Digital Commons Network^™

Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski

Publications and Research

Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) Phase Ii, Conor T. Gowan, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Shawn P. Mcelmurry

Open Data at Wayne State

Urban soil contaminated with anthropogenic sources of Pb is a major contributor to child Pb exposure. To assess the Pb risk in urban areas, composite samples were collected from 142 voluntary privately owned 142 residential parcels in Detroit, Hamtramck, and Highland Park, Michigan. Samples were collected at two time periods, before and after treatment applied for those denoted as treatment sites. Samples were collected from areas covered with turf grass on the parcels from the front, middle and rear sections. Soils were collected with a bulb planter at approximately 10cm depth and were cleaned with a tap water-Liquinox detergent solution …

Aviation Sustainability & Infrastructure, Eva Maleviti

Publications

MS Aviation & Aerospace Sustainability

What Makes The Embry-Riddle Program Unique?

► Industry-driven program
► Technology pathways
► 100% online asynchronous teaching through Canvas learning platform
► 10 courses/30 U.S. credits hours (60 ECTs) all on Aviation & Aerospace Sustainability topics
► Covers the latest trends in the industry
► Utilizes real case studies

Nebraska Water Center Annual Report 2025

Nebraska Water Center: Administrative Materials

Training Nebraska's future water professionals, research publications, water sciences laboratory impact and know your well curriculums and community impact

Frozen Commons: Food Security And Food Sovereignty In Rural Alaskan Communities And Tribes, Catey Selby, Weiwei Mo

Honors Theses and Capstones

This project explored the challenges, needs, and potential solutions related to food security and food sovereignty in rural Alaskan communities. These communities have long relied on traditional subsistence practices like fishing, hunting, and foraging, but those practices have been increasingly affected by climate change, regulatory restrictions, and commercial overfishing. Key issues identified included shorter hunting seasons, changes in animal migration, unsafe ice conditions, habitat loss, complex land ownership, and permitting barriers. Large-scale commercial fisheries also put additional pressure on subsistence resources, reducing access to traditional food sources.

The project focused on identifying key stakeholders—such as government agencies, tribal organizations, and …

การศึกษาปัจจัยที่มีอิทธิพลต่อประสิทธิภาพการแปลงพลังงานไฟฟ้าของโซลาร์อินเวอร์เตอร์, ณัฐพิมล ณ ลำพูน

Chulalongkorn University Theses and Dissertations (Chula ETD)

