Data fusion analysis applied to different climate change models: An application to the energy consumptions of a building office

2019 ◽  
Vol 196 ◽  
pp. 240-254 ◽  
Author(s):  
Francesco Guarino ◽  
Daniele Croce ◽  
Ilenia Tinnirello ◽  
Maurizio Cellura
Keyword(s):  
Climate Change ◽  
Data Fusion ◽  
Change Models ◽  
Energy Consumptions ◽  
Fusion Analysis

Data Fusion Analysis For Test Validation System

2009 ◽  
Author(s):  
Mark H. Hammond ◽  
Christian Minor ◽  
Susan Rose-Pehrsson
Keyword(s):  
Data Fusion ◽  
Test Validation ◽  
Fusion Analysis

scholarly journals Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2455
Author(s):  
Antonín Lupíšek ◽  
Tomáš Trubačík ◽  
Petr Holub
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Climate Change Mitigation ◽  
Emission Factors ◽  
Anthropogenic Sources ◽  
Building Stock ◽  
National Debate ◽  
Energy Consumptions ◽  
Change Mitigation

One of the major anthropogenic sources of greenhouse gases is the operation of building stock. Improving its energy efficiency has the potential to significantly contribute to achieving climate change mitigation targets. The purpose of this study was to roughly estimate such potential for the operation of the national building stock of Czechia to steer the national debate on the development of related national plans. The estimation is based on a simplified energy model of the Czech building stock that consists of sub-models of residential and nonresidential building stocks, for which their future energy consumptions, shares of energy carriers and sources, and emission factors were modeled in four scenarios. Uncertainties from the approximation of the emission factors were investigated in a sensitivity analysis. The results showed that the operation of the Czech building stock in 2016 totaled 36.9 Mt CO2, which represented 34.6% of the total national carbon dioxide emissions. The four building stock scenarios could produce reductions in the carbon dioxide emissions of between 28% and 93% by 2050, when also considering on-side production from photovoltaics. The implementation of the most ambitious scenario would represent a drop in national CO2 yearly emissions by 43.2% by 2050 (compared to 2016).

scholarly journals Phenological Analysis of Sub-Alpine Forest on Jeju Island, South Korea, Using Data Fusion of Landsat and MODIS Products

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 286
Author(s):  
Sang-Jin Park ◽  
Seung-Gyu Jeong ◽  
Yong Park ◽  
Sang-hyuk Kim ◽  
Dong-kun Lee ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Data Fusion ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Fusion Model ◽  
Fusion Algorithm ◽  
Study Region ◽  
Modis Imagery ◽  
Increasing Temperature

Climate change poses a disproportionate risk to alpine ecosystems. Effective monitoring of forest phenological responses to climate change is critical for predicting and managing threats to alpine populations. Remote sensing can be used to monitor forest communities in dynamic landscapes for responses to climate change at the species level. Spatiotemporal fusion technology using remote sensing images is an effective way of detecting gradual phenological changes over time and seasonal responses to climate change. The spatial and temporal adaptive reflectance fusion model (STARFM) is a widely used data fusion algorithm for Landsat and MODIS imagery. This study aims to identify forest phenological characteristics and changes at the species–community level by fusing spatiotemporal data from Landsat and MODIS imagery. We fused 18 images from March to November for 2000, 2010, and 2019. (The resulting STARFM-fused images exhibited accuracies of RMSE = 0.0402 and R2 = 0.795. We found that the normalized difference vegetation index (NDVI) value increased with time, which suggests that increasing temperature due to climate change has affected the start of the growth season in the study region. From this study, we found that increasing temperature affects the phenology of these regions, and forest management strategies like monitoring phenology using remote sensing technique should evaluate the effects of climate change.

scholarly journals Metabolic phenotype-microRNA data fusion analysis of the systemic consequences of Roux-en-Y gastric bypass surgery

