16 Jul 2026

The Forecast-Informed Reservoir Operations (FIRO) Screening Process: Stage A Development and National Results

Abstract: Forecast-Informed Reservoir Operations (FIRO) pilots demonstrate the potential to use modern forecasting methods to manage water more effectively. Growing demand for water, coupled with rising incidence of both drought and flood conditions, creates urgency for adapting reservoir operations. The FIRO Screening Process is a US Army Corps of Engineers (USACE) effort to gauge readiness for and provide a point of entry to the FIRO approach. Screening identifies USACE reservoirs that might be candidates for FIRO implementation. This report offers an overview of Stage A of the FIRO Screening Process, which eliminates sites with prohibitive barriers to FIRO (e.g., no controlled outlet, no water control plan, poor forecast skill). Stages B and C entail more in-depth assessments of potential benefits and challenges of implementing FIRO at a site. This report provides an overview of the screening approach, the development of Stage A, and results from screening the national portfolio of USACE reservoirs. Stage A eliminated 184 reservoirs (31 percent) of the national portfolio from further consideration for FIRO. The 409 sites (69 percent) of the national portfolio that passed Stage A are eligible for further screening of FIRO suitability in Stage B.

15 May 2026

Application of Rapid Response Reporting Tools to Improve Harmful Algal Bloom Management: US Army Corps of Engineers (USACE)–Omaha District

Abstract: Harmful algal blooms (HABs) pose significant threats to critical water resources, including potable water supply, fish and wildlife propagation, recreation, and overall water quality, managed by the US Army Corps of Engineers (USACE). To address these challenges, USACE needs innovative technologies that can enhance monitoring and management across the diverse portfolio of inland waterbodies they oversee. This technical report presents a case study from the Omaha District in which open-source software (R), satellite imagery, and traditional water quality parameters were integrated to produce near-real-time reports to improve HAB monitoring and management. The approach enabled timely identification of the areas most susceptible to HABs and provided actionable data to inform management strategies, such as hypolimnetic withdrawal, and other management actions. The findings demonstrate that combining remote sensing with open-source analytics can serve as a proof of concept for improving the efficiency of HAB monitoring programs. Ultimately, these tools facilitate more responsive decision-making by reducing resource demands and establishing a foundation for broader adoption of open-source tools in HAB management across USACE districts.

29 Aug 2025

Adaptive Management Framework for Microseira wollei in Lake St. Clair, Michigan

Abstract: Microseira wollei has grown to problematic densities within Lake St. Clair, located between Lake Erie and Lake Huron. Though stakeholders have issued a call-to-action for the management of M. wollei, no substantive plan exists, which was the impetus for this adaptive management framework. Field surveys, emerging technologies, laboratory evaluations, and a literature review were integrated to develop this site-specific frame-work. Adaptive management consists of a series of iterative steps to define and characterize the issue; identify goals, plan, and prioritize; determine a plan; implement management; measure the outcomes; and adapt and re-fine the plan. M. wollei is widely distributed within the study area and across large sections of the lake bed. Due to its large spatial extent, long-term management should focus on regaining and maintaining uses within Lake St. Clair that have been affected by shoreline accumulations. Mechanical removal is anticipated to be the most effective tool; however, the potential addition of algaecides or nutrient sequestration products could be explored for increased effectiveness. The planning and execution of a substantive management plan for M. wollei in Lake St. Clair are outlined and described, but effective management will require a concerted effort on a scale that matches the scope of the problem.

16 Jun 2025

Development of Innovative Cyanophage-Based Biotechnology for Harmful Cyanobacterial Blooms Mitigation: Interim Progress Report

