基于ADw-CLPSO径向基情感神经网络的出水氨氮软测量方法

基于adw
‑
clpso径向基情感神经网络的出水氨氮软测量方法
技术领域：
1.本发明利用基于改进的综合学习粒子群算法优化情感神经网络，进而建立了城市污水 处理过程中出水氨氮浓度的软测量模型，解决了污水处理过程中氨氮浓度难以测量的问题； 出水氨氮浓度是衡量污水处理过程处理效果的一个重要指标，实现其准确测量是降低氨氮 浓度排放的重要基础，也是实现水质达标排放的重要保障。本发明既属于水处理领域，又 属于检测技术领域。


背景技术：

2.随着我国社会城镇化和工业化进程的发展，工业生产过程和城市生活用水的需求量越 来越大，导致废水排放量逐年增加，已造成了严重的水资源短缺和环境污染问题，对人类 的生存和发展以及环境的生态平衡带来很大程度的影响。衡量废水是否达标排放的关键指 标之一是nh4‑
n浓度，高浓度的nh4‑
n排放将导致河流、湖泊等水体富营养化，严重危 害整个水生态系统。因此，如何实现出水nh4‑
n浓度的精准预测对于出水水质达标排放具 有重要意义。
3.软测量技术是将工业生产过程中的一些知识经验和先进的计算机技术结合起来，利用 一些较容易测量的参数作为间接测量变量，而检测困难或难以测量的变量如氨氮浓度等作 为重要待测变量，通过在二者间建立一定的数学模型来进行估计或预测的过程。近年来， 伴随着神经网络技术的蓬勃发展，和传统测定污水水质指标的方法带来的局限性，因此软 测量技术被广泛应用于城市污水处理过程水质参数的在线测量。本发明设计了一种基于 adw
‑
clpso径向基情感神经网络的出水氨氮浓度软测量方法，通过改进的综合学习粒子 群优化算法实现模型参数和结构的同时调整，有效提高了模型对出水氨氮浓度预测的泛化 性能。


技术实现要素：

4.一种基于adw
‑
clpso情感神经网络的出水nh4
‑
n浓度软测量方法主要操作流程如下： 首先构建了一种非线性函数来改进clpso算法，使每个粒子的惯性权重能够自适应动态调 整，然后基于改进的adw
‑
clpso算法通过一种粒子变维学习机制以同时实现径向基情感 网络训练过程中的参数更新和结构调整。本方法利用神经网络成本低、通用性强和预测精 度高等优势，通过进化算法同时对模型的参数和结构进行优化调整，解决了城市污水处理 过程中的出水氨氮浓度难以实时测量的问题，提高了污水处理厂废水处理过程中水质参数 实时监测的水平。其特征在于，包括以下步骤：
5.步骤1：变量选取
6.该软测量模型以出水nh4‑
n浓度作为输出变量，以出水氧化还原电位orp、溶解氧 do、总固体悬浮物tss、出水硝态氮no3‑
n和ph值作为输入变量。
7.步骤2：设计用于出水氨氮浓度预测的adw
‑
clpso径向基情感神经网络拓扑结构
8.确定径向基情感神经网络的拓扑结构为5
‑
p
‑
1的连接方式，即输入层神经元个数
为5， 隐藏层神经元个数为p，p为正整数，输出神经元为1个；对神经网络的参数进行赋值； 设第t时刻神经网络输入为z(t)＝[z1(t),z2(t),z3(t),z4(t),z5(t)]，实际输出表示为e(t)，神经网 络的实际输出表示为：
[0009][0010]
其中，ν
i
(i＝1,...,p)和w
i
(i＝1,...,p)分别为径向基情感神经网络隐藏层“杏仁核”和
ꢀ“
眶额叶皮质”中的第i个神经元的连接权重，p为隐藏层神经元的个数；b是偏差； 是所有高斯函数中的最大值并且u是它的相应连接权重；是径向基情感 神经网络隐藏层“丘脑”中第i个神经元的输入，其和ν
i
的更新方式分别为：
[0011][0012][0013]
其中，μ
i
和σ
i
表示隐藏层“丘脑中”第i个神经元的中心向量和宽度值，σ
i
＞0； ||z(t)
‑
μ
i
||为z(t)和μ
i
之间的欧氏距离；ν
i
(t+1)表示t+1时刻第i个节点的连接权重；α为 径向基情感神经网络隐藏层“杏仁核”中神经元的学习率；
[0014]
步骤3：训练神经网络
[0015]
步骤3.1：初始化综合学习粒子群算法的参数
[0016]
确定初始迭代次数t＝0，最大迭代次数max_t＝1000；输入向量z
l
表示第l组输入样本，表示第l组样本期望目标值，表示输入样本维度为n，t为样本总数；将种群划分为10个组以分别表示隐含层神经元个 数为3
‑
12的径向基情感神经网络，每组粒子个数为15；初始化粒子加速常数c取(0,1)的随 机数；将粒子的初始惯性权重ω0和最小惯性权重ω1分别设为0.95和0.55；将径向基情感 神经网络的参数表示为综合学习粒子群中的粒子：
[0017][0018]
其中，x
j
表示第j个粒子的位置，j＝1,2,
…
,s；s为粒子总个数，s为正整数，b是偏差，w
j,p
， 和σ
p
分别表示为第j个粒子中第p个径向基情感神经网络隐藏层“眶额叶皮质”中 神经元的连接权值、中心向量和宽度值；b、w
j,p
、和σ
p
的初始值取(
‑
3,3)的随机数； 将径向基情感神经网络隐藏层“杏仁核”和“丘脑”中神经元的连接权值ν
i
和u的初始值 取(0,1)的随机数；将径向基情感神经网络隐藏层“杏仁核”神经元中权值更新的学习率α和 粒子适应度函数中的平衡因子δ的搜索范围分别设定为[0.1,0.12,
…
,0.28,0.3]和 [0.001,0.002,
…
,0.01]，通过网格搜索法选取使训练误差最小的α和δ的最优参数组合；将粒 子适应度值待重新计算的迭代次数标志β和种群全局最优位置gbest未改进的迭代次数标志 γ设为4；同时初始化每个粒子的速度：
[0019][0020]
其中，v
j
表示第j个粒子的速度，表示第j个粒子在第d
j
维的速度，并将其初始 化为(
‑
2,2)的随机数，d
j
表示第j个粒子的维度大小，d
j
＝(2+n)p
j
+1，n表示为输入变 量的
个数，p
j
表示第j个粒子表示的径向基情感神经网络隐藏层神经元个数；
[0021]
步骤3.2：设计粒子适应度函数
[0022]
对于径向基情感神经网络的输入z(t)，确定每个粒子的维度d
j
＝(2+n)p
j
+1，计算 每个粒子的适应度值：
[0023]
f(x
j
(t))＝r
j
(t)+δd
j
(t)
ꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀ
(6)
[0024]
其中，δ为粒子适应度函数中的平衡因子，r
j
(t)为：
[0025][0026]
其中，e
j
(t)和分别表示第j个粒子所代表的网络输出和在t时刻的期望目标值； t表示神经网络输入的训练样本个数；将每个粒子的初始位置x
j
初始化为粒子的个体最优 位置其中是第j个粒子的最优位置在d维的值，f
j
(d)表示第j个粒 子的最优位置在第d维要学习的粒子序号，将其随机初始化为该粒子所属组中不同的粒子 序号；在计算每个粒子的适应度值后，将具有最小适应度值的个体最优位置作为种群的全 局最优位置gbest；
[0027]
步骤3.3：判断粒子维度是否发生改变
[0028]
记录种群全局最优位置gbest未改进的迭代次数，当其值大于γ时，计算每组粒子的平 均适应度值：
[0029][0030]
其中，avg(
·
)为计算平均值函数；group
m
表示种群中的第m组粒子；fit
j
表示第j 个粒子的适应度值；m1为第m组的第1个粒子；s
m
为第m组粒子的数量；根据全局最优 位置gbest找到最佳神经网络结构和对应的粒子维度d
best
，此时的最佳神经网络隐藏层神 经元个数为(d
best
‑
1)/(2+n)，n是输入变量的个数；根据d
best
更新每个粒子对应于神经网 络隐藏层神经元个数的维度：
[0031][0032]
其中，δd表示神经网络隐藏层神经元数量发生改变时粒子参数要调整的单位长度，本 例中δd＝2+n；然后将记录的种群全局最优位置gbest未改进的迭代次数清零，并更新每 个粒子在t+1时刻的惯性权重：
[0033][0034]
其中，
[0035][0036]
ω
j
(t+1)是第j个粒子在t+1时刻的惯性权重，ω0和ω1分别是粒子的初始惯性权重和 最小惯性权重；fit(x
j
(t))为第j个粒子的适应度值；gbest是种群全局最优位置；max_t是 最大迭代次数；tanh{
·
}是双曲正切函数；exp{
·
}是指数函数；
[0037]
步骤3.4：更新粒子参数
[0038]
当第j个粒子的个体最优位置停止改进β次时，重新计算第j个粒子的最优位置在第d 维要学习的粒子序号f
j
(d)；然后更新每个粒子的位置和速度：
[0039][0040]
其中，v
j,d
(t+1)和x
j,d
(t+1)分别表示第j个粒子在t+1时刻第d维的速度和位置； ω
j
(t)是第j个粒子在t时刻的惯性权重；r
j,d
表示第j个粒子在第d维取[0,1]间的随机数； c是粒子的加速因子；
[0041]
步骤3.5：判断训练是否结束
[0042]
输入训练样本数据z(t+1)，重复步骤3.2
‑