2015 ◽  
Vol 39 (7) ◽  
pp. 1126-1134 ◽  
Author(s):  
Q Wu ◽  
J V Li ◽  
F Seyfried ◽  
C W le Roux ◽  
H Ashrafian ◽  
...  
Keyword(s):  
Gastric Bypass ◽  
Data Fusion ◽  
Bypass Surgery ◽  
Gastric Bypass Surgery ◽  
Metabolic Phenotype ◽  
Fusion Analysis

scholarly journals CLIMATE CHANGE IMPACT ON MOUNTAIN BIODIVERSITY: A SPECIAL REFERENCE TO GILGIT-BALTISTAN OF PAKISTAN

2016 ◽  
Vol 1 ◽  
pp. 53
Author(s):  
S. Ishaq ◽  
M. Z. Khan ◽  
F. Begum ◽  
K. Hussain ◽  
R. Amir ◽  
...  
Keyword(s):  
Climate Change ◽  
Natural Resources ◽  
Special Reference ◽  
Current Knowledge ◽  
Knowledge Gap ◽  
Change Models ◽  
Impact Of Climate Change ◽  
The Government ◽  
Gilgit Baltistan ◽  
The Impact

Climate Change is not a stationary phenomenon; it moves from time to time, it represents a major threat to mountainous biodiversity and to ecosystem integrity. The present study is an attempt to identify the current knowledge gap and the effects of climate change on mountainous biodiversity, a special reference to the Gilgit-Baltistan is briefly reviewed. Measuring the impact of climate change on mountain biodiversity is quite challenging, because climate change interacts with every phenomenon of ecosystem. The scale of this change is so large and very adverse so strongly connected to ecosystem services, and all communities who use natural resources. This study aims to provide the evidences on the basis of previous literature, in particular context to mountain biodiversity of Gilgit-Baltistan (GB). Mountains of Gilgit-Baltistan have most fragile ecosystem and are more vulnerable to climate change. These mountains host variety of wild fauna and flora, with many endangered species of the world. There are still many gaps in our knowledge of literature we studied because very little research has been conducted in Gilgit-Baltistan about climate change particular to biodiversity. Recommendations are made for increased research efforts in future this including jointly monitoring programs, climate change models and ecological research. Understanding the impact of climate change particular to biodiversity of GB is very important for sustainable management of these natural resources. The Government organizations, NGOs and the research agencies must fill the knowledge gap, so that it will help them for policy making, which will be based on scientific findings and research based.

scholarly journals Impacts of climate warming on forests in Ontario: Options for adaptation and mitigation

2000 ◽  
Vol 76 (1) ◽  
pp. 139-149 ◽  
Author(s):  
C. S. Papadopol
Keyword(s):  
Climate Change ◽  
Climate Warming ◽  
Temperature Increase ◽  
Forest Ecosystems ◽  
Current Knowledge ◽  
Risk Environment ◽  
International Consensus ◽  
Change Models ◽  
Wide Range ◽  
Key Words Climate Change

This paper summarizes current knowledge about the optical properties of greenhouse gases and general climate-warming influences. It explains the influence of this new phenomenon on the major ecosystems of the world, and considers the process of deforestation. It then analyzes the warming trends in Ontario based on data from two weather stations with continuous records of more than 120 years, to determine the rate of warming in the Great Lakes-St. Lawrence Region. The results indicate a temperature increase of about 0.76 °C per century and an 8% increase in annual total precipitation.Current climate change models indicate that for a scenario of 2 × CO2 levels some general, probable prognoses can be made, including a temperature increase of up to 4.5 °C, which might be disastrous for existing forest ecosystems. Specifically, the consequences of climate warming on (a) northward shifts of ecological conditions, (b) forest productivity, and (c) forest physiology and health, are examined. In the context of global warming, the paper then recommends practical management measures necessary to ensure adaptation of existing forest ecosystems to the warming that is already developing. These measures are intended to provide a no-risk environment for existing forests until rotation age. Next, a wide range of mitigative measures is examined with a view to securing the long-term preservation of forest ecosystems to avoid major ecological disruptions and, gradually, to reverse climate warming. Application of these measures requires international consensus, but countries that apply these recommendations first have a chance to profit from them due to the "CO2 fertilization" effect. Key words: climate change, silviculture, forest management

