Simple algebraic optimization method provides the answer to this and other environmental and plant risk management questions
A rigorous analytic method for optimizing the
tradeoff for health benefits against motor gasoline (mogas)
desulfurization costs when reducing the sulfur content of the
U.S. mogas pool shows only two key data inputs - sustaining
benefit and cost at reduced sulfur levels - provide the
optimum standard and maximum net gain to the nation. Modeling
and consensus for these two data values will circumvent much
time, effort, disagreement and financial loss to both
asthmatics and mogas users. If this analytical method was
adopted just for U.S. mogas sulfur neg-reg, net gain to the
nation would be over $15 billion.
Problem. Sulfur
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