Soil Erosion Assessment Research Articles

Assessment of potential soil erosion and sediment yield in the semi-arid N′fis basin (High Atlas, Morocco) using the SWAT model

Arid and semi-arid regions face multiple problems in terms of water management, particularly where surface water is a primary resource. On the northern flank of the High Atlas Mountains (Morocco), deforestation has resulted in soil erosion and siltation of reservoirs. Better characterization of sediment yield is important for reducing the impact of siltation and prolonging the lifespan of dams. The Soil and Water Assessment Tool was used for modeling the N′fis basin in the southern Tensift watershed, leading to a better understanding of the rate of siltation behind Lalla Takerkoust dam. Runoff and sediment yield simulations were evaluated using graphical and statistical methods. The SWAT model performed well in estimating sediment load during the calibration period from 1990 to 2015 (Nash–Sutcliffe efficiency = 0.5–0.62, R2 = 0.5–0.61). The model enabled the determination of soil loss within each hydrological response unit in the watershed. The overall rate was approximately 123 t Ha−1 for an average annual rainfall of 315 mm yr−1. This high yield has to be taken into account for effective water-resources management in the N′fis basin.

Soil erosion on the “El Portalet” mountain trails in the Eastern Iberian Peninsula

Leisure activities in natural areas have experienced a large increase in popularity. In Mediterranean ecosystems, research on soil erosion in agriculture and forest fire affected land has been well developed but trail erosion has not been widely studied. In this work we evaluated two trails in the eastern Iberian Peninsula to assess soil erosion rates and provide new data. The study area is located in a semi-arid Mediterranean climate (around 400 mm y−1) and in limestone terrain with scarce soil development. The average erosion rates were 24.39 Mg ha−1 y−1 and 40.40 Mg ha−1 y−1 for the “Barranc de la Cova de la Hedra” and “Casa del Racó” study trails, respectively. These are non-sustainable rates due to the shallow soils and slow soil development in Mediterranean ecosystems. We found that the depth at the centre of the trail and the maximum depth measured could quickly and easily assess soil erosion rates in the mountain trails. Measuring the width and depth in the centre of the trail can assess 91% of the total erosion and reduces the time of the survey by 80%.

湄公河流域土壤侵蚀空间特征及其优先治理区确定

PDF HTML阅读 XML下载 导出引用 引用提醒 湄公河流域土壤侵蚀空间特征及其优先治理区确定 DOI: 10.5846/stxb201806201351 作者: 作者单位: 北京师范大学,环境保护部环境工程评估中心,北京师范大学,北京师范大学,北京师范大学 作者简介: 通讯作者: 中图分类号: 基金项目: 生态环境部"一带一路"环境保护合作专项 Assessment of soil erosion and prioritization for treatment at the catchment level in the Mekong basin Author: Affiliation: Beijing Normal University,,,,Beijing Normal University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:湄公河流域拥有丰富的自然生态系统，为沿岸居民提供了食物、交通等众多方面支持，在东南亚地区具有极其重要的地位。土壤侵蚀是该流域主要环境问题，易引发土地退化和河流泥沙淤积。基于气候、土壤、遥感等区域数据产品，使用通用土壤流失方程（USLE，Universal Soil Loss Equation），对湄公河流域土壤侵蚀状况及空间分布特征进行探究，并通过联合信息熵方法，确定该流域土壤侵蚀的主导因素。结果表明，湄公河流域平均土壤侵蚀模数为1.98×103 t km-2 a-1，属轻度侵蚀；流域内近40%区域存在不同强度的土壤侵蚀，侵蚀较严重的地区主要包括11个子流域（M4-M7、M9、T4-T6、T8、T10、T20），是未来土壤侵蚀重点治理区域。土地利用类型、坡度和海拔是该流域土壤侵蚀的主导因素，其中灌丛和裸地/稀疏植被分别为强烈和极强烈侵蚀，土壤侵蚀模数与坡度的关系为随坡度的增加呈先增加后减小的趋势，和土壤侵蚀模数与海拔的关系相同。流域内剧烈程度侵蚀发生区主要特点为：土地利用类型为裸地/稀疏植被和灌木，海拔在500-2000 m，坡度在8-25°。基于优先级理论，对湄公河子流域的优先治理次序进行排序和划分等级，共分为4个等级，达到第一级的共3个子流域。通过以上研究分析以期能为湄公河流域今后的水土保持规划和管理工作提供一定的科学参考依据。 Abstract:The Mekong River's abundant natural ecosystems supports the lives of coastal residents in numerous ways and plays a major role in Southeast Asia. Soil erosion is a major environment problem and can easily lead to land degradation and sedimentation. In this study, we applied the Universal Soil Loss Equation model to explore soil erosion and spatial distribution characteristics of the Mekong River Basin. We also combined the Information Entropy method to explore the dominant factors of soil erosion. The results showed that the average soil loss is 1.98×103 t km-2 a-1. There are different levels of soil erosion in about 40% of the area. Serious erosion mainly comes from elven catchments (M4-M7, M9, T4-T6, T8, T10, and T20). Land cover type, slope, and altitude are dominant factors influencing soil erosion in the basin. Shrub and bare/spare vegetation areas are subject to strong and extreme erosion. The mean soil loss first increases and then decreases with increasing slope, and it is the same with mean soil loss and altitude. The major characteristics of extreme erosion areas are: bare/spare vegetation and shrub, sea level range of 500 m to 2000 m, and slope range of 8 to 25°. Finally, based on the Priority Theory, the priority governance order of the Mekong River Basin was ranked and graded. It was divided into four grades and there are three tributaries belonging to the first grade. Our results could provide a scientific reference for future planning and management of soil and water conservation in the Mekong River Basin. 参考文献 相似文献 引证文献

