域的冲积含水层的居民的研究区的含水层毒性最容易受到地下水的毒性。该研究验证了不同插值方法的预测准确性,包括花键,克里格,多项式和逆距离加权,并揭示了Kriging更准确地预测了该地区地下水硝酸盐的时气季节变化。软骨敏感性分析揭示了C和地下水摄取率(IR)的相互作用效应(IR),以及与地下水(F)接触的皮肤区域的C和分数作为口服和皮肤健康风险曝光模型的影响参数。因此,该研究建议对研究区域的居民消耗治疗地下水以减轻硝酸盐相关的健康状况。

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