...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Environmental Research and Public Health >Water Environmental Capacity Analysis of Taihu Lake and Parameter Estimation Based on the Integration of the Inverse Method and Bayesian Modeling
【24h】

Water Environmental Capacity Analysis of Taihu Lake and Parameter Estimation Based on the Integration of the Inverse Method and Bayesian Modeling

机译：逆向方法与贝叶斯建模相结合的太湖水环境容量分析及参数估计

获取原文
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An integrated approach using the inverse method and Bayesian approach, combined with a lake eutrophication water quality model, was developed for parameter estimation and water environmental capacity (WEC) analysis. The model was used to support load reduction and effective water quality management in the Taihu Lake system in eastern China. Water quality was surveyed yearly from 1987 to 2010. Total nitrogen (TN) and total phosphorus (TP) were selected as water quality model variables. Decay rates of TN and TP were estimated using the proposed approach. WECs of TN and TP in 2011 were determined based on the estimated decay rates. Results showed that the historical loading was beyond the WEC, thus, reduction of nitrogen and phosphorus input is necessary to meet water quality goals. Then WEC and allowable discharge capacity (ADC) in 2015 and 2020 were predicted. The reduction ratios of ADC during these years were also provided. All of these enable decision makers to assess the influence of each loading and visualize potential load reductions under different water quality goals, and then to formulate a reasonable water quality management strategy.
机译：开发了使用逆方法和贝叶斯方法的综合方法，并结合湖泊富营养化水质模型，用于参数估计和水环境容量（WEC）分析。该模型用于支持中国东部太湖系统的减负荷和有效的水质管理。从1987年至2010年，每年对水质进行调查。选择总氮（TN）和总磷（TP）作为水质模型变量。 TN和TP的衰减率是使用建议的方法估算的。根据估算的衰减率确定2011年TN和TP的WEC。结果表明，历史负荷超出了WEC，因此，减少氮和磷的输入对于实现水质目标是必要的。然后预测了2015年和2020年的WEC和允许排放量（ADC）。还提供了这些年来ADC的减速比。所有这些使决策者能够评估每个负荷的影响，并可视化不同水质目标下潜在的负荷减少量，然后制定合理的水质管理策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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