首页> 外文期刊>Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies >Application of the self-organizing map as a prediction tool for an integrated constructed wetland agroecosystem treating agricultural runoff
【24h】

Application of the self-organizing map as a prediction tool for an integrated constructed wetland agroecosystem treating agricultural runoff

机译:自组织图作为综合处理人工径流的湿地农业生态系统的预测工具的应用

获取原文
获取原文并翻译 | 示例
       

摘要

A self-organizing map (SOM) model was applied as a prediction tool for the performance of an integrated constructed wetland (ICW) agroecosystem treating agricultural runoff to protect receiving watercourses. By utilizing the SOM model, the time-consuming to measure expensive biochemical oxygen demand outflow concentrations were predicted well by other inexpensive variables, which were quicker and easier to measure. Correct predictions for the outflow biochemical oxygen demand concentrations were between 89% and 100%. This novel approach allows for the real time control of the outflow water quality of the ICW and potentially also of other treatment system applications. Moreover, the missing values and outliers from the large but incomplete ICW data set were replaced accurately by most likely values determined by the SOM model. This was important because the proportions of unusable entries for chemical oxygen demand, suspended solids and biochemical oxygen demand were very high: 41%, 54% and 61%, respectively. (c) 2008 Elsevier Ltd. All rights reserved.
机译:自组织图(SOM)模型被用作预测综合农业湿地(ICW)农业生态系统处理农业径流以保护接收水道的性能的工具。通过利用SOM模型,其他便宜的变量可以更好地预测测量昂贵的生化需氧量流出浓度所花费的时间,这些变量更容易测量。流出生化需氧量浓度的正确预测在89%至100%之间。这种新颖的方法可以实时控制ICW以及其他处理系统应用的流出水质量。此外,大型但不完整的ICW数据集中的缺失值和离群值被SOM模型确定的最有可能的值准确替代。这很重要,因为化学需氧量,悬浮固体和生化需氧量中无法使用的条目所占的比例非常高:分别为41%,54%和61%。 (c)2008 Elsevier Ltd.保留所有权利。

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