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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].

The stratigraphy of the Benue Trough, Anambra Basin and Niger Delta Basin

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:

  1. Group A (coarse-grained clayey sands) – Stations 6 (Gully site Otolo Nnewi), 7 (Gully site Utuh), 11 (All Saints Ezinifite) and 5 (River Oboboi).
  2. Group B (coarse-grained poorly graded to clayey sands) – Stations 1 (Ugwupower Umunuko), 3 (River Obo Ukpor), and 8 (River Ofala Ebenator)
  3. 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.

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