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An Approach for Estimating the Nitrobenzene (NB) Emission Effect in Frozen Rivers: A Case Study of Nitrobenzene Pollution in the Songhua River, China

机译:冰冻河流中硝基苯(NB)排放效应的估算方法:以松花江硝基苯污染为例

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摘要

Clearly understanding the transport and fate of organic pollutants in frozen aquatic environments is necessary for implementing effective water quality management and public health risk assessment during the ice-bound period. In this paper, a nitrobenzene (NB) emission model coupling a modified hydrodynamic model with a water quality model was developed and applied to simulate a NB pollution emergency in the frozen Songhua River, China, that occurred on November 13, 2005. The proposed model is capable of simulating the NB emission effect in frozen rivers. The constants of the NB transfer radio from water to ice and the ice melting speed were obtained by laboratory experiments, which indicated that 10% of the NB would transfer to ice as the water froze. The quantitative statistical tests are adopted to evaluate the model performance based on ground-measured NB concentrations from April 11th to April 27th of 2006 (the ice melting period of the study area) in the Sujiatun segment of the Songhua River. The results generally show that the modeled and detected concentrations exhibit good consistency, with a RMSE of 0.6 mu g/L and an R-2 of 0.877. The simulated NB released to the Amur River from the ice melt by this pollution event after April 11th is less than 12.5 g/L, which is consistent with an absence of a negative influence on drinking water security along the River in the spring of 2006. The model performs satisfactorily for predicting the NB pollutant fate in the Songhua River and has the ability to supply the necessary information for controlling pollution events and for early warning, which could be applied to similar long frozen rivers.
机译:明确了解冰冻水生环境中有机污染物的运输和去向对于在冰封时期实施有效的水质管理和公共健康风险评估是必要的。本文建立了结合改进的水动力模型和水质模型的硝基苯(NB)排放模型,并将其用于模拟2005年11月13日发生的中国松花江冰冻中的NB污染紧急情况。能够模拟冻河中的NB排放效应。通过实验室实验获得了NB从水到冰的无线电传递常数和冰的融化速度,这表明当水冻结时,有NB的10%会向冰转移。定量统计检验采用评估基础上,从4月11日在松花江苏家屯段地面测量的NB浓度,到2006年4月27日(研究区的冰融化周期)模型的性能。结果通常表明,建模和检测的浓度表现出良好的一致性,RMSE为0.6μg / L,R-2为0.877。在4月11日之后,由这次污染事件从冰融化释放到阿穆尔河的模拟NB小于12.5 g / L,这与2006年春季对沿河的饮用水安全没有负面影响是一致的。该模型可以令人满意地预测松花江的NB污染物命运,并能够提供控制污染事件和预警的必要信息,可应用于类似的长冻河。

著录项

  • 来源
    《Journal of environment informatics》 |2015年第2期|140-147|共8页
  • 作者单位

    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China;

    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;

    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China|Environm Management Coll China, Dept Environm Sci, Qinhuangdao 066004, Peoples R China;

    China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ice-bound period; nitrobenzene pollution; emission; Songhua River;

    机译:冰期;硝基苯污染;排放;松花江;

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