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Article
Using Survey Data to Determine a Numeric Criterion for Nutrient Pollution
Water Resources Research
  • Paul Mark Jakus, Utah State University
  • Nanette Nelson, University of Wyoming
  • Jeffrey Ostermiller, Utah Division of Water Quality
Document Type
Article
Publisher
AGU Publications
Publication Date
12-6-2017
Disciplines
Abstract

We present a scientific replication of a benthic algae nuisance threshold study originally conducted in Montana, but we do so using a different sampling methodology in a different state. Respondents are asked to rate eight photographs that depict varying algae conditions. Our initial results show that Utah resident preferences for benthic algae levels are quite similar to those of Montana residents, thus replicating the Montana study. For the full Utah sample, though, Cronbach's α indicated poor internal consistency in rating the photographs, so a “monotonicity rule” was used to identify respondents providing monotonic preferences with respect to chlorophyll a densities. Simple graphical analyses are combined with ordered probit analysis to determine the maximum desirable density of chlorophyll a (Chl a). Our analysis indicates that Chl alevels in excess of 150 mg Chl a/m2 are undesirable, but the regression model suggests that those with strictly monotonic preferences were far more likely favor a more stringent standard.

Citation Information
Paul Mark Jakus, Nanette Nelson and Jeffrey Ostermiller. "Using Survey Data to Determine a Numeric Criterion for Nutrient Pollution" Water Resources Research Vol. 53 Iss. 12 (2017) p. 10188 - 10200
Available at: http://works.bepress.com/paul_jakus/96/