首页> 外文OA文献 >Modeling of water quality parameters of dissolved oxygen and biochemical oxygen demand in the sub-basin of Poxim River, Brazil.
【2h】

Modeling of water quality parameters of dissolved oxygen and biochemical oxygen demand in the sub-basin of Poxim River, Brazil.

机译:巴西Poxim河子流域的溶解氧和生化需氧量水质参数建模。

摘要

The major cause of scarcity of the water resources, especially in large urban centers, is caused by the degradation of water quality; this is because of the inadequate release of industrial effluents and domestic sewage. The application of models that consider aspects of quantity and water quality are extremely important in case to understand and try to solve this problem. Thus, this paper aims are to show how computational modeling can be used to assess pollution by sewage water resources in the sub-basin of Rio Poxim, contributing in this way to solve environmental problems. To conduct the study, we employ the data monitored DO and BOD during the period from July 2009 to June 2010, which were inserted in the AcquaNet for calibration and validation. The simulations were performed for the current situation, (calibrated) with two scenarios increase of 10 thousand and 20 thousand inhabitants in the area of influence. The results of parameter calibration and validation of OD showed a good correlation between the observed and calculated data, the same can not be observed for the parameter BOD. The results show that the parameters DO and BOD present critical situations at Station E4 mainly for the month of May where they were observed DO and BOD concentrations of 0.0 mg L-1 and 16.52 mg .L-1 with respective population increases. Computer modelings allows monitoring of water quality parameters in rivers and seek some solutions for that serious problems related to the quality of life and environmental health in areas where the risk of contamination by sewage is higher. For those reasons it is recommended to study what are the best treatment solutions or launch strategy and develop specific levels of monitoring for future situations.
机译:水资源短缺的主要原因,特别是在大型城市中心,是由于水质下降所致;这是因为工业废水和生活污水排放不足。考虑到数量和水质方面的模型的应用对于理解和尝试解决此问题非常重要。因此,本文旨在说明如何使用计算模型来评估里约波西姆(Rio Poxim)子流域的污水污染,从而为解决环境问题做出贡献。为了进行这项研究,我们使用了从2009年7月到2010年6月这段时间内监测到的溶解氧和生化需氧量,将其插入AcquaNet中进行校准和验证。针对当前情况进行了模拟(已校准),其中两种方案在影响区域增加了1万和2万居民。 OD的参数校准和验证结果表明,观察到的数据与计算得出的数据之间具有良好的相关性,而参数BOD则无法观察到相同的结果。结果表明,参数DO和BOD主要出现在E4站的关键时刻,在5月份,观察到的DO和BOD浓度分别为0.0 mg L-1和16.52 mg .L-1,且种群均增加。计算机建模可以监测河流中的水质参数,并为那些污水污染风险较高的地区的与生活质量和环境健康有关的严重问题寻求解决方案。由于这些原因,建议研究什么是最佳的治疗方案或启动策略,并针对将来的情况制定特定的监视级别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号