Developing a simple and proper model that can accurately predict runoff generation for various locations is in strong demand. This study developed a simple model based on the interactive effects of rainfall intensity and soil physicochemical properties on runoff using a locally produced rainfall simulator. The drop velocity (DV) was calculated to be 8.101m/s and 2.443 m/s when operated at maximum and minimum intensity, respectively, and the performance test revealed the experimental coefficient of uniformity (CU) and rainfall intensity from the simulator to be 79.86 % at 31.79 mmhr-1 and 78.03 % at 16.08 mmhr-1 at maximum and minimum intensity respectively. Results showed that the soils were loamy sand, with clay having the lowest percentage between 3.55% - 4% and sand having the highest percentage between 78.4% - 80.1% on both plots. Runoff significantly correlated with pH(H20), nitrogen and rainfall intensity for vegetative plot (p < 0.001, R2 = 86.29%) while for bare plot, runoff significantly correlated with pH (KCl), Electrical Conductivity, Exchangeable Calcium, and rainfall intensity (p < 0.001, R2 = 92.39%). This result revealed that rainfall intensity and alkalinity are key factors influencing runoff in the study location.

This work studied the effect of fish pond wastewater, proximate and mineral analyses of the fish feeds from commercial fish ponds on receiving soils in the southern Guinea Savanna ecological zone of Minna, Nigeria. The study conducted during the dry seasons of the years 2015 and 2016 between January and May. Four sets of soil samples were collected at varying distances from the various fish ponds and analysed for physicochemical properties, Particle size analysis and Exchangeable Acidity. Similarly, two different sets of water samples were collected each from various farms studied and analysed for physicochemical properties such as pH, E c (Electrical conductivity), TDS (Total dissolved solids), Alkalinity, Total Hardness, Turbidity, Temperature, DO (Dissolved Oxygen), BOD (Biological oxygen demand), Calcium, Magnesium, Sodium and Potassium. Average results obtained for the two dry seasons for the soil samples around the fish farms showed that: pH 6.33 -7.24, Organic Carbon 2.03 -6.00 g/kg, Available Phosphorus 7 -10 mg/kg, Total Nitrogen 0.95 -2.10 g/kg, Exchangeable Bases and Exchangeable Acidity 0.02 -0.06 Cmol/kg were within the permissible limits of FAO and WHO. The various parameters were within the permissible limits for fish production. The fish wastewater had Electrical Conductivity 118 -230 µS/cm, pH 6.79 -7.10, and Biological Oxygen Demand 3.0 -6.0 mg/L. In conclusion, the wastewater from fish farms is good sources of fertiliser to the surrounding farmlands.

The research work was carried out in Igabi Local Government of Kaduna State. Thirty water samples from boreholes were randomly collected within the major towns in November to April (Dry), and May to October (Rainy season). The samples were analyzed for physical, chemical, and bacteriological parameters and to observe any changes in the groundwater quality of the area. Analysis of variance (ANOVA), Pearson Correlation were performed on the data obtained using SPSS 10.0 for a window for significant variations and inter-element relationship. High mean turbidity was recorded in boreholes in Danfili (12.2 NTU), Kwarau (6.2 NTU). Mean turbidity of 4.3 NTU was recorded in Dry season for wells with Rigachikun having 5.1 NTU. It was observed that a negative correlation exists between well depth and heavy metal concentration. There was also a linear relationship of 0.686 between well distance and nitrate (faecal contaminant). Mean value for Fluoride (0.22 mg/l), Sodium (20.78 mg/l), Calcium (15.7 mg/l), Iron (0.013 mg/l), Nitrate (3.69 mg/l), Cadmium (0.00102 mg/l) Chloride (22.107 mg/l) recorded for sampled wells were all within WHO standard. A high value of 24 mg/l and 25 mg/l for Nitrate was recorded in Saminaka Road and Danfili. An indication of contamination during the rainy season indicates surface-groundwater intrusion (influx). The results of the bacteriological analysis indicated that most wells sampled have a range of 1 cfu/100 ml to 7 cfu/100 ml with Danfili Mani having the highest value (7 cfu/100 ml) which make it unsaved (not Potable).