The Implications of Geotechnical Properties of Soil in the Development of Gully Erosion in Ukpor, Southeastern Nigeria
- Odoh, B. I.
- Arukwe-Moses, C. P.
- Ahaneku, C. V.
- Nwafor, G. E.
- Onyebum, T. E.
- Emenaha, O. T.
- Orabueze, C. V.
- Meniru, I. C.
- Amasiani, E. J.
- Ozoemena, O. G.
- 778-801
- Aug 26, 2024
- Environment
The Implications of Geotechnical Properties of Soil in the Development of Gully Erosion in Ukpor, Southeastern Nigeria
Odoh, B. I.¹, Arukwe-Moses, C. P.2, Ahaneku, C. V.2,5*, Nwafor, G. E.1, Onyebum, T. E.3, Emenaha, O. T.4, Orabueze, C. V.1, Meniru, I. C.1, Amasiani, E. J.2, and Ozoemena, O. G.2
*Corresponding Author
1Department of Applied Geophysics, Nnamdi Azikiwe University, Awka, Anambra State
2Department of Geological Sciences, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
3Department of Earth & Atmospheric Sciences, University of Nebraska-Lincoln, USA
4Department of Earth Sciences, Uppsala University, Sweden
5Marine Geology & Seafloor Surveying, Department of Geosciences, University of Malta, Msida, Malta
DOI: https://doi.org/10.51584/IJRIAS.2024.907064
Received: 08 July 2024; Revised: 25 July 2024; Accepted: 29 July 2024; Published: 26 August 2024
ABSTRACT
Gully erosion is a devastating form of soil degradation threatening environmental sustainability, socio-economic development, and human well-being worldwide. The Southeastern region of Nigeria, particularly Ukpor, is prone to gully erosion, which has resulted in the loss of infrastructure, agricultural land, and human settlements. While various factors contribute to gully erosion, the soil’s geotechnical properties remain an important aspect that has been given limited attention. This study investigates the implications of geotechnical properties of soils in the development of gully erosion in Ukpor. A comprehensive approach was adopted, combining drone-aided geologic field mapping, laboratory tests and spatial analysis. Soil samples were collected from different locations at 0.5 – 1m depth, and laboratory tests (Particle Size Distribution (PSD) and Atterberg Limits) were conducted to determine the soil’s geotechnical properties. The results reveal that the study area is underlain by the Ogwashi-Asaba formation. From the Particle Size Distribution and Atterberg Limit tests, the soils in the area were classified into 3; Group A (coarse-grained clayey sands), Group B (coarse-grained poorly graded to clayey sands) and Group C (poorly-graded coarse-grained sands). The Plasticity Index (PI) of Group A ranges from 13.4 – 18.2 while the Liquid Limit (LL) ranges from 27.8 to 34.9. The PI of Group B ranges from 15.49 to 17.35 while the LL ranges from 30.7 to 35.7, From the results, Group C soils were most affected by gullying. Given the above, the underlying soil strata of Ukpor metropolis could be classified as low plasticity soil, thus, highly susceptible to erosion. The results show a significant correlation between soil geotechnical properties and gully erosion susceptibility. The results have pivotal implications for soil conservation, sustainable land management, and infrastructure development in Ukpor and similar regions. The study recommends soil stabilization techniques and vegetation management strategies to mitigate gully erosion.
Keywords: Gully Erosion, Soil Geotechnical Properties, Ukpor, Soil Degradation, Kaolin.
INTRODUCTION
Gully erosion is a complex and multifaceted phenomenon that poses significant threats to environmental sustainability, socio-economic development, and human well-being worldwide. It is a type of soil erosion that involves the gradual degradation of landscapes through the formation of gullies, which are deep channels or trenches that can expand rapidly, leading to loss of fertile topsoil, infrastructure damage, and increased risk of landslides and flooding [1], [2], [3], [4], [5]. Following the ordinary definition of the word gully (i.e. an erosion channel too deep to be crossed by a wheeled vehicle), the gullies in Anambra State, particularly in South East Nigeria, would modestly be described as catastrophic. With many of them having depths and widths exceeding tens of kilometres, they would better be called Canyons [2].
The Niger Delta region of Nigeria is particularly vulnerable to gully erosion due to its unique geology, climate, and land use practices [5], [4], [6], [2]. The region’s soil geotechnical properties, which include texture, structure, permeability, shear strength, and others, play a crucial role in determining the susceptibility of soils to gully erosion [7], [8], [9]. However, despite the significance of this issue, the implications of geotechnical properties of soils on gully erosion in the Niger Delta region remain poorly understood.
Several workers have attributed the development of gullies in Anambra State to the influence of human activities on natural and geologic processes, while others have suggested that gullies are linked to concentrated runoff processes. [10] attributed the causes of gullies to the combination of physical, biotic and anthropogenic factors. [11] believe that gullies are caused by hydrogeological and hydrogeochemical properties of the rocks in the affected area. Previous studies have investigated the effects of rainfall, topography, land use, and vegetation cover on gully erosion, but the role of soil geotechnical properties has received limited attention [12], [3], [13], [14]. This knowledge gap is alarming, given the critical importance of soils in determining the stability and resilience of landscapes.
This study would contribute to a better understanding the complex interactions between soil geotechnical properties and gully erosion and inform strategies for mitigating and preventing this environmental hazard in Ukpor and elsewhere in the region.
GEOLOGY OF THE AREA
According to [15], [16], [17], the stratigraphic sequence of the Niger Delta comprises three broad lithostratigraphic units, which are also known as the subsurface unit and include; the Oligocene Benin Formation that is made up of continental shallow marine sand sequence, the Eocene Agbada Formation comprising of paralic sequence of alternating sand and shales and the basal marine shale unit of the Akata Formation (Paleocene). At the surface, the Niger Delta basin is made up of the Paleocene Imo Formation with Ebenebe, Igbaku and Umuna sandstones Members, Eocene Ameki Group with Nsugbe, Nanka and Ibeku Formations. The Ameki Group is overlain by the Oligocene Ogwashi-Asaba Formation and the Miocene Benin Formation (Fig. 1) [17].