3.4，若满足t＞max_t后停止计算，将种群 的全局最优位置gbest表示的参数作为最优的网络参数，然后根据d
best
确定最优的网络结 构大小p
best
＝(d
best
‑
1)/(2+n)，p
best
为最优的网络结构对应的隐藏层神经元的数量；执行 步骤4；
[0043]
步骤4：测试神经网络
[0044]
将测试样本数据作为训练后的基于adw
‑
clpso的径向基情感网络的输入，对径向基 情感神经网络进行测试，径向基情感神经网络的输出即为出水nh4‑
n的预测值。
[0045]
本发明的创造性主要体现在：
[0046]
1、本发明针对当前对于城市污水处理厂测量出水氨氮浓度成本高、过程繁琐、测量 不便和精度低等问题，本发明提出了一种污水处理过程出水氨氮浓度软测量方法，根据污 水处理过程的相关机理和经验，在实际污水处理厂工作报表中选取了与出水氨氮浓度相关 的5个易测变量：出水氧化还原电位orp、好氧末端溶解氧do、总固体悬浮物tss、出 水硝态氮no3
‑
n和ph值，通过采用径向基情感神经网络建立了易测变量和出水氨氮浓度 间的联系，实现了出水氨氮浓度的预测，具有成本低、通用性强和预测精度高等特点。
[0047]
2、本发明采用一种非线性函数来自适应动态调整每个粒子的惯性权重，使种群中的 粒子可以同时根据时间和多样性进行调整，有效平衡了粒子的全局和局部搜索能力；另外， 基于改进的综合学习粒子群算法设计了一种粒子变维度学习机制，可以调整所有粒子的维 度，在不影响粒子速度和位置的更新情况下，既扩大了粒子的搜索空间，同时也使粒子能 够向不同维度的粒子进行学习。
附图说明
[0048]
图1为本发明的adw
‑
clpso径向基情感神经网络的结构模型图；
[0049]
图2为本发明的adw
‑
clpso径向基情感神经网络在训练过程中的rmse变化图；
[0050]
图3为本发明的adw
‑
clpso径向基情感神经网络的出水nh4
‑
n浓度预测结果图；
[0051]
图4为本发明的adw
‑
clpso径向基情感神经网络的出水nh4
‑
n浓度预测误差图；
具体实施方式：
[0052]
本发明实验数据来自某污水处理厂2014年8月的水质数据报表，剔除异常实验样本 后剩余498组可用数据，其中332组数据作为训练数据，其余166组作为测试数据；
[0053]
一种基于adw
‑
clpso情感神经网络的出水nh4
‑
n浓度软测量方法主要操作流程如下： 首先构建了一种非线性函数来改进clpso算法，使每个粒子的惯性权重能够自适应动态调 整，然后基于改进的adw
‑
clpso算法通过一种粒子变维学习机制以同时实现径向基情感网 络训练过程中的参数更新和结构调整。本方法利用神经网络成本低、通用性强和预测精度 高等优势，通过进化算法同时对模型的参数和结构进行优化调整，解决了城市污水处理过 程中的出水氨氮浓度难以实时测量的问题，提高了污水处理厂废水处理过程中水质参数实 时监测的水平。其特征在于，包括以下步骤：
[0054]
步骤1：变量选取
[0055]
该软测量模型以出水nh4‑
n浓度作为输出变量，以出水氧化还原电位orp、溶解氧 do、总固体悬浮物tss、出水硝态氮no3‑
n和ph值作为输入变量。
[0056]
步骤2：设计用于出水氨氮浓度预测的adw
‑
clpso径向基情感神经网络拓扑结构
[0057]
确定径向基情感神经网络的拓扑结构为5
‑
p
‑
1的连接方式，即输入层神经元个数为5， 隐藏层神经元个数为p，p为正整数，输出神经元为1个；对神经网络的参数进行赋值； 设第t时刻神经网络输入为z(t)＝[z1(t),z2(t),z3(t),z4(t),z5(t)]，实际输出表示为e(t)，神经网 络的实际输出表示为：
[0058][0059]
其中，ν
i
(i＝1,...,p)和w
i
(i＝1,...,p)分别为径向基情感神经网络隐藏层“杏仁核”和
ꢀ“
眶额叶皮质”中的第i个神经元的连接权重，p为隐藏层神经元的个数；b是偏差； 是所有高斯函数中的最大值并且u是它的相应连接权重；是径向基情感 神经网络隐藏层“丘脑”中第i个神经元的输入，其和ν
i
的更新方式分别为：
[0060][0061][0062]
其中，μ
i
和σ
i
表示隐藏层“丘脑中”第i个神经元的中心向量和宽度值，σ
i
＞0； ||z(t)
‑
μ
i
||为z(t)和μ
i
之间的欧氏距离；ν
i
(t+1)表示t+1时刻第i个节点的连接权重；α为 径向基情感神经网络隐藏层“杏仁核”中神经元的学习率；
[0063]
步骤3：训练神经网络
[0064]
步骤3.1：初始化综合学习粒子群算法的参数
[0065]
确定初始迭代次数t＝0，最大迭代次数max_t＝1000；输入向量z
l
表示第l组输入样本，表示第l组样本期望目标值，表示输入样本维度为n，t为样本总数；将种群划分为10个组以分别表示隐含层神经元个 数为
3
‑
12的径向基情感神经网络，每组粒子个数为15；初始化粒子加速常数c取(0,1)的随 机数；将粒子的初始惯性权重ω0和最小惯性权重ω1分别设为0.95和0.55；将径向基情感 神经网络的参数表示为综合学习粒子群中的粒子：
[0066][0067]
其中，x
j
表示第j个粒子的位置，j＝1,2,
…
,s；s为粒子总个数，s为正整数，b是偏差，w
j,p
， 和σ
p
分别表示为第j个粒子中第p个径向基情感神经网络隐藏层“眶额叶皮质”中 神经元的连接权值、中心向量和宽度值；b、w
j,p
、和σ
p
的初始值取(
‑
3,3)的随机数； 将径向基情感神经网络隐藏层“杏仁核”和“丘脑”中神经元的连接权值ν
i
和u的初始值 取(0,1)的随机数；将径向基情感神经网络隐藏层“杏仁核”神经元中权值更新的学习率α和 粒子适应度函数中的平衡因子δ的搜索范围分别设定为[0.1,0.12,
…
,0.28,0.3]和 [0.001,0.002,
…
,0.01]，通过网格搜索法选取使训练误差最小的α和δ的最优参数组合；将粒 子适应度值待重新计算的迭代次数标志β和种群全局最优位置gbest未改进的迭代次数标志 γ设为4；同时初始化每个粒子的速度：
[0068][0069]
其中，v
j
表示第j个粒子的速度，表示第j个粒子在第d
j
维的速度，并将其初始 化为(
‑
2,2)的随机数，d
j
表示第j个粒子的维度大小，d
j
＝(2+n)p
j
+1，n表示为输入变 量的个数，p
j
表示第j个粒子表示的径向基情感神经网络隐藏层神经元个数；
[0070]
步骤3.2：设计粒子适应度函数
[0071]
对于径向基情感神经网络的输入z(t)，确定每个粒子的维度d
j
＝(2+n)p
j
+1，计算 每个粒子的适应度值：
[0072]
f(x
j
(t))＝r
j
(t)+δd
j
(t)
ꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀꢀ
(6)
[0073]
其中，δ为粒子适应度函数中的平衡因子，r
j
(t)为：
[0074][0075]
其中，e
j
(t)和分别表示第j个粒子所代表的网络输出和在t时刻的期望目标值； t表示神经网络输入的训练样本个数；将每个粒子的初始位置x
j
初始化为粒子的个体最优 位置其中是第j个粒子的最优位置在d维的值，f
j
(d)表示第j个粒 子的最优位置在第d维要学习的粒子序号，将其随机初始化为该粒子所属组中不同的粒子 序号；在计算每个粒子的适应度值后，将具有最小适应度值的个体最优位置作为种群的全 局最优位置gbest；
[0076]
步骤3.3：判断粒子维度是否发生改变
[0077]
记录种群全局最优位置gbest未改进的迭代次数，当其值大于γ时，计算每组粒子的平 均适应度值：
[0078]
[0079]
其中，avg(
·
)为计算平均值函数；group
m
表示种群中的第m组粒子；fit
j
表示第j 个粒子的适应度值；m1为第m组的第1个粒子；s
m
为第m组粒子的数量；根据全局最优 位置gbest找到最佳神经网络结构和对应的粒子维度d
best
，此时的最佳神经网络隐藏层神 经元个数为(d
best
‑
1)/(2+n)，n是输入变量的个数；根据d
best
更新每个粒子对应于神经网 络隐藏层神经元个数的维度：
[0080][0081]
其中，δd表示神经网络隐藏层神经元数量发生改变时粒子参数要调整的单位长度，本 例中δd＝2+n；然后将记录的种群全局最优位置gbest未改进的迭代次数清零，并更新每 个粒子在t+1时刻的惯性权重：
[0082][0083]
其中，
[0084][0085]
ω
j
(t+1)是第j个粒子在t+1时刻的惯性权重，ω0和ω1分别是粒子的初始惯性权重和 最小惯性权重；fit(x
j
(t))为第j个粒子的适应度值；gbest是种群全局最优位置；max_t是 最大迭代次数；tanh{
·
}是双曲正切函数；exp{
·
}是指数函数；
[0086]
步骤3.4：更新粒子参数
[0087]
当第j个粒子的个体最优位置停止改进β次时，重新计算第j个粒子的最优位置在第d 维要学习的粒子序号f
j
