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首页> 外文期刊>Journal of Hydroinformatics >Extracting physical homogeneous regions out of irrigation networks using fuzzy clustering method: a case study for the Ghazvin canal irrigation network
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Extracting physical homogeneous regions out of irrigation networks using fuzzy clustering method: a case study for the Ghazvin canal irrigation network

机译：用模糊聚类法从灌溉网络中提取物理均匀区域：以Ghazvin运河灌溉网络为例

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摘要

Improving the current operation and maintenance activities is one of the main steps in achievingnhigher performance of irrigation networks. Improving the irrigation network management,ninfluenced by different spatial and temporal parameters, is confronted with special difficulties.nOne of the controversial issues often faced by decision-makers is how to cope with the spatialndiversity of irrigation systems. Homogeneous area detection out of the irrigation networks couldnimprove the current management of networks. The idea behind this research is to present anquantitative benchmark for exploring the homogeneous areas with similar physical attributes outnof the network region. Five physical attributes, such as length, capacity, number of intakes,nnumber of conveyance structures and the covered irrigated area for each canal reach, are usednfor spatial clustering. Two fuzzy clustering algorithms, namely FCM and GK, are applied to thenGhazvin irrigation network. Using a clustering validity index, SC, shows that the GK algorithm isnthe more appropriate tool for clustering of the considered dataset. According to the results thenoptimal number of clusters for the Ghazvin irrigation project is derived as nine clusters and thenirrigated district is classified into nine homogeneous areas. Physical homogeneous regionsnprovide a context for better and easier decision-making.
机译：改善当前的运行和维护活动是实现更高灌溉网络性能的主要步骤之一。在空间和时间参数不同的情况下，改善灌溉网络管理面临着特殊的困难。决策者经常面临的有争议的问题之一是如何应对灌溉系统的空间多样性。灌溉网络之外的同质区域检测无法改善当前的网络管理。该研究背后的思想是提出一个定量基准，以探索网络区域之外具有相似物理属性的同质区域。空间聚类使用了五个物理属性，例如长度，容量，进水口数量，运输结构的数量和每个运河段的覆盖灌溉面积。然后将两种模糊聚类算法FCM和GK应用于Ghazvin灌溉网络。使用聚类有效性指数SC可以表明，GK算法是用于考虑数据集聚类的更合适工具。根据结果​​，将Ghazvin灌溉项目的最佳簇数推导为9个簇，然后将灌溉区划分为9个均匀区域。物理上均质的区域为更好更好地决策提供了环境。

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