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Building a Digital Twin of the University of North Texas Using LiDAR and GIS Data
Digital twins are virtual renditions of the actual world that include real-world assets, connections, activities, and processes. Recent developments in technologies play a key role in advancing the digital twin concept in urban planning, designing, and monitoring. Moreover, the latest developments in remote sensing technology have resulted in accurate city-scale light detection and ranging (LiDAR) data, which can be used to represent urban objects (buildings, vegetation, roads, and utilities), enabling the creation of digital twin of urban landscapes. This study aims to build a digital twin of the University of North Texas (UNT) using LiDAR and GIS data. In this research, LiDAR point clouds are used to create 3D building and vegetation modeling along with other GIS data (bicycle racks and parking areas) in creating a digital twin model. 3D Basemap solutions of ArcGIS Pro and ArcGIS Online Scene Viewer, respectively, are used to create an initial 3D urban model and build the ultimate digital twin of UNT. The emergency management floorplans of UNT buildings are incorporated into the digital twin to increase emergency management efficiency. Moreover, solar power potential for individual buildings at UNT has been estimated using the Digital Surface Model (DSM) and integrated into the digital twin model to identify the buildings with the highest solar energy capacity. This study indicates that implementing a digital twin in a university enhances campus efficiency, safety, and sustainability, serving as a central system for a smart campus and contributing to intelligent urban growth.
Climate Injustice and Commodification of Lives and Livelihoods in Southwest Coastal Bangladesh
Just and equitable responses to the disparate impacts of climate change on communities and individuals throughout the world are at the heart of the concept of climate justice. Commodification, in the context of my research, is the process of monetizing nature and livelihoods for the purpose of surplus accumulation and profit maximization. In this study, my aim was to contextualize the concepts of climate injustice, disaster capitalism, and the commodification of lives and livelihoods in the specific setting of disaster vulnerability in southwest coastal Bangladesh. By conducting a case study in Kamarkhola and Sutarkhali regions of southwest coastal Bangladesh, I utilized discourse analysis and content analysis of livelihood interviews, semi-structured interviews, and policy documents to demonstrate the conceptual interrelation among global climate change, climate injustice, disaster capitalism, and capitalist expansion in environmentally precarious areas. I argue that in Southwest Coastal Bangladesh, the vulnerability to disasters stems from a complex and multifaceted layer of social hierarchies and inequalities, entwined with factors such as class and power relations. I also argue that Inequalities in the political, economic, and social realms have a key role in imposing vulnerability on disadvantaged people living in ecologically vulnerable areas. The perpetuation of inequality is sustained by the expansion and accumulation of capital through the dispossession and exploitation of natural resources. The existing approaches to climate change adaptation in the southwest coastal region of Bangladesh are deeply entrenched in neoliberal capitalism. The introduction of neoliberal economic policies, such as the privatization of state lands and the promotion of export-oriented aquaculture, created favorable conditions for capitalist expansion in environmentally vulnerable places through "accumulation by dispossession."
Global Techno-Capitalism and the Production of Hate: Understanding Political-Economic and Ideological Utility on YouTube and Gab
The production of Hate, albeit a historical, long-existing, and relentless process, has been reinvigorated by the simultaneously globalizing and localizing power of cyberspace. Techno-capitalism, often perceived as the actuating force of neoliberal globalization, has emanated novel formations of social interaction, community formation, the dissemination of ideology, and political mobilization. Far-right ideology is being globalized throughout popular social cyberspaces like YouTube by thought leaders or ideological entrepreneurs, while users then localize within alternative social cyberspaces like Gab, wherein their beliefs are reaffirmed, identities are consolidated, and communities are formed. This process is integral to the materialization of far-right extremism, manifested as political action in real, physical space, and thus, illuminates new expressions of real virtuality, various politics of scale, and contemporary consequences of neoliberal globalization.
