44 research outputs found
METODOLOGIE DI ANALISI DEL PAESAGGIO NELLA VALUTAZIONE DELLâETEROGENEITĂ STRUTTURALE NEI REEF A VERMETI
Landscape ecology is a discipline that uses many indices to describe environmental dynamics as a function of structural patch organization. Application of landscape ecology methods can be a way to evaluate heterogeneity and fragmentation of a habitat. Landscape indices were applied to evaluate if the algal heterogeneity of a vermetid reef can be related to the reef structure. Results show that heterogeneity is independent from reef width, but algal patches are wider and less abundant in a large cuvette and less wide but in higher number in small cuvette
Primary emissions of glyoxal and methylglyoxal from laboratory measurements of open biomass burning
We report the emissions of glyoxal and methylglyoxal from the open burning of
biomass during the NOAA-led 2016 FIREX intensive at the Fire Sciences
Laboratory in Missoula, MT. Both compounds were measured using cavity-enhanced spectroscopy, which is both more sensitive and more selective than
methods previously used to determine emissions of these two compounds. A
total of 75 burns were conducted, using 33 different fuels in 8 different
categories, providing a far more comprehensive dataset for emissions than was
previously available. Measurements of methylglyoxal using our instrument
suffer from spectral interferences from several other species, and the values
reported here are likely underestimates, possibly by as much as 70 %.
Methylglyoxal emissions were 2â3 times higher than glyoxal emissions on a
molar basis, in contrast to previous studies that report methylglyoxal
emissions lower than glyoxal emissions. Methylglyoxal emission ratios for all
fuels averaged 3.6±2.4 ppbv methylglyoxal (ppmv CO)â1, while emission
factors averaged 0.66±0.50 g methylglyoxal (kg fuel burned)â1. Primary
emissions of glyoxal from biomass burning were much lower than previous
laboratory measurements but consistent with recent measurements from
aircraft. Glyoxal emission ratios for all fuels averaged 1.4±0.7 ppbv glyoxal (ppmv CO)â1, while
emission factors averaged 0.20±0.12 g glyoxal (kg fuel burned)â1, values that are at least a factor of 4 lower than
assumed in previous estimates of the global glyoxal budget. While there was
significant variability in the glyoxal emission ratios and factors between
the different fuel groups, glyoxal and formaldehyde were highly correlated
during the course of any given fire, and the ratio of glyoxal to
formaldehyde, RGF, was consistent across many different fuel
types, with an average value of 0.068±0.018. While RGF values
for fresh emissions were consistent across many fuel types, further work is
required to determine how this value changes as the emissions age.</p
Reactive nitrogen partitioning and its relationship to winter ozone events in Utah
High wintertime ozone levels have been observed in the Uintah Basin, Utah, a
sparsely populated rural region with intensive oil and gas operations. The
reactive nitrogen budget plays an important role in tropospheric ozone
formation. Measurements were taken during three field campaigns in the
winters of 2012, 2013 and 2014, which experienced varying climatic
conditions. Average concentrations of ozone and total reactive nitrogen were
observed to be 2.5 times higher in 2013 than 2012, with 2014 an intermediate
year in most respects. However, photochemically active NO<sub><i>x</i></sub>
(NOâŻ+âŻNO<sub>2</sub>) remained remarkably similar all three years. Nitric acid
comprised roughly half of NO<sub><i>z</i></sub> (ââĄââŻNO<sub><i>y</i></sub>âŻââŻNO<sub><i>x</i></sub>) in 2013,
with nighttime nitric acid formation through heterogeneous uptake of
N<sub>2</sub>O<sub>5</sub> contributing approximately 6 times more than daytime formation. In
2012, N<sub>2</sub>O<sub>5</sub> and ClNO<sub>2</sub> were larger components of NO<sub><i>z</i></sub> relative to
HNO<sub>3</sub>. The nighttime N<sub>2</sub>O<sub>5</sub> lifetime between the high-ozone year 2013
and the low-ozone year 2012 is lower by a factor of 2.6, and much of this is
due to higher aerosol surface area in the high-ozone year of 2013. A
box-model simulation supports the importance of nighttime chemistry on the
reactive nitrogen budget, showing a large sensitivity of NO<sub><i>x</i></sub> and ozone
concentrations to nighttime processes
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Nighttime chemical transformation in biomass burning plumes : A box model analysis initialized with aircraft observations
Biomass burning (BB) is a large source of reactive compounds in the atmosphere. While the daytime photochemistry of BB emissions has been studied in some detail, there has been little focus on nighttime reactions despite the potential for substantial oxidative and heterogeneous chemistry. Here, we present the first analysis of nighttime aircraft intercepts of agricultural BB plumes using observations from the NOAA WP-3D aircraft during the 2013 Southeast Nexus (SENEX) campaign. We use these observations in conjunction with detailed chemical box modeling to investigate the formation and fate of oxidants (NO3, N2O5, O3, and OH) and BB volatile organic compounds (BBVOCs), using emissions representative of agricultural burns (rice straw) and western wildfires (ponderosa pine). Field observations suggest NO3 production was approximately 1 ppbv hrâ1, while NO3 and N2O5 were at or below 3 pptv, indicating rapid NO3/N2O5 reactivity. Model analysis shows that >99% of NO3/N2O5 loss is due to BBVOC + NO3 reactions rather than aerosol uptake of N2O5. Nighttime BBVOC oxidation for rice straw and ponderosa pine fires is dominated by NO3 (72, 53%, respectively) but O3 oxidation is significant (25, 43%), leading to roughly 55% overnight depletion of the most reactive BBVOCs and NO2
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
Biomass burning is a large source of volatile organic compounds
(VOCs) and many other trace species to the atmosphere, which can act as
precursors to secondary pollutants such as ozone and fine particles.