(d)；然后更新每个粒子的位置和速度：
[0088][0089]
其中，v
j,d
(t+1)和x
j,d
(t+1)分别表示第j个粒子在t+1时刻第d维的速度和位置； ω
j
(t)是第j个粒子在t时刻的惯性权重；r
j,d
表示第j个粒子在第d维取[0,1]间的随机数； c是粒子的加速因子；
[0090]
步骤3.5：判断训练是否结束
[0091]
输入训练样本数据z(t+1)，重复步骤3.2
‑
3.4，若满足t＞max_t后停止计算，将种群 的全局最优位置gbest表示的参数作为最优的网络参数，然后根据d
best
确定最优的网络结 构大小p
best
＝(d
best
‑
1)/(2+n)，p
best
为最优的网络结构对应的隐藏层神经元的数量；执行 步骤4；
[0092]
步骤4：测试神经网络
[0093]
将测试样本数据作为训练后的基于adw
‑
clpso的径向基情感网络的输入，对径向基 情感神经网络进行测试，径向基情感神经网络的输出即为出水nh4‑
n的预测值；预测结
果 如图3所示，x轴：样本数，单位是个/样本，y轴：出水氨氮浓度，单位是mg/l；实线为 实际出水氨氮浓度值，虚线为测试出水氨氮浓度值；出水氨氮浓度实际输出与测试输出的 误差如图4所示，x轴：样本数，单位是个/样本，y轴：出水氨氮浓度预测误差，单位是 mg/l；结果表明，基于adw
‑
clpso径向基情感神经网络的出水氨氮浓度软测量方法的有 效性。
[0094]
表1
‑
12是本发明实验数据，表1
‑
5是训练输入样本：出水氧化还原电位orp、好氧末 端溶解氧do、总固体悬浮物tss、出水硝态氮no3‑
n、ph值，表6为训练样本出水氨氮 浓度，表7
‑
11为测试输入样本：出水氧化还原电位orp、好氧末端溶解氧do、总固体悬 浮物tss、出水硝态氮no3‑
n、ph值，表12是测试样本出水氨氮浓度。
[0095]
训练样本：
[0096]
表1.出水氧化还原电位orp(mv)
[0097]
‑
5.25557
‑
5.51194
‑
5.38376
‑
8.78065
‑
18.3945
‑
13.58765
‑
16.5358
‑
17.1767
‑
43.96574
‑
63.06569
‑
82.4869
‑
95.3694
‑
104.214
‑
80.6923
‑
73.8344
‑
71.1425
‑
103.573
‑
115.494
‑
121.647
‑
121.199
‑
123.826
‑
86.9733
‑
56.209
‑
49.2229
‑
48.0052
‑
49.6716
‑
46.2106
‑
36.4045
‑
40.0577
‑
18.4586
‑
12.498
‑
6.08877
‑
21.5991
‑
11.2803
‑
22.24
‑
51.46632
‑
62.3619
‑
60.8877
‑
38.7118
‑
22.881
‑
53.3889
‑
12.498
‑
3.076433.589177.947459.0370210.767514.356718.07416.66419.4219.740422.368221.342718.71517.561318.971319.932718.650927.367435.699432.174429.995229.995228.905631.789834.609935.058537.6586336.08432.174417.176721.022315.894933.135735.955839.609139.54537.686335.891731.084826.470139.288643.775146.595146.082444.928746.851546.787436.0199
‑
43.2623
‑
71.8475
‑
88.8961
‑
99.279
‑
108.637
‑
117.994
‑
126.839
‑
135.427
‑
140.939
‑
144.849
‑
147.989
‑
151.899
‑
157.283
‑
160.872
‑
170.165
‑
176.703181.894
‑
187.086
‑
191.764
‑
194.2
‑
195.418
‑
196.187
‑
196.892
‑
196.571
‑
196.635
‑
199.071
‑
201.891
‑
202.211
‑
202.788
‑
202.596
‑
202.788
‑
202.275
‑
203.685
‑
206.441
‑
206.377
‑
203.621
‑
196.443
‑
190.803
‑
184.137
‑
191.38
‑
187.919
‑
183.56
‑
172.857
‑
163.051
‑
161.32
‑
159.269
‑
159.59
‑
161.449
‑
163.628
‑
171.511
‑
176.19
‑
170.486
‑
166.768
‑
160.936
‑
161.961
‑
163.371
‑
166.191
‑
169.076
‑
206.057
‑
188.944
‑
174.075
‑
165.422
‑
161.769
‑
157.603
‑
169.332
‑
168.883
‑
177.408
‑
172.344
‑
160.551
‑
155.168
‑
154.142
‑
152.86
‑
151.002
‑
153.373
‑
157.859
‑
145.49
‑
5.96059
‑
5.70422
‑
5.8324
‑
8.71656
‑
20.3814
‑
16.7281
‑
16.7922
‑
28.2006
‑
51.5302
‑
71.0143
‑
87.8065
‑
98.1895
‑
97.8049
‑
77.4876
‑
68.6429
‑
80.8204
‑
108.316
‑
117.994
‑
123.121
‑
119.789
‑
108.444
‑
76.334
‑
49.8638
‑
46.3388
‑
54.9912
‑
47.7488
‑
45.6337
‑
37.0454
‑
33.5203
‑
15.1258
‑
11.7289
‑
39.7372
‑
15.254
‑
10.2548
‑
31.6616
‑
60.6314
‑
61.3364
‑
51.5302
‑
39.160413.3953
‑
26.0215
‑
6.986070.0640924.806938.139739.8061310.447116.343519.612318.650919.4221.278722.560520.573618.266317.304918.971319.548231.020733.199836.5965731.982130.700229.995230.443934.353534.866236.276337.109535.37924.226916.728120.060928.777534.097136.917238.775937.558137.429934.481730.764333.32840.442345.249246.46744.480145.313347.428320.701841.2114
‑
55.9526
‑
78.8977
‑
94.2158
‑
102.42
‑
112.098
‑
121.07
‑
129.21
‑
137.094
‑
142.67
‑
146.515
‑
149.015
‑
153.629
‑
159.077
‑
163.243
‑
172.793
‑
178.433
‑
183.689
‑
189.072
‑
192.854
‑
194.456
‑
194.456
‑
196.956
‑
196.635
‑
196.699
‑
196.635
‑
200.929
‑
202.211
‑
201.891
‑
202.5965
‑
202.34
‑
202.852
‑
202.019
‑
205.096
‑
206.441
‑
206.249
‑
200.994
‑
194.2
‑
188.175
‑
190.226
‑
190.547
‑
186.573
‑
181.894
‑
168.627
‑
162.346
‑
161.064
‑
158.564
‑
160.423
‑
161.961
‑
163.435
‑
177.408
‑
174.78
‑
170.614
‑
163.692
‑
159.975
‑
162.602
‑
164.525
‑
166.896
‑
169.3966
‑
201.25
‑
182.599
‑
169.781
‑
164.012
‑
161.385
‑
156.001
‑
170.165
‑
168.05
‑
175.741
‑
158.436
‑
154.078
‑
155.744
‑
152.668
‑
151.514
‑
149.784
‑
156.385
‑
156.898
‑
145.297
ꢀꢀꢀꢀꢀꢀꢀ
