Modelización de la emisión de sedimentos en una cuenca con forestaciones del Noreste Pampeano

En el ámbito de la llanura pampeana tienen lugar procesos degradativos que condicionan la actividad agrícola ganadera, vinculados con la erosión de tipo hídrica superficial. El presente trabajo busca modelar la emisión de sedimentos en una cuenca hidrográfica con forestaciones del Noreste Pampeano. La metodología implementada consiste en aplicar un modelo cartográfico cuantitativo desarrollado en base geoespacial con Sistema de Información Geográfica, apoyado en la Ecuación Universal de Pérdida de Suelo Modificada (MUSLE). Se realizó un análisis de validación estadística con ensayos de microsimulador de lluvias a campo, para una lluvia de 30 mm.h-1 de dos años de retorno. Los resultados obtenidos fueron mapas georreferenciados de cada factor de la MUSLE valorizados por color-intensidad, que alcanzan un valor de 33,77 Mg de sedimentos emitidos a la salida de la cuenca, con un coeficiente de correlación de 0,94 y un grado de ajuste de Nash-Sutcliffe de 0,82. Se concluye que el modelo cartográfico generó información espacial precisa de los componentes de la MUSLE para un evento de lluvia concreto. La aplicación del microsimulador de lluvias permitió la obtención de valores reales de emisión de sedimentos, lográndose un alto grado de ajuste. La emisión de sedimentos en la cuenca resultó ser leve a nula.

Utilização de índices de vegetação para estimativa da proteção do solo pela cobertura vegetal: uma contribuição para o uso da equação universal das perdas de solo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização da cobertura vegetal na equação universal de perda de solos (fator C) por meio de geotecnologias

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Improved slope adjustment functions for soil erosion prediction

Numerous studies in the last 60 years have investigated the relationship between land slope and soil erosion rates. However, relatively few of these have investigated slope gradient responses: ( a) for steep slopes, (b) for specific erosion processes, and ( c) as a function of soil properties. Simulated rainfall was applied in the laboratory on 16 soils and 16 overburdens at 100 mm/h to 3 replicates of unconsolidated flume plots 3 m long by 0.8 m wide and 0.15 m deep at slopes of 20, 5, 10, 15, and 30% slope in that order. Sediment delivery at each slope was measured to determine the relationship between slope steepness and erosion rate. Data from this study were evaluated alongside data and existing slope adjustment functions from more than 55 other studies from the literature. Data and the literature strongly support a logistic slope adjustment function of the form S = A + B/[1 + exp (C - D sin theta)] where S is the slope adjustment factor and A, B, C, and D are coefficients that depend on the dominant detachment and transport processes. Average coefficient values when interill-only processes are active are A - 1.50, B 6.51, C 0.94, and D 5.30 (r(2) = 0.99). When rill erosion is also potentially active, the average slope response is greater and coefficient values are A - 1.12, B 16.05, C 2.61, and D 8.32 (r(2) = 0.93). The interill-only function predicts increases in sediment delivery rates from 5 to 30% slope that are approximately double the predictions based on existing published interill functions. The rill + interill function is similar to a previously reported value. The above relationships represent a mean slope response for all soils, yet the response of individual soils varied substantially from a 2.5-fold to a 50-fold increase over the range of slopes studied. The magnitude of the slope response was found to be inversely related ( log - log linear) to the dispersed silt and clay content of the soil, and 3 slope adjustment equations are proposed that provide a better estimate of slope response when this soil property is known. Evaluation of the slope adjustment equations proposed in this paper using independent datasets showed that the new equations can improve soil erosion predictions.

LA ECUACION UNIVERSAL DE EROSION

La erosión de los suelos agrícolas, la protección del manto vegetal en laderas inclinadas, la conservación de la fauna son temas de actualidad nacional y de problemática incluida como tema de análisis o discusión en los programas de varias carreras universitarias. El autor desea aportar elementos de juicio para enfrentar científicamente el problema de la erosión edáfica; para “ el control de un fenómeno físico o mecánico no se lleva a buen termino si el proceso de desarrollo del fenómeno no es entendido, los factores que lo determinan no pueden ser medidos y las mediciones presentadas en una ecuación”. En este artículo se hace revisión de los intentos para cuantificar el fenómeno mediante la aplicación de la Ecuación Universal de Perdida de Suelo. ABSTRACT The erosion of agricultural soils, protection of the natural cover on sloping and wild life conservation are now national issues and they are principal subjets of several courses in the universities. The author wants to contribute with some viewpoints or how to scientifically take up the problem of edaphic erosion. For him, “the control of the physical ormechanical phenomenon is not well carried out if the processes involved in the phenomenon itself are not undertood, or the determining factor are not measured and written down in a equation”. This paper reviews the attempts of quantifying the phenomenon by the application of the Universal Equitation of Equation of Soil Loss.

