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Use of the CORINE Model in the Qualitative Assessment of Soil Erosion Risk in the Qharnaveh Watershed, Golestan Province | ||
| پژوهش های آبخیزداری | ||
| Article 2, Volume 37, Issue 3 - Serial Number 144, September 2024, Pages 2-18 PDF (2.89 M) | ||
| Document Type: Research | ||
| DOI: 10.22092/wmrj.2024.364047.1553 | ||
| Authors | ||
| Seyed Pedram Nainiva* 1; Maedeh Parichere2; Habib Nazarnejad3 | ||
| 1Ph.D. Student of Watershed Sciences and Engineering, Faculty of Natural Resources, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 2Ph.D. in Soil Science, Faculty of Agricultural Sciences, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran | ||
| 3Associate Professor, Department of Watershed Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. | ||
| Abstract | ||
| Introduction and Goal Soil erosion is one of the threats and environmental hazards of semi-arid and arid regions, which causes the loss of quality or the loss of a large amount of fertile soils all over the world every year, and it affects environmental, agricultural, and food security issues. The intensity of erosion is influenced by the growth and development of human activities along with land use change and resource destruction. In recent years, soil erosion in Iran has intensified due to the destruction of natural resources, and land use change has played a significant role in this process; Therefore, it is necessary to identify the areas prone to erosion and sediment yield in the internal watershed of Iran, which leads to the loss of thousands of tons of fertile soil every year, and to determine the control activities that can be adapted in these conditions. Therefore, the purpose of this study is to describe the spatial distribution of the risk of soil erosion in the Qharnaveh Watershed of Golestan Province using the CORINE model along with the geographic information system and remote sensing. The evaluation results will help prioritize critical areas adopt appropriate measures to prevent soil erosion. Materials and Methods The CORINE model is used to estimate and evaluate soil erosion risk. The actual soil erosion is calculated using the erodibility, erosivity, slope, vegetation cover, or land use factors in this model. The erosion of the study area was calculated using the Fournier index and dryness index for this purpose. Also, soil erodibility was estimated based on soil texture, stoniness and soil depth. Then, the erosion and erodibility maps were combined with the erosion capacity map obtained from the slope of the area and vegetation density. Finally, the real soil erosion risk map was obtained in the research area. Results and Discussion The results of this study indicated that 3.82% and 96.17% of the watershed were under low and moderate erosion risk, respectively, and the areas with low erosion risk were mainly located in the east of the watershed. The research findings indicated that this watershed had moderate soil loss and soil erosion potential, based on the CORINE model factors. Conclusion and Suggestions Therefore, according to the importance of erosion and also the location of the watershed in supplying the water of the downstream dams, it is suggested to seriously consider evaluating and planning models, make management decisions, promote, educate, and implement beneficial projects related to reducing the rate of soil movement and surface soil loss, to be a small step in reducing the rate of soil erosion and soil loss. | ||
| Keywords | ||
| CORINE model; qualitative model; remote sensing; soil loss | ||
| References | ||
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