VTechWorks Repository :: Browsing by Author "Juran, Luke"

Browsing by Author "Juran, Luke"

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Access to Water: Advancement of Multidimensional, Multiscalar, and Participatory Methods of Measurement in the Global South
Prince, Breeanna Carroll (Virginia Tech, 2018-06-29)
This project deploys a modified Water Poverty Index (WPI) in villages reconstructed after the 2004 tsunami in southeastern India. While previous measurements of access to water have advanced understandings of waterscape complexities, this modified WPI improves past efforts and deconstructs some of the previous misunderstandings and notions regarding access to water. The traditional WPI is multidimensional and seeks to measure water access in a holistic fashion; the WPI presented here employs this approach, but is adapted to include new place-based indicators (e.g., Secondary Sources). Furthermore, unlike previous iterations of the WPI, our modified index incorporates water quality testing, three weight schemes, and operates at several scales. Ultimately, the construction and arrangement of our modified WPI enables statistical analyses, geospatial analyses, and water poverty mapping -- which are absent in most prior studies-- while still remaining easy to populate and descriptively analyze among non-academicians. Statistical tests of original household level data from a total of 24 villages in Nagapattinam District, Tamil Nadu, and Karaikal District, Puducherry, indicate significant differences between the two districts in indicator scores as well as total WPI score. Additionally, the urban and rural areas within each district were found to be significantly different in level of water poverty, and trends were similar across the three weight schemes. Multiple linear regressions show correlation of independent socioeconomic variables (i.e., Income, Education, and Assets-Networks) with the dependent indicator of Capacity, but not with the other indicators or total WPI score. Global Moran's I tests indicate positive spatial autocorrelation, demonstrating that indicator and WPI scores tend to cluster in space. Overall, the results match what was anticipated, yet serve to challenge commonly held assumptions on urban-rural hierarchies and the role of socioeconomic variables in determining water poverty. The construction, deployment, and analytical potential of this modified WPI can be used by scholars to improve existing conceptualizations and measurements of access to water, while the results can be used by local governments and nonprofits to improve resource allocation and inform spatially-targeted interventions.
An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index
Aksha, Sanam K.; Juran, Luke; Resler, Lynn M.; Zhang, Yang (2018-11-16)
Social vulnerability influences the ability to prepare for, respond to, and recover from disasters. The identification of vulnerable populations and factors that contribute to their vulnerability are crucial for effective disaster risk reduction. Nepal exhibits multihazard risk and has experienced socioeconomic and political upheaval in recent decades, further increasing susceptibility to hazards. However, we still know little regarding social vulnerability in Nepal. Here, we investigate social vulnerability in Nepal by adapting Social Vulnerability Index (SoVI) methods to the Nepali context. Variables such as caste, and populations who cannot speak/understand Nepali were added to reflect the essence of the Nepali context. Using principal component analysis, 39 variables were reduced to seven factors that explained 63.02% of variance in the data. Factor scores were summarized to calculate final SoVI scores. The highest levels of social vulnerability are concentrated in the central and western Mountain, western Hill, and central and eastern Tarai regions of Nepal, while the least vulnerable areas are in the central and eastern Hill regions. These findings, supplemented with smaller-scale analyses, have the potential to assist village officers, policymakers, and emergency managers in the development of more effective and geographically targeted disaster management programs.
Assessing Strontium and Vulnerability to Strontium in Private Drinking Water Systems in Virginia
Scott, Veronica; Juran, Luke; Ling, Erin; Benham, Brian L.; Spiller, Asa (MDPI, 2020-04-08)
A total of 1.7 million Virginians rely on private drinking water (PDW) systems and 1.3 million of those people do not know their water quality. Because most Virginians who use PDW do not know the quality of that water and since strontium poses a public health risk, this study investigates sources of strontium in PDW in Virginia and identifies the areas and populations most vulnerable. Physical factors such as rock type, rock age, and fertilizer use have been linked to elevated strontium concentrations in drinking water. Social factors such as poverty, poor diet, and adolescence also increase social vulnerability to health impacts of strontium. Using water quality data from the Virginia Household Water Quality Program (VAHWQP) and statistical and spatial analyses, physical vulnerability was found to be highest in the Ridge and Valley province of Virginia where agricultural land use and geologic formations with high strontium concentrations (e.g., limestone, dolomite, sandstone, shale) are the dominant aquifer rocks. In terms of social vulnerability, households with high levels of strontium are more likely than the average VAHWQP participant to live in a food desert. This study provides information to help 1.7 million residents of Virginia, as well as populations in neighboring states, understand their risk of exposure to strontium in PDW.
