麻豆传媒

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Developing a Stream Assessment Protocol聽

stream running through a wooded area

麻豆传媒 has been a significant contributor to the development and implementation of the Oregon Stream Function Assessment Method (SFAM) for more than 10 years. SFAM is a key component of the Oregon Stream Mitigation Program administered by the Oregon Department of State Lands. 

The mitigation program is designed to address damage to aquatic resources caused by permitted activities, such as road construction, and commercial building. 麻豆传媒 employee owners have provided support for method development including field trials, data analysis, and expertise in developing the Excel-based stream assessment scoring tool. In addition, 麻豆传媒 employee owners helped write the SFAM Manual and Scientific Rational support document. Visit to learn more about this program.

Stream running through a wooded area

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Large-Scale Decontamination Proves Successful

In the spring of 2022, we worked with the U.S. Environmental Protection Agency and the U.S. Coast Guard on a project called Analysis for Coastal Operational Resiliency-Wide Area Demonstration (WAD) which tests large scale decontamination following the release of surrogate bioagents. The team conducted a WAD at a military base in Virginia to test decontamination…

Employees Receive Green Sustainability Award of Excellence

Congratulations to our team supporting the Center for Disease Control (CDC) for receiving the Green Sustainability Award of Excellence. Our team led the charge helping CDC to upgrade their spill cabinets across all campuses (Atlanta, GA; Fort Collins, CO; San Juan, PR), which now include a more sustainable material called Trivorex 庐. This highly absorbent…

Swirls of blue, green, and orange on a global map

Evaluating the Use of Earth Observations Digital Twin Technologies聽

Earth Observations Digital Twin technologies are data analytics, artificial intelligence, and advanced modeling technologies that provide an estimate of the true state of the Earth. An Earth Systems Digital Twin is observations-based and grid-flexible with multiple components and high-resolution data over space and time to capture all available observations and feed a variety of direct…