Comparative assessment of urea briquette applicators on greenhouse gas emission, nitrogen loss and soil enzymatic activities in tropical lowland rice

2018 ◽  
Vol 252 ◽  
pp. 178-190 ◽  
Author(s):  
Dibyendu Chatterjee ◽  
Sangita Mohanty ◽  
Prabhat Kumar Guru ◽  
Chinmaya Kumar Swain ◽  
Rahul Tripathi ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Nitrogen Loss ◽  
Comparative Assessment ◽  
Enzymatic Activities ◽  
Lowland Rice ◽  
Gas Emission ◽  
Tropical Lowland ◽  
Soil Enzymatic Activities ◽  
Urea Briquette

scholarly journals Forecasting N2O emission and nitrogen loss from swine manure composting based on BP neural network

2019 ◽  
Vol 277 ◽  
pp. 01010
Author(s):  
Haotian Chen ◽  
Shaoze Sun ◽  
Baoli Zhang
Keyword(s):  
Neural Network ◽  
Greenhouse Gas ◽  
Total Nitrogen ◽  
Bp Neural Network ◽  
Greenhouse Gas Emission ◽  
Nitrogen Loss ◽  
Swine Manure ◽  
Gas Emission ◽  
Total Nitrogen Loss ◽  
The Mean

Nitrogen loss and greenhouse gas emission during compost will cause secondary pollution and waste nutrients. To address this issue, a predictive model was set up to obtain a clear knowledge of the N2O emission and nitrogen loss from swine manure composting. This paper collected 68 group data from 11 published papers about pig manure composting N2O emission and total nitrogen loss. Select 4 indexes were taken as predicted indexes include aeration rate, moisture content, C/N, and the amount of superphosphate to establish a BP neural network for forecasting the N2O emission and total nitrogen loss from composting. The analyses show that the mean error of N2O emission forecasting model is 1.17; the value of MAPE is 138.85%. As for nitrogen loss, the mean error is 24.72 and the mean absolute percentage error is 11.06%. Compare to the traditional linear regression, the BP neural network model has good accuracy on forecasting N2O emission and TN loss from manure composting. BP neural network has considerable application prospect in forecast nitrogen loss and greenhouse gas emission from composting.

Role of biochar amendment in mitigation of nitrogen loss and greenhouse gas emission during sewage sludge composting

2016 ◽  
Vol 219 ◽  
pp. 270-280 ◽  
Author(s):  
Mukesh Kumar Awasthi ◽  
Quan Wang ◽  
Xiuna Ren ◽  
Junchao Zhao ◽  
Hui Huang ◽  
...  
Keyword(s):  
Sewage Sludge ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Nitrogen Loss ◽  
Gas Emission ◽  
Sludge Composting ◽  
Biochar Amendment

scholarly journals An Optimization Scheme of Balancing GHG Emission and Income in Circular Agriculture System

2021 ◽  
Vol 13 (13) ◽  
pp. 7154
Author(s):  
Sheng Hang ◽  
Jing Li ◽  
Xiangbo Xu ◽  
Yun Lyu ◽  
Yang Li ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Agricultural Development ◽  
Greenhouse Gas Emission ◽  
Nitrogen Loss ◽  
Rapid Development ◽  
Agricultural Product ◽  
Ghg Emission ◽  
Gas Emission ◽  
Agricultural Income ◽  
Study Results

With the rapid development of circular agriculture in China, balancing agricultural income and environmental impact by adjusting the structure and scale of circular agriculture is becoming increasingly important. Agriculture is a major source of greenhouse gas and income earned from agriculture drives sustainable agricultural development. This paper built a multi-objective linear programming model based on greenhouse gas emission and agricultural product income and then optimized the structure and scale of circular agriculture using Beiqiu Farm as a case study. Results showed that greenhouse gas emission was mainly from manure management in livestock industry. While the agriculture income increased by 64% after optimization, GHG emission increased by only 12.3%. The optimization made full use of straw, manure and fodder, but also minimized soil nitrogen loss. The results laid a generalized guide for adjusting the structure and scale of the planting and raising industry. Measures for optimizing the management of manure were critical in achieving low agricultural carbon emissions in future agricultural development efforts.

Quantifying the Greenhouse Gas Emission Reductions Associated with Recycling Hot Mix Asphalt

2011 ◽  
Vol 12 (1) ◽  
pp. 57-77
Author(s):  
James W Lewis ◽  
Morton A Barlaz ◽  
Akhtar Tayebali ◽  
S Ranji Ranjithan
Keyword(s):  
Greenhouse Gas ◽  
Hot Mix Asphalt ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Emission Reductions

Growth of housing sector in India - application of Cost-effective Construction Technologies to reduce Greenhouse Gas Emission

2019 ◽  
Author(s):  
Nilanjan Sengupta
Keyword(s):  
Greenhouse Gas ◽  
Building Materials ◽  
Greenhouse Gas Emission ◽  
High Growth ◽  
Cost Effective ◽  
Construction Technology ◽  
Gas Emission ◽  
Sustainable Building ◽  
Skilled Manpower ◽  
Energy Consuming

Building construction sector can play a major role in reducing Greenhouse Gas emission through application of technologies aimed at reduction of use of building materials. Energy consumed during production of building materials and components plays a crucial role in creating environmental pollution. India is witnessing high growth in urban and rural housing, which needs more production of building materials. Permanent or semi-permanent type buildings which consume easily available conventional materials like brick, reinforced cement concrete etc. can be made Economic and Eco-friendly by lowering use of energy-consuming building materials through Cost-effective Construction Technologies. Buildings with Cost-effective Construction Technology can be designed within the parameters of the existing Indian Standards. Awareness generation among the users, proper technical and architectural guidance and easy availability of skilled manpower are of utmost importance for promotion of cost-effective technologies in India and to make them as the most acceptable case of sustainable building technologies both in terms of cost and environment.

Greenhouse gas emission from integrated farming system models : A comparative study

Green Farming ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 696
Author(s):  
MEERA A.V. ◽  
JOHN J. ◽  
SUDHA B. ◽  
SAJEENA A. ◽  
JACOB D. ◽  
...  
Keyword(s):  
Comparative Study ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Farming System ◽  
Gas Emission ◽  
System Models ◽  
Integrated Farming
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