Assessing the impacts of a water, sanitation, and hygiene (WASH) intervention on changing behavior in Bihar, India
Wilcox, Emily Rose (Virginia Tech, 2023-06-07)
Access to safe water, sanitation, and hygiene (WASH) is a fundamental human right and a critical component of public and environmental health. Inadequate access to WASH facilities and practices can give rise to preventable diarrheal and waterborne diseases, which can have severe consequences on individuals' health and well-being. This is especially true in low- and middle-income countries such as India. To address these issues, the S.M. Sehgal Foundation identified water quality and hygiene needs in Bihar, India, and thus launched a behavior change intervention called "WASH for Healthy Homes." The intervention aimed to promote the use of silver-ceramic pot filters and safe handwashing practices in five communities of the Vaishali District. While behavior change is a common approach to address WASH issues, evaluating the outcomes of such interventions is crucial for determining the most effective strategies and conditions under which they can be successful. Therefore, this study assessed the effectiveness of the WASH for Healthy Homes intervention and identified factors that influenced its success. A mixed methods approach was utilized that combined statistical analyses of pre- and post-intervention survey data with a thematic analysis of interview and focus group discussion data. Results demonstrated that the intervention was successful in increasing the adoption of the silver-ceramic pot filter and overall safe handwashing practices within the study communities. Success of the WASH for Health Homes intervention was facilitated by participants' health concerns, trust in the field coordinator and social peers, the aesthetic appeal of the treated water, and repeated intervention messaging. However, adoption of intervention behaviors was hindered by several factors, including economic barriers, gender roles in decision-making, the effects of children and elderly in the household, and low attendance during intervention sessions. The research findings provide valuable insights that can help nonprofits better design and execute behavior change interventions, especially in the face of increasing WASH challenges.
Assessing vulnerability and multi-hazard risk in the Nepal Himalaya
Aksha, Sanam Kumar (Virginia Tech, 2018-11-15)
Communities around the world are encountering unprecedented rates of change due to population growth, land use change, development, and increased social vulnerability to natural hazards. Understanding how physical processes and human vulnerability to natural hazards interact is a primary objective of researchers, policy makers, and disaster risk reduction practitioners in order to combat increases in natural hazard frequency and intensity. Nepal, a landlocked mountainous country spanning the central Himalayan region, has about 28 million inhabitants in 147,181 square kilometers. Nepal is exposed to a multitude of natural hazards, requiring individuals and communities to interact with and make decisions on risk acceptability on a day-to-day basis. In many cases, Nepal's geographic location, available resources (human, economic, and capital), and limited government capacity coalesce to turn natural hazards into disasters, resulting damaged infrastructure, economic disruptions, and death. This dissertation evaluates the geographic distribution of natural hazard mortality, quantifies social vulnerability to natural hazards, and models multi-hazard risk in the data deficient environment of Nepal. Chapter 1 conceptualizes relevant terms such as natural hazards, disaster, vulnerability, and risk before discussing the challenges associated with multi-hazard risk assessment in Nepal. Chapter 2 evaluates the spatial and temporal distribution of natural hazard mortalities at the village level using a publicly available disaster database. Results reveal that landslides were the deadliest disasters between 1971-2011. Chapter 3 identifies major social factors and processes that contribute to the vulnerability of individuals and communities using census data. Adapting the Social Vulnerability Index (SoVI) method developed for the US context, this chapter investigates the spatial distribution and clustering of various social vulnerabilities across the country. 'Renter and Occupation', 'Poverty and Poor Infrastructure', and 'Favorable Social Conditions' are three major components that influence social vulnerability in Nepal. Results indicate an interesting regional difference: the eastern and central Tarai are more vulnerable than western Tarai, whereas the eastern Hills and Mountains are less vulnerable than western Hills and Mountains. In Chapter 4, a model of risk from multiple natural hazards in the city of Dharan, Nepal, is presented. Freely available geospatial data in combination with socio-economic data collected from local government and secondary sources are used. Multi-hazard risk assessment is data intensive and requires considerable financial and human resources, which are lacking in Nepal. Results show that geospatial modeling techniques can be used to fill the gap and assist local officers and emergency managers in risk management. Cumulatively, this work offers new insights on natural hazards, vulnerability, risk, the use of geospatial technologies, and their inter-relationships. Research findings advance scholarly understandings of multi-hazard risk in general and particularly in the Nepali context. Additionally, this work is valuable to disaster practitioners who seek to implement more effective disaster risk reduction programs and policies.
