各监测点的水质指标的权重系数不同，其原因在于：各监测点的采样数据不同，

The weight coefficients of the water quality indicators of each monitoring point are different. The reason is that the sampling data of each monitoring point is different, so the judgment matrix D is constructed by the analytic hierarchy process. The eigenvector corresponding to the largest eigenvalue is solved, that is, the eigenvector of each indicator The weight coefficient vector is different, but the sum of the weight coefficients of different monitoring indicators at each sampling point is 1.

各监测点的水质指标的权重系数不同，其原因在于：各监测点的采样数据不同，因此采用层次分析法构造判断矩阵D不同，从而求解出的最大特征根对应的特征向量，即各指标的权重系数向量就不同，但是各采样点的不同监测指标的权重系数之和为1.

The weight coefficient of water quality index of each monitoring point is different, the reason is that the sampling data of each monitoring point is different. Therefore, the judgment matrix D constructed by AHP is different, so the eigenvector corresponding to the maximum eigenvalue, that is, the weight coefficient vector of each index, is different, but the sum of weight coefficients of different monitoring indexes at each sampling point is 1