Application of spectral analysis to stream and estuary field surveys : I. Individual power spectra /

Wastler, T. A.

doi:10.5962/bhl.title.147075

Cited by 10 publications

(2 citation statements)

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“…With the exception of the traffic data, all showed significant spectral power at low frequency resulting from a combination of annual periodicities, linear trends, and low-frequency noise resulting from the finite length of the time series (Brittain et al, 2007; Hall et al, 2000). In general, the time series should be at least 10 times longer than the longest periodicity of interest (Wastler, 1963). Therefore, even the annual periodicity observed in the 4.5 years of bulk speciation data will be influenced by low-frequency artifacts.…”

Section: Resultsmentioning

confidence: 99%

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

Dutton

Rajagopalan

Vedal

et al. 2010

Atmospheric Environment

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Airborne particulate matter less than 2.5 μm in aerodynamic diameter (PM2.5) has been linked to a wide range of adverse health effects and as a result is currently regulated by the U.S. Environmental Protection Agency. PM2.5 originates from a multitude of sources and has heterogeneous physical and chemical characteristics. These features complicate the link between PM2.5 emission sources, ambient concentrations and health effects. The goal of the Denver Aerosol Sources and Health (DASH) study is to investigate associations between sources and health using daily measurements of speciated PM2.5 in Denver. The datxa set being collected for the DASH study will be the longest daily speciated PM2.5 data set of its kind covering 5.5 years of daily inorganic and organic speciated measurements. As of 2008, 4.5 years of bulk measurements (mass, inorganic ions and total carbon) and 1.5 years of organic molecular marker measurements have been completed. Several techniques were used to reveal long-term and short-term temporal patterns in the bulk species and the organic molecular marker species. All species showed a strong annual periodicity, but their monthly and seasonal behavior varied substantially. Weekly periodicities appear in many compound classes with the most significant weekday/weekend effect observed for elemental carbon, cholestanes, hopanes, select polycyclic aromatic hydrocarbons (PAHs), heavy n-alkanoic acids and methoxyphenols. Many of the observed patterns can be explained by meteorology or anthropogenic activity patterns while others do not appear to have such obvious explanations. Similarities and differences in these findings compared to those reported from other cities are highlighted.

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Section: Resultsmentioning

confidence: 99%

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

Dutton

Rajagopalan

Vedal

et al. 2010

Atmospheric Environment

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“…Studies of Roden (1959), Wastler (1963), and Thomann (1967) have dealt specifically with the application of time series to water quality parameters. Roden examined the interrelationship between streamflow and the salinity of coastal waters along the Pacific coast of the U. S. and Canada.…”

Section: Introduction -Literature Reviewmentioning

confidence: 99%

STATISTICAL ANALYSIS OF DAILY WATER QUALITY DATA¹

Bourodimos

Hahn

1974

J American Water Resour Assoc

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ABSTRACT. The stochastic nature of some water quality time series were examined. These time series include nine years of daily observations in: (1) the stream flow (Q), (2) the water temperature (T), (3) the dissolved oxygen (DO), and (4) the biochemical oxygen demand (BOD) of the Passaic River at Little Falls, New Jersey. It was found that the random component contributes more than 60 per cent of the variance in the BOD series, but only 30 per cent or less in the DO series. Autocorrelation analysis suggest that DO and BOD residual series have a persistence of about 30 days. Significant crosscorrelation between DO and temperature T was found when DO lags T for up to 30 days, which indicates that the critical DO probably lags the critical temperature. Also, spectral anlaysis shows multiple peaks in the BOD series, reflecting effects of storm runoff and other non‐point source pollution on river water quality.

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Models of the Hydrologic Cycle

Curlin¹

1973

Ecological Studies

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Application of spectral analysis to stream and estuary field surveys : I. Individual power spectra /

Cited by 10 publications

References 0 publications

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

STATISTICAL ANALYSIS OF DAILY WATER QUALITY DATA¹

Models of the Hydrologic Cycle

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Application of spectral analysis to stream and estuary field surveys : I. Individual power spectra /

Cited by 10 publications

References 0 publications

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

Temporal patterns in daily measurements of inorganic and organic speciated PM2.5 in Denver

STATISTICAL ANALYSIS OF DAILY WATER QUALITY DATA1

Models of the Hydrologic Cycle

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STATISTICAL ANALYSIS OF DAILY WATER QUALITY DATA¹