How Receiving Communities Structure Refugee Settlement Experiences: The Case of Burmese Immigrants in DFW
The Dallas-Forth Worth Metroplex (DFW) serves as a diverse resettlement location for globally displaced refugees. While research examines how the nation impacts refugee resettlement, studies that examine the role of the city and community in placemaking are still lacking. In city resettlement investigations, research often focuses broadly on advocacy and political movements rather than the impacts of local-level structures and policies. In this paper, I develop an evaluation model using Jenny Phillimore's categories for successful refugee resettlement that examines how structural barriers, community interactions, and resource accessibility affect space and place for refugee populations. Through an ethnography of Chin and Rohingya refugee communities in DFW, I explore the differences between community-settled and state-settled refugee groups and the idea of an integrated resettlement program. Additionally, I argue that refugees who choose their settlement location in the United States are empowered and thus have a stronger connection to their host community than state-settled refugees. For example, in interviews, the Chin emphasized their ownership of Lewisville and feelings of home, while the Rohingya expressed feelings of placelessness and dispossession in Dallas. As governments push towards an entirely privatized system of refugee resettlement, this research argues for an integrated method that draws upon federal resources and community connections. Through the experiences of Lewisville's Chin community, this research demonstrates the potential of such a program in the United States.
Quantification of the Seasonality and Vertical Dispersion Environment of PM2.5 Variation: A Comparative Analysis of Micro-Scale Wind-Based Buffer Methods
Increasing PM2.5 (particulate matter smaller than 2.5 micrometers) poses a significant health risk to people. Understanding variables critical to PM2.5 spatial and temporal variation is a first step towards protecting vulnerable populations from exposure. Previous studies investigate variables responsible for PM2.5 variation but have a limited temporal span. Moreover, although land-use classes are often taken into account, the vertical environment's influence (e.g., buildings, trees) on PM2.5 concentrations is often ignored and on-road circle buffers are used. To understand variables most critical to PM2.5 concentration variation, an air pollution sensor and GPS unit were affixed to a bicycle to sample for variables over three seasons (spring, summer, fall). Samples were taken on a route during the weekdays at four targeted hours (7AM, 11AM, 3PM, and 7PM) and joined with meteorological data. 3D morphology was assessed using LiDAR data and novel wind-based buffers. Wind speed only, wind direction only, and wind speed and direction buffers were computed and compared for their performance at capturing micro-scale urban morphological variables. Zonal statistics were used to compute morphological indicators under different wind assumptions in seasonal ordinary least squares regression models. A comprehensive wind and buffer performance analysis compares statistical significance for spatial and temporal variation of PM2.5. This study identifies the best wind parameters to use for wind-based buffer generation of urban morphology, which is expected to have implications for buffer design in future studies. Additionally, significant exposure hotspots for UNT students to PM2.5 pollution are identified.
Renewable Electricity in DFW: Access, Distribution, and Consumer Awareness
Texas is the leading producer of renewable energy in the U.S, and Dallas-Fort Worth (DFW) is the largest metropolitan area in the state. Texas has a deregulated energy market, with three types of providers: privatized, public-owned, and co-operatives. Privatized providers compete in the deregulated market, and consumers choose between hundreds of electricity retailers. Public-owned providers are owned by the municipality, and electricity consumers that live within the city limits must use the municipal provider. Electric co-operatives operate similarly where customers within the region must use the co-operative, but instead of being owned by the city, co-ops are owned by the members (customers). To date, the availability, cost, accessibility, and outreach of renewable electricity among these provider types remains unclear. For this reason, my research examines the renewable energy market in DFW by asking: (1) Who has access to renewable energy and how do they understand it? (2) How do electricity retailers distribute and make renewable energy available? and (3) If consumers can choose their provider, why do they select certain electricity plans over others? My findings suggest that while many consumers want or are open to using renewable energy, uncertainties surrounding how to find or choose a provider, price, and lack of information about renewables are obstacles for consumers to access renewable energy. Additionally, while renewable energy is widely distributed in the region, there are disparities in renewable energy options.
Big Game, Big Decisions, and Big Government: Understanding the Effects of Commodification on Deer and Feral Hog Hunting in Texas
My research examines how primary stakeholders interact with Texas' most harvested big game animals: white-tailed deer, which are increasingly impacted by chronic wasting disease (CWD), and feral hogs, which impact the landscape but effectively have no management strategy. Drawing on literature on wildlife governance in Texas, managing property and the commons, and disease landscapes, and broadly framed by themes of political and historical ecology, my research asks: (1) how do management goals for deer and feral hogs compare to hunting practices and hunting culture in Texas? (2) How are deer commodified by the Texas deer breeding industry? (3) How does the commodification of deer by breeders impact deer hunting practices in Texas? To examine how local stakeholders manage CWD and feral hogs, I conducted interviews among 21 stakeholders, including hunters, game wardens, game ranch managers, and deer breeders in Texas, as well as conducting participant observation at three deer conferences. Analysis shows that contrary to my expectations, not all participants viewed feral hogs negatively, with some viewing them as profit-making ventures. Inversely, how stakeholders contend with and understand CWD varies by a stakeholder's ability to generate profit from deer breeding. Furthermore, the majority of participants identified deer breeding operations as the greatest risk for spreading CWD; deer-breeders themselves, not surprisingly, perceived CWD as either low risk or a big government conspiracy. This research demonstrates a need for further regulation or outlawing deer breeding altogether.
