【摘要】：水體富營(yíng)養(yǎng)化評(píng)價(jià)具有重要意義。針對(duì)評(píng)價(jià)過(guò)程中的隨機(jī)性和模糊性,提出了基于多維正態(tài)云模型的水體富營(yíng)養(yǎng)化評(píng)價(jià)方法(Multidimensional Normal Cloud Model Method, MNCM法),將各個(gè)評(píng)價(jià)因子分別作為多維正態(tài)云模型的一維屬性,改進(jìn)了云模型相關(guān)參數(shù)的選取,由熵權(quán)法確定評(píng)價(jià)因子的權(quán)重,生成綜合所有評(píng)價(jià)因子隸屬于各個(gè)營(yíng)養(yǎng)化等級(jí)的多維正態(tài)云模型,根據(jù)確定度判定水體的營(yíng)養(yǎng)化級(jí)別。將MNCM法應(yīng)用于我國(guó)12個(gè)代表性湖庫(kù)富營(yíng)養(yǎng)化評(píng)價(jià),并與湖庫(kù)實(shí)際水質(zhì)狀況以及新近提出的基于一維正態(tài)云模型的水體富營(yíng)養(yǎng)化評(píng)價(jià)方法、國(guó)內(nèi)外應(yīng)用較為廣泛的其他常用方法(相關(guān)加權(quán)營(yíng)養(yǎng)狀態(tài)綜合指數(shù)法、評(píng)分公式法、模糊綜合評(píng)價(jià)法)進(jìn)行對(duì)比分析。結(jié)果表明,MNCM法的評(píng)價(jià)結(jié)果與實(shí)際用水障礙情況相一致,驗(yàn)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(yíng)養(yǎng)化評(píng)價(jià)方法相比,在沒(méi)有增加建模復(fù)雜程度的前提下,建模過(guò)程得以簡(jiǎn)化,云模型參數(shù)選取得到改進(jìn)；MNCM法與其他常用方法評(píng)價(jià)結(jié)果較為吻合,驗(yàn)證了方法的有效性,彌補(bǔ)了常用方法的局限；MNCM法根據(jù)確定度不僅可以直觀判定水體營(yíng)養(yǎng)化級(jí)別,而且可以判斷處于相同級(jí)別的不同水體營(yíng)養(yǎng)化程度的高低,更符合水體富營(yíng)養(yǎng)化評(píng)價(jià)的復(fù)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(xué)位授予單位】：南京大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X824

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本文編號(hào)：2146933