We may want to have a "worst case scenario" model result set. Essentially, it's what would happen if those same modifications were made without optimization. If optimization is optimistic about everyone's ability to anticipate and adapt to problems, this version is pessimistic by assuming those changes happen and nobody adapts at all. Together, they can give the bounds on the impact of those changes.
We can do this essentially by taking the base case and scaling it linearly by price adjustment * yield adjustment * land adjustment * water adjustment
OK, we've added the code into Dapper, but need to determine how it interfaces with the nonirrigated ag code. Do we combine the irrigated and nonirrigated land for the worst case scenario?
We may want to have a "worst case scenario" model result set. Essentially, it's what would happen if those same modifications were made without optimization. If optimization is optimistic about everyone's ability to anticipate and adapt to problems, this version is pessimistic by assuming those changes happen and nobody adapts at all. Together, they can give the bounds on the impact of those changes.
We can do this essentially by taking the base case and scaling it linearly by
price adjustment * yield adjustment * land adjustment * water adjustment