[0098]
表2.好氧末端溶解氧do(mg/l)
[0099]
8.527628.598548.881768.900289.207118.414576.353491.841091.332071.77015
2.405752.800036.015485.910015.216962.714652.593373.492894.219115.59138.088988.269197.638046.347486.565336.827267.172857.842298.873978.892698.346627.357938.154134.075051.869174.746726.217957.745429.244339.080789.518899.035869.162169.7270610.058210.245610.52710.467710.211510.205610.462610.827310.996211.188911.619411.761611.682911.803911.937411.865911.91678.646768.689959.252599.085498.758468.913719.200229.234778.793019.112659.452239.50659.299658.884729.046719.100677.665156.092926.919596.781337.627368.927769.306959.585029.8449710.178810.349810.287510.51580.8080650.8850071.135250.6484370.5576650.5457760.4889740.4768720.5044740.5404780.6232930.4870170.5229130.4609290.4770370.4820130.4879360.5556410.5728490.6425970.6968870.5862380.581380.5704170.6067260.5948720.5941280.5471620.5461080.5593660.5851990.6165540.6040910.5608342.288282.169282.19482.286192.33812.553152.540242.697333.413573.08792.101121.966562.127712.354882.382782.254473.384963.486553.003952.697712.623552.652842.862112.792643.816223.77622.472232.465252.418052.631792.758572.357875.787465.104083.459743.6233.592573.671133.723573.841294.772963.43988.610938.714968.931879.273029.041828.131024.34471.53811.413261.856912.766793.755266.113816.12114.017612.300582.76633.774354.164047.489727.928368.338636.914796.353856.750886.876627.114628.683878.787098.91237.953377.956477.804322.723212.104475.592386.543248.820179.159869.23349.623118.766739.29699.8129110.140610.481310.543310.53310.164310.258910.542710.867511.070711.232911.67211.817911.743511.887811.961111.869711.99978.575658.931989.237049.069328.729299.180219.199249.231148.682249.240389.455799.413159.203488.763439.132919.033396.547746.403096.846727.049767.774749.140499.342149.692049.9494410.194110.405810.64910.2490.8371080.8627990.7274230.683320.4985020.541090.4771070.513130.5317650.5355110.5290540.5010280.450470.4564570.5126860.4889050.4924480.5577670.622510.7067620.5637670.5813660.5806350.591520.5656740.5843250.5370450.5044040.5288140.5454760.5765730.5992850.5847180.5855412.199632.106042.366972.316232.534112.632262.577052.45673.317243.110421.773721.948472.110532.336692.336352.106433.403553.568672.580792.690092.5732.793412.852642.680343.889123.556062.571272.320212.52982.685672.787092.138475.622944.949673.621853.454913.572963.66273.812673.884871.259363.26749
ꢀꢀꢀꢀꢀꢀꢀꢀ
[0100]
表3.总固体悬浮物tss(mg/l)
[0101]
2.772452.818562.820262.850892.879012.785762.717572.809392.76662.782252.801532.768622.788312.797492.852282.898482.781273.172722.853612.817942.796892.80992.785652.878642.822532.819812.768362.816522.889172.857152.81192.833682.805572.72772.786322.738492.781472.865092.90052.838042.811192.996072.969873.023863.013793.015083.131133.001283.064023.04423.10043.106933.084473.091223.189223.155623.227833.150013.152723.04673.03192.965112.940462.912182.887582.876732.880922.947992.965652.919442.949332.925442.932882.942262.958532.97812.953762.863172.88952.887832.915092.927522.968352.972922.977973.005193.005893.023332.975732.997942.816382.770512.837662.794172.7792.777352.843192.902282.835732.854282.78452.782062.706662.774422.713052.730632.625272.600492.657452.663452.586872.582942.536272.527862.489682.467422.491572.526512.450222.53969
2.408222.490332.393182.423972.489872.490642.533982.383912.431972.399272.539422.513952.551942.469322.424492.460542.464912.391882.447152.473962.481812.544982.53532.389852.434652.30892.394692.316592.275382.276762.219992.333322.415522.308342.27172.43882.525062.478862.393822.382872.442752.425492.418732.414712.444022.28352.770942.815092.803152.902622.829482.805322.834272.815112.778682.780722.753882.829772.782732.806332.796842.805482.904352.802942.796282.893562.796262.797862.810812.837842.816782.82622.823772.854222.848182.801912.807392.825962.861472.779992.81322.812852.873772.829062.89