A city of projects: Grand Paris, the 2024 Summer Olympics, and the jurisdictional negotiation of contemporary Paris
Geffroy, Damien Stephane (Virginia Tech, 2019-06-11)
Paris' successful bid for the 2024 Summer Olympics arises in the midst of a grand rethinking of the politics of regional and local development in the Île-de-France region. The emerging ambition to advance a metropolitan model is fundamentally hindered by a historically persistent and burdensome institutional puzzle. Contravening the consensual political dogma that such intricate structure demands to be simplified, initiatives of metropolization prompted the establishment of a new administrative layer, the Métropole du Grand Paris (MGP). By advocating dynamics of cooperation, the MGP is the institutional manifestation of a State-led ambition to reinvent a detrimental power mosaic in the region. But limited resources, expertise, and jurisdictional authority prevent it from asserting relevance within the metropolitan conversation. Yet, the Olympic project provides the MGP with a compelling opportunity to manifest crucial competence and to significantly mature its authoritative influence. In this thesis, we explore the blending of the Grand Paris regional development project and the Olympic ambition by investigating the role of the 2024 Summer Olympics in the establishment of an ambitious yet fragile metropolitan model. We use key informant interviews and secondary sources such as news articles, bid books, and official documents to interrogate the way France is tackling, in the 21st century, the challenges of metropolization. Our evidence suggests that Paris as a city of projects fundamentally corresponds to a ground for experimentation that puts institutions and infrastructure at the forefront of discussions. It appears clear that the Games correspond to a grand excuse to legitimize investments in ongoing projects (specifically the Grand Paris Express) and to consolidate State-led spatial reforms with little risk of dissension. The 2024 Summer Olympics are the State's cautious means to inquire the feasibility of a grand ambition without committing to an overhaul of the jurisdictional structure of metropolization.
Coastal Erosion Hazard in Bangladesh: Space-time pattern analysis and empirical forecasting, impacts on land use/cover, and human risk perception
Islam, Md Sariful (Virginia Tech, 2023-06-27)
Coastal areas are vulnerable to different natural hazards, including hurricanes, cyclones, tsunami, floods, coastal erosion, and saltwater intrusion. These hazards cause extensive social, ecological, economic, and human losses. Continued climate change and sea-level rise is expected to substantially impact the people living in coastal areas. Sea level rise poses serious threats for the people living in the coastal zone, which leads to coastal erosion, inundations in the low-lying areas, tidal water encroachment and subsequent salt-water intrusion, as well as the displacement of the people living along the coast. Coastal erosion is one of the biggest environmental threats in the coastal areas globally. In Bangladesh, coastal erosion is a regularly occurring and major destructive process, impacting both human and ecological systems at sea level. The Lower Meghna estuary, located in southern Bangladesh, is among the most vulnerable landscapes in the world to the impacts of coastal erosion. Erosion causes population displacement, loss of productive land area, loss of infrastructure and communication systems, and, most importantly, household livelihoods. For a lower middle-class country, such as Bangladesh, with limited internal resources, it is hard to cope with catastrophic natural hazards, such as coastal erosion and its related consequences. This research aims to advance the scientific understanding of past and future coastal erosion risk and associated changes in land change and land cover using geospatial analysis techniques. It also aims to understand the patterns and drivers of human perception of coastal erosion risk. To place the research questions and objectives in content, Chapter 1 includes a brief introduction and literature review of the coastal erosion context in Bangladesh. Chapter 2 assesses different methods of prediction to investigate the performance of future shoreline position predictions by quantifying how prediction performance varies depending on the time depths of input historical shoreline data and the time horizons of predicted shorelines. Chapter 3 evaluates historical land loss and how well predicted shorelines predict amounts of succeeding LULC resources lost to erosion. Chapter 4 focuses on the patterns and drivers of erosion risk perception using data from spatially explicit measures of coastal erosion risk derived from satellite imagery and a random sample survey of residents living in the coastal communities. In summary, this research advances our scientific understanding of past and future coastal erosion risk and associated changes in land change and land cover using geospatial analysis techniques. It also enhances the understanding of the patterns and drivers of human perception of coastal erosion risk by combining satellite imagery and social survey data. Compared to much of the coastal erosion literature, this work draws from a 35-year time series of satellite-derived shorelines at annual temporal resolution. This time depth enables us to employ a temporal design strategy expected to yield a robust characterization of space-time erosion patterns. This study also enabled us to assess how well predicted shorelines predict amounts of succeeding LULC resources lost to erosion by using long-term historical data. The innovative we use has potential applications to other deltas and vulnerable shorelines globally. While empirical results are specific to the project's study area, results can inform the region's shoreline forecasting ability and associated mitigation and adaptation strategies.
