scholarly journals Carbon footprint estimate in the primary wood processing industry in El Salto, Durango

2020 ◽  
Vol 27 (1) ◽  
pp. 127-142
Author(s):  
Pedro Meza-López ◽  
◽  
Mayra K. Trujillo-Delgado ◽  
Alan U. Burciaga-Álvarez ◽  
Ricardo de la Cruz-Carrera ◽  
...  
Keyword(s):  
Carbon Footprint ◽  
Ghg Emissions ◽  
Electricity Consumption ◽  
Wilcoxon Test ◽  
Organizational Boundaries ◽  
Activity Data ◽  
Processing Industry ◽  
Wood Processing ◽  
The Difference ◽  
L1 And L2

Introduction: The primary wood processing industry releases greenhouse gases (GHGs); their mitigation involves measuring the carbon footprint.Objective: To estimate the carbon footprint of two forestry companies dedicated to the primary transformation of wood.Materials and methods: Companies established as organizational boundaries L1 and L2 have two (Q1 and Q2) and one (D) sawmill, respectively. The operational limits were A1 (direct emissions from fossil fuel consumption), A2 (indirect emissions from electricity consumption) and A3 (emission sources not owned by L1 and L2). GHG emissions were calculated in two annuities with the method of using documented activity data and emission factors level 1. The annuities were compared with the Student’ t-test and Wilcoxon test, and the sawmills with the Kruskal-Wallis test.Results and discussion: The estimated carbon footprint for L1 was 480.06 tCO2e·year-1, where A1, A2 and A3 represented 29.32 %, 14.59 % and 56.09 %, respectively. L2 had a footprint of 230.56 tCO2e·year-1 of which 9.39 %, 11.78 % and 78.83 % corresponded to the categories A1, A2 and A3, respectively. The cumulative uncertainty was within a fair range of accuracy (±25 %). Only the direct GHG emissions between L1 annuities were statistically different (P < 0.05). Mechanical technology made the difference in GHG emissions among sawmills (P < 0.05).Conclusions: The carbon footprint is inherent to the energy used; energy management ensures the mitigation of GHG emissions.

scholarly journals Forecasted planning of electricity consumption by energy intensive industry wood processing industry using neuro-fuzzy networks

10.12737/6309 ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 290-302
Author(s):  
Крысанов ◽  
V. Krysanov ◽  
Данилов ◽  
Aleksandr Danilov ◽  
Афоничев ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Electricity Consumption ◽  
Processing Industry ◽  
Wood Processing ◽  
Holding Company ◽  
Neuro Fuzzy ◽  
Territorial Organization ◽  
System Functioning ◽  
Forward Looking

The structure of the planning of electricity con-sumption used in the largest Russian furniture Holding Company &#34;Furniture Chernozemye&#34;, with further transfer of data to the territorial organization of the network. A mathematical model is made. The advantages and disadvan-tages of this approach are analyzed. The appli-cation of neuro-fuzzy networks to increase the accuracy of forward-looking planning is justified. The model and algorithm of the system functioning of forecast planning of electricity consumption of HC «Furniture Chernozemye» on the basis of fuzzy neurocontroller.

scholarly journals Greenhouse gas emissions and mitigation potential of hybrid maize seed production in northwestern China

2021 ◽  
Author(s):  
Dan Liu ◽  
Wushuai Zhang ◽  
Xiaozhong Wang ◽  
Yanjun Guo ◽  
Xinping Chen
Keyword(s):  
Greenhouse Gas ◽  
Seed Production ◽  
Carbon Footprint ◽  
Ghg Emissions ◽  
Electricity Consumption ◽  
Northwest China ◽  
Mitigation Measures ◽  
Maize Seed ◽  
Quantitative Evidence ◽  
Hybrid Maize

Abstract Although hybrid maize seed production is one of the most important agriculture systems worldwide, its greenhouse gas (GHG) emissions and potential mitigation measures have not been studied. In this study, we used life cycle assessment (LCA) to quantify the GHG emissions of 150 farmers run by 6 companies in an area of northwest China known for hybrid maize seed production. The results indicated that the average reactive nitrogen (Nr) losses and GHG emissions from hybrid maize seed production were 53 kg N ha− 1 and 8077 kg CO2 eq ha− 1, respectively, which are higher than those of the conventional maize production system. Furthermore, the average nitrogen and carbon footprints of the process were 12.2 kg N Mg− 1 and 1495 kg CO2 eq Mg− 1, respectively. Nitrogen fertilizer and electricity consumption for irrigation were the main contributors to high GHG emissions, accounting for 60% and 30% of the total, respectively. The GHG emissions from seed production for different companies varied greatly with their resource input. There was also a large variation in environmental burdens among the 150 farmers. Based on an analysis of the yield group, we found that the carbon footprint of the first group (the one with the highest yield) was 27% lower than the overall average. Scenario analysis suggests that a combined reduction of N input rate, optimizing irrigation, and increasing yield can eventually mitigate the carbon footprint of hybrid maize seed production by 37%. An integrated systematic approach (e.g., ISSM: integrated soil-crop system management) can reduce the GHG emissions involved in producing hybrid maize seeds. This study provides quantitative evidence and a potential strategy for GHG emissions reduction of hybrid maize seed production.