Fig. 1: The stratigraphy of the Benue Trough, Anambra Basin and Niger Delta Basin [17].
The study area is underlain by the Ogwashi-Asaba formation (fig. 2). It is mostly covered by Claystone, Laterites with intercalation of Mudstones, Siltstones and Pebbles in in some areas. The Ogwashi-Asaba Formation host all the Kaolin deposits in the study areas [18], [19]. The vegetation in the area is controlled by geologic factors of topography, relief and lithology as well as other anthropogenic factors. The vegetation ranges from light rainforest to savannah. Dense vegetal cover with high trees is prominent around stream and the shaley lowlands while savannah vegetation and isolated trees are prominent on sandy highland. The area supports extensive man-made vegetation community which comprises mainly cashew orchard and palm trees. Human activities such as bush burning, agriculture and construction works have greatly modified the natural vegetation in the area and contributed to the gully erosion problem that is prominent [1]. The study area is physiologically characterized by highlands and lowlands. The drainage system consists of both perennial and seasonal streams. The drainage in this study area consists of streams and rivers. Some of the streams in the area include; The Obo River, Oboboi river, Ofala river, Orashi river, etc. The stream systems form a drainage pattern known as dendritic which structurally indicates the loose and consolidated nature of the formations which the study area lies and thus showing a total lack of structural controls.
Fig. 2: Geologic map of Ukpor and its environs showing the visited stations.
METHODOLOGY
Fieldwork was carried out to examine six active gully sites, (Fig. 3, 4, 5, 6, 7 and 8), measure their magnitude by taking measurements of depth, length and width, and assess the impact of the gullies on the socio-economic wellbeing of the people in the study area; identify causative factors as well as appraise the effects of control measures already in place. Where no control measures are in place, appropriate ways of checkmating the menace are suggested.
The method used in this study involved desk study, reconnaissance survey, drone-aided geological field mapping, sedimentological and geotechnical characterization through sieve and textural analysis. Eleven soil samples were collected from active gully sites, non-gully sites and kaoline/sand quarries for laboratory analysis. These samples were collected so that each soil sample was collected at the outcropping portion of the different lithologies within the study area. Soil sampling involved digging to a 0.5-1m depth to obtain fresh soil samples devoid of organic matter. The collected samples were carefully packaged in sample bags and appropriately labelled to maintain their integrity and traceability. Subsequently, the samples were allowed to air-dry under ambient temperature for a period of two weeks, ensuring that any moisture content was adequately reduced. Laboratory analysis includes Particle Size Distribution Analysis (PSD) and Atterberg Limit Test.
The particle size distribution analysis (PSD) is an analytical procedure to determine the relative proportion of different grain sizes (gradation) that comprise a soil mass. This is important in the geotechnical characterization of soil, the selection of filling materials, and the computation of porosity and permeability [20], [21]. This was done following the American Society for Testing Materials (ASTM) procedures [22]. The Atterberg Limit test measures the response of clay or shale samples to stress and their settlement characteristics, texture and firmness. Soils display different characteristics depending on their moisture content and prevailing conditions; hence, the consistency of the soil and different moisture content affects its geotechnical properties and applications. Atterberg limit test involves the plastic limit test, liquid limit test and plasticity index. This was done following the American Society for Testing Materials (ASTM) procedures.
Fig. 3: Gully erosion site at Ezinifite Road, Ebenator
Fig. 4: Gully site at Umudim-Nnewi
Fig. 5: Gully exposure at Nnewi South Local Government Headquarters, Ukpor
Fig. 6: Gully site at Otolo Nnewi
Fig. 7: Gully sites at Utuh
Fig. 8: Gully Site at Ebenator 1
RESULTS AND DISCUSSION
DRONE-AIDED GEOLOGIC FIELD MAPPING
A total of 18 stations were identified and described at different locations of the study area through the course of the geologic field mapping of the area. These stations include outcrops and exposures of the various lithologies of the area, gully sites, quarry sites, dumpsites, rivers and other indicators of the subsurface geology of the area. Data from these stations were used to infer the lithology at different locations of the study area as well as their lateral boundaries to construct the geologic map of the study area. It was observed that the gullies occur at elevations that ranges from 96.70m to 147.01m with a gentle slope. Also, the gullies trend with the general strike of the rock units which is approximately N – S. The depths of the gullies ranged from 2.0m to 50.0m and width that ranges from 6.60m to 50.00m and runs up to 524 m in length.
A careful study of the lithologic map shows the transitional characteristics of the various lithologies (Fig. 9). In towns like Umudim Nnewi, Otolo Nnewi, Ukpor, Utuh and Ebenator, the gully extends for kilometres with width and depth in tens and hundreds of meters. Generally, most of the gully sites investigated are still very active despite the control measures already in place.
Fig. 9: Lithologic map of the study area showing the gully sites
Table 1: Characteristics of Visited Gully Sites in Ukpor Metropolis
S/N | Location | Latitude | Longitude | Elevation | Depth | Width | Trend |
1 | Gully site Umudim Nnewi | N 05° 58’ 41.74” | E 006° 55’ 17.38” | 96.70m | – | – | 240° |
2 | Abandoned kaoline Quarry/Gully site Ukpor | N 05° 56’ 14.12” | E 006° 54’ 12.06” | 147.01m | 50m | 50m | 150° |
3 | Gully site Otolo Nnewi | N 05° 58’ 47.60” | E 006° 57’ 24.87” | 142.48m | 3m | 9.5m | 282° |
4 | Gully site Utuh | N 05° 57’ 48.41” | E 006° 57’ 59.01” | 121.05m | 2.15m | 6.60m | 230° |
5 | Gully site Ebenator | N 05° 56’ 20.33” | E 006° 57’ 53.91” | 99.69m | – | – | – |
6 | Gully site Ezinifite Road Ebenator | N 05° 56’ 16.65” | E 006° 58’ 4.02” | 105.90m | 50m | 33m | 266° |
SEDIMENTOLOGY
The eleven soil samples collected from active gully sites, non-gully sites and kaoline/sand quarries were subjected to particle size distribution analysis to obtain their particle size distribution curves. The particle size distribution curves were used to interpret the study area’s soil texture and sorting.
