摘要：目前测量氨氮的主要方法是钠氏分光光度法和氨敏电极法。纳氏试剂法测量过程比较麻烦，试样取量大，并且需要进行预处理。氨敏电极法法在实际废水检测中易受到其他污染物的干扰，偏离真实值。因此，本文针对标准水样和实际废水的氨氮检测，建立两种方法之间的联系，以便在实际废水检测中用氨敏电极法替代钠氏分光光度法。
本文提出了一种基于误差反传网络思路, 能否准确测定实际废水中氨氮值的关键是如何建立影响因素与废水中氨氮值之间的数学模型，从而对检测值进行修正。分析研究了不同因素对其测定的影响，运用BP神经网络模型的方法建立了影响因素和水样氨氮值之间的误差修正模型,探讨了消除其影响因素的方法。28554
实验结果表明该数学模型可较好地应用于水样中的氨氮的误差修正。这对研发在线氨氮监测技术提供一定的参考。
毕业论文关键词：氨氮；检测；纳氏试剂法；电极法；影响因素
 Research the detection method of ammonia nitrogen and its mathematical modeling
Abstract:
The main method of measuring ammonia nitrogen is sodium spectrophotometry and ammonia sensitive electrode method. The measurement procedure of the sodium 's reagent is troublesome, the sample is large and needs to be pretreated.. The ammonia - sensitive electrode method is easily interfered by other pollutants in the actual waste water detection, and deviates from the real value.. Therefore, this paper is to establish the relationship between the two methods for ammonia nitrogen detection in standard water samples and real waste water, so as to replace sodium Spectrophotometry with ammonia sensitive electrode method in actual waste water detection.
In this paper, based on  error back propagation network ideas, whether the accurate determination of actual Waste water Ammonia Nitrogen value of the key is how to establish the mathematical model between the values of ammonia nitrogen in waste water and its influencing factors, and the measured values were corrected. Analysis of the influence of different factors on the determination, established between the influencing factors and water ammonia nitrogen value error correction model using the method of BP neural network model, discusses the method of eliminating the influence factors.
The experimental result shows that the mathmatical model can be applied to the modification and analyze of ammonium value of real water samples. It will be a good reference for developing the ammonium measurement.
Keywords: ammonia nitrogen, detection, sodium reagent, electrode method, influence factor
 目 录
1绪论    1
1.1 课题研究背景    1
1.2水质情况    1
1.3实验原理    2
1.3.1纳氏试剂法的实验原理    2
1.3.2电极法实验原理    2
2.氨氮的检测方法    3
2.1 纳氏试剂比色法    3
2.1.1 实验仪器与材料    3
2.1.2 检测步骤    3
2.2 电极法    3
2.2.1实验仪器与材料    3
2.2.2检测步骤    4
3.电极法与纳氏试剂法测定氨氮比较    4
3.1实验数据整理    4
3.2  t检验对数据的分析讨论    6
4 用四因素四水平正交实验法研究纳氏试剂法和电极法的影响因素    11
4.1纳氏试剂法    11
    4.2电极法    17
5 基于BP神经网络的误差修正模型    22
5.1 BP神经网络介绍及其原理    22
5.2 BP神经网络模型设计    24
5.2.1确定输入输出神经元    24 基于误差反传网络废水氨氮检测方法及其数学建模的研究:http://www.751com.cn/huaxue/lunwen_23435.html