Resource Management Model Research Articles

A Systematic Review of the Current State of Numerical Groundwater Modeling in American Countries: Challenges and Future Research

In arid and semi-arid regions, groundwater is often the only available water source. However, overexploitation and pollution have led to a decrease in groundwater quantity and quality. Therefore, the proper management of groundwater resources is essential to promote sustainable development. Numerical simulation models (NSMs) have emerged as a valuable tool to address these challenges due to their ability to accurately and efficiently model groundwater systems. This study provides a comprehensive systematic review to evaluate the current knowledge on using numerical groundwater flow models for planning and water resource management in countries in the American region. A total of 166 research articles were published between the years 2000 and 2024. We analyzed and summarized details such as the study regions, numerical simulation methods and applied software, performance metrics, modeling units, modeling limitations, and prediction scenarios. In addition, we discuss alternatives to address the constraints and difficulties and suggest recommendations for future research. The continued research, improvement, and development of numerical groundwater models are essential to ensure the sustainability of groundwater resources.

Strengthening Community Resilience in the Face of Environmental and Economic Challenges in Southeast Mexico

Objective: The problems in the sustainable management of natural resources in their fishing practices in the community of Aztlán Quinta Seccion Palomillal in Tabasco, Mexico, are analyzed to develop community solutions and improve sustainability and socioeconomic results. Theoretical Framework: It is based on the theory of sustainability (World Commission on Environment and Development, 1987, p. 43), the natural resources management model (Natural Resources Commission, 2012, p. 3) and the theory of participatory research (Reason & Bradbury, 2008, p. These frameworks are the context in which fishing practices are developed in the community, serving as a relevant case study for southeastern Mexico, facilitating the analysis of the problems and proposed solutions. Method: A qualitative case study design focused on community-based participatory research was applied, involving key community actors, including fishermen and leaders of the fishing cooperative. Data collection was through semi-structured interviews, focus groups and participant observation. The interviews were designed to learn about challenges in resource management, while focus groups facilitated discussions about possible solutions. Participant observations were carried out during community meetings and the sociocultural and environmental context. Results and Discussion: The problems of sediment accumulation, the presence of invasive species, the lack of adequate infrastructure and low educational levels were identified. There is an urgency to implement strategies that combine traditional knowledge with modern practices to improve the sustainability of fishing activities. The importance of community participation is highlighted. Research Implications: It has significant practical and theoretical implications for sustainable resource management in rural fishing communities and can be applied in other similar rural contexts and contributes to the theoretical development of community-based participatory research. Originality/Value: An innovative community-based participatory research approach is applied for sustainable natural resource management in a rural fishing community, replicable for sustainable resource management in vulnerable contexts.

VonEdgeSim: A Framework for Simulating IoT Application in Volunteer Edge Computing

Recently, various emerging technologies have been introduced to host IoT applications. Edge computing, utilizing volunteer devices, could be a feasible solution due to the significant and underutilized resources at the edge. However, cloud providers are still reluctant to offer it as an edge infrastructure service because of the unpredictable nature of volunteer resources. Volunteer edge computing introduces challenges such as reliability, trust, and availability. Testing this infrastructure is prohibitively expensive and not feasible in real-world scenarios. This emerging technology will not be fully realized until dedicated research and development efforts have substantiated its potential for running reliable services. Therefore, this paper proposes VonEdgeSim, a simulation of volunteer edge computing. To the best of our knowledge, it is the first and only simulation capable of mimicking volunteer behavior at the edge. Researchers and developers can utilize this simulation to test and develop resource management models. We conduct experiments with various IoT applications, including Augmented Reality, Infotainment, and Health Monitoring. Our results show that incorporating volunteer devices at the edge can significantly enhance system performance by reducing total task delay, and improving task execution time. This emphasizes the potential of volunteers to provide reliable services in an edge computing environment. The simulation code is publicly available for further development and testing.

