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Evaluation of Water Quality in Er-longshan Reservoir by Fuzzy Model

机译:基于模糊模型的二龙山水库水质评价。

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The Er-longshan reservoir, located in Harbin city, Heilongjiang province, plays a significant role in development of economy and society. It's one of the most important fresh water sources for drinking as well as the safeguard of flood and soil erosion. Thus, as the monitored place in this study, its water quality was measured and predicted through a fuzzy model. The objective of this paper is to illustrate how to set up an appropriate subjection function model to solve the fuzzy problem. Most environmental monitoring data that can not be compared may be mapped into subjection degrees, and analyzed for their weight coefficients, yielding the best situation in multi-objective comprehensive exponential decision-making matrix. An appropriate subjectionfunction model was set up to solve the fuzzy problem. Five kinds of pollution sources were investigated: the point source, the plane source, the entering river (Feiketu river), precipitation and falling dust and touring pollution around the reservoir area respectively. The distribution of floating algae in Er-longshan reservoir was also examined. Farmland plane source pollution was found to be the major controllable pollution source by monitoring TN and TP pollution loads, which occupy 84.8% and 84.0%of the controllable pollution source respectively. When we evaluate data of water quality, the concentration of part pollutant factors increases while others may decreases, then whether the whole water quality is to increase or decrease, from the monitordata is not easy to judge. In this study we used the fuzzy theory to analyze the trends of water quality fluctuations in the Er-longshan reservoir. COD_(Mn), BOD, TN and TP were selected as main contamination factors. The results showed that the primarypollutants were nitrogen and phosphorus by calculating the weight coefficient ei of contamination factors from 1996 to 2005. According to fuzzy comprehensive exponent Zj evaluating water quality of reservoir from 1996 to 2005, the ten-year water qualitydynamic trend was studied.
机译:二龙山水库位于黑龙江省哈尔滨市,对经济社会发展具有重要作用。它是最重要的饮用水来源之一,也是洪水和水土流失的保障。因此,作为本研究中的监测场所,通过模糊模型对水质进行了测量和预测。本文的目的是说明如何建立合适的隶属函数模型来解决模糊问题。可以将大多数无法比较的环境监测数据映射到主观程度,并分析其权重系数,从而在多目标综合指数决策矩阵中得出最佳情况。建立了合适的主观功能模型来解决模糊问题。调查了五种污染源:点源,面源,入河(飞科图河),库区周围降水,降尘和巡回污染。还研究了二龙山水库中浮藻的分布。通过监测TN和TP污染负荷,发现农田平面源污染是主要的可控污染源,分别占可控污染源的84.8%和84.0%。当我们评估水质数据时,部分污染物因子的浓度会增加,而其他污染物因子的浓度可能会降低,那么根据监测数据很难判断整个水质是增加还是减少。在这项研究中,我们使用模糊理论分析了二龙山水库水质波动的趋势。主要污染物为COD_(Mn),BOD,TN和TP。结果表明,通过计算1996〜2005年污染因子的权重系数ei,得出主要污染物为氮,磷。根据模糊综合指数Zj评价1996〜2005年水库水质,研究了十年水质动态趋势。

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