The data obtained from the particle size distribution analysis (Tables 2 – 9 and Figures 10 – 16) was used to compute the phi values of ɸ95, ɸ84, ɸ75, ɸ50, ɸ25, ɸ16 and ɸ5 using [23] formula.
Table 2: Particle size distribution data for Sample 1 (Station 1: Ugwupower, Umunuko-Ukpor)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMMULATI VE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0 | 0.00004 | 0.00002 | 0.00002 | 99.99998 |
2 | -1 | 1.3144 | 1.31444 | 0.65722 | 0.65724 | 99.34276 |
0.85 | 0.23 | 34.2144 | 34.21444 | 17.10722 | 17.76446 | 82.23554 |
0.6 | 0.74 | 31.4444 | 31.44444 | 15.72222 | 33.48668 | 66.51332 |
0.425 | 1.23 | 33.7744 | 33.77444 | 16.88722 | 50.3739 | 49.6261 |
0.3 | 1.74 | 24.5644 | 24.56444 | 12.28222 | 62.65612 | 37.34388 |
0.15 | 2.74 | 32.4244 | 32.42444 | 16.21222 | 78.86834 | 21.13166 |
0.075 | 3.74 | 22.1844 | 22.18444 | 11.09222 | 89.96056 | 10.03944 |
0.063 | 3.99 | 16.4644 | 16.46444 | 8.23222 | 98.19278 | 1.80722 |
PAN | 3.6144 | 3.61444 | 1.80722 | 100.00 | 0 | |
TOTAL | 199.9996 | 200.00 |
Fig. 10: Showing the sedimentological and engineering PSD curve for Sample 1.
Table 3: Particle size distribution data for Sample 2 (Station 2: Gully Site, Umudim-Nnewi)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0 | 0.022 | 0.011 | 0.011 | 99.989 |
2 | -1 | 0.82 | 0.842 | 0.421 | 0.432 | 99.568 |
0.85 | 0.23 | 25.58 | 25.602 | 12.801 | 13.233 | 86.767 |
0.6 | 0.74 | 29.12 | 29.142 | 14.571 | 27.804 | 72.196 |
0.425 | 1.23 | 36.52 | 36.542 | 18.271 | 46.075 | 53.925 |
0.3 | 1.74 | 36.14 | 36.162 | 18.081 | 64.156 | 35.844 |
0.15 | 2.74 | 38.62 | 38.642 | 19.321 | 83.477 | 16.523 |
0.075 | 3.74 | 18.54 | 18.562 | 9.281 | 92.758 | 7.242 |
0.063 | 3.99 | 9.7 | 9.722 | 4.861 | 97.619 | 2.381 |
PAN | 4.74 | 4.762 | 2.381 | 100 | 0 | |
TOTAL | 199.78 | 200.00 |
Fig. 11: Showing the sediment Sological and engineering PSD curve for Sample 2 at the Umudim-Nnewi Gully Site.
Table 4: Particle size distribution data for Sample 4 (Gully site at Nnewi-South LGA Headquarters, Ukpor)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0.46 | 0.482 | 0.241 | 0.241 | 99.759 |
2 | -1 | 1.45 | 1.472 | 0.736 | 0.977 | 99.023 |
0.85 | 0.23 | 41.15 | 41.172 | 20.586 | 21.563 | 78.437 |
0.6 | 0.74 | 40.22 | 40.242 | 20.121 | 41.684 | 58.316 |
0.425 | 1.23 | 38.68 | 38.702 | 19.351 | 61.035 | 38.965 |
0.3 | 1.74 | 31.78 | 31.802 | 15.901 | 76.936 | 23.064 |
0.15 | 2.74 | 30.18 | 30.202 | 15.101 | 92.037 | 7.963 |
0.075 | 3.74 | 9.43 | 9.452 | 4.726 | 96.763 | 3.237 |
0.063 | 3.99 | 3.93 | 3.952 | 1.976 | 98.739 | 1.261 |
PAN | 2.5 | 2.522 | 1.261 | 100 | 0 | |
TOTAL | 199.78 | 200 |
Fig. 12: Showing the sedimentological and engineering PSD curve for Sample 4 at the Nnewi South LGA Headquaters Gully Site.
Table 5: Particle size distribution data for Sample 6 (Station 10: Gully Site, Otolo-Nnewi)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0.12 | 0.144 | 0.072 | 0.072 | 99.928 |
2 | -1 | 5.52 | 5.544 | 2.772 | 2.844 | 97.156 |
0.85 | 0.23 | 23.97 | 23.994 | 11.997 | 14.841 | 85.159 |
0.6 | 0.74 | 27.6 | 27.624 | 13.812 | 28.653 | 71.347 |
0.425 | 1.23 | 32.91 | 32.934 | 16.467 | 45.12 | 54.88 |
0.3 | 1.74 | 31.09 | 31.114 | 15.557 | 60.677 | 39.323 |
0.15 | 2.74 | 43.12 | 43.144 | 21.572 | 82.249 | 17.751 |
0.075 | 3.74 | 17.41 | 17.434 | 8.717 | 90.966 | 9.034 |
0.063 | 3.99 | 13.23 | 13.254 | 6.627 | 97.593 | 2.407 |
PAN | 4.79 | 4.814 | 2.407 | 100 | 0 | |
TOTAL | 199.76 | 200 |
Fig. 13: Showing the sedimentological and engineering PSD curve for Sample 6 at the Otolo Nnewi Gully Site.
