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Municipal Separate Storm Sewer System (MS4) permitees including the California Department of Transportation need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff. These entities also need information about the potential effectiveness of stormwater best management practices (BMPs) used to mitigate the effects of runoff. This information is needed to address total maximum daily load (TMDL) regulations. This model archive describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for assessing long-term annual yields of highway and urban runoff in selected areas of California with version 1.1.0 of the Stochastic Empirical Loading...
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San Francisco baywide eelgrass layer with density attributes developed from data collected in 2003 and 2009.These data are intended to identify existing eelgrass beds and conditions under which eelgrass can occur throughout the Bay. In addition, the program is designed to identify current eelgrass stressors and opportunities for enhancement of eelgrass communities within the Estuary. The results of the Program will facilitate management of eelgrass habitat resources in the Bay by providing regulatory and resource agencies additional knowledge of the status, distribution, and environmental parameters of eelgrass within this highly dyna mic system.


    map background search result map search result map San Francisco Bay Eelgrass Model archive for analysis of long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM) San Francisco Bay Eelgrass Model archive for analysis of long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)