United States Army Corps Research Articles

From single to multi‐purpose reservoir: A framework for optimizing reservoir efficiency

AbstractThe prevailing challenge centers on the limited application of single‐purpose flood control reservoirs transitioning to multi‐purpose reservoirs, which, despite their potential, often fall short in addressing the escalating demands for diverse water resource management. These challenges are compounded by outdated operational rules and changing environmental conditions. This research develops a framework to enhance the dual functionality of reservoirs, initially designed for flood control, to also support water supply through the determination of maximum safe water levels (MSWLs). Utilizing historical inflow data and reservoir simulation models, the study identifies opportunities for optimizing United States Army Corps of Engineers Louisville District reservoirs. It highlights certain reservoirs as ideal for augmenting water supply capabilities without compromising flood control performance. Others remain critical for flood management due to limited water supply potential, underscoring the importance of maintaining a focus on flood control. The findings illuminate the intricate balance required between managing flood risks and enhancing water supply, indicating that precise operational adjustments can significantly improve reservoir sustainability and efficiency. This method offers a viable pathway to convert single purpose reservoirs into multi‐purpose reservoirs, meeting growing water demands while ensuring robust flood mitigation, and making a step toward better water utilization.

Review paper on applications of the HEC-RAS model for flooding, agriculture, and water quality simulation

ABSTRACT The Hydrologic Engineering Center (HEC) of the United States Army Corps of Engineers (USACE) has developed the HEC-River Analysis System (RAS) hydraulic channel flow model as part of its portfolio of hydrologic and hydraulic modeling tools. HEC-RAS is a new version with capabilities to model flooding, modeling for agriculture production computations for water quality, and many more related to hydraulic modeling. The analysis components of the HEC-RAS system include one-dimensional steady flow water surface profile computations, one-dimensional and or two-dimensional unsteady flow simulation, one-dimensional and two-dimensional computations of quasi-unsteady or fully unsteady flow movable boundary sediment transport, and one-dimensional water quality analysis. The main objective of this paper is to review the use of HEC-RAS on flooding, agriculture, and water quality. The three primary components of the data input are plan data, geometry data, and flow data. Three of these scenarios applied to HEC-RAS and were proven by previous reviewers.

Re-examining Geospatial Online Participatory Tools for Environmental Planning.

Geospatial online participatory tools, or geo-OPTs, are increasingly used worldwide for engaging the public in planning. Yet, despite growth in the adoption and use of geo-OPTs, and the growing scholarship to accompany it, our understanding of their ability to support public participation in environmental planning is still underdeveloped. In this paper, we investigate the application of a geo-OPT by the United States Army Corps of Engineers (USACE), a leading water management agency in the United States, in three contextually and geographically diverse cases. Through a combination of document analysis, interviews, and participant observation, we examine the processes and dynamics associated with the development and use of the geo-OPT Crowdsource Reporter. Our findings highlight the importance of managing geo-OPTs not in isolation or as a panacea but rather as part of a broader planning process that recognizes the complexity and significance of communication in geo-OPT processes. Although it may be tempting and seemingly simple to create and launch these online tools, our research reveals how a lack of intention early on may lead to underuse or misapplication of the tool. More significantly, real damage can be done, like increased public frustration and alienation, resulting in breakdown in communications or even worsening public relations for federal agencies.

Community-Centric Approaches to Coastal Hazard Assessment and Management in Southside Norfolk, Virginia, USA

Urban communities in environmentally sensitive areas face escalating challenges due to climate change and inadequate infrastructural support, particularly in underserved regions like southside Norfolk, Virginia. This area, characterized by its vulnerability to flooding and a predominantly low-income population, lacks equitable inclusion in broader urban flood protection plans. This research focuses on the development of community-centered resilience strategies through active engagement and collaboration with local residents. The methodology centered around building trust and understanding within the community through a series of interactions and events. This approach facilitated a two-way exchange of information, enabling the research team to gather crucial insights on community-valued assets, prevalent flooding issues, and preferred flood mitigation solutions. The engagement revealed a significant increase in community knowledge regarding climate change, sea level rise, and stormwater management. Residents expressed a strong preference for green infrastructure solutions, including rain gardens, permeable pavements, and living shorelines, alongside concerns about pollution and the need for infrastructure redesign. The outcomes of this community engagement have initiated plans to develop tailored, nature-based flooding solutions. These results are set to inform future urban planning and policy, offering insights to the City of Norfolk and the United States Army Corps of Engineers for potential redesigns of flood intervention strategies that are more inclusive and effective. A template for participatory research to inform coastal hazard management includes cross-sector collaboration, a long-term engagement commitment, and education and surveying opportunities to align solutions to lived, local experiences. This template allows for community trust building, which is especially important in environmental justice communities. The study highlights the importance of community involvement in urban resilience planning, demonstrating that local engagement is essential in shaping community-centric solutions and equitable environmental policies.

