Road Layout Cuts Volume Evaluation by Electrical Resistivity Tomography: Case Study of Gagnoa-Gueyo-Bamenadou Road Project

Abstract

A study of excavated material on the Gagnoa-Guéyo-Bamenadou road project in southwest Côte d’Ivoire was carried out using electrical resistivity tomography with a dipole-dipole configuration. This study aimed to determine the nature and volume of the studied cuts. Based on the cumulative distances of the longitudinal sections of the road alignment superimposed on the tomographic profiles, a cumulative volume of 104681 m3 of material was determined. This volume comprises 88557 m3 of soft cuts and 16,124 m3 of rocky cuts, which can be reused in specific embankment zones. This work may, therefore be useful in the characterization of cuts in a preliminary design study, in order to anticipate changes during the road’s development and asphalting.

Share and Cite:

Kouamelan, K. S., Yapo, A. M., Ouattara, Y. and Brantson, E. T. (2024) Road Layout Cuts Volume Evaluation by Electrical Resistivity Tomography: Case Study of Gagnoa-Gueyo-Bamenadou Road Project. Journal of Geoscience and Environment Protection, 12, 38-54. doi: 10.4236/gep.2024.1210003.

1. Introduction

Road infrastructure plays a vital role in the sustainable socio-economic development of nations (Nawir et al., 2023; Akpan & Morimoto, 2022; Lykova, 2021; Gibson & Olivia, 2010). In Côte d’Ivoire, the poor state of the road network was costing the national economy almost 1000 billion FCFA a year, according to a study by the Ministry of Agriculture, Rural Development and Food Production. Since 2011, the state of Côte d’Ivoire’s roads has improved considerably, thanks to the government’s huge investments in the sector (CICG, 2019). The asphalt road network has expanded significantly, from 6500 km in 2015 to 8100 km in 2024 (https://www.economie-ivoirienne.ci/activites-sectorielles/etat-des-infrastructures-routieres.html). Despite the efforts made, the road network remains a real factor slowing down the development process. In fact, in 2023, 73900 km of the Ivorian road network (82000 km) consisted of earth roads (www.ageroute.ci/gestion-du-reseau/reseau-routier). In addition, the dilapidated condition of some asphalt roads makes it difficult for people and goods to move around. To alleviate these difficulties, the Ivorian government has embarked on a new initiative to maintain and safeguard the country’s road heritage, not forgetting the upgrading and asphalting of certain roads, focusing on the implementation of major road projects throughout the country.

The execution of a road project requires preliminary design studies, which include the road alignment study (Solodkiy & Gorev, 2018). In Côte d’Ivoire, several intercity road projects are currently underway, including the Gagnoa-Gueyo-Bamenadou road development and asphalting project. Pre-project studies, including excavation studies, are of paramount importance in assessing project costs and minimizing cost overruns during execution (Robson et al., 2022). The study of the cut areas of the Gagnoa-Guéyo-Bamenadou route is located in a granitic geological context of the Ivorian basement. The aim of this research work is to locate and quantify the granitic and soft rock cuttings of the project by means of a geophysical investigation.

The approach used is that of electrical resistivity tomography, a rapid technique that can be used to delineate the profile of the rocky roof in relation to the unconsolidated layers. This method is one of the most widely used in geotechnical and environmental research (Alam et al., 2024; Whiteley et al., 2023; Ayolabi et al., 2012).

2. Geographical and Geological Context

The Gagnoa-Guéyo-Bamenadou road is located in south-west Côte d’Ivoire (Figure 1(a)). It links the departments of Gagnoa, Guéyo and Sassandra. The area’s geomorphology is marked by an undulating peneplain with topographical variations ranging from 19 to 364 m (Figure 1(c)), with vegetation once dominated by dense forest (PEMED-CI, 2015).

This zone is located in the basement region. It is mainly composed of granitoids, but also includes sedimentary and volcano-sedimentary rocks (Figure 1(b)). The granodiorites of Sassandra-Guéyo constitute the two chemically distinct rock poles (tonalitic to granodioritic or calc-alkaline granitic) of a single massif. These granitoids are affected to the west by metamorphism that has produced a banded orthogneissified facies in the granodiorite (Milesi et al., 1989). The massifs have ages (Rb-Sr on total rock) of around 1700 Ma for Sassandra and 2090 Ma for the one at Guéyo (Papon, 1973). They are sometimes in contact with migmatites and Liberian gneisses.