Table 6: Particle size distribution data for Sample 7 (Station 12: Gully Site, Utuh)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0 | 0.02 | 0.01 | 0.01 | 99.99 |
2 | -1 | 0.87 | 0.89 | 0.445 | 0.455 | 99.545 |
0.85 | 0.23 | 31.05 | 31.07 | 15.535 | 15.99 | 84.01 |
0.6 | 0.74 | 34 | 34.02 | 17.01 | 33 | 67 |
0.425 | 1.23 | 37.37 | 37.39 | 18.695 | 51.695 | 48.305 |
0.3 | 1.74 | 32.37 | 32.39 | 16.195 | 67.89 | 32.11 |
0.15 | 2.74 | 38.99 | 39.01 | 19.505 | 87.395 | 12.605 |
0.075 | 3.74 | 14.58 | 14.6 | 7.3 | 94.695 | 5.305 |
0.063 | 3.99 | 7.75 | 7.77 | 3.885 | 98.58 | 1.42 |
PAN | 2.82 | 2.84 | 1.42 | 100 | 0 | |
TOTAL | 199.8 | 200 |
Fig. 14: Showing the sedimentological and engineering PSD curve for Sample 7 at the Utuh Gully Site.
Table 7: Particle size distribution data for Sample 9 (Station 16: Gully site, Ebenator 1)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0 | 0.032 | 0.016 | 0.016 | 99.984 |
2 | -1 | 16.66 | 16.692 | 8.346 | 8.362 | 91.638 |
0.85 | 0.23 | 20.95 | 20.982 | 10.491 | 18.853 | 81.147 |
0.6 | 0.74 | 31.31 | 31.342 | 15.671 | 34.524 | 65.476 |
0.425 | 1.23 | 37.75 | 37.782 | 18.891 | 53.415 | 46.585 |
0.3 | 1.74 | 59.33 | 59.362 | 29.681 | 83.096 | 16.904 |
0.15 | 2.74 | 19.79 | 19.822 | 9.911 | 93.007 | 6.993 |
0.075 | 3.74 | 4.7 | 4.732 | 2.366 | 95.373 | 4.627 |
0.063 | 3.99 | 9.19 | 9.222 | 4.611 | 99.984 | 0.016 |
PAN | 0 | 0.032 | 0.016 | 100 | 0 | |
TOTAL | 199.68 | 200 |
Fig. 15: Showing the sedimentological and engineering PSD curve for Sample 9 at the Ebenator Gully Site.
Table 8: Particle size distribution data for Sample 10 (Station 17: Gully site, Ezinifite Road, Ebenator)
SIEVE SIZE (mm) | Phi (ɸ) | MASS RETAINED (g) | CORRECTED WEIGHT | TOTAL RETAINED (%) | CUMULATIVE RETAINED (%) | % PASSING |
4.75 | -2.25 | 0 | 0.032 | 0.016 | 0.016 | 99.984 |
2 | -1 | 0.36 | 0.392 | 0.196 | 0.212 | 99.788 |
0.85 | 0.23 | 35.34 | 35.372 | 17.686 | 17.898 | 82.102 |
0.6 | 0.74 | 22.87 | 22.902 | 11.451 | 29.349 | 70.651 |
0.425 | 1.23 | 76.64 | 76.672 | 38.336 | 67.685 | 32.315 |
0.3 | 1.74 | 26.7 | 26.732 | 13.366 | 81.051 | 18.949 |
0.15 | 2.74 | 32.13 | 32.162 | 16.081 | 97.132 | 2.868 |
0.075 | 3.74 | 4.84 | 4.872 | 2.436 | 99.568 | 0.432 |
0.063 | 3.99 | 0.43 | 0.462 | 0.231 | 99.799 | 0.201 |
PAN | 0.37 | 0.402 | 0.201 | 100 | 0 | |
TOTAL | 199.68 | 200 |
Fig. 16: Showing the sedimentological and engineering PSD curve for Sample 10 at the Ezinifite Road, Ebenator Gully Site.
A summary of the phi values of the 11 soil samples is presented in table 9
Table 9: Phi values for all 11 samples
Sample Name | ɸ95 | ɸ84 | ɸ75 | ɸ50 | ɸ25 | ɸ16 | ɸ5 |
Sample 1 | 3.89 | 3.20 | 2.50 | 1.22 | 0.46 | 0.10 | -0.69 |
Sample 2 | 3.86 | 2.80 | 2.30 | 1.34 | 0.64 | 0.33 | -0.56 |
Sample 3 | 3.87 | 3.12 | 2.56 | 1.62 | 0.80 | 0.34 | -0.68 |
Sample 4 | 3.37 | 2.21 | 1.68 | 0.95 | 0.32 | -0.10 | -0.76 |
Sample 5 | 3.88 | 3.31 | 2.68 | 1.55 | 0.31 | -0.39 | -1.55 |
Sample 6 | 3.89 | 2.94 | 2.40 | 1.39 | 0.61 | 0.27 | -0.78 |
Sample 7 | 3.76 | 2.57 | 2.10 | 1.19 | 0.50 | 0.23 | -0.64 |
Sample 8 | 3.91 | 3.53 | 3.06 | 1.67 | 0.77 | 0.48 | -0.34 |
Sample 9 | 3.72 | 1.83 | 1.60 | 1.14 | 0.43 | -0.10 | -1.50 |
Sample 10 | 2.61 | 1.92 | 1.51 | 1.00 | 0.55 | 0.10 | -0.67 |
Sample 11 | 3.79 | 2.95 | 2.49 | 1.56 | 0.82 | 0.47 | -0.44 |
The data from Table 9 was used to compute the mean, median, standard deviation, skewness and kurtosis of the grain size distribution. Using the descriptive measure of grain-size distribution based on [23], inferences were made to determine their grain size and sorting.
