Skip to main content

DEVELOPMENT OF THE LAKE TAHOE WATERSHED MODEL: INTEGRATING CUSTOMIZED RESEARCH, DATASETS, AND TECHNIQUES

Buy Article:

$17.50 plus tax (Refund Policy)

Or sign up for a free trial

Lake Tahoe is one of the most pristine lakes in the world. In recent decades, once pristine portions of the Tahoe Basin are becoming urbanized. Studies during the past forty years have shown that many factors have interacted to degrade the Lake Tahoe Basin's air quality, terrestrial landscape, and water quality. These factors include land disturbance, increasing resident and tourist population, habitat destruction, air pollution, soil erosion, roads and road maintenance, and loss of natural landscapes capable of detaining and infiltrating rainfall runoff. Since 1968, there has been a decline of the lake's Secchi depth clarity at an alarming rate of nearly one foot per year.

A TMDL for Lake Tahoe is currently under development with an endpoint target for lake clarity defined as the mean annual Secchi depth during the period 1967–71. In support of this effort, a detailed watershed model is being developed to help associate natural and anthropogenic sources within the watershed to lake clarity, and provide a basis for performing allocation analysis and future TMDL implementation planning. The development effort integrates research results from numerous ongoing studies being conducted in support of the Lake Tahoe TMDL along with extensive available historical data currently available. This paper highlights a few of the customized data and methods developed specifically for this TMDL, including meteorological data compilation and quality control, integration of high-resolution/high-frequency 3-by-3 kilometer synthetic meteorological data coverage, and customized land use GIS data sources and data analysis and processing techniques that were applied. The Lake Tahoe drainage area was divided into 184 subwatersheds, with 16 land use and disturbance classifications. The watershed was modeled using the United States Environmental Protection Agency (USEPA) approved Loading Simulation Program in C++ (LSPC). LSPC is a watershed modeling system that includes streamlined Hydrologic Simulation Program FORTRAN (HSPF) algorithms for simulating hydrology, sediment, and general water quality on land as well as simplified stream transport. Since the quality of detailed watershed modeling directly depends on data quality and representation, the efforts described in this paper have proven beneficial for the modeling process.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Publication date: 2005-01-01

More about this publication?
  • Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed.

    A subscription to the Proceedings of the Water Environment Federation includes access to most papers presented at the annual WEF Technical Exhibition and Conference (WEFTEC) and other conferences held since 2000. Subscription access begins 12 months after the event and is valid for 12 months from month of purchase. A subscription to the Proceedings of the Water Environment Federation is included in Water Environment Federation (WEF) membership.

    WEF Members: Sign in (right panel) with your IngentaConnect user name and password to receive complimentary access. Access begins 12 months after the conference or event
  • Subscribe to this Title
  • Membership Information
  • About WEF Proceedings
  • WEFTEC Conference Information
  • Learn about the many other WEF member benefits and join today
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more