ระบบพลังงานแสงอาทิตย์ได้รับความสนใจอย่างมากจากประเทศไทยในการขับเคลื่อนสู่สังคมคาร์บอนต่ำ โดยแผนพัฒนากำลังการผลิตไฟฟ้า พ.ศ. 2567 (PDP2024) กำหนดเป้าหมายเพิ่มสัดส่วนพลังงานหมุนเวียนเป็น 51% โดยพลังงานแสงอาทิตย์จะเป็นหัวใจสำคัญด้วยกำลังการผลิตเป้าหมาย 27,093 เมกะวัตต์ อินเวอร์เตอร์มีบทบาทสำคัญในการแปลงไฟฟ้ากระแสตรงจากแผงโซลาร์เซลล์เป็นไฟฟ้ากระแสสลับ แต่ประสิทธิภาพของอินเวอร์เตอร์ในสภาพภูมิอากาศเขตร้อนชื้นของประเทศไทยยังเผชิญกับความท้าทายจากอุณหภูมิสูง (35-40°C) และความชื้นสูง (70-90%) ตลอดทั้งปี ส่งผลให้เกิดปัญหา Power Derating, การลดอายุการใช้งาน และการกัดกร่อนภายในอุปกรณ์การวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาและวิเคราะห์ปัจจัยที่มีผลต่อประสิทธิภาพของอินเวอร์เตอร์ในระบบพลังงานแสงอาทิตย์ภายใต้สภาพภูมิอากาศเขตร้อนชื้น โดยเน้นการศึกษา 4 ปัจจัยหลัก ได้แก่ การกระจายภาระโหลดระหว่างอินเวอร์เตอร์ (Load Power Balancing), ระบบติดตามจุดกำลังสูงสุด (MPPT), อัตราส่วน DC/AC และอุณหภูมิ เพื่อพัฒนาแบบจำลองทางคณิตศาสตร์หลายตัวแปรและเสนอแนวทางที่เหมาะสมสำหรับระบบขนาดใหญ่ รวมถึงการเปรียบเทียบประสิทธิภาพระหว่าง Central Inverter และ String Inverterวิธีการวิจัยใช้การผสมผสานระหว่างการวิเคราะห์ทางทฤษฎี การจำลองระบบ และการวิเคราะห์ข้อมูลจริง โดยสร้างแบบจำลองการทำงานของอินเวอร์เตอร์ภายใต้สภาวะโหลด 100% แบบเชื่อมต่อกริด และดำเนินการทดลอง ณ จังหวัดชลบุรี ระหว่างเดือนกุมภาพันธ์-สิงหาคม 2025 โดยศึกษาอุณหภูมิแวดล้อม 25-50°C อัตราส่วน DC/AC 1.0-1.8 การกระจายภาระโหลด 0-50% และจำนวน MPPT 2-12 จุด การวิเคราะห์ข้อมูลแบ่งเป็น 3 ส่วน คือ การวิเคราะห์ความสัมพันธ์แบบเชิงเดี่ยวด้วย Simple Linear Regression, การวิเคราะห์ความไว (Sensitivity Analysis) และการวิเคราะห์ความสัมพันธ์แบบหลายตัวแปรด้วย Multiple Linear และ Non-linear Regression Analysisผลการวิจัยที่คาดว่าจะได้รับ ได้แก่ แบบจำลองทางคณิตศาสตร์ใหม่สำหรับการคำนวณประสิทธิภาพอินเวอร์เตอร์ที่เหมาะสมกับสภาพภูมิอากาศเขตร้อนชื้น แนวทางปฏิบัติที่ชัดเจนสำหรับการเลือกประเภทอินเวอร์เตอร์ และการปรับขนาดอัตราส่วน DC/AC ที่เหมาะสม เครื่องมือประเมินประสิทธิภาพอินเวอร์เตอร์ในสภาวะการทำงานจริง รวมถึงข้อมูลสนับสนุนนโยบายพลังงานของประเทศเพื่อบรรลุเป้าหมายใน PDP2024 การวิจัยนี้จะช่วยพัฒนาอุตสาหกรรมพลังงานแสงอาทิตย์ในประเทศไทยให้มีประสิทธิภาพและความน่าเชื่อถือสูงขึ้น ลดต้นทุนการผลิตไฟฟ้า และสนับสนุนเป้าหมายการพัฒนาที่ยั่งยืนในการรับมือการเปลี่ยนแปลงสภาพภูมิอากาศ

Preparing The Built Environment In Grenada For Future Sea Level Rise And Extreme Precipitation Events, Rocco D. Boyd, Meagan P. Duncan, Alivia D. Markham, Adelle K. Novak, Blaizen B. Bloom, Ashawne Edwards, Jai S. Lewis, Hans-Peter Plag

CCPO Publications

[Introduction] Communities across the globe are being affected by climate change in numerous ways. However, those most often affected, especially by sea level rise, are those small island nations that are pressed for space already; this includes the island of Grenada. Grenada is located in the southern portion of the Caribbean and is bordered by the Caribbean Sea (West) and the Atlantic Ocean (East). The planning and development authority (PDA) has been identified as the main stakeholder involved in this case study, but recommendations will be made to all parties involved to best accomplish our mission.

