1000 resultados para Amazon river


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Controlling and managing manure-contaminated runoff is a responsibility of every livestock producer. The minimum requirement of all confined feeding operations in Iowa, regardless of size, is to settle solids. Two separate watershed assessments conducted in 2003-2004 by the Lyon SWCD of 141 feedlot sites indicated only 29% have solid settling basins in place. Regulating agencies generally recommend a holding pond followed by irrigation land application which require large capital investments, specialized machinery and additional management skill sets. Producers are looking for more cost-effective alternatives for controlling feedlot runoff and regulating agencies need to know these alternatives will protect the environment.

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Two sections of the Yellow River have been named to the State of Iowa’s 303d list of impaired waters. The listing reflects streams with pollution problems linked to habitat alterations, in addition to those with potential disease causing bacteria, viruses and parasites. This fact, combined with local knowledge of water quality problems, shows the need for land treatment practices and habitat improvement measures. This project would target the Yellow River watershed, which totals approximately 49,800 acres. Areas that drain directly into the Yellow River mainstream will be targeted. Individually, these areas are too small to be considered sub-watersheds. This project will assess the drainage areas for active gullies and prioritize grade stabilization structures based upon severity and impact on the fishery. Funding would be utilized to target high priority grade stabilization structure sites and provide cost-share for those projects. A prerequisite for cost-share allocation is 75% of the land contributing to the drainage area must have some form of treatment in place. The Allamakee SWCD has received an EPA Region 7 Grant toward grade stabilization structures in the same area. Landowners have indicated that 75% cost-share is necessary to implement practices. To meet this request, the EPA funding would be used at a 15% cost-share rate if matched with 60% cost-share from WIRB funding. If matched with Federal EQIP funds, 25% of funds obtained from WIRB would be used. If other funds were depleted, WIRB funds would be utilized for the entire 75% cost-share.

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An overall effort has been initiated to improve the quality of the Yellow River in Northeast Iowa by reducing the amount of sediment and bacteria entering the stream. Funding for this project will be utilized to improve stream quality to the level of fully supporting game fish such as brown, rainbow and brook trout, walleye, northern pike and smallmouth bass. The Yellow River has the potential to be one of the top trout streams, not only in Iowa, but in the entire Upper Midwest. This project will greatly enhance recreational activities such as fishing, canoeing and inner tubing and will greatly increase tourism dollars to the state. The project will specifically address two sources of impairment: stream bank erosion and coliform bacteria from both livestock and inadequate human septic systems.

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The Watershed Improvement Review Board (WIRB) Grant will be used to enhance an on-going water quality project in Elk River Watershed. A targeted, locally controlled project has been active in the watershed since 2001. Current funding is being received primarily from the EPA-319 program, administrated by IDNR and the Watershed Protection Fund (WSPF) administrated by IDALS-DSC. Substantial funding is also obtained from the yearly county allocation of the Environmental Quality Incentive Program (EQIP) administrated by the USDA-NRCS. The overall objective of the Elk River Water Quality Project is to improve and restore the water quality in this water body by keying in on the potential sources of the identified impairments, and forging a working partnership between the local residents and the conservation agencies and organizations involved in the project. The major potential sources of the known surface water quality problems were identified during the assessment process and pointed to feedlot runoff and sediment delivery from within priority sub-watersheds. WIRB Funds will be used to cost share the application of Best Management Practices, thus reducing the projects dependency on federal funds. Funds will also be used to overcome a project’s limiting factor associated with insufficient technical assistance.

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With WIRB funding the Fox River Ecosystem Development board will continue to install prioritized practices identified by assessments within the impaired segment of Fox River. The FRED board is also asking to continue funding for a new 5 year position for assessment, planning and technical assistance. With new assessments and water quality monitoring already being done on the impaired segment of the Fox River a lot of valuable information is at hand. Ecosystem Development board is requesting funding from WIRB to install grade stabilization structures, water sediment basins, and terraces to reduce sediment delivery to Fox River. The FRED board in both Iowa and Missouri are committed not only to seek funding to continue water quality efforts for more practices but also to enhance and protect existing practices and investments that protect our water quality and economic viability in both states. We are off to a good start and want to continue our progress on the Fox River.

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Summary of Project AWARE on the Wapsipinicon River in 2015.Project AWARE is a volunteer river cleanup event.