Use of an Ecological Compensation Model in Water Resource Development: A Case Study from Shaanxi Province, China

This study aims to analyze the current situation of water resource management in Shaanxi Province, study the basic principles of ecological compensation, evaluate the impact of water conservation projects on the ecological environment by establishing a model, and propose a sustainable water resource management model. Hanzhong City has certain typicality and representativeness within Shaanxi Province, and the problems it faces in water resource management and ecological environment may represent the entire province or similar regions. At the same time, Hanzhong City has rich data and research foundations. Therefore, by conducting a detailed analysis of the current water resource status in the Hanzhong City area of Shaanxi Province, the problems in current water resource management are revealed, and the basic principles of ecological compensation are intensely studied. The original ecological compensation plan in Shaanxi Province has been summarized. Guided by the concept of sustainable development, an ecological compensation model is established using algorithms, and the model is applied to sustainable water resource management. Establish a model for water conservation and water resource management through data collection, preprocessing, and cleaning, and apply it to practical cases in Hanzhong City. Through simulation and analysis of Hanzhong City, the new water resource management model effectively mitigates the adverse effects of water conservation projects on the ecological environment while improving water resource utilization efficiency. The changes in various environmental parameters indicate that the new plan has improved the ecological environment. Through the application of the model, the ecological compensation plan formulated has achieved sustainable protection of the ecological environment while promoting economic development. This study proposes a sustainable water resource management model through a comprehensive study of water resource management and ecological compensation in Shaanxi Province and verifies it in practical cases, demonstrating that the model has not only good applicability but also has significant effects in promoting economic growth and ecological environment protection.

Impact of military activities and hostilities on the ecosystem services of the North-Western Black Sea coastal zone

Satisfaction of human needs for living environment and food, as well as level and quality of life, depend on ecosystem services. The article studies the main methodological principles of ecosystem services assessment for the coastal zone of the North-Westen Black Sea region. Reduction of opportunities for using the ecosystem services negatively reflects the growing anthropogenic impact on environmental components due to urbanization processes, development of industry, energy sector, transport, agricultural sector of the economy, etc. and, since February 2022, - due to military activities and hostilities. The research presents the main indicators used to assess the ecosystem services. Prior to the outbreak of hostilities, the environment of Odesa Oblast was subject to the highest anthropogenic pressure across the whole NWBS region. The forecast indicators of anthropogenic pressure on the components of the NWBS's environment for the next 10 years showed that, within Odesa Oblast, there was a trend towards increasing level of anthropogenic pressure for almost all components. As for Mykolaiv Oblast, an increasing load was predicted for air basin and water bodies, and as for Kherson Oblast – for air basin and soil and geological environment. The article considers the groups of ecosystem services and the factors reducing the possibility of their use as a result of ongoing military operations. Affected by military activities and hostilities, the possibilities of using the resource component of the ecosystem services are brought to minimum. Military activities and hostilities practically stopped the recreational and health function within the coastal zone of the NWBS region. The primary task is to determine the needs of local communities in terms of use of ecosystem services, to collect and summarize information on their condition, agree on methods for assessment of services for the NWBS region, and conduct such assessment. It is necessary to identify the ways to transition to the models of natural resource management across the coastal zone of the NWBS region, taking into account the decline in delivery of the ecosystem services due to both anthropogenic load and military activities and hostilities affecting environmental components.

A joint optimization of resource allocation management and multi-task offloading in high-mobility vehicular multi-access edge computing networks

Vehicular communications have advanced data exchange and real-time services in intelligent transportation systems by exploiting advanced communication between vehicles and infrastructure. The emergence of Multi-access Edge Computing (MEC) has further elevated this field by utilizing distributed edge resources near vehicles for low-latency data processing and high-reliability communication. In this dynamic environment, adequate resource allocation and task offloading are pivotal to ensure superior performance, lower latency, and efficient network resource utilization, enhancing Quality of Service (QoS) and overall driving experience and safety. This paper presents a developed vehicular network and offloading mechanism, introducing a resource management model with real-time allocation and load balancing. The proposed method integrates task prioritization, multi-agent collaboration, context-aware decision-making, and distributed learning to optimize network performance. The introduced optimized algorithm initializes Q-networks and target networks, sets up an experience replay buffer, and configures agents with local state representations. Agents use an ε-greedy policy for action selection, update Q-values through experience replay, and prioritize tasks based on urgency while sharing state information for collaborative decision-making. Evaluations through simulation demonstrate optimized performance, enhancing efficiency in vehicular MEC networks compared to baseline and the other well-known algorithms.

