Reconciling the Spatial Distribution of the Surface Temperature Trends in the Southeastern United States

2012 ◽  
Vol 25 (10) ◽  
pp. 3610-3618 ◽  
Author(s):  
V. Misra ◽  
J.-P. Michael ◽  
R. Boyles ◽  
E. P. Chassignet ◽  
M. Griffin ◽  
...  
Keyword(s):  
United States ◽  
South Carolina ◽  
Surface Temperature ◽  
Spatial Heterogeneity ◽  
Rural Areas ◽  
Urban Areas ◽  
Summer Season ◽  
Boreal Summer ◽  
Temperature Trends ◽  
Linear Trends

Abstract This study attempts to explain the considerable spatial heterogeneity in the observed linear trends of monthly mean maximum and minimum temperatures (Tmax and Tmin) from station observations in the southeastern (SE) United States (specifically Florida, Alabama, Georgia, South Carolina, and North Carolina). In a majority of these station sites, the warming trends in Tmin are stronger in urban areas relative to rural areas. The linear trends of Tmin in urban areas of the SE United States are approximately 7°F century−1 compared to about 5.5°F century−1 in rural areas. The trends in Tmax show weaker warming (or stronger cooling) trends with irrigation, while trends in Tmin show stronger warming trends. This functionality of the temperature trends with land features also shows seasonality, with the boreal summer season showing the most consistent relationship in the trends of both Tmax and Tmin. This study reveals that linear trends in Tmax in the boreal summer season show a cooling trend of about 0.5°F century−1 with irrigation, while the same observing stations on an average display warming trends in Tmin of about 3.5°F century−1. The seasonality and the physical consistency of these relationships with existing theories may suggest that urbanization and irrigation have a nonnegligible influence on the spatial heterogeneity of the surface temperature trends over the SE United States. The study also delineates the caveats and limitations of the conclusions reached herein due to the potential influence of perceived nonclimatic discontinuities (which incidentally could also have a seasonal cycle) that have not been taken into account.

scholarly journals Identificação de Ilhas de Calor na Cidade de Campina Grande-PB Utilizando Sensoriamento Remoto (Identification of Heat Islands in Campina Grande City-PB Using Remote Sensing)

2016 ◽  
Vol 9 (2) ◽  
pp. 614 ◽  
Author(s):  
Elânia Daniele Silva Araújo
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Rural Areas ◽  
Urban Areas ◽  
Spatial And Temporal Variability ◽  
Heat Islands ◽  
Social Nature ◽  
Spatial Changes ◽  
Remote Sensing Techniques ◽  
The City

A intensa urbanização causa diversos problemas de natureza ambiental, climática e social. O crescimento não planejado da população urbana e a remoção da vegetação são fatores que intensificam estes problemas. As temperaturas na cidade são significativamente mais quentes do que as suas zonas rurais circundantes devido às atividades humanas. As intensas mudanças espaciais em áreas urbanas, promovem significativo aumento na temperatura, causando o chamado efeito de Ilha de Calor Urbano (ICU). Campina Grande é uma cidade de tamanho médio que experimentou um crescimento desordenado, desde o tempo do comércio de algodão e, como qualquer cidade de grande ou médio porte, sofre alterações em seu espaço. Dessa forma, este estudo teve por objetivo analisar a variabilidade espaço-temporal da temperatura da superfície (Ts) e detectar ICU, através de técnicas de sensoriamento remoto. Para o efeito, foram utilizadas imagens dos satélites Landsat 5 e 8, dos anos de 1995, 2007 e 2014. Aumentos da Ts foram bem evidentes e foram detectadas duas ICU. Campina Grande mostra um padrão de tendência: o crescimento urbano não planejado é responsável por mudanças no ambiente físico e na forma e estrutura espacial da cidade, o que se reflete sobre o microclima e, em última análise, na qualidade de vida das pessoas.   ABSTRACT The intense urbanization causes several problems of environmental, climate and social nature. The unplanned growth of urban population and the vegetation removal are factors that deepen these problems. Temperatures in the city are significantly warmer than its surrounding rural areas due to human activities. Large spatial changes in urban areas promote significant increase in temperature, causing the so-called Urban Heat Island effect (UHI). Campina Grande is a medium-sized town that experienced an uncontrolled growth since the time of the cotton trade and like any large or medium-sized city, undergoes changes in its space. Therefore, this study aimed to analyze surface temperature spatial and temporal variability and to detect potential UHI, through remote sensing techniques. Spectral images from Landsat 5 and 8 satellites were used. Using images from years 1995, 2007 and 2014, considerable increases in temperature were identified and two UHI were recognize. Campina Grande shows a trend pattern: the urban unplanned growth is responsible for changes in the physical environment and in the form and spatial structure of the city, reflecting on people quality of life. Keywords: change detection, surface temperature, heat islands, urbanization.   

