scholarly journals Impacts of 319 wind farms on surface temperature and vegetation in the United States

2022 ◽  
Author(s):  
Yingzuo Qin ◽  
Yan Li ◽  
Ru Xu ◽  
Chengcheng Hou ◽  
Alona Armstrong ◽  
...  
Keyword(s):  
United States ◽  
Surface Temperature ◽  
Land Surface ◽  
Wind Farm ◽  
Wind Farms ◽  
Energy System ◽  
The United States ◽  
Farm Size ◽  
Environmental Implications ◽  
Local Climate

Abstract The development of wind energy is essential for decarbonizing energy supplies. However, the construction of wind farms changes land surface temperature (LST) and vegetation by modifying land surface properties and disturbing land-atmosphere interactions. In this study, we used MODIS satellite data to quantify the impacts of 319 wind farms on local climate and vegetation in the United States. Our results indicated insignificant impacts on LST during the daytime but significant warming of 0.10°C on annual mean nighttime LST averaged for all wind farms, and 0.36°C for those 61% wind farm samples with warming. The nighttime LST impacts exhibited seasonal variations, with stronger warming in winter and autumn up to 0.18°C but weaker effects in summer and spring. We observed a decrease in peak NDVI for 59% of wind farms due to infrastructure construction, with an average decrease of 0.0067 compared to non-wind-farm areas. The impacts of wind farms depended on wind farm size, with winter LST impacts for large and small wind farms ranging from 0.21°C to 0.14°C, and peak NDVI impacts ranging from -0.009 to -0.006. The LST impacts declined with the increasing distance from the wind farm, with detectable impacts up to 10 km. In contrast, the vegetation impacts on NVDI were only evident within the wind farm locations. Wind farms built in grassland and cropland showed larger warming effects but weaker vegetation impact compared to those built on forest land. Furthermore, spatial correlation analyses with environmental factors suggest limited geographical controls on the heterogeneous wind farm impacts and highlight the important role of local factors. Our analyses based on a large sample offer new observational evidence for the wind farm impacts with improved representativeness. This knowledge is important to fully understand the climatic and environmental implications of energy system decarbonization.

scholarly journals Pattern and Trend of Night Land Surface Temperature in Africa

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cherdchai Me-ead ◽  
Rhysa McNeil
Keyword(s):  
United States ◽  
Factor Analysis ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Analysis Data ◽  
The United States ◽  
Eastern Africa ◽  
Spline Models ◽  
North And South

AbstractThis study aims to identify patterns and trends of the night land surface temperature over eight day period from 2000 to 2014 in Africa using statistical analysis. Data were obtained from the United States National Aeronautics and Space Administration satellite, comprising 99 locations of 5° by 5° latitude and longitude grid-boxes between latitudes 35° north and south of the equator and longitudes 20° west to 50° east. First, the variation in the night surface temperatures was removed. Then, the trend of seasonally adjusted night temperatures was estimated using linear regression. The correlations between adjoining regions were considered by using factor analysis to classify the temperatures into four regions. Cubic spline models were fitted to the data within these regions to investigate patterns of the temperatures. The result showed that temperatures in most regions of Africa increased. The temperatures decreased was observed in southern Africa and parts of central and eastern Africa.

scholarly journals Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United States

2009 ◽  
Vol 999 (1) ◽  
pp. 167
Author(s):  
Rachel T. Pinker ◽  
Donglian Sun ◽  
Meng-Pai Hung ◽  
Chuan Li ◽  
Jeffrey B. Basara
Keyword(s):  
United States ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
The United States

Potential Impacts from a Worst Case Discharge from an United States Offshore Wind Farm

2014 ◽  
Vol 2014 (1) ◽  
pp. 869-877
Author(s):  
CDR Tim Gunter
Keyword(s):  
United States ◽  
Wind Energy ◽  
New England ◽  
Rhode Island ◽  
Wind Farm ◽  
Wind Farms ◽  
The United States ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Worst Case

ABSTRACT The main purpose of this research is to explore potential environmental impacts of a worst case discharge (WCD) from an offshore commercial wind farm electric service platform (ESP) in the Northeast United States. Wind farms in the continental United States are a growing industry as an energy alternative to traditional oil, coal, and natural gas energy sources. While many offshore wind farms already exist in Europe and around the world, the Cape Wind Project in New England received the first federally approved lease for an offshore wind energy production facility in the United States. While offshore wind energy is a green source of energy, wind driven energy has its own set of environmental risks, including the risks of an oil spill. A systematic review of scholarly journals, federal government websites and other academic resources was conducted to identify previous spills in the Northeast with the closest match in volume and location to the Cape Wind Project. The oil spills from the barge North Cape in 1996 near Point Judith, Rhode Island and from the barge Florida in Buzzards Bay, Massachusetts, in 1996, had the most similarities to a potential WCD spill from the Cape Wind Project. Both of these spills adversely impacted the environment, and provide useful information that can be used for the planning efforts surrounding a WCD event from the Cape Wind Project.