Table 9: Statistical analysis data on soil samples (based on [23])
Sample Name | Median | Mean | Remark | Standard deviation | Remarks | Skewness | Remarks | Kurtosis | Remarks |
Sample 1 | 1.22 | 1.51 | Medium sand | 1.47 | Poorly sorted | 0.22 | Positively skewed | 0.92 | Mesokurtic |
Sample 2 | 1.34 | 1.49 | Medium sand | 1.29 | Poorly sorted | 0.16 | Positively skewed | 1.09 | Mesokurtic |
Sample 3 | 1.62 | 1.69 | Medium sand | 1.38 | Poorly sorted | 0.03 | Symmetrical | 1.06 | Mesokurtic |
Sample 4 | 0.95 | 1.02 | Medium sand | 1.20 | Poorly sorted | 0.14 | Positively skewed | 1.24 | Leptokurtic |
Sample 5 | 1.55 | 1.49 | Medium sand | 1.75 | Poorly sorted | 0.09 | Symmetrical | 0.94 | Mesokurtic |
Sample 6 | 1.39 | 1.53 | Medium sand | 1.37 | Poorly sorted | 0.12 | Positively skewed | 1.07 | Mesokurtic |
Sample 7 | 1.19 | 1.33 | Medium sand | 1.25 | Poorly sorted | 0.17 | Positively skewed | 1.13 | Leptokurtic |
Sample 8 | 1.67 | 1.89 | Medium sand | 1.40 | Poorly sorted | 0.14 | Positively skewed | 0.76 | Platykurtic |
Sample 9 | 1.14 | 0.96 | Coarse sand | 1.28 | Poorly sorted | -0.15 | Very negatively skewed | 1.83 | Very Leptokurtic |
Sample 10 | 1.00 | 1.01 | Medium sand | 0.95 | Moderately sorted | 0.00 | Symmetrical | 1.40 | Leptokurtic |
Sample 11 | 1.56 | 1.66 | Medium sand | 1.26 | Poorly sorted | 0.09 | Symmetrical | 1.04 | Mesokurtic |
From the computations above, the grain sizes of the soils in the area are dominantly medium-grained with poor sorting except for sample 9. The results of the textural properties of the soils in the study area reveals that the textural properties of these soils to contribute significantly to the erosion and gully propagation in the area as agreed by [24].
ENGINEERING GEOLOGY
The particle size distribution curves obtained were used to compute the values of the Coefficient of uniformity (Cu) and Coefficient of curvature (Cc) in order to infer the gradations of the soil samples respectively.
Table 10: Summary of the gradation of the soil samples in the study area
Sample Number | Coefficient of Uniformity | Remark | Coefficient of Curvature | Remark |
Sample 1 | 6.63 | Well graded | 1.25 | Well graded |
Sample 2 | 4.80 | Well graded | 1.30 | Well graded |
Sample 3 | 5.00 | Well graded | 1.38 | Well graded |
Sample 4 | 3.65 | Well graded | 1.16 | Well graded |
Sample 5 | 5.75 | Well graded | 0.98 | Well graded |
Sample 6 | 6.00 | Well graded | 1.50 | Well graded |
Sample 7 | 4.42 | Well graded | 1.23 | Well graded |
Sample 8 | 6.00 | Well graded | 0.77 | Well graded |
Sample 9 | 2.75 | Uniform graded | 1.18 | Well graded |
Sample 10 | 2.50 | Uniform graded | 1.32 | Well graded |
Sample 11 | 4.10 | Well graded | 1.18 | Well graded |
The data obtained from the particle size distribution (PSD) analysis was used to classify the soils according to the Unified Soil Classification System. From the PSD, the soils in the area are classified into 3:
- Group A (coarse-grained clayey sands) – Stations 6 (Gully site Otolo Nnewi), 7 (Gully site Utuh), 11 (All Saints Ezinifite) and 5 (River Oboboi).
- Group B (coarse-grained poorly graded to clayey sands) – Stations 1 (Ugwupower Umunuko), 3 (River Obo Ukpor), and 8 (River Ofala Ebenator)
- Group C (poorly-graded coarse-grained sands) – Stations 10 (Gully site, Ezinifite road, Ebenator), 4 (Abandoned kaoline quarry/gully site, Ukpor), 9 (Gully site Ebenator) and 2 (Gully site Umudim)
Fig. 15: Soil Classification Map of Ukpor and Its environs
Fig. 16: Summary Particle Distribution curve of Group A, B and C
The soils are generally poorly graded, this suggests a decrease in cohesion and resistance to soil cracking. Previous works by [25], [26], [27], [28] on sandy soils in Southeastern Nigeria seem to agree that soil/gully erosion is more severe in areas of rugged terrain underlain by friable sandy soils with high fines content and unconsolidated sandy bedrock.
Atterberg Limit Test
Clay samples collected from 7 stations (Stations 1, 4, 6, 10, 12, 15, 16) were subjected to Atterberg’s limit tests. The results and graphs are presented in Tables 11 – 19 and Figures 17 – 21.