Temporal trends in ambulatory antibiotic prescription rates in South Carolina: Impact of age, gender, and resident location

2020 ◽  
Vol 41 (8) ◽  
pp. 879-882
Author(s):  
Hana R. Winders ◽  
Julie Royer ◽  
Mariam Younas ◽  
Julie Ann Justo ◽  
P. Brandon Bookstaver ◽  
...  
Keyword(s):  
South Carolina ◽  
Rural Areas ◽  
Urban Areas ◽  
Antibiotic Prescription ◽  
Temporal Trends ◽  
Age Groups ◽  
Winter Season ◽  
Ambulatory Setting ◽  
Oral Antibiotic ◽  
Prescription Rates

AbstractObjective:To examine the temporal trends in ambulatory antibiotic prescription fill rates and to determine the influences of age, gender, and location.Design:Population-based cohort study.Setting:Ambulatory setting in South Carolina.Patients:Patients ≤64 years of age from January 2012 to December 2017.Methods:Aggregated pharmacy claims data for oral antibiotic prescriptions were utilized to estimate community antibiotic prescription rates. Poisson regression or Student t tests were used to examine overall temporal trend in antibiotic prescription rates, seasonal variation, and the trends across age group, gender, and rural versus urban location.Results:Overall antibiotic prescription rates decrease from 1,127 to 897 per 1,000 person years (P < .001). The decrease was more noticeable in persons aged <18 years (26%) and 18–39 years (20%) than in those aged 40–64 years (5%; P < .001 for all). Prescription rates were higher among females than males in all age groups, although this finding was the most pronounced in group aged 18–39 years (1,232 vs 585 per 1,000 person years; P < .0001). Annualized antibiotic prescription rates were higher during the winter months (December–March) than the rest of the year (1,145 vs 885 per 1,000 person years; P < .0001), and rates were higher in rural areas than in urban areas (1,032 vs 941 per 1,000 person years; P < .0001).Conclusions:The decline in ambulatory antibiotic prescription rates is encouraging. Ongoing ambulatory antibiotic stewardship efforts across South Carolina should focus on older adults, rural areas, and during the winter season when antibiotic prescriptions peak.

scholarly journals Seasonal Hydrological Forecasts for Watersheds over the Southeastern United States for the Boreal Summer and Fall Seasons

2013 ◽  
Vol 17 (25) ◽  
pp. 1-22 ◽  
Author(s):  
Satish Bastola ◽  
Vasubandhu Misra ◽  
Haiqin Li
Keyword(s):  
United States ◽  
South Carolina ◽  
Climate Model ◽  
Southeastern United States ◽  
Boreal Summer ◽  
Hydrological Models ◽  
State University ◽  
Streamflow Prediction ◽  
Seasonal Climate ◽  
Hydrological Prediction