972.89872.91483.078782.949733.024993.072783.06073.053223.035813.059073.072643.085673.215963.117823.155613.223783.089563.16213.16183.07223.062093.016462.919572.929292.923612.886822.89672.910062.933862.918072.942362.921322.92712.946923.034882.92852.963642.927582.823352.879772.945212.932422.901892.967122.961012.944722.98893.032943.022333.053532.969642.805212.82122.814032.78322.731622.710542.866622.8822.802352.817312.78862.753072.76162.721932.740952.694122.625092.5542.621982.531362.576462.561122.517652.497132.483072.465412.456352.436712.456162.406792.403072.512982.437632.443942.434522.498192.451452.449192.472482.481452.528622.442912.657162.482032.50252.491152.426542.448112.504482.433132.486582.511282.430922.365462.388262.280462.307752.282432.266782.22972.210492.419572.293542.367122.309952.382082.449072.577652.443962.431752.408922.478392.425362.42562.324252.31203
ꢀꢀꢀꢀꢀꢀꢀꢀ
[0102]
表4.出水硝态氮no3‑
n(mg/l)
[0103]
12.05912.146312.150112.192312.197412.777413.087913.372613.197113.055213.807613.386512.534112.65412.841212.584112.15611.599111.558911.789312.56313.067613.206413.23213.067913.089513.219513.384913.031913.762213.94213.869913.634213.414413.535313.748313.957214.080313.574613.377413.097112.893912.544412.501412.303112.218511.875311.929311.882311.722211.549211.662411.611211.587311.554411.455311.464211.560811.381312.198412.207314.559814.366914.206613.985314.075513.973713.841413.493713.180913.157413.362613.475613.328913.43213.333313.132113.01812.862213.218813.782213.858814.494914.303614.013413.90613.876213.742313.520213.561318.418617.261616.466119.024318.613416.745914.879713.482712.714612.564312.818413.361612.444110.73528.929797.937977.34496.938876.845487.041857.250487.916847.78147.109756.058926.011415.937265.831575.625135.621715.550015.512655.462695.39365.478976.477818.167849.1335710.36510.566811.041611.479412.468813.856414.741514.657214.072213.721513.728813.915714.416415.279116.637916.810115.751713.996812.625611.628610.393411.528113.332412.910312.079811.67311.49411.487811.486612.679213.526212.968212.099512.212212.446412.815613.736718.677312.103112.145912.160412.184412.242712.886313.131913.290413.173912.979513.552613.171811.997712.776612.725212.449312.00911.473811.63211.851212.766612.989913.219713.043813.005413.180313.294713.227413.442913.763514.0713.85713.561613.5019
13.584813.696913.968713.958513.505413.285213.052412.798212.554112.454412.227412.117611.826711.929511.821911.455611.580411.659511.634611.583311.446211.367611.551311.494512.084812.136112.108614.544414.297114.121613.964513.988213.84713.762713.387913.23221 3.134413.356713.186713.62213.24613.323313.057612.975112.962913.485213.880514.504314.460814.192513.969713.850213.83713.797913.335413.72318.047316.875316.724219.474718.020616.06314.358613.115612.608612.641713.106613.295411.842610.20158.523387.660037.178946.839826.636737.283237.733167.979147.617776.725075.906556.094225.97265.861685.605545.604165.542855.46255.381365.483835.526986.963148.577869.8851810.449610.717911.177911.732812.820714.283214.908914.461213.971213.640813.861713.975814.482915.690916.944316.549815.373213.585112.242811.464210.485212.220113.093412.590611.974211.609311.503611.392711.789513.0413.461412.708912.131512.219712.492712.939214.162719.197
ꢀꢀꢀꢀꢀꢀꢀꢀ
[0104]
表5.ph值
[0105]
7.9067657.901457.905517.915147.921417.919087.929847.917627.890747.864067.84657.844757.849777.857887.863117.865487.862347.858057.861877.868957.874597.890277.912087.921627.913337.902517.901897.904367.901677.93097.942037.953577.898027.917557.916587.895337.89227.894867.891497.907097.917237.893387.923157.924437.936037.936127.94067.941517.94927.949057.954127.955697.952887.960167.976487.985917.997688.013168.012577.999858.011387.968947.965817.965087.966367.971497.968477.965937.984637.990417.991777.986387.99237.994438.000398.003528.007418.023798.023318.013038.009017.997887.98887.988448.003648.017768.033398.037768