Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy

Sofia, Daniele; Gioiella, Filomena; Lotrecchiano, Nicoletta; Giuliano, Aristide

doi:10.1016/j.enpol.2019.111137

Cited by 59 publications

(31 citation statements)

References 35 publications

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“…A first order of magnitude estimate of the flow rate, to be used as a first guess for the subsequent steps was obtained by using Eq. (6). Afterwards, the best fitting mass flow rate value was obtained by minimizing the discrepancy between the measured value at the monitoring station S1.…”

Section: Resultsmentioning

confidence: 99%

“…In case of everyday air monitoring, the immediate knowledge of pollution levels and their origins can lead to the definition of the most appropriate strategies for their reduction, with reference to mitigation strategies that involve the decarbonization of the energy sources. In fact, these latter combine the reduction of environmental pollution with social benefits [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pollution Dispersion from a Fire Using a Gaussian Plume Model

Lotrecchiano¹,

Sofia²,

Giuliano³

et al. 2020

IJSSE

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A deterministic approach was used in this work to assess the PM2.5 pollutant dispersion in the air during a fire event. The pollution data were recorded with high time resolution by a monitoring station located 4 km SouthWest from the fire. The pollutant emission due to the fire was described as an equivalent stack having the height of the observed cloud of generated smoke. The pollutant dispersion was modelled by means of a Gaussian plume dispersion model. To this purpose, the unknown equivalent emission mass flow rate at the stack in the model was found out using the available experimental data of PM2.5 measured on the ground far away, considering the changing of the air stability between nighttime and daytime and the variable wind direction. Model results highlighted that the predicted maximum pollutant concentration was larger of an order of magnitude than the data value recorded at the monitoring station and exceeded the law limit value. A sensitivity analysis on the wind speed and the atmospheric stability conditions was performed as well to identify the worst case scenarios in case of a fire event. The main conclusion is that a dense network of measurement stations with high time resolution is necessary to properly monitor an area or to provide validation data for any predicting dispersion model in case of a pollutant release.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pollution Dispersion from a Fire Using a Gaussian Plume Model

Lotrecchiano¹,

Sofia²,

Giuliano³

et al. 2020

IJSSE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The economic performances of three crops were calculated by the cost-benefit method [35]. Cost-benefit is a systematic economic approach to determine if an investment or decision is financially reasonable [35].…”

Section: Economic Assessmentmentioning

confidence: 99%

Evaluation of Sustainability of Irrigated Crops in Arid Regions, China

Fan

Zhang

et al. 2021

Sustainability

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Ensuring national food security amidst ongoing economic development whilst both protecting the environment and reducing the dependence on fossil fuels are significant challenges for Chinese sustainable development. The main objectives of this study were to reveal irrigated crop (wheat, maize, and sunflower) performance in terms of energy, economic, and environmental aspects in China’s largest designed irrigation area, Hetao irrigation district (HID), and to evaluate agricultural suitability based on plant structure. An integrated indicator and comprehensively assessment method were used to evaluate the above objectives based on the results from in-person surveys. The results show that maize exhibits the best overall performance compared to two other major crops (wheat and sunflower), which supports the government policy of adjust and optimize the planting structure program (AOPST), an effective way to achieve the multiple-objectives for sustainable agricultural development. However, reducing fertilizer remains a more critical factor than AOPST. These study results provide useful guidance for policy-makers and relevant stake-holders both in a regional context for the HID and at the global agricultural governance and management level.

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“…Air quality monitoring and control are necessary to implement abatement strategies [8] and improve environmental consciousness in the community. Traditional methods, such as monitoring stations represented by public networks, are precise but expensive and bulky and, for these reasons, do not have a high space-time resolution.…”

Section: Introductionmentioning

confidence: 99%

Novel Air Pollution Measurement System Based on Ethereum Blockchain

Sofia

Lotrecchiano

Giuliano

et al. 2020

JSAN

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The need to protect sensitive data is growing, and environmental data are now considered sensitive. The application of last-generation procedures such as blockchains coupled with the implementation of new air quality monitoring technology allows the data protection and validation. In this work, the use of a blockchain applied to air pollution data is proposed. A blockchain procedure has been designed and tested. An Internet of Things (IoT)-based sensor network provides air quality data in terms of particulate matter of two different diameters, particulate matter (PM)10 and PM2.5, volatile organic compounds (VOC), and nitrogen dioxide (NO2) concentrations. The dataset also includes meteorological parameters and vehicular traffic information. This work foresees that the data, recovered from traditional Not Structured Query Language (NoSQL) database, and organized according to some specifications, are sent to the Ethereum blockchain daily automatically and with the possibility to choose the period of interest manually. There was also the development of a transaction management and recovery system aimed at retrieving data, formatting it according to the specifications and organizing it into files of various formats. The blockchain procedure has therefore been used to track data provided by air quality monitoring networks unequivocally.

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Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy

Cited by 59 publications

References 35 publications

Pollution Dispersion from a Fire Using a Gaussian Plume Model

Pollution Dispersion from a Fire Using a Gaussian Plume Model

Evaluation of Sustainability of Irrigated Crops in Arid Regions, China

Novel Air Pollution Measurement System Based on Ethereum Blockchain

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