Measurements performed with a proton-transfer-reaction time-of-flight mass
spectrometer during the FIREX 2016 laboratory intensive were analyzed with
positive matrix factorization (PMF), in order to understand the
instantaneous variability in VOC emissions from biomass burning, and to
simplify the description of these types of emissions. Despite the complexity
and variability of emissions, we found that a solution including just two
emission profiles, which are mass spectral representations of the relative
abundances of emitted VOCs, explained on average 85âŻ% of the VOC emissions
across various fuels representative of the western US (including various
coniferous and chaparral fuels). In addition, the profiles were remarkably
similar across almost all of the fuel types tested. For example, the
correlation coefficient r2 of each profile between ponderosa pine
(coniferous tree) and manzanita (chaparral) is higher than 0.84. The
compositional differences between the two VOC profiles appear to be related
to differences in pyrolysis processes of fuel biopolymers at high and low
temperatures. These pyrolysis processes are thought to be the main source of
VOC emissions. High-temperature and low-temperature pyrolysis
processes do not correspond exactly to the commonly used flaming and
smoldering categories as described by modified combustion efficiency
(MCE). The average atmospheric properties (e.g., OH reactivity, volatility,
etc) of the high- and low-temperature profiles are significantly different.
We also found that the two VOC profiles can describe previously reported VOC
data for laboratory and field burns.</p
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Reactive nitrogen partitioning and its relationship to winter ozone events in Utah
High wintertime ozone levels have been observed in the Uintah Basin, Utah, a sparsely populated rural region with intensive oil and gas operations. The reactive nitrogen budget plays an important role in tropospheric ozone formation. Measurements were taken during three field campaigns in the winters of 2012, 2013 and 2014, which experienced varying climatic conditions. Average concentrations of ozone and total reactive nitrogen were observed to be 2.5 times higher in 2013 than 2012, with 2014 an intermediate year in most respects. However, photochemically active NOx (NO + NO2) remained remarkably similar all three years. Nitric acid comprised roughly half of NOz (ââĄâ NOy â NOx) in 2013, with nighttime nitric acid formation through heterogeneous uptake of N2O5 contributing approximately 6 times more than daytime formation. In 2012, N2O5 and ClNO2 were larger components of NOz relative to HNO3. The nighttime N2O5 lifetime between the high-ozone year 2013 and the low-ozone year 2012 is lower by a factor of 2.6, and much of this is due to higher aerosol surface area in the high-ozone year of 2013. A box-model simulation supports the importance of nighttime chemistry on the reactive nitrogen budget, showing a large sensitivity of NOx and ozone concentrations to nighttime processes
Type 2 diabetes mellitus and efficacy outcomes from imune checkpoint blockade in patients with cancer
Purpose: No evidence exists as to whether type 2 diabetes mellitus (T2DM) impairs clinical outcome from immune checkpoint inhibitors (ICI) in patients with solid tumors. Experimental Design: In a large cohort of ICI recipients treated at 21 institutions from June 2014 to June 2020, we studied whether patients on glucose-lowering medications (GLM) for T2DM had shorter overall survival (OS) and progression-free survival (PFS). We used targeted transcriptomics in a subset of patients to explore differences in the tumor microenvironment (TME) of patients with or without diabetes. Results: A total of 1,395 patients were included. Primary tumors included nonâsmall cell lung cancer (NSCLC; 54.7%), melanoma (24.7%), renal cell (15.0%), and other carcinomas (5.6%). After multivariable analysis, patients on GLM (n = 226, 16.2%) displayed an increased risk of death [HR, 1.29; 95% confidence interval (CI),1.07â1.56] and disease progression/death (HR, 1.21; 95% CI, 1.03â1.43) independent of number of GLM received. We matched 92 metformin-exposed patients with 363 controls and 78 patients on other oral GLM or insulin with 299 control patients. Exposure to metformin, but not other GLM, was associated with an increased risk of death (HR, 1.53; 95% CI, 1.16â2.03) and disease progression/ death (HR, 1.34; 95% CI, 1.04â1.72). Patients with T2DM with higher pretreatment glycemia had higher neutrophil-to-lymphocyte ratio (P = 0.04), while exploratory tumoral transcriptomic profiling in a subset of patients (n = 22) revealed differential regulation of innate and adaptive immune pathways in patients with T2DM. Conclusions: In this study, patients on GLM experienced worse outcomes from immunotherapy, independent of baseline features. Prospective studies are warranted to clarify the relative impact of metformin over a preexisting diagnosis of T2DM in influencing poorer outcomes in this population
The Molecular Identification of Organic Compounds in the Atmosphere: State of the Art and Challenges
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Measurement of NO3 and N2O5 in a Residential Kitchen
We present direct indoor measurements of the nitrate radical (NO ) and dinitrogen pentoxide (N O ) produced from combustion cooking emissions in a residential kitchen. When the indoor ozone (O ) concentration was low (âŒ4 ppbv), nitric oxide (NO) emitted from gas stove combustion suppressed NO formation. However, at moderate O levels (âŒ40 ppbv), measured NO concentrations reached 3-4 pptv, and the indoor NO reactivity loss rate coefficient reached 0.8 s . A box model of known chemistry agrees with the reactivity estimate and shows that moderate O levels led to a nitrate radical production rate of 7 ppbv h . These indoor NO production rates and reactivities are much higher than those typically found outdoors. We conclude that at low O levels indoor combustion suppresses nitrate radical chemistry, but when sufficient O enters residences from outdoors or is emitted directly from indoor sources, gas stove combustion emissions promote indoor NO chemistry. 3 2 5 3 3 3 3 3 3 3 3 3 3 -1 -