Community-based natural resource management in Roatan: Strengths and challenges.

This study explored the transformative journey of community-based natural resource management (CBNRM) in the Bay Islands National Marine Park, Honduras, revealing the interplay of cooperation, funding, and communication in fostering successful conservation initiatives. Using a mixed-method approach, we investigated the historical and legislative process and enabling conditions that led to the transition to CBNRM, based on Gruber's 12 key principles. In regards to the present CBNRM system, we looked at its strengths, its challenges, and whether its functioning is seen as satisfying by local resource-users. Findings showed that key CBNRM principles-including an enabling environment, conflict resolution, research-based decision-making, public trust, and monitoring-fostered the transition. Furthermore, satisfaction with reef management and perceived patrol effectiveness, which are pivotal aspects in CBNRM, exceeded 70% in Roatan. Challenges such as strengthening local institutions and enhancing compliance were identified. Nonetheless, co-managers are actively working to resolve these challenges by focusing on enforcement, diverse funding acquisition mechanisms and community participation. The study underscores the pivotal role of local NGOs and collaborative committees in facilitating successful CBNRM. By providing evidence-based insights, we highlight the efficacy of multilevel, co-management models in resource management and emphasize the value of adaptable strategies. These findings contribute to a deeper understanding of CBNRM dynamics in Latin America and the Caribbean, which may ultimately foster successful conservation initiatives in the Global South.

Semi-analytical solutions for land subsidence due to groundwater withdrawal

This paper introduces novel semi-analytical models tailored for estimating land subsidence resulting from groundwater extraction in confined aquifers. These models offer high scalability, allowing them to be applied to various well configurations and pumping schedules. Their development involves the numerical integration of two key analytical solutions: the “nucleus of strain” (NoS) (Mindlin and Chen, 1950), which represents a localised zone within the aquifer where a unit change in pore pressure leads to deformation and subsequent surface displacement, and the classic Theis equation (Theis, 1935) for the pore pressure changes induced by a constant-rate well pumping from a laterally unbounded aquifer. These integrations yield surface displacement components, both horizontal and vertical, expressed as functions of two dimensionless spatial–temporal variables, which encompass aquifer depth, thickness, well placement, pumping schedules, and critical hydro-geomechanical parameters like hydraulic conductivity, porosity, vertical compressibility, and water compressibility. Proposed are two distinct modelling approaches: one employing a lookup table (LT) derived from numerical integration results, and the other providing direct closed-form surface displacement solutions by fitting LT data with “hinge models”, which use piecewise-linear functions linked by sigmoidal curves for computational efficiency. In both cases, surface displacement components are estimated by plugging in the dimensionless variables. Conditions of variable pumping from multiple wells can be addressed by applying superposition of solutions. In essence, these semi-analytical models offer swift computational capabilities for understanding and forecasting land subsidence dynamics. Their scalability makes them adaptable to a wide array of well configurations and scheduling scenarios, rendering them valuable for numerous applications. They are particularly significant for providing preliminary estimates of the impacts of groundwater development, conducting “what-if” tests, and performing sensitivity analyses to identify key factors affecting land subsidence risk. This underscores the importance of these models in sustainable groundwater resource management and in mitigating land subsidence and its associated consequences.

