Hydrologic Model for Water Resources Planning in Arid
Eylon Shamir
Hydrologic
A set of hydrologic models for
the southern region of the Santa Cruz River was developed as a water resources management
and planning tool for the Santa Cruz Active Management Area (SCAMA). These models are utilized in conjunction with
groundwater models that have been developed by the Arizona Department of Water
Resources as a probabilistic tool to determine safe and reliable levels of
groundwater development in the SCAMA. The models consist of: 1) a stochastic
model of hourly precipitation scenarios that maintains the characteristics and
variability of a 45-year hourly precipitation record from a near by raingauge;
2) a process based conceptual model that transforms the precipitation into
daily streamflow using varied infiltration rates and estimates the basin’s
antecedence moisture conditions; and 3) a simplified groundwater model for four
microbasins downstream the gauge that accounts for alluvial groundwater
recharge, and ET and pumping losses. To maintain the large inter-annual
variability of flow as prevails in
Long term (i.e., 100 years)
realizations (ensembles) are generated by the above described model that
reflects two different regimes. The
first regime is that of the historic rain gauge record. The second regime is a
paleoclimatic reconstructed precipitation regime derived for this location from
tree-ring data. These two ensembles are
used to evaluate the risk the four microbasins to decline below a storage threshold
that represents an aquifer stress under different operational schemes. The risks of both the frequency and the
consecutive occurrences of aquifer storage to drop below a given threshold were
evaluated under different monthly pumping scenarios.
Acknowledgments:
Support for this work was provided by Arizona Department of Water Resources
(ADWR) Santa Cruz Active Management Area under contract # 2005-2568. Special thanks are extended to the ADWR
personnel Frank Corkhill, Gretchen Erwin, Keith Nelson and Alejandro Barcenas
for collaboration in data interpretation and research direction.