logo

Detection, prevention, management, and scalable technologies for harmful algal bloom reduction

Sector: Biomass • Location: United States of America

Source: Grants.gov

Project
Archived

Background: Aquatic nuisance species, including harmful algae, impact USACE waterways, infrastructure, operations, and associated resources across the Nation; it’s estimated that nutrient pollution and harmful algal blooms cause as estimated $1B in lost tourism revenue alone. In response, innovative, cost-effective, and scalable technologies for early detection, protection, and management of aquat

Project Information FAQ

Project Information

5 Q
The project “Detection, prevention, management, and scalable technologies for harmful algal bloom reduction” is an infrastructure initiative in the Biomass sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

archived

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

Background: Aquatic nuisance species, including harmful algae, impact USACE waterways, infrastructure, operations, and associated resources across the Nation; it’s estimated that nutrient pollution and harmful algal blooms cause as estimated $1B in lost tourism revenue alone. In response, innovative, cost-effective, and scalable technologies for early detection, protection, and management of aquatic nuisance species are required. Harmful algal blooms are increasing in frequency and duration, resulting in environmental, socio-economic, and human/wildlife health concerns. Future mitigation strategies to reduce these impacts is critical to USACE mission. This research effort focuses on the early detection, protection, and management of harmful algal blooms within the Western Lake Erie Basin, and throughout the Ohio region. Research to address the need to improve capabilities and technologies to respond to, and to mitigate, harmful algal bloom events is needed. Technologies that can be scaled to demonstrate physical, chemical, or biological mitigation approaches to manage harmful algal blooms is particularly needed. Brief Description of Anticipated Work: This research will focus on the following objectives: Objective 1: Develop and demonstrate a process or technology for the reduction of harmful algal bloom (HAB) events through 1) decreased number of events, 2) limiting formation of biomass and toxicity in a HAB bloom, 3) early and rapid detection of HAB, or 4) mitigating algal biomass and toxins after an event, through physical, chemical, AND/OR biological processes. Objective 2: Field demonstration of a process or technology that mitigates a HAB event; the process or technology can demonstrate reduction in biomass and toxicity AND/OR demonstrate reduction in available nutrients feeding the bloom within an aquatic system. Objective 3: Demonstrate potential scalability of the process or technology to encompass a large HAB event or large spatial extent. Public Benefit: Harmful algal blooms are increasing in number of events, spatially, and intensity in lakes, reservoirs, and rivers across the nation. Widespread harmful algal blooms result in public health concerns and economic impacts estimates at $4.5B in Florida alone. The proposed research will increase early detection, prevention, and management of harmful algal blooms before, during, and after an event; scalable technology is also critical to managing a harmful algal event. This information is critical to develop future mitigations strategies to reduce environmental, socio-economic, and human/wildlife health concerns resulting from harmful algal blooms.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data