503 research outputs found

    Harmful Algal Blooms: Dominance in Lakes and Risk for Cyanotoxin Exposure in Food Crops

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    Climate change and human activities are promoting the dominance of a photosynthetic family of aquatic bacteria, cyanobacteria. Blooms of cyanobacteria are not only a visual nuisance but can produce a variety of cyanotoxins than can harm the liver, skin, and nervous system of animals and humans. We analyzed lakes in the contiguous United States and found that between 2007 and 2012, the number of lakes that produced measurable quantities of cyanotoxins increased from 33% to 45%. Nitrogen and phosphorus pollution were the main drivers of cyanobacteria blooms and toxin production between these years. Many of these lakes and reservoirs are used for crop irrigation and more frequent and toxic cyanobacteria blooms intensifies the risk of human and animal exposure to cyanotoxins through the consumption of toxic plants. We assessed how three cyanotoxins are distributed between soil, irrigation water, and lettuce plants to evaluate the exposure risk that cyanotoxins in food pose to human health. We found soil to sorb between 12 to 52% of two cyanotoxins from water, which could temporarily prevent the toxins from being taken up by plant roots and deposited into edible tissue. Also, we grew lettuce plants in a greenhouse and irrigated them with cyanotoxins. Cyanotoxins did not affect plant growth, however, we were unable to quantify the concentration of the toxins in the lettuce due to analytical limitations or that the plants were unable to sorb the toxins. Lastly, we analyzed the results from 14 published research studies on cyanotoxins in food irrigated with contaminated water. We found significant relationships between cyanotoxin concentrations in the irrigation water and those measured in plant tissues. Generally, the more cyanotoxins in the irrigation water the more cyanotoxins are measured in plants. The increase in cyanotoxin producing blooms needs to be mitigated to reduce associated health and economic risks. Management and policies should be implemented that not only mitigate the drivers of cyanobacteria and their toxins but also places limits on the acceptable concentrations in irrigation water

    Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO

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    The Advanced LIGO detectors have recently completed their second observation run successfully. The run lasted for approximately 10 months and led to multiple new discoveries. The sensitivity to gravitational waves was partially limited by laser noise. Here, we utilize auxiliary sensors that witness these correlated noise sources, and use them for noise subtraction in the time domain data. This noise and line removal is particularly significant for the LIGO Hanford Observatory, where the improvement in sensitivity is greater than 20%. Consequently, we were also able to improve the astrophysical estimation for the location, masses, spins, and orbital parameters of the gravitational wave progenitors

    Sensitivity of the Advanced LIGO detectors at the beginning of gravitational wave astronomy

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    The Laser Interferometer Gravitational Wave Observatory (LIGO) consists of two widely separated 4 km laser interferometers designed to detect gravitational waves from distant astrophysical sources in the frequency range from 10 Hz to 10 kHz. The first observation run of the Advanced LIGO detectors started in September 2015 and ended in January 2016. A strain sensitivity of better than 10-23/Hz was achieved around 100 Hz. Understanding both the fundamental and the technical noise sources was critical for increasing the astrophysical strain sensitivity. The average distance at which coalescing binary black hole systems with individual masses of 30 M could be detected above a signal-to-noise ratio (SNR) of 8 was 1.3 Gpc, and the range for binary neutron star inspirals was about 75 Mpc. With respect to the initial detectors, the observable volume of the Universe increased by a factor 69 and 43, respectively. These improvements helped Advanced LIGO to detect the gravitational wave signal from the binary black hole coalescence, known as GW150914
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