An Assessment of Gully Erosion in Gombe Town, Gombe State, Nigeria

Mbaya, Lazarus Abore; Ayuba, Haruna Kuje; Abdullahi, John

doi:10.5539/jgg.v4n3p110

“…There is a dominance of sand in all classes, which could be attributed to the high erodibility since sand has no cohesion. This finding is in agreement with Mbaya et al (2012) who stated that the dominance of the sand portion in Nigeria savanna soils has accelerated the occurrence of gully erosion. The high sand content of the soil also indicates that infiltration and percolation are high, thereby bringing about a piping phenomenon and ceiling collapse caused by subsurface flow, this is also in sync with the outcome of work done by Mbaya et al (2012).…”

Section: Interpretation Of Frequency Ratio Values For Each Factor Classsupporting

confidence: 92%

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

Igwe

¹

,

Ugwuoke

²

,

Solomon

³

et al. 2020

Geoenviron Disasters

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Gully erosion is a major environmental problem in Gombe town, a large area of land is becoming unsuitable for human settlement, hence the need for a gully erosion susceptibility map of the study area. To generate a gully inventory map, a detailed field exercise was carried out, during this investigation one hundred gullies were identified and studied extensively within the study area of about 550 km2. In addition to the mapped gullies, Google EarthPro with high-resolution imagery was used to locate the spatial extents of fifty (50) more gullies. Ten gully erosion predisposing factors were carefully selected considering the information obtained from literature, and multiple field survey of the study area, the factors include elevation, slope angle, curvature, aspect, topographic wetness index (TWI), soil texture, geology, drainage buffer, road buffer and landuse. In this study, a GIS-based Frequency Ratio (FR) and Analytical Hierarchy Process (AHP) models were employed to predict areas prone to gully erosion in Gombe town and environs. The result obtained from FR shows that drainage, soil texture, and slope have the highest correlation with gully occurrence, while the AHP model revealed that drainage buffer, soil texture, geology have a high correlation with the formation of a gully. Gully erosion susceptibility maps (GESM) were produced and reclassified into very high, high, moderate, and low zones. The overall accuracies of both models were tested utilizing area under the curve (AUC) values and gully density distribution.FR and AHP model have AUC values of 0.73 and 0.72 respectively, the outcome indicates that both models have high prediction accuracy. The gully erosion density distribution values revealed that gullies are concentrated in the very high susceptibility class and it decreases towards the low class, therefore the GESM produced using these models in this study area is reliable and can be used for land management and future planning.

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“…There is a dominance of sand in all classes, which could be attributed to the high erodibility since sand has no cohesion. This finding is in agreement with (Mbaya 2012) who stated that the dominance of sand portion in Nigeria savanna soils has accelerated the occurrence of gully erosion. The high sand content of the soil also indicates that infiltration and percolation are high, thereby bringing about a piping phenomenon and ceiling collapse caused by subsurface flow, this is also in sync with the outcome of work done by (Mbaya 2012).…”

Section: Interpretation Of Frequency Ratio Values For Each Factor Classsupporting

confidence: 92%

“…This finding is in agreement with (Mbaya 2012) who stated that the dominance of sand portion in Nigeria savanna soils has accelerated the occurrence of gully erosion. The high sand content of the soil also indicates that infiltration and percolation are high, thereby bringing about a piping phenomenon and ceiling collapse caused by subsurface flow, this is also in sync with the outcome of work done by (Mbaya 2012). The presence of clay in the soil may have contributed to the formation of a gully since clay exhibits shrink and swell characteristics, this could result in the formation of cracks during the alternating warm and dry seasons.…”

