PROGRESS TOWARD EVALUATING THE SUSTAINABILITY OF SWITCHGRASS AS A BIOENERGY CROP USING THE SWAT MODEL

被引:0
|
作者
Baskaran, L. [1 ]
Jager, H. I. [1 ]
Schweizer, P. E. [1 ]
Srinivasan, R. [2 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Texas A&M & Texas Agr Expt Stn, Spatial Sci Lab, College Stn, TX USA
关键词
Bioenergy; Functional validation; River flow; Sensitivity analysis; Sustainability; Switchgrass; Water quality; WATER ASSESSMENT-TOOL; ECONOMIC-ANALYSIS; QUALITY; FEEDSTOCK; SURFACE; ENERGY; FLOW; SOIL;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Adding bioenergy to the U.S. energy portfolio requires long-term profitability for bioenergy producers and long-term protection of affected ecosystems. In this study, we present steps along the path toward evaluating both sides of the sustainability equation (production and environmental) for switch grass (Panicum virgatum) using the Soil and Water Assessment Tool (SWAT). We modeled production of switch grass and river flow using SWAT for current landscapes at a regional scale.. To quantify feedstock production, we compared lowland switchgrass yields simulated by SWAT with estimates from a model based on empirical data for the eastern U.S. The two produced similar geographic patterns. Average yields reported in field trials tended to be higher than average SWAT-predicted yields, which may nevertheless be more representative of production-scale yields. As a preliminary step toward quantifying bioenergy-related changes in water quality, we evaluated flow predictions by the SWAT model for the Arkansas-White-Red river basin. We compared monthly SWAT flow predictions to USGS measurements from 86 subbasins across the region. Although agreement was good, we conducted an analysis of residuals (functional validation) seeking patterns to guide future model improvements. The analysis indicated that differences between SWAT flow predictions and field data increased in downstream subbasins and in subbasins with higher percentage of water Together, these analyses have moved us closer to our ultimate goal of identifying areas with high economic and environmental potential for sustainable feedstock production.
引用
收藏
页码:1547 / 1556
页数:10
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