Table 11: Plastic Limit Test Data for Sample 1 at Ugwu Power, Umunuko-Ukpor
PLASTIC LIMIT DETERMINATION | |||
Sample 1 | TEST 1 | TEST 2 | TEST 3 |
Tare number/name | PA1 | PA2 | PA3 |
Mass of tare (g) | 13.93 | 15.51 | 15.13 |
Mass of tare + wet sample | 15.10 | 16.58 | 16.27 |
Mass of tare + dry sample | 14.93 | 16.44 | 16.03 |
Mass of wet sample | 1.17 | 1.07 | 1.14 |
Mass of dry sample | 1.00 | 0.93 | 0.95 |
Weight of water | 0.17 | 0.14 | 0.19 |
Moisture content (%) | 17 | 15.05 | 20 |
PLASTIC LIMIT | 17.35 |
Table 12: Liquid Limit Test Data for Sample 1 at Ugwu Power, Umunuko-Ukpor
LIQUID LIMIT DETERMINATION | ||||
Sample 1 | TEST 1 | TEST 2 | TEST 3 | TEST 4 |
Tare number/name | LA1 | LA2 | LA3 | LA4 |
Mass of tare(g) | 16.33 | 17.05 | 15.75 | 15.41 |
Mass of tare + wet sample | 37.55 | 42.32 | 41.79 | 41.79 |
Mass of tare + dry sample | 32.41 | 35.92 | 34.8 | 34.75 |
Mass of wet sample | 21.22 | 25.27 | 25.8 | 26.38 |
Mass of dry sample | 16.08 | 18.87 | 19.05 | 19.34 |
Weight of water | 5.14 | 6.4 | 6.75 | 7.04 |
Moisture content (%) | 31.97 | 33.92 | 35.43 | 36.40 |
LIQUID LIMIT | 35.50 |
Fig. 17: Liquid limit flow curve for Sample 1 at Ugwu Power, Umunuko-Ukpor
Table 13: Plastic limit test data for sample 7 at the Ebenator Gully Site
PLASTIC LIMIT DETERMINATION | |||
Sample 7 | TEST 1 | TEST 2 | TEST 3 |
Tare number/name | PG1 | PG2 | PG3 |
Mass of tare (g) | 14.6 | 17.56 | 16.66 |
Mass of tare + wet sample | 21.95 | 24.36 | 19.1 |
Mass of tare + dry sample | 20.93 | 23.12 | 18.54 |
Mass of wet sample | 7.35 | 6.8 | 2.44 |
Mass of dry sample | 6.33 | 5.56 | 1.88 |
Weight of water | 1.02 | 1.24 | 0.56 |
Moisture content (%) | 16.11 | 22.30 | 29.79 |
PLASTIC LIMIT | 22.73 |
Table 14: Liquid limit test data for sample 7 at the Ebenator Gully Site
LIQUID LIMIT DETERMINATION | ||||
Sample 7 | TEST 1 | TEST 2 | TEST 3 | TEST 4 |
Tare number/name | LG1 | LG2 | LG3 | LG4 |
Mass of tare (g) | 15.65 | 14.77 | 14.6 | 13.91 |
Mass of tare + wet sample | 33.47 | 43.66 | 33.52 | 43.95 |
Mass of tare + dry sample | 29.68 | 37.6 | 29.48 | 36.99 |
Mass of wet sample | 17.82 | 28.89 | 18.92 | 30.04 |
Mass of dry sample | 14.03 | 22.83 | 14.88 | 23.08 |
Weight of water | 3.79 | 6.06 | 4.04 | 6.96 |
Moisture content (%) | 27.01 | 26.54 | 27.15 | 30.16 |
LIQUID LIMIT | 29.10 |
Fig. 18: Liquid limit flow curve for Sample 7 at the Ebenator Gully Site
Table 115: Plastic limit test data for Sample 4 at the Otolo Nnewi Gully Site
PLASTIC LIMIT DETERMINATION | |||
Sample 4 | TEST 1 | TEST 2 | TEST 3 |
Tare number/name | PD1 | PD2 | PD3 |
Mass of tare (g) | 16.62 | 14.65 | 17.01 |
Mass of tare + wet sample | 19.52 | 16.17 | 18.05 |
Mass of tare + dry sample | 19.17 | 15.99 | 17.93 |
Mass of wet sample | 2.9 | 1.52 | 1.04 |
Mass of dry sample | 2.55 | 1.34 | 0.92 |
Weight of water | 0.35 | 0.18 | 0.12 |
Moisture content (%) | 13.73 | 13.43 | 13.04 |
PLASTIC LIMIT | 13.40 |
Table 16: Liquid Limit Test data for Sample 4 at the Otolo Nnewi Gully Site
LIQUID LIMIT DETERMINATION | ||||
Sample 4 | TEST 1 | TEST 2 | TEST 3 | TEST 4 |
Tare number/name | LD1 | LD2 | LD3 | LD4 |
Mass of tare (g) | 16.68 | 14.84 | 14.12 | 16.65 |
Mass of tare + wet sample | 40.71 | 42.54 | 38.72 | 35.76 |
Mass of tare + dry sample | 35.76 | 36.68 | 33.5 | 31.52 |
Mass of wet sample | 24.03 | 27.7 | 24.6 | 19.11 |
Mass of dry sample | 19.08 | 21.84 | 19.38 | 14.87 |
Weight of water | 4.95 | 5.86 | 5.22 | 4.24 |
Moisture content (%) | 25.94339623 | 26.83150183 | 26.93498452 | 28.51378615 |
LIQUID LIMIT | 27.80 |
Fig. 19: Liquid limit flow curve for sample 4 at the Otolo Nnewi Gully Site
Table 17: Plastic limit test data for Sample 5 at the Utuh Gully Site
PLASTIC LIMIT DETERMINATION | |||
Sample 5 | TEST 1 | TEST 2 | TEST 3 |
Tare number/name | PE1 | PE2 | PE3 |
Mass of tare (g) | 15.36 | 15.21 | 13.98 |
Mass of tare + wet sample | 18.71 | 18.46 | 15.6 |
Mass of tare + dry sample | 18.12 | 17.87 | 15.34 |
Mass of wet sample | 3.35 | 3.25 | 1.62 |
Mass of dry sample | 2.76 | 2.66 | 1.36 |
Weight of water | 0.59 | 0.59 | 0.26 |
Moisture content (%) | 21.38 | 22.18 | 19.12 |
PLASTIC LIMIT | 20.89 |
Table 18: Liquid limit test data for Sample 5 at the Utuh Gully Site
LIQUID LIMIT DETERMINATION | ||||
Sample 5 | TEST 1 | TEST 2 | TEST 3 | TEST 4 |
Tare number/name | LE1 | LE2 | LE3 | LE4 |
Mass of tare (g) | 17.98 | 15.75 | 16.01 | 14.91 |
Mass of tare + wet sample | 36.93 | 32.49 | 34.24 | 32.9 |
Mass of tare + dry sample | 31.99 | 28.05 | 29.2 | 27.67 |
Mass of wet sample | 18.95 | 16.76 | 18.23 | 17.99 |
Mass of dry sample | 14.01 | 12.32 | 13.19 | 12.76 |
Weight of water | 4.94 | 4.44 | 5.04 | 5.23 |
Moisture content (%) | 35.26 | 36.04 | 38.21 | 40.99 |
LIQUID LIMIT | 39.60 |
Fig. 20: Liquid limit flow curve for Sample 5 at the Utuh Gully Site
Table 19: Summary of the Atterberg’s limit test results of the Soil Samples in the Study Area
Sample/Station Name | Plastic limit | Liquid limit | Plasticity index |
Sample 1 – Ugwupower Umunuko-Ukpor | 17.35 | 35.70 | 18.35 |
Sample 2 – River Obo Ukpor | 15.49 | 30.60 | 15.11 |
Sample 3 – River Oboboi Ukpor | 18.20 | 34.90 | 16.70 |
Sample 4 – Gully site Otolo-Nnewi | 13.40 | 27.80 | 14.40 |
Sample 5 – Gully site Utuh | 20.89 | 39.60 | 18.71 |
Sample 6 – River Ofala Ebenator | 15.46 | 21.50 | 6.04 |
Sample 7 – Gully site Ebenator 1 | 22.73 | 29.10 | 6.37 |
The plasticity of the clays was further classified using the Unified Soil Classification System (USCS) [22].
