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Building a better bulwark: new tools help delineate the best response to a worst-case scenario.(logistics of disaster planning): An article from: Industrial Engineer
This digital document is an article from Industrial Engineer, published by Institute of Industrial Engineers, Inc. (IIE) on February 1, 2005. The length of the article is 3557 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser. Citation DetailsTitle: Building a better bulwark: new tools help delineate the best response to a worst-case scenario.(logistics of disaster planning) Author: Steven Averett Publication:Industrial Engineer (Refereed) Date: February 1, 2005 Publisher: Institute of Industrial Engineers, Inc. (IIE) Volume: 37 Issue: 2 Page: 24(6) Distributed by Thomson Gale.
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Adaptive sampling based on the cumulative distribution function of order statistics to delineate heavy-metal contaminated soils using kriging [An article from: Environmental Pollution]
This digital document is a journal article from Environmental Pollution, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser. Description: Correctly classifying ''contaminated'' areas in soils, based on the threshold for a contaminated site, is important for determining effective clean-up actions. Pollutant mapping by means of kriging is increasingly being used for the delineation of contaminated soils. However, those areas where the kriged pollutant concentrations are close to the threshold have a high possibility for being misclassified. In order to reduce the misclassification due to the over- or under-estimation from kriging, an adaptive sampling using the cumulative distribution function of order statistics (CDFOS) was developed to draw additional samples for delineating contaminated soils, while kriging. A heavy-metal contaminated site in Hsinchu, Taiwan was used to illustrate this approach. The results showed that compared with random sampling, adaptive sampling using CDFOS reduced the kriging estimation errors and misclassification rates, and thus would appear to be a better choice than random sampling, as additional sampling is required for delineating the ''contaminated'' areas. .
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PerĂº y Ecuador delinean sus fronteras.(TT: Peru and Ecuador delineate border.): An article from: Semana
This digital document is an article from Semana, published by Spanish Publications, Inc. on May 20, 1999. The length of the article is 552 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser. Citation DetailsTitle: PerĂº y Ecuador delinean sus fronteras.(TT: Peru and Ecuador delineate border.) Publication:Semana (Magazine/Journal) Date: May 20, 1999 Publisher: Spanish Publications, Inc. Volume: 6 Issue: 325 Page: 6 Distributed by Thomson Gale.
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An Integrated Rapid Hydrogeologic Approach to Delineate Areas Affected by Advective Transport in Mantled Karst, With An Application to Clear Creek Basin, Washington County, Arkansas
This is a AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH report procured by the Pentagon and made available for public release It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A914183. The abstract provided by the Pentagon follows: The main objectives of this study are 1) to integrate an understanding of flow and transport in mantled karst settings and 2) to develop a simple model that would predict possible advective routes of travel in a mantled karst in an economical, timely manner. The scope was narrowed to exclude time-of-travel, diffusion, dispersion, and sorption. The scope of this project is focused. First, it deals only with advective transport. It does not consider concentration variations - nor does it consider temporal or transient factors. Results are intended to show specific areas at risk, not time-of-travel, nor any time of contamination. Because flow in karst is typically rapid, this study considers worst-case scenarios. Attenuation mechanisms, including sorption and biodegradation are not considered in this model..
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