Geography Commons^™

Homelessness Assessment Of The Mountain West, 2023, Mohit Pande, Miguel Soriano Ralston, Riley Ruff, Zachary Billot, Annie Vong, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet examines 2023 homelessness assessment data from the U.S. Department of Housing and Urban Development for five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah.

Ground Electric Field, Atmospheric Weather And Electric Grid Variations In Northeast Greece Influenced By The March 2012 Solar Activity And The Moderate To Intense Geomagnetic Storms, Georgios Anagnostopoulos, Anastasios Karkanis, Athanasios Kampatagis, Panagiotis Marhavilas, Sofia-Anna Menesidou, Dimitrios Efthymiadis, Stefanos Keskinis, Dimitar Ouzounov, Nick Hatzigeorgiu, Michael Danakis

Mathematics, Physics, and Computer Science Faculty Articles and Research

In a recent paper, we extended a previous study on the solar solar influence to the generation of the March 2012 heatwave in the northeastern USA. In the present study we check the possible relationship of solar activity with the early March 2012 bad weather in northeast Thrace, Greece. To this end, we examined data from various remote sensing instrumentation monitoring the Sun (SDO satellite), Interplanetary space (ACE satellite), the Earth’s magnetosphere (Earth-based measurements, NOAA-19 satellite), the top of the clouds (Terra and Aqua satellites), and the near ground atmosphere. Our comparative data analysis suggests that: (i) the winter-like weather …

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

Exposure to risks associated with the production and usage of products, particularly oil, poses significant threats to both ecological systems and human health. Notable examples include the Gulf War Oil Spill (1991) and the Deepwater Horizon Oil Spill (2010). However, numerous smaller-scale oil spills, which collectively contribute to substantial oil releases, often remain overlooked. To fill this gap, our study first developed a detailed oil spill incidents database, covering 1967 to 2023. We quantified the released amount (RA) of oil spills recorded by the National Oceanic and Atmospheric Administration (NOAA). Subsequently, we utilized life cycle impact indicators in ReCiPe to …

The Ecology Of American Noir, Katrina Younes

Electronic Thesis and Dissertation Repository

In The Ecology of American Noir, I investigate the relationship between the conventions of noir fiction and film and its sub-types in relation to environmental crises. Specifically, I address questions that not only allow us to (re)read early hardboiled literature and neo-noir films, but that also help us identify a new sub-genre of noir and develop an ecocritical methodology: I call this contemporary sub-genre and methodology “eco-noir.” I trace the development of strategies of mapping urban blight and environmental deterioration in classic hardboiled fiction of the 1940s, neo-noir films of the 1970s, and eco-noir texts of the post millennial …

Southern Nevada Regional Industrial Study, Brookings Mountain West, Center For Business And Economic Research, Transportation Research Center

Policy Briefs and Reports

Recognizing the ongoing need to diversify the Southern Nevada economy, in 2023 GOED commissioned Brookings Mountain West, the UNLV Center for Business and Economic Research, and the UNLV Transportation Research Center to evaluate how Southern Nevada can leverage its geography and connectivity to neighboring states and metros at the megapolitan level to pursue industrial opportunities in the face of shifting global supply chains, diminishing developable land, the need for efficient management of the regional water supply, and the availability of unprecedented federal resources to support clean energy development, manufacturing, electrification of transportation systems, and supply-chain resiliency.

The study builds on …

Design And Test The Effectiveness Of Interpretive Signs Using Eye Tracking And Biometric Data, Hadara Gordon, Wendy Miyazaki

Baker/Koob Endowments Awarded Projects

Recreational trails on forested lands should satisfy the needs of recreationists, safeguard important habitats, and maintain the natural environment (Kortenkamp et al., 2021). Appropriate management is critical because of the increasing number of visitors. Signs are a cost-effective method to reduce the negative impacts on visitors and enhance visitor experiences (Brown et al., 2010). This research aimed to investigate how visitors pay attention to signs, view the trail surrounded by trees and behave in a natural space.