Key stakeholders were initially …

Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Cities, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram

VMASC Publications

An important challenge with Machine Learning (ML) is its transferability; i.e., whether a ML model trained on one set of data can be applied to a second set of data without requiring full re-training of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained on) to the target domain (a second set of data that is statistically different but related, which the model was not trained on). This study investigates the use of TL for street-scale nuisance flood forecasting by exploring whether a ML model trained for one …

Physics-Informed Deep Learning With Kalman Filter Mixture For Traffic State Prediction, Niharika Deshpande, Hyoshin (John) Park

Engineering Management & Systems Engineering Faculty Publications

Accurate traffic forecasting is crucial for understanding and managing congestion for efficient transportation planning. However, conventional approaches often neglect epistemic uncertainty, which arises from incomplete knowledge across different spatiotemporal scales. This study addresses this challenge by introducing a novel methodology to establish dynamic spatiotemporal correlations that captures the unobserved heterogeneity in travel time through distinct peaks in probability density functions, guided by physics-based principles. We propose an innovative approach to modifying both prediction and correction steps of the Kalman Filter (KF) algorithm by leveraging established spatiotemporal correlations. Central to our approach is the development of a novel deep learning model …

A Bridge Too Low: Solutions For Fermi Questions, May 2025, John Adam

Mathematics & Statistics Faculty Publications

The article discusses a low bridge in Keswick, England, near the River Greta, with an arch shaped like a semiellipse. It presents Fermi questions related to the bridge's dimensions, such as the maximum distance a person of a certain height can walk under it without hitting their head. The solutions involve mathematical calculations and approximations, including the use of formulas provided by the Indian mathematician Srinivasa Ramanujan.

Experimental Evaluation Of Corrosion Of Strands And Wires To Estimate Corrosion Rate In Grout And Concrete, Dipendra Shrestha

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Premature failure of prestressed and post-tensioned concrete structures is frequently caused by undetected corrosion of prestressing steel. Although extensive research has addressed corrosion rates in conventionally reinforced concrete, the interpretation of non-destructive parameters, such as half-cell potential (HCP) and concrete/grout resistivity, for estimating corrosion rates in prestressing steel are not adequately investigated.

This research experimentally evaluates chloride-induced corrosion of prestressing steels to establish material-specific relationships between in-situ measurable parameters and corrosion rate. Thirty-six macrocell specimens incorporating plain wires, indented wires, and seven-wire strands in structural concrete and commercial post-tensioning grout- half with pre-formed surface cracks, were subjected to accelerated cyclic …

Stable Oxygen And Hydrogen Isotopic Ratios Of Precipitation And Modelling Of Precipitation Sources In Central Kentucky, Usa, 2017-2022, Ariel Gold-Mccoy

Theses and Dissertations--Civil Engineering

Our goals were to carry out analyses of a multi-year δ¹⁸O and δ²H dataset of precipitation from central Kentucky and to analyze the source of precipitation for storm events from 2017 to 2022. δ¹⁸O and δ²H were measured for 244 weekly precipitation samples collected by the National Atmospheric Deposition Program at Mackville, Kentucky, USA. Modelling precipitation source was carried out using HYSPLIT model for 414 events. Results of δ¹⁸O and δ²H from central Kentucky show: consistent seasonality, including summer highs and winter lows for δ¹⁸O and δ²H; correlation with air temperature; and …

Measuring Accessibility Of Electric Vehicle Charging Infrastructure: A Case Study In Kentucky, Oluwasola Elijah Fagbohun

Theses and Dissertations--Civil Engineering

This thesis assesses spatial accessibility to electric vehicle charging infrastructure across Kentucky by investigating methodological approaches to measure accessibility: provider-topopulation ratios, regional accessibility metrics, and several methods in the family of gravity models. The Enhanced Two-Step Floating Catchment Area method was employed to measure electric vehicle charging station accessibility across Kentucky using a network-based approach in ArcGIS Pro. The analysis integrated 2023 American Community Survey 5-year Census block group data, Kentucky road network datasets, charging station locations from the Alternative Fuels Data Center, and Alternative Fuel Corridor designations. We examined existing infrastructure and proposed stations outlined in the Kentucky electric …

Advancing Vapor Intrusion Science Using Systematic Frameworks To Foster Informed Decision Making, Hong Cheng Tay