Soil Erosion Assessment in Basaltic-Associated Landscapes of Central India using Integrated Approach of RUSLE, Remote Sensing and GIS

Soil Erosion Assessment in Basaltic-Associated Landscapes of Central India using Integrated Approach of RUSLE, Remote Sensing and GIS

Prediction and mapping of erodibility factors (USLE and WEPP) by magnetic susceptibility in basalt-derived soils in northeastern São Paulo state, Brazil

Spatial assessment of soil erosion is essential for the adaptation of agricultural practices and monitoring of soil losses. In this sense, this study aims to assess the efficiency of magnetic susceptibility (MS) as a predictor of soil erodibility factors (K for USLE model; Ki and Kr for WEPP model) fora detailed mapping of Oxisols with different iron contents in northeastern Sao Paulo State, Brazil. This study was carried out in an area of 380 hectares under sugarcane cultivation in Sao Paulo State. Soil samples were collected in a sampling grid (150) and in a transect (86) and physical and chemical analyses and calculations of the erodibility factors/parameters K, Ki, and Kr were performed. Pedotransfer functions (PTFs) were calibrated using simple linear regression analysis to predict the factors/parameters K and Ki using MS as a predictor variable. The observed values of MS and the predicted values of the factors/parameters K, Ki, and Kr were submitted to geostatistical analysis for constructing maps. Magnetic susceptibility can be used as a predictor of erodibility factors (K for USLE model; Ki and Kr for WEPP model) for Oxisols with total iron content ranging from 1 to 20% Fe2O3, with a precision of up to 60% and an accuracy of up to 85%. The results can guide future studies on water erosion in a tropical environment using magnetic soil data as an environmental covariate in the modeling process for large areas.

Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)

Fire effects consist not only in direct damage to the vegetation but also in the modification of both chemical and physical soil properties. Fire can affect the alteration of soil properties in different ways depending on fire severity and soil type. The most important consequences concern changes in soil responsiveness to the water action and the subsequent increase in sediment transport and erosion. Post fire soil loss can increase in the first year by several orders of magnitude compared to pre-fire erosion. In this study a distributed model based on the Revised Universal Soil Loss Equation (RUSLE) is used to estimate potential post-fire soil loss for four different fire events occurred in Basilicata region in 2017. Geographic Information System techniques and remote sensing data have been adopted to build a prediction model of post-fire soil erosion risk. Results show that this model is not only able to quantify post-fire soil loss but also to identify the complexity of the relationships between fire severity and all the factors that influence soil susceptibility to erosion.

