Ambient aerosols were collected during 2000–2001 in Gainesville, Florida, using a micro-orifice uniform deposit impactor (MOUDI)
to study mass size distribution and carbon composition. A bimodal mass distribution was found in every sample with major peaks
for aerosols ranging from 0.32 to 0.56 μm, and 3.2 to 5.6 μm in diameter. The two distributions represent the fine mode (<2.5 μm)
and the coarse mode (>2.5 μm) of particle size. Averaged over all sites and seasons, coarse particles consisted of 15% carbon
while fine particles consisted of 22% carbon. Considerable variation was noted between winter and summer seasons. Smoke from
fireplaces in winter appeared to be an important factor for the carbon, especially the elemental carbon contribution. In summer,
organic carbon was more abundant. The maximum secondary organic carbon was also found in this season (7.0 μg m−3), and the concentration is between those observed in urban areas (15–20 μg m−3) and in rural areas (4–5 μg m−3). However, unlike in large cities where photochemical activity of anthropogenic emissions are determinants of carbon composition,
biogenic sources were likely the key factor in Gainesville. Other critical factors that affect the distribution, shape and
concentration were precipitation, brushfire and wind. 相似文献
Previous work has shown that arsenic can accumulate in drinking water distribution system (DWDS) solids (Lytle et~al., 2004) when arsenic is present in the water. The release of arsenic back into the water through particulate transport and/or
chemical release (e.g. desorption, dissolution) could result in elevated arsenic levels at the consumers' tap. The primary
objective of this work was to examine the impact of pH and orthophosphate on the chemical release (i.e. desorption) of arsenic
from nine DWDS solids collected from utilities located in the Midwest. Arsenic release comparisons were based on the examination
of arsenic and other water quality parameters in leach water after contact with the solids over the course of 168~hours. Results
showed that arsenic was released from solids and suggested that arsenic release was a result of desorption rather than dissolution.
Arsenic release generally increased with increasing initial arsenic concentration in the solid and increasing pH levels (in
the test range of 7 to 9). Finally, orthophosphate (3 and 5 mg PO4/L) increased arsenic release at all pH values examined. Based on the study results, utilities with measurable levels of arsenic
present in their water should be aware that some water quality changes can cause arsenic release in the DWDS potentially resulting
in elevated levels at the consumer's tap. 相似文献
Iwao's quadratic regression or Taylor's Power Law (TPL) are commonly used to model the variance as a function of the mean for sample counts of insect populations which exhibit spatial aggregation. The modeled variance and distribution of the mean are typically used in pest management programs to decide if the population is above the action threshold in any management unit (MU) (e.g., orchard, forest compartment). For nested or multi-level sampling the usual two-stage modeling procedure first obtains the sample variance for each MU and sampling level using ANOVA and then fits a regression of variance on the mean for each level using either Iwao or TPL variance models. Here this approach is compared to the single-stage procedure of fitting a generalized linear mixed model (GLMM) directly to the count data with both approaches demonstrated using 2-level sampling. GLMMs and additive GLMMs (AGLMMs) with conditional Poisson variance function as well as the extension to the negative binomial are described. Generalization to more than two sampling levels is outlined. Formulae for calculating optimal relative sample sizes (ORSS) and the operating characteristic curve for the control decision are given for each model. The ORSS are independent of the mean in the case of the AGLMMs. The application described is estimation of the variance of the mean number of leaves per shoot occupied by immature stages of a defoliator of eucalypts, the Tasmanian Eucalyptus leaf beetle, based on a sample of trees within plots from each forest compartment. Historical population monitoring data were fitted using the above approaches. 相似文献
The horizontal distribution and quantitative characteristics of macrozoobenthos were studied in small lakes of the Darwin Nature Reserve (southern Vologda oblast). The aggregation index varied in the open areas of acid lakes, which indicated that communities of small acid water bodies were unstable. The aggregation was the lowest in the open area of a neutral lake. In acid lakes, the number and biomass of macroinvertebrates were the highest near the coasts. In the neutral lake, conversely, these values were maximum in open areas and low near the coast due to a strong pressure of predatory invertebrates and fish. An aggregating effect of invertebrate predators was observed near the coasts of lakes of different types. 相似文献
This paper examines the determinants of illegal waste dumping at the county level in Slovakia (in 77 of 79 counties), using a truncated regression model. It analyzes a unique data-set composed of illegal dumping data provided by the TrashOut platform and sociodemographic data from the national statistical authority.
This study shows that a higher level of expected overall waste production results in a higher rate of illegally dumped waste and a higher number of illegal dumping sites. More precisely, income has a positive impact on the rate of illegal waste dumping, poverty influences the rate of illegal dumping negatively and a higher level of education does not result in more responsible waste management. On the contrary, higher education has a positive influence on the rate of dumping. A negative relationship between costs of illegal waste disposal and dumping rate, as well as a positive relationship between costs of legal waste disposal and dumping rate has been revealed. 相似文献
Water supply reliability is expected to be affected by both precipitation amount and distribution changes under recent and future climate change. We compare historical (1951‐2010) changes in annual‐mean and annual‐maximum daily precipitation in the global set of station observations from Global Historical Climatology Network and climate models from the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP), and develop the study to 2011‐2099 for model projections under high radiative forcing scenario (RCP8.5). We develop a simple rainwater harvesting system (RWHS) model and drive it with observational and modeled precipitation. We study the changes in mean and maximum precipitation along with changes in the reliability of the model RWHS as tools to assess the impact of changes in precipitation amount and distribution on reliability of precipitation‐fed water supplies. Results show faster increase in observed maximum precipitation (10.14% per K global warming) than mean precipitation (7.64% per K), and increased reliability of the model RWHS driven by observed precipitation by an average of 0.2% per decade. The ISI‐MIP models show even faster increase in maximum precipitation compared to mean precipitation. However, they imply decreases in mean reliability, for an average 0.15% per decade. Compared to observations, climate models underestimate the increasing trends in mean and maximum precipitation and show the opposite direction of change in reliability of a model water supply system. 相似文献