Abstract The authors evaluate the skill of a suite of seasonal hydrological prediction experiments over 28 watersheds throughout the southeastern United States (SEUS), including Florida, Georgia, Alabama, South Carolina, and North Carolina. The seasonal climate retrospective forecasts [the Florida Climate Institute–Florida State University Seasonal Hindcasts at 50-km resolution (FISH50)] is initialized in June and integrated through November of each year from 1982 through 2001. Each seasonal climate forecast has six ensemble members. An earlier study showed that FISH50 represents state-of-the-art seasonal climate prediction skill for the summer and fall seasons, especially in the subtropical and higher latitudes. The retrospective prediction of streamflow is based on multiple calibrated rainfall–runoff models. The hydrological models are forced with rainfall from FISH50, (quantile based) bias-corrected FISH50 rainfall (FISH50_BC), and resampled historical rainfall observations based on matching observed analogs of forecasted quartile seasonal rainfall anomalies (FISH50_Resamp). The results show that direct use of output from the climate model (FISH50) results in huge biases in predicted streamflow, which is significantly reduced with bias correction (FISH50_BC) or by FISH50_Resamp. On a discouraging note, the authors find that the deterministic skill of retrospective streamflow prediction as measured by the normalized root-mean-square error is poor compared to the climatological forecast irrespective of how FISH50 (e.g., FISH50_BC, FISH50_Resamp) is used to force the hydrological models. However, our analysis of probabilistic skill from the same suite of retrospective prediction experiments reveals that, over the majority of the 28 watersheds in the SEUS, significantly higher probabilistic skill than climatological forecast of streamflow can be harvested for the wet/dry seasonal anomalies (i.e., extreme quartiles) using FISH50_Resamp as the forcing. The authors contend that, given the nature of the relatively low climate predictability over the SEUS, high deterministic hydrological prediction skills will be elusive. Therefore, probabilistic hydrological prediction for the SEUS watersheds is very appealing, especially with the current capability of generating a comparatively huge ensemble of seasonal hydrological predictions for each watershed and for each season, which offers a robust estimate of associated forecast uncertainty.

Bicyclist Crash Types on National, State, and Local Levels: A New Look

2019 ◽  
Vol 2673 (6) ◽  
pp. 664-676 ◽  
Author(s):  
Libby Thomas ◽  
Krista Nordback ◽  
Rebecca Sanders
Keyword(s):  
United States ◽  
Rural Areas ◽  
Urban Areas ◽  
The United States ◽  
Fatal Crash ◽  
Serious Injury ◽  
State And Local ◽  
Crash Types ◽  
Serious Injuries ◽  
The City

This paper presents an overview of prevalent bicyclist crash types in the United States, providing insights for practitioners that may be useful in planning safer networks and taking other proactive and risk-based approaches to treatment. The study compares fatal bicyclist crash types from national data with serious injury and all-severity bicyclist collisions from the state of North Carolina (NC) and the city of Boulder, Colorado. Overall, bicyclist fatalities in the United States are more prevalent in urban areas (69%) than rural areas (29%). Though the majority of all-severity crashes are at intersections, most fatal and disabling injury bicyclist crashes occur at non-intersection locations, including nearly one-third of bicyclists who die from collisions involving overtaking motorists. Top intersection crash types across national fatal and all-severity crashes in NC and Boulder include bicyclists failing to yield and motorists turning across a bicyclist’s path. However, many of the top all-severity types in the two jurisdictions differ from the top fatal crash types nationwide. These comparisons provide a fresh look at bicyclist crash type trends and have potential importance with respect to planning safer networks for Vision Zero communities, since a key finding is that locations and crash types most prevalent among fatal and serious injuries may differ from the most prevalent types for all-severity crashes. The findings could be useful to agencies lacking their own resources for risk-based assessment, but also suggest it is important to analyze higher severity crash types and jurisdiction-specific data when possible.

scholarly journals Variations of the Mid-Pacific Trough and Their Relations to the Asian–Pacific–North American Climate: Roles of Tropical Sea Surface Temperature and Arctic Sea Ice