Figure 1. Geological map and location of the study area.

3. Methodology

3.1. Longitudinal Section and Determination of Cut Areas

The longitudinal section of a road alignment shows the variation between the natural terrain elevation (ZTN) and the project’s red line (ZPr). Based on the longitudinal section (Figure 2), the cut and fill have been marked out using the elevation of the natural terrain and the elevation of the project’s red line (Figure 2).

Excavated areas have a natural terrain elevation (ZTN) higher than that of the project’s red line (ZPr): ZTN - ZPr > 0. They represent masses of earth that need to be removed to a specific depth in order to level or lower the ground level. Eleven cut zones (1 to 11), of varying lengths, were identified as part of this study (Table 1). In addition, the elevations of the natural terrain and the project were taken with an application length of 40 m during the project.

3.2. Electrical Resistivity Tomography

For data acquisition, the configuration used for electrical resistivity tomography is the dipole-dipole (Figure 3) with an inter-electrode spacing of 10 m. This configuration comprises current (AB) and potential (MN) dipoles, which are usually placed linearly on the ground (Figure 3). The length of the tomographic profile depends on the length of the studied cuts. The entire length of the cut is studied, so as to obtain a 2D profile superimposed on the longitudinal section of the cut. Electrical resistivity tomography measurements were carried out on eleven (11) cuts from the Gagnoa-Guéyo-Bamenadou road layout.

Figure 2. Longitudinal section of a road layout.

Table 1. Characteristics of the studied excavated material.

Cut number

Beginning of section

End of section

Cut length (m)

X (m)

Y (m)

X (m)

Y (m)

1

819372.17

653598.2

819267.37

653427.86

200

2

820123.63

647817.57

820087.99

647580.38

240

3

820176.51

643673.11

820215.72

643355.52

320

4

829428.57

617722.31

829578.82

617486.03

280

5

828164.98

604894.02

828106.08

604661.36

240

6

829881.85

600865.51

829903.82

600832.09

40

7

829969.99

595988.84

829772.82

595792.83

280

8

828321.5

594363.37

828244.9

594223.02

160

9

823320.91

572986.35

823205.37

572875.67

160

10

822993.24

569688.17

823009.43

569569.56

120

11

823068.63

569421.17

823118.51

569312.03

120

Figure 3. Dipole-dipole array.

3.3. Cut Type and Volume Calculation

The approach consists of determining the bedrock profile, if any, from the tomographic profiles carried out on each cutting. Characteristic tables have been drawn up for each studied cut. These tables make it possible to determine the nature of the investigated cut (NDB) and the thickness of the material (rock or loose material), by calculating the difference between the altitude of the bedrock (ZRX) and that of the project red line (ZPr):

NDB = ZRX − ZPr. (1)

There are two possible cases:

- NDB > 0, we have a rocky cut;

- NDB < 0, we have a soft cut.

To calculate the volume, the cut section obtained is multiplied by the planned road width. The cut section is delimited by the profile of the natural terrain and the project red line. By superimposing the project’s red line and the 2D sections of the electrical resistivity tomographs, we were able to determine, where they exist, the rocky sections and calculate the volumes.

The Gagnoa-Guéyo-Baménadou axis is a two-lane road with a pavement width of 2 × 3.5 m (7 m) and shoulders of 2 × 1.5 m (3 m).

Since the total width of the road is 10 m, the volume of cut (V) can be expressed for each profile (P) or abscissa by:

V=l× L A × h i (2)

with:

l: road width (m);

LA: application length (m);

hi: Cut thickness at the profile (i) (m).

4. Results and Discussion

4.1. Cut 1 (DB 1)

Figure 4 shows a tomographic section of DB 1 located between PK 26320 and PK 26520. The section highlights the vertical and horizontal variations in geoelectric signatures observed along the cut. Indeed, depending on the variation in color scale, three electrical signatures can be identified in this 2D inverse section of DB 1. A conductive layer (blue) with resistivity ranging between 115.6 and 270 Ohm·m. An intermediate resistivity layer (green) with a resistivity between 270 and 490 Ohm·m. Finally, a reddish resistive layer with resistivities extending from 490 to 1344.5 Ohm·m.