Theses and Dissertations--Civil Engineering

Vapor intrusion, the migration of subsurface vapors into indoor air spaces, is an important source of indoor air contamination to consider at hazardous waste sites contaminated by volatile organic compounds (VOCs). There is considerable uncertainty and variability in the factors that influence vapor intrusion processes, which poses a significant challenge for decision making, despite advancements in vapor intrusion science. This dissertation consolidates knowledge from existing scientific advances and investigates scientific gaps associated with the vapor intrusion preferential pathway conceptual model (i.e. conduit vapor intrusion), associated with the vapor entry pathway into buildings via sewer systems. The overall goal of this …

An Investigation Of The Legitimacy Of The Underlying Assumptions Of The Scs Curve Number Method By Application To Actual Urban Watersheds, Robert K. Peterson

Theses and Dissertations--Civil Engineering

The Soil Conservation Service (SCS) Curve Number (CN) method is widely used to estimate direct runoff, and its TR-55 urban-adapted Curve Numbers are commonly applied in stormwater design. However, the underlying assumptions of the method have been the subject of contemporary review, and concerns remain that these values underestimate runoff in actual urban watersheds. This study evaluates the performance of TR-55 CNs using rainfall–runoff data from twenty real-world urban watersheds in the National Stormwater Quality Database.

Empirical Curve Numbers were derived using two calibration techniques, the asymptotic CN method (CN∞) and a nonlinear least-squares optimization method (CN_LS), and …

Earthquake Wrangler: Leveraging Ios Technology For Earthquake Detection And Early Warning Application To Enhance Public Safety., Luis F. Salome

Theses and Dissertations--Civil Engineering

Earthquakes are devastating natural phenomena and generate secondary hazards such as tsunamis, landslides and fires. Their catastrophic impacts span both developed nations including the United States, Japan, Turkey, and Italy and developing countries such as El Salvador, Haiti, Nepal and the Philippines, where disparities in early warning infrastructure remain important. Seismic events start with stress waves generated by tectonic plate motion, with body waves (P- waves and S-waves) and surface Rayleigh and love waves that carry energy through the earth. While some regions have adopted advanced early warning systems based on seismic hazard models and strong ground motion analysis, others …

Development Of Generalizable Data-Driven Traffic State Prediction Solutions: A Comprehensive Approach, Md Mobasshir Rashid

Graduate Thesis and Dissertation post-2024

Increased urbanization and population growth lead to more traffic in the transportation system, causing severe congestion. Particularly during disruptive events such as hurricanes or traffic incidents, the traffic flow in the network worsens significantly. As a result, there is a need for data-driven traffic prediction models to reduce congestion in real-time, and the prediction model should be generalizable to be applicable across different dynamic scenarios. Additionally, a robust and adaptable traffic prediction model can help traffic managers to take proactive actions to optimize traffic flow. However, the majority of data-driven traffic prediction models suffer from limited applicability as they are …

Citizen-Centric Building Energy Retrofits: Understanding And Supporting Citizens As Occupants, Participants, Decision-Makers, And Learners In Home Energy Retrofits, Nikhil Singh Yaduvanshi

Civil Engineering Dissertations - Archive

Residential building retrofits remain significantly under-adopted despite substantial technological advances, economic incentives, and policy efforts, creating a critical gap between technical potential and actual implementation in achieving climate goals. Assessment of citizen involvement in building retrofit processes plays a critical role in formulating effective home retrofit program designs to ensure maximum adoption rates and avoid energy waste. Although, existing retrofit programs and decision-making models recognize the importance of citizen involvement, the extent of citizen capabilities and the effects of citizen-centered approaches on retrofit adoption and building performance has not been comprehensively examined. The adoption and success of retrofit programs depends …

Life Cycle Assessment Of Renewable Hydrocarbon Fuels Produced By The New Cool Gas To Liquid (Cool Gtl) Process, Elochukwu Okoye

