Airline Effective Direct Greenhouse Gases Emissions Strategies

This chapter reports the effective direct GHG emissions strategies. To achieve this aim, the flight and the ground support practices of 22 airlines from five regions were investigated. The data used in this chapter was secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. The chapter reported eight effective flight operations strategic patterns and two effective ground operations strategic patterns. The strategic patterns of flight operations were two design+ patterns, three rout+ patterns, two operating+ patterns, and one fuel pattern. However, the effective ground operations strategies were two design+ patterns. This chapter helps decision makers and academics alike, since the impact of each action on reducing the direct GHG emissions was reported.

This chapter reports the effective indirect GHG2 emissions strategies. To achieve this aim, the practices of 18 airlines from five regions were investigated. The data used in this chapter was the secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. This chapter reported eight effective strategic patterns. The strategic patterns were four energy saving+ patterns, two sustainable energy+ patterns, one replacing facilities pattern, and one accreditation+ pattern. This chapter helps decision makers and academics alike, since the impact of effective actions on reducing the indirect GHG2 emissions of each pattern were reported.


This chapter reports the effective noise management strategies of the airlines. To achieve this aim, the practices of 18 airlines from five regions were investigated. The data used in this chapter was secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. The chapter reported 17 effective strategic patterns. The strategic patterns were seven hybrid patterns, four conformance with ICAO standards patterns, two flights operating patterns, one conformance with FAA standards pattern, and three aircraft design patterns. This chapter helps the decision makers and the academics alike.


This chapter reports the effective wastes management strategies. To achieve this aim, the waste management practices of 14 airlines from four regions were investigated. The data used in this chapter was a secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. The chapter reported four on-board and ground strategy patterns and three hybrid patterns. Hybrid strategy patterns were better ranked than the most of on-board and ground strategy patterns. This chapter helps the decision makers and the academics alike, since the impact of each action under each action category of each pattern on wastes reduction was reported.


This chapter reports the effective water consumption strategies. To achieve this aim, the water saving practices of 14 airlines from four regions were investigated. The data used in this chapter was a secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. This chapter reported five effective strategic patterns. The strategic patterns were two facilities and buildings water saving, one facilities and buildings water recycling and recovery pattern, and two hybrid strategic patterns. This chapter helps the decision makers and the academics alike, since the impact of each action on reducing the water consumption under each action category of each pattern was reported.


2013 ◽  
Vol 12 (1) ◽  
pp. 03
Author(s):  
R. E. Silva ◽  
P. Magalhães Sobrinho

This paper presents a case study on the impact of the use of natural gas cogeneration plants in industrial facilities from food companies established in the State of São Paulo, aiming at the financial and greenhouse gases emissions (GHG) analysis. It is proposed a comparison between two different energy supply models for two manufacturing plants, the first one based on electricity supply from local grid and steam from natural gas fired steam generators, and a second model that considers the industries energy needs being partially supplied through natural gas cogeneration plants which are installed in each one of the companies. This study indicates the differences of the financial results for supplying electricity and steam in both models proposed, describing the main variations and the reasons for those, besides identifying the main current tariff benefits in the legislation for the different classes of power plants and Energy Market. The summarized greenhouse gases inventory is presented for both industries as well, and a later assessment of environmental impact from the studied cogeneration plants in the overall GHG emissions in the two proposed scenarios is done. Finally, it is presented the relation analysis between electricity and steam supplying costs if compared with the greenhouse gases emissions levels for both proposed scenarios, and how public policies can act in order to guide emissions decreasing, since São Paulo State has promulgated a law in which establishes a major GHG emissions reduction to 2020.


2021 ◽  
Vol 11 ◽  
Author(s):  
Juri Fuchs ◽  
Anastasia Murtha-Lemekhova ◽  
Markus Kessler ◽  
Patrick Günther ◽  
Alexander Fichtner ◽  
...  

BackgroundThe biliary tree is a rare location of pediatric rhabdomyosarcoma. Due to the low incidence, there is a lack of evidence concerning therapeutic guidelines for this tumor location. In particular, the impact of surgery is discussed controversially.PurposeObjective is to generate evidence-based treatment guidelines for pediatric biliary rhabdomyosarcoma (BRMS). All available published data on therapeutic regimens and important prognostic factors are investigated with a focus on the role of surgery.MethodsA systematic literature search of MEDLINE, Web of Science, and CENTRAL was performed. Patient data were entered individually. Data was pooled and qualitative and quantitative analyses of demographic data, therapy, postoperative/interventional outcomes, relapse, and survival were conducted. In an individual patient data analysis, cox regression was applied to identify key factors predicting the outcome of patients with BRMS.Results65 studies met the inclusion criteria, providing data on 176 patients with BRMS. Individual patient data analysis showed a 5-year overall survival and progression-free survival of 51% and 50% for the total study population. For patients treated after 2000, 5-year OS and PFS was 65% and 59%, respectively. Absence of surgical tumor resection was an independent risk factor for death (Hazard ratio 8.9, 95%-CI 1.8-43.6, p = 0.007) and significantly associated with recurrent disease and disease-related death.ConclusionThis analysis provides comprehensive information on the largest number of patients hitherto reported in the literature. BRMS is still associated with high morbidity and mortality. Surgical tumor resection is essential for appropriate oncological treatment of BRMS. International cooperation studies are needed to enhance evidence and improve the outcome of this orphan disease.Protocol RegistrationPROSPERO (CRD42021228911) https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021228911.


This chapter reports the effective green operations strategy patterns. To achieve this aim, the green operations strategy patterns of 23 airlines from five regions were investigated. This chapter depended on the results of previous chapters. Accordingly, the reported effective green operations strategy under each indicator was used to report the effective green operations strategy patterns. The special tailored data analysis techniques were used for this purpose. The chapter reported eight effective strategy patterns, the strategy patterns were water management, waste management+, GHG and noise management, GHG emissions, GHG waste and noise, GHG and water management+, do all and noise management. This chapter helps the decision makers and the academics alike since all effective patterns were identified.


Author(s):  
Siti Mariana Ulfa

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 


Author(s):  
Tran Thanh Luong ◽  
Le My Canh

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.


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