Fig. 21: The classification of the clays in the study area is shown using the USCS plasticity chart.
From the classification above, the study area exhibits a range of clay types, including low plasticity inorganic clays and low elasticity silty soil. Clay samples from Locations 1, 3, 5, 6, and 7 consistently fell above the “A-line” indicating the presence of clayey soils with low plasticity. In contrast, clay samples from Locations 8 and 9 fell below the “A-line” indicating silty soils with low elasticity.
[29] pointed out that PI<35 should be considered low plasticity due to low content of fine materials, which indicates that such soil may change from one state of consistency to another with less change in water content [25]. Sediments containing more clay tend to be more resistant to erosion than those with sand or silt, because the clay helps bind soil particles together [30].
Give the above, the underlying soil strata of Ukpor metropolis could be classified as low plasticity soil, thus, highly susceptible to erosion. This is because the soil is friable and therefore results to ease of water flow, moving the soil particles down slope with increase in velocity of motion of the water [31].
Thus, soil unit with the least plasticity index will have the highest instability. As seen in location 9 (massive gully erosion site at Ezinifite road, Ebenator). Thus, the erodibility of the soil in the study area is high.
Impact of Gullying in the Study Area
Dreadful impacts of gullying were observed in the study area, under the friable sands of the Ogwashi-Asaba formation. These impacts include:
Soil and Land Loss: The main impact of the various types of erosion operating in the study area is that they contribute to soil and land loss. The removal of the topsoil is prevalent on bare slopes. This impoverishes the land and, therefore, reduces the agricultural yield.
Loss of Economic Trees and Crops: Economic trees and crops are often lost to gullying, resulting in poor farm yields and crops. This works hand in hand with soil and land loss and influences the scourge of famine, poverty and hardship. It can also lead to desert encroachment due to removing vegetative cover.
Loss or Damage to Infrastructures: Gullying processes have damaged roads, water pipes, and infrastructural facilities in both towns and villages in the state. Road washouts are common and often with occasional fatalities.
Population Displacement: Personal houses originally constructed far from gullies gradually become subject to the threat of destruction from gullying. Many towns and communities are being threatened. Gullying has resulted in human displacement, a condition that is traumatic and psychologically agonizing. The material loss is huge, but the trauma caused by the physical displacement and forcible relocation from the ancestral home is unquantifiable.
Combat Measures
The menace of gully erosion in the study area, especially in the areas underlain by the friable sandstone, has become serious environmental havoc despite the efforts to control it, ranging from individuals through communities to various tiers of government and beyond, but the problem still persists.
Efforts by the government and higher levels include:
- Land reclamation of already developed gullies using good engineering techniques.
- Construction of roadside concrete storm drains terminated at the base level, e.g., river.
- Construction of drop structures and flood/storm breakers.
- Rip-rap for slope stability
- Construction of check dams.
CONCLUSION
In conclusion, gully erosion represents a significant environmental and socio-economic challenge, particularly in regions like Ukpor in Southeastern Nigeria. This study underscores the critical role of geotechnical properties of soil in the development and progression of gully erosion in the area. A comprehensive methodology involving field observations, laboratory tests, and spatial analysis determined that specific soil characteristics, such as texture, gradation and plasticity are closely linked to erosion susceptibility. The findings reveal that the predominance of low plasticity soils, significantly contributes to the area’s high erodibility.
These insights have profound implications for soil conservation and sustainable land management practices. The study recommends implementing soil stabilization techniques and vegetation management strategies to mitigate the adverse effects of gully erosion.
Addressing gully erosion in Ukpor requires a holistic approach that integrates geotechnical understanding with practical soil management strategies, ensuring the protection of infrastructure, agricultural land, and human settlements while promoting environmental sustainability.
ACKNOWLEDGEMENT
We thank the American Association of Petroleum Geologists (AAPG) for funding this research through the 2022 AAPG Sustainable Development in Energy Contest. This work has benefited from discussions from experts in the field of Geosciences.
CONFLICTS OF INTEREST
The authors declare that they have no conflicts of interest.
FUNDING
This research was funded by the 2022 AAPG Sustainable Development in Energy Contest Awards.
REFERENCES
- Obiadi, I.I., Nwosu, C.M., Ajaegwu, N.E., Anakwuba, E.K., Onuigbo, N.E., Akpunonu, E.O., Ezim, O.E. (2011). Gully Erosion in Anambra State, South East Nigeria: Issues and Solution. International Journal of Environmental Sciences, Vol. 2 No.2 pp 795-805
- Oshim, O.F., Ayajuru, C.N., Anumaka, C.C., Olayemi, S.O. (2023). Review of Gully erosion in Anambra state: Geology, Causes, Effects, Control measures and Challenges associated with it’s mitigation. Journal of Geography, Environment and Earth Science International, Volume 27, pp 102-116.
- Ekwueme, O. U. (2024). Comparative study of geophysical and geotechnical assessment of selected gully erosion in Nsukka zone, Southeastern Nigeria. Journal of Scientific and Enginnering Research, 11(1): 190-202.
- Igwe, O. (2015). Predisposing factors and the mechanisms of rainfall-induced slope movements in Ugwueme, South-East Nigeria Bulletin of Engineering Geology and the Environment. doi:10.1007/s10064-015-0767-0
- Abdulfatai1, I. A., Okunlola, I. A., Akande, W. G., Momoh, L. O. and Ibrahim, K. O. (2014). Review of Gully Erosion in Nigeria: Causes, Impacts and Possible Solution. Journal of Geosciences and Geomatics, 7(3), 125-129.