Comparative study of greenhouse gas emissions between national government and local governments in Korea

2020 ◽  
Vol 31 (8) ◽  
pp. 1403-1415
Author(s):  
Eun-Mi Been ◽  
Young-Kwon Park ◽  
Kyung-Tae Kim
Keyword(s):  
Greenhouse Gas ◽  
Local Governments ◽  
Statistical Data ◽  
Ghg Emissions ◽  
National Government ◽  
Activity Data ◽  
Ghg Reduction ◽  
Calculation Methodology ◽  
The Difference ◽  
State And Local

The purpose of this study is to calculate and analyze emissions using the uniformity of national and local emission calculation institutions, unification of calculation methods, and common statistical data. The Korea Environment Corporation has reported the greenhouse gas (GHG) emissions from local governments in Korea since 2015. On the other hand, the reliability of the emissions amount has been questioned because of the inconsistency of the figures between the national emissions calculated by the green in regulation and the total emissions of local governments. To validate the reliability of the emissions report, this study examined the causes of the differences between the national government and 17 local governments nationwide over a 10-year period from 2005 to 2014. The national GHG inventory was designed to make reporting at home and abroad, but the local GHG inventory was built to support the GHG reduction activities of local governments. The most important reason why the sum of state and local governments GHG emissions did not coincide was the difference in the guidelines applied to establish the calculation standard for the GHG inventory. Discrepancies in the calculation criteria were also shown to cause differences in the calculation methodology, range of calculation categories, emissions coefficients, and available activity data.

The Difference in Sensing Properties Towards Anions between Two Pyridinium Amide-Based Receptors with a Subtle Change of H-Bond Position

2020 ◽  
Vol 17 (6) ◽  
pp. 472-478
Author(s):  
Wei-tao Gong ◽  
Wei-dong Qu ◽  
Guiling Ning
Keyword(s):  
Fluorescence Enhancement ◽  
Small Difference ◽  
Fluorescence Emission ◽  
Subtle Change ◽  
Sensing Properties ◽  
Naked Eye ◽  
Recognition Ability ◽  
The Difference ◽  
L1 And L2

Two pyridinium amide-based receptors L1 and L2 with a small difference of H-bond position of the amide have been synthesized and characterized. Interestingly, they exhibited a huge difference in sensing towards AcO- and H2PO4 -, respectively. Receptor L1 was found to be ‘naked-eye’ selective for AcO- anions, while receptor L2 showed clear fluorescence enhancement selective to H2PO4 - anion. The recognition ability has been established by fluorescence emission, UV-vis spectra, and 1HNMR titration.

279 WACSAW: A Statistical and Individually Adaptive Method to Determine Sleep and Wakefulness from Activity

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A111-A112
Author(s):  
Austin Vandegriffe ◽  
V A Samaranayake ◽  
Matthew Thimgan
Keyword(s):  
Time Series ◽  
Optimal Transport ◽  
Activity Patterns ◽  
Adaptive Method ◽  
Wasserstein Distance ◽  
Activity Data ◽  
Commercial Grade ◽  
Movement Data ◽  
The Difference ◽  
Levene Test

