NDLI: Testing trends in environmental compliance

Content Provider	Springer Nature Link
Author	Polansky, Alan M. Check, Catherine E.
Copyright Year	2002
Abstract	Many environmentalregulations are based on threshold levels. Such a level is generally set such that exposure to a toxin above the level is considered a hazard to health. In many instances, the level may be exceeded a certain number of times before regulatory action is taken. Such is the case with the National Ambient Air Quality Standards (NAAQS) set by the Environmental Protection Agency (EPA) in accordance with the 1990 amendment of the Clean Air Act of 1970. This set of standards sets threshold levels for several pollutants including carbon monoxide, nitrogen dioxide, ground-level ozone, and lead. Many areas of the United States, which the EPA designates as nonattainment areas, persistently exceed the air pollution levels set by the NAAQS. Progress in these areas is of ten slow but can be studied through data collected on the elapsed time between violations. The purpose of this article is to present a relatively easy but flexible statistical method for assessing whether an area is making progress with compliance to the NAAQS. The method presented in this article is based on a randomization test of a general model for the mean time between violations of the standard. The modeling-type approach of this method makes it flexible enough to study many types of trends. The use of the randomization test makes the method simple to apply and requires fewer assumptions than many other proposed methods. We discuss some general theoretical conditions for which the method is well suited and study the performance of this method empirically, Finally, we apply the method to a well-known set of interviolation times corresponding to data collected on ground-level ozone in Houston, Texas.
Starting Page	452
Ending Page	468
Page Count	17
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	7
Issue Number	3
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2002-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Change point Ozone levels Randomization test Two-phase regression Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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