Abstract: Freshwater harmful cyanobacteria blooms (HCBs) are caused by toxin-producing cyanobacteria. Current efforts to prevent and mitigate HCBs include physical and chemical treatments, as well as manipulating the nutrient input and biological ecosystem of impacted water bodies. However, the development of remediation technologies lags behind the increasing frequency, prevalence, and severity of HCBs and their associated adverse health effects and socioeconomic losses. It is difficult to control the side effects of these remediation technologies due to their interactions with nontarget species, including microbes, plants, and animals. This project proposed the use of cyanophages, an abundant natural resource, to control HCBs in a target-specific manner. Here, the results of Year 1 of this effort are reported. Environmental field samples were collected, processed, and characterized morphologically and molecularly. Assays were refined for isolating and characterizing lytic environmental cyanophages. Cryopreservation methods were tested on pure cyanobacteria cultures, while well-characterized cyanophages were used to verify methods to retain infectivity for over 1 year. Methods to induce lysogenic phages to enter their lytic cycle were also explored. The goal was to develop a novel cyanophage-based biotechnology for HCBs mitigation by turning field-collected cyanophages into genetically modified (GM) or non-GM biocontrol agents to disrupt HCBs.

17 Oct 2024

Literature Review of Microseira wollei Distribution, Environmental Drivers, and Risks: Lake St. Clair, Michigan, Case Study

Abstract: Microseira wollei (formerly Lyngbya wollei) has grown to noxious densities within Lake St. Clair, located between Lake Erie and Lake Huron. De-spite the limited data on this cyanobacterium within Lake St. Clair, data exists for M. wollei within the Great Lakes region and in the southeastern United States, where water resource managers have been managing growths for decades. These data provide pertinent insights into the environmental distribution, environmental drivers, risks, and management of M. wollei, which is mainly distributed within eastern states and provinces in North America, from Canada to Florida. Environmental drivers may be site-specific and specific to the M. wollei population; therefore, the environmental drivers identified in this literature review are a starting point to inform further investigations. M. wollei within Lake St. Clair may pose risks to humans. Risks may originate from toxins, disinfection by-products, and, potentially, fecal indicator bacteria. M. wollei has the potential to produce a range of toxins; however, the most prevalent toxins are saxitoxins, a group of neurotoxins. This literature review will help the US Army Corps of Engineers Detroit District; Macomb County, Michigan; and other interested parties understand potential triggers for growth, communicate risks, and help develop an adaptive management framework.

6 Jul 2023

A Review of Sensor-Based Approaches for Monitoring Rapid Response Treatments of cyanoHABs

Abstract: Water quality sensors are dynamic and vary greatly both in terms of utility and data acquisition. Data collection can range from single-parameter and one-dimensional to highly complex multiparameter spatiotemporal. Likewise, the analytical and statistical approaches range from relatively simple (e.g., linear regression) to more complex (e.g., artificial neural networks). Therefore, the decision to implement a particular water quality monitoring strategy is dependent upon many factors and varies widely. The purpose of this review was to document the current scientific literature to identify and compile approaches for water quality monitoring as well as statistical methodologies required to analyze and visualize highly diverse spatiotemporal water quality data. The literature review identified two broad categories: (1) sensor-based approaches for monitoring rapid response treatments of cyanobacterial harmful algal blooms (cyanoHABs), and (2) analytical tools and techniques to analyze complex high resolution spatial and temporal water quality data. The ultimate goal of this review is to provide the current state of the science as an array of scalable approaches, spanning from simple and practical to complex and comprehensive, and thus, equipping the US Army Corps of Engineers (USACE) water quality managers with options for technology-analysis combinations that best fit their needs.

27 Apr 2023

Stormwater Management Practices, Monitoring, and Maintenance Plan for US Army Garrison at West Point, NY

Abstract: Structural stormwater management practices (SMPs) are designed and installed with the goal of reducing runoff and improving water quality through a variety of built (e.g., underground chamber and filter systems), nature-based and natural features (e.g., rain gardens, swales). In compliance with Section 402 of the US Clean Water Act (CWA), US Army Garrisons at West Point MS4 operators are required to obtain a National Pollutant Discharge Elimination System permit or a New York State Pollutant Discharge Elimination System (SPDES). These permits require development of stormwater management plans to reduce pollutants to meet the appropriate water quality standards. Over 62 structural SMPs have been installed at the US Army Garrison (USAG) to meet permit requirements. Monitoring and maintenance are essential to maintain and understand the effectiveness of these structures, track their maintenance needs, and improve their function. This document provides guidance for conducting stormwater management practice, inspection, and maintenance at the United States Army Garrison at West Point. The objectives are to inform installation managers on general SMP functions and designs, highlight key maintenance triggers affecting SMP functionality, and provide guidance on when and how to conduct inspections and maintenance actions specific to USAG SMPs and in accordance to NYS DEC.

