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At least 1,009 records · Page 56Linked to original sources
USGS2011

Asbestos

The term asbestos is a generic designation referring usually to six types of naturally occurring mineral fibers that are or have been commercially exploited. These fibers belong to two mineral groups: serpentines and amphiboles. The serpentine group is represented by a single asbestiform variety-chrysotile. There also are five commercial asbestiform varieties of amphiboles-anthophyllite asbestos, cummingtonite-grunerite asbestos (amosite), riebeckite asbestos (crocidolite), tremolite asbestos, and actinolite asbestos. Amosite and crocidolite are no longer mined. Nearly all of the asbestos mined after the mid-1990s was chrysotile. Only very small amounts of actinolite, anthophyllite, and tremolite asbestos may be mined in a few countries. Asbestos was mined in Argentina, Brazil, Canada, China, India, Kazakhstan, and Russia in 2010; world production was estimated to be 1.97 × 10 6 tons. Properties that made asbestos valuable for industrial applications were their thermal, electrical, and sound insulation properties; inflammability; matrix reinforcement (cement, plastic, and resins); adsorption capacity (filtration, liquid sterilization); wear and friction properties (friction materials such as brakes and clutches); and chemical inertia (except in acids). These properties led to the use of asbestos in about 3,000 products by the 1960s. Since about 1995, asbestos-cement products, including pipe and sheets, accounted for more than 95% of global asbestos consumption as other uses of asbestos have declined. Global consumption of asbestos was estimated to have been about 1.98 × 10 6 tons in 2009. The leading consuming countries in 2009 were Brazil, China, India, Russia, and Thailand, each with more than 100,000 tons of consumption.

Book chapter↗
USGS2017

Surface slip during large Owens Valley earthquakes

The 1872 Owens Valley earthquake is the third largest known historical earthquake in California. Relatively sparse field data and a complex rupture trace, however, inhibited attempts to fully resolve the slip distribution and reconcile the total moment release. We present a new, comprehensive record of surface slip based on lidar and field investigation, documenting 162 new measurements of laterally and vertically displaced landforms for 1872 and prehistoric Owens Valley earthquakes. Our lidar analysis uses a newly developed analytical tool to measure fault slip based on cross‐correlation of sublinear topographic features and to produce a uniquely shaped probability density function (PDF) for each measurement. Stacking PDFs along strike to form cumulative offset probability distribution plots (COPDs) highlights common values corresponding to single and multiple‐event displacements. Lateral offsets for 1872 vary systematically from ∼1.0 to 6.0 m and average 3.3 ± 1.1 m (2σ). Vertical offsets are predominantly east‐down between ∼0.1 and 2.4 m, with a mean of 0.8 ± 0.5 m. The average lateral‐to‐vertical ratio compiled at specific sites is ∼6:1. Summing displacements across subparallel, overlapping rupture traces implies a maximum of 7–11 m and net average of 4.4 ± 1.5 m, corresponding to a geologic M w ∼7.5 for the 1872 event. We attribute progressively higher‐offset lateral COPD peaks at 7.1 ± 2.0 m, 12.8 ± 1.5 m, and 16.6 ± 1.4 m to three earlier large surface ruptures. Evaluating cumulative displacements in context with previously dated landforms in Owens Valley suggests relatively modest rates of fault slip, averaging between ∼0.6 and 1.6 mm/yr (1σ) over the late Quaternary.

Book↗
USGS2006

Mass spectrometric in the analysis of inorganic substances

Mass spectrometry is an analytical technique used to measure the composition of a substance by isolating specific analyte components according to their individual atomic or molecular mass‐to‐charge ratios. Inorganic mass spectrometry is specifically used to determine the elemental and isotopic composition of the material being analyzed. The techniques are capable of the measurement of a range of concentrations from major components to ultratrace constituents. Several instrumental approaches are used to separate and measure the abundance of component ions formed from the sample. These techniques include electron ionization mass spectrometry (EIMS), inductively coupled plasma mass spectrometry (ICPMS), thermal ionization mass spectrometry (TIMS) and spark source mass spectrometry (SSMS). These techniques utilize a variety of mass spectrometers including ion trap, quadrupole, magnetic sector and time‐of‐flight mass analyzers, depending on the type of sample being analyzed and the desired quality of the results. Often sample introduction techniques can be utilized to enhance the capabilities for solving specific analytical chemistry problems.

