GEOTECHNICAL ASPECTS OF A GULLY SITE AT OFEKATA II AUTONOMOUS COMMUNITY, AWO-OMAMMA, IMO STATE, SOUTHEASTERN NIGERIA
Journal: International Journal of Applied and Natural Sciences (IJANS) (Vol.8, No. 2)Publication Date: 2019-03-31
Authors : Jeffrey Chiwuikem Chiaka Obinna Chigoziem Akakuru Ozioma Udochukwu Akakuru; Bernard E. Benedict Akudinobi;
Page : 41-54
Keywords : Gully; Erosion; Soil; Direct Shear Test; Atterberg Limit Test;
Abstract
There is a need to evaluate those factors that influence soil erosion and gullying in Southeastern Nigeria. This study analyzed some geotechnical aspects of soil in Ofekatta II autonomous community in Awo-omamma in Oru East Local Government Area, Imo State, Southeastern Nigeria which is facing erosion menace, to determine the soil parameters such as Atterberg limits, shear strength, grain size distribution, dry density, bulk and dry unit and the natural moisture content. To substantiate this, the Atterberg limits shows that soil is non-plastic and therefore friable and easily erodible. The grain size distribution data obtained showed clay (12%), silt (6%), sand (82%), and gravel (0%). The Bulk and Dry unit and the Natural Moisture Content show that the moisture content ranged from 11.2 to 14.4% while the dry density ranged from 18.3 to 20kg/m3. The dry density values were generally low, signifying that the soil is not compact but loose and thus susceptible to erosion. The computation of the direct shear strength shows that the cohesion values ranged from 4-6 C (KN/m2). These low values are a strong indication that the soil is cohesionless and can be eroded with ease when loose.
Other Latest Articles
- PRODUCTION AND QUALITY EVALUATION OF FRUIT JUICE FROM BLENDS OF LOCAL APPLE (MALAY ROSE-APPLE) (SYZYGIUMMALACCENSE) AND PINEAPPLE (ANANASCOMOSUS)
- ENSEMBLE HUMAN MOVEMENT SEQUENCE PREDICTION MODEL USING APRIORI AND BAGGED J48 ON MACHINE LEARNING
- STUDY OF ELECTRICAL PROPERTIES OF CADMIUM SULPHIDE THIN FILMS WITH POLYANILINE FOR OPTOELECTRONIC APPLICATIONS
- PLAGIARISM OR ACADEMIC THEFT: TYPOLOGY, INDICATORS AND THE WAY OUT
- Bio-Inspired Approach to Generate Sink Mobility in Wireless Sensor Networks
Last modified: 2019-04-08 20:54:27