Paper No. JAWRA-10-0026-N of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.
Incorporating Social Context Variables Into Paired Watershed Designs to Test Nonpoint Source Program Effectiveness1
Article first published online: 6 DEC 2010
© 2010 American Water Resources Association
JAWRA Journal of the American Water Resources Association
Volume 47, Issue 1, pages 196–202, February 2011
How to Cite
Prokopy, L. S., Asligül Göçmen, Z., Gao, J., Allred, S. B., Bonnell, J. E., Genskow, K., Molloy, A. and Power, R. (2011), Incorporating Social Context Variables Into Paired Watershed Designs to Test Nonpoint Source Program Effectiveness. JAWRA Journal of the American Water Resources Association, 47: 196–202. doi: 10.1111/j.1752-1688.2010.00508.x
- Issue published online: 27 JAN 2011
- Article first published online: 6 DEC 2010
- Received March 1, 2010; accepted October 13, 2010.
- social indicators;
- watershed planning;
- outreach and education;
- nonpoint source pollution.)
Prokopy, Linda Stalker, Z. Asligül Göçmen, Jing Gao, Shorna Broussard Allred, Joseph E. Bonnell, Kenneth Genskow, Alicia Molloy, and Rebecca Power, 2011. Incorporating Social Context Variables Into Paired Watershed Designs to Test Nonpoint Source Program Effectiveness. Journal of the American Water Resources Association (JAWRA) 47(1):196-202. DOI: 10.1111/j.1752-1688.2010.00508.x
Abstract: In a traditional paired watershed study, watersheds are selected to be as similar as possible so that conclusions may be drawn about the performance of Best Management Practices. We have extended the paired watershed concept to examine the effectiveness of watershed management programs by adding comparative criteria for social characteristics. For four different 8 or 11/12 digit hydrologic unit code (HUC) watersheds in the Midwest, we have piloted a systematic method for selecting paired subwatersheds. First, we developed a list of 11 key variables. Next, a factor analysis was conducted to determine the underlying structure of the 11 input variables. Finally, in each of the four watersheds, potential paired subwatersheds (all 14 digit HUCs) were selected using the factors in a cluster analysis. Informal interviews were then held with key informants in each watershed to provide qualitative assessments of criteria that could impact the comparability of the subwatersheds. This method for selecting paired watersheds should be helpful for other researchers to test the effectiveness of watershed management programs focused on behavior change.