Machine learning motivated data imputation of storm data used in coastal hazard assessments

In the Coastal Hazards System's (CHS) Probabilistic Coastal Hazard Analysis (PCHA) framework developed by the United States Army Corps of Engineers (USACE), historical records of tropical cyclone parameters have been used as data sources for statistical analysis, including fitting marginal distributions and measuring correlations between storm parameters. One limitation of the available historical databases is that observations of central pressure and radius of maximum winds are not available for a large number of storms. This may adversely affect the results of statistical analyses used to develop hazard curves. This study uses machine learning techniques to develop a data imputation method to “fill in” missing storm parameter records in historical datasets used for Joint Probability Method (JPM)-based coastal hazard analysis such as the USACE's CHS-PCHA. Specifically, Gaussian process regression (GPR) and artificial neural network (ANN) models are investigated as candidate machine learning-derived data imputation models, and the performance of different model parameterizations is assessed. Candidate imputation models are compared against existing statistical relationships. The effect of the data imputation process on statistical analyses (marginal distributions and correlation measures) is also evaluated for a series of example coastal reference locations.

Planning and design of three USACE New York District projects

The United States Army Corps of Engineers (USACE) New York District (NYD) has had a tremendous impact on an approximately $6 billion comprehensive coastal storm risk management program in the last 10 years since Hurricane Sandy caused significant damage in the New York (NY) and New Jersey (NJ) area. There was 2013- 2014 emergency repair and restoration to existing beach nourishment and navigation projects, but also USACE NYD accomplished the planning and design for multiple coastal storm risk management projects in the NY and NJ area. Of those projects, specific coastal risk reduction features are described for the Sea Bright to Manasquan, NJ; East Rockaway Inlet to Rockaway Inlet, NY; and Montauk Point Lighthouse Stabilization, NY. The planning and design for these projects exemplifies resilience principles and planned adaptability to withstand the challenges of the dynamic coastal environment. The USACE NYD is faced with numerous challenges such as environmental restrictions, politics, real estate, sea level change, etc.; the magnitude of coastal planning, design and construction that has occurred over these past 10 years for the NYD studies and projects demonstrates the fortitude of collaboration combined with current and innovative engineering principles.

Establishing Chronic Toxicity Effect Levels for Zebrafish (Danio rerio) Exposed to Perfluorooctane Sulfonate.

Zebrafish (Danio rerio) are among the aquatic species most sensitive to perfluorooctane sulfonate (PFOS). Environmental regulatory agencies and researchers use effect benchmarks from laboratory zebrafish PFOS toxicity studies in PFOS-spiked water to calculate PFOS aquatic life criteria. Threshold values as low as 0.7 µg/L (identified in an early, limited scope study) have been used in criteria derivation and site-specific aquatic ecological risk assessments. The present study reviews PFOS effects benchmarks for lethality, growth, and reproduction endpoints from more than 20 zebrafish toxicity studies, including a recent multigenerational study conducted by the United States Army Corps of Engineers Engineer Research & Development Center. Our review of 12 key studies examining long-term, chronic exposures (including multigenerational exposures of 300 days or more) indicated that 0.7 µg/L should not be used as a conservative screening threshold given that effects could not be repeated at this concentration by the recent enhanced multigenerational study. Based on this finding and multiple chronic sublethal studies on PFOS in zebrafish, chronic effects on lethality, growth, and reproduction occur at concentrations two orders of magnitude higher than 0.7 µg/L. Overall, the present review indicates a no-effect screening level of 31 µg/L and a low-effect screening level of 96 µg/L should be used to develop PFOS aquatic life criteria and to inform site-specific ecological risk assessments that are charged with evaluating risks to freshwater fish. Environ Toxicol Chem 2024;43:7-18. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Stakeholder collaboration in the forecast-informed reservoir operations (FIRO) pilot project at Lake Mendocino, California