- [6] Igwe, C. A. (2012). Gully erosion in southeastern Nigeria: Role of soil properties and environmental factors in Tech Research on Soil Erosion, G. Danilo, Ed. doi:10.5772/51020
- Grabowski, R. C., Droppo, I. G. & Wharton, G (2011). Erodibility of cohesive sediment: The importance of sediment properties. Earth Science Review, Vol 105:101-20.
- Jain, V. and Dixit, M. (2015). Correlation of plasticity index and compression index of soil. International Journal of Information and Education Technology. Vol. 5, pp. 263-270.
- Emeh,C. O., & Igwe, O. (2017). Variations in soils derived from an erodible sandstone formation and factors controlling their susceptibility to erosion and landslide. Journal of the Geological Society of India,90(3), 362–370.
- Nwajide, S.C. and Hoque, M. (1979) Gullying Processes in Southeastern Nigeria. Nigerian Geography Journal, 8, 45-59.
- Egboka, B.C. E. and Nwankwor, G.I. (1985) The Hydrogeological and Geotechnical Parameters as Agents for Gully-Type Erosion in the Rain-Forest Belt of Nigeria. Journal of African Earth Sciences (1983), 3, 417-425. https://doi.org/10.1016/S0899-5362(85)80084-1
- Hopkins, T., Sun, L., and Beckham, T. (2006). Characteristics and engineering properties of the soft soil layer in highway soil subgrades; Research Report for Kentucky Transportation Center, University of Kentucky; Lexington, KY, USA. pp. 1-82.
- Kibria, G & Hossain, M. S. (2012). Investigation of geotechnical parameters affecting electrical resistivity of compacted clays. Journal of Geotechnical Geoenvironmental Engineering, Vol 10:1520-9. 16. Lakew, D. and Belayneh, A. (2012). A field guide on gully prevention and control, Addis Ababa, Ethiopia.
- Igwe, O., & Egbueri, J. C. (2018). The characteristics and the erodibility potentials of soils from different geologic for-mations in Anambra State, Southeastern Nigeria. Journal of the Geological Society of India,92(4), 471–478.
- Obaje, N. G. (2009). Geology and mineral resources of Nigeria. Springer.
- Avbovbo, A. A. (1978). Sedimentary facies of the Niger Delta. AAPG Bulletin, 62(6), pp 950-966.
- Nwajide, C.S., (2013). “Geology of Nigeria’s sedimentary basins”. CSS Bookshop Limited. Lagos. 556pp.
- Chidera, I. V., Egbunike, M. E., Okpoko, E. I., Okpala, E. C., Onwuka, C. J. (2019). Paleo-Environmental Deductions from Grain size Analysis: A Case Study of the Eocene – Oligocene Sand Facies in Osumenyi and Ukpor areas of South-Eastern, Nigeria. Journal of Earth Science and Climate Change, 10, 512.
- Ezechi, J.I., and Okagbue, C. O. (1989), a genetic classification of gullies in eastern Nigeria and its implications on control measures. Journal of African Earth Sciences, 9, pp 711-718.
- Evamy, B. D., Haremboure, J., Kamerling, P., Knaap, W. A., Molloy, F. A., & Rowlands, P. H. (1978). Hydrocarbon habitat of Tertiary Niger Delta. AAPG Bulletin, 62(1), 1-39.
- L’Heureuz, J.S., and Lunne, T. (2020). Characterization and engineering properties of natural soils used for geo-testing. AIMS Geosciences. Vol. 6, pp. 35-53. doi: 10.3934/geosci.2020004
- AASHTO, (2006). Soils and Stabilization, Standard Specifications for Transportation Material and Methods of Sampling and Testing: Part 1A Specifications, 26th ed.; American Association of State Highway and Transportation Officials, Washington, DC, USA.
- Folk, R.L., and Ward, W.C. (1957). A study on the significance of grain size parameter. Journal of sedimentary Petrology, Vol.27, pp. 3-26.
- Hudec, P. P., Simpson, F., Akpokodje, E. G., and Umenweke, M. O. (2006). Termination of Gully Erosion Processes, Southeastern Nigeria. Proceedings of the Eight Federal Interagency Sedimentation Conference (8thFISC), April 2 – 6, 2006, Reno, NV, USA. Pp. 671 – 679.
- Akpokodje, E.G. (2001). Introduction to Engineering Geology. Pam Unique Publications. PP. 259.
- Okogbue, C. O., and Aghamelu, O. P. (2010a). The Impact of the Geotechnical Properties of the Abakaliki Shale on the Incessant Road Failures in the Abakaliki Area, southeastern Nigeria. Paper presented at the 1st International Workshop on Landslides and Other Natural Disasters, University of Nigeria, Nsukka, Nigeria. 22-26th March 2010
- Teme, S.C. (2001). Some Geotechnical Considerations in Gully Erosion Control –Case Histories from Anambra State. Paper Presented at the Annual Conference. Nig. Soc. Of Engr.
- Okeke, O. C., & Enwelu, C. (2010). Geotechnical Aspect of Soil Erosion Investigation, Control and Monitoring. UNJOTECH, Vol.1, No.2, PP.1-2.
- Clayton, C.R.I., and Jukes, A.W. (1978). A One Point Penetrometer Liquid Limit Test, Geotechnique, 28, 469-472 Coduto, D.P., 1999. Geotechnical Engineering: Principles and Practice. Prentice Hall Inc. Upper Saddle River, New Jersey 07458.
- Nichols G. (2009). Sedimentology and Stratigraphy. New York: John Wiley & Sons; p. 93.
- Okengwo, O.N., Okeke, O. C., Okereke, C. N., and Paschal, A. C. (2015). Geological and Geotechnical Studies of Gully Erosion at Ekwulobia, Oko and Nanka Towns, Southeastern Nigeria. Electronic Journal of Geotechnical Engineering.