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This paper focuses on the analysis of a judicial defixio (AIJ557) found in 1912 in the River Kupa, a tributary of the Save, near Sisak (Siscia, Pannonia Superior), that invokes the river god Savus, as well as the ancient Latin goddess Tacita Muta. Among the targets, some of whom are specially stated to come from the western Mediterranean, we pay special attention to Lucius Licinius Sura, Hispanus. We also investigate the religious horizon implicit in the ritual offering, as well as the social and historical context of the information.

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Flood-elevation profiles and flood-peak discharges for floods during 1972, 1982, and 1987 in the Nishnabotna River basin are given in the report. The profiles are for the 1972 flood on the West and East Nishnabotna Rivers, the 1982 flood on Indian Creek, and the 1987 flood on the lower West Nishnabotna River. A flood history describes rainfall conditions and reported damages for floods occurring 1947, 1958, 1972, 1982, and 1987. Discharge for the 1982 flood on Indian Creek is 1.1 times larger than the 100-year recurrence interval discharge.

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The objective of this work was to parameterize, calibrate, and validate a new version of the soybean growth and yield model developed by Sinclair, under natural field conditions in northeastern Amazon. The meteorological data and the values of soybean growth and leaf area were obtained from an agrometeorological experiment carried out in Paragominas, PA, Brazil, from 2006 to 2009. The climatic conditions during the experiment were very distinct, with a slight reduction in rainfall in 2007, due to the El Niño phenomenon. There was a reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the model. The simulation of the LAI had root mean square error (RMSE) of 0.55 to 0.82 m² m-2, from 2006 to 2009. The simulation of soybean yield for independent data showed a RMSE of 198 kg ha-1, i.e., an overestimation of 3%. The model was calibrated and validated for Amazonian climatic conditions, and can contribute positively to the improvement of the simulations of the impacts of land use change in the Amazon region. The modified version of the Sinclair model is able to adequately simulate leaf area formation, total biomass, and soybean yield, under northeastern Amazon climatic conditions.

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Numerous measurements by XRD of the Scherrer width at half-peak height (001 reflection of illite), coupled with analyses of clay-size assemblages, provide evidence for strong variations in the conditions of low temperature metamorphism in the Tethyan Himalaya metasediments between the Spiti river and the Tso Morari. Three sectors can be distinguished along the Spiti river-Tso Morari transect. In the SW, the Takling and Parang La area is characterised by a metamorphism around anchizone-epizone boundary conditions. Further north, in the Dutung area, the metamorphic grade abruptly decreases to weak diagenesis, with the presence of mixed-layered clay phases. At the end of the profile towards the NE, a progressive metamorphic increase up to greenschist facies is recorded, marked by the appearance of biotite and chloritoid. The combination of these data with the structural. observations permits to propose that a nappe stack has been crosscut by the younger Dutung-Thaktote extensional fault zone (DTFZ). The change in metamorphism across this zone helps to assess the displacements which occurred during synorogenic extension. In the SW and NE parts of the studied transect, a burial of 12 km has been estimated, assuming a geothermal gradient of 25 degrees C/km. In the SW part, this burial is due to the juxtaposition of the Shikar Beh and Mata nappes and in the NE part, solely to burial beneath the Mata nappe. In the central part of the profile, the effect of the DTFZ is to bring down diagenetic sediments in-between the two aforesaid metamorphic zones. The offset along the Dutung-Thaktote normal faults is estimated at 16 km.

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The hydrogeological properties and responses of a productive aquifer in northeastern Switzerland are investigated. For this purpose, 3D crosshole electrical resistivity tomography (ERT) is used to define the main lithological structures within the aquifer (through static inversion) and to monitor the water infiltration from an adjacent river. During precipitation events and subsequent river flooding, the river water resistivity increases. As a consequence, the electrical characteristics of the infiltrating water can be used as a natural tracer to delineate preferential flow paths and flow velocities. The focus is primarily on the experiment installation, data collection strategy, and the structural characterization of the site and a brief overview of the ERT monitoring results. The monitoring system comprises 18 boreholes each equipped with 10 electrodes straddling the entire thickness of the gravel aquifer. A multi-channel resistivity system programmed to cycle through various four-point electrode configurations of the 180 electrodes in a rolling sequence allows for the measurement of approximately 15,500 apparent resistivity values every 7 h on a continuous basis. The 3D static ERT inversion of data acquired under stable hydrological conditions provides a base model for future time-lapse inversion studies and the means to investigate the resolving capability of our acquisition scheme. In particular, it enables definition of the main lithological structures within the aquifer. The final ERT static model delineates a relatively high-resistivity, low-porosity, intermediate-depth layer throughout the investigated aquifer volume that is consistent with results from well logging and seismic and radar tomography models. The next step will be to define and implement an appropriate time-lapse ERT inversion scheme using the river water as a natural tracer. The main challenge will be to separate the superposed time-varying effects of water table height, temperature, and salinity variations associated with the infiltrating water.

