Science Inventory

LAND USE AS A MITIGATON STRATEGY FOR THE WATER QUALITY IMPACTS OF GLOBAL WARMING: A SCENARIO ANALYSIS ON TWO WATERSHEDS IN THE OHIO RIVER BASIN

Citation:

Liu, A. J. AND J A. Goodrich*. LAND USE AS A MITIGATON STRATEGY FOR THE WATER QUALITY IMPACTS OF GLOBAL WARMING: A SCENARIO ANALYSIS ON TWO WATERSHEDS IN THE OHIO RIVER BASIN. Presented at 4th Int Conf on Integrating GIS and Env Modeling: Problems Prospects and Research Needs, Banff, Alberta, Canada, 9/2-8/2000.

Description:

This study uses an integrative approach to study the water quality impacts of future global climate and land use changes. Changing land use types was used as a nitigation strategy to reduce the adverse impacts of global climate change on water resources. The climate scenarios were based on projections made by the IPCC and the HadCM2. The Thornthwaite water balance model was coupled with a land use model (L-THIA) to investigate the hydrologic effects of future climate and land use changes in the Ohio River Basin. The land use model is based on the Soil Conservation Service's curve number method. It uses the curve number, an index of land use and soil type, to calculate runoff volume and depth. The ArcView programmming language, Avernue, was used to integrate the two models into a GIS. An output of the water balance model, daily precipitation values adjusted for potential evapotranspiration, served as one of the inputs into the land use model. Two watersheds were used in the present study: one connntaining the city of Cincinnati on the mainstem of the Ohio River, and one containing the city of Columbus on a tributary of the Ohio River. These cities represent two major metropolitan areas in the Ohio River Basin with different land uses experiencing different rates of population growth. The projected hypothetical land use changes were based on linear extrapolations of current population data.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ ABSTRACT)
Product Published Date:09/02/2000
Record Last Revised:06/06/2005
Record ID: 60821