13 Sep 2022

waterquality for ArcGIS Pro Toolbox: User’s Guide

Abstract: Monitoring water quality of small inland lakes and reservoirs is a critical component of the US Army Corps of Engineers (USACE) water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs covering vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al. 2017; Beck et al. 2019; Johansen et al. 2019; Mishra et al. 2019; Stumpf and Tomlinson 2007; Wang et al. 2020; Xu et al. 2019; Reif 2011). To assist USACE water quality management, we developed an Environmental Systems Research Institute (ESRI) ArcGIS Pro desktop software toolbox (waterquality for ArcGIS Pro) founded on the design and research established in the waterquality R software package (Johansen et al. 2019; Johansen 2020). The toolbox enables the detection, monitoring, and quantification of HAB indicators (chlorophyll-a, phycocyanin, and turbidity) using Sentinel-2 satellite imagery. Four tools are available: (1) automating the download of Sentinel-2 Level-2A imagery, (2) creating stacked image with options for cloud and non-water features masks, (3) applying water quality algorithms to generate relative estimations of one to three water quality parameters (chlorophyll-a, phycocyanin, and turbidity), and (4) creating linear regression graphs and statistics comparing in situ data (from field-based water sampling) to relative estimation data. This document serves as a user’s guide for the waterquality for ArcGIS Pro toolbox and includes instructions on toolbox installation and descriptions of each tool’s inputs, outputs, and troubleshooting guidance.

13 Jun 2022

A Review of Empirical Algorithms for the Detection and Quantification of Harmful Algal Blooms Using Satellite-Borne Remote Sensing

Abstract: Harmful Algal Blooms (HABs) continue to be a global concern, especially since predicting bloom events including the intensity, extent, and geographic location, remain difficult. However, remote sensing platforms are useful tools for monitoring HABs across space and time. The main objective of this review was to explore the scientific literature to develop a near-comprehensive list of spectrally derived empirical algorithms for satellite imagers commonly utilized for the detection and quantification HABs and water quality indicators. This review identified the 29 WorldView-2 MSI algorithms, 25 Sentinel-2 MSI algorithms, 32 Landsat-8 OLI algorithms, 9 MODIS algorithms, and 64 MERIS/Sentinel-3 OLCI algorithms. This review also revealed most empirical-based algorithms fell into one of the following general formulas: two-band difference algorithm (2BDA), three-band difference algorithm (3BDA), normalized-difference chlorophyll index (NDCI), or the cyanobacterial index (CI). New empirical algorithm development appears to be constrained, at least in part, due to the limited number of HAB-associated spectral features detectable in currently operational imagers. However, these algorithms provide a foundation for future algorithm development as new sensors, technologies, and platforms emerge.

13 Oct 2021

Optimizing the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS)

Abstract: Harmful algal blooms (HABs) continue to affect lakes and waterways across the nation, often resulting in environmental and economic damage at regional scales. The US Army Engineer Research and Development Center (ERDC) and collaborators have continued research on the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS) project to develop a rapidly deployable and scalable system for mitigating large HABs. The second year of the project focused on optimization research, including (1) development of a new organic flocculant formulation for neutralization and flotation of algal cells; (2) testing and initial optimization of a new, high-throughput biomass dewatering system with low power requirements; (3) development, design, assembly, and initial testing of the first shipboard HABITATS prototype; (4) execution of two field pilot studies of interception and treatment systems in coordination with the Florida Department of Environmental Protection and New York State Department of Environmental Conservation; (5) conversion of algal biomass into biocrude fuel at pilot scale with a 33% increase in yield compared to the previous bench scale continuous-flow reactor studies; and (6) refinement of a scalability analysis and optimization model to guide the future development of full-scale prototypes.