Abstract Introduction Technological innovations have broadened the type and amount of activity data that can be captured in the home and under normal living conditions. Yet, converting naturalistic activity patterns into sleep and wakefulness states has remained a challenge. Despite the successes of current algorithms, they do not fill all actigraphy needs. We have developed a novel statistical approach to determine sleep and wakefulness times, called the Wasserstein Algorithm for Classifying Sleep and Wakefulness (WACSAW), and validated the algorithm in a small cohort of healthy participants. Methods WACSAW functional routines: 1) Conversion of the triaxial movement data into a univariate time series; 2) Construction of a Wasserstein weighted sum (WSS) time series by measuring the Wasserstein distance between equidistant distributions of movement data before and after the time-point of interest; 3) Segmenting the time series by identifying changepoints based on the behavior of the WSS series; 4) Merging segments deemed similar by the Levene test; 5) Comparing segments by optimal transport methodology to determine the difference from a flat, invariant distribution at zero. The resulting histogram can be used to determine sleep and wakefulness parameters around a threshold determined for each individual based on histogram properties. To validate the algorithm, participants wore the GENEActiv and a commercial grade actigraphy watch for 48 hours. The accuracy of WACSAW was compared to a detailed activity log and benchmarked against the results of the output from commercial wrist actigraph. Results WACSAW performed with an average accuracy, sensitivity, and specificity of &gt;95% compared to detailed activity logs in 10 healthy-sleeping individuals of mixed sexes and ages. We then compared WACSAW’s performance against a common wrist-worn, commercial sleep monitor. WACSAW outperformed the commercial grade system in each participant compared to activity logs and the variability between subjects was cut substantially. Conclusion The performance of WACSAW demonstrates good results in a small test cohort. In addition, WACSAW is 1) open-source, 2) individually adaptive, 3) indicates individual reliability, 4) based on the activity data stream, and 5) requires little human intervention. WACSAW is worthy of validating against polysomnography and in patients with sleep disorders to determine its overall effectiveness. Support (if any):

scholarly journals Influence of the Water Source on the Carbon Footprint of Irrigated Agriculture: A Regional Study in South-Eastern Spain

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 351
Author(s):  
Bernardo Martin-Gorriz ◽  
Victoriano Martínez-Alvarez ◽  
José Francisco Maestre-Valero ◽  
Belén Gallego-Elvira
Keyword(s):  
Carbon Footprint ◽  
Carbon Balance ◽  
Ghg Emissions ◽  
Water Source ◽  
Policy Implications ◽  
Irrigated Agriculture ◽  
Regional Study ◽  
South Eastern ◽  
Hypothetical Scenario ◽  
Co2 Sink

Curbing greenhouse gas (GHG) emissions to combat climate change is a major global challenge. Although irrigated agriculture consumes considerable energy that generates GHG emissions, the biomass produced also represents an important CO2 sink, which can counterbalance the emissions. The source of the water supply considerably influences the irrigation energy consumption and, consequently, the resulting carbon footprint. This study evaluates the potential impact on the carbon footprint of partially and fully replacing the conventional supply from Tagus–Segura water transfer (TSWT) with desalinated seawater (DSW) in the irrigation districts of the Segura River basin (south-eastern Spain). The results provide evidence that the crop GHG emissions depend largely on the water source and, consequently, its carbon footprint. In this sense, in the hypothetical scenario of the TSWT being completely replaced with DSW, GHG emissions may increase by up to 50% and the carbon balance could be reduced by 41%. However, even in this unfavourable situation, irrigated agriculture in the study area could still act as a CO2 sink with a negative total and specific carbon balance of −707,276 t CO2/year and −8.10 t CO2/ha-year, respectively. This study provides significant policy implications for understanding the water–energy–food nexus in water-scarce regions.

scholarly journals There is a silver lining: carbon footprint reduction by holding Preventive Cardiology conference 2020 virtually

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
T Batool ◽  
A Neven ◽  
Y Vanrompay ◽  
M Adnan ◽  
P Dendale
Keyword(s):  
Climate Change ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Carbon Emission ◽  
Ghg Emissions ◽  
Air Travel ◽  
Co2 Production ◽  
Scientific Conference ◽  
Preventive Cardiology ◽  
Transport Modes

Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): Special Research Fund (BOF), Hasselt University Introduction The transportation sector is one of the major sectors influencing climate change, contributing around 16% of total Greenhouse gases (GHG) emissions. Aviation contributes to 12% of the transport related emissions. Among other climate change impacts, elevated heat exposure is associated with increased cardiac events and exposure to air pollution caused by GHG emissions has also well-known association with increased cardiovascular related morbidity and mortality. The global temperature rise should be restricted to less than 2 °C which requires keeping carbon emission (CO2) less than 2900 billion tonnes by the end of the 21st century. Assuming air travel a major contributing source to GHG, this study aims to raise the awareness about potential carbon emissions reduction due to air travel of international events like a scientific conference. Purpose Due to the global pandemic of COVID-19, the Preventive cardiology conference 2020 which was planned to be held at Malaga Spain, instead was held in virtual online way. This study aims to calculate the contribution of reduced CO2  emissions in tons due to ESC preventive cardiology conference 2020, which was then held online and air travel of the registered participants was avoided. Methods Anonymized participant registration information was used to determine the country and city of the 949 registered participants of the Preventive Cardiology conference 2020. It is assumed that participants would have travelled from the closest airports from their reported city locations to Malaga airport, Spain. At first, the closest city airports were determined using Google maps and flights information, then the flight emissions (direct and indirect CO2-equivalent emissions) per passenger for the given flight distances were calculated. The CO2 emissions (tons) were calculated for round trips in economy class from the participants of 68 nationalities (excluding 60 participants from Spain as they are assumed to take other modes of transport than airplane). Results In total, 1156.51 tons of CO2  emissions were saved by turning the physical conference into a virtual event. This emission amount is equivalent to the annual CO2 production of 108 people living in high-income countries. Conclusion The pandemic situation has forced us to rethink the necessity of trips by air and has shown us the feasibility of digitally organized events. The information from this study can add to the awareness about reduced amount of carbon emission due to air travel by organizing events in a virtual way when possible. Apart from only digitally organized events there are others options to reduce the carbon footprint of conferences such as limiting the number of physical attendees, encouraging the use of relatively sustainable transport modes for participants from nearby countries (e.g. international trains and use of active transport modes at conference venue etc.) and including CO2 emission offsetting costs.

Speech Methodologies in Cleft Palate Assessment: A Pilot Project to Compare Two Phonetically Different Sentence Sets

2013 ◽  
Vol 20 (1) ◽  
pp. 49-72
Author(s):  
Jennie Smith ◽  
Tim Pring ◽  
Debbie Sell
Keyword(s):  
Cleft Palate ◽  
Pilot Project ◽  
Wilcoxon Test ◽  
Consecutive Series ◽  
Video Recordings ◽  
Significant Difference ◽  
The Difference ◽  
Audio Video ◽  
Age Range ◽  
The Impact

Objective: To investigate the impact of the phonetic content of two sentence sets on speech outcomes, specifically the effects of nasal phonemes. Method: Audio-video recordings of a consecutive series of 15 participants (age range 4–22 years), with cleft palate (syndromic or non-syndromic), with and without velopharyngeal dysfunction were taken. Participants repeated Sentence Set 1 (with nasals across sentences) and Sentence Set 2 (without nasals except the three nasal target sentences) during a routine speech recording. Two experienced Specialist Speech and Language Therapists, blinded to the study’s purpose, analyzed participants’ speech using the Cleft Audit Protocol for Speech-Augmented (CAPS-A). On day 1, recordings included Sentence Set 1. On day 2, 23 days later, recordings included Sentence Set 2. Main results: The difference between Sentence Set 1 and Sentence Set 2 ‘total scores’ (sum of scores on all CAPS-A parameters) was significant. The Pearson Product Moment showed high correlation. A Wilcoxon test revealed a significant difference between Sets 1 and 2 on the hypernasality parameter, and this alone accounted for the significant difference in total scores. Conclusion: The inclusion or exclusion of nasal consonants in the sentence set significantly affected perceptual ratings of hypernasality but none of the other CAPS-A parameters, highlighting the need for further investigation into perceptual nasality ratings.

scholarly journals Tourism, Transport and Climate Change: The Carbon Footprint of International Air Traffic on Islands

2021 ◽  
Vol 13 (4) ◽  
pp. 1795
Author(s):  
Pedro Dorta Antequera ◽  
Jaime Díaz Pacheco ◽  
Abel López Díez ◽  
Celia Bethencourt Herrera
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Canary Islands ◽  
Fossil Fuels ◽  
Average Distance ◽  
Ghg Emissions ◽  
Relative Weight ◽  
Air Transport ◽  
Small Islands ◽  
The World

Many small islands base their economy on tourism. This activity, based to a large extent on the movement of millions of people by air transport, depends on the use of fossil fuels and, therefore, generates a large amount of greenhouse gas (GHG) emissions. In this work, these emissions are evaluated by means of various carbon calculators, taking the Canary Islands as an example, which is one of the most highly developed tourist archipelagos in the world. The result is that more than 6.4 million tonnes (Mt) of CO2 are produced per year exclusively due to the massive transport of tourists over an average distance of more than 3000 km. The relative weight of these emissions is of such magnitude that they are equivalent to more than 50% of the total amount produced by the socioeconomic activity of the archipelago. Although, individually, it is travelers from Russia and Nordic countries who generate the highest carbon footprint due to their greater traveling distance, the British and German tourists account for the greatest weight in the total, with two-thirds of emissions.

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