A geospatial analysis of multi-hazard risk in Dharan, Nepal
Aksha, Sanam K.; Resler, Lynn M.; Juran, Luke; Carstensen, Laurence W. (2020-01-01)
Natural hazard risk assessment generally focuses on a single hazard type, such as earthquakes, landslides, or floods. This emphasis tends to consider physical processes in isolation. However, most locations are simultaneously at risk to multiple, interacting hazards that generate cascading effects or synergies. Although scholars have proposed a multi-hazard risk framework based on probabilities, the quality and quantity of data required for such an approach are often unavailable in developing countries. Using geospatial and socioeconomic data, this study represents a first step in assessing multi-hazard risk in the city of Dharan, Nepal. Three hazards-landslides, floods, and earthquakes-were considered for an integrated hazard assessment using statistical methods and the Analytic Hierarchy Process (AHP). We employed a Social Vulnerability Index (SoVI) to create a vulnerability map of the study area, which was then combined with a multi-hazard hazard map to produce a total risk map. Our results indicate that eastern Dharan along the Seuti River and southwestern Dharan on the left bank of the Sardu River are at high risk to multiple hazards. Central Dharan and the hills in the western portion of the city are categorized as low risk areas. Data limitations, such as availability and spatial resolution, did not allow for dynamic modeling; however, our results identified the spatial extent of low to high risk areas, which can inform future disaster planning. For example, the methodology and results of this study could assist in the development of disaster risk reduction programs and policies.
Human-wildlife conflict and mobile phone use among Maasai pastoralists near Tarangire National Park, northern Tanzania
Lewis, Ashley Lauren (Virginia Tech, 2015-06-30)
Mobile phones are transforming many aspects of rural areas in the developing world. Much of the early research on phones and related information and communication technologies (ICTs) in developing countries has focused on social networking and economic benefits in primarily urban or agricultural settings. Few studies, however, have examined the implications of mobile technologies on pastoralist livelihoods and biodiversity conservation. To build on this opportunity, this study examines the impact of mobile phone technology on four Maasai communities near Tarangire National Park in northern Tanzania. I asked the questions: (1) How do phones affect human-wildlife interactions?; and (2) What are the effects of mobile phone use on measures of human-wildlife conflict (HWC)? This research uses a mixed methods approach to address these two questions and test the hypothesis that mobile phone use reduces HWC. Qualitative group interviews revealed that households use phones to manage wildlife interactions in every aspect of their lives - especially when the interactions relate to pastoralism and crop-based agriculture. Maasai use mobile phones as tools of information distribution to mitigate and reduce the severity of effects of HWC. Multivariate analyses of survey measures of phone use and exposure to conflict (i.e., crop and livestock predation and human attacks) offer mixed evidence that mobile phone use is correlated with a perception of less recent HWC events. These findings provide an indication that the expansion of mobile digital technologies may be able to support livelihoods and biodiversity simultaneously.
Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S.