Figure 4. 2D section between PK 26320 and PK 26520.

Moreover, an analysis of the volume measurement shows that this excavated material is not rocky, but rather entirely soft, with an estimated cumulative volume of 5980 m3 (Table 2).

Table 2. DB 1 volume calculation.

Section’s numbers

Cumulative distance

Cut thickness (m)

Thickness (m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volume (m3)

Cut cumulative volume (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

P659

26320

0.52

0

0.52

10

0

5.2

40

0

208

0

208

P660

26360

2.35

0

2.35

0

23.5

40

0

940

0

1148

P661

26400

3.8

0

3.8

0

38

40

0

1520

0

2668

P662

26440

3.77

0

3.77

0

37.7

40

0

1508

0

4176

P663

26480

2.99

0

2.99

0

29.9

40

0

1196

0

5372

P664

26520

1.52

0

1.52

0

15.2

40

0

608

0

5980

4.2. Cut 2 (DB 2)

Located between PK 32560 and PK 32800, the 240 m-long tomographic profile of DB 2 reveals three (03) geoelectric units (Figure 5). A conductive unit marked by blue coloration, with resistivity values ranging from 149.5 to 500 Ohm·m. This formation mainly forms the superficial part of the profile, although in places it lies below the project’s red line. Next to this unit is an intermediate resistivity layer (green) with resistivity values oscillating between 500 to 1150 Ohm·m. Beyond this unit, a brightly coloured signature indicates the presence of a resistive layer (red) with resistivities ranging from 1150 to 4540.4 Ohm·m. This formation is mostly found at greater depths and could therefore correspond to the basement.

Figure 5. 2D section between PK 32560 and PK 32800.

On Figure 5, the project’s red line is above the basement roof profile. The cuts therefore consist of soft rocks. It is therefore not rocky. An analysis of Table 3 shows that the cut zone has a volume of 12124 m3 of soft rock to be removed.

Table 3. DB 2 volume calculation.

Section’s numbers

Abscisse (m)

Cut thickness (m)

Thickness (m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volume (m3)

Cut cumulative volume (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

P815

32560

2.87

0

2.87

10

0

28.7

40

0

1148

0

1148

P816

32600

5.12

0

5.12

0

51.2

40

0

2048

0

3196

P817

32640

5.95

0

5.95

0

59.5

40

0

2380

0

5576

P818

32680

6.02

0

6.02

0

60.2

40

0

2408

0

7984

P819

32720

5.09

0

5.09

0

50.9

40

0

2036

0

10020

P820

32760

3.35

0

3.35

0

33.5

40

0

1340

0

11360

P821

32800

1.91

0

1.91

0

19.1

40

0

764

0

12124

4.3. Cut 3 (DB 3)

On the tomographic profile of this site (between PK 36720 and 37040), the electrical signatures can be broken down into three entities according to variations in coloration (Figure 6). Firstly, conductive formations (in blue) with resistivities ranging from 182.9 to 590 Ohm·m. These are mainly located below the project’s red line, except for a few at the beginning and end of the profile. The profile then shows the presence of intermediate layers with greenish hues and resistivities vacillating between 590 to 1480 Ohm·m. Finally, there are resistive formations with more pronounced electrical signatures (vivid colorations), with resistivities ranging from 1480 to 64754.4 Ohm·m. This resistant ensemble is superficial between PK 36720 - 36880 and more deeply rooted between PK 36880 and 37040. It is also crossed by the project’s red line along the entire length of DB 3.

Figure 6. 2D section between PK 36720 et PK 37040.

Moreover, the volume calculation analysis shows that DB 3 is made up partly of soft formations and partly of rock over most of the cut. Volume calculations give a cumulative volume of 11888 m3 of rocky cuts and 12272 m3 of soft cuts (Table 4).

Table 4. DB 3 volume calculation.

