Water Quality Modeling in Reservoirs Using Multivariate Linear Regression and Two Neural Network Models

Table 1

The statistic summary of the water quality variables in the Mingder Reservoir.

Variables	Minimum	Maximum	Mean	St. Dev.	C. V
Water temperature (°C)	13.70	33.60	23.46	5.18	0.22
pH	5.28	9.50	8.11	0.67	0.08
Electrical conductivity (µmho/cm 25°C)	78.00	447.00	234.74	52.33	0.22
Turbidity (NTU)	0.87	750.00	13.64	58.63	4.30
Suspended solids (mg/L)	1.48	438.00	10.49	33.31	3.18
Total hardness (mg/L)	1.20	190.00	96.67	22.70	0.23
Total alkalinity (mg/L)	29.40	174.00	90.80	22.40	0.25
Secchi disk depth (m)	0.15	3.40	1.50	0.52	0.35
Dissolved oxygen (mg/L)	0.00	14.80	7.68	3.15	0.41
Chlorophyll a (µg/L)	0.10	52.80	7.96	6.84	0.86
Total phosphorus (µg/L)	3.00	191.00	22.01	16.97	0.77
Nitrate nitrogen (mg/L)	0.01	1.90	0.12	0.21	1.69
Biochemical oxygen demand (mg/L)	0.69	50.98	8.67	5.78	0.67

St. Dev.: standard deviation.
C. V.: coefficient of variation (St. Dev./Mean).