956 resultados para Watershed transform
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Intensification of agricultural production without a sound management and regulations can lead to severe environmental problems, as in Western Santa Catarina State, Brazil, where intensive swine production has caused large accumulations of manure and consequently water pollution. Natural resource scientists are asked by decision-makers for advice on management and regulatory decisions. Distributed environmental models are useful tools, since they can be used to explore consequences of various management practices. However, in many areas of the world, quantitative data for model calibration and validation are lacking. The data-intensive distributed environmental model AgNPS was applied in a data-poor environment, the upper catchment (2,520 ha) of the Ariranhazinho River, near the city of Seara, in Santa Catarina State. Steps included data preparation, cell size selection, sensitivity analysis, model calibration and application to different management scenarios. The model was calibrated based on a best guess for model parameters and on a pragmatic sensitivity analysis. The parameters were adjusted to match model outputs (runoff volume, peak runoff rate and sediment concentration) closely with the sparse observed data. A modelling grid cell resolution of 150 m adduced appropriate and computer-fit results. The rainfall runoff response of the AgNPS model was calibrated using three separate rainfall ranges (< 25, 25-60, > 60 mm). Predicted sediment concentrations were consistently six to ten times higher than observed, probably due to sediment trapping along vegetated channel banks. Predicted N and P concentrations in stream water ranged from just below to well above regulatory norms. Expert knowledge of the area, in addition to experience reported in the literature, was able to compensate in part for limited calibration data. Several scenarios (actual, recommended and excessive manure applications, and point source pollution from swine operations) could be compared by the model, using a relative ranking rather than quantitative predictions.
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Knowledge on the factors influencing water erosion is fundamental for the choice of the best land use practices. Rainfall, expressed by rainfall erosivity, is one of the most important factors of water erosion. The objective of this study was to determine rainfall erosivity and the return period of rainfall in the Coastal Plains region, near Aracruz, a town in the state of Espírito Santo, Brazil, based on available data. Rainfall erosivity was calculated based on historic rainfall data, collected from January 1998 to July 2004 at 5 min intervals, by automatic weather stations of the Aracruz Cellulose S.A company. A linear regression with individual rainfall and erosivity data was fit to obtain an equation that allowed data extrapolation to calculate individual erosivity for a 30-year period. Based on this data the annual average rainfall erosivity in Aracruz was 8,536 MJ mm ha-1 h-1 yr-1. Of the total annual rainfall erosivity 85 % was observed in the most critical period October to March. Annual erosive rains accounted for 38 % of the events causing erosion, although the runoff volume represented 88 % of the total. The annual average rainfall erosivity return period was estimated to be 3.4 years.
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Mathematical models have great potential to support land use planning, with the goal of improving water and land quality. Before using a model, however, the model must demonstrate that it can correctly simulate the hydrological and erosive processes of a given site. The SWAT model (Soil and Water Assessment Tool) was developed in the United States to evaluate the effects of conservation agriculture on hydrological processes and water quality at the watershed scale. This model was initially proposed for use without calibration, which would eliminate the need for measured hydro-sedimentologic data. In this study, the SWAT model was evaluated in a small rural watershed (1.19 km²) located on the basalt slopes of the state of Rio Grande do Sul in southern Brazil, where farmers have been using cover crops associated with minimum tillage to control soil erosion. Values simulated by the model were compared with measured hydro-sedimentological data. Results for surface and total runoff on a daily basis were considered unsatisfactory (Nash-Sutcliffe efficiency coefficient - NSE < 0.5). However simulation results on monthly and annual scales were significantly better. With regard to the erosion process, the simulated sediment yields for all years of the study were unsatisfactory in comparison with the observed values on a daily and monthly basis (NSE values < -6), and overestimated the annual sediment yield by more than 100 %.
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We propose a method to obtain a single centered correlation with use of a joint transform correlator. We analyze the required setup to carry out the whole process optically, and we also present experimental results.
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It is possible to improve the fringe binarization method of joint transform correlation by choosing a suitable threshold level.
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In multiobject pattern recognition the height of the correlation peaks should be controlled when the power spectrum of ajoint transform correlator is binarized. In this paper a method to predetermine the value of detection peaks is demonstrated. The technique is based on a frequency-variant threshold in order to remove the intraclass terms and on a suitable factor to normalize the binary joint power spectrum. Digital simulations and experimental hybrid implementation of this method were carried out.
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The use of different kinds of nonlinear filtering in a joint transform correlator are studied and compared. The study is divided into two parts, one corresponding to object space and the second to the Fourier domain of the joint power spectrum. In the first part, phase and inverse filters are computed; their inverse Fourier transforms are also computed, thereby becoming the reference in the object space. In the Fourier space, the binarization of the power spectrum is realized and compared with a new procedure for removing the spatial envelope. All cases are simulated and experimentally implemented by a compact joint transform correlator.