2018 ◽  
Vol 31 (6) ◽  
pp. 2233-2252 ◽  
Author(s):  
Kaiqiang Deng ◽  
Song Yang ◽  
Mingfang Ting ◽  
Chundi Hu ◽  
Mengmeng Lu
Keyword(s):  
United States ◽  
Sea Ice ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Arctic Sea Ice ◽  
Sea Surface ◽  
The Arctic ◽  
Boreal Summer ◽  
Arctic Sea ◽  
Second Mode

The mid-Pacific trough (MPT), occurring in the upper troposphere during boreal summer, acts as an atmospheric bridge connecting the climate variations over Asia, the Pacific, and North America. The first (second) mode of empirical orthogonal function analysis of the MPT, which accounts for 20.3% (13.4%) of the total variance, reflects a change in its intensity on the southwestern (northeastern) portion of the trough. Both modes are significantly correlated with the variability of tropical Pacific sea surface temperature (SST). Moreover, the first mode is affected by Atlantic SST via planetary waves that originate from the North Atlantic and propagate eastward across the Eurasian continent, and the second mode is influenced by the Arctic sea ice near the Bering Strait by triggering an equatorward wave train over the northeast Pacific. A stronger MPT shown in the first mode is significantly linked to drier and warmer conditions in the Yangtze River basin, southern Japan, and the northern United States and wetter conditions in South Asia and northern China, while a stronger MPT shown in the second mode is associated with a drier and warmer southwestern United States. In addition, an intensified MPT (no matter whether in the southwestern or the northeastern portion) corresponds to more tropical cyclones (TCs) over the western North Pacific (WNP) and fewer TCs over the eastern Pacific (EP) in summer, which is associated with the MPT-induced ascending and descending motions over the WNP and the EP, respectively.

Seasonal and spatial heterogeneity of recent sea surface temperature trends in the Caribbean Sea and southeast Gulf of Mexico

2012 ◽  
Vol 64 (5) ◽  
pp. 956-965 ◽  
Author(s):  
Iliana Chollett ◽  
Frank E. Müller-Karger ◽  
Scott F. Heron ◽  
William Skirving ◽  
Peter J. Mumby
Keyword(s):  
Gulf Of Mexico ◽  
Surface Temperature ◽  
Spatial Heterogeneity ◽  
Sea Surface Temperature ◽  
Caribbean Sea ◽  
Sea Surface ◽  
Temperature Trends ◽  
The Caribbean

scholarly journals Spatial heterogeneity of sea surface temperature trends in the Gulf of Alaska

2005 ◽  
Vol 43 (3) ◽  
pp. 241-247 ◽  
Author(s):  
Steven J. Bograd ◽  
Roy Mendelssohn ◽  
Franklin B. Schwing ◽  
Arthur J. Miller
Keyword(s):  
Surface Temperature ◽  
Spatial Heterogeneity ◽  
Sea Surface Temperature ◽  
Gulf Of Alaska ◽  
Sea Surface ◽  
Temperature Trends

scholarly journals Urban Thermal Environment and Heat Island in Ho Chi Minh City, Vietnam from Remote Sensing Data

2017 ◽  
Author(s):  
Van Tran Thi ◽  
Bao Ha Duong Xuan ◽  
Mai Nguyen Thi Tuyet
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Rural Areas ◽  
Land Surface ◽  
Urban Areas ◽  
Ho Chi Minh City ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
The Impact

