Inclusion of Regional Transit Emissions in Local Greenhouse Gas Inventories

2012 ◽  
Vol 2270 (1) ◽  
pp. 142-151 ◽  
Author(s):  
Frank Gallivan ◽  
Elizabeth Sall ◽  
Eric Hesse ◽  
Deborah Salon ◽  
Chris Ganson
2020 ◽  
pp. 0958305X2090708
Author(s):  
Eun-Mi Been ◽  
Young-Kwon Park ◽  
Kyung-Tae Kim

The main purpose of this study is to propose a reduction of inventory based on non-industrial sectors reflecting the characteristics of local governments and efficient greenhouse gas reduction activities in Korea. Although national government has implemented various policies and systems to reduce greenhouse gas emissions, it would only remain in industrial and public areas. Thus, in order to reduce national greenhouse gas emissions, local governments should play a major role as a leading management entity and it is necessary to adopt efficient and systematic management of the non-industrial sector, which accounted for a significant portion of the country’s emissions. However, the policy of the local governments to reduce greenhouse gas emissions has not been effective due to lacking in connectivity to the central government’s plan or presenting it in a simple listing format. The characteristics of inventory building such as main purpose, boundary setting, emission source, policy setting, range, organizing body, relevant law of inventory building between national government, and local governments are quite different from the start. In order to reflect the actual greenhouse gas reduction activities of the local governments, this study reconstructs the categories that are considered to have management authority in the local governments such as home, commercial, and road transportation among the scope 1 of the local governments inventory and scope 2 for establishing effective policies to reduce greenhouse gas emissions in local governments. This study also proposes reduced inventory by reorganizing categories that local governments deem to have managerial authority among direct and indirect emission of greenhouse gas inventory.


2007 ◽  
Vol 16 (4) ◽  
pp. 361 ◽  
Author(s):  
Jeremy Russell-Smith ◽  
Cameron P. Yates ◽  
Peter J. Whitehead ◽  
Richard Smith ◽  
Ron Craig ◽  
...  

Australia is among the most fire-prone of continents. While national fire management policy is focused on irregular and comparatively smaller fires in densely settled southern Australia, this comprehensive assessment of continental-scale fire patterning (1997–2005) derived from ~1 km2 Advanced Very High Resolution Radiometer (AVHRR) imagery shows that fire activity occurs predominantly in the savanna landscapes of monsoonal northern Australia. Statistical models that relate the distribution of large fires to a variety of biophysical variables show that, at the continental scale, rainfall seasonality substantially explains fire patterning. Modelling results, together with data concerning seasonal lightning incidence, implicate the importance of anthropogenic ignition sources, especially in the northern wet–dry tropics and arid Australia, for a substantial component of recurrent fire extent. Contemporary patterns differ markedly from those under Aboriginal occupancy, are causing significant impacts on biodiversity, and, under current patterns of human population distribution, land use, national policy and climate change scenarios, are likely to prevail, if not intensify, for decades to come. Implications of greenhouse gas emissions from savanna burning, especially seasonal emissions of CO2, are poorly understood and contribute to important underestimation of the significance of savanna emissions both in Australian and probably in international greenhouse gas inventories. A significant challenge for Australia is to address annual fire extent in fire-prone Australian savannas.


2020 ◽  
Vol 12 (11) ◽  
pp. 1891 ◽  
Author(s):  
Ronald E. McRoberts ◽  
Erik Næsset ◽  
Christophe Sannier ◽  
Stephen V. Stehman ◽  
Erkki O. Tomppo

For tropical countries that do not have extensive ground sampling programs such as national forest inventories, the gain-loss approach for greenhouse gas inventories is often used. With the gain-loss approach, emissions and removals are estimated as the product of activity data defined as the areas of human-caused emissions and removals and emissions factors defined as the per unit area responses of carbon stocks for those activities. Remotely sensed imagery and remote sensing-based land use and land use change maps have emerged as crucial information sources for facilitating the statistically rigorous estimation of activity data. Similarly, remote sensing-based biomass maps have been used as sources of auxiliary data for enhancing estimates of emissions and removals factors and as sources of biomass data for remote and inaccessible regions. The current status of statistically rigorous methods for combining ground and remotely sensed data that comply with the good practice guidelines for greenhouse gas inventories of the Intergovernmental Panel on Climate Change is reviewed.


2007 ◽  
Vol 2007 (18) ◽  
pp. 1266-1269 ◽  
Author(s):  
James Wintergreen ◽  
Michael Van Brunt ◽  
Tod Delaney

2021 ◽  
Vol 909 (1) ◽  
pp. 012016
Author(s):  
Y I Rahmila ◽  
I M Kusuma ◽  
Syafrudin

Abstract Some important sectors influenced the increase of greenhouse gases, such as waste, transportation, settlement, and agricultural sectors. This research aimed to analyze the amount of CO2 emissions, map the carbon footprint, and analyze tree capability in reducing CO2 in 12 villages in Pedurungan district, Semarang city, Central Java. The method used was based on IPCC Guidelines for National Greenhouse Gas Inventories 2006 and Ministry of Environment 2012 about the Implementation of National Greenhouse Gas Inventories Guidelines. The carbon footprint was mapped using ArcGIS software. The results showed that the energy sector produced 13.723,35 tons CO2 Eq, the transportation sector emitted 1.624,58 tons CO2 Eq, and the waste sector emitted 7.677,08 CO2 Eq. The carbon footprint map was presented in three classifications of carbon footprint: lower, middle, and upper, represented by green, yellow, and red colors. An effort to reduce the carbon footprint was planting 300 trees of ten species in the Pedurungan district.


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