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Emissions from open biomass burning in India: Integrating the inventory approach with high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) active-fire and land cover data

机译:印度露天生物质燃烧产生的排放:将清单方法与高分辨率中分辨率成像光谱仪(MODIS)的主动火警和土地覆盖数据相结合

摘要

[ 1] Climatological mean estimates of forest burning and crop waste burning based on broad assumptions of the amounts burned have so far been used for India in global inventories. Here we estimate open biomass burning representative of 1995 - 2000 from forests using burned area and biomass density specific for Indian ecosystems and crop waste burning as a balance between generation and known uses as fuel and fodder. High-resolution satellite data of active fires and land cover classification from MODIS, both on a scale of 1 km x 1 km, were used to capture the seasonal variability of forest and crop waste burning and in conjunction with field reporting. Correspondence in satellite-detected fire cycles with harvest season was used to identify types crop waste burned in different regions. The fire season in forest areas was from February to May, and that in croplands varied with geographical location, with peaks in April and October, corresponding to the two major harvest seasons. Spatial variability in amount of forest biomass burned differed from corresponding forest fire counts with biomass burned being largest in central India but fire frequency being highest in the east-northeast. Unutilized crop waste and MODIS cropland fires were predominant in the western Indo-Gangetic plain. However, the amounts of unutilized crop waste in the four regions were not strictly proportional to the fire counts. Fraction crop waste burned in fields ranged from 18 to 30% on an all-India basis and had a strong regional variation. Open burning contributes importantly ( about 25%) to black carbon, organic matter, and carbon monoxide emissions, a smaller amount ( 9 - 13%) to PM2.5 ( particulate mass in particles smaller than 2.5 micron diameter) and CO2 emissions, and negligibly to SO2 emissions (1%). However, it cannot explain a large "missing source'' of BC or CO from India.
机译:[1]迄今为止,基于全球燃烧量的广泛假设,对森林燃烧和农作物废弃物燃烧的气候学平均估计已用于印度。在这里,我们利用森林的燃烧面积和生物量密度(印度生态系统特有的生物量)和农作物废弃物燃烧作为发电量与已知用途(燃料和饲料)之间的平衡,来估计森林中1995年至2000年的开放式生物量燃烧。来自MODIS的高分辨率火星活动数据和土地覆被分类(均为1 km x 1 km)被用于捕获森林和农作物废弃物燃烧的季节性变化,并与现场报告结合使用。利用卫星探测到的火周期与收获季节的对应关系来识别在不同地区燃烧的农作物废弃物的类型。森林地区的火灾季节是从二月到五月,农田的火灾季节随地理位置而变化,在四月和十月达到峰值,与两个主要收获季节相对应。森林生物量燃烧量的空间变异性不同于相应的森林火灾计数,其中燃烧的生物量在印度中部最大,而火灾频率在东北东北部最高。在印度西部恒河平原,未利用的农作物废料和MODIS农田火灾占主导地位。但是,这四个区域中未利用的农作物废弃物的数量与火灾次数并不严格成比例。在全印度范围内,在田间燃烧的部分农作物废物占18%至30%,并且区域差异很大。露天燃烧对黑碳,有机物和一氧化碳的排放起重要作用(约占25%),对PM2.5(直径小于2.5微米的颗粒中的颗粒质量)和CO2排放的贡献较小(9-13%)。 SO2排放量可忽略不计(1%)。但是,它无法解释来自印度的大量“不列颠哥伦比亚省”或“ CO省”。

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