Spatial distribution of soil erosion and sediment yield in the Pra River Basin

Boakye, Ebenezer; Anyemedu, F. O. K.; Donkor, Emmanuel A.; Quaye‐Ballard, Jonathan Arthur

doi:10.1007/s42452-020-2129-1

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…Soil erosion is a global environmental problem that affects the provisioning and regulation of various ecosystem services (Bezabih et al 2016;Borrelli et al 2017;Hassen and Assen 2018;Aneseyee et al 2020b). It is explained as the detachment, transportation, and deposition of soil materials by water, wind, ice, or gravity (Aksoy and Kavvas 2005;Panagos et al 2015;Boakye et al 2020). It is determined by factors such as Land Use Land Cover (LULC) changes, slope length and steepness, climate change, and soil properties (Gelagay and Minale, 2016;Lafforgue 2016).…”

Section: Introductionmentioning

confidence: 99%

Environmental implications of soil erosion and sediment yield in Lake Hawassa watershed, south-central Ethiopia

2021

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Background Assessing soil erosion, sediment yield and sediment retention capacity of watersheds is one of the under-researched areas in watersheds of developing countries like Lake Hawassa watershed. The study examined soil erosion and sediment yield and their environmental implications in the Lake Hawassa watershed. The quantification and mapping were carried out using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Data such as Land Use Land Cover (LULC), Digital Elevation Model (DEM), rainfall, soil, and management practice were used as input parameters. Results The empirical analysis confirmed that the watershed has a total soil loss of about 5.27 Mt annually. The mean annual erosion rate from the watershed was estimated to be 37 t ha−1 year−1. The estimated erosion rate was greater than the maximum tolerable erosion limit in Ethiopia (2–18 t ha−1 year−1). The total amount of sediment which was exported to the nearby streams and lakes in the watershed was estimated to be 1.6 t ha−1 year−1. The water bodies receive a total of 226,690.3 t of sediment annually. Although higher soil loss and sediment export per unit of area were estimated from the highest slope gradients, greater contributions to the total soil loss and sediment export were computed from slopes with 5–30% gradients. In terms of LULC, the highest contribution to the total soil loss was computed from cultivated land while the highest rate of soil loss per hectare was observed from bare land. Due to the existing vegetative cover, a total of 18.65 Mt (130.7 t ha−1 year−1) of sediment was retained. Vegetation-covered LULCs such as forest, woodland, shrubland, and agroforestry revealed the highest sediment retention capacity. As a result of the increased soil erosion and sediment yield in the watershed, the drying-out of a small lake and the rise in the water level of Lake Hawassa were identified. Conclusion Most of the soil loss and sediment yield were contributed by a small part of the watershed. Thus, the results underscore the urgent need for targeted soil and water conservation measures of various types to ensure the sustainability of the watershed resources.

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Section: Introductionmentioning

confidence: 99%

Environmental implications of soil erosion and sediment yield in Lake Hawassa watershed, south-central Ethiopia

2021

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“…It significantly impairs the land productivity and results in loss of farm income and food insecurity by degrading the nutrient-rich topsoil cover of the land in many countries (Tamene et al 2017;Belayneh et al 2018;Miheretu and Yimer 2018). It also causes diverse socioeconomic and environmental loss due to the deposition of the eroded sediments into its downstream receiving water bodies, infrastructures, and agricultural fields (Belayneh et al 2018;Boakye et al 2020;Chinnasamy and Sood 2020). For example, excessive deposition of sediments in the water bodies can accelerate the loss of aquatic diversity, dwindling of water quality, and water storage capacity Responsible editor: Lu Zhang and thereby resulting in shortening of their design lifespan and increases management costs (Gelagay and Minale 2016;Duru et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