ASSESSING the POTENTIAL of RAINWATER HARVESTING and REUSE for SUSTAINABLE UNIVERSITY CAMPUS

Water resource management, one of the paradigms for creating sustainable universities, ensures that universities both manage the quantity of water used and maintain the quality of water. Water resource management models that begin with campus priority create input for cities at a higher scale. Water resource management encompasses a variety of sustainable practices. One of the most applicable is the reuse of rainwater. Based on these findings, the main objective of the study is to re-evaluate the rainwater harvested with proposed solutions on site and contribute to nature and the water cycle. In the study, the “Rational Method” was used as the method for calculating the amount of rainwater. Hardscape (roads, parking lots), landscaped areas (landscaped and wooded areas) and roofing materials within the campus were determined. The efficiency coefficients of the materials were determined. The area occupied by each material was calculated. The total amount of rainwater was calculated by multiplying by the rainfall data. Studies on rainwater harvesting usually only calculate the amount harvested from roof surfaces. This study calculated the amount of rainwater harvested from hardscape, landscape and rooftop areas. In one year, an average of 243,000 liters of water is needed to use the reservoir and 54,530,000 liters of water for plant irrigation. The total water consumption was calculated at 54,773,000 liters. The annual rainwater volume is 494,000,000 liters and the useful volume is 296,400,000 liters. It can be seen that a volume is achieved that is approximately 5 times the amount of water required.

The Common Heritage of Mankind and the Rights of Future Generations in Outer Space Exploration: The Ethical Frontier

This article explores the ethical frontiers of outer space exploration, focusing on the common heritage of mankind and the rights of future generations. It delves into the historical evolution of international space law, examines key treaties and agreements, and applies Elinor Ostrom's principles of resource management to space governance. The article emphasizes the importance of ethical considerations, such as the rights of future generations, and provides a comparative analysis of different ethical theories relevant to space exploration. By integrating stakeholder perspectives, including those of non-space-faring nations and private companies, the article proposes new governance models for the sustainable and equitable management of outer space resources. The findings suggest that a balanced approach, considering diverse viewpoints and ethical implications, is crucial for the future of space exploration.

Model Pengelolaan Sumber Daya Kelautan dan Kemaritiman

Introduction: Indigenous people who live on small islands are quite large in number compared to the available natural resources. So it can be said that it is not enough to meet the basic needs of indigenous peoples, for a certain period of time. Therefore, the idea was born to create legal regulations that could regulate and organize all the potential of marine and maritime resources so that they could be used wisely.Purposes of the Research: to formulate the formulation of a Marine and Maritime Resources Management Model in Central Maluku Regency.Methods of the Research: This research was conducted using an empirical juridical approach which is a descriptive qualitative analysis study. The research seeks to describe the Marine and Maritime Resource Management Model in Central Maluku Regency. The way the empirical juridical or sociological juridical method works in this research proposal is from the results of collecting and finding data and information through literature study of the basic assumptions or presumptions used in answering the problems in this research, then inductive-verification testing is carried out on the latest facts available. exists in society, thus the truth in a study has been declared reliable without having to go through a rationalization process.Results of the Research: To minimize conflicts and disputes that occur in the marine and maritime customary rights community, there must be a formulation of a model for regulating marine and maritime management in Central Maluku Regency involving all cuttings holders.

Knowledge mapping and evolutionary analysis of energy storage resource management under renewable energy uncertainty: a bibliometric analysis

The research on energy storage resource management is an important measure to cope with the present problem of uncertainty in the use of renewable energy, in order to explore the evolution of the research focus and future trend of energy storage resource management under the uncertainty of renewable energy, this paper adopts the method of bibliometric analysis, and conducts a visual analysis of the relevant 800 documents in the core collection of the Web of Science by using the CiteSpace to draw co-occurrence maps and analyze the collaborative networks of different countries/regions, institutions and authors in this field, and further conducted journal co-citation analysis, literature co-citation analysis and author co-citation analysis. The keyword co-occurrence, emergent analysis, and cluster co-occurrence analysis reveal the current research focus and trend in this field, and summarize and propose four future key focus directions: energy storage technology improvement, energy storage system integration, expansion of business models for energy storage resource management, and intelligent control of energy storage system, which provide new research paths for solving the problem of renewable energy uncertainty in the future.

