水资源保护
水資源保護
수자원보호
WATER RESOURCES PROTECTION
2014年
5期
26-31,59
,共7页
白晓燕%赖成光%陈晓宏%于海霞%吴孝情
白曉燕%賴成光%陳曉宏%于海霞%吳孝情
백효연%뢰성광%진효굉%우해하%오효정
水质评价%云模型%Critic权%东江干流
水質評價%雲模型%Critic權%東江榦流
수질평개%운모형%Critic권%동강간류
water quality evaluation%cloud model%Critic weight%trunk stream of Dongjiang River
将云模型引入到水质评价研究中,选用CODMn、NH3-N和TP等9个指标构建云模型的特征数,利用Critic法推求各因子客观权重后采取最大确定度来判定水质的综合评价等级,对2004-2010年东江干流水质进行了综合评价,并选取东岸断面评价结果与由模糊综合评价法得出结果进行对比。结果表明:基于云模型的东江干流水质综合评价多为Ⅰ~Ⅱ级,这与实际水质相符,同模糊综合评价法评价结果吻合程度为96.6%,表明基于云模型的地表水体水质评价方法合理可行,且能更为直观的表述水质评价中的模糊性和随机性。
將雲模型引入到水質評價研究中,選用CODMn、NH3-N和TP等9箇指標構建雲模型的特徵數,利用Critic法推求各因子客觀權重後採取最大確定度來判定水質的綜閤評價等級,對2004-2010年東江榦流水質進行瞭綜閤評價,併選取東岸斷麵評價結果與由模糊綜閤評價法得齣結果進行對比。結果錶明:基于雲模型的東江榦流水質綜閤評價多為Ⅰ~Ⅱ級,這與實際水質相符,同模糊綜閤評價法評價結果吻閤程度為96.6%,錶明基于雲模型的地錶水體水質評價方法閤理可行,且能更為直觀的錶述水質評價中的模糊性和隨機性。
장운모형인입도수질평개연구중,선용CODMn、NH3-N화TP등9개지표구건운모형적특정수,이용Critic법추구각인자객관권중후채취최대학정도래판정수질적종합평개등급,대2004-2010년동강간류수질진행료종합평개,병선취동안단면평개결과여유모호종합평개법득출결과진행대비。결과표명:기우운모형적동강간류수질종합평개다위Ⅰ~Ⅱ급,저여실제수질상부,동모호종합평개법평개결과문합정도위96.6%,표명기우운모형적지표수체수질평개방법합리가행,차능경위직관적표술수질평개중적모호성화수궤성。
In this study , the cloud model was used for water quality evaluation .Nine evaluation indicators , including COD Mn , NH3-N, and TP, were chosen to describe the cloud feature , and the comprehensive levels of water quality were determined according to the maximum degree of certainty after the acquisition of each indicator ’ s objective weight calculated by the Critic method .The water quality of the trunk stream of the Dongjiang River from the period of 2004 to 2010 was evaluated .The evaluation results of a section of the east bank were compared with those obtained by the fuzzy comprehensive assessment model .The study shows that the comprehensive level of water quality of the trunk stream of the Dongjiang River was mostly at gradeⅠto Ⅱ in the cloud model, which accords with the actual water quality .This result is consistent with that of the fuzzy comprehensive assessment model , with a degree of consistency of 96.6%, indicating that the cloud model-based surface water quality evaluation method is reasonable and feasible and can directly show the characteristics of fuzziness and randomness in water quality evaluation .