Soil CO(2) emission estimated by different interpolation techniques

Soil CO(2) emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO(2) emissions in an agricultural field when estimated by ordinary kriging and sequential Gaussian simulation. The dataset consisted of 64 measurements taken in the morning and in the afternoon on bare soil in southern Brazil. The mean soil CO(2) emissions were significantly different between the morning (4.54 mu mol m(-2) s(-1)) and afternoon (6.24 mu mol m(-2) s(-1)) measurements. However, the spatial variability structures were similar, as the models were spherical and had close range values of 40.1 and 40.0 m for the morning and afternoon semivariograms. In both periods, the sequential Gaussian simulation maps were more efficient for the estimations of emission than ordinary kriging. We believe that sequential Gaussian simulation can improve estimations of soil CO(2) emissions in the field, as this property is usually highly non-Gaussian distributed.

Reconsolidation of the soil surface after tillage discontinuity, with and without cultivation, related to erosion and its prediction with RUSLE

Site-specific regression coefficient values are essential for erosion prediction with empirical models. With the objective to investigate the surface-soilconsolidation factor, Cf, linked to the RUSLE's prior-land-use subfactor, PLU, an erosion experiment using simulated rainfall on a 0.075 m m-1 slope, sandy loam Paleudult soil, was conducted at the Agriculture Experimental Station of the Federal University of Rio Grande do Sul (EEA/UFRGS), in Eldorado do Sul, State of Rio Grande do Sul, Brazil. Firstly, a row-cropped area was excluded from cultivation (March 1995), the existing crop residue removed from the field, and the soil kept clean-tilled the rest of the year (to get a degraded soil condition for the intended purpose of this research). The soil was then conventional-tilled for the last time (except for a standard plot which was kept continuously cleantilled for comparison purposes), in January 1996, and the following treatments were established and evaluated for soil reconsolidation and soil erosion until May 1998, on duplicated 3.5 x 11.0 m erosion plots: (a) fresh-tilled soil, continuously in clean-tilled fallow (unit plot); (b) reconsolidating soil without cultivation; and (c) reconsolidating soil with cultivation (a crop sequence of three corn- and two black oats cycles, continuously in no-till, removing the crop residues after each harvest for rainfall application and redistributing them on the site after that). Simulated rainfall was applied with a Swanson's type, rotating-boom rainfall simulator, at 63.5 mm h-1 intensity and 90 min duration, six times during the two-and-half years of experimental period (at the beginning of the study and after each crop harvest, with the soil in the unit plot being retilled before each rainfall test). The soil-surface-consolidation factor, Cf, was calculated by dividing soil loss values from the reconsolidating soil treatments by the average value from the fresh-tilled soil treatment (unit plot). Non-linear regression was used to fit the Cf = e b.t model through the calculated Cf-data, where t is time in days since last tillage. Values for b were -0.0020 for the reconsolidating soil without cultivation and -0.0031 for the one with cultivation, yielding Cf-values equal to 0.16 and 0.06, respectively, after two-and-half years of tillage discontinuation, compared to 1.0 for fresh-tilled soil. These estimated Cf-values correspond, respectively, to soil loss reductions of 84 and 94 %, in relation to soil loss from the fresh-tilled soil, showing that the soil surface reconsolidated intenser with cultivation than without it. Two distinct treatmentinherent soil surface conditions probably influenced the rapid decay-rate of Cf values in this study, but, as a matter of a fact, they were part of the real environmental field conditions. Cf-factor curves presented in this paper are therefore useful for predicting erosion with RUSLE, but their application is restricted to situations where both soil type and particular soil surface condition are similar to the ones investigate in this study.

Impacto técnico e econômico das perdas de solo e nutrientes por erosão no cultivo da cana-de-açúcar

O objetivo geral foi demonstrar o impacto técnico e econômico das perdas de solo e nutrientes por erosão no cultivo da cana-de-açúcar. Propôs-se avaliar as perdas de nutrientes por erosão (P, K, Ca e Mg), o custo de reposição de nutrientes e o de produção da cana em dois sistemas de colheita (cana crua e queimada) em Catanduva - SP, em área de 100 ha para cada sistema, formadas e colhidas no mesmo período (2002 a 2007), com similaridade quanto ao tipo de solo, variedade, topografia e numero de cortes. A metodologia baseou-se na equação universal da perda de solos e teoria dos custos de produção e de reposição de nutrientes. A maior perda de solo e de nutrientes por erosão ocorreu nas áreas de cana queimada; a cana queimada (corte manual), na média dos cinco cortes, perde 48,82% por hectare a mais de solo, 56,45 % de potássio (K) e 60,78 % de fósforo (P) do que a cana crua (corte mecanizado); o custo de reposição de nutrientes, em média, na cana queimada (R$ 33,92 ha-1 ano-1), foi superior ao da cana crua (R$ 21,12 ha-1 ano-1); a cana crua apresentou menor custo de produção (R$ 29,60 Mg-1) quando comparado à cana queimada (R$ 32,71 Mg-1); a cana crua apresentou maior retorno médio (R$ 5,70 Mg-1ano-1) com relação à cana queimada (R$ 2,59 Mg-1).