The Death and Life of Great American Malls: (Un)Spectacular Creative Destructions, Luxury Mixed-Use Developments, and Gentrification in Dallas-Fort Worth
Mall after mall was built in American cities, exhaustively emulated by developers often working in concert with civic governments. In service of capital, neoliberal urban governance engages in the risky subsidization of spatio-spectacle production, working together with private business entities to bolster tax revenue and aid in private capital accumulation. The extensive replication of malls in close geographic proximity to one another across the American landscape, erected through the neoliberal partnerships of civic governments and private business interests, has greatly contributed to mall decline and mall death. There is now, however, a new spatio-spectacle that has arisen to take the place of the "great American shopping mall"—the luxury mixed-use development. These luxury mixed-use projects have been adopted as a new trend within urban development following the reality of sweeping mall decline and are proliferating across the (sub)urban landscape. Luxury mixed-use developments, I argue, are merely a continuation of late capitalism's problematic spectacle fetish. Moreover, this process is revealed to be inextricably entangled with gentrification, driven by cities' neoliberal desires to become/maintain status as global, "world-class" cities, performed through the spatialized ideology of neoliberal multiculturalism.
Behind the Curtain of Public Space: Revealing the Narratives of Corporate Street Hawking in Globalizing Accra
All street hawkers are not the same in many Newly Industrialized Countries (NICs) of the global south as often portrayed by the media and documented in extant literature. This perception has created a gap in knowledge as researchers explore street hawking activities in NICs. In this study, I investigated a new informality trend of street hawking is coming into being within the capital city of Accra, Ghana. As governance is increasingly becoming entrepreneurial, informal activities are gradually becoming formal. Formal and registered businesses are increasingly capitalizing on hawking activities to occupy public spaces. The advent of the informality trend, I term corporate street hawking opens up new issues for the political economy, labor, and urban studies. By employing semi-structured interviews with 47 street hawkers in Accra, this paper sought to investigate three broadly interrelated questions. First, how do neoliberal policies impact the production of public space in Accra? Second, is corporate street hawking a form of creative destruction? Finally, how do corporate street hawkers practice agency within Accra?
GIS-Based Analysis of Local Climate Zones in Denton, Texas
This study implemented a GIS-based analysis of local climate zones (LCZ) in Denton, TX with data sets from 2009, 2011, 2015, and 2016. The LCZ scheme enables evaluation of distinct regions' thermal characteristics with greater granularity than conventional urban-rural dichotomies. Further, the GIS-based approach to LCZ mapping allows use of high-resolution lidar data, the availability of which for the study area enabled estimation of geometric and surface cover parameters: height of roughness elements, sky-view factor, and building surface fraction. Pervious surface fraction was estimated from National Landcover Database impervious imagery. A regular grid was used to estimate per-cell mean values for each parameter, and with a decision-making algorithm (if/then statements) two maps were produced (2011 and 2015) and six LCZ identified in each: LCZ 6 (open low-rise), LCZ 8 (large low-rise), LCZ 9 (sparsely built), LCZ A (dense trees), LCZ B (scattered trees), and LCZ C (bush/scrub). Post-processing was carried out to ensure identified zones met the spatial minimum for qualification as LCZ. Landsat Collection 2 Level 2 surface temperature products from various seasons of 2011 and 2015 were acquired to examine LCZ thermal differentiability, and preliminary surface urban heat island intensity values were estimated. Particular attention was afforded to issues regarding data quality and classifier threshold adjustment.
