Greenhouse gas emissions from tourist activities in South Tyrol

2016 ◽  
Vol 22 (6) ◽  
pp. 1301-1314 ◽  
Author(s):  
Mattia Cai

Tourism is a non-negligible source of greenhouse gas (GHG) emissions. Using South Tyrol (ST) – a small region with a tourism-intensive economy situated in the North of Italy – as a case study, this article discusses a multiregional input–output (MRIO) framework for calculating the direct and indirect emissions embodied in tourist consumption of goods and services at a subnational level. Compared to more standard single-region implementations of the input–output approach, MRIO analysis offers a more accurate depiction of the amount of emissions, that is, embodied in imports, because it acknowledges that in the modern economy supply chains often stretch across multiple borders and that the carbon intensity of production can vary widely from one location to another. Operationalizing the framework has become relatively straightforward since a number of new global MRIO databases have become available in recent years. Furthermore, the analysis could easily be extended to other environmental externalities of tourism, where the model’s capability to explicitly account for spatial spillovers might also be of interest. The modelling exercise at the heart of the article suggests that, over the course of 2010, the process of producing the goods and services consumed by tourists in ST resulted in 1092 kt CO2e of GHGs being emitted into the atmosphere. This is equivalent to average emissions of 191 kg CO2e per overnight visitor, 38 kg CO2e per night or 0.316 kg per euro of tourist expenditure. Direct emissions account for about one-fourth of the total. Almost four-fifths of total emissions appear to be the result of productive activities sited outside ST itself.

2014 ◽  
Vol 41 (4) ◽  
pp. 285-293 ◽  
Author(s):  
Eugene A. Mohareb ◽  
Adrian K. Mohareb

One of the most significant sources of greenhouse gas (GHG) emissions in Canada is the buildings sector, with over 30% of national energy end-use occurring in buildings. Energy use must be addressed to reduce emissions from the buildings sector, as nearly 70% of all Canada’s energy used in the residential sector comes from fossil sources. An analysis of GHG emissions from the existing residential building stock for the year 2010 has been conducted for six Canadian cities with different climates and development histories: Vancouver, Edmonton, Winnipeg, Toronto, Montreal, and Halifax. Variation across these cities is seen in their 2010 GHG emissions, due to climate, characteristics of the building stock, and energy conversion technologies, with Halifax having the highest per capita emissions at 5.55 tCO2e/capita and Montreal having the lowest at 0.32 tCO2e/capita. The importance of the provincial electricity grid’s carbon intensity is emphasized, along with era of construction, occupancy, floor area, and climate. Approaches to achieving deep emissions reductions include innovative retrofit financing and city level residential energy conservation by-laws; each region should seek location-appropriate measures to reduce energy demand within its residential housing stock, as well as associated GHG emissions.


2021 ◽  
Vol 26 (4) ◽  
pp. 40-46
Author(s):  
MSHELIA RICHARD BALTHI

Greenhouse gas (GHG) emissions due to solid waste management (SWM) techniques being practiced in the North eastern region of Nigeria are unaccounted for as such these emissions cannot be monitored or controlled. This research estimated GHG emissions into the atmosphere from the current SWM technique practiced in the region, GHG emissions from two different waste management techniques – open burning and incineration was also simulated. The research found that incineration with electricity recovery is the most suitable SWM process therefore suggested that the authorities and other stakeholders in the region should give it serious consideration.