Section’s numbers

Cumulative distance

Cut thickness (m)

Thickness (m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volume (m3)

Cut cumulative volume (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

P919

36720

1.88

-

1.88

10

-

18.8

40

0

752

0

752

P920

36760

5.76

1.04

4.72

10.4

47.2

40

416

1888

416

2640

P921

36800

8.57

2.82

5.75

28.2

57.5

40

1128

2300

1544

4940

P922

36840

11.58

11.58

0

115.8

0

40

4632

0

6176

4940

P923

36880

10.83

6.93

3.9

69.3

39

40

2772

1560

8948

6500

P924

36920

9.68

4.43

5.25

44.3

52.5

40

1772

2100

10720

8600

P925

36960

7.08

2.19

4.89

21.9

48.9

40

876

1956

11596

10556

P926

37000

5.02

0.73

4.29

7.3

42.9

40

292

1716

11888

12272

4.4. Cut 4 (DB 4)

The tomographic profile of DB 4 between stations PK 66520 and PK 66800 shows two major units of differing geoelectric nature (Figure 7). A conductive unit whose coloration varies in the order of blue, characterized by resistivity ranges between 29 and 295 Ohm·m. This unit occupies almost the entire site and is located below the project’s red line. This is followed by a moderately resistant layer with greenish to yellowish hues of resistivities between 295 and 1998 Ohm·m. This represents the dominant formation of DB 4.

Figure 7. 2D section between PK 66520 and PK 66800.

Moreover, no bedrock was detected within the 30 m depth of investigation, so the studied cut is essentially soft materials.

This is also evidenced by the volume estimation analysis (Table 5). This shows that the cumulative volume of material to be removed is around 11132 m3 of the soft formation.

Table 5. DB 4 volume calculation.

Section’s numbers

Cumulative distance

Cut thickness (m)

Thickness (m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volum (m3)

Cut cumulative volum (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

P1664

65520

0.51

0

0.51

10

0

5.1

40

0

204

0

204

P1665

65560

2.62

0

2.62

0

26.2

40

0

1048

0

1252

P1666

65600

3.41

0

3.41

0

34.1

40

0

1364

0

2616

P1667

65640

4.64

0

4.64

0

46.4

40

0

1856

0

4472

P1668

65680

5.25

0

5.25

0

52.5

40

0

2100

0

6572

P1669

65720

5

0

5

0

50

40

0

2000

0

8572

P1670

65760

3.85

0

3.85

0

38.5

40

0

1540

0

10112

P1671

65800

2.55

0

2.55

0

25.5

40

0

1020

0

11132

4.5. Cut 5 (DB 5)

Analysis of the tomographic profile of this study section between PK 80840 and PK 81080 shows three major geoelectric signatures from surface to depth (Figure 8). Firstly, a conductive unit marked by a blue hue, with resistivities varying from 95 to 410 Ohm·m. This unit mainly occupies the superficial part of this study section and lies mostly above the project’s red line. Secondly, an intermediate layer with a greenish signature and resistivities ranging from 410 to 1100 Ohm·m marks the transition from superficial formations to deeper units. Finally, a resistive entity with reddish staining, with resistivity between 1100 and 5991.6 Ohm·m represents the deepest formations. The upper part of this formation is in places above the project’s red line, indicating the presence of rocky materials.

Figure 8. 2D section between PK 80840 and PK 81080.

The bedrock roof levels show that DB 5 is both soft and rocky formations throughout the section, with a cumulative volume of 15156 m3 of soft material and 2966 m3 of rocky material (Table 6).

Table 6. DB 5 volume calculation.

Section’s numbers

Cumulative distance

Cut thickness (m)

Thickness (m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volume (m3)

Cut cumulative volume (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

P2022

80850

6.47

0

6.47

10

0

64.7

40

0

2588

0

2588

P2023

80880

10.09

4.89

5.2

48.9

52

40

2445

2080

2445

4668

P2024

80900

10.78

0

10.78

0

107.8

40

0

4312

2445

8980

P2025

80955

9.88

-

9.88

0

98.8

40

0

3952

2445

12932

P2026

80960

6.12

5.21

0.91

52.1

9.1

40

521

364

2966

13296

P2027

80990

3.71

0

3.71

0

37.1

40

0

1484

2966

14780

P2028

81040

0.94

-

0.94

-

9.4

40

0

376

2966

15156

4.6. Cut 6 to Cut 11

The same approach was applied to all other cut sections (DB 6 to DB 11). Analysis of the tomographic profiles of these different cuts also revealed these three geoelectric signatures. Conductive units with lowest resistivity values ranging from 37 to 217 Ohm·m (shades in the order of blue) (Figure 9). In most cases, these units occupy the profiles’ superficial parts, intersecting by the project’s red line. Alongside them are intermediate resistivity units (300 - 1000 Ohm·m) with greenish hues (Figure 9). Finally, there are resistive units with high resistivity values (>1000 Ohm·m) and reddish signatures. In most cases, these are rooted and lie below the project’s red line, except at DB 7.