PurposeWater is a critical and contentious resource in California, hence any changes in reservoir management requires coordination among many basin stakeholders. The Forecast-Informed Reservoir Operations (FIRO) pilot project at Lake Mendocino, California explored the viability of using weather forecasts to alter the operations of a United States Army Corps of Engineers (USACE) reservoir. The pilot project demonstrated FIRO's ability to improve water supply reliability, but also revealed the key role of a collaborative Steering Committee. Because Lake Mendocino's Viability Assessment did not explore the features of the Steering Committee, this study aims to examine the relationships and interactions between Steering Committee members that supported FIRO's implementation at Lake Mendocino.Design/methodology/approachThe project identified 17 key project participants who spoke at a FIRO workshop or emerged through chain-referrals. Using semi-structured interviews with these participants, the project examined the dynamics of human interactions that enabled the successful multi-institutional and multi-criteria innovation as analyzed through text-coding.FindingsThe results reveal the importance for FIRO Steering Committee members to understand the limitations and constraints of stakeholder counterparts at other organizations, the importance of building and safeguarding relationships, and the role of trust and belonging between members. The lessons learned suggest several interventions to support successful group collaboration dynamics for future FIRO projects.Originality/valueThis study identifies features of the Steering Committee that contributed to FIRO's success by supporting collaborative negotiations of infrastructure operations within a multi-institutional and multi-criteria context.

Evaluation of a wheel-based seismic acquisition system for a planetary rover

Prior to using in-situ planetary resources, efficient mapping of geochemical and physical characteristics of the near surface will be required. As part of an integrated geophysical instrument suite on exploration and prospecting vehicles, we investigated the suitability of seismic piezo-sensors rigidly mounted on the interior of a generic rover wheel. Factors that can compromise proper data acquisition for this system include the natural mechanical resonance of the wheel and wheel-to-ground coupling. We characterized the natural resonance frequency bands of a generic wheel with an electromagnetic shaker. We also collected seismic shot gathers for subsequent seismic surface-wave analysis using a wheel in both a dry, laboratory sand tank (1.8 × 1.8 × 0.6 m) and in frozen loess soils within the United States Army Corps of Engineers Permafrost Tunnel in Alaska. For our wheel, self-weighted coupling to the ground was found to be adequate, although suitable wheelbase dimensions can constrain field acquisition geometries. In unconsolidated sediments, represented by medium sand (0.25–0.5 mm), wheel resonance of 1 kHz does not affect the fundamental mode used in shear-wave-velocity-to-depth inversion. When analyzed, shot-gather data collected from both wheel-mounted sensors and sand-planted sensors, in loose dry sand, effectively captured similar fundamental surface-wave modes. This is evident in frequency-versus-phase velocity dispersion images. Because narrow frequency bands of wheel resonance exhibit a high signal-to-noise ratio, they also readily detect lateral attenuation changes. Thus, wheel resonance can also be used to capture soil attenuation changes, including those produced when pore H2O ice acts to cement the regolith or loose-grained soils.

Evaluation of weather-productivity models of construction labour for tropics

PurposeWeather is one of the main factors affecting labour productivity. Existing weather-productivity models focussed on hot and cold climates paying less attention to the tropics. Many tropical countries are expected to be the most areas affected by accelerated climate change and global warming, which may have a severe impact on labour health and productivity. The purpose of this paper is to assess whether the existing models can be used to predict labour productivity based on weather conditions in the tropics.Design/methodology/approachFive models are identified from the literature for evaluation. Using real labour productivity data of a high-rise building project in Malaysia, the actual productivity rate was compared with predicted productivity rates generated using the five models. The predicted productivity rates were generated using weather variables collected from an adjusting weather station to the project.FindingsCompared with other models evaluated in this paper, the United States Army Corps of Engineers (USACE) was found to be the best model to predict productivity based on the case study data. However, the result shows only a 57% accuracy level of the USACE model indicating the need to develop a new model for the tropics for more accurate prediction.Originality/valueThe result of this study is perhaps the first to apply meteorological variables to predict productivity rates and validate them using actual productivity data in the tropics. This study is the first step to developing a more accurate productivity model, which will be useful for project planning and more accurate productivity rate estimation.