2018 ◽  
Author(s):  
Angel D. Ramirez ◽  
Danilo Arcentales ◽  
Andrea Boero

Climate change is a serious threat to sustainability. Anthropogenic climate change is due to the accumulation of greenhouse gases (GHG) in the atmosphere beyond natural levels. Anthropogenic GHG emissions are mostly associated with carbon-dioxide (CO2) originated in the combustion of fossil fuels used for heat, power, and transportation. Globally, transportation contributes to 14% of the global GHG emissions. The transport sector is one of the main contributors to the greenhouse gas emissions of Ecuador. In Guayaquil, the road mass transportation system comprises regular buses and the bus rapid transit (BRT) system. Electricity in Ecuador is mostly derived from hydropower, hence incurs relatively low GHG emissions along its life cycle. Therefore, electrification of transport has been seen as an opportunity for mitigation of GHG emissions. In this study, the effect of partial replacement of the bus rapid system fleet is investigated. Feeders have been chosen as the replacement target in five different scenarios. GHG emissions from diesel-based feeders have been calculated using the GREET Fleet Footprint Calculator tool. The GHG emissions associated with the electricity used for transportation is calculated using the life cycle inventory of the electricity generation system of Ecuador. Three energy mix scenarios are used for this purpose. The 2012 mix which had 61% hydropower; the mix of 85% hydropower and the marginal electricity scenario, which supposed the extreme case when the new demand for electricity occurs during peak demand periods. Results indicate that mitigation of GHG emissions is possible for almost all scenarios of percentage fleet replacement and all mix scenarios. Electric buses efficiency and the carbon intensity of the electricity mix are critical for GHG mitigation.


2019 ◽  
Vol 11 (14) ◽  
pp. 3941 ◽  
Author(s):  
Xueyan Zhang

The increase of agricultural greenhouse gas (GHG) emissions has become a significant issue for China, affecting the achievement of its Nationally Determined Contributions under the Paris Agreement. Expansion of the large-scale multiple cropping system as a consequence of climate warming could be a major driving force of this increase. In this study, life cycle assessment was employed to identify agricultural GHG emissions due to the expansion of the multiple cropping system in the North China Plain and neighboring regions. We found that agricultural greenhouse gas emissions have increased from 41.34 to 120.87 Tg CO2-eq/yr over the past 30 years, and the expansion of the multiple cropping system has contributed to 13.89% of this increment. Furthermore, the increases in straw handling and agricultural inputs which are related to multiple cropping systems have also played an important role. Results of our study demonstrate that the expansion of the multiple cropping system contributes considerably to increases in agricultural GHG emissions in the North China Plain and neighboring regions. Therefore, it can be concluded that the sustained northward expansion of the multiple cropping system will further elevate agricultural GHG emissions in China, and this should be considered while formulating policies to reduce GHG emissions from agriculture.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liantao Hou ◽  
Yinsheng Yang ◽  
Xiaoyi Zhang ◽  
Chunming Jiang

Purpose The relationship between farm size and greenhouse gas (GHG) emissions has not been clearly defined. This paper aims to assess and compare the impact of farm size on greenhouse gas (GHG) emissions derived from wheat and maize production in the North China Plain (NCP), one of the most important agricultural regions in China. Design/methodology/approach A field survey through face-to-face interviews was conducted to collect the primary data, and life cycle assessment method, a worldwide comparable framework, was then adopted to characterize the farm-size effect on greenhouse gas (GHG) wheat and maize production in NCP. Findings It was confirmed that GHG emissions from N fertilizer production and use were the primary contributor to total carbon footprint (CF). As farm size increased, maize yield increased but wheat yield barely changed, while area-scaled and yield-scaled CF declined for both crops. These results were supposed to relate to utilize the inputs more efficiently resulting from increased application of modern agriculture methods on larger operations. It was also found maize not only had higher grain yields, but possessed much smaller CFs. More notably, the reduction of CF with farm size seemed to be more sensitive for maize as compared to wheat. To further mitigate GHG emissions, farm size should better be larger for wheat than for maize. Originality/value This study provides useful information guide for Chinese agriculture in increasing crop production, raising farm income and relieving environmental burdens caused by the misuse of agricultural resources.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Rafael M. Almeida ◽  
Qinru Shi ◽  
Jonathan M. Gomes-Selman ◽  
Xiaojian Wu ◽  
Yexiang Xue ◽  
...  

Abstract Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO2eq MWh−1, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO2eq MWh−1) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.