scholarly journals Simulating Impacts of Real-World Wind Farms on Land Surface Temperature Using the WRF Model: Validation with Observations

2017 ◽  
Vol 145 (12) ◽  
pp. 4813-4836 ◽  
Author(s):  
Geng Xia ◽  
Matthew C. Cervarich ◽  
Somnath Baidya Roy ◽  
Liming Zhou ◽  
Justin R. Minder ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Wind Turbine ◽  
Land Surface Temperature ◽  
Real World ◽  
Land Surface ◽  
Wind Farm ◽  
Wrf Model ◽  
Wind Farms ◽  
Satellite Observations ◽  
Simulated Wind

This study simulates the impacts of real-world wind farms on land surface temperature (LST) using the Weather Research and Forecasting (WRF) Model driven by realistic initial and boundary conditions. The simulated wind farm impacts are compared with the observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the first Wind Forecast Improvement Project (WFIP) field campaign. Simulations are performed over west-central Texas for the month of July throughout 7 years (2003–04 and 2010–14). Two groups of experiments are conducted: 1) direct validations of the simulated LST changes between the preturbine period (2003–04) and postturbine period (2010–14) validated against the MODIS observations; and 2) a model sensitivity test of LST to the wind turbine parameterization by examining LST differences with and without the wind turbines for the postturbine period. Overall, the WRF Model is moderately successful at reproducing the observed spatiotemporal variations of the background LST but has difficulties in reproducing such variations for the turbine-induced LST change signals at pixel levels. However, the model is still able to reproduce coherent and consistent responses of the observed LST changes at regional scales. The simulated wind farm–induced LST warming signals agree well with the satellite observations in terms of their spatial coupling with the wind farm layout. Moreover, the simulated areal mean warming signal (0.20°–0.26°C) is about a tenth of a degree smaller than that from MODIS (0.33°C). However, these results suggest that the current wind turbine parameterization tends to induce a cooling effect behind the wind farm region at nighttime, which has not been confirmed by previous field campaigns and satellite observations.

Development Channelization, Partisanship, and Populism: Possibilities for Rural Renewal in the Death Throes of Coal

2021 ◽  
pp. 073112142110246
Author(s):  
Adam Mayer
Keyword(s):  
United States ◽  
Political Ideology ◽  
Energy System ◽  
The United States ◽  
Coal Industry ◽  
Right Wing ◽  
Donald Trump ◽  
Partisan Polarization ◽  
Rural Economies ◽  
Right Wing Populism

In the last few decades, the United States has experienced several related and significant societal trends—the transition of the energy system away from coal, the intensification of partisan polarization, and the rise of a populist right-wing political ideology, perhaps best exemplified by the election of Donald Trump. We build Gramling and Freudenberg’s little-explored concept of “development channelization” to argue that nostalgic right-wing populism, grievances directed toward the federal government, and partisanship converge to potentially thwart efforts to transition and diversify rural economies. Populist nostalgia and blame are associated with support for expanding the collapsing coal industry but do not predict support for other types of development. There are patterns of partisan polarization in support for extractive industries and wind power, but many development options appear to be relatively nonpartisan. We discuss these findings in terms of populism, nostalgia, partisan polarization, and the potential for rural renewal in the United States.

scholarly journals Diverse local epidemics reveal the distinct effects of population density, demographics, climate, depletion of susceptibles, and intervention in the first wave of COVID-19 in the United States

2020 ◽  
Author(s):  
Niayesh Afshordi ◽  
Benjamin Holder ◽  
Mohammad Bahrami ◽  
Daniel Lichtblau
Keyword(s):  
United States ◽  
Population Density ◽  
The United States ◽  
Effective Response ◽  
Susceptible Population ◽  
Local Climate ◽  
Climate Conditions ◽  
Mortality And Morbidity ◽  
Social Distancing ◽  
The Impact