Valoração econômica das perdas de nutrientes por erosão em cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização hidráulica do aspersor Super 10 e sua influência na energia cinética e erosividade

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

A high-resolution soil erosion risk map of Switzerland as strategic policy support system

Soil erosion models and soil erosion risk maps are often used as indicators to assess potential soil erosion in order to assist policy decisions. This paper shows the scientific basis of the soil erosion risk map of Switzerland and its application in policy and practice. Linking a USLE/RUSLE-based model approach (AVErosion) founded on multiple flow algorithms and the unit contributing area concept with an extremely precise and high-resolution digital terrain model (2 m × 2 m grid) using GIS allows for a realistic assessment of the potential soil erosion risk, on single plots, i.e. uniform and comprehensive for the agricultural area of Switzerland (862,579 ha in the valley area and the lower mountain regions). The national or small-scale soil erosion prognosis has thus reached a level heretofore possible only in smaller catchment areas or single plots. Validation was carried out using soil loss data from soil erosion damage mappings in the field from long-term monitoring in different test areas. 45% of the evaluated agricultural area of Switzerland was classified as low potential erosion risk, 12% as moderate potential erosion risk, and 43% as high potential erosion risk. However, many of the areas classified as high potential erosion risk are located at the transition from valley to mountain zone, where many areas are used as permanent grassland, which drastically lowers their current erosion risk. The present soil erosion risk map serves on the one hand to identify and prioritise the high-erosion risk areas, and on the other hand to promote awareness amongst farmers and authorities. It was published on the internet and will be made available to the authorities in digital form. It is intended as a tool for simplifying and standardising enforcement of the legal framework for soil erosion prevention in Switzerland. The work therefore provides a successful example of cooperation between science, policy and practice.

Análisis comparativo de la estimación de la erosión hídrica con la metodología USLE y las técnicas RS SIG. Aplicación al entorno del tramo medio de la cuenca del río Jarama (Guadalajara)

La erosión hídrica en España es un problema grave, por las consecuencias que comporta en términos de pérdida del recurso suelo, sobre el que se sustenta la vida. Desde la década de los años ochenta del pasado siglo, la Administración Central ha realizado dos inventarios de erosión del suelo a nivel nacional: Los Mapas de Estados Erosivos (MEEs) y el Inventario Nacional de Erosión del Suelo (INES). En la presente Tesis Doctoral se han abordado las siguientes cuestiones: - Se ha profundizado en el análisis y aplicación de nuevas herramientas en la estimación del factor topográfico y del factor vegetación, que intervienen en los modelos de cálculo de las pérdidas de suelo, para mejorar la precisión en los resultados de la estimación de las tasas de erosión con los mismos. - Se ha establecido un procedimiento que permita realizar un inventario continuo de los Estados Erosivos de España, fijando como premisa el tiempo para su actualización. La Tesis desarrolla un procedimiento que permite comprobar que, la precisión utilizada en la cartografía base para determinar el factor vegetación y el factor topográfico del modelo USLE, influye en los resultados de la estimación de las tasas de erosión. También se ha realizado un estudio multi-temporal, analizado cuatro períodos: desde 1982 a 2014, con el fin de investigar las posibilidades de implementar un inventario continuo de los Estados Erosivos a nivel nacional; utilizando sensores remotos y técnicas de teledetección como herramienta para la actualización de los usos del suelo, factor determinante para estudiar la evolución de las tasas de erosión a lo largo del tiempo. Los resultados obtenidos de las investigaciones mencionadas, se han aplicado al tramo medio de la cuenca del río Jarama en la provincia de Guadalajara y han permitido comprobar que, la precisión de los datos utilizados en la aplicación del modelo USLE, influyen de una forma determinante en la estimación de las tasas de erosión y, además, hacen posible que la metodología, propuesta en esta Tesis, contribuya a establecer un inventario continuo de la evolución de los Estados Erosivos en un espacio multitemporal y a nivel de escenarios que abarcan una gran superficie. Gracias a este inventario se ha podido aportar información de la evolución de la cubierta vegetal y las pérdidas de suelo en la zona de estudio en el período analizado 1984-2015. ABSTRACT Water erosion in Spain is a serious problem and the consequences in terms of loss of soil resources on which life is based. Since the early eighties of last century, the central government has made two inventories of soil erosion nationwide: Maps of Erosive States (MEES) and the National Inventory of Soil Erosion (INES). In this Doctoral Thesis we have addressed the following issues: - It has deepened in the analysis and implementation of new tools in estimating the topographic factor and vegetation factor involved in the calculation models of soil loss, to improve accuracy in the results of the estimation of rates erosion therewith. - It has established a procedure allowing a continuous inventory of Erosion States of Spain, setting premised time for update. The thesis develops a method that allows to check that the precision used in the base map to determine the vegetation factor and topographical factor USLE model, influences the results of estimating erosion rates. There has also develop a multi-temporal study analyzed four periods: from 1982-2014, in order to investigate the possibilities of implementing a continuous inventory of erosion states at national level; using remote sensing techniques as a tool for updating land use, determining to study the evolution of erosion rates along the time factor. The results of the investigations referred to, have been applied to area around the middle reach of the Jarama river basin in the province of Guadalajara and would have shown that the accuracy of the data used in the model application USLE influence of decisive way estimating erosion rates and also make it possible that the methodology proposed in this thesis, help establish a continuous inventory of the evolution of erosive states in a multi-temporal space and level scenarios covering a large area. Thanks to this inventory was it able to provide information on the evolution of the vegetation cover and soil loss in the study area in the analyzed period 1984-2015.

