skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Adapting Testing Techniques to Conditions Encountered.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1266289
Report Number(s):
SAND2007-1365C
526779
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Sandia-INER/EEL Workshop held March 12-16, 2007 in Longtan, Taiwan.
Country of Publication:
United States
Language:
English

Citation Formats

Beauheim, Richard L. Adapting Testing Techniques to Conditions Encountered.. United States: N. p., 2007. Web.
Beauheim, Richard L. Adapting Testing Techniques to Conditions Encountered.. United States.
Beauheim, Richard L. Thu . "Adapting Testing Techniques to Conditions Encountered.". United States. doi:. https://www.osti.gov/servlets/purl/1266289.
@article{osti_1266289,
title = {Adapting Testing Techniques to Conditions Encountered.},
author = {Beauheim, Richard L.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Mar 01 00:00:00 EST 2007},
month = {Thu Mar 01 00:00:00 EST 2007}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • In some studies of the impacts of climate change on global crop production, crop growth models were empirically adapted to improve their response to increased CO{sub 2} concentration and air temperature. This chapter evaluates the empirical adaptations of the photosynthesis and evapotranspiration (ET) algorithms used in the soybean [Glycine max (L.) Merr.] model, SOYGRO V5.42, by comparing it with a new model that includes mechanistic approaches for these two processes. The new evapotranspiration-photosynthesis sub-model (ETPHOT) uses a hedgerow light interception algorithm, a C{sub 3}-leaf biochemical photosynthesis submodel, and predicts canopy ET and temperatures using a three-zone energy balance. ETPHOT usesmore » daily weather data, has an internal hourly time step, and sums hourly predictions to obtain daily gross photosynthesis and ET. The empirical ET and photosynthesis curves included in SOYGRO V5.42 for climate change prediction were similar to those predicted by the ETPHOT model. Under extreme conditions that promote high leaf temperatures, like in the humid tropics. SOYGRO V5.42 overestimated daily gross photosynthesis response to CO{sub 2} compared with the ETPHOT model. SOYGRO V5.42 also slightly overestimated daily gross photosynthesis at intermediate air temperatures and ambient CO{sub 2} concentrations. 80 refs., 12 figs.« less
  • Petroleum explorationists are often faced with determining the relationship between the products of wells completed in lithologies that may have some spatial or communicative relationship. Conventional methods of sampling and analysis are often time consuming and expensive. A new method for the sampling, analysis, and computerized data interpretation of the C2-C16 fraction of crude oil and natural gas is reported here. Controlled temperature headspace sampling of crude oils and direct pressure equilibrated natural gas exposure of carbon adsorption wires has been successfully applied to the sampling of the volatile fractions of petroleum fluids. Thermal vacuum desorption followed by mass spectrometricmore » analysis of these volatile organic compounds is a rapid and sensitive method for obtaining detailed information of the distribution (fingerprint) of the components in a given sample; however, the resulting information is too complex for direct human interpretation. Techniques of computerized chemical pattern recognition such as principal components analysis (PCA) with graphical rotation, discriminant analysis, and similarity analysis (SIMCA) have proven useful in establishing the relationships between potentially correlated samples via the fingerprints of their volatile fractions. Studies have been conducted on multiple samples from numerous continental basins. The results of several of these studies will be presented to demonstrate the applicability of this new, rapid, cost-efficient approach to correlation studies.« less
  • Linear forested systems, especially those deliberately managed as shelterbelts, may help adapt cropping systems in semi-arid grasslands such as the North American Great Plains to climate change. Trees have become increasingly important features in the Great Plains. In this study, the microclimatic effects of shelterbelts gleaned from the literature are inserted into the EPIC crop model to simulate the response of crops to shelter on two hypothetical farms in Nebraska (dryland maize at Mead and irrigated maize at Grand Island). This modified version of EPIC and a version simulating an unsheltered control were subjected to systematic increments to temperature, andmore » increments/decrements to precipitation and windiness in order to examine differences in crop productivity between the two versions under climate changes. The model results were examined graphically and statistically.« less