【摘要】：水體富營養(yǎng)化評價具有重要意義。針對評價過程中的隨機性和模糊性,提出了基于多維正態(tài)云模型的水體富營養(yǎng)化評價方法(Multidimensional Normal Cloud Model Method, MNCM法),將各個評價因子分別作為多維正態(tài)云模型的一維屬性,改進了云模型相關參數的選取,由熵權法確定評價因子的權重,生成綜合所有評價因子隸屬于各個營養(yǎng)化等級的多維正態(tài)云模型,根據確定度判定水體的營養(yǎng)化級別。將MNCM法應用于我國12個代表性湖庫富營養(yǎng)化評價,并與湖庫實際水質狀況以及新近提出的基于一維正態(tài)云模型的水體富營養(yǎng)化評價方法、國內外應用較為廣泛的其他常用方法(相關加權營養(yǎng)狀態(tài)綜合指數法、評分公式法、模糊綜合評價法)進行對比分析。結果表明,MNCM法的評價結果與實際用水障礙情況相一致,驗證了方法的可行性；MNCM法與基于一維正態(tài)云模型的水體富營養(yǎng)化評價方法相比,在沒有增加建模復雜程度的前提下,建模過程得以簡化,云模型參數選取得到改進；MNCM法與其他常用方法評價結果較為吻合,驗證了方法的有效性,彌補了常用方法的局限；MNCM法根據確定度不僅可以直觀判定水體營養(yǎng)化級別,而且可以判斷處于相同級別的不同水體營養(yǎng)化程度的高低,更符合水體富營養(yǎng)化評價的復雜情況。
[Abstract]:Water eutrophication evaluation is of great significance. Aiming at the randomness and fuzziness of the evaluation process, a method of eutrophication evaluation based on multi-dimensional normal cloud model (Multidimensional Normal Cloud Model Method, MNCM) is proposed. Each evaluation factor is regarded as the one-dimensional attribute of the multi-dimensional normal cloud model. The selection of relevant parameters of cloud model is improved and the weight of evaluation factors is determined by entropy weight method. The multi-dimensional normal cloud model which synthesizes all evaluation factors is generated and the nutrient grade of water body is determined according to the degree of certainty. The MNCM method is applied to the eutrophication evaluation of 12 representative lakes and reservoirs in China. The actual water quality of the lake and reservoir and the newly proposed eutrophication evaluation method based on one-dimensional normal cloud model are proposed. Other commonly used methods at home and abroad, such as correlation weighted nutritional state comprehensive index method, scoring formula method and fuzzy comprehensive evaluation method, are compared and analyzed. The results show that the evaluation results of the MNCM method are consistent with the actual water use barriers. The feasibility of the method is verified. Compared with the water eutrophication evaluation method based on one-dimensional normal cloud model, the MNCM method does not increase the complexity of modeling. The process of modeling is simplified, and the improved MNCM method is in good agreement with other common methods, which verifies the validity of the method and makes up for the limitation of the common methods. According to the degree of determination, MNCM method can not only directly determine the water nutrition level, but also judge the level of different water bodies in the same level, which is more in line with the complex situation of eutrophication evaluation.
【學位授予單位】：南京大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：X824

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本文編號：2146933