By analyzing variations in bedrock and the project’s red line, different types of cuts were observed throughout the project (Table 7). Soft cuts are the most widespread along the profiles, with a cumulative volume ranging from 88 to 19897 m3. These volume studies show that DB 7 contains the most soft material to be excavated, while the site with the least soft material to be removed is DB 6.

Figure 9. DB 6 to DB 11 2D sections.

Table 7. Volume calculation from DB 6 to DB 11.

Cut

Cumulative distance (m)

Cut thickness (m)

Thickness

(m)

Road’s width (m)

Cut surface (m2)

Length (m)

Cut partial volume (m3)

Cut cumulative volume (m3)

ZTn-ZPr

Rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

rock ground

soft ground

DB6

85520

0.01

0

0.01

10

0

0.1

40

0

4

0

4

85560

0.21

0

0.21

0

2.1

40

0

84

0

88

DB7

90720

3.24

0

3.24

0

32.4

40

0

1296

0

1296

90760

5.88

0

5.88

0

58.8

40

0

2352

0

3648

90800

7.82

1.08

6.74

10.8

67.4

25

270

1685

270

5333

90840

8.86

0

8.86

0

88.6

40

0

3544

0

8877

90880

9.67

0

9.67

0

96.7

40

0

3868

0

12745

90920

9.82

0

9.82

0

98.2

40

0

3928

0

16673

90960

8.06

0

8.06

0

80.6

40

0

3224

270

19897

DB8

93120

1.26

0

1.26

0

12.6

40

0

504

0

504

93160

2.24

0

2.24

0

22.4

40

0

896

0

1400

93190

3

0

3

0

30

40

0

1200

0

2600

93195

1.88

1.88

0

100

0

20

1000

0

1000

2600

93200

2

0

2

0

20

40

0

800

1000

3400

93240

1.39

0

1.39

0

13.9

40

0

556

1000

3956

93280

0.73

0

0.73

0

7.3

40

0

292

1000

4248

DB9

116840

2.73

0

2.73

0

27.3

40

0

1092

0

1092

116880

3.28

0

3.28

0

32.8

40

0

1312

0

2404

116920

3.23

0

3.23

0

32.3

40

0

1292

0

2384

116960

2.17

0

2.17

0

21.7

40

0

868

0

1272

117000

1.01

0

1.01

0

10.1

40

0

404

0

1676

DB10

120640

1.06

0

1.06

0

10.6

40

0

424

0

424

120680

1.95

0

1.95

0

19.5

40

0

780

0

1204

120720

1.39

0

1.39

0

13.9

40

0

556

0

1760

120760

0.23

0

0.23

0

2.3

40

0

92

0

1852

DB11

120920

0.19

0

0.19

0

1.9

40

0

76

0

76

120960

0.44

0

0.44

0

4.4

40

0

176

0

252

121000

0.77

0

0.77

0

7.7

40

0

308

0

560

121040

0.7

0

0.7

0

7

40

0

280

0

840

Total

1270

31893

As for rocky cuts, they were mainly found at DB 7 and DB 8, with a cumulative volume of 270 m3 and 1000 m3, respectively (Table 7).

4.7. Discussion

The electrical tomography profiles carried out on each cut to determine the profile of the bedrock roof, if any, have shown in this study that the subsoil of this road project comprises three main horizons of differing geoelctric nature. By correlating these entities with the geology of the region in particular, and that of Côte d’Ivoire in general, the low-resistivity units correspond to the lateritic cuirass that forms a superficial overlay on the surface. Because of their ferromagnesium content, these formations, which result from weathering processes, are conductive and therefore of low resistivity. Medium resistivity units are associated with alterites and the fractured fringe of the bedrock. Lastly, the resistive units beneath the surface coverings and alterites correspond to the granitic basement.

This lithological layout has been described in numerous studies carried out in Côte d’Ivoire. Indeed, research by Sombo et al. (2017) in several localities in the Ivorian basement domain has shown that in the crystalline basement zone, a lithological alteration profile includes lateritic cuirass, clayey-sandy alterites and a fractured fringe of the basement.