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Methods used to analyze one type of nonstationary stochastic processes?the periodically correlated process?are considered. Two methods of one-step-forward prediction of periodically correlated time series are examined. One-step-forward predictions made in accordance with an autoregression model and a model of an artificial neural network with one latent neuron layer and with an adaptation mechanism of network parameters in a moving time window were compared in terms of efficiency. The comparison showed that, in the case of prediction for one time step for time series of mean monthly water discharge, the simpler autoregression model is more efficient.

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Over the past two decades, several fungal outbreaks have occurred, including the high-profile 'Vancouver Island' and 'Pacific Northwest' outbreaks, caused by Cryptococcus gattii, which has affected hundreds of otherwise healthy humans and animals. Over the same time period, C. gattii was the cause of several additional case clusters at localities outside of the tropical and subtropical climate zones where the species normally occurs. In every case, the causative agent belongs to a previously rare genotype of C. gattii called AFLP6/VGII, but the origin of the outbreak clades remains enigmatic. Here we used phylogenetic and recombination analyses, based on AFLP and multiple MLST datasets, and coalescence gene genealogy to demonstrate that these outbreaks have arisen from a highly-recombining C. gattii population in the native rainforest of Northern Brazil. Thus the modern virulent C. gattii AFLP6/VGII outbreak lineages derived from mating events in South America and then dispersed to temperate regions where they cause serious infections in humans and animals.

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Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment and limitations of remote sensing data per se. This paper reviews experiments related to land use/cover classification in the Brazilian Amazon for a decade. Through comprehensive analysis of the classification results, it is concluded that spatial information inherent in remote sensing data plays an essential role in improving land use/cover classification. Incorporation of suitable textural images into multispectral bands and use of segmentation‑based method are valuable ways to improve land use/cover classification, especially for high spatial resolution images. Data fusion of multi‑resolution images within optical sensor data is vital for visual interpretation, but may not improve classification performance. In contrast, integration of optical and radar data did improve classification performance when the proper data fusion method was used. Among the classification algorithms available, the maximum likelihood classifier is still an important method for providing reasonably good accuracy, but nonparametric algorithms, such as classification tree analysis, have the potential to provide better results. However, they often require more time to achieve parametric optimization. Proper use of hierarchical‑based methods is fundamental for developing accurate land use/cover classification, mainly from historical remotely sensed data.

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Debat a l'Internauta, el primer programa de ràdio del país sobre la xarxa, una col·laboració entre la UOC i Vilaweb. Fa menys d'una setmana que es va confirmar la notícia: la plataforma de comerç electrònic més potent de la xarxa, Amazon, va obrir dimecres de la setmana passada la filial ibèrica. Amazon és actualment el portal de venda en línia més important i divers, amb un catàleg de milions de llibres impresos i electrònics, a més d'un gavadal de productes com ara compactes, DVD, jocs, aparells d'electrònica de consum i, fins i tot, roba, alimentació i mobiliari. De moment, Amazon.es ha aterrat a casa nostra amb una oferta de productes físics, entre els quals hi ha cinquanta mil llibres impresos en català, però obre tantes oportunitats com interrogants. Com afectarà les llibreries convencionals? Tindran mercat ara plataformes de llibre digital més modestes? Estimularà el negoci del llibre electrònic? Facilitarà l'autoedició de llibres? Farà créixer el nombre de lectors en català? En parlem amb Enric Faura, de la plataforma Edi.cat, i amb l'expert Pep Torn, director de l'àrea de Biblioteca i Recursos Documentals de la UOC.