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巴腊杜蒂茹卡(里约热内卢,巴西)海底排污口污水排放的微生物水质评估。

Microbiological water quality assessment of sewage discharge through Barra da Tijuca (Rio de Janeiro, Brazil) submarine outfall.

机构信息

Department of Sanitation and Environmental Health, National School of Public Health, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil.

Department of Coastal and Oceanographic Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

出版信息

Environ Monit Assess. 2023 Sep 12;195(10):1192. doi: 10.1007/s10661-023-11767-9.

Abstract

Submarine outfalls have been employed to convey urban effluents to their fate in the open ocean due to their dilution capacity and organic matter decay. This work analysed Escherichia coli concentrations in the Barra da Tijuca (Rio de Janeiro, Brazil) submarine outfall plume, considering an hourly variable bacterial die-off due to environmental parameters associated with dynamic changes, vertical plume position, and thickness in response to hydrodynamic conditions. The adopted modelling procedure included coupling a near-field mixing zone model, NRFIELD, with the far-field Lagrangian transport and water quality model of the SisBaHiA® ( http://www.sisbahia.coppe.ufrj.br ). The coupling methodology simulated E. coli concentrations considering simultaneous variations in temperature, salinity, solar radiation, and hydrodynamic conditions. The results showed substantial variability in E. coli concentrations in the marine environment due to variable environmental conditions, regulating solar radiation levels over the submerged plume.

摘要

由于具有稀释能力和有机物降解能力,海底排污口被用于将城市污水输送到开阔海域。本工作分析了巴西里约热内卢巴拉达蒂茹卡海底排污口羽流中的大肠杆菌浓度,考虑了由于与动态变化、垂直羽流位置和水动力条件响应的厚度相关的环境参数导致的每小时变化的细菌衰减。所采用的建模程序包括将近场混合区模型 NRFIELD 与 SisBaHiA ® 的远场拉格朗日输运和水质模型(http://www.sisbahia.coppe.ufrj.br)耦合。该耦合方法模拟了大肠杆菌浓度,同时考虑了温度、盐度、太阳辐射和水动力条件的变化。结果表明,由于环境条件的变化,海洋环境中的大肠杆菌浓度存在很大的可变性,从而调节了淹没羽流的太阳辐射水平。

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