.045318.048118.01848.010937.990228.013328.022567.993958.001138.002597.992697.987317.99188.004728.010078.005567.995577.987857.991557.990767.986437.992957.995927.99838.011188.004517.996757.993587.986628.003037.996348.00697.999248.004048.003348.001538.006528.009048.026398.025438.037288.002138.028098.02888.031958.030478.043058.048028.031638.018378.009098.013177.996598.030478.064918.061718.054238.026018.013968.009728.010598.033928.009468.038468.041248.027927.976778.013948.016428.018198.027678.031418.015678.00928.009738.015858.016648.058457.906857.90057.906897.919637.919877.927.929847.908657.881837.858577.844467.848097.851697.86227.864247.866677.859017.859337.864257.870177.88017.897197.915557.920747.907867.90387.904327.90317.909547.934177.946637.893127.904887.919897.911037.896567.890067.893777.894837.913917.896647.905977.922037.927937.933787.939527.940497.944827.949187.947957.953137.954747.955357.959117.983457.989448.008158.014497.989868.007898.011457.969027.965947.966337.96977.968917.963847.970657.990367.991617.990727.987647.991177.999868.004748.004718.014438.022848.017998.00998.005417.994047.987427.989678.009478.022558.037148.040348.0518.045428.016318.0117.984478.020858.014457.995228.003517.995877.988237.986228.000778.003318.012378.00227.989987.989067.991687.986287.989837.996227.998147.999558.011248.000017.994557.985617.993317.996958.000948.00367.999318.006458.003488.00282
8.003168.013678.027558.030168.022488.014988.027198.027768.033768.03348.042988.04038.026098.015118.01287.998198.005538.04198.062688.059548.049838.015818.01078.011998.019548.031418.01878.039778.036798.02817.985018.019568.01018.02128.033428.023528.012338.010548.014488.012418.020858.07451
ꢀꢀꢀꢀꢀꢀꢀꢀ
[0106]
表6.实际出水氨氮浓度(mg/l)
[0107]
3.397073.645863.565993.642333.84953.736353.692213.314713.375353.458513.563363.676273.881433.671413.79363.558533.580183.717753.868443.882953.88953.957683.646043.772033.620623.625933.682653.598314.008473.6323.631713.589883.645833.578913.6123.591963.618343.551994.70894.4494.743333.57973.279633.261953.140213.124243.163123.598653.440053.454763.54013.565023.431613.559563.602043.627513.643663.677393.76763.638753.772043.543913.610053.531523.709083.626553.566973.543.503453.545613.534853.575943.673614.001773.782973.718833.655943.695073.7083.755523.728293.879593.727423.53123.741533.710053.845813.736853.753094.028483.87584.842935.434125.776075.894996.864297.653118.092228.744868.878379.403369.502499.9437610.455611.04111.501611.909112.08712.439512.410812.264512.282412.340612.366812.519712.670212.793513.067912.87812.932312.918913.119313.211913.194213.184313.027812.593212.021411.503311.184210.891510.622310.09419.391668.788338.528028.27488.309428.184258.250387.731717.374166.703816.337926.329916.694717.297138.111588.738278.766318.835329.096699.313989.105269.28659.281599.212468.827958.37177.655249.267479.223019.368369.217298.844517.110353.402343.562543.801963.810453.798023.742183.576063.304773.416983.567893.539233.857153.934173.592573.701943.57543.58053.721033.939383.920563.861213.922593.651283.715273.601873.643183.621883.739033.674253.659853.617473.552073.599223.568153.584643.627173.588843.532994.774.87294.045733.36963.230383.237243.20633.13213.184383.548273.533073.51543.522333.528793.552523.578943.637683.618223.660973.685153.738623.732183.724383.552463.533223.530753.735233.589373.526673.643423.560723.566093.456013.758224.07533.721483.732343.727553.697263.695043.760093.768483.821793.818983.499433.608343.70123.670543.775963.770143.998253.862414.274875.186565.832025.709566.271147.083717.827328.299058.894359.326419.407059.5539510.273810.78211.246511.5311.923112.177312.337212.411612.489312.433512.323812.581612.513712.905512.839513.135412.915312.930813.014613.104613.079413.183213.210812.899212.409911.777511.334111.0910.78110.60379.954399.176828.591328.425448.257138.252148.191118.042737.678437.19956.517226.301616.370366.793687.611778.30328.782458.7428.789279.55189.217879.126629.262129.202119.065488.618618.2717.522669.317589.19379.292599.082248.628186.81527
