Quantitative - Spatial Analysis of Soil Loss by Laminar Erosion and Comparison with NDVI Method of the Municipalities of Mandaguaçu and Presidente Castelo Branco / PR

Environmental monitoring is essential for society to maintain balance with the environment, given this fact, several methods from the science of geoprocessing and remote sensing were created to assist in the task. The present work used the Universal Soil Loss Equation to verify the spatiality of laminar erosions in the municipalities of Mandaguaçu and Presidente Castelo Branco, both in Paraná, in addition to comparing their results with data from the Digital Vegetation Index (NDVI) to obtain relationships between the loss of soils and the development or lack of vegetation. The results identified several foci of laminar erosion in the study area, as a possible cause, soils from the highly erodible Caiuá Sandstone can be considered, as well as topographic factors of the EUPS LS factor. It should be noted that the use of digital tools, satellite images and map algebra is not essential for environmental monitoring studies.

The Use of Artificial Neural Network and Advanced Statistics to Model Sediment Yield on a Large Scale: Example of Morocco

Morocco ranks among countries with the greatest achievements in the field of dams in Africa but is affected by the sedimentation phenomenon due to soil erosion in upstreams. The assessment of Sediment Yield (SY) and Suspended Sediment Yield (SSY) remains a challenging global issue, especially in Morocco, characterized by a great diversity of morphological, climatic, and vegetation cover. The main objective of this paper was to perform advanced statistics and artificial neural networks (ANN) in order to understand the spatial distribution of sediment yield and the factors most controlling it, including factors of the RUSLE model (Revised Universal Soil Loss Equation). In order to produce a model able to assess SY, we collected and analyzed extensive data of most variables that can be affecting SY using 42 catchments of the biggest and important dams of Morocco. Statistical analysis of the studied watersheds shows that SY is mainly related to the watershed area and the length of the drainage network. On the other hand, the SSY is higher in watersheds where gully erosion is abundant and lower in areas with no soil horizon. The SSY is mainly related to the altitude, aridity index, sand fraction, and drainage network length. In front of the complexity of preserving this phenomenon, the ANN was applied and gave very good satisfactory results in predicting the SSY (NSE=0.93, R2=0.93).

Mining disposal erosion evaluation: A case study

Mining disposal (dumping overburden) area is the primary consideration in the reclamation process in mining activities, especially in mining activity. The current study aims to determine the rate of erosion and the level of erosion hazard at mine disposal using water flow distribution. This research was conducted in a coal mine in Kalimantan. Based on the structure of the runoff flow distribution model, this study divides disposal into three land units. The universal soil loss equation in three land units was obtained for erosion values. The value for each land unit is 76 tons/ha/year, 134 tons/ha/year, and 50 tons/ha/year. These three land units are under the level of moderate and light danger of erosion. Afterward, three recommendations were made to the three land units. The first recommendation is the condition of land cover does not change, and conservation changes; the second recommendation is with changes in land cover, but conservation does not change; and the third recommendation is with conditions of land cover and conservation change. The second recommendation shows the best results compared to the other recommendations.

Prediction of erosion using the USLE method in the Malino Sub Watershed

One of the problems that occur in the Sub DAS Malino is population growth. The increase in population in an area will increase demand to encourage the community to convert forest land into non-forest land, especially agricultural land. It has an impact on erosion and flooding during the rainy season. The amount of erosion that occurs can result in damage and a decrease in soil quality; therefore, it is necessary to predict erosion using the Universal Soil Loss Equation (USLE) method. This study aims to determine the level of erosion hazard in the Malino sub-watershed, Jeneberang watershed. The data used in this study include data on land cover, rainfall, soil, and slope. The results showed that Sub DAS Malino has high erosion on the open land cover with 800.02 ton/ha/year of 0.44% area of the Sub DAS Malino.