Also, in all the tomographic profiles, the granitic basement appears in the first 30 meters of depth on the Gagnoa-Gueyo-Baménadou axis. This corroborates the results of the simplified geological map of Côte d’Ivoire, which shows a predominantly granitoid geology (Figure 1(b)). Thus, this work shows that electrical resistivity is a key parameter for lithostratigraphic differentiation of subsoil formations in geotechnical work, as attested by the work of Akingboye et al. (2020), Maślakowski et al. (2014) and Fadele et al. (2013).

In the same vein, the use of 2D and 3D electrical tomography enabled Ayolabi et al. (2012) to solve geotechnical problems in the Gbagada province of Lagos, Nigeria. They were able to highlight different subsoil units based on variations in resistivity. Low resistivity sets are associated with wet formations, while high resistivity values are associated with dry formations. Similar results were found by Akingboye et al. (2020) and Fadele et al. (2013). In fact, the results of these authors showed that healthy bedrock had the highest resistivity, while medium and low resistivities were associated with the fractured part of the bedrock and superficial formations respectively.

In addition, the surface area and volume of soft or rocky cuts were calculated based on the rock top altitudes of each profile. The method used to calculate the volume of material takes into account the length of application of each profile (40 m in our case) and the width of the planned road (10 m in our case), as well as the thickness of soft or rocky cuts. The latter is determined every 40 m to ensure better superposition between the tomographic profile (10 m step) and the longitudinal section of the road (40 m step). This large discrepancy may result in the loss of some information about the bedrock profile. A tighter measurement interval for the longitudinal profile of the road may enable a better assessment of the cumulative volume. A study of the cuts using electrical tomography has enabled us to distinguish between rocky and soft nature of each cut along the road. The computer programs most often used, such as those presented by Bere (1989) for calculating earthworks on rural roads, do not distinguish between soft and rocky volumes. The use of electrical resistivity tomography coupled with the longitudinal section of the alignment, as demonstrated in this study, can therefore help to better establish a preliminary design, and finally to make the right provisions for the alignment of road sections.

5. Conclusion

Electrical resistivity tomography was used to study the cuts on the Gagnoa-Gueyo-Bamenadou road. Interpretation of the tomographic profiles revealed three geological layers corresponding successively to a conductive surface cover, then more or less conductive units of varying thickness, and finally a very heterogeneous, highly resistive bedrock. Subsequently, the nature and volume of the material in each cut were revealed. In total, a cumulative volume of 88557 m3 of soft cuts and 16124 m3 of rock cuts are included in the project cost plan. The majority of the road is therefore made up of soft cuts.