In urban area, one of the great problem is the rise of temperature, which leads to form the urban heat island effect. This paper refers to the trend of the urban surface temperature extracted from the Landsat images from which to consider changes in the formation of surface urban heat island for the north of Ho Chi Minh city in period 1995-2015. Research has identified land surface temperature from thermal infrared band, according to the ability of the surface emission based on characteristics of normalized difference vegetation index NDVI. The results showed that temperature fluctuated over the city with a growing trend and the gradual expansion of the area of the high-temperature zone towards the suburbs. Within 20 years, the trend of the formation of surface urban heat island with two typical locations showed a clear difference between the surface temperature of urban areas and rural areas with space expansion of heat island in 4 times in 2015 compared to 1995. An extreme heat island located in the inner city has an area of approximately 18% compared to the total area of the region. Since then, the solution to reduce the impact of urban heat island has been proposed, in order to protect the urban environment and the lives of residents in Ho Chi Minh City becoming better

scholarly journals ANALYSIS OF GLOBAL URBAN TEMPERATURE TRENDS AND URBANIZATION IMPACTS

2018 ◽  
Vol XLII-3 ◽  
pp. 757-763
Author(s):  
K. I. Lee ◽  
J. Ryu ◽  
S. W. Jeon
Keyword(s):  
Surface Temperature ◽  
Urban Area ◽  
Urban Areas ◽  
Linear Regression Analysis ◽  
Urban Climate ◽  
Mean Value ◽  
Future Research ◽  
Temperature Trends ◽  
Standard Values

Due to urbanization, urban areas are shrinking green spaces and increasing concrete, asphalt pavement. So urban climates are different from non-urban areas. In addition, long-term macroscopic studies of urban climate change are becoming more important as global urbanization affects global warming. To do this, it is necessary to analyze the effect of urbanization on the temporal change in urban temperature with the same temperature data and standards for urban areas around the world.<br> In this study, time series analysis was performed with the maximum, minimum, mean and standard values of surface temperature during the from 1980 to 2010 and analyzed the effect of urbanization through linear regression analysis with variables (population, night light, NDVI, urban area).<br> As a result, the minimum value of the surface temperature of the urban area reflects an increase by a rate of 0.28K&amp;thinsp;decade<sup>-1</sup> over the past 31 years, the maximum value reflects an increase by a rate of 0.372K&amp;thinsp;decade<sup>-1</sup>, the mean value reflects an increase by a rate of 0.208 decade<sup>-1</sup>, and the standard deviation reflects a decrease by rate of 0.023K&amp;thinsp;decade<sup>-1</sup>. And the change of surface temperature in urban areas is affected by urbanization related to land cover such as decrease of greenery and increase of pavement area, but socioeconomic variables are less influential than NDVI in this study.<br> This study are expected to provide an approach to future research and policy-planning for urban temperature change and urbanization impacts.

scholarly journals Demographic and Disease Characteristics of People With Multiple Sclerosis Living in Urban and Rural Areas

2006 ◽  
Vol 8 (3) ◽  
pp. 89-97 ◽  
Author(s):  
Robert J. Buchanan ◽  
Randolph Schiffer ◽  
Alexa Stuifbergen ◽  
Li Zhu ◽  
Suojin Wang ◽  
...  
Keyword(s):  
United States ◽  
Multiple Sclerosis ◽  
Rural Areas ◽  
Urban Areas ◽  
The United States ◽  
Primary Progressive ◽  
Disease Characteristics ◽  
Urban Rural ◽  
Disease Modifying ◽  
Urban And Rural Areas

This study compares demographic and disease-related characteristics of people with multiple sclerosis (MS) living in urban and rural areas. The data analyzed for this study were collected from a survey of 1518 people with MS living throughout the United States from October 2004 through January 2005. We found significant urban-rural differences in various MS characteristics, including type of MS. A significantly larger proportion of people with MS in remote rural areas than their urban counterparts responded that they had primary progressive MS. People with MS in rural areas were significantly more likely than those in urban areas to report that MS symptoms interfered with their independence. A significantly larger proportion of people with MS in remote rural areas than in urban areas were not receiving disease-modifying medications. Our results suggest that MS disease expression varies across urban-rural gradients. Although the findings are not definitive, we hope that other investigative groups will build on these results and work toward confirming and understanding them.

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