利用accmip数据对埃及的污染物排放进行历史研究

A. Saber, H. Basset, M. Eid, F. El-Hussainy
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引用次数: 1

摘要

利用ACCMIP (Atmospheric Chemistry and Climate Model Intercomparison Project)历史排放清查数据,对1850 - 2000年埃及部分污染物的排放进行了统计分析。研究了下列化合物的季节和年度变化:黑碳(BC)、一氧化碳(CO)、丙烷(C3H8)、甲醛(HCHO)、氮氧化物(NOX)、甲苯(C7H8)、乙烯(C2H4)、氨(NH3)、丙烯(C3H6)、二氧化硫(SO2)和有机碳(OC)。发现这些污染物在尼罗河三角洲和大开罗地区(东经30.25 ~ 31.75°和北纬29.25 ~ 31.25°)较为强烈;它主要由人类活动产生。这些污染物的年度分析表明,其中四种(C3H8、HCHO、SO2和NOX)在研究期间具有相同的行为,在1930年至2000年左右出现了明显的增加。4种污染物(BC、C2H4、C3H6和OC)也具有相同的行为,1830 ~ 2000年表现出明显的增加。变异系数(COV)在CH2O和C3H8的季节和年度