中文摘要：

文中介绍城市供水管网是非常复杂的多维度非线性系统，而实时压力监测又是目前最主要的供水调度参照。随着GIS在供水领域的普及，将实时数据和空间数据结合应用正逐渐成为一种趋势。该文研究了ArsGIS空间领域中几种常见的插值算法：反距离权重法、自然邻点法、样条函数法、克里金法，在生成供水水压面的过程中对四种插值算法进行了比较。在实时监测点达到一定数量时，利用管网水压和地理空间建立低维度模型，避免了水力模型迭代计算时的长耗时，对供水调度监测部门在发生供水管网事故时快速确定压力突变区域有着十分重要的意义。

英文摘要：

Urban water supply pipe network is a very complex multi-dimensional nonlinear system, and real-time pressure monitoring is the most important reference of water supply controlling. With the popularity of GIS in the field of water supply, the combination of real-time data and spatial data is becoming a trend of application. In this paper, several common interpolation algorithms in ArcGIS space are studied, which consists of Inverse Distance Weighting, Natural Neighbor, Spl ine, Kriging. Above-mentioned four algorithms are compared in the drawing of the isobar surface of water supply pressure. When real-time monitoring points reach a certain number, the low dimensional model is established by using water pressure and geographical space of the pipe network to avoid the iterative calculation of hydraulic model of time-consuming. For water supply dispatching and monitoring department, it has a very important significance to quickly determine pressure mutation region in the water supply pipe network accident.