湖泊水环境分区评价是湖泊水功能区划分的重要依据。针对干旱区草型浅水湖泊水环境状态区划和评价分级过程中存在的模糊性,将基于模糊等价关系的传递闭包法、模糊划分的ISODATA技术与模糊模式识别方法有机结合形成模糊聚类识别复合模型。利用该模型对典型的干旱区草型浅水湖泊一内蒙古自治区西部的乌梁素海的水环境状况进行分区评价研究。分区评价结果与实际情况相符。验证了该方法的有效性,较好地提高了湖泊分区评价的准确性。
Evaluation of water quality of lake zoning is an important basis for partitioning of water function zone of lake. Taking into account the fuzziness in the process of partitioning and grading of water quality condition of lake in arid area, this paper integrated two fuzzy clustering analysis methods, transitive closure method based on fuzzy clustering analysis (TCM) and fuzzy clustering analysis of ISODATA, and one fuzzy clustering recognition method into a composite model of fuzzy clustering and pattern recognition analysis. Furthermore this model is used to partition and grade the status of water quality condition of Wuliangsuhai Lake located in the west of Inner Mongolia of China, which is a typical shallow lake with pasture in arid area. It was proven that the method is efficient and reasonable for lake zoning evaluation.