Sehgal, Vinit; Sridhar, Venkataramana; Juran, Luke; Ogejo, Jactone Arogo (MDPI, 2018-08-29)
This study provides high-resolution modeling of daily water budget components at Hydrologic Unit Code (HUC)-12 resolution for 50 watersheds of the South Atlantic Gulf (SAG) region in the southeastern U.S. (SEUS) by implementing the Soil and Water Assessment Tool (SWAT) model in the form of a near real-time, semi-automated framework. A near real-time hydrologic simulation framework is implemented with a lead time of nine months (March–December 2017) by integrating the calibrated SWAT model with National Centers for Environmental Prediction coupled forecast system model version 2 (CFSv2) weather data to forecast daily water balance components. The modeling exercise is conducted as a precursor for various future hydrologic studies (retrospective or forecasting) for the region by providing a calibrated hydrological dataset at high spatial (HUC-12) and temporal (1-day) resolution. The models are calibrated (January 2003–December 2010) and validated (January 2011–December 2013) for each watershed using the observed streamflow data from 50 United States Geological Survey (USGS) gauging stations. The water balance analysis for the region shows that the implemented models satisfactorily represent the hydrology of the region across different sub-regions (Appalachian highlands, plains, and coastal wetlands) and seasons. While CFSv2-driven SWAT models are able to provide reasonable performance in near real-time and can be used for decision making in the region, caution is advised for using model outputs as the streamflow forecasts display significant deviation from observed streamflow for all watersheds for lead times greater than a month.
Modelling hydrologic system change in a paraglacial catchment in the Northern Rocky Mountains
Kern, Jennifer M. (Virginia Tech, 2021-06-10)
The Northern Rocky Mountains, home to the highest concentration of glaciers in the American West, are undergoing increased rates of climate warming, resulting in previously unseen ecological and hydrological outcomes. Globally, many glacier basins have experienced glacial recession to the threshold point of surpassing peak basin runoff, resulting in substantial decreases in local hydrological yield. Such findings call for models that do not alone examine glacial runoff but a complete examination of changes in the water budget. Alpine catchments are increasingly vulnerable to evapotranspirative losses due to climatic warming, and the rates of vegetation succession are often unable to keep up with the rate of warming. Basin scale analyses of glacial recession on streamflow are then confounded by ecohydrologic dynamics created by primary succession and the associated increase in evapotranspiration. In this study, I present a conceptual framework for modelling basin runoff in landscapes responding to paraglacial adjustment. The study goal was achieved by calibrating and running the Hydrologiska Byråns Vattenbalansavdelning (HBV) model in Swiftcurrent basin and investigating change across the basin water balance through baseflow analysis. The research findings indicate catchment scale changes in the timing and magnitude of the flow regime in the deglaciating Swiftcurrent basin, by employing HBV and empirical baseflow analysis. While most components of the water balance appear consistent across the study period, late summer baseflow values suggest the basin hydrology is undergoing changes, possibly a result of melt occurring earlier in the season. Ultimately, I advocate for an adaptable and accessible approach to understanding paraglacial basins by constructing an estimation of basin-scale water budgets.
Monitoring vegetation dynamics in Zhongwei, an arid city of Northwest China
Wang, Haitao (Virginia Tech, 2014-06-10)
This case study used Zhongwei City in northwest China to quantify the urbanization and revegetation processes (1990-2011) through a unified sub-pixel measure of vegetation cover. Research strategies included: (1) Conduct sub-pixel vegetation mapping (1990, 1996, 2004, and 2011) with Random Forest (RF) algorithm by integrating high (OrbView-3) and medium spatial resolution (Landsat TM) data; (2) Examine simple Dark Object Subtraction (DOS) atmospheric correction method to support temporal generalization of sub-pixel mapping algorithm; (3) And characterize patterns of vegetation cover dynamics based on change detection analysis. We found the RF algorithm, combined with simple DOS, showed good generalization capability for sub-pixel vegetation mapping. Predicted sub-pixel vegetation proportions were consistent for "pseudo-invariant" pixels. Vegetation change analysis suggested persistent urban development within the city boundary, accompanied by a continuous expansion of revegetated area at the city fringe. Urban development occurred at both the suburban and urban core areas, and was mainly shaped by transportation networks. A transition in revegetation practices was documented: the large-scale governmental revegetation programs were replaced by the commercial afforestation conducted by industries. This study showed a slight increase in vegetation cover over the time period, balanced by losses to urban expansion, and a likely severe degradation of vegetation cover due to conversion of arable land to desert vegetation. The loss of arable land and the growth of artificial desert vegetation have yielded a dynamic equilibrium in terms of overall vegetation cover during 1990 to 2011, but in the long run vegetation quality is certainly reduced.