The employee-related antecedents of work performance: exploring a three-sided model for Human Resources Management

PurposeThis research paper aims to integrate the employee-related factors that empirical literature considers antecedents of performance (skills, work motivation, personal characteristics) into a multiple linear regression model, and to test such a model in order to measure the level of each individual factor on the performance.Design/methodology/approachQuantitative, multisource research approach. After testing the validity of the model with a Confirmatory Factor Analysis, this research applies the multiple linear regression model Work performance = a(Skills) + b(Work Motivation) + c(Personal Characteristics) + e(constant) to two different samples of workers: chemical technicians (N = 63) and salespeople (N = 61).FindingsThis study confirms the factorial structure of the antecedents of work performance, showing that skills, motivation, and personal characteristics are three general employee-related factors underlying work performance. The statistical analysis highlights a variance in performance between 40 and 65% explained by employee-related factors, hence leaving 35–60% as due to factors outside the model (firm/environment-related and/or job-related factors, or other skills and personal characteristics not considered in the model). The study also highlights that employee-related factors sometimes affect performance differently than job designers' expectations, and sometimes even negatively.Research limitations/implicationsThe equation was tested on two case studies, so further explorations are needed. Furthermore, the approach adopted is inductive thus describing performance as it is, not as it should be. Therefore, it explains the best actual performance of workers, not the ideal performance.Practical implicationsThe equation tested here represents a simple and valid tool to guide many Human Resource Management practices, such as; selection, training, development, and career orientation.Social implicationsFindings provide a valid indication for designing and managing human resource management systems more even-handedly, from an organizational and employee point of view. In doing so, it drives organizations towards a better Person/Job fit.Originality/valueThe study represents one of the first attempts to take into consideration multiple factors simultaneously in explaining work performance.

A critical review of biomonitoring in East African rivers: fostering community-based collaboration for environmental change observation

The contribution of citizen scientists to environmental monitoring is notably increasing significantly. Governments worldwide establish Water Users Associations (WUAs) as a good practice model to implement Integrated Water Resource Management (IWRM) at local levels. These associations target different stakeholders depending on the expected outcome. However, their effectiveness, especially in East Africa, can only be determined case by case. In Kenya, Water Resources Users Associations are registered, voluntary community groups whose members are water users and land owners. Similarly, in Uganda, community-based initiatives exist, especially along degraded rivers, involving cooperation between local communities and regional water authorities. On the contrary, it has been reported that in Tanzania, many community initiatives created become non-functional within 2–3 years of induction. In general, the main responsibility of Water Users Associations or its equivalent is to manage and conserve water resources for sustainable uses. In most cases, water quality monitoring by communities through citizen science is limited to the visual appearance of water in the river channel. While this can indicate the water’s esthetic value, it is insufficient for assessing the ecological status of rivers, which is influenced by a variety of physical, chemical, biological, and socioeconomic factors. The use of bioindicators has been advocated as a feasible method for community-based water quality river monitoring. Therefore, this review explores the commonly used bio-indicators and bio-assessment tools for river health assessment and their complexities when using a biomonitoring community-based approach through citizen science. Tolerance and intolerance macroinvertebrate and fish metric protocols that utilize identification keys have been recommended. These protocols are designed to be user-friendly and require minimal taxonomic expertise, making them easy for community volunteers to use with minimal basic training. The sustainability of these citizen science initiatives relies on the motivation of volunteers, the frequency of monitoring activities, and collaboration with researchers and government agencies. These initiatives not only facilitate environmental monitoring but also foster community engagement and awareness regarding the ecological status of rivers, thereby addressing knowledge and data gaps necessary for effective policy-making. This approach provides a practical model for environmental stewardship and participatory resource management in East Africa.

Bee-inspired insights: Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction.