ꢀꢀꢀꢀꢀꢀꢀꢀ
[0108]
测试样本：
[0109]
表7.出水氧化还原电位orp(mv)
[0110]
‑
5.76831
‑
4.9992
‑
6.79379
‑
18.3945
‑
15.5103
‑
17.4331
‑
15.1258
‑
35.7635
‑
57.1704
‑
76.8467
‑
91.9084
‑
101.138
‑
89.2806
‑
71.9757
‑
67.2329
‑
97.6126
‑
112.162
‑
120.045
‑
122.673
‑
120.75
‑
99.7277
‑
67.297
‑
48.8384
‑
51.4021
‑
52.9403
‑
45.9542
‑
45.7619
‑
38.0068
‑
24.4192
‑
12.8185
‑
12.1135
‑
30.572
‑
13.0107
‑
13.3312
‑
41.2755
‑
66.2715
‑
57.1063
‑
58.1318
‑
28.0724
‑
10.1907
‑
15.5103
‑
4.358281.153666.857887.7551710.44719.8061317.561317.817719.355920.958221.599121.663219.740417.561318.779119.355918.907231.148934.738132.046231.341229.995230.50830.443934.930334.545837.429936.019933.840819.227718.907216.66431.341235.314938.8438.519538.327236.660833.071727.623837.49441.852345.954246.018344.736546.402948.005230.3798
‑
27.8161
‑
63.9001
‑
84.0892
‑
96.9717
‑
105.496
‑
115.558
‑
124.467
‑
133.056
‑
138.952
‑
144.016
‑
147.477
‑
150.617
‑
155.488
‑
158.757
‑
165.935
‑
174.78
‑
180.099
‑
185.291
‑
190.482
‑
193.815
‑
194.52
‑
194.584
‑
197.02
‑
196.571
‑
196.699
‑
196.956
‑
201.378
‑
202.147
‑
202.596
‑
202.34
‑
202.66
‑
202.724
‑
202.596
‑
205.929
‑
206.185
‑
205.352
‑
198.686
‑
192.277
‑
186.06
‑
190.867
‑
189.457
‑
184.971
‑
174.139
‑
164.781
‑
161.641
‑
159.718
‑
158.564
‑
161
‑
163.179
‑
163.5
‑
177.984
‑
171.96
‑
169.332
‑
161.705
‑
160.551
‑
163.051
‑
165.294
‑
168.307
‑
199.904
‑
194.841
‑
178.497
‑
164.974
‑
163.243
‑
158.5
‑
165.999
‑
169.781
‑
175.549
‑
173.498
‑
157.795
‑
154.334
‑
153.95
‑
154.334
‑
152.86
‑
149.976
‑
157.539
‑
146.323
‑
144.656
ꢀꢀꢀꢀ
[0111]
表8.好氧末端溶解氧do(mg/l)
[0112]
8.621648.799348.926189.323418.721477.644942.632061.337621.726171.973732.923815.621026.039775.902973.426352.359493.299654.020234.280637.965568.094968.2592.96.536876.603316.843587.100017.069978.959798.829438.868117.64868.026265.978152.041813.203335.949657.3.22179.253869.077029.405059.686438.935629.527459.9370110.20110.573210.542910.508310.172410.402210.780310.916211.129511.571111.733311.885411.734611.913111.894411.89725.96788.590519.076389.195268.958158.693129.304629.264249.063288.893829.349219.52.0489.38129.03048.964929.016558.611116.087616.630686.669847.347748.42.3839.141579.506719.7525910.041610.247510.403910.76820.812990.8580160.9882670.682280.6603380.5285120.4920580.4915510.5324930.5712110.5935470.5159740.5131980.428630.4582210.4682950.4697630.5634850.5676320.6311620.6815160.5843660.5822360.5659350.5734730.6145340.5809080.5677970.5634390.5446680.5558610.5861220.570320.5843950.6186092.256822.143072.385592.270742.662862.470662.76293.482023.113332.948631.881662.015992.211832.309842.362.593.391083.397543.836512.645922.615442.598932.728282.837563.749773.824083.421962.479262.364412.603022.72052.638485.760095.404713.988393.554083.562153.661033.695413.854114.738352.137553.0876
ꢀꢀꢀꢀ
[0113]
表9.总固体悬浮物tss(mg/l)
[0114]
2.799652.793862.786272.775842.799932.825062.769972.74322.774762.799752.79262.79082.755552.801052.818192.808912.805982.924152.820252.906742.816542.838012.817492.827072.795722.867782.8162.830562.879722.821292.84282.864322.769642.797332.797372.8062.32.82662.828152.833062.864692.861653.050812.967912.999733.007723.086673.045553049383.145633.028933.155543.085673.105383.126563.168923.143493.3.42523.1182.3.048643.022052.882362.887092.897292.875522.943472.937942.920122.953042.875262.941962.937652.941922.942292.926462.941622.974842.872122.9462.900532.898872.89422.95572.973382.969922.970893.052643.022343.012843.036942.821742.795322.799012.822312.851232.736482.771192.86052.897912.875442.780922.808682.749132.746442.714672.677532.75632.625152.497622.604912.5817