2019 ◽  
Vol 11 (22) ◽  
pp. 6346
Author(s):  
Reham Alhindawi ◽  
Yousef Abu Nahleh ◽  
Arun Kumar ◽  
Nirajan Shiwakoti

In the past, different forecasting models have been proposed to predict greenhouse gas (GHG) emissions. However, most of these models are unable to handle non-linear data. One of the most widely known techniques, the Adaptive Neuro-fuzzy inference system (ANFIS), can deal with nonlinear data. Its ability to predict GHG emissions from road transportation is still unexplored. This study aims to fulfil that gap by adapting the ANFIS model to predict GHG emissions from road transportation by using the ratio between vehicle-kilometers and number of transportation vehicles for six transportation modes (passenger cars, motorcycle, light trucks, single-unit trucks, tractors, and buses) from the North American Transportation Statistics (NATS) online database over a period of 22 years. The results show that ANFIS is a suitable method to forecast GHG emissions from the road transportation sector.


2020 ◽  
Vol 12 (3) ◽  
pp. 1012 ◽  
Author(s):  
Mariano González-Sánchez ◽  
Juan Luis Martín-Ortega

Understanding the underlying reasons for greenhouse gas (GHG) emissions trends in different countries is fundamental for climate change mitigation. This paper identifies the main determinants that affect GHG emissions growth and assesses their impact and differences among countries in Europe. Previous studies have produced inconclusive results and presented several limitations, such as the lack of quality of the data used, the reduced identification of determinants and the use of methods that did not enable hypothesis testing. Conversely, this research identifies an extended list of determinants of GHG emissions, performs an in-depth statistical analysis and contrasts the significance of determinants using panel data and multiple linear regression models for the period 1990–2017 for the main Eurozone countries. The study found that GDP and final energy intensity are the main drivers for the reduction of GHG emissions in Europe. Furthermore, energy prices are not significant and heterogeneous results are found for the renewable energy, fuel mix and carbon intensity determinants, pointing to a different behavior at the country level. The uneven impact of the main determinants of GHG emission growth suggest that a differentiated application of European policies at country level will enhance the efficiency of mitigation efforts in Europe.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2594
Author(s):  
Xu Hu ◽  
Jinwei Sun ◽  
Yisong Chen ◽  
Qiu Liu ◽  
Liang Gu

Recent research has investigated the energy saving potential of regenerative suspension. However, the greenhouse gas (GHG) emission mitigation potential of regenerative suspension in battery electric vehicles (BEVs) has not been considered. Life cycle assessment (LCA) is a typical method for evaluating GHG emissions but is rarely used in vehicle control design. Here we explore the effects of regenerative suspension on reducing the GHG emissions from a BEV, whose control design considers well-to-wheels (WTW) analysis. The work first conducts the WTW analysis and modelling of the GHG emissions from a BEV equipped with regenerative suspension. Based on the models, the relation between suspension control parameters and GHG emissions is obtained. To reach a compromise between dynamic performance and environmental benefit, two types of control parameters are recommended and their switch rules during the operation are proposed. Finally, we take a case study with different driving cycles, road levels and country contexts. The results show that considering WTW analysis in control design can contribute to GHG emission mitigation, especially for countries that have a high-carbon intensity of the electricity grid. These findings provide a quantitative reference for technology path decision on regenerative suspension. This paper may provide a new insight for employing LCA in vehicle design.


2016 ◽  
Vol 3 ◽  
pp. 229-291 ◽  
Author(s):  
Alan L. Titus ◽  
Jeffrey G. Eaton ◽  
Joseph Sertich

The Late Cretaceous succession of southern Utah was deposited in an active foreland basin circa 100 to 70 million years ago. Thick siliciclastic units represent a variety of marine, coastal, and alluvial plain environments, but are dominantly terrestrial, and also highly fossiliferous. Conditions for vertebrate fossil preservation appear to have optimized in alluvial plain settings more distant from the coast, and so in general the locus of good preservation of diverse assemblages shifts eastward through the Late Cretaceous. The Middle and Late Campanian record of the Paunsaugunt and Kaiparowits Plateau regions is especially good, exhibiting common soft tissue preservation, and comparable with that of the contemporaneous Judith River and Belly River Groups to the north. Collectively the Cenomanian through Campanian strata of southern Utah hold one of the most complete single region terrestrial vertebrate fossil records in the world.


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