Analysis of the change in groundwater used as a drinking and irrigation water source is of critical importance in terms of monitoring aquifers, planning water resources, energy production, combating climate change, and agricultural production. Therefore, it is necessary to model groundwater level (GWL) fluctuations to monitor and predict groundwater storage. Artificial intelligence-based models in water resource management have become prevalent due to their proven success in hydrological studies. This study proposed a hybrid model that combines the artificial neural network (ANN) and the artificial bee colony optimization (ABC) algorithm, along with the ensemble empirical mode decomposition (EEMD) and the local mean decomposition (LMD) techniques, to model groundwater levels in Erzurum province, Türkiye. GWL estimation results were evaluated with mean square error (MSE), coefficient of determination (R2), and residual sum of squares (RSS) and visually with violin, scatter, and time series plot. The study results indicated that the EEMD-ABC-ANN hybrid model was superior to other models in estimating GWL, with R2 values ranging from 0.91 to 0.99 and MSE values ranging from 0.004 to 0.07. It has also been revealed that promising GWL predictions can be made with previous GWL data.

High-resolution estimates of water availability for the Iberian Peninsula under climate scenarios

Water availability is of paramount importance for sustainable development and environmental planning, specifically in regions such as the Iberian Peninsula, renowned for diverse landscapes and varying climatic conditions. Due to climate change, understanding the potential impacts on water resources becomes essential for effective water management strategies. This research effort aims to assess future potential water availability for the Iberian Peninsula in different climate scenarios, employing cutting-edge water resource modelling techniques integrated within a geographic information system (GIS) framework. In this study, potential water availability is defined as the annual demand for water that can be satisfied at a specific point in the fluvial network with certain reliability. An ensemble of state-of-the-art climate models is utilised to project runoff for the Iberian Peninsula during the mid- and late-twenty-first century periods. These climate projections were subsequently processed using the GIS-based water resource management model, WAAPA, to derive potential water availability under a range of realistic hypotheses. The results indicate that anticipated shifts in precipitation patterns will lead to alterations in hydrological regimes across the region, significantly impacting future water availability. By using GIS-based methodologies, we can facilitate the identification of vulnerable areas susceptible to changes in water availability, offering spatially explicit information along the main rivers of the Iberian Peninsula for decision-makers and stakeholders. High-resolution spatial outputs from this research and detailed water availability estimates serve as valuable input for integrated water resource management and climate change adaptation planning. By combining advanced GIS-based hydrological modelling with climate scenarios, this research presents a robust framework for assessing water resources amidst a changing climate, applicable to other regions struggling with analogous challenges. Ultimately, our study provides vital insights for policymakers and stakeholders, empowering them to make informed decisions and devise adaptive measures to ensure sustainable use of water resources despite uncertain future climatic conditions.

Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach

Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach

Unlocking the tapestry of conservation: Navigating ecological resettlement policies in Nepal

Conservation initiatives involve a complex interplay of various ecological, socio-political, and economic factors. Ecological resettlement (ER), implemented within the context of nature conservation policies, stands as one of the most contested issues worldwide. This study aims to navigate the domain of ER policy in conservation through discursive institutionalism and a policy arrangement approach. Focusing on Nepal's conservation policy pathways over the last seven decades, we critically analyze policy ideas and narratives, trends, patterns of policy development, institutional arrangements, driving factors, and responses to contemporary ER policies. Methods involved a systematic literature review (n = 271), a comprehensive review of policy documents and project reports (n > 150), and expert interviews (n = 20). Over the past 50 years, >7600 households in Nepal have been displaced in the name of ER and are still persisting despite the rhetoric of participatory conservation. With changes in political regimes, conservation policy has shifted from a hunting-focused approach to landscape-level and transboundary conservation. Initially influenced by internal factors such as economic and political governance, conservation policies were later shaped by international conservation discourse. Also, the operational sphere of such policy ideas and narratives ˗ including actors, resources, discourses, and rules ˗ along with trends, priorities, institutional arrangements, and driving factors of ER policies, has changed over time. Further, the exclusion of deprived communities and the capture of conservation benefits by elites have undermined conservation values. This research stresses the importance of a judicious balance between people's welfare and nature's integrity, emphasizing community-based natural resource management models accredited to a conservation standard. We further urge the revision of displacement-oriented conservation policies to secure the rights of Indigenous people and traditional landholders, thereby ensuring conservation and sustainable development at both national and global levels.