Assessment of Soil Erosion Dynamics Using the GIS-Based RUSLE Model: A Case Study of Wangjiagou Watershed from the Three Gorges Reservoir Region, Southwestern China

The adjacent agricultural watershed is a vital component of the Three Gorges Reservoir Region (TGRR); however, it is affected by serious soil erosion. Assessing soil erosion dynamics in such watersheds is useful for identifying its causes and tendencies to develop, in turn providing scientific information for soil and water conservation at the regional scale. In the present study, the spatial and temporal patterns of soil erosion of a small agricultural watershed in central TGRR were investigated from 2002 to 2014 using the Revised Universal Soil Loss Equation (RUSLE) model, combined with Geographic Information Systems (GIS). The trends and processes of the overall soil erosion intensity were analyzed using spatial overlay analysis and the Markov transition matrix model, respectively. The spatial distribution of soil erosion rates within this watershed was relatively consistent during the study period. Erosion intensity was moderate, with a mean soil loss of 35.1 t·ha−1·year−1. Precipitation was a dominant factor influencing the intensity of soil erosion. Moreover, most erosion intensities shifted closely to middle grades from 2002 to 2008, and declined from 2008 to 2014, indicating that soil erosion in the Wangjiagou watershed has recently decreased. These results suggest that recently implemented integrated soil management practices were responsible for the recently observed erosion patterns.

Design of measures for soil erosion control and assessment of their effect on the reduction of peak flows

The aim of this paper is an assessment of the susceptibility of soil to soil erosion, proposed measures against soil erosion, and an assessment of their effect on the reduction of peak flows. The area of interest is the Haluznikov Creek basin. The calculations of the soil loss from water erosion were done using the universal soil loss equation and universal soil loss equation 2D methods; for estimating design floods, the curve number method was applied. For reducing the soil loss to tolerance values, strip cropping measures on agricultural fields were proposed. After applying the strip cropping measures, the design flood peaks were also reduced.

Combining the Stock Unearthing Method and Structure-from-Motion Photogrammetry for a Gapless Estimation of Soil Mobilisation in Vineyards

In vineyards, especially on steep slopes like the Ruwer-Mosel Valley, Germany, soil erosion is a well-known environmental problem. Unfortunately, some enterprises and farmers are not aware of how much soil is being lost and the long-term negative impacts of soil erosion. The non-invasive technique of the stock unearthing method (SUM) can be used for a quick assessment of soil erosion in vineyards. SUM uses the graft union as a reference elevation for soil surface changes since the time of plantation commencement, which is modelled with the help of a geographic information system. A shortcoming of SUM is that the areas between the pair-vine cross sections are not surveyed, hence it is not accurate enough to identify erosion hot-spots. A structure-from-motion (SfM) photogrammetric technique is adopted to complement SUM to fill this data gap. Combining SUM (only measuring the graft unions) and SfM techniques could lead to an improved, easy and low-cost method with a higher accuracy for estimation of soil erosion based on interpolation by projection, and contact and gapless measuring. Thus, the main aim of this paper was to map the current soil surface level and to improve the accuracy of estimation of long-term soil mobilisation rates in vineyards. To achieve this goal, the TEPHOS (TErrestrial PHOtogrammetric Scanner), a static five camera array, was developed on a 20 m2 plot located in a steeply sloping vineyard of the Ruwer-Mosel Valley, Trier, Germany. A total soil mobilisation of 0.52 m3 (9.14 Mg ha yr−1) with soil surface level differences in excess of 30 cm in the 40 years since plantation commencement were recorded. Further research is, however, needed to reduce the number of photos used for the point cloud without loss of accuracy. This method can be useful for the observation of the impacts of other factors in vineyards, such as tillage erosion, runoff pathway detection or the trampling effect on soil erosion in vineyards.

Estimating long-term erosion and sedimentation rate on farmland using magnetic susceptibility in northeast China

Soil loss is a global environmental issue. Increasing amounts of attention have been paid to assessing soil erosion and its distribution on cultivated slopes using magnetic susceptibility (MS), which is a rapid, reliable, economic and nondestructive method. However, the MS technique provides incomplete estimates of soil loss. The objective of this study is to employ MS as a tracer to estimate soil loss on cultivated slopes in northeast China. A typical degraded sloping farmland area with a 40-year history of cultivation and a reference forest site were selected. The eroded and deposition regions were distinguished and the tillage homogenization model was used to predict variations in MS with erosion depth. The soil erosion depth, deposition thickness, soil loss, and soil erosion rate were calculated by matching the MS profile measured in the farmland sites to the reference forest site. The results showed that nearly 64% of the area of the selected slope had been eroded, and sediment produced by erosion had been deposited on 36% of the slope as a whole. The largest MS values occurred on the lower portion of the slope (a deposition area), whereas the smallest values occurred on the middle portion of the slope (an eroded area). The average eroded soil depth was 44.5 cm or 1.1 cm·yr-1, and the average deposition thickness was 35.5 cm or 0.9 cm·yr-1. The total amount of soil loss from the sampling slope was 29,338.4 t, which corresponded to a rate of soil loss of 4,630.5 t·km-2·yr-1 over the 40-year cultivation period. This result was similar to those obtained by previous studies conducted in the same region using other methods and techniques. Thus, soil MS was demonstrated to be a reliable tool that can be used to quantify soil erosion on cultivated slopes in northeast China.