Near Real-time Seasonal Drought Forecasting and Retrospective Drought Analysis using Simulated Multi- layer Soil Moisture from Hydrological Models at Sub- Watershed Scales
Sehgal, Vinit (Virginia Tech, 2017-07-28)
This study proposes a stratified approach of drought severity assessment using multi-layer simulated soil moisture. SWAT (Soil and Water Assessment Tool) models are calibrated for 50 watersheds in the South-Atlantic Gulf region of the Southeastern US and a high-resolution daily soil moisture dataset is obtained at Hydrologic Unit Code (HUC-12) resolution for a period of January 1982 through December 2013. A near real-time hydrologic simulation framework by coupling the calibrated SWAT models with the National Centers for Environmental Prediction (NCEP) coupled forecast system model version 2 (CFSv2) weather data is developed to forecast various water balance components including soil moisture (SM), actual evapotranspiration (ET), potential evapotranspiration ET (PET), and runoff (SURQ) for near-real time drought severity assessment, and drought forecasting for a lead of 9-months. A combination of the surface and total rooting depth soil moisture percentiles proves to be an effective increment over conventional drought assessment approaches in capturing both, transient and long-term drought impacts. The proposed real-time drought monitoring approach shows high accuracy in capturing drought onset and propagation and shows a high degree of similarity with the U.S. Drought Monitor (USDM), the long-term (PDSI, PHDI, SPI-9 and SPI-12), and the short-term (Palmer Z index, SPI-1 and SPI-6) drought indices.
Panel Three: Access: Markets & the Gendering of Environmental Systems
Jimenez, Elizabeth; Juran, Luke (Virginia Tech, 2019-03-01)
Access: Markets, & the Gendering of Environmental Systems - an interactive panel Moderator: Dr. Ralph Hall, Associate Professor, Urban Affairs and Planning (UAP) program and Director of the Undergraduate Program, School of Public and International Affairs (SPIA), Virginia Tech Rural livelihoods strategies & globalized markets: An analysis of women’s participation among Quinoa producers in the Southern Bolivian Highlands - Dr. Elizabeth Jimenez, Development Economist, Professor, CIDES UMSA, The Graduate School, Interdisciplinary Social Sciences, Universidad Mayor de San Andres, Bolivia Human-environment genderscapes in South Asia: Suffering for water, suffering from disasters - Dr. Luke Juran, Assistant Professor, Department of Geography, Assistant Professor, Virginia Water Resources Research Center, College of Natural Resources and Environment, Virginia Tech
Perceptions of measures to control Aedes mosquitoes and mosquito-borne diseases in Costa Rica
Bandzuh, John Thomas IV (Virginia Tech, 2016-07-06)
Aedes mosquitoes are responsible for the transmission of several arboviruses throughout tropical and subtropical regions of the world. In the Americas, Aedes aegypti is the most competent vector of dengue, chikungunya, Zika, and yellow fever. With up to 400 million cases globally each year, dengue fever is the fastest growing vector-borne disease in the world, and it has become an increasingly significant risk to global health. In the Western Hemisphere, dengue, and more recently chikungunya and Zika, exists throughout much of Latin America and the Caribbean. Both diseases are spread via Aedes mosquitoes and both constitute major health risks in Costa Rica. A dengue outbreak in Costa Rica in 2013 was the largest epidemic in the country since the return of the disease in 1993. Moreover, between 2014 and 2015 there was a 54.9% increase in dengue cases in Costa Rica, further demonstrating the relevancy of research on mosquito-borne diseases. Given this context, this study employs qualitative methods to critically investigate measures to combat Aedes mosquito-borne diseases in Costa Rica. Data were collected using household interviews (n = 80); semi-structured key informant interviews with public health officials, researchers, nonprofit organizations, and community leaders (n = 22); and a focus group discussion in each of two study areas. The results provide broad and place-specific information about mosquito control efforts and other actions deployed in Costa Rica to mitigate mosquito-borne diseases. The data reveal differences in perceptions and disease incidence among household interviewees as well as where households source information about mosquitoes and mosquito-borne diseases. Varying degrees of knowledge on mosquitoes and mosquito-borne diseases were uncovered across the study sites, as were differing attitudes among the general population regarding mosquito control techniques (e.g., fumigation, education campaigns, and household visits by public health officials). Additionally, data indicated a gap in knowledge regarding the ability of the public to report mosquito-related problems to health authorities. Households also exhibited discrepancies in knowledge pertaining to chikungunya transmission and details about the vector.
