کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6412977 | 1629931 | 2014 | 17 صفحه PDF | دانلود رایگان |
- We used collaborative modeling to evaluate options for restoring a terminal lake.
- We used integrated modeling to simulate management change outcomes.
- Integrated modeling provides a unified framework for evaluating management change.
- Water rights transfers/irrigation efficiencies reduced lake salinity below target.
- Integrated DSS worked well for developing stakeholder engagement/consensus.
SummaryA terminal lake basin in west-central Nevada, Walker Lake, has undergone drastic change over the past 90Â yrs due to upstream water use for agriculture. Decreased inflows to the lake have resulted in 100Â km2 decrease in lake surface area and a total loss of fisheries due to salinization. The ecologic health of Walker Lake is of great concern as the lake is a stopover point on the Pacific route for migratory birds from within and outside the United States. Stakeholders, water institutions, and scientists have engaged in collaborative modeling and the development of a decision support system that is being used to develop and analyze management change options to restore the lake. Here we use an integrated management and hydrologic model that relies on state-of-the-art simulation capabilities to evaluate the benefits of using integrated hydrologic models as components of a decision support system. Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change. Integrated management and hydrologic modeling provides a means of simulating benefits associated with management change in the Walker River basin where drastic changes in the hydrologic landscape have taken place over the last century. Through the collaborative modeling process, stakeholder support is increasing and possibly leading to management change options that result in reductions in Walker Lake salt concentrations, as simulated by the decision support system.
Journal: Journal of Hydrology - Volume 517, 19 September 2014, Pages 521-537