Drivers Of Tree Canopy Loss In A Mid-Sized Growing City: Case Study In Portland, Or (Usa), Yunjae Ock, Vivek Shandas, Fernanda Ribeiro, Noah Young

Geography Faculty Publications and Presentations

The benefits of the urban tree and tree canopy (UTC) are increasingly crucial in addressing urban sustainability. Yet, increasingly evident from earlier research is the distributional inequities of UTC and active efforts to expand tree plantings. Less is known about the dynamics of UTC loss over time and location. This study aims to understand the dynamics of UTC change, especially canopy loss, and to investigate the drivers of the loss. This study draws on a high–resolution dataset of an urban canopy in Portland, Oregon, USA, assessing changes in UTC from 2014 to 2020. By integrating demographic, biophysical, and policy data …

Exploring The Dynamics Of Cross-Boundary Interactions In Qinglinkou, China: The Perspective Of Networks Of Second-Home Owners, Meiling Wu, Mengqiu Cao, Jiuxia Sun

Research Collection School of Social Sciences

Cross-boundary interactions between second-home owners and local are complex over time–networks form and evolve within second-home owners and between owners and locals, each with its deliberately selective inclusion and exclusion. However, little attention has been paid to this phenomenon in the literature. This study, based on social network analysis alongside qualitative interviews, explores the dynamics of interactions between second-home owners and locals by analysing the networks formed by second-home owners in Qinglinkou, China. The ways in which second-home owners maintain and strengthen pre-existing networks with other owners and forge new links with locals, shape the cross-boundary interactions between the two …

Relocating Lubra Village And Visualizing Himalayan Flood Damages With Remote Sensing, Ronan Wallace, Yungdrung Tsewang Gurung, Ryan Kastner

Journal of Critical Global Issues

As weather patterns change worldwide, isolated communities impacted by climate change go unnoticed and we need community-driven solutions. In Himalayan Mustang, Nepal, indigenous Lubra Village faces threats of increasing flash flooding. After every flood, residual muddy sediment hardens across the riverbed like concrete, causing the riverbed elevation to rise. As elevation increases, sediment encroaches on Lubra’s agricultural fields and homes, magnifying flood vulnerability. In the last monsoon season alone, the Lubra community witnessed floods swallowing several agricultural fields and damaging two homes. One solution considers relocating the village to a new location entirely. However, relocation poses a challenging task, as …

A 20-Year Ecotone Study Of Pacific Northwest Mountain Forest Vulnerability To Changing Snow Conditions, Todd R. Lookingbill, Jack Dupuy, Ellery Jacobs University Of Richmond, Matteo Gonzalez, Tihomir S. Kostadinov

Geography and the Environment Faculty Publications

Background: Global climate change is expected to significantly alter growing conditions along mountain gradients. Landscape ecological patterns are likely to shift significantly as species attempt to adapt to these changes. We evaluated the extent to which spatial (elevation and canopy cover) and temporal (decadal trend and El Niño–Southern Oscillation/Pacific Decadal Oscillation) factors impact seasonal snowmelt and forest community dynamics in the Western Hemlock–True Fir ecotone region of the Oregon Western Cascades, USA. (2) Methods: Tsuga heterophylla and Abies amabilis seedling locations were mapped three times over 20 years (2002–2022) on five sample transects strategically placed to cross the ecotone. Additionally, …

Family Tourism: Understanding The Concept And Improving The Parents - Children Relationship, Anukrati Sharma Anu, Shruti Arora Dr.

Journal of Sustainability and Resilience

Family tourism is driven by the increasing importance placed on promoting family togetherness, keeping family bonds alive and creating family memories. It not only builds life long memories, but also gives break away from the usual routine, opening the minds to new cultures, foods and experiences and even good for health. According to the researchers, positive relationships between parents and children are important for children’s overall development and builds trust. Various articles on family tourism from 2010 to 2023 were gathered from the Web of Sciences, UGC Journals, Scopus indexed journals, books, websites and was reviewed by the researchers.

Examining Crises Resilience In Tourism : A Systematic Review Of Literature, Kanyamwa Lunanga Félix, George Ariya, Priscillah Omagwa

Journal of Sustainability and Resilience

This study is the systematic review of literature on the resilience of tourism businesses. Following the various crises and disasters that shook the World between 2000 and 2020, the interest of researchers in tourism resilience has increased significantly. Despite the interest felt by these scientists, the notion of resilience has remained fragmented in terms of its definition and dimensions. This review presents an overview of the literature on the resilience of tourism businesses from 2013 to June 2023. The study revealed that there is a lack of cohesion in the literature on resilience from the definition to its influencing factors. …

Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das

The Geographical Bulletin

Forest fires cause huge losses and are a serious problem facing many countries worldwide, including the USA, Canada, Brazil, Siberia, and Indonesia, to name a few. Automatic identification of forest fires in an image is thus an important field to research in order to minimize disasters while also helping in mitigation planning and designing rescue tactics. Artificial Intelligence technologies, especially deep neural networks, have emerged recently with promises to detect fires with better accuracy from an image. However, the massive energy consumption of deep neural networks thwarts their widespread adoption, especially when it comes to onsite detection of fire utilizing …

Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong

The Geographical Bulletin

Motor vehicle crash analysis is among the most insightful metrics for public safety officials, researchers, and drivers. In this article, geographical information systems (GIS) tools were used to study the spatial and temporal trends of traffic crashes and fatal crashes. The methodology involves collecting spatial crash data over time and using computer-based analysis to overlay the road data against various spatial and temporal parameters in the Atlanta metropolitan region. Results show major crash hotspots in the region, such as the cites of Marietta, Kennesaw, and College Park. Hotspots tend to form on interstate highways, while smaller state highways have fewer …

Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell

The Geographical Bulletin

Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …

Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong

The Geographical Bulletin

Seagrasses are important resources which form a vital part of the ocean ecosystem. They are also considered blue carbon because of their capability of sequestrating carbon. Seagrass distribution can be affected by many factors including ocean temperature. It is highly likely that recent climate change may increase ocean temperature significantly in East Asia and consequently alter seagrass distribution patterns. This study aims at predicting the impact of ocean temperature increases on seagrass habitats around the Korean Peninsula. Using the Maximum Entropy (MaxEnt) Model, seagrass habitat distributions were modeled when sea temperature rises by 1°C, 2°C, 3°C, and 4°C. Results show …

Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao

The Geographical Bulletin

The purpose of this study is to compare the different performances of three commonly used models (i.e., linear regression, random forest regression, and deep neural network (DNN)) to predict cloud fraction (CF) using ground-based shortwave solar radiation measurements and analyze the importance of the input features. The CF data are obtained from the Surface Radiation Budget (SURFRAD) and the Atmospheric Radiation Measurement (ARM) and the irradiance data from the USDA UV-B Monitoring and Research Program. The study finds that CF of opaque and total clouds can be best predicted using both Random Forest Regression and DNN with the validation R2 …

Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim

The Geographical Bulletin

Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and operations. This study aims to predict congestion using time-series deep learning models, focusing on a chronically congested road section. The research area is the Atlanta Downtown Connector, a heavily trafficked route passing through the heart of the city of Atlanta. To address issues often associated with sensor and GPS-based data collection, traffic data was obtained from an open-source online map service, Google Maps. A multivariate time-lagged LSTM model …

A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra

The Geographical Bulletin

Ukraine-Russian political relations over the years have alternatively experienced periods of tranquility and turmoil with violent conflicts since 1917, including the events of the 2014 annexation of Crimea and the 2022 Russian invasion of the entirety of Ukraine. These conflicts remain developmental threats and their assessment requires multi-perspective analysis. Understanding the spatial dimensions of such conflicts and their consequences on physical and social spaces at varying scales could provide credible scientific impetuses on which targeted post-conflict remediations could be built. This preliminary study therefore takes advantage of the capabilities of satellite remote sensing, to provide quick and effective spatiotemporal analysis …

Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, Mohammad Anwar Alattar

The Geographical Bulletin

A growing number of studies have been conducted on urban green spaces (UGSs), given their essential role in mitigating urbanization externalities. The current available methods for acquiring and analyzing UGSs data suffer from several limitations. For example, free satellite imagery exhibits pixel distortion and fails to account for fine-grained structure such as accurate geometry or size. Moreover, official UGSs datasets are typically updated periodically, not continuously. This work provides a Python-derived open-source based analysis for acquiring, modeling and analyzing UGSs change patterns using landscape metrics. To demonstrate the feasibility of the proposed approach, it is applied on the New York …

High-Mountain Hazards In The Indian Himalaya: An Assessment Of The Causes And Effects Of The Chamoli Flood In 2021, Christina M. Salzmann, Sarah J. Halvorson, Anna E. Klene

The Geographical Bulletin

On 7 February 2021, a devastating flood severely impacted the Ronti Gad, Rishiganga, and Dhauliganga River Valleys in the northwestern District of Chamoli, India. The flood washed away two hydropower projects and caused more than 200 fatalities. This study assessed some of the causes and effects of this catastrophic flood event and aims to provide further documentation that the event was not caused by a glacial lake outburst flood, as many reports initially indicated. Analysis of high-resolution satellite imagery, digital elevation model (DEM) differencing, and precipitation and temperature data showed that an ice-rock avalanche was released as a result of …

Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, Isabelle Lopez, Benjamin T. Fraser, Russell G. Congalton