Hurricane Harvey and the Devastation of Dispossession
Disaster science is a procedural field often construed as producing blanket policies that attempt to cover everyone, but the complexity of human lived experiences must have a space to exist within disaster science if its research and findings are to be effective. This thesis illustrates that disaster policies and publications often leave out the most vulnerable communities—those in greatest need of collective support. Through critically analyzing beautification through green space, discussing photovoice interviews, and by deconstructing public preparedness documents published by Harris County Office of Homeland Security and Emergency Management (HCOHSEM), it is clear that accumulation by dispossession filters down through not only property and money but also access to green spaces and a healthy life. By dispossessing low-income communities of their right to green spaces and life, those communities end up in places that are environmentally dangerous, leaving them at a disadvantage in the disaster preparedness and recovery process. This thesis serves as a case study highlighting how HCOHSEM failed to provide low-income communities with assistance prior to, during, and after Hurricane Harvey. The lessons from these gaps in protective measures show that public policies need to be malleable to ensure residents of any community are covered. Though no two communities are alike, other cities and federal emergency entities can learn about what public policy measures require progressive changes to better serve the most vulnerable communities.
Spatial-Temporal Assessment of Irrigation Application Changes and Soil Moisture Analysis Using SMAP Maps
Due to inadequate long-term and large-scale observation approach for observation of soil moisture across the globe, this study intends to unveil the importance of using simulated soil moisture fields from land surface models, forced with observed precipitation and near-surface meteorology in monitoring drought and formulating effective water management practices for continued production irrigation applications. This study shows that socio-economic and ecosystem effects can be determined by evaluating spatial-temporal changes in irrigation applications. Thus, it facilitates understanding of the importance of water management and how water, energy, and carbon flows protect our climate and environment. By using Soil Moisture Active Passive (SMAP) in monitoring soil moisture, the information obtained is critical in providing early drought warnings, particularly in those parts of the United States that experience flash agricultural droughts. Further, this study highlights that frequent and reliable soil moisture measurements from SMAP helped improve the predictive capability of weather and climate models.
A Multi-Proxy Approach to Identifying Marine Overwash Sedimentation and Terrestrial Flood Sedimentation in a Coastal Lake in Southeastern Texas
This research project focuses on using a multiproxy approach to discriminate between overwash and non-hurricane marsh sediments within the bed of a coastal lake. 3 marsh cores were collected in an area of McFaddin National Wildlife Refuge just south of Clam Lake that are known to contain 4 hurricane overwash deposits, Ike, Rita, Carla, and Audrey. LOI and XRF analysis were used to determine the signature of the hurricane overwash layers. 3 more cores were collected from Clam Lake where there are no visible sand layers. The elemental signature of the overwash layers found in the marsh cores was used to run a hierarchical cluster analysis on the lake cores. This was able to determine the effectiveness of XRF's ability to distinguish between hurricane overwash and marsh sediments. The combination of cluster analysis, LOI, and XRF can tentatively identify hurricane overwash deposits in a coastal lake, however, it is more successful in the marsh cores. Results in the lake cores are somewhat inconsistent and uncertain, possibly because there may have not been enough overwash deposits to identity or that the XRF analysis needs more distinct sand layers to distinguish between overwash and marsh.
Particulate Matter Accumulation to Urban Rock Pigeon (Columba livia) Feathers
This research investigates particulate matter (PM) deposition to rock pigeons (Columba livia) in urban environments within Denton County, Texas. Pigeon habitat was characterized within a 2-km radius at eight locations using the 2016 National Land Cover Database (NLCD). In summer 2020, feathers were sampled from 10 rock pigeons at two locations (n = 20) differing in degree of urban development. Birds were captured using walk-in funnel traps baited with bird seed. Based on molt pattern and appearance, four old flight feathers were identified and sampled from each bird. New primary feathers were obtained from each population as reference samples. Feathers were washed three times with double deionized water and acetone, and the solution vacuum filtered through a glass microfiber filter to collect all particles >1.5 µm in diameter. Particulate matter mass was determined by gravimetric analysis and calculated per unit feather surface area. Relative PM accumulation rates were significantly different between the populations. Characteristics of urban land cover, proximity to and types of emissions sources, wind exposure, and building density were drivers of variability in PM deposition to feather surfaces. The results from this study should be useful for subsequent research to help identify best practices for using feathers collected from pigeons or other urban restricted bird species to monitor PM levels across multiple spatial scales.
