基于Critic-Cloud模型的东江干流水质评价  

Evaluation of water quality of trunk stream of Dongjiang River based on Critic-cloud model

作　　者：白晓燕[1] 赖成光[1] 陈晓宏[1] 于海霞[1] 吴孝情 

机构地区：[1]中山大学地理与规划学院,广东广州510275

出　　处：《水资源保护》2014年第5期26-31,59,共7页Water Resources Protection

基　　金：国家自然科学基金国际合作重大和重点项目(51210013;50839005);国家自然科学基金(51209095;41301627);水利部公益性行业科研专项(201201094;201301002-02)

摘　　要：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。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 .

关 键 词：水质评价 云模型 Critic权 东江干流 

分 类 号：X522[环境科学与工程—环境工程]