Assessment of Soil Erosion Hazard in Prambanan District Using RUSLE (Revised Universal Soil Loss Equation)

Prambanan District which located in Daerah Istimewa Yogyakarta Province has the potential for land degradation due to erosion processes. With the characteristics of annual rainfall more than 2000 mm / year, topography with a slope of more than 20% in upland areas, as well as the conversion of upland to dryland agriculture are factors that can trigger the erosion process more quickly. If the rate of erosion speed exceeds the ability of the soil to regenerate the soil body, its productivity will be disrupted and accelerate the formation of critical soil. Therefore, it is necessary to know the estimated rate of erosion, tolerable distribution of erosion, and the potential danger of erosion that occurs. The purpose of this study was to (1) predict the rate of erosion, (2) calculate the permissible erosion value, (3) identify the rate & index of erosion hazard. Data were collected using field surveys and soil sampling using stratified random sampling techniques with land units as the unit of analysis. The value of erosion was predicted using the Revised Universal Soil Loss Equation (RUSLE) method. The RUSLE method is described by the following equation, A=R*K*L*S*C*P, where; A as estimated averages annual loss of soil, R is the rainfall erosivity factor, K is the soil erodibility factor, LS is the slope length factor, C is the cover management factor, & P is the conservation practice factor. The results showed that the erosion value ranged from 0.39 - 268.55 tons/ha/year. Permissible erosion ranges from 8.4 – 15 tons/ha/year for Latosol and 27.4 ton/ha/year for Regosol. The Rate of Erosion Hazard is dominated by moderate erosion, covering an area of 1330.7 ha or 31.8% of the total area. The Erosion Hazard Index is dominated by the low class (<1.0) which is covered over 2703.1 ha or 64.61% of the total area.

Erosion and sedimentation analysis due to land use changes in the Krueng Pase watershed

Human interactions with watershed can have positive and negative impact. The positive impact can improve socio-economic conditions. However, the negative impact is the degradation of the watershed function. For example, it’s continued increase in erosion rate on the land. The purpose of this study is to analyze erosion and sedimentation due to land use changes using the Universal Soil Loss Equation (USLE) and Modified Universal Soil Loss Equation (MUSLE) methods. Data collecting to determine erosion and sedimentation values are rainfall, soil erodibility and soil moisture, land use, and river water samples. The biggest decreased land use changes occurred in forest by 5.87%, followed by agriculture which decreased by 0.65% and water body 0.047%. On the other hand, built-up area increased by 0.65% and land used for agriculture increased by 6.15%. Furthermore, the level of erosion hazard in the Krueng Pase watershed from 2009 to 2019 increased in area, the mild level of erosion hazard increased by 7.9% and the moderate level erosion hazard by 27.4%. The amount of sedimentation obtained using the MUSLE method in 2019 was 6,869,98 tons and in 2009 was 41,692,97 tons. Erosion valuein 2019 is relatively small compared to other years. It’s really depends on the rainfall and the discharge that occurs. Therefore, a good land management system, proper and appropriate technology used, eco-hydrology concept and the monitoring of land use change regularly are needed, so damage that impact the Krueng Pase watershed can be prevented and minimize.

A Study Case on Estimation of Soil Loss and Sediment Yield in Curtin University, Malaysia

Because of human activities, soil erosion has been one of the most concerning issues in Malaysia in the past decades. This study aimed to estimate the amount of soil loss and sediment yield at Curtin University, Malaysia by using the Revised Universal Soil Loss Equation (RUSLE) and the Modified Universal Soil Loss Equation (MUSLE), respectively. The parameters of RUSLE include rainfall erosivity factor (R), soil erodibility factor (K), slope length factor (L), slope steepness factor (S), cover-management factor (C) and support practice factor (P). The rainfall data (10 years) from the Sarawak Meteorological Department was used to determine the R-factor. The K-factor was determined by sieve analysis, hydrometer analysis, the Standard Proctor Test (SPT), and organic content testing. The L-and S-factors were performed by measuring on site and using Google Earth. The C-and P-factors were based on the ground surface cover condition (bare soil in this study). In the MUSLE, the runoff factor comprises V and Qp, while the other parameters are the same as in the RUSLE. The runoff depth, V, is equivalent to the rainfall intensity. Rainfall intensities were recorded by using a rain gauge. The highest rainfall intensity was used for runoff depth. The Rational method has been utilized to calculate Qp. The amount of soil loss estimated was 119.97 tons/ha/year and the sediment yield amount estimated was 0.76 ton/storm event in Curtin University, Malaysia.