【作者】 柴磊；

【导师】 周孝德；

【作者基本信息】 西安理工大学 ， 环境工程， 2007， 硕士

【摘要】 本文针对流域水环境极限承载力的特点，以人工神经网络为主要技术手段，建立了汉江上游水环境承载力的人工神经网络模型，在流域水环境极限承载力建模和预测中进行创新研究。在研究中初步选取了十个影响因子作为水环境承载力的评价指标，并将该模型应用到汉江上游流域。主要研究成果有：1．在查阅大量国内外研究水环境承载力文献的基础上，提出了流域水环境极限承载力的定义及评价流域水环境极限承载力的指标体系。2．分析计算了95％频率年的汉江上游流域生态环境需水量。3．以一维稳态水质模型为基础，计算和分析了95％频率年汉江上游干流的水环境容量，为汉江上游流域的可持续发展奠定了有关水环境方面的基础。4．把人工神经网络应用到汉江上游水环境极限承载力的建模中，完成了对汉江上游水环境极限承载力的预测。模型具有三个特点：第一，分辨率高，BP网络模拟人类的思维方式，对事物的判断不需要预先建立某种模式，只根据事物的本质特征，采用直观的推理判断，信息含量丰富；第二，通用性广，该模型可应用到其它流域；第三，可操作性强，对训练好的网络模型，只需给定输入，即可输出评价结果，简单易用。5．对神经网络预测模型进行了优化，以达到更好的预测效果。6．采用MATLAB语言对汉江上游水环境承载力模型进行编程和求解。更多还原

【Abstract】 Artificial neural network, the main means applied in this thesis, takes part in the innovative study of the model building and forecasting of water environmental carrying capability for Hanjiang upstream basin, aiming at the characters of drainage area water environment ultimate carrying capacity. The artificial neural network model of Hanjiang upstream basin water environment ultimate carrying capacity has been established. Ten important factors have been chosen tentatively as the evaluation index system of water environment carrying capacity. The model has been applied in Hanjiang upstream basin.The main fruits are shown as follows:1. This dissertation suggested the definition and evaluation index system of drainage area water environment ultimate carrying capacity through consulting a lot of domestic and foreign references which studied the water environment carrying capacity.2. To calculate and analyze the Eco-environmental water requirement for Hanjiang upstream basin in the 95 percent hydrology frequency years.3. To calculate and analyze tentatively on water environment capacity of Hanjiang upstream basin. applying method for water quality in the case of one dimensional, establishing the foundation of industry and agriculture sustainable development about water environment of Hanjiang upstream basin4. Artificial neural network which was applied that the establishment of model of Hanjiang upstream basin water environment ultiamte carrying capacity, based on analysis of respective character of artificial neural network..The thesis has forecasted the Hanjiang upstream basin water environment carrying capacity. The model shows three characteristics.The first is high resolution. Back-Propagation Network simulates the thoughtmode of human being, and needn’t establish some fixed modes before judging the thing. It judges the directly and rationally according to essential characterisic, and its information is abundant. The second is wide application. The model may be used other drainage area in China. The third is powrful practicability. The trained network only gives a input and gets the result of assessment immediately. It is easy to use.5.Artificial neural network forecasting model was optimized in order to get better effect.6. Adopting the MATLAB language to program and solve the model of Hanjiang upstream basin water environment ultimate capacity. Hanjiang upstream basin.更多还原