A GIS based methodology for gridding of large-scale emission inventories: Application to carbon-monoxide emissions over Indian region

详细信息    查看全文

• 作者：Mohit Dalvi ; Gufran Beig ; Uday Patil ; Akshara Kaginalkar ; C. Sharma and A.P. Mitra
• 关键词：Carbon monoxide ; Indian inventory ; Geographical information systems ; Spatial distribution ; Gridded emissions
• 刊名：Atmospheric Environment
• 出版年：2006
• 出版时间：May 2006
• 年：2006
• 卷：40
• 期：16
• 页码：2995-3007
• 全文大小：790 K

文摘

Chemical simulations in most of the atmospheric chemistry models require surface emissions in a specific form (gridded), which are often not available. Simple interpolation of broader level emissions to obtain gridded data may lead to erroneous results. An attempt has been made in this paper to develop a geographical information system (GIS) based methodology for distributing the emissions from a broader level inventory to finely gridded emission values, considering local micro-level details and activity data. Given the importance of Carbon Monoxide emissions in ozone pollution chemistry over India, an emission inventory for CO from various sources for India has been used to demonstrate the GIS-based gridding methodology. The total CO emissions over India for 2001, which are estimated to be around 69.0 Tg year⁻¹, have been downscaled source-wise (distinguishing between rural and urban bio-fuel, vehicular traffic, coal and biomass burning) from state-level (28 points) to district level (500 points) before mapping through a GIS utility and finally gridded to a 1°×1° resolution with a data loss of only about 13 % . The final results provide detailed information with emission “hot spots” and the relative contribution of various sources. This article focuses on usage of the GIS based statistical methodology for gridding the inventory and the results obtained thereof are discussed.