Department of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Environ Monit Assess. 2011 Jan;172(1-4):263-73. doi: 10.1007/s10661-010-1332-8. Epub 2010 Feb 24.
Assessment of groundwater quality monitoring networks requires methods to determine the potential efficiency and cost-effectiveness of the current monitoring programs. To this end, the concept of entropy has been considered as a promising method in previous studies since it quantitatively measures the information produced by a network. In this study, the measure of transinformation in the discrete entropy theory and the transinformation-distance (T-D) curves, which are used frequently by other researchers, are used to quantify the efficiency of a monitoring network. This paper introduces a new approach to decrease dispersion in results by performing cluster analysis that uses fuzzy equivalence relations. As a result, the sampling (temporal) frequency determination method also recommends the future sampling frequencies for each location based on certain criteria such as direction, magnitude, correlation with neighboring stations, and uncertainty of the concentration trend derived from representative historical concentration data. The proposed methodology is applied to groundwater resources in the Tehran-Karadj aquifer, Tehran, Iran.
地下水质量监测网络的评估需要确定当前监测计划的潜在效率和成本效益的方法。为此，在先前的研究中，熵的概念已被认为是一种很有前途的方法，因为它可以定量测量网络产生的信息。在本研究中，离散熵理论中的信息传递度量和信息传递距离（T-D）曲线被用于量化监测网络的效率，这些方法经常被其他研究人员使用。本文引入了一种新的方法，通过使用模糊等价关系进行聚类分析来减少结果的分散性。结果，采样（时间）频率确定方法还根据方向、大小、与相邻站点的相关性以及从有代表性的历史浓度数据得出的浓度趋势的不确定性等标准，为每个位置推荐未来的采样频率。所提出的方法学应用于伊朗德黑兰的 Tehran-Karadj 含水层的地下水资源。