Wave power trends along the U.S. coastline: in situ measurements and model hindcast estimates

Observational data are successfully assessed to investigate wave power (wave energy flux per unit of wave-crest) trends within four coastal regions around the US, a parameter that is deemed vital to those responsible for coastal protection and community resilience. This study tests for shifting observational inter-annual wave power trends using a newly developed, unique, United States Army Corps of Engineers Quality Controlled Consistent Measurement Archive, and offers a viable methodology to remove documented observational time series data discontinuations. This study is one of the first to show spatially and temporally comparative observational and model wave power results, providing new information on the accuracy of model wave power estimates, while showcasing in situ wave power trends at 29 sites around the U.S. coastline. Overall, the majority of the eastern Pacific Ocean and Hawaii wave power trends are downward, with mixed slope wave power trends apparent within the Atlantic Ocean and the Gulf of Mexico. Observational and model results are similar with respect to timing, but not magnitude, of wave power peaks in long-term inter-annual trends, with the moored buoy data presenting smaller wave power ranges for two (eastern Pacific Ocean and Hawaii) of the four regions. Additionally, the detection of a noticeable variability in the wave power trend direction within each region suggests that site-specific wave power trends should not be generalised to represent a large region. This work demonstrates that observational data are essential in local and regional wave climate studies to accurately estimate wave power for coastal planners and engineers.

Prevalence of Pelvic Floor Disorders in United States Active-Duty Service Women Seeking Medical Care.

In the United States, pelvic floor disorders affect 25% of women. Despite facing unique occupational risk factors that may increase the risk of pelvic floor disorders, there is little research on the prevalence of these disorders in active-duty service women. This study sought to identify the prevalence of and risk factors for pelvic floor disorders in active-duty service women in the United States from diagnostic codes through service utilization. Utilizing the Military Health System Data Repository, a cross-sectional study was conducted of all active-duty service women in the United States Army, Air Force, Navy, and Marine Corps during fiscal years 2010 to 2019. This study identified 497,255 active-duty service women of whom 9.93% had pelvic floor disorders. Adjusted regression model analyses indicated increasing parity and body mass index significantly affect the risk of pelvic floor disorders. Active-duty women with 3 or more births were 3 times more likely to have pelvic floor disorders compared with the nulliparous group. Finally, subset analysis indicates the risk of pelvic floor disorders were increased 250% in obese women and decreased 20% for underweight women. The rate of pelvic floor disorders appears to be increasing among active-duty women. Active-duty service women have significantly lower rates of pelvic floor disorders compared with the general population, possibly due to the protective effects of improved weight management and physical fitness requirements for their job performance. However, pelvic floor disorders may be uptrending and need continued monitoring.

Drones, virtual reality, and modeling: communicating catastrophic dam failure

ABSTRACT Dam failures occur worldwide and can be economically and ecologically devastating. Communicating the scale of these risks to the general public and decision-makers is imperative. Two-dimensional (2D) dam failure hydraulic models inform owners and floodplain managers of flood regimes but have limitations when shared with non-specialists. This study addresses these limitations by constructing a 3D Virtual Reality (VR) environment to display the 1976 Teton Dam disaster case study using a pipeline composed of (1) 2D hydraulic model data (extrapolated into 3D), (2) a 3D reconstructed dam, and (3) a terrain model processed from UAS (Uncrewed Airborne System) imagery using Structure from Motion photogrammetry. This study validates the VR environment pipeline on the Oculus Quest 2 VR Headset with the criteria: immersion fidelity, movement, immersive soundscape, and agreement with historical observations and terrain. Through this VR environment, we develop an effective method to share historical events and, with future work, improve hazard awareness; applications of this method could improve citizen engagement with Early Warning Systems. This paper establishes a pipeline to produce a visualization tool for merging UAS imagery, Virtual Reality, digital scene creation, and sophisticated 2D hydraulic models to communicate catastrophic flooding events from natural or human-made levees or dams. Abbreviations: ASDSO: Association of State Dam Safety Officials; DEM: digitalelevation model; EWS: Early Warning System; HEC-RAS: Hydrologic EngineeringCenter-River Analysis System; HMD: Head-Mounted Display; NOAA: NationalOceanic and Atmospheric Administration; Reclamation: Bureau of Reclamation; United States Agency; SfM: Structure from Motion; 1D: one-dimensional; 2D:two-dimensional; 3D: three-dimensional; UAS: Uncrewed Aerial System (drone); US:United States; USACE: United States Army Corps of Engineers; VR: VirtualReality

Southwest Pass Sedimentation and Dredging Data Analysis

Abstract The United States Army Corps of Engineers (USACE) maintains the Mississippi River, Baton Rouge, Louisiana, to the Gulf of Mexico Project as part of its Navigation mission to enable safe, r...