The SARS-CoV-2 pandemic has caused significant mortality and morbidity worldwide, sparing almost no community. As the disease will likely remain a threat for years to come, an understanding of the precise influences of human demographics and settlement, as well as the dynamic factors of climate, susceptible depletion, and intervention, on the spread of localized epidemics will be vital for mounting an effective response. We consider the entire set of local epidemics in the United States; a broad selection of demographic, population density, and climate factors; and local mobility data, tracking social distancing interventions, to determine the key factors driving the spread and containment of the virus. Assuming first a linear model for the rate of exponential growth (or decay) in cases/mortality, we find that population-weighted density, humidity, and median age dominate the dynamics of growth and decline, once interventions are accounted for. A focus on distinct metropolitan areas suggests that some locales benefited from the timing of a nearly simultaneous nationwide shutdown, and/or the regional climate conditions in mid-March; while others suffered significant outbreaks prior to intervention. Using a first-principles model of the infection spread, we then develop predictions for the impact of the relaxation of social distancing and local climate conditions. A few regions, where a significant fraction of the population was infected, show evidence that the epidemic has partially resolved via depletion of the susceptible population (i.e., “herd immunity”), while most regions in the United States remain overwhelmingly susceptible. These results will be important for optimal management of intervention strategies, which can be facilitated using our online dashboard.

scholarly journals Governance and decentralized energy transitions: a comparative case study of three medium-sized cities in Sweden, Canada, and the United States.

2020 ◽  
Vol 4 (1) ◽  
pp. 71-106
Author(s):  
Martin Boucher
Keyword(s):  
United States ◽  
Energy System ◽  
The United States ◽  
Comparative Case Study ◽  
Energy Transitions ◽  
Contextual Understanding ◽  
Energy Projects ◽  
Decentralized Energy ◽  
The Impact

 Aim: This study examines the impact of governance on decentralized energy transitions. Knowledge of how particular jurisdictions and their governance arrangements influence these transitions can help strengthen and contextualize divergent trajectories of decentralized energy transitions and—most importantly—reveal the role of geographical context in policy change. Design: This research gap is addressed in this paper by comparing the uptake of decentralized energy transitions in three cities in three different countries—Luleå (Sweden), Saskatoon (Canada), and Anchorage (United States). The jurisdictions in each city has unique governance contexts pertaining to electric utilities, regulations, public policy, and public acceptance.  By comparing these transitions, this study highlights the governance considerations for decentralized energy transitions and asks how does governance impact decentralized energy transitions in cities? To answer this question, actors within various public, private, and sectoral capacities were interviewed to provide their insights on decentralized energy transitions in each jurisdiction. Conclusion: I present five governance dimensions that impact decentralized energy transitions and explain how these factors can be included to provide a more contextual understanding of patterns of decentralized energy transitions in cities.  Originality: Much of the literature on decentralized energy and cities has focused on project and sectoral level analysis and hasn’t considered the holistic nature of the energy system transition. A particular gap that would help inform a broader understanding is the jurisdictional governance impacts of decentralization energy transitions. Implications of the Research: In practical terms, the results could be used to inform inter-jurisdictional comparisons of decentralization energy projects. Limitations of the Research: Given that there were three case studies, it is not possible to make generalizable claims from the results.  

scholarly journals LINKING THE LOCAL CLIMATE ZONES AND LAND SURFACE TEMPERATURE TO INVESTIGATE THE SURFACE URBAN HEAT ISLAND, A CASE STUDY OF SAN ANTONIO, TEXAS, U.S.

2018 ◽  
Vol IV-3 ◽  
pp. 277-283 ◽  
Author(s):  
Chunhong Zhao
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface Temperature ◽  
Land Surface ◽  
San Antonio ◽  
Heat Island ◽  
Climate Zones ◽  
Local Climate ◽  
Local Climate Zones ◽  
Urban Heat

The Local Climate Zones (LCZs) concept was initiated in 2012 to improve the documentation of Urban Heat Island (UHI) observations. Despite the indispensable role and initial aim of LCZs concept in metadata reporting for atmospheric UHI research, its role in surface UHI investigation also needs to be emphasized. This study incorporated LCZs concept to study surface UHI effect for San Antonio, Texas. LCZ map was developed by a GIS-based LCZs classification scheme with the aid of airborne Lidar dataset and other freely available GIS data. Then, the summer LST was calculated based Landsat imagery, which was used to analyse the relations between LST and LCZs and the statistical significance of the differences of LST among the typical LCZs, in order to test if LCZs are able to efficiently facilitate SUHI investigation. The linkage of LCZs and land surface temperature (LST) indicated that the LCZs mapping can be used to compare and investigate the SUHI. Most of the pairs of LCZs illustrated significant differences in average LSTs with considerable significance. The intra-urban temperature comparison among different urban classes contributes to investigate the influence of heterogeneous urban morphology on local climate formation.

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