Prediction And Estimation Of Sediments Discharge From Kangimi Dam Reservoir Catchment, Kaduna, Nigeria
Journal Title: Universal Journal of Environmental Research and Technology - Year 2016, Vol 6, Issue 4
Abstract
Sedimentation has been found to be a major future threat to water shortage and scarcity, as human activities and animal rearing aggravate its sources. There is need to provide the tools to predict and measure sediments, hence, this work aimed at providing a model to predict and estimate quantitatively sediment inflows for an area with herds’ activities. The work applied Global Information System to derive the catchment feature characteristics for various sub-catchments. Soil samples were randomly collected for particle size analysis using Bouyoucos method for soil erodibility determination, while water samples were collected from surface runoff for suspended sediment concentrations using filtration and drying methods. The sediment load was obtained by multiplying the discharge and suspended concentration, and then converted to kilogram per day/tones per day. A rating relationship between the sediment loads and discharges on slope, drainage areas and herds’ column, were used to determine the effects of sediment discharge characteristics. The prediction and estimation was done using Multivariate Universal Soil Loss Equation, thus, model formulation. The parameters of Universal Soil Loss Equation were evaluated from the standard in conjunction with global information system tool. However, the research provide the drainage areas, slope and four indices of soil erodibility to regressed against measured sediments from herds’ column, for determining the extent and severity of sediment generation from the catchment, hence, the model. The soil particle size indicated that soil aggregates were not stable and prone to sediment and erosion wash if agricultural land use, animal herdship and human activities, persist. The model predicted well with Modified Clay Ratio with coefficient of determination, R2 = 0.83 and coefficient of correlation, R= 0.91 at 0.01 (p<0.01). The study shows that herds’ activities contributed to sediment yields as model reasonably matched with the measured data and moderately predicted within the data without deviation, and recommended the use of the model for the Kangimi dam reservoir sediment inflows among others compared.
Authors and Affiliations
Abdulkareem Ibrahim Ayinla, Agunwamba C Jona
Keywords
Related Articles
- EP ID EP31959
- DOI -
- Views 452
- Downloads 2
Ascorbic Protects Testicular Oxidative Stress and Spermatozoa Deformationsin Male Swiss Mice Exposedto Lead Acetate
Lead is the known environmental contaminant adversely affecting the male reproductive system in human and experimental animals. The cytotoxic effects of lead on male reproductive system involve the production of reacti...
Accumulation of Heavy Metals in Fish after Chronic Exposure to the Industrial Effluent
The present study aims to assess the accumulation of heavy metals in various organs of Mystus gulio (Ham.) after chronic exposure for 30 days at 1/10 th of LC50 to industrial effluent, collected from Lote M.I.D.C., Tal....
Selection of Breeding Resource Materials of Bombyx mori L. for the Development of Bivoltine Hybrids Suitable for West Bengal
The bulk of silk produced in India is from Multivoltines which are of inferior quality. Therefore, it is highly pertinent to have more productive bivoltine silkworm breeds capable of producing quality silk. However, th...
Transport of Indicator Microorganisms from an Onsite Wastewater System to Adjacent Stream
The objective of this study was to determine the effectiveness of a residential onsite wastewater treatment system (OWS) in reducing E. coli and enterococci concentrations. Groundwater wells were installed upgradient a...
Assessment of Macro and Micronutrients in Soils from Panvel Area, Maharashtra, India
Soil is a medium through which crops grow to perform the need of human for food and cloths. Agriculture refers to an art of hoist plants from the soils and is one of the most economical factors for human beings. In achi...