The Economics of Sediment Management Using an Aggregate Model of a Large Agricultural Watershed
White, David Clark
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69891
Description
Title
The Economics of Sediment Management Using an Aggregate Model of a Large Agricultural Watershed
Author(s)
White, David Clark
Issue Date
1988
Department of Study
Agricultural Economics
Discipline
Agricultural Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Agricultural
Abstract
This thesis describes an aggregate model of a large agricultural watershed, developed with the specific objective of modeling the interactions between farming decisions and the quantity of sediment delivered to the receiving surface water. The purpose for developing such a model is to combine it with an economic optimization model to enable analyses to pursue minimum cost land management strategies to control sediment.
The aggregate economic model that is developed is an adaptation of an existing economic optimization model addressing the same issue of sediment control at minimum cost, but on a site-specific (i.e., disaggregate) basis. The existing site-specific model provided a relatively simple sediment transport function and an efficient economic optimization algorithm particularly appropriate for adapting to an aggregate application.
Concepts and abstractions borrowed from the field of soil landscape analysis, and the reasoning used in applying them to the aggregation of both descriptive and spatial information relating to a 31,000 acre watershed are described. Numerous investigations of the validity of the aggregation approach are described and discussed. And, finally, the usefulness of the aggregate model is demonstrated with some applications.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
