About OpenKnowledge@NAU | For NAU Authors

A spatial-temporal optimization approach to watershed management: AMD treatment in the Cheat River Watershed, WV: Working paper series--08-15

Zhao, Xiaobing and Fletcher, Jerald J. (2008) A spatial-temporal optimization approach to watershed management: AMD treatment in the Cheat River Watershed, WV: Working paper series--08-15. Working Paper. NAU W.A. Franke College of Business.

[img]
Preview
Text
Zhao_X_Etal_2008_FrankeWPS_08-15(1).pdf

Download (1MB) | Preview

Abstract

Most water management studies concentrate on the inter-temporal allocation problem or, more recently, spatial dynamics - but not both. While early spatial-temporal studies focused on the allocation of water quantity, this paper presents an approach to water quality analysis that incorporates both spatial and temporal dynamics in a watershed framework. The acid mine drainage (AMD) problem in the Cheat River watershed of West Virginia serves as a case study and provides an opportunity to test the modeling approach developed. The empirical models are written in General Algebraic Modeling System (GAMS) and solved using the CPLEX mixed integer programming package. The results suggest that available investments should be concentrated in heavily impaired stream segments. The model can be used to assess the economic implications of alternative watershed TMDL implementation or other management strategies.

Item Type: Monograph (Working Paper)
Publisher’s Statement: Copyright, where appropriate, is held by the author.
ID number or DOI: 08-15
Keywords: Working paper, Spatial-temporal optimization, Water quality, Watershed management, Acid mine drainage
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics
NAU Depositing Author Academic Status: Faculty/Staff
Department/Unit: The W.A. Franke College of Business
Date Deposited: 17 Oct 2015 23:11
URI: http://openknowledge.nau.edu/id/eprint/1520

Actions (login required)

IR Staff Record View IR Staff Record View

Downloads

Downloads per month over past year