Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

Table 1

LULC in percent for the eight (8) sub-basins corresponding to the studied stations.

Watershed ID (pourpoint)	Forest (%)	Wetlands (%)	Low vegetation (shrubs) (%)	Agricultural land (%)
1GE01	16.18	0.86	1.67	81.29
1GC01	16.22	0.83	1.78	81.50
1GD01	8.50	0.17	3.16	88.17
1GD03	14.97	0.66	2.10	82.27
1GB03	9.88	0.22	0.93	88.97
1GB11	24.23	0.46	0.53	74.78
1GB05	21.06	0.30	4.74	73.91
1GC06	23.07	1.22	0.69	75.03