动态贴近度法在瑶湖水质监测点优化布设中的应用

摘要

Taking the monthly monitoring data in the year 2010 as the analysis data,the dynamic similarity method is used to lay out water quality monitoring points in Yao Lake.The 14 monitoring points in Yao Lake can be optimized to 9 monitoring points.The optimized points are representative and could reflect the water quality of Yao Lake.Not only reduces the workload and funds,but also improves the work efficiency of monitoring.%采用2010年全年瑶湖水质监测指标的月分析数据,利用动态贴近度法对湖泊监测点的布设进行了优化。经优化处理,将原有的14个监测点减至9个监测点。优化点具有代表性,能真实反映瑶湖水质状况,在减少工作量和经费开支的同时也提高了监测工作的效率。