Wildfire Influence on Rainfall Chemistry and Deposition in Texas during the 2011-2014 Drought
From 2011 to 2014, one of the most severe and intense droughts in Texas recorded history led to widespread wildfires across the state, with unknown effects on atmospheric nutrient and pollutant deposition. The objectives of this research were to: (1) characterize the frequency, magnitude, and spatiotemporal distribution of Texas wildfires (2011-2014); (2) identify smoke occurrence and source regions at eight Texas National Atmospheric Deposition Program (NADP) National Trends Network (NTN) sites (2011); and (3) quantify the influence of wildfire on weekly rainwater chemistry and deposition in 2011 at three NADP sites (Sonora, LBJ Grasslands, Attwater Prairie NWR). Data on large wildfires, smoke occurrence, and rainfall chemistry and deposition were coupled with principal component and back-trajectory analysis to address these objectives. Between 2011-2014, 72% of all wildfires occurred in 2011, accounting for 90% of the total area burned. In total, there were 17 extreme wildfires (i.e., in the 95th percentile of hectares burned), of which 11 occurred in 2011. Wildfire activity was concentrated in West Texas ecoregions and consumed primarily shrub/scrub and grassland/herbaceous land cover. Although West Texas experienced the most wildfires, smoke at the NADP locations in 2011, the "high-fire year," was more frequent in East Texas due to regional wind patterns transporting smoke from diverse source locations. In 2011, weeks with smoke-influenced rain events––defined as weeks in which the rainfall event air mass trajectory intersected a smoke polygon, at any time, for at least one hour in the 72-hours prior to rainfall at the NADP site––had higher concentrations of Ca2+, Mg2+, K+, NH4+, and SO42- compared to background samples (not affected by smoke). At LBJ Grasslands, four smoke-influenced rain samples deposited >49% of annual wet deposition for all ions. Principal component analysis identified wildfire as a key component contributing to the variance in the dataset. Taken together, these findings …
App Stole My Gayborhood? A Transforming Ethos at the Intersection of Queer Urban Life and Cyberspace(s)
This thesis demonstrates a queer perspective stemming from a qualitative analysis of data gathered in interviews with LGBTQ+ people to analyze a transforming ethos of gayborhoods and queer desires. In particular, the research focuses on the interactive relationship between self-identified lesbian, gay, bisexual, transgender, and queer (LGBTQ+) participants; the cyberspace(s) of LGBTQ+ mobile-dating applications (apps); and tangible urban places. The topic of gayborhood demise and whether such places are worth saving has been debated by scholars and journalists for the last decade. The demise of gayborhoods is often thought to be a symptom of neoliberal urban processes such as gentrification within the context of the post-gay era and broader societal acceptance of homosexuality. This means the question of "if the gayborhood is worth saving" is inherently imbedded in an assumption that homosexuality is not viewed or treated as different or lesser than heterosexuality. In this imagined post-gay era, gayborhoods are declining because the dangers posed to the LGBTQ+ population are purported to no longer exist, so there is no longer a need for designated queer and/or safe places. This research destabilizes the assumptions embedded within the conception of the post-gay era by asking whether the gayborhood meets the needs and desires of contemporary queers. Alternatively, are LGBTQ+ mobile-dating apps part of gayborhood decline, and if so how? Therefore, the question of "if the gayborhood is worth saving" is not about assumed queer acceptance in greater society; rather, the question should be grounded in if the gayborhood fulfills the needs and desires of contemporary queers.
Using Machine Learning to Develop a Calibration Model for Low-Cost Air Quality Sensors Deployed during a Dust Event
Low-cost sensors have the potential to create dense air monitoring networks that help enhance our understanding of pollution exposure and variability at the individual and neighborhood-level; however, sensors can be easily influenced by environmental conditions, resulting in performance inconsistencies across monitoring settings. During summer 2020, 20 low-cost particulate sensors were deployed with a reference PM2.5 monitor in Denton, Texas in preparation for calibration. However, from mid to late-summer, dust transported by the Saharan Air Layer moved through the North Texas region periodically, influencing the typical monitoring pattern exhibited between low-cost sensors and reference instruments. Traditional modeling strategies were adapted to develop a new approach to calibrating low-cost particulate sensors. In this study, data collected by sensors was split according to a novel dust filter into dust and non-dust subsets prior to modeling. This approach was compared with building a single model from the data, as is typically done in other studies. Random forest and multiple linear regression algorithms were used to train models for both strategies. The best performing split-model strategy, the multiple linear regression models split according to dust and non-dust subsets (combined R2 = 0.65), outperformed the best performing single-model strategy, a random forest model (R2 = 0.49). The results from this study indicate that low-cost sensor performance can be greatly influenced by the presence of dust, and that adaptive strategies, like the ones presented in this paper, are necessary when calibrating sensors in environments that may experience pollution from inconsistent sources throughout the year.