Section: Interpretation Of Frequency Ratio Values For Each Factor Classsupporting

confidence: 92%

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

Igwe

¹

,

Ugwuoke

²

,

Solomon

³

et al. 2020

Preprint

0

View full text Add to dashboard Cite

Gully erosion is a major environmental problem in Gombe town, a large area of land is becoming unsuitable for human settlement, hence the need for gully erosion susceptibility map of the study area. To generate a gully inventory map, detailed field exercise was carried out, during this investigation one hundred gullies were identified and studied extensively within the study area of about 550 km2. In addition to the mapped gullies, Google EarthPro with high-resolution imagery was used to locate the spatial extents of fifty (50) more gullies. Ten gully erosion predisposing factors were carefully selected considering the information obtained from literature, and multiple field survey of the study area, the factors include elevation, slope angle, curvature, aspect, topographic wetness index (TWI), soil texture, geology, drainage buffer, road buffer and landuse. In this study, a GIS-based Frequency Ratio (FR) and Analytical Hierarchy Process (AHP) models were employed to predict areas prone to gully erosion in Gombe town and environs. The result obtained from FR shows that drainage, soil texture, and slope have the highest correlation with gully occurrence, while the AHP model revealed that drainage buffer, soil texture, geology have a high correlation with the formation of a gully. Gully erosion susceptibility maps (GESM) were produced and reclassified into very high, high, moderate, and low zones. The overall accuracies of both models were tested utilizing area under the curve (AUC) values and gully density distribution. FR and AHP model have AUC values of 0.73 and 0.72 respectively, the outcome indicates that both models have high prediction accuracy. The gully erosion density distribution values revealed that gullies are concentrated in the very high susceptibility class and it decreases towards the low class, Therefore the GESM produced using these models in this study area is reliable and can be used for land management and future planning

show abstract

“…This nding is in agreement with Mbaya (2012) who stated that the dominance of the sand portion in Nigeria savanna soils has accelerated the occurrence of gully erosion. The high sand content of the soil also indicates that in ltration and percolation are high, thereby bringing about a piping phenomenon and ceiling collapse caused by subsurface ow, this is also in sync with the outcome of work done by Mbaya (2012). The presence of clay in the soil may have contributed to the formation of a gully since clay exhibits shrink and swell characteristics, this could result in the formation of cracks during the alternating warm and dry seasons.…”

Section: Interpretation Of Frequency Ratio Values For Each Factor Classmentioning

confidence: 94%

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

Igwe

¹

,

Ugwuoke

²

,

Solomon

³

et al. 2020

Preprint

0

View full text Add to dashboard Cite

Gully erosion is a major environmental problem in Gombe town, a large area of land is becoming unsuitable for human settlement, hence the need for a gully erosion susceptibility map of the study area. To generate a gully inventory map, a detailed field exercise was carried out, during this investigation one hundred gullies were identified and studied extensively within the study area of about 550 km2. In addition to the mapped gullies, Google EarthPro with high-resolution imagery was used to locate the spatial extents of fifty (50) more gullies. Ten gully erosion predisposing factors were carefully selected considering the information obtained from literature, and multiple field survey of the study area, the factors include elevation, slope angle, curvature, aspect, topographic wetness index (TWI), soil texture, geology, drainage buffer, road buffer and landuse. In this study, a GIS-based Frequency Ratio (FR) and Analytical Hierarchy Process (AHP) models were employed to predict areas prone to gully erosion in Gombe town and environs. The result obtained from FR shows that drainage, soil texture, and slope have the highest correlation with gully occurrence, while the AHP model revealed that drainage buffer, soil texture, geology have a high correlation with the formation of a gully. Gully erosion susceptibility maps (GESM) were produced and reclassified into very high, high, moderate, and low zones. The overall accuracies of both models were tested utilizing area under the curve (AUC) values and gully density distribution.FR and AHP model have AUC values of 0.73 and 0.72 respectively, the outcome indicates that both models have high prediction accuracy. The gully erosion density distribution values revealed that gullies are concentrated in the very high susceptibility class and it decreases towards the low class, therefore the GESM produced using these models in this study area is reliable and can be used for land management and future planning.

show abstract

An Assessment of Gully Erosion in Gombe Town, Gombe State, Nigeria

Cited by 17 publications

References 7 publications

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria

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