Electrical resistivity tomography, combined with the longitudinal section of the road, can therefore be an effective means of characterizing cuts in a preliminary design study, so that the right provisions can be made for road layout.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] Akingboye, A. S., Osazuwa, I. B., & Mohammed, M. Z. (2020). Electrical Resistivity Tomography for Geo-Engineering Investigation of Subsurface Defects: A Case Study of Etioro-Akoko Highway, Ondo State, Southwestern Nigeria. Studia Quaternaria, 37, 101-107.
https://doi.org/10.24425/sq.2020.133754
[2] Akpan, U., & Morimoto, R. (2022). An Application of Multi-Attribute Utility Theory (MAUT) to the Prioritization of Rural Roads to Improve Rural Accessibility in Nigeria. Socio-Economic Planning Sciences, 82, Article 101256.
https://doi.org/10.1016/j.seps.2022.101256
[3] Alam, M. J. B., Ahmed, A., & Alam, M. Z. (2024). Application of Electrical Resistivity Tomography in Geotechnical and Geoenvironmental Engineering Aspect. Geotechnics, 4, 399-414.
https://doi.org/10.3390/geotechnics4020022
[4] Ayolabi, E. A., Enoh, I. J. E., & Folorunso, A. F. (2012). Engineering Site Characterisation Using 2-D and 3-D Electrical Resistivity Tomography. Earth Science Research, 2, 133-142.
https://doi.org/10.5539/esr.v2n1p133
[5] Bere, A. (1989). Contribution aux calculs de terrassement en voirie rurale, mise en œuvre de programmes de calculs. Mémoire de fin d’études, Ecole inter-états d’ingénieurs de l’équipement rural Ouagadougou, Burkina-Faso, 37 p.
http://documentation.2ie-edu.org/cdi2ie/opac_css/doc_num.php?explnum_id=1576
[6] CICG (2019). Pistes rurales, routes et ponts en Côte d’Ivoire: La si longue attente… jusqu’à l’arrivée du Président Alassane Ouattara.
https://www.gouv.ci/impact-developpement/accueil/edito_detail/pistes-rurales-routes-et-ponts-en-cote-d-ivoire-la-si-longue-attente-jusqu-a-l-arrivee-du-president-alassane-ouattara417/8
[7] Fadele, S. I., Jatau, B. S., & Goki, N. G. (2013). Subsurface Structural Characterization of Filatan Area A, Zaria–Kano Road, Using the 2D Electrical Resistivity Tomography. Journal of Earth Sciences and Geotechnical Engineering, 3, 73-83.
[8] Gibson, J., & Olivia, S. (2010). The Effect of Infrastructure Access and Quality on Non-Farm Enterprises in Rural Indonesia. World Development, 38, 717-726.
https://doi.org/10.1016/j.worlddev.2009.11.010
[9] Lykova, О. (2021). The Road Infrastructure Development Impact on the Economy of the Region. E3S Web of Conferences, 281, Article 08012.
https://doi.org/10.1051/e3sconf/202128108012
[10] Maślakowski, M., Kowalczyk, S., Mieszkowski, R., & Józefiak, K. (2014). Using Electrical Resistivity Tomography (ERT) as a Tool in Geotechnical Investigation of the Substrate of a Highway. Studia Quaternaria, 31, 83-89.
https://doi.org/10.2478/squa-2014-0008
[11] Milesi, J. P., Feybesse, J. L., Ledru, P., Dommanget, A., Ouedraogo, M. F., Marcoux, E., Prost A. E., Vinchon, C., Sylvain, J. P., Johan, V., Tegyey, M., Calvez, J. Y. & Lagny, P. (1989). Les Minéralisations Aurifères de L’Afrique de L’Ouest: Leurs Relations Avec L'évolution Lithostructurale Au Protérozoïque Inférieur. Chronique de la Recherche Minière, 497, 3-98.
https://www.scirp.org/reference/referencespapers?referenceid=2972809
[12] Nawir, D., Bakri, M. D., & Syarif, I. A. (2023). Central Government Role in Road Infrastructure Development and Economic Growth in the Form of Future Study: The Case of Indonesia. City, Territory and Architecture, 10, Article No. 12.
https://doi.org/10.1186/s40410-022-00188-9
[13] Papon, A. (1973). Géologie et minéralisations du Sud-ouest de la Côte d’Ivoire. Mémoire BRGM, France, 284 p.
[14] PEMED-CI (2015). Etudes monographiques et économiques des districts de Côte d’Ivoire: District du Gôh-Djiboua.
https://fr.scribd.com/document/639913973/PEMEDCI-GOH-DJIBOUA-2
[15] Robson, E., Agosti, A., Utili, S., & Milledge, D. (2022). A Methodology for Road Cutting Design Guidelines Based on Field Observations. Engineering Geology, 307, Article 106771.
https://doi.org/10.1016/j.enggeo.2022.106771
[16] Solodkiy, A., & Gorev, A. (2018). Determination of Basic Factors for the Successful Implementation of the Safe and High-Quality Roads Project. Transportation Research Procedia, 36, 741-746.
https://doi.org/10.1016/j.trpro.2018.12.097
[17] Sombo, A. P., Kouakou, K. E. G., Kouassi, F. W., Koudou, A., & Bie, G. R. (2017). Profil d’altération et potentiel aquifère en zone de socle cristallin au Sud de la Côte d’Ivoire. International Journal of Innovation and Applied Studies, 19, 919-928.
[18] Whiteley, J., Inauen, C., Wilkinson, P., Meldrum, P., Swift, R., Kuras, O. et al. (2023). Assessing the Risk of Slope Failure to Highway Infrastructure Using Automated Time-Lapse Electrical Resistivity Tomography Monitoring. Transportation Geotechnics, 43, Article 101129.
https://doi.org/10.1016/j.trgeo.2023.101129

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.