The Political Economy of Retailing Sustainable Food: Green Consumerism and Sustainability
In recent decades, the global impacts of unsustainable consumption and production patterns have become a leading topic of sustainability, and more recently, climate action discourse. At the policy level, green consumerism – an element of green capitalism – has been positioned as the pathway to more sustainable consumption and production (SCP) practices. Within this model, eco-labeling schemes are used to communicate various sustainability attributes, or conditions of production, to the consumer. This study set out to investigate whether SCP is achievable through green consumerism using a two-part case study that centers around the egg industry and specific hen welfare standards. The case study examines the effectiveness of egg eco-labeling schemes and related statements and images placed on egg packaging in informing consumers' purchasing decisions. It also examines the impacts of green consumerism on organic egg production in the presence of strong consumer demand for enhanced hen welfare standards. The results of the case study demonstrate that in the egg industry, green consumerism is not highly effective because consumers' purchasing decisions are often informed by vague and misleading information about conditions of production. Moreover, the presence of strong consumer demand has not resulted in enhanced hen welfare standards in organic production. In interpreting these findings through the lens of David Harvey's theory of the spatial fix, I argue that the true role of green consumerism is to facilitate a spatial fix to resolve the chronic crisis of overaccumulation in the conventional egg industry. Furthermore, that the limitations and contradictions within green consumerism (e.g. vague or insignificant eco-label claims) aid in removing the barrier of capital fixity so that the spatial fix can occur.
Analysis of Micro Enterprise Clusters in Developing Countries: A Case Study of Toluca, Mexico.
Businesses cluster to achieve agglomeration benefits. However, research in developing countries suggests that the economic environment limits small business’ propensity to benefit from agglomerations. The study examines the location, networking patterns, formal structures and owner characteristics of 1256 micro businesses from ten industries and thirteen sample areas in Toluca, Mexico. First, the thesis analyses whether clustering has a positive impact on the success rates of the surveyed enterprises, e.g. higher sales per employee. On an industry scale only Retail benefits from agglomerations economies. However, results of the neighborhood data show that specific areas benefit from urbanization economies. Overall, the study finds that businesses located within agglomerations, have higher levels of formalization, networking and professional training, hence constituting a more sophisticated base for economic development. Conclusions can be drawn for development policies and programs, arguing for a more differentiated approach of small business development depending on business location and cluster characteristics.
More buildings about songs and food: A case study of Omaha's Slowdown project.
The success of independent rock music ("indie rock"), once a marginalized sub-genre of the rock idiom and now a globally recognized cultural force, has impacted the urban landscape of Omaha, Nebraska via the mixed-use urban redevelopment project, "Slowdown" - a result of cultural production by the city's successful indie rock business entities. While geographic research has previously analyzed urban redevelopment initiated by fine artists, the event of indie rock music being a catalyst for urban redevelopment has never been considered in a geographic scope. By examining the topics of affordable technological tools, Omaha's reduced cost-of-living, and cooperative efforts by city leaders, insight into how an indie rock "scene" can become a successful urban redevelopment catalyst is gained.
A Comparative Analysis of Diseases Associated with Mining and Non-Mining Communities: A Case Study of Obusai and Asankrangwa, Ghana
Disease prevalence varies with geographic location. This research pursues a medical geographic perspective and examines the spatial variations in disease patterns between Obuasi, a gold mining town and Asankrangwa, a non gold mining town in Ghana, West Africa. Political ecology/economy and the human ecology frameworks are used to explain the prevalence of diseases. Mining alters the environment and allows disease causing pathogens and vectors to survive more freely than in other similar environments. Certain diseases such as upper respiratory tract infections, ear infections, sexually transmitted diseases such as HIV/AIDS and syphilis, certain skin diseases and rheumatism and joint pains may have a higher prevalence in Obuasi when compared to Asankrangwa due to the mining in Obuasi.
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