Spatial distribution of soil erosion risk and its economic impacts using an integrated CORINE-GIS approach

Akbari, Morteza; Neamatollahi, Ehsan; Noughani, Mohammad Alizadeh; Memarian, Hadi

doi:10.1007/s12665-022-10405-w

Cited by 4 publications

(2 citation statements)

References 50 publications

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“…In a study by [16], in which they used the Corine model to map the risk of soil erosion in the dry zone in the northeastern part of Iran, it was found that (43.62 and 25.02) % of the total area of the study area were exposed to low and medium latent erosion, respectively. While 5.22% are very dangerous, they also concluded that 78% of the study area has actual erosion of medium and high types.…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion Risk Assessment Using Corine Model: A Case Study in Shwan Sub basin, Kirkuk, Iraq

Noori,

Azeez

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Water erosion is one of the most important problems and challenges facing the optimal management of natural resources, especially soil and water resources, because of its impact on soil degradation. This study aimed to classify the risk of soil water erosion and clarify its distribution in the Shwan Basin in Kirkuk Governorate - Iraq based on the Corine model.In the first stage of the work, the soil erodibilty, erosivity and slope factors were determined, classified and mapped according to the degree of their impact on soil erosion.The potential soil erosion risk map was prepared using Arc GIS 10.4.1.In the second stage, the land cover factor was calculated and classified according to the degree of protection. In the last stage, the actual soil erosion risk map was prepared by multiplying the class of land cover with the map of potential soil erosion risk over the entire study area.The study showed that 28.18% of the studied area is classified under a high risk, 39.57% represents as a medium risk and 32.25% is a low risk .The areas of severe soil erosion risk were concentrated in the southwestern part and some northern and central parts, and the areas of medium risk were concentrated in the northern, central and southern parts, while regarding the low actual risk, they were concentrated in the western parts and in random areas in the center and east of the study area.The results also showed that the Corine model for soil water erosion risk mapping is a highly effective and cost-effective approach.

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Section: Introductionmentioning

confidence: 99%

Soil Erosion Risk Assessment Using Corine Model: A Case Study in Shwan Sub basin, Kirkuk, Iraq

Noori,

Azeez

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…A scholar established the Universal Soil Loss Equation (USLE) model, which greatly improved the research efficiency of SE and the enthusiasm of scholars. Many scholars proposed a series of SE models that conform to local actual conditions [4]. A scholar combined the modified general soil loss equation (RUSLE), used ArcGIS to resample and analyze the SE factors, and then multiplied the factors to calculate the SE modulus in the study area.…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal Analysis of Soil Erosion Based on Spatial Model and GIS Technology

2022

AJEB

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In recent years, with the increase of population and economic and social development, unreasonable agricultural farming methods, indiscriminate deforestation, overgrazing and other unreasonable human activities have aggravated the impact of regional soil erosion(SE), seriously affecting the security of land resources. In-depth study of the occurrence mechanism of regional SE, analysis of the distribution pattern and temporal and spatial characteristics of regional SE, and accurate assessment of the amount of regional SE are of great significance for protecting surface soil resources, reducing land degradation, protecting the ecological environment, and alleviating SE problems in my country and the world important meaning. In this paper, combined with spatial model and GIS technology, the RULE model is used to quantitatively evaluate wind erosion and hydraulic erosion in a county, calculate and count the modulus of wind erosion and hydraulic erosion, obtain the spatiotemporal distribution characteristics of SE factors in the county, and master the SE in the county. The spatial and temporal distribution of feng shui erosion. The research results show that the wind erosion factor reached the highest value in the year in May, and the overall space showed a decreasing trend from east to west. The hydraulic erosion is analyzed based on the rainfall erosion factor, which is relatively strong in June, July and August, and relatively weak in other months, and generally shows a decreasing trend from northwest to southeast in space.

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Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

et al. 2023

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Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran's Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha -1 yr -1 before the floods to 10.93 t ha -1 yr -1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion. Keywords Natural disasters . Human activities . Risk assessment . Land degradation . GloSEM 1 Introduction

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Spatial distribution of soil erosion risk and its economic impacts using an integrated CORINE-GIS approach

Cited by 4 publications

References 50 publications

Soil Erosion Risk Assessment Using Corine Model: A Case Study in Shwan Sub basin, Kirkuk, Iraq

Soil Erosion Risk Assessment Using Corine Model: A Case Study in Shwan Sub basin, Kirkuk, Iraq

Spatial-temporal Analysis of Soil Erosion Based on Spatial Model and GIS Technology

Assessing impacts of floods disaster on soil erosion risk based on the RUSLE-GloSEM approach in western Iran

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