摘要
应用属性识别理论和属性识别准则,对闽江沙溪段支流水中11个典型断面的水质进行监测并建立属性识别模型。模型评价结果为,8个断面水质均达到国家Ⅲ类标准,可作为饮用水源,而另3个断面水质均超标。评价结果与模糊隶属函数法评价结果一致,说明属性识别模型评价方法具有可行性。同时,通过11个断面水样在254 nm波长下的吸光度值分析可知,其主要污染物均为无机物。
This study focused on water quality in 11 typical sections of Shaxi River, Minjiang River basin and developed an attribute recognition model by applying attribute recognition theory and attribute recognition guild lines. Results showed that water quality in 8 sections was up to the third class of the national water quality standard of China, which may be considered as drinkable water resource. By contrast, water quality in other 3 sections did not reach the third class of the national water quality standard. The result was similar to that from the analysis of fuzzy membership function. It demonstrated that the method of attribute recognition model was suitable for assessing water quality. Finally, according to the absorbency values of 11 water samples under 254 nm, mineral matter was the dominant pollutant.
出处
《水土保持通报》
CSCD
北大核心
2008年第3期152-155,共4页
Bulletin of Soil and Water Conservation
基金
教育部高等学校优秀青年教师教学科研奖励计划项目
福建省自然科学基金资助项目(D0510011)
关键词
属性识别模型
闽江
断面
水质评价
吸光度
attribute recognition model
Minjiang River
section
water quality evaluation
absorbency