Land use/ land cover change and its impact on soil erosion process in Begnas Tal Rupa Tal watershed using geospatial tools, Kaski district, Nepal

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Soil, water and nutrient losses by interrill erosion from green cane cultivation

Interrill erosion occurs by the particle breakdown caused by raindrop impact, by particle transport in surface runoff, by dragging and suspension of particles disaggregated from the soil surface, thus removing organic matter and nutrients that are essential for agricultural production. Crop residues on the soil surface modify the characteristics of the runoff generated by rainfall and the consequent particle breakdown and sediment transport resulting from erosion. The objective of this study was to determine the minimum amount of mulch that must be maintained on the soil surface of a sugarcane plantation to reduce the soil, water and nutrient losses by decreasing interrill erosion. The study was conducted in Pradópolis, São Paulo State, in 0.5 x 1.0 m plots of an Oxisol, testing five treatments in four replications. The application rates were based on the crop residue production of the area of 1.4 kg m-2 (T1- no cane trash; T2-25 % of the cane trash; T3- 50 % trash; T4-75 % trash; T5-100 % sugarcane residues on the surface), and simulated rainfall was applied at an intensity of 65 mm h-1 for 60 min. Runoff samples were collected in plastic containers and soon after taken to the laboratory to quantify the losses of soil, water and nutrients. To minimize soil loss by interrill erosion, 75 % of the cane mulch must be maintained on the soil, to control water loss 50 % must be maintained and 25 % trash controls organic matter and nutrient losses. This information can contribute to optimize the use of this resource for soil conservation on the one hand and the production of clean energy in sugar and alcohol industries on the other.

Soil losses from typic cambisols and red latosol as related to three erosive rainfall patterns

Rainfall erosivity is one of the main factors related to water erosion in the tropics. This work focused on relating soil loss from a typic dystrophic Tb Haplic Cambisol (CXbd) and a typic dystrophic Red Latosol (LVdf) to different patterns of natural erosive rainfall. The experimental plots of approximately 26 m² (3 x 8.67 m) consisted of a CXbd area with a 0.15 m m-1 slope and a LVdf area with 0.12 m m-1 slope, both delimited by galvanized plates. Drainpipes were installed at the lower part of these plots to collect runoff, interconnected with a Geib or multislot divisor. To calculate erosivity (EI30), rainfall data, recorded continuously at a weather station in Lavras, were used. The data of erosive rainfall events were measured (10 mm precipitation intervals, accuracy 0.2 mm, 24 h period, 20 min intervals), characterized as rainfall events with more than 10 mm precipitation, maximum intensity > 24 mm h-1 within 15 min, or kinetic energy > 3.6 MJ, which were used in this study to calculate the rainfall erosivity parameter, were classified according to the moment of peak precipitation intensity in advanced, intermediate and delayed patterns. Among the 139 erosive rainfall events with CXbd soil loss, 60 % were attributed to the advanced pattern, with a loss of 415.9 Mg ha-1, and total losses of 776.0 Mg ha-1. As for the LVdf, of the 93 erosive rainfall events with soil loss, 58 % were listed in the advanced pattern, with 37.8 Mg ha-1 soil loss and 50.9 Mg ha-1 of total soil loss. The greatest soil losses were observed in the advanced rain pattern, especially for the CXbd. From the Cambisol, the soil loss per rainfall event was greatest for the advanced pattern, being influenced by the low soil permeability.