CLIMATE-CHANGE STUDIES IN THE MAYA AREA

2002 ◽  
Vol 13 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Joel D. Gunn ◽  
Ray T. Matheny ◽  
William J. Folan
Keyword(s):  
Climate Change ◽  
Environmental Change ◽  
Annual Meeting ◽  
Maya Lowlands ◽  
Change Models ◽  
Modern Times ◽  
The Past ◽  
Cultural Paradigms ◽  
Physical Forces ◽  
Maya Area

The series of papers on climate change published in this issue are the result of the symposium “Environmental Change in Mesoamerica: Physical Forces and Cultural Paradigms in the Preclassic to Postclassic,” held at the 63rd Annual Meeting of the Society for American Archaeology in March 2000 in Philadelphia. The authors bring their expertise in paleoclimatological studies to bear on the Maya Lowlands and Highlands from the beginning of the Holocene to the Postclassic and modern times. The studies reveal that climate has changed during the past 4,000 years to a considerable degree that correlates in a reasonable way with archaeological periodizations. Several climate-change models are presented as an effort to understand better past cultural and natural events.

scholarly journals Climate Change in Queensland's Grazing Lands: Ii. An Assessment of the Impact on Animal Production From Native Pastures.

1998 ◽  
Vol 20 (2) ◽  
pp. 177 ◽  
Author(s):  
WB Hall ◽  
GM Mckeon ◽  
JO Carter ◽  
KA Day ◽  
SM Howden ◽  
...  
Keyword(s):  
Climate Change ◽  
Carrying Capacity ◽  
Animal Production ◽  
Limiting Factors ◽  
Climate Change Scenarios ◽  
Stock Management ◽  
Grazing Land ◽  
Change Models ◽  
Native Pastures ◽  
The Impact

The 160 million ha of grazing land in Queensland support approximately 10 million beef equivalents (9.8 million cattle and 10.7 million sheep) with treed and cleared native pastures as the major forage source. The complexity of these biophysical systems and their interaction with pasture and stock management, economic and social forces limits our ability to easily calculate the impact of climate change scenarios. We report the application of a systems approach in simulating the flow of plant dry matter and utilisation of forage by animals. Our review of available models highlighted the lack of suitable mechanistic models and the potential role of simple empirical relationships of utilisation and animal production derived from climatic and soil indices. Plausible climate change scenarios were evaluated by using a factorial of rainfall (f 10%) * 3260C temperature increase * doubling CO, in sensitivity studies at property, regional and State scales. Simulation of beef cattle liveweight gain at three locations in the Queensland black speargrass zone showed that a *lo% change in rainfall was magnified to be a f 15% change in animal production (liveweight gain per ha) depending on location, temperature and CO, change. Models of 'safe' carrying capacity were developed from property data and expert opinion. Climate change impacts on 'safe' carrying capacity varied considerably across the State depending on whether moisture, temperature or nutrients were the limiting factors. Without the effect of doubling CO,, warmer temperatures and +lo% changes in rainfall resulted in -35 to +70% changes in 'safe' carrying capacity depending on location. With the effect of doubling CO, included, the changes in 'safe' carrying capacity ranged from -12 to +115% across scenarios and locations. When aggregated to a whole-of-State carrying capacity, the combined effects of warmer temperature, doubling CO, and +lo% changes in rainfall resulted in 'safe' carrying capacity changes of +3 to +45% depending on rainfall scenario and location. A major finding of the sensitivity study was the potential importance of doubling CO, in mitigating or amplifying the effects of warmer temperatures and changes in rainfall. Field studies on the impact of CO, are therefore a high research priority. Keywords: climate change, Queensland, simulation, rangelands, beef production, cattle, carrying capacity, CO,, utilisation

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