2.559022.566422.470932.419212.523432.450122.496812.477712.477632.458312.444252.450452.393332.463742.457292.521352.373252.460152.494882.565452.433022.501722.457262.630532.482132.412052.469992.480082.474332.577742.575382.562392.430372.365372.32.552.273952.242962.269172.315722.176142.131182.4262.32.343872.32192.282252.427372.416062.351432.273562.381772.428692.393822.52.3342.5322.42.329962.40553
ꢀꢀꢀꢀ
[0115]
表10.出水硝态氮no3‑
n(mg/l)
[0116]
12.122512.147112.143812.15512.502212.995613.288413.211713.079713.92713.420212.877512.612712.781912.699312.195611.757511.57211.706811.863513.015313.141113.236913.035113.114813.290713.328213.18313.63413.941413.885613.763913.384713.483413.582113.830513.992113.705913.4613.179512.961412.703712.533412.432512.232611.989911.782611.933411.787911.629411.592411.637611.617911.518911.414211.478311.539911.454312.158912.186814.578714.370814.216914.14613.925313.948613.735113.632513.324113.140313.179913.579413.205613.434213.316313.236713.049112.94913.061513.593613.826614.539914.402114.063813.93613.904713.849813.69513.405419.077317.56916.540518.152519.229617.3115.33413.985412.884812.57312.561113.270912.949311.30369.505398.229097.515086.998936.880536.694747.538347.723287.874297.42066.351336.049546.027275.956895.82365.64255.558355.517215.463295.428595.453625.766267.689078.8841310.234410.474210.893611.321411.741813.476514.595314.876314.253813.832513.666613.887314.111915.203116.149816.897516.220514.588512.980811.913310.794610.949112.841912.879412.310811.810211.494211.461711.385112.308513.238913.284912.226912.136112.349912.732613.043817.657219.9069
ꢀꢀꢀꢀ
[0117]
表11.ph值
[0118]
7.902427.9037.910517.91947.917177.926587.926597.898527.871817.851977.844667.848987.853637.864317.864287.864537.856827.859477.863197.871337.884567.904087.956837.915357.905757.902867.903257.899547.920817.938647.952397.893297.90957.918797.90327.892087.893637.891547.902527.917317.881877.918567.923227.937117.931537.940677.938147.944697.947987.953877.955547.956117.957797.967217.983547.990698.010658.013537.994218.012487.932727.966837.96387.961827.97297.966367.96267.978837.991517.993987.98747.997.993448.001828.00588.002548.019098.02198.014988.006688.003927.991397.988457.996668.011898.027398.038618.045178.053098.019378.013077.999427.996678.022767.999587.998768.008187.993717.988367.987338.007348.004348.007828.000027.987797.990297.991797.985227.990837.994918.000488.004238.010167.996677.994657.984447.999947.990918.005628.000288.002818.004348.002518.00418.004388.018358.024168.033747.993948.020968.027448.03118.027528.039828.044298.034838.021658.008778.011897.986528.021398.052258.061628.059738.032768.013728.01088.01428.029598.022088.030298.039928.033498.011068.000098.020378.015278.022068.034698.020188.009038.010698.014618.01468.04488.0826
ꢀꢀꢀꢀ
[0119]
表12.实际出水氨氮浓度(mg/l)
[0120]
3.40963.622133.729973.751663.758443.721363.321123.31953.427283.569723.590353.883613.708633.861813.672213.639543.644153.800253.918853.838334.067813.805383.563823.643673.663173.705573.735663.851783.711693.68953.596653.485473.569833.594593.59283.653573.570384.178014.37694.22443.698523.329333.295053.156433.167693.120633.199433.548873.507273.515093.477893.480633.489763.611653.506163.626073.687293.731113.785883.77123.559083.53443.612493.809383.580673.653973.727113.594223.500913.535883.455433.61194.187213.814933.680183.707553.680063.735983.735213.781673.931163.765043.458733.626873.685093.720683.685453.830614.054693.339934.749735.347445.886955.725926.718827.560258.020438.449718.866979.181269.481749.6423710.558510.943611.393911.732711.967412.283612.315512.536512.271812.3212.303812.452312.765912.769612.971612.883513.005412.964412.946613.094113.223213.173313.203212.764312.223511.572311.274910.960210.728310.49579.686828.992548.568158.348958.296658.185038.117357.962217.450656.952796.39576.31666.558057.092737.782019.035238.747518.7668.845659.370129.059879.240659.315729.385028.953128.546128.196559.349939.070579.247959.375369.130567.530536.56707
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