Perceptions of water services and innovations to improve water services in Tanzania
Sherry, Julia Caroline (Virginia Tech, 2017-06-21)
Lack of access to safe drinking water is a crisis of great proportion. An estimated 1.8 billion people rely on unsafe drinking water. This study focuses on the case of Tanzania, in which an estimated 29 million people, or 44% of the population, lack access to safe drinking water. Furthermore, the Tanzanian Ministry of Water estimates that approximately 38% of all water access points in the country are nonfunctional. As the Government of Tanzania and other actors work to improve water access, they employ innovations to facilitate water service delivery that is both high quality and sustainable over time. These innovations must be field-tested prior to large-scale implementation to ensure they are appropriate and effective in varying contexts. User perceptions of innovations are valuable for gauging the potential benefits and barriers to incorporating new innovations in the water sector. This study investigates the use of solar power and mobile prepayment to improve water services in Tanzania. There are currently no data on user perceptions of these innovations in Tanzania. Thus, this study fills this data gap through the analysis of focus group discussions (n=6) and key informant interviews (n=14) collected during summer 2016 in three urban and three rural communities in Tanzania. Urban sites are located in the city of Dar es Salaam, and rural sites are scattered throughout Tanzania. Using qualitative methods, this study identifies themes related to user perceptions of water services, solar power, and mobile prepayment. While perceptions varied between urban and rural study settings and within study sites, most people perceived major challenges with the current water system. These perceived challenges included the poor reputation of the water service provider, health problems related to water, and the general lack of consistent high-quality water provision. Research participants perceive that mobile prepayment is a modern solution to water service challenges, but perceive that cost, particularly for the poor, may be a barrier. Generally, people in the rural setting perceive that solar power will reduce costs and increase water service reliability, while those in Dar es Salaam were less familiar with the technology. While perceptions indicate that solar and mobile phone innovations have great potential in both urban and rural settings, they also indicate that there exist significant challenges to implementing the innovations. User perceptions ultimately manifest in real behaviors related to water services, and thus must be incorporated before these innovations are scaled-up across Tanzania.
Predicting Spatial Variability of Soil Organic Carbon in Delmarva Bays
Blumenthal, Kinsey Megan (Virginia Tech, 2016-12-13)
Agricultural productivity, ecosystem health, and wetland restoration rely on soil organic carbon (SOC) as vital for microbial activity and plant health. This study assessed: (1) accuracy of topographic-based non-linear models for predicting SOC; and (2) the effect of analytic strategies and soil condition on performance of spectral-based models for predicting SOC. SOC data came from 28 agriculturally converted Delmarva Bays sampled down to 1 meter. R2 was used as an indicator of model performance. For topographic-based modeling, correlation coefficients and condition indices reduced 50 terrain-related values to three datasets of 16, 11, and 7 variables. Five types of non-linear models were examined: Generalized Linear Mondel (GLM) ridge, GLM LASSO, Generalized Additive Model (GAM) non-penalized, GAM cubic splice, and partial least-squares regression. Carbon stocks varied widely, 50 to 219 Mg/ha, with the average around 93 Mg/ha. Topography shared a weak relationship to SOC with most attributes showing a correlation coefficient less than 0.3. GLM ridge and both GAMs achieved moderate accuracy at least once, usually using the 16 or 11 variable datasets. GAMs consistently performed the best. Prior to carbon analysis, hyperspectral signatures were recorded for the topmost soil horizons under different conditions: moist unground, dry unground, and dry ground. Twenty-four math treatment and smoothing technique combinations were run on each hyperspectral dataset. R2 varied greatly within datasets depending on analytic strategy, but all datasets returned an R2 greater than 0.9 at least twice. Moist unground soil models outperformed the others when comparing the best models among datasets.