Little Island: Its big journey through legal battles

Little Island, also known as Pier 55, is a futuristic-looking 2.4-acre public park with performance venues out to the Hudson River in New York City. The project is primarily funded by the media mogul Barry Diller through the Diller–von Furstenberg Family Foundation. The project is part of the Hudson River Park but operates as a tax-exempt non-profit private entity on which the Foundation holds a 20-year lease. During its development process, the project was criticised by many for its controversies; this led to a lawsuit City Club of New York v. Hudson River Park Trust (2015) in the hope of prohibiting the construction of the island. The petition states that the Trust violated the public trust doctrine, State Environmental Quality Review Act (SEQRA) and City Environmental Quality Review (CEQR), and the park violates the Hudson River Park Act and its accompanying regulations. The Supreme Court of New York State denied the petition and dismissed the proceeding. In 2017, the project faced another lawsuit, City Club of New York v. United States Army Corps of Engineers (2017), concerning the unlawful construction permit issuance. The New York Southern District Court ruled that the Corps violated the Clean Water Act and the Administrative Procedure Act as it failed to consider the environmental impact of the construction in the estuarine sanctuary, but the issues were resolved subsequently. Despite the victory, the project was terminated but revived again with a pledging deal made by the then New York state governor Andrew Cuomo in 2018. The project is now completed and opened to the public in 2021. Little Island epitomises a compelling private-made-public development in New York City during modern times; its challenges and drawbacks from the legal, community and environmental perspective, including the environmental concerns, regulation violations and the fear of capitalisation on public property, are widely applicable to other developments in New York City and beyond.

Flood mitigation data analytics and decision support framework: Iowa Middle Cedar Watershed case study

Flooding is one of the most frequent natural disasters, causing billions of dollars in damage and threatening vulnerable communities worldwide. Although the impact of flooding can never be diminished, minimizing future losses is possible by taking structural or non-structural mitigation actions. Mitigation applications are often costly practices. However, they can be more feasible for long-term planning and protection. On the other hand, selecting a feasible option requires a comprehensive analysis of potential risk and damages and comparing the costs and benefits of different mitigation types. This paper presents a web-based decision support framework called Mitigation and Damage Assessment System (MiDAS) that analyzes flood risk impacts and mitigation strategies at the community and property-level with the goal of informing communities on the consequences of flooding and mitigation alternatives and encouraging them to participate in the community rating system. The framework utilizes regulatory flood inundation maps, damage functions, property information, scenario-based climate projections, and mitigation inputs and guidelines from the Federal Emergency Management Agency (FEMA) and the United States Army Corps of Engineers (USACE). It will help users select the appropriate flood mitigation measures based on various characteristics (e.g., foundation type, occupancy, square footage) and provide cost estimates for implementing measures. The system also provides a decision tree algorithm for analyzing and representing the mitigation decision by reviewing existing guidelines (e.g., FEMA, USACE). We analyzed the community-level mitigation for three major cities in Eastern Iowa (Cedar Falls, Cedar Rapids, and Waterloo) and found certain measures (e.g., wet/dry floodproofing) are cost-effective for community-level mitigation. Implementation of mitigation measures can reduce the property's vulnerability and improve the response to a flooding event.

Vulnerability curves for masonry buildings affected by hyperconcentrated flows as natural disaster risk management tools for the quantification of material damage

The damage assessment caused by floods, earthquakes, hurricanes among others phenomenons in the world are analyzed with methodologies such as “Vulnerability curves”. In Peru, disasters caused by hyperconcentrated flows are alarming due to a climatic variability such as the “El Niño Costero” phenomenon. Therefore, this research has developed vulnerability curves for 1 and 2-story confined masonry buildings in Urb. San Idelfonso, Ica - Peru; linking the variables: flow depth, associated with the event produced by heavy rains at the top of the “Quebrada Cansas” caused by the “El Niño Costero” phenomenon in 2017, and the percentage of the damage based on the methodology of the United States Army Corps of Engineers (USACE), whose formula is the repair value and total building value. The monetary amounts and items of the buildings are obtained from the RM 415-2017-VIVIENDA of the Ministry of Housing, Construction and Sanitation of Peru. The process consisted of hydrological modeling in HEC-HMS, hydraulic modeling in FLO-2D, damage percentage estimate and vulnerability curves production. Finally, the vulnerability curves for hyperconcentrated flows were contrasted with similar studies regarding curves for flooding and debris flow. The results of the investigation showed that the “El Niño Costero” phenomenon in 2017 had an economic impact of at least 1.3 million soles in Urb. San Idelfonso. In addition, at least 24 buildings had a complete damage and 21 buildings an extensive damage.