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We report the study of the influence of optical aberrations in a joint-transform correlator: The wave aberration of the optical system is computed from data obtained by ray tracing. Three situations are explored: We consider the aberration only in the first diffraction stage (generation of power spectrum), then only in the second (transformation of the power spectrum into correlation), and finally in both stages simultaneously. The results show that the quality of the correlation is determined mostly by the aberrations of the first diffraction stage and that we can optimize the setup by moving the cameras along the optical axis to a suitable position. The good agreement between the predicted data and the experimental results shows that the method explains well the behavior of optical diffraction systems when aberrations are taken into account.
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The Brazilian East coast was intensely affected by deforestation, which drastically cut back the original biome. The possible impacts of this process on water resources are still unknown. The purpose of this study was an evaluation of the impacts of deforestation on the main water balance components of the Galo creek watershed, in the State of Espírito Santo, on the East coast of Brazil. Considering the real conditions of the watershed, the SWAT model was calibrated with data from 1997 to 2000 and validated for the period between 2001 and 2003. The calibration and validation processes were evaluated by the Nash-Sutcliffe efficiency coefficient and by the statistical parameters (determination coefficient, slope coefficient and F test) of the regression model adjusted for estimated and measured flow data. After calibration and validation of the model, new simulations were carried out for three different land use scenarios: a scenario in compliance with the law (C1), assuming the preservation of PPAs (permanent preservation areas); an optimistic scenario (C2), which considers the watershed to be almost entirely covered by native vegetation; and a pessimistic scenario (C3), in which the watershed would be almost entirely covered by pasture. The scenarios C1, C2 and C3 represent a soil cover of native forest of 76, 97 and 0 %, respectively. The results were compared with the simulation, considering the real scenario (C0) with 54 % forest cover. The Nash-Sutcliffe coefficients were 0.65 and 0.70 for calibration and validation, respectively, indicating satisfactory results in the flow simulation. A mean reduction of 10 % of the native forest cover would cause a mean annual increase of approximately 11.5 mm in total runoff at the watershed outlet. Reforestation would ensure minimum flows in the dry period and regulate the maximum flow of the main watercourse of the watershed.
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This factsheet gives a short presentation of a case study conducted in Lombok Island (Indonesia). In 6 pages, it focuses on the complexity of PES scheme embedment in public policies. This factsheet describes and explicitly distinguishes three PES initiatives, and explain the reasons for such an evolution in the design of policy instruments aimed at protecting groundwater resources. The results presented have previously been published in an Working Paper: de Buren G., 2013. La régulation des interdépendances entre la forêt et l'eau potable en Indonésie; études de cas sur le site de Lombok. (1/2013) 369 p., idheap.
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This article summarizes the basic principles of Fourier Transform Infrared Spectroscopy, with examples of methodologies and applications to different field sciences.
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The Duck Creek Watershed, the recipient of a 2009 DNR Watershed Management Planning Grant and a focus of an upcoming City of Davenport master plan, is characterized by relatively flat grades and highly impervious areas. Plagued by issues such as high bacteria loads, stream bank erosion and flooding, solving these problems may take generations. The City of Davenport has taken a microwatershed approach to identify the significant contributors to water quality and flooding issues that affect Duck Creek, its tributaries and the surrounding landscape to make inroads into the larger issues. This project is the next phase of a multi-phased project that addresses the microwatershed that includes St Ambrose University. Work here will improve water quality within Duck Creek and address major flooding issues on campus while also reducing downstream flooding. This project will convert an existing parking lot into a green parking area by removing the hard surface and installing below ground facilities for storm water infiltration, detention, and reuse. Permeable pavement, bio swales and infiltration areas will be constructed on top of the infiltration facilities. We estimate that this project will capture and treat 1,110,000 gallons (3.5 acre feet) of storm water runoff which accounts to the runoff volume from a 10-year storm event while reducing pollutants by 30-100%.
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Silver Creek is a warm water stream resource located in one of the most intensely cropped portions of Clayton County. The stream has been included on Iowa’s 303(d) list of impaired waters since 2002. Aquatic life, which should be present in Silver Creek, isn’t there. According to the Draft Total Maximum Daily Load (TMDL) for Silver Creek, the primary nonpoint pollution sources are soil erosion from agricultural land uses and direct deposition of ammonia by livestock with access to the stream. The Clayton Soil & Water Conservation District has begun efforts to remove Silver Creek from the impaired waters list. The District has promoted stream corridor and sinkhole protection, and the installation of buffer practices along Silver Creek and its tributaries. Conservation practices have been targeted to crop fields to reduce sediment delivery to the stream. A series of news articles, newsletters, and field days have been utilized to increase public understanding of water quality issues. Landowner interest has outweighed available cost share resources. Additional financial support will allow the project to build upon its early successes, to further address the identified impairments, and to respond to a long list of landowners that are interested in conservation work on their farms.
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River Action is requesting funds for a project that offers design, technical and financial assistance to residential and commercial landowners and municipalities for the installation of buffers along Duck Creek and its tributaries. The buffers will improve water quality, reduce erosion on stream banks and provide habitat for wildlife. The projects will be planned and implemented through public meetings and educational workshops. This method of community involvement will increase awareness and education concerning the impairments in Duck Creek in Davenport and Bettendorf in Scott County, Iowa and promote personal responsibility and stewardship of watersheds.