Rescinding a Bid: Stockholm's uncertain relationship with the Olympic Games
Olson, Erik Johan (Virginia Tech, 2018-04-23)
The City of Stockholm has undergone a curious process of considering whether to launch a bid for the 2026 Winter Olympic Games. That Stockholm has contemplated launching a bid is not surprising from a regional perspective—the Olympic Games have not been held in a Scandinavian country since Lillehammer, Norway played host in 1994 and Sweden has never hosted the Winter Olympics. A potential bid from Stockholm would also be consistent with Sweden's self-identification and embracement of being a 'sportive nation'. Failed applications by the Swedish cities of Gothenburg, Falun, and Östersund to host the Winter Olympic Games confirm the long-standing interest of the Swedish Olympic Committee to secure the Games, although it should be noted that the Swedish Olympic Committee did not submit a bid for the 2006, 2010, 2014 or 2018 Winter Olympic Games competitions. Although recent reports indicate that Stockholm will not vie for the 2026 Winter Olympic Games, the notion that the city was even considering the option remains surprising. Stockholm had withdrawn its bid from the 2022 bidding competition citing a variety of concerns including a lack of government and public support, financial uncertainty, as well as the post-event viability of purpose-built infrastructure. Stockholm's withdrawal from the 2022 competition resonates with the growing apprehension by potential bid cities (especially those emerging from democratic countries) towards the Olympic Games. This thesis seeks to illustrate that Stockholm's Olympic hopes have book-ended a transformative period in the Olympic bidding process and to expose the struggle that bid cities have in adjusting to the demands of the IOC's bidding process.
Stresses and Instability in Coastal Systems: Sustaining Prosperity, Increasing Diversity and Achieving Resilience
Weiss, Robert; Bukvic, Anamaria; Dayer, Ashley A.; Fraser, James D.; Karpanty, Sarah M.; Catlin, Daniel H.; Juran, Luke; Wynne, Randolph H.; Gohlke, Julia M.; Boyle, Kevin J.; Irish, Jennifer L.; Leon, Roberto T.; Zobel, Christopher W.; Rees, Loren P.; Zhang, Yang; Schenk, Todd; Dixit, Priya (Virginia Tech, 2017-05-15)
More than half of the world’s human population lives within 40 miles of the sea. Coastal cities are the backbone of global finance, trade, manufacturing, and transportation. Millions of people worldwide travel to beaches for recreation. Coastal fisheries and aquaculture are key sources of food, and the chief source of protein in most developing countries. The coast is home to a diverse range of plants and animals, some commercially valuable, some threatened or endangered, and all part of unique ecosystems. Coastal livelihoods, tourism, fish and wildlife species, and ecosystem services are threatened by climate change and its associated impact on coastal hazards. Flooding and coastal disasters from New York to Kolkata have killed thousands of people and cost trillions of dollars. By 2100 more than 100 million people could be displaced by sea-level change, 13 million in the U.S. alone. The stability of the global economy is threatened by sea-level change...
Strontium in Drinking Water: Assessing Strontium as a Drinking Water Contaminant in Virginia Private Wells
Scott, Veronica J. (Virginia Tech, 2019-06-24)
Approximately 80% of Virginians with private drinking water (PDW) sources are unaware of the quality of their drinking water. Strontium is a water quality contaminant gaining recognition at the federal level. At concentrations >1.5 mg/L, strontium substitutes calcium in the bones leading to bone density disorders (e.g. rickets). This is particularly problematic for children and individuals with low calcium and low protein diets. Because most Virginians do not know the quality of their PDW and since strontium poses a public health risk, this study investigates the sources of strontium in PDW in Virginia and identifies the areas and populations most vulnerable. Physical factors such as rock type, rock age, and fertilizer use have been linked to elevated strontium concentrations in drinking water. Meanwhile, social factors such as poverty, poor diet, and adolescence also increase social vulnerability to health impacts of strontium. Thus, this study identifies both physically and socially vulnerable regions in Virginia using water quality data from the Virginia Household Water Quality Program and statistical and spatial analyses conducted in RStudio 1.0.153 and ArcMap 10.5.1. Physical vulnerabilities were highest in the Ridge and Valley province where geologic formations with high strontium concentrations (e.g., limestone, dolomite, sandstone, and shale) are the dominant the aquifer rocks. The complex relationship between agricultural land use and strontium concentrations made it difficult to determine the impact of fertilizer use on strontium concentrations in PDW in Virginia. In general, the spatial distribution of social vulnerability factors was distinct from physical factors with the exception of food deserts. This study provides information and analysis to help residents of Virginia understand their risk of strontium exposure in PDW.

Browsing by Author "Juran, Luke"

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