河海大学学报(自然科学版)
河海大學學報(自然科學版)
하해대학학보(자연과학판)
JOURNAL OF HOHAI UNIVERSITY (NATURAL SCIENCES)
2014年
2期
143-149
,共7页
徐健%吴玮%黄天寅%贾海峰
徐健%吳瑋%黃天寅%賈海峰
서건%오위%황천인%가해봉
水质评价%改进的模糊综合评价法%6级隶属函数%熵权%置信度准则%同里古镇
水質評價%改進的模糊綜閤評價法%6級隸屬函數%熵權%置信度準則%同裏古鎮
수질평개%개진적모호종합평개법%6급대속함수%적권%치신도준칙%동리고진
water quality evaluation%improved fuzzy comprehensive evaluation%six membership function%entropy weight%confidence criteria%Tongli Town
根据2012年3-8月同里古镇8个监测断面水质的监测结果,应用改进的模糊综合评价法,采用6级隶属函数与熵权,通过最大隶属度原则的有效度及置信度准则判定同里古镇水质类别,并与采用传统的模糊综合评价法所得的水质评价结果进行对比。结果表明:同里古镇水质状况较差,内部水质为V类或劣V类,外部水质相对较好;与传统的模糊综合评价法相比,改进的模糊综合评价法更具区分度,能评价劣V类水质,且权重计算简单,能确定主要污染因子,评价结果更为合理可靠。
根據2012年3-8月同裏古鎮8箇鑑測斷麵水質的鑑測結果,應用改進的模糊綜閤評價法,採用6級隸屬函數與熵權,通過最大隸屬度原則的有效度及置信度準則判定同裏古鎮水質類彆,併與採用傳統的模糊綜閤評價法所得的水質評價結果進行對比。結果錶明:同裏古鎮水質狀況較差,內部水質為V類或劣V類,外部水質相對較好;與傳統的模糊綜閤評價法相比,改進的模糊綜閤評價法更具區分度,能評價劣V類水質,且權重計算簡單,能確定主要汙染因子,評價結果更為閤理可靠。
근거2012년3-8월동리고진8개감측단면수질적감측결과,응용개진적모호종합평개법,채용6급대속함수여적권,통과최대대속도원칙적유효도급치신도준칙판정동리고진수질유별,병여채용전통적모호종합평개법소득적수질평개결과진행대비。결과표명:동리고진수질상황교차,내부수질위V류혹렬V류,외부수질상대교호;여전통적모호종합평개법상비,개진적모호종합평개법경구구분도,능평개렬V류수질,차권중계산간단,능학정주요오염인자,평개결과경위합리가고。
Based on monitoring results from eight monitoring sections in Tongli Town from March to August in 2012, an improved fuzzy comprehensive evaluation method was used to evaluate the water quality in this town. Six membership functions and entropy weight were used in this method, and ultimate water quality classification was judged by the effective degree of the maximum membership degree principle and the confidence criteria. The improved fuzzy comprehensive evaluation method was compared with the traditional fuzzy comprehensive evaluation method. The results show that the internal water quality of the town reached grade V or a point inferior to grade V, and the external water quality was better than the internal one. Compared with the traditional method, the improved method shows better performance in distinguishing different grades of water quality and can be used to evaluate water quality inferior to grade V, it has a simple weight calculation and can determine the main pollution factors, and the evaluation results are more reasonable and reliable.