The Geographical Bulletin

The American beech (Fagus grandifolia) plays a key role throughout eastern North American forests. However, beech bark disease (BBD) causes widespread mortality of beech trees. We investigated whether imagery collected using an unpiloted aerial system (UAS) could differentiate beech tree health. Reference data were collected from 140 beech trees in New Hampshire and were visually classified as having “no/trace damage,” “moderate damage,” or “heavy damage.” Multispectral imagery was collected from a UAS, and 44 image features were derived for each beech crown. We used machine learning to identify the importance of each feature in distinguishing between the three health classes …

Editors' Note, Jc Seong

The Geographical Bulletin

Editors' Note

Front Matters, Nancy Hoalst Pullen

The Geographical Bulletin

Front Matter

Volume 64-2 Complete Issue, Nancy Hoalst Pullen

The Geographical Bulletin

Complete Issue

The Usage Of Band Ratios To Predict Lake Water Quality Parameters Using Sentinel-2 L1c Imagery, Austin Spoor, Ho-Seop Cha

International Journal of Geospatial and Environmental Research

Band ratios using remote imagery can be useful for monitoring large bodies of water when high quality imagery is available. Sentinel-2 satellite imagery provides frequent, high-resolution coverage of the globe. This study set out to test the usefulness of existing band ratios for estimating chlorophyll a (CHL-a), dissolved organic carbon (DOC), and turbidity with Sentinel-2 imagery. USGS in-situ data was matched to Sentinel-2 imagery of Beaver Lake, Arkansas taken August 2015 to July 2019 and the dark spectrum fitting (DSF) atmospheric correction method in ACOLITE was applied to generate surface reflectance values. CHL-a was estimated using two …

The Status Of Urban System In Bethlehem Governorate: Study On Urban Geography, Yacoub Jeries Al-Qasasfeh

An-Najah University Journal for Research - B (Humanities)

The aim of the study is to analyse the status of urban system in Bethlehem governorate, through setting the hierarchical ratings for different urban populations in it. And showing the adequacy of this rating by applying certain quantitive measurements including the grade and volume of these populations, their urban density, the law of primate city by Jefferson, and the volumetric grade according to Zipf's rule of grade and volume. Also showing the volumetric urban contrast between them, and the volume of the urban domination for the main city in the governorate according to the laws and the followed modules in …

Patterns Of Infringement, Risk, And Impact Driven By Coal Mining Permits In Indonesia, Tim T. Werner, Tessa Toumbourou, Victor Maus, Martin C. Lukas, Laura J. Sonter, Muhamad Muhdar, Rebecca K. Runting, Anthony J. Bebbington

Geography

Coal mining is known for its contributions to climate change, but its impacts on the environment and human lives near mine sites are less widely recognised. This study integrates remote sensing, GIS, stakeholder interviews and extensive review of provincial data and documents to identify patterns of infringement, risk and impact driven by coal mining expansion across East Kalimantan, Indonesia. Specifically, we map and analyse patterns of mining concessions, land clearing, water cover, human settlement, and safety risks, and link them with mining governance and regulatory infractions related to coal mining permits. We show that excessive, improper permit granting and insufficient …

Increasing Mine Waste Will Induce Land Cover Change That Results In Ecological Degradation And Human Displacement, John R. Owen, Deanna Kemp, Alex M. Lechner, Michelle Ang Li Ern, Éléonore Lèbre, Gavin M. Mudd, Mark G. Macklin, Muhamad Risqi U. Saputra, Tahjudil Witra, Anthony J. Bebbington

Geography

Highlights

• Mining-induced displacement is a severely under researched social policy problem.
• Through global data sources and historic remote sensing we analyze this problem.
• The main output of most mining activity is hazardous waste.
• We confirm waste as the principal source of human displacement globally in mining.
• Resources to fuel urbanisation and energy transition targets will drive increases in waste.

Agricultural Groundcover Update January 2024, Justin Laycock

Natural resources published reports

Summary

• About 94% of the grainbelt had adequate (more than 50%) vegetative groundcover to prevent wind erosion in January 2024.
• In the northern half of the grainbelt, a larger-than-average area has 51–60% groundcover, which is expected to decrease to below 50% over the coming months.
• Just under 6% of the grainbelt (855,000 ha) had less than 50% groundcover, which is inadequate to prevent wind erosion. West Midlands Ag Soil Zone had the highest risk of wind erosion and 14.5% of this farmland had inadequate groundcover.
• Less than 0.5% of the grainbelt had a high to very high risk of wind …