RESPONSES TO DIGITAL HUMAN RESOURCE MANAGEMENT MODEL: SUGGESTIONS FROM DISRUPTIVE INNOVATION THEORY

Purpose – Considering the popularity of digital technologies, the study aims to provide additional perspective of why managers have low commitment to digital human resource management (HRM) model and how they should interpret and respond to this model.Body of knowledge – The study indicates that rushing to adopt digital HRM model is not encouraged, even though the model has potential benefits in terms of organizational efficiency and employee experience. However, the ignorance of its usage possibilities can make HR managers and professionals lose their control over HR activities to other business units.Implications – Managers need to understand the driving factors of digital HRM model, do critical analysis of its relation to the current business model, and evaluate potential impacts of its adoption on the organization. Based on these analyses, managers can establish a suitable response plan to the disruption, which can range from ignorance at the first time to full integration in the long run.Originality/Value – The emergence of digital technologies have disrupted the way organization operate their internal business processes. Compared to other functions, human resource management is likely to be overlooked in organization’s digital transformation plan, even though human resource is considered to be an important resource for its competitive advantages in today’s uncertain and fast changing world. The study contributes to drawing additional attention to the importance of digital HRM in organization’s digital transformation plan and provides additional perspective to interpret and implement digital HRM.

Using MODFLOW to Model Riparian Wetland Shallow Groundwater and Nutrient Dynamics in an Appalachian Watershed

Simulating shallow groundwater (SGW) flow dynamics and stream–SGW interactions using numerical modeling tools is necessary to develop a mechanistic understanding of water flow systems and improve confidence in water resource management practices. A three-dimensional (3D) SGW flow model was developed for a riparian wetland in a mixed forest and agricultural catchment in West Virginia (WV), Appalachia, USA, using a Modular 3D Groundwater Model (MODFLOW). The MODFLOW simulation was calibrated in steady (R2 = 0.98, ME = −0.21, and RMSE = 0.77), transient state (R2 = 0.97, ME = −0.41, and RMSE = 1.28) and validated (R2 = 0.97, ME = −0.28, and RMSE = 1.05) using observed SGW levels from thirteen nested piezometers under steady and transient states. An experimental MT3D transport scenario was developed to show the lateral transport of NO₃-N from the aquifer to stream cells. Relatively stable SGW head distribution was observed. In the downstream reach, SGW discharge varied from 948 m3/day to 907 m3/day in 2020, with creek seepage ranging from 802 m3/day to 790 m3/day. Similarly, SGW input to the stream ranged from 891 m3/day to 978 m3/day, while creek seepage ranged from 796 m3/day to 800 m3/day in 2021. In upstream reaches, losing stream conditions were observed in January, June, and September 2020 and January to April 2021, while gaining stream conditions prevailed during other months. Thus, an approximately monthly alternating gaining–losing stream condition was observed in the upstream area. An experimental MT3D transport scenario resulted in an advection–dispersion scenario, showing a cumulative loss of 947 g of NO3-N from SGW to the stream. Denitrification accounted for the cumulative loss of 1406 g of NO3-N from SGW, surpassing 639 g of nitrate from the SGW to the stream during the study period. Additionally, particle tracking using MODPATH indicated a long residence time for SGW nutrients, affirming the efficiency of nitrogen transformation through denitrification. This study is among the first to simulate hydrologic and nutrient interactions in riparian wetlands of a mixed land use catchment in the Appalachian region of the northeastern United States. The results better inform water resource management decisions and modeling efforts in the Appalachian region and similar physiographic regions globally.