Around the South Pacific Division

USACE is sharing flood inundation maps for its dams in the National Inventory of Dams as well as narrative summaries about what our dams do, benefits they provide and risks they pose, and planned and ongoing actions to manage dam risks.
Work being done on Isabella Dam
The Los Angeles District is responsible for 14 harbors along the Southern California coast stretching from San Diego Harbor near the Mexican border to Morro Bay Harbor on California's central coast.
The Humboldt Jetty project consists of repairs to the North and South Jetties that maintain the opening and the federal navigation channel into Humboldt Bay.
The Petaluma River is located on San Pablo Bay in Sonoma and Marin Counties, California. Operations and Maintenance (O&M) provides for dredging of a channel 200 feet wide to a depth of -8 feet Mean Lower Low Water (MLLW) across the flats in San...

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ERDC COVID-19 model debuts on CDC website

Published May 27, 2020
The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

VICKSBURG, Miss. – The U.S. Army Engineer Research and Development Center’s (ERDC) COVID-19 Modeling and Analysis Team (C-MAT) developed a COVID-19 model that debuted on the Centers for Disease Control and Prevention’s (CDC) website, May 22.

The ERDC model, also referred to as the ERDC-SEIR (Susceptible Exposed Infected Recovered) model, is one of 16 models featured on the CDC’s COVID-19 model ensemble website.

The inclusions of the ERDC model as part of the ensemble marks the first instance a model developed and maintained by the Department of Defense has been included in the CDC ensemble. The ERDC-SEIR model is featured alongside others from several prestigious institutions from around the world.

The model predicts disease spread in the U.S. and provides information that supports planning for response actions. The ERDC-SEIR model results have been provided to federal, state and local partners to aid the nation’s leaders in making informed decisions to address complex challenges related to the COVID-19 pandemic.

The C-MAT collaborated with representatives from the Federal Emergency Management Agency and the Department of Health and Human Services to communicate findings to the CDC. ERDC’s C-MAT members then coordinated with the Reich Lab to incorporate the ERDC-SEIR model predictions into the CDC ensemble. The results for each model included in the ensemble are routinely updated, and the C-MAT will continue to provide results to the CDC going forward.

Dr. Todd Bridges, the ERDC Senior Scientist who is leading C-MAT said, “It’s been amazing to see the power that can be generated by uniting more than 30 public health scientists, mathematicians, physicists, modelers, computer scientists, and other disciplines under a common cause.”


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ERDC COVID-19 model debuts on CDC website

Published May 27, 2020
The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

The screenshot illustrates the May 22 debut of the U.S. Army Engineer Research and Development Center’s Susceptible Exposed Infected Recovered (ERDC-SEIR) model on the Centers for Disease Control and Prevention’s (CDC) website. The ERDC-SEIR is one of 16 models featured on the CDC’s COVID-19 model ensemble website, and the ERDC COVID-19 Modeling and Analysis Team will continue to provide results to the CDC going forward.

VICKSBURG, Miss. – The U.S. Army Engineer Research and Development Center’s (ERDC) COVID-19 Modeling and Analysis Team (C-MAT) developed a COVID-19 model that debuted on the Centers for Disease Control and Prevention’s (CDC) website, May 22.

The ERDC model, also referred to as the ERDC-SEIR (Susceptible Exposed Infected Recovered) model, is one of 16 models featured on the CDC’s COVID-19 model ensemble website.

The inclusions of the ERDC model as part of the ensemble marks the first instance a model developed and maintained by the Department of Defense has been included in the CDC ensemble. The ERDC-SEIR model is featured alongside others from several prestigious institutions from around the world.

The model predicts disease spread in the U.S. and provides information that supports planning for response actions. The ERDC-SEIR model results have been provided to federal, state and local partners to aid the nation’s leaders in making informed decisions to address complex challenges related to the COVID-19 pandemic.

The C-MAT collaborated with representatives from the Federal Emergency Management Agency and the Department of Health and Human Services to communicate findings to the CDC. ERDC’s C-MAT members then coordinated with the Reich Lab to incorporate the ERDC-SEIR model predictions into the CDC ensemble. The results for each model included in the ensemble are routinely updated, and the C-MAT will continue to provide results to the CDC going forward.

Dr. Todd Bridges, the ERDC Senior Scientist who is leading C-MAT said, “It’s been amazing to see the power that can be generated by uniting more than 30 public health scientists, mathematicians, physicists, modelers, computer scientists, and other disciplines under a common cause.”