et al. 2021

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Purpose Understanding the spatial dynamics of soil loss (SL) and sediment yield (SY) from ungauged watersheds would have a profound importance to devise informed land resource and flood management strategies. Such information particularly substantial for rivers like Koshi, that typically causing severe land degradation and frequent devastating flood risks to large number of inhabitants in the basin. This study aimed to estimate the spatial heterogeneity of mean annual SL and SY in Triyuga river watershed (TRW) and delivers into Sapta-Koshi. Materials and methodsThe Revised Universal Soil Loss Equation (RUSLE) and Slope-based Sediment Delivery Ratio (SDR) models along with Geographic Information System (GIS) and remote sensing techniques were applied. Results and discussionThe mean SL and SY were found to be 31 and 3.04 t/ha/year, respectively. Accordingly, an estimated 2.2 × 10 5 tons of sediment was delivered into the Sapta-Koshi river annually. In this watershed, nearly 62% of the area is under the category of high to very severe soil loss rate (SLR), which together accounted for 96% of the total SL in the TRW. The critical SLR was mostly distributed along the northern escarpment of the study area. Most of the sloping areas in the northwestern and some patches of the northeastern tip regions that accompany with slope class > 26.8% are particularly vulnerable to severe SL and SY in the TRW. In this regard, the RUSLE LS factor has played the significant (r = 0.88, p < 0.001) impact over other RUSLE factors. Conclusion High elevation and steep slope class in the northwestern and northeastern parts of the watershed are the major SL and SY hotspot sites that require special attention and priority for conservation interventions in the TRW.

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“…Xiao et al (2017) [ 41 ] studied the effect of human interference on soil nutrient content, and the results showed that the extent of soil nutrient content affected by human activities gradually decreased with the increase of soil depth, while human activities such as grazing and reclamation significantly reduced soil surface nutrient content. At the same time, fertilizer content also directly affects the content of soil nutrients, which makes the spatial variation of soil nutrients produce bigger change [ 42 ]. The degree of interference of human activities on soil nutrient distribution cannot be ignored and should take this factor into consideration in the future analysis, which establishes a more scientific and perfect the index system.…”

Section: Discussionmentioning

confidence: 99%

Spatial variability of soil nutrients in seasonal rivers: A case study from the Guo River Basin, China

Xin-hui

Qin

2021

PLoS ONE

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Agricultural non-point source pollution refers that substance such as nitrogen and phosphorus cause water environment pollution through surface runoff and underground leakage in agricultural production activities. Water environment pollution related to agricultural non-point source pollution in the Huaihe River Basin is becoming more and more prominent. Therefore, it is necessary to analyze the characteristic of soil nutrient in cultivated land and explore the spatial variation and influencing factors of soil nutrients at the watershed scale. A total of 239 topsoil samples were collected from the Guo river basin, and the related factors of soil organic matter (SOM), total carbon (TC), total nitrogen (TN), total phosphorous (TP), total potassium (TK) and potential of hydrogen (PH) were studied by using descriptive statistics and geostatistical methods. The results showed that TK and PH were weak variation, while SOM, TC, TN and TP were medium variation. Soil pH, TP, TK, TC and SOM had moderate spatial variability, which was caused by both random factors and structural factors such as soil texture, soil type, fertilization and local ecological restoration management. Soil TN showed a strong spatial correlation, mainly due to soil texture and soil type. If the recommended fertilization amount is still given based on the average value of soil nutrients ignoring the spatial heterogeneity, it will not only affect crop production efficiency and fertilizer utilization, but may also cause greater environmental pollution. This study can provide a theoretical basis for the management of agro-ecological environments throughout the basin area.

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Spatial distribution of soil erosion and sediment yield in the Pra River Basin

Cited by 14 publications

References 35 publications

Environmental implications of soil erosion and sediment yield in Lake Hawassa watershed, south-central Ethiopia

Environmental implications of soil erosion and sediment yield in Lake Hawassa watershed, south-central Ethiopia

Spatial distribution of soil erosion and sediment yield in the Koshi River Basin, Nepal: a case study of Triyuga watershed

Spatial variability of soil nutrients in seasonal rivers: A case study from the Guo River Basin, China

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