Rainfall erosivity index for the Ghana Atomic Energy Commission site

Essel, Paul; Glover, E. T.; Yeboah, Serwaa; Adjei-Kyereme, Yaw; Yawo, Israel Nutifafa Doyi; Nyarku, Mawutoli; Asumadu-Sakyi, Godfred S.; Gbeddy, Gustav; Agyiri, Yvette Agyiriba; Ameho, Evans M.; Aberikae, Emmanuel A.

doi:10.1186/s40064-016-2100-1

Cited by 12 publications

(14 citation statements)

References 2 publications

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“…61] who posited that when working with data simplified using models, average conditions This showed a low rainfall erosivity according to [Essel, 2016] who had done similar work in part of the study area and classified the annual rainfall erosivity values less than 60 mm as very low, 60-90 as low, 90-120 as moderate, and 120-160 as high. In that work, the highest range, i.e.…”

Section: Resultsmentioning

confidence: 99%

“…Rainfall erosivity factor (R): Rainfall erosivity is the erosive force of rainfall [Essel, 2016] and is defined as the aggressiveness of rainfall to induce erosion of soils [Sholagberu, 2016]. This factor is of paramount importance in its effect on soil erosion due to the ability of rain to dissolve, loosen, or wear away soil by the force of raindrops or runoff [Essel, 2016;Okorafor, 2017;Sholagberu, 2016].…”

Section: Methodsmentioning

confidence: 99%

“…This factor is of paramount importance in its effect on soil erosion due to the ability of rain to dissolve, loosen, or wear away soil by the force of raindrops or runoff [Essel, 2016;Okorafor, 2017;Sholagberu, 2016]. It is thus used to quantify the effect of raindrop and induced runoff on bare soil [Efthimiou, 2014].…”

Section: Methodsmentioning

confidence: 99%

“…It was calculated using the daily rainfall values summarized as monthly and annual rainfall based on similar approaches used or reported by [Efthimiou, 2014;Okorafor, 2017;Rahaman, 2015;Sholagberu, 2016;Ufoegbune, 2011]. A rainfall erosivity index was calculated from the summaries using the modified Fournier index [Essel, 2016] and the resulting values were used to prepare a map. The preparation of the map involved the following:…”

Section: Methodsmentioning

confidence: 99%

“…where: Pi is the monthly rainfall amount for the ith month (mm) and P is the annual rainfall mount (mm) [Essel, 2016].…”

Section: Methodsmentioning

confidence: 99%

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Assessing the Threat of Erosion to Nature-Based Interventions for Stormwater Management and Flood Control in the Greater Accra Metropolitan Area, Ghana

Asiedu¹

2018

J. Ecol. Eng.

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Perennial flooding has become a major feature in urban areas in developing economies generating research interest towards finding alternative approaches to stormwater management which could complement the existing systems and help address the challenge of flooding. One of such alternative approaches is nature-based stormwater management and flood control, the implementation of which could be affected by soil erosion. This paper, as part of a wider research, was developed to determine the extent of the threat of soil erosion to stormwater management in an urban area on the example of Greater Accra Metropolitan Area, Accra Ghana as the focus of the research. Landsat 8 images (2014) were used in the research to prepare the Landcover maps. Daily rainfall data from 6 raingauge stations from 1972 to 2014 were utilized to prepare the rainfall erosivity factor maps, whereas DEM was used to prepare the slope and slope length (SL) factor maps. The land cover map with an overall accuracy of 73.6 and Kappa 0.7122 was combined with literature sources to prepare the vegetative cover factor map, and conservation practice factor map. A soil series map, prepared and updated with literature sources and data from the Harmonized World Soil Database on physical parameters, was used to calculate the soil erodibility factor (K factor) for each soil series. These were integrated into RUSLE model as 30 m raster maps to generate a soil loss map at tons/ha/yr. The results produced rainfall erosivity index values based on the modified Fournier index ranging between 0.058 and 23.197 which is classified as low. Low soil erodibility factor (K) ranging between 2.9×10 -5 and 8.5×10 -2 t ha/MJ mm indicated low susceptibility to erosion, SL factor value showing areas of low to almost flat relief with a few isolated areas of moderate slope length were generated. A soil loss of 69,5918 tons/ha/yr classified the soils as having high potential soil loss. The results showed a very low soil loss threat of 0-5.1853 tons/Ha/yr for more than 90% of the study area. Targeted intervention for source areas with high potential soil loss will contain any threat of erosion and sediment yield to the implementation of an infiltration-based stormwater management and flood control system.

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Section: Resultsmentioning

confidence: 99%