Book chapter↗
USGS2005

Guidelines 13 and 14—Prediction uncertainty

An advantage of using optimization for model development and calibration is that optimization provides methods for evaluating and quantifying prediction uncertainty. Both deterministic and statistical methods can be used. Guideline 13 discusses using regression and post-audits, which we classify as deterministic methods. Guideline 14 discusses inferential statistics and Monte Carlo methods, which we classify as statistical methods.

Book chapter↗
USGS2005

Calibrating transient and transport models and recalibrating existing models

The methods presented in Chapters 3 to 8 are applicable to models of any system. However, there are special considerations when applying the methods to certain types of models. This chapter discusses three types of models that are of special interest to many scientific and engineering fields: transient models, transport models, and existing models that are to be recalibrated.

Book chapter↗
USGS2006

Abundance: Population size and density estimation

Estimates of population size (total number of individuals) or density (number of individuals per unit area) are some of the most basic requirements for wildlife research and management. This article provides a brief overview of approaches for wildlife population estimation. These include habitat-based approaches such as quadrat, line intercept, distance, and repeated count methods, as well as animal-based approaches such as capture–recapture and harvest methods. In contrast to methods that only index changes in these parameters, estimates of size or density must account for the probability that an individual will be included in the sample used for estimation. The essential differences in the approaches are in how the samples are obtained and how the sampling probabilities are estimated.

Book chapter↗
USGS2013

Abundance: Population size and density estimation

Estimates of population size (total number of individuals) or density (number of individuals per unit area) are some of the most basic requirements for wildlife research and management. This article provides a brief overview of approaches for wildlife population estimation. These include habitat‐based approaches such as quadrat, line intercept, distance, and repeated count methods, as well as animal‐based approaches such as capture–recapture and harvest methods. In contrast to methods that only index changes in these parameters, estimates of size or density must account for the probability that an individual will be included in the sample used for estimation. The essential differences in the approaches are in how the samples are obtained and how the sampling probabilities are estimated.

Book chapter↗
USGS2013

Capture-recapture methodology

Capture-recapture methods were initially developed to estimate human population abundance, but since that time have seen widespread use for fish and wildlife populations to estimate and model various parameters of population, metapopulation, and disease dynamics. Repeated sampling of marked animals provides information for estimating abundance and tracking the fate of individuals in the face of imperfect detection. Mark types have evolved from clipping or tagging to use of noninvasive methods such as photography of natural markings and DNA collection from feces. Survival estimation has been emphasized more recently as have transition probabilities between life history states and/or geographical locations, even where some states are unobservable or uncertain. Sophisticated software has been developed to handle highly parameterized models, including environmental and individual covariates, to conduct model selection, and to employ various estimation approaches such as maximum likelihood and Bayesian approaches. With these user-friendly tools, complex statistical models for studying population dynamics have been made available to ecologists. The future will include a continuing trend toward integrating data types, both for tagged and untagged individuals, to produce more precise and robust population models.

Book chapter↗
USGS2013

Cross-scale morphology

The scaling of physical, biological, ecological and social phenomena is a major focus of efforts to develop simple representations of complex systems. Much of the attention has been on discovering universal scaling laws that emerge from simple physical and geometric processes. However, there are regular patterns of departures both from those scaling laws and from continuous distributions of attributes of systems. Those departures often demonstrate the development of self-organized interactions between living systems and physical processes over narrower ranges of scale.

Book chapter↗
USGS2013

Panarchy

Panarchy is the term coined to describe hierarchical systems where control is not only top down, as typically considered, but also bottom up. A panarchy is composed of adaptive cycles, and an adaptive cycle describes the processes of development and decay in a system. Complex systems self-organize into hierarchies because this structure limits the possible spread of destructive phenomena (e.g., forest fires, epidemics) that could result in catastrophic system failure. Thus, hierarchical organization enhances the resilience of complex systems.

Book chapter↗
USGS2008

Avian cholera

This chapter contains section titled: Introduction Synonyms History Distribution Host Range Etiology Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Unpublished Data Literature Cited

Book chapter↗
USGS2008

Avian tuberculosis

This chapter contains section titled: Introduction Synonyms History Distribution Host Range Etiology Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Unpublished Data Literature Cited

Book chapter↗
USGS2008

Avian chlamydiosis

This chapter contains section titled: Introduction Synonyms History Distribution and Host Range Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Unpublished Data Literature Cited

Book chapter↗
USGS2008

Avian botulism

This chapter contains section titled: Introduction Synonyms History Distribution Host Range Etiology Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Literature Cited

Book chapter↗