Dissertations, Master's Theses and Master's Reports

The Cool Gas-to-Liquid (Cool GTL) process converts biogas and captured CO₂ into renewable hydrocarbon fuels, contributing to GHG emissions reduction in transportation. This report explains a Life Cycle Assessment (LCA) study that was completed to evaluate the environmental impact of different feedstocks, hydrogen sources, and electricity inputs. The analysis considers biogas from food waste, manure, and landfill sources, as well as biogenic, fossil, and direct air capture (DAC) CO₂ feedstocks. Results show that biogas pathways provide the greatest GHG reductions, with the best case (food and manure biogas + solar hydrogen + solar electricity) achieving a net-negative GWP …

Dam It All: A Multi-Scalar Investigation Into The Ecological Role And Function Of Beaver Dams, Kenneth Larsen

Dissertations, Master's Theses and Master's Reports

The central theme of this dissertation is ecological scaling, which examines how small, localized features, such as beaver ponds, contribute to large-scale watershed processes and how different modeling approaches at various scales reveal distinct insights. Through a combination of probabilistic modeling and high-resolution empirical research, this work demonstrates that small ponded systems, particularly those created by beavers (Castor canadensis), serve as critical biogeochemical control points, whose contributions to sediment and nutrient dynamics have been historically underestimated.

In Chapter 1, I contextualize this research within the broader fields of freshwater ecology, watershed modeling, and ecological restoration. I introduce the …

Engagement In Practice: Partnering With Communities To Address Nuisance Flooding Challenges, Carol L. Considine, Mujde Erten-Unal, Dalya Ismael, Luka Alandra Hamal-Serenity, Farzaneh Soflaei

Engineering Technology Faculty Publications

Many communities are already experiencing the impacts of climate change that disrupt their daily lives. In Coastal Virginia, these impacts take the form of nuisance and stormwater flooding caused by sea level rise and changes in precipitation. Coastal Virginia has one of the highest relative sea level rise rates on the Atlantic Coast and the regional planning district commission recommends that Atlas 14 rainfall intensity, duration, and frequency curves be increased by 20% to account for changes in rainfall. The Coastal Community Design Collaborative (CCDC), a partnership between Hampton University Architecture and Old Dominion University Engineering & Technology, has had …

Development Of Supervised Machine Learning-Based Life-Cycle Cost Estimation And Prediction Models For Comparative Sewer System Rehabilitation Using Open-Cut And Trenchless Cured-In-Place Pipe Methods, Gayatri R. Thakre

Civil Engineering Dissertations - Archive

Aging wastewater infrastructure in the United States demands renewal strategies that balance cost-effectiveness, sustainability, and minimal social disruption. Conventional open-cut pipeline installation (OCPI) involves extensive excavation and restoration, whereas trenchless alternatives such as Cured-in-Place Pipe (CIPP) Renewal Technology offer reduced surface disturbance and environmental impacts. However, existing studies primarily focus on Construction Costs (CC), neglecting integrated life-cycle evaluations that also account for Environmental Costs (EC) and Social Costs (SC).

The primary objectives of this research are to develop supervised machine-learning (ML) models to estimate and predict CC in 2025 US dollars (USD) per linear foot of OCPI and CIPP Renewal …

A Design And Analysis Of Computer Experiments Approach To Water Distribution Network Seismic Rehabilitation Optimization, Uthman Abiola Kareem

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Water is an essential part of human life. However, there are critical infrastructures that enable water availability in communities and homes. One of such is a water distribution network. Water distribution network performance depends on its reliability, which could be threatened by external agents like earthquakes. When earthquakes occur, they cause damages on some pipes within the distribution network and this limits performance of water distribution network. While earthquakes cannot be prevented, effective maintenance intervention may reduce the impact of earthquakes on water distribution networks. In order to develop an effective maintenance plan, researchers approach it in different ways. However, …

Investigation Of Aluminum Hollow Shapes Subject To Torsion, Nora Frederick

Honors Theses

This research investigates the torsional strength of hollow aluminum shapes, specifically fairly stocky square and circular cross-sections made from 6061-T6 alloy. A total of six cross-sections were tested, with six specimens for each cross-section, resulting in 36 tests. Torque and angular deformation data were recorded for each specimen to determine the torque corresponding to full- yield of the cross-section. Additionally, Strand7 finite element models were created to simulate the experimental results and assess whether the torsional behavior could be accurately replicated through numerical analysis. This allows for future research to be conducted using Strand7 or similar finite element software.