Integrated framework for soil and water conservation in Kosi River Basin

Soil loss through erosion and its subsequent deposition is considered as an important challenge for watersheds. In this paper, attempt has been made to integrate the Revised Universal Soil Loss Equation, rainfall climatology from merged IMD gauge-TRMM (1998–2015) and soil hydraulic parameters to delineate the highly susceptible zones of the Kosi River Basin (KRB), Bihar, India for soil erosion assessment and watershed prioritization. The soil hydraulic parameters are calculated by using the ROSETTA model. Afterwards, the analytical hierarchy process based on multi-criteria evaluation method (AHP-MCE) was employed to assign the weighting to each factor (Soil erosion, Compound Factor, Field Capacity) depending on their erosion potential. Weighted overlay analysis is then performed to generate the watershed prioritization map for soil and water conservation. The overall findings suggest that the sub-watersheds 5, 8 and 7 required utmost attention and conservative measures because of their high erodibility characteristics.

Soil erosion assessment using RUSLE model in the Congo Nile Ridge region of Rwanda

ABSTRACTThis research assessed the soil erosion threat in the Congo Nile Ridge Region of Rwanda. The study forecasted erosion by applying the Revised Universal Soil Erosion (RUSLE) with five factors (rainfall, soil, topography, cover management, and support practices) and spatial data. About 85.5% of the area under investigation was predisposed to erosion with unsustainable average soil loss rates of > 1 t/ha/yr. The outcomes of the research highlighted that the average rate of estimated soil loss in the region prone to erosion was > 63.62 t/ha/yr, resulting in an overall annual predicted soil loss of approximately 44 × 106 t in 2016. All of the districts studied have steep slope gradients (30.4%–36.1%) and high annual rainfall totals (1199–1484 mm/yr), except Rubavu district. More than 88.8% of croplands had unsustainable average soil loss rates of > 1 t/ha/yr. The analysis indicated that both terracing and strip cropping have the potential to reduce rates of soil loss in the farmland, by 64.4% and 10.4%, respectively. The results of this study will serve as a baseline for soil erosion mitigation and land-use planning in the study area and Rwanda at large.

Geosystem approach for assessment of soil erosion in Priol’khonie steppe (Siberia)

This research follows traditions of landscape science developed in Russia since the early XXth century which is considered the complexity of landscapes with their abiotic and biotic characteristics. As a study area, we choose Piol’khon plateau where the impact on the landscapes has significantly increased. The specific climate and soil conditions lead to soil erosion processes (downwash, rainwash and linear erosion) in the study area. On the rate of water erosion, are influenced follow factors: a stage of degradation (combination of species composition and trampling characteristics), steepness of slope, above-ground herbaceous phytomass, and amount of fine sand in the upper soil horizon. Most sensitive geosystems types to erosion processes were specificated.

Effect of Climate Change on Soil Erosion in a Mountainous Mediterranean Catchment (Central Pindus, Greece)

The aim of this study was to assess soil erosion changes in the mountainous catchment of the Portaikos torrent (Central Greece) under climate change. To this end, precipitation and temperature data were derived from a high-resolution (25 × 25 km) RegCM3 regional climate model for the baseline period 1974–2000 and future period 2074–2100. Additionally, three GIS layers were generated regarding land cover, geology, and slopes in the study area, whereas erosion state was recognized after field observations. Subsequently, the erosion potential model (EPM) was applied to quantify the effects of precipitation and temperature changes on soil erosion. The results showed a decrease (−21.2%) in annual precipitation (mm) and increase (+3.6 °C) in mean annual temperature until the end of the 21st century, and the above changes are likely to lead to a small decrease (−4.9%) in soil erosion potential.

