Soil Erosion Risk Assessment due to Land Use/Cover Changes (LUCC) in Bulgaria from 1990 to 2015

Özşahin, Emre; Eroğlu, İlker

doi:10.28955/alinterizbd.444193

Cited by 11 publications

(10 citation statements)

References 32 publications

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“…The C-factor refers to cropping and crop management practices' effect on soil erosion rate in agricultural lands (Wischmeier and Smith 1978;Renard et al 1997). It might be the most important factor to predict the past, actual, and future soil erosion severity because of its dynamism in short term (Alkharabsheh et al 2013;Yang 2014;Kavian et al 2017;Gashaw et al 2019;€ Ozşahin and Ero glu 2019;Phinzi and Ngetar 2019). The C-factor is dimensionless and ranges from near 0 (well protected) to 1 (barren soils before plants grow).…”

Section: Estimation Of the Erodibility (K-factor)mentioning

confidence: 99%

“…However, during the period under investigation, the other factors were kept constant and only the C-factor were changed in time due to the change in LULC, i.e. the spatiotemporal variation of the soil erosion was hence attributed to the C-factor which varied as the LULC changed in space and time (Balabathina et al 2019;€ Ozşahin and Ero glu 2019). As a result, the soil erosion rate moved from 14.7 t ha À1 yr À1 , 28.3 t ha À1 yr À1 , and 34.0 t ha À1 yr À1 to 34.7 t ha À1 yr À1 from 1990, 2000, and 2010 to 2019, respectively. The same ranges were recently noticed in comparative studies.…”

Section: Impact Of Lulc Change On Soil Erosion and Sediment Yieldmentioning

confidence: 99%

“…Several studies indicated a strong correlation between soil erosion severity and LULC change (Kavian et al 2017;Gashaw et al 2019;€ Ozşahin and Ero glu 2019). The authors concluded that LULC change is an important component to predict the past, actual, and future erosion at different spatial scales (Alkharabsheh et al 2013;Esa et al 2018;Thomas et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019

Kulimushi

Maniragaba

Choudhari

et al. 2021

Geomatics, Natural Hazards and Risk

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Land use/land cover (LULC) change is an important measure to monitor the land degradation. This study focused on the Sebeya watershed located in the western province of Rwanda to evaluate the soil erosion and sediment yield spatio-temporal pattern from 1990 to 2019 occurred due to LULC change. Multi-temporal LULC maps of 1990-2019 and RUSLE model were used to achieve the objectives. The sediment yield was computed as a product of sediment delivery ratio (SDR) and the gross soil erosion. From the period 1990-2019, each year forestland decreased by 2.6%/yr, whereas the grassland, cropland, and settlement increased by 23.6%/yr, 14.5%/yr, and 81.6%/yr respectively. As a result, the mean soil erosion for 1990, 2000, 2010, and 2019 was 14.7, 28.3, 34, and 34.7 t ha À1 yr À1 whereas the total sediment yield was 3254.15, 5029.8, 6814.56, and 9074.04 t yr À1 respectively. Cropland was an exception to the other LULC classes because it has generated soil erosion in very high severity > 50 t ha À1 yr À1 , while this severity class showed an upward trend. The study demonstrated that LULC change has a significant impact on soil erosion and sediment yield and suggests proper land-use planning and encourages afforestation to arrest soil loss.

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Section: Estimation Of the Erodibility (K-factor)mentioning

confidence: 99%

Section: Impact Of Lulc Change On Soil Erosion and Sediment Yieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019

Kulimushi

Maniragaba

Choudhari

et al. 2021

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

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“…This is in accordance with the characteristics of the Dolago watershed where the upstream area has a steep to very steep slope class. Slope length and steepness (LS) determines the dimensions and severity of erosion in land use or land cover [Özşahin and Eroğlu, 2019]. Soil loss can increase due to a combination of slope length and steepness in a land unit.…”

Section: Slope Length and Steepness (Ls) Factormentioning

confidence: 99%

Soil Loss Estimation for Conservation Planning in The Dolago Watershed Central Sulawesi, Indonesia

Naharuddin¹,

Malík²,

Ahyauddin³

2021

J. Ecol. Eng.

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Soil loss assessment in watersheds is useful in developing plans for the protection and conservation of soil and water in a sustainable manner. This study aimed to determine erosion hazard classification and erosion hazard map using Revised Universal Soil Loss Equation (RUSLE) as the basis of a soil and water conservation planning program. The RUSLE model was used to assess soil loss and guide the soil conservation efforts. Annual rainfall data, digital elevation model (DEM), land use map were used to generate the RUSLE parameters, namely rainfallrunoff erosivity factor (R), soil erodibility factor (K), slope length and steepness factor (LS), cover-management factor (C), and support practices factor (P). Erosion hazard is classified into five classes, namely very low, low, medium, high, and very high. On the basis of the results, at the Dolago watershed, very high erosion hazard was found in dryland of 577.95 t/ha/yr. Meanwhile, very low erosion hazard was found in the rice field of 2.22 t/ha/yr. The results help in planning and implementing soil and water conservation, both vegetatively and mechanically, to minimize the damage to watershed ecosystems. Validation and testing of the RUSLE model should be carried out in future studies because this is a strategic step to develop modeling of sediment yields effectively in an effort to mitigate major land damage in watersheds.

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“…RUSLE in conjunction with GIS has become an effective tool for assessing soil erosion. Many researchers used the integration of RUSLE model with GIS in their study to estimate the rate of soil erosion [20][21][22]. Soil and water conservation practices (SWCPs) have a positive impact on soil properties.…”

Section: Introductionmentioning

confidence: 99%

Effects of Landscape Changes on Soil Erosion in the Built Environment: Application of Geospatial-Based RUSLE Technique

et al. 2020

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The world’s ecosystem is severely affected by the increase in the rate of soil erosion and sediment transport in the built environment and agricultural lands. Land use land cover changes (LULCC) are considered as the most significant cause of sediment transport. This study aims to estimate the effect of LULCC on soil erosion potential in the past 20 years (2000–2020) by using Revised Universal Soil Loss Equation (RUSLE) model based on Geographic Information System (GIS). Different factors were analyzed to study the effect of each factor including R factor, K factor, LS factor, and land cover factor on the erosion process. Maps generated in the study show the changes in the severity of soil loss in the Chitral district of Pakistan. It was found out that 4% of the area was under very high erosion risk in the year 2000 which increased to 8% in the year 2020. An increase in agricultural land (4%) was observed in the last 20 years which shows that human activities largely affected the study area. The outcomes of this study will help the stakeholders and regulatory decision makers to control deforestation and take other necessary actions to minimize the rate of soil erosion. Such an efficient planning will also be helpful to reduce the sedimentation in the reservoir of hydraulic dam(s) constructed on Chitral river, which drains through this watershed.

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Soil Erosion Risk Assessment due to Land Use/Cover Changes (LUCC) in Bulgaria from 1990 to 2015

Cited by 11 publications

References 32 publications

Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019

Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019

Soil Loss Estimation for Conservation Planning in The Dolago Watershed Central Sulawesi, Indonesia

Effects of Landscape Changes on Soil Erosion in the Built Environment: Application of Geospatial-Based RUSLE Technique

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