A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building

This paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m2 (3,531 ft2) all-electric, zero energy commercial building in Virginia, USA. Over two years of energy use data were collected at 1-hour intervals using circuit-level energy monitors. Over six years of solar energy production data were measured at 1-hour resolution by 56 microinverters (presented as daily and monthly data in this dataset). The building air leakage data was measured post-construction per ASTM-E779 Standard Test Method for Determining Air Leakage Rate by Fan Pressurization and the United States Army Corps (USACE) Building Enclosure Testing procedure; both pressurization and depressurization results are provided. The architectural and engineering (AE) documents are provided to aid researchers and practitioners in reliable modeling of building performance. The paper describes the data collection methods, cleaning, and convergence with weather data. This dataset can be employed to predict, benchmark, and calibrate operational outcomes in zero energy commercial buildings.

A Multi-Reservoir Study of the Impact of Uncertainty in Pool Evaporation Estimates on Water-Availability Models

Quantifying evaporative loss from reservoirs plays a critical role in sound water-availability management plans and in reservoir management. Various methods are used to quantify reservoir evaporation; however, each method carries a degree of uncertainty that propagates to model predictions of available water within a reservoir or a reservoir network. Herein, we explore the impact of uncertainty in reservoir evaporation on model outputs of historical and future water availability throughout the five major reservoirs in the Savannah River Basin in South Carolina, USA, using four different evaporation methods. Variability in the total available water is evaluated using the United States Army Corps of Engineers (USACE) 2006 Drought Contingency Plan hydrologic model of the Savannah River Basin, which incorporates recent water-management plans and reservoir controls. Results indicate that, during droughts, reservoir evaporation plays a large role in water-availability predictions, and uncertainty in evaporative losses produces significant uncertainty in modeled water availability for extreme events. For example, the return period for an event in which the availability of water in Lake Hartwell was reduced to 50% of full pool capacity varied from 38.2 years to 53.4 years, depending on the choice of evaporation parameterization. This is a variation of 40% in the return period, depending on the choice of evaporation method.

Suitability of mine waste rocks as earth tailing storage embankment materials: environmental risk assessments

Large volume of waste rocks is produced during mining activities in Nigeria and these waste rocks are deemed to be resourceful as embankment fills. This paper evaluates the stability of barrier engineering structures build using such waste rocks. To assess this, a total of 18 waste rock samples were collected from evenly designated units of three Nigerian mine sites, namely Enyigba, Itakpe, and Jos mine sites. Each of the samples was subjected to sieve, Atterberg, triaxial, compaction, consolidation, and permeability tests to determine the geotechnical characterizations of the waste rocks as embankment fill materials. The samples were further subjected to X-ray diffraction (XRD) and atomic absorption spectrometer (AAS) tests to ascertain the heavy metals’ concentrations of the samples. Results of these tests were analyzed using GeoStudio geo-environmental software suite to generate the relevant numerical and graphical simulation models. Laboratory data revealed that the waste rocks are competent engineering materials with intermediate shear strength capable of supporting earth structures. This agrees with the simulation results which suggested that factors of safety would, respectively, be above 1.9 and 3.8 at the downstream and upstream reaches of the proposed embankments during normal (steady state) operation. Nevertheless, the factor of safety values could drop to as low as 1.0 at the upstream during transient (drawdown) conditions. The value indicated critical stability that could lead to slope failure and it is less than the minimum limits recommended by the United States Army Corps of Engineers and the Canadian Dam Association for an upstream FOS during a reservoir drawdown. Thus, the critical unloading conditions of the embankments are unsafe. Evidences from advection–dispersion analysis revealed that 22–31,120% of contaminants from polluted impounded ponds may exit through the embankments in the first decade of the dams’ operation. These anticipated environmental impacts underscore the need for stabilization of the proposed structures to improve both stability and barrier efficiency.