Effects of Climate Change on Soil Erosion Risk Assessed by Clustering and Artificial Neural Network

The erosivity index, as a combination of the Fournier index (FI) and the Bagnouls–Gaussen aridity index (BGI), has been suggested to assess soil erosion risk. It can be easily calculated from meteorological data, i.e., precipitation and temperature. As an example application, data from 55 meteorological stations in Turkey corresponding to a period of 39 years from 1975 to 2013 are considered herein. The stations were classified using cluster analysis to obtain a zonation of Turkey based on EI yearly averages. Clustering techniques were applied to a similarity matrix between stations obtained based on the complement of the probability of the similarity ratio index. Four clusters were defined according to the maximal evenness of the eigenvalues of the within each cluster similarity matrices corresponding to different hierarchical levels of the dendrograms. The probability of similarity was calculated using a permutation technique. Time series of the EI of the clusters were used to predict their annual average values for the years from 2014 to 2040 using a multilayer back-propagation neural network (MLPBP-NN). The results showed that the four clusters represent a gradient of increasing EI. The clusters corresponding to northern and central Turkey have lower EI values and EI variability than those for southern and western Turkey. The results of the MLPBP-NN predict that the erosion risk will increase for all zones, but with high increments in southern and western Turkey. Therefore, the regions corresponding to these clusters should be subjected to detailed soil erosion risk analysis.

Effects of parent material on soil erosion within Mediterranean new vineyard plantations

Parent material can determine specific physical and chemical soil properties and, therefore, soil erosion rates. However, for new vine plantations, there is not enough research on soil erosion assessment on different parent materials which could be helpful for agricultural management plans. The main aim of this research was to quantify soil erosion rates of two recent vineyard plantations under similar climate and land use management conditions, but on different parent materials, namely colluvium (2 years old) and marls (8 years old), located within the Les Alcusses valley vineyards in Eastern Spain. To achieve this goal, the ISUM (improved stock unearthing method) was applied. ISUM involves measurements of vertical distances from a horizontally stretched meter band attached to opposite pair vine plants to the topsoil surface at 5 sampling points along the cross sections of the pair vine rows. The original surface level was determined from the fixed distance of 2 cm of the graft unions from the soil surface. Digital elevation modelling of the vertical measurements was used to infer the erosion rates. Annual total soil erosion rates were 87.7 Mg ha−1 year−1 and 4.35 Mg ha−1 year−1 in the marls and colluvium plots, respectively. For the marls plot, 67% of the depletion occurred in the inter-row areas, whereas for the colluvium plot the inter-row areas registered 4.78 Mg ha−1 year−1 depletion and the row areas showed only a deposition of 0.44 Mg ha−1 year−1. We hypothesised that the inter-row areas registered the highest erosion rates due to the tillage practices. In the row areas, the cover of the vines possibly reduced soil erosion rates and acted as sinks for sediments. This behaviour of the inter-row areas acting as sources and the row areas as sinks for sediments was more evident on the colluvium plot, while most sections on the marls plot showed intense erosion features. It is suggested that more attention should be paid by policymakers and stakeholders to these differences when new plantations are introduced on marls and colluvium vineyards. We claim that initial soil erosion control measures should be applied during the first few years of plantations instead of when the vineyards are much older and soil has already been mobilised.

Magnetic methods in tracing soil erosion, Kharkov Region, Ukraine

Magnetic measurements of soils are an effective research tool in assessing soil erosion. This approach is based on detecting layers showing different magnetic properties in vertical soil profiles and lateral catenas. The objective of this research is to compile data on magnetic susceptibility (MS) of soils in Eastern Ukraine to assess the soil erosion rates. The chernozems of Tcherkascy Tishki (Kharkov Region, Ukraine) have undergone a field crop rotation without proper soil conservation technologies being applied. We conducted an intrinsic element grouping of the magnetic susceptibility values and demonstrated that they can be used as MS cartograms in soil erosion mapping. The study showed a strong correlation between the MS values and the erosion index. MS and the erosion index were found to correlate with the humus content. Magnetic mineralogical analyses suggest the presence of highly magnetic minerals (magnetite and maghemite) as well as weakly magnetic goethite, ferrihydrite, and hematite. Stable pseudosingle-domain (PSD), single-domain (SD), and superparamagnetic (SP) grains of pedogenic origin dominate in the studied chernozems. Being an effective, quick and low cost alternative, magnetic methods can be successfully used in the soil erosion investigations.