The …

Mangroves: A Lesson On Modeling Changing Shorelines, Willa Skye

ENGS 15.11: Design and Education

This lesson is an overview of storm barriers, specifically mangroves and how they maintain shorelines. It is meant to offer a visual experience of coastline protection and provide a background for deeper understanding about intertidal zones and their conservation. Students will spend time creating a solution to a flooding problem by making a mock coast and storm barrier. To wrap-up the lesson, students will pair up, then reflect on their model and then individually write or draw their takeaways.

Drone-Based Medication Delivery For Rural, Flood-Prone Coastal Cities, Yin-Hsuen Chen, Amro M. El-Adle, Kevin J. O'Brien, Taylor Wentworth, Heather G. Richter

Center for Geospatial Science, Education & Analytics Faculty Publications

Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia’s Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These …

Using Data Science And Sustainability Assessment Tools To Evaluate Wastewater Treatment Technologies, Haidar Shakuir Aldaach

Graduate Theses, Dissertations, and Problem Reports (ETD)

Wastewater management in small communities has faced numerous challenges in recent years, including population growth, limited budgets for operation and maintenance, and stringent effluent standards required by environmental regulations. These challenges motivate enhancing wastewater treatment processes to protect water quality. Wastewater treatment performance can be improved in small towns and rural regions by implementing data-driven strategies. Data science, life cycle assessment (LCA), and life cycle cost analysis (LCCA) are three data-driven decision-making tools that require data collection, modeling, computational models, and statistical analysis that could be utilized to improve wastewater treatment efficiencies. In this study, these three tools were adopted …

Establishing Performance Criteria For Evaluating Watershed-Scale Sediment And Nutrient Models At Fine Temporal Scales, Aayush Pandit, Sarah Hogan, David Tyler Mahoney, William I. Ford, James F. Fox, Christopher Wellen, Admin Husic

Civil Engineering Faculty Publications

Watershed water quality models are mathematical tools used to simulate processes related to water, sediment, and nutrients. These models provide a framework that can be used to inform decision-making and the allocation of resources for watershed management. Therefore, it is critical to answer the question “when is a model good enough?” Established performance evaluation criteria, or thresholds for what is considered a ‘good’ model, provide common benchmarks against which model performance can be compared. Since the publication of prior meta-analyses on this topic, developments in the last decade necessitate further investigation, such as the advancement in high performance computing, the …

Evaluation Of Practical Methods To Determine If A Karst Creek Is Gaining Or Losing: Case Study Of Leith Creek, Elizabeth Jones

Graduate Theses/Dissertations

Karst landscapes are abundant in Missouri, with features such as caves, springs, and sinkholes that form through the dissolution of limestone. Leith Creek is a small stream in Polk County, Missouri fed by two springs and the shallow unconfined Springfield Plateau aquifer, a highly karstified aquifer which is made up of limestone and minor interbedded shale-mudstone units. To determine if Leith Creek is gaining or losing, stream flow, water chemistry and temperature sensors were monitored. Stream flow results required multiple visits to take measurements while temperature sensors required two visits, one to install the dataloggers and another to remove the …

Integrated Valuation Of The Ecological, Social And Economic Benefits Provided By A Multifunctional Nature-Based Solution, Laura Costadone, Shan Zhang

ODU Articles

Nature-based Solutions (NbS) offer multifunctional approaches to address climate change and environmental challenges, providing a sustainable alternative to traditional gray infrastructure. Despite their promise, widespread adoption remains limited, in part due to an incomplete understanding of their full costs and benefits relative to conventional infrastructure. Traditional benefit–cost analyses often overlook non-monetized benefits and the interconnected ecosystem services provided by NbS. This study introduces a methodological approach to quantify both the physical and monetary value of ecosystem services and co-benefits delivered by an NbS project. We applied an integrated valuation framework to a case study in Virginia Beach, VA, USA, where …