Greenhouse gas emission in relation to labile soil C, N pools and functional microbial diversity as influenced by 39 years long-term fertilizer management in tropical rice

2013 ◽  
Vol 129 ◽  
pp. 93-105 ◽  
Author(s):  
P. Bhattacharyya ◽  
A.K. Nayak ◽  
S. Mohanty ◽  
R. Tripathi ◽  
Mohammad Shahid ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Fertilizer Management ◽  
Gas Emission ◽  
Soil C ◽  
Functional Microbial Diversity

scholarly journals The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

2019 ◽  
Vol 11 (2) ◽  
pp. 497 ◽  
Author(s):  
Olimpia Neagu ◽  
Mircea Teodoru
Keyword(s):  
Energy Consumption ◽  
Least Squares ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Consumption Structure ◽  
Economic Complexity ◽  
European Economies ◽  
Heterogeneous Panel

The aim of the paper is to examine the long-term relationship between economic complexity, energy consumption structure, and greenhouse gas emission, within a panel of European Union countries and two subpanels: (i) European economies with higher economic complexity and (ii) European economies with a lower level of economic complexity. Taking into consideration the heterogeneity among European countries, the heterogeneous panel technique is used, including panel estimation through fully modified least squares (FMOLS) and dynamic ordinary least squares (DOLS). The empirical findings indicate a long-term equilibrium relationship between economic complexity, energy consumption structure and greenhouse gas emission within all three panels. Economic complexity and energy consumption structure have a statistically significant impact on greenhouse gas emission within all panels, but the influence is higher within the subpanel of countries with a lower level of economic complexity, suggesting a higher risk of pollution as the economic complexity grows and as the energy balance inclines in favor of non-renewable energy consumption. Our paper suggests that the economic complexity is a variable that must be taken into consideration when national economic and energy policies are shaped. Finally, policy implications for each panel of countries are discussed.

GREENHOUSE GAS EMISSION FROM COMBUSTION OF ASSOCIATED PETROLEUM GAS IN RUSSIA

2021 ◽  
pp. 54-61
Author(s):  
N. V. Popov ◽  
◽  
I. L. Govor ◽  
M. L. Gitarskii ◽  
◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Greenhouse Gases ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Component Composition ◽  
Emission Factors ◽  
Gas Emission ◽  
Associated Petroleum Gas ◽  
Carbon Dioxide Co2

The average weighted long-term component composition of associated petroleum gas burned at the fields in Russia is obtained, where the volume fractions of carbon dioxide (CO2) and methane (CH4) make up 0.8 and 66.4%, respectively. Based on it, the national emission factors of greenhouse gases from the flaring of associated petroleum gas are developed: the values are equal to 2.76 103 t CO2 and 0.0155 103 t CH4 per 1 106 m3 of the gas burnt. The calculations based on the emission factors led to the 37% increase in total equivalent emission of CO2 and CH4 as compared to the calculations based on the IPCC emission factors. The use of the national emission factors increases the reliability of the estimates of greenhouse gas emissions and the evaluation of their impact on climate.

scholarly journals Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1260 ◽  
Author(s):  
Khalid Alotaibi ◽  
Abdul Ghumman ◽  
Husnain Haider ◽  
Yousry Ghazaw ◽  
Md. Shafiquzzaman
Keyword(s):  
Saudi Arabia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Data Driven ◽  
Emission Scenarios ◽  
Gas Emission ◽  
The Future ◽  
Emissions Scenarios ◽  
The Impact

Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. Furthermore, their results are associated with uncertainties and variations for different GCMs for various greenhouse gas emission scenarios. Data-driven models including artificial neural networks (ANNs) and adaptive neuro fuzzy inference systems (ANFISs) can be used to predict long-term future changes in rainfall and temperature, which is a challenging task and has limitations including the impact of greenhouse gas emission scenarios. Therefore, in this research, results from various GCMs and data-driven models were investigated to study the changes in temperature and rainfall of the Qassim region in Saudi Arabia. Thirty years of monthly climatic data were used for trend analysis using Mann–Kendall test and simulating the changes in temperature and rainfall using three GCMs (namely, HADCM3, INCM3, and MPEH5) for the A1B, A2, and B1 emissions scenarios as well as two data-driven models (ANN: feed-forward-multilayer, perceptron and ANFIS) without the impact of any emissions scenario. The results of the GCM were downscaled for the Qassim region using the Long Ashton Research Station’s Weather Generator 5.5. The coefficient of determination (R2) and Akaike’s information criterion (AIC) were used to compare the performance of the models. Results showed that the ANNs could outperform the ANFIS for predicting long-term future temperature and rainfall with acceptable accuracy. All nine GCM predictions (three models with three emissions scenarios) differed significantly from one another. Overall, the future predictions showed that the temperatures of the Qassim region will increase with a specified pattern from 2011 to 2099, whereas the changes in rainfall will differ over various spans of the future.

scholarly journals Subsidence of rice paddy and upland crop fields in Shinotsu Peatland, Hokkaido, Japan

2020 ◽  
Vol 382 ◽  
pp. 231-235
Author(s):  
Minoru Yokochi ◽  
Koichi Sekimoto ◽  
Takashi Inoue
Keyword(s):  
Greenhouse Gas ◽  
Land Surface ◽  
Agricultural Land ◽  
Greenhouse Gas Emission ◽  
Rice Paddy ◽  
Agricultural Land Use ◽  
Gas Emission ◽  
Crop Fields ◽  
Upland Crop

Abstract. Agricultural land use on peatlands inevitably causes ongoing land surface subsidence resulting in a reduction of productivity. In addition, oxidation of the peat substrate associated with subsidence is responsible for greenhouse gas emission with the ensuing consequence for global climatic stability. A concept of “paludiculture”, the utilisation of wet or rewetted peatlands for agriculture, has been proposed in European countries to avoid further subsidence and greenhouse gas emission. However, few studies have documented a long-term record of subsidence through agriculture in wet peatlands such as paddy fields for rice cultivation. In this study, we measured the subsidence rates of peatland in rice paddy use and compared them to the rates in peatland with upland crop cultivation. The average subsidence between 2006 and 2016 for the paddy plots was 3.6±1.9 cm (± SE) and significantly less than that of 25.6±1.7 cm for the upland plots, and the subsidence reduced linearly as the period of paddy use increased. These results suggest that paddy use of peatlands can effectively reduce subsidence. Our results will encourage the use of peatlands with a wet environment as one of the valid options for future peatland management in terms of mitigation of land subsidence and peat loss.

Co-composting of palm empty fruit bunch and palm oil mill effluent: Microbial diversity and potential mitigation of greenhouse gas emission

2017 ◽  
Vol 146 ◽  
pp. 94-100 ◽  
Author(s):  
Yuvaneswaran Krishnan ◽  
Cassendra Phun Chien Bong ◽  
Nadia Farhana Azman ◽  
Zuriati Zakaria ◽  
Nor’Azizi Othman ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
Greenhouse Gas ◽  
Palm Oil ◽  
Greenhouse Gas Emission ◽  
Palm Oil Mill Effluent ◽  
Empty Fruit Bunch ◽  
Gas Emission ◽  
Palm Oil Mill

scholarly journals Are Hybrid Cars A Good Buy?

2011 ◽  
Vol 5 (3) ◽  
pp. 1
Author(s):  
Anne Macy
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Hybrid Vehicles ◽  
Purchase Decision ◽  
Tax Credit ◽  
Gas Emission ◽  
Hybrid Car ◽  
Benefits And Costs

This case examines the benefits and costs of buying a hybrid car. Students examine the car purchase decision along with depreciation rates and the long-term value of hybrid cars, while they calculate the benefits and costs of the various hybrid vehicles and their comparable sister cars. Secondary issues include an examination of the trade-in value for non-hybrid cars and the horsepower and greenhouse gas emission differences between hybrid and their sister cars. Furthermore, students will examine whether or not the federal tax credit for hybrids should be reinstated.

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