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Identifying uncertainty of the mean of some water quality variables along water quality monitoring network of Bahr El Baqar drain

机译：在Bahr El Baqar流域水质监测网络中确定一些水质变量平均值的不确定性

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Assigning objectives to the environmental monitoring network is the pillar of the design to these kinds of networks. Conflicting network objectives may affect the adequacy of the design in terms of sampling frequency and the spatial distribution of the monitoring stations which in turn affect the accuracy of the data and the information extracted. The first step in resolving this problem is to identify the uncertainty inherent in the network as the result of the vagueness of the design objective. Entropy has been utilized and adopted over the past decades to identify uncertainty in similar water data sets. Therefore it is used to identify the uncertainties inherent in the water quality monitoring network of Bahr El-Baqar drain located in the Eastern Delta. Toward investigating the applicability of the Entropy methodology, comprehensive analysis at the selected drain as well as their data sets is carried out. Furthermore, the uncertainty calculated by the entropy function will be presented by the means of the geographical information system to give the decision maker a global view to these uncertainties and to open the door to other researchers to find out innovative approaches to lower these uncertainties reaching optimal monitoring network in terms of the spatial distribution of the monitoring stations.
机译：将目标分配给环境监控网络是此类网络设计的基础。相互矛盾的网络目标可能会影响采样频率和监测站的空间分布，从而影响设计的适当性，进而影响数据和提取信息的准确性。解决此问题的第一步是确定网络中固有的不确定性，这是设计目标含糊不清的结果。在过去的几十年中，熵已被利用和采用来识别类似水数据集的不确定性。因此，它可用于识别位于东部三角洲的Bahr El-Baqar流域水质监测网络中固有的不确定性。为了研究熵方法的适用性，对选定的流失及其数据集进行了综合分析。此外，将通过地理信息系统呈现由熵函数计算出的不确定性，以使决策者对这些不确定性具有全局性的看法，并为其他研究人员打开一扇门，以寻找降低这些不确定性以达到最优的创新方法就监控站的空间分布而言，监控网络。

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