Spatial assessment of soil erosion in a hilly watershed of Western Nepal

Soil erosion is a serious problem mankind is facing today as it has been continuously degrading the quality and standard of lives across the globe. Being a hilly country with undulating topography with steeper slopes accompanied with heavy rainfall, Nepal is predisposed to natural hazards including soil erosion. This paper attempts to model the soil erosion rate in the Aringale Khola Watershed of middle hills of Nepal with the judicious use of geographic information system (GIS) and revised universal soil loss equation (RUSLE) techniques. RUSLE was used in ArcGIS environment, taking rainfall-runoff (R), soil erodibility (K), topography (LS), crop management (C) and conservation support practice (P) factors as primary inputs. A total of nine soil erosion classes were observed; soil erosion rates ranging from 0.03 to 100.33 t/ha/year with a mean soil rate of 11.17 t/ha/year. GIS analysis depicted that 36.93% (1256.28 ha) of the total watershed area fell in the severe erosion classes whereas the remaining 63.07% (2145.56 ha) were less severe. A major part of the watershed, particularly areas with higher elevations and steep slopes, are degraded and needs urgent conservation measures. This study is a first attempt to model soil erosion distribution in the Aringale Khola Watershed and has very good potential to be used for soil erosion prediction in similar watersheds in the middle hills of Nepal.

Analysis of Soil Erosion Induced by Heavy Rainfall: A Case Study from the NE Abruzzo Hills Area in Central Italy

Soil erosion induced by heavy rainfall deeply affects landscape changes and human activities. It depends on rainfall distribution (e.g., intensity, duration, cumulative per event) and is controlled by the interactions between lithology, orography, hydrography, land use, and vegetation. The Abruzzo piedmont coastal hilly area has been affected by several heavy rainfall events in the last decades. In this work, we investigated three ~1-day heavy rainfall (>35 mm/h and 100–220 mm/day) events in 2007, 2011, and 2012 that occurred in the clayey hilly coastal NE Abruzzo area, analyzing cumulative rainfall, intensity, and duration while mapping triggered geomorphological effects (soil erosion and accumulation) and evaluating average erosion. The analysis provides contributions to a soil erosion assessment of clayey landscapes that characterizes the Adriatic hilly area, with an estimation of rainfall-triggering thresholds for heavy soil erosion and a comparison of erosion in single events with rates known in the Mediterranean area. The triggering threshold for heavy soil erosion shows an expected value of ~100–110 mm. The estimated average soil erosion is from moderate to high (0.08–3.08 cm in ~1-day heavy rainfall events) and shows a good correlation with cumulative rainfall and a poor correlation with peak rainfall intensity. This work outlines the strong impact of soil erosion on the landscape changes in the Abruzzo and Adriatic hilly areas.

Assessing Soil Erosion by Agricultural and Forestry Production and Proposing Solutions to Mitigate: A Case Study in Son La Province, Vietnam

Son La is a province in the Northwest region of Vietnam; this province has diverse terrains with elevation ranging from 100 m to 2,900 m. Due to lack of cultivating lands, farmers still cultivate lands with steep slope, even above 25o. Consequently, the soil erosion has occurred hugely and the time for productive cultivation has been shortened. Therefore, it is necessary to assess the actual soil erosion, analyzing causes and proposing solutions to mitigate soil loss in the Son La province. Application of GIS technology and the Universal Soil Loss Equation (USLE) to predict soil erosion showed that the soil eroded at a very low level (0–1 ton·ha−1·year−1) accounted for the largest proportion with 56.49% of the area. Low level (1–5 ton·ha−1·year−1), medium level (5–10 ton·ha−1·year−1), and high level (10–50 ton·ha−1·year−1) eroded areas account for 8.52%, 7.88%, and 1.41%, respectively, of the area. Soil is eroded in very high level (>50 ton·ha−1·year−1), accounting for 25.7% of the study area. Research on solutions to mitigate soil erosion in Mai Son district showed that, for the cultivation of perennial crops (coffee), when planting on following contour lines, the amount of soil lost annually due to erosion is 63.37 ton·ha−1, while the cultivation following level top bench terrace soil loss is 39.55 ton·ha−1. If more grass strips were planted, the amount of soil lost annually due to erosion was reduced by 71% compared to traditional solutions. For this solution, when intercropping soybean, the soil erosion was reduced by 63–76% compared to the traditional methods. For cultivation of annual crops (maize) where the traditional methods of cultivation, namely, burning, ploughing, and seeding, are followed, the average loss of soil annually is 64.06 ton·ha−1. This value was 45.04 ton·ha−1 and 41.96 ton·ha−1, respectively, as the minimum soil tillage measure and no-tillage measure were used. When using the stems of maize after harvesting to cover lands following contour lines and terraces, soil erosion decreased by 38–59% compared to traditional solutions, while intercropping with legumes, soil loss due to erosion decreased 50–68% compared to traditional measures.