基于可变模糊识别模型及GIS相耦合的水库水质综合评价

针对水库水质时空分布特征复杂,常规水质监测难以准确掌握水库水质实际状态的问题,以大连市碧流河水库为例,在综合考虑水文、地形及水动力条件的基础上通过分区布设监测断面和监测点,获得了时空综合条件下的水质监测样本,利用可变模糊识别模型量化综合水质级别,结合GIS地统计学方法对评价结果进行可视化表达。结果表明,可变模糊识别模型与GIS结合的方法,不仅可合理地量化水体综合水质状态,还可直观地展示水质时空变化特征,建议对复杂地形边界的水库大水体进行时空综合监测,以掌握水质实际状态。

Comprehensive Assessment of Reservoir Water Quality Based on Variable Fuzzy Pattern Recognition Model and GIS

In view of the complex spatial and temporal variability of reservoir water quality, the traditional water quality monitoring is difficult to obtain actual situation of water quality accurately. Taking Biliuhe Reservoir in Dalian City for an example, on the basis of considering hydrology, topography and hydrodynamics, water quality monitoring samples in conditions of comprehensive spatial and temporal were obtained through the laid monitoring sections and points in each planning zone. Then variable fuzzy pattern recognition model was used to dynamically assess the grade of water quality. Finally, the geostatistics model in GIS was used to make the evaluation results visualization. The results show that the proposed method based on variable fuzzy pattern recognition model and GIS can not only better quantify comprehensive water quality status, but also intuitively exhibit the temporal and spatial variability of water quality. It is suggested that the large water body of complex terrain boundary reservoir be implemented comprehensive spatial and temporal monitoring for acquaintance with actual status of water quality.