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出 处:《环境科学与管理》2009年第1期188-191,共4页Environmental Science and Management
摘 要:通过对目前水环境质量评价中使用的几种方法进行简要介绍和分析,并以扎龙湿地水环境质量评价为例,对灰色聚类法,模糊综合评价法和人工神经网络分析法进行比较。结果表明,灰色聚类法评价出的结果分辩率更高,评价结果更准确,有更高的可信性,更符合实际。通过扎龙湿地水环境质量评价的数据结果,可以看出扎龙湿地水质基本属于中度污染,各监测点间以哈塔桥污染最为严重,应采取保证湿地需水量,控制污染以及合理利用湿地资源等一系列的措施来恢复和治理。Through the current several methods of water quality assessment used in the environmental assessment, and make a brief description and analysis. At the same time, as an example to Zhalong wetland environmental quality assessment, compared to the clustering of gray, fuzzy comprehensive evaluation method and artificial neural network analysis. The results showed that the gray clustering evaluation of the results of a higher resolution, more accurate results, more credibility and more realistic. Through the Zhalong wetland environment, water quality evaluation of the results of the data, we can see that the water quality of wetlands Zhalong basically moderate pollution, the most serious pollution is the monitoring point between Hata to bridge,it should be taken to ensure that wetland water demand, pollution control, and rational use of wetlands resources, such as a series of measures to restore and governance.
关 键 词:湿地 水环境质量评价 灰色聚类法 模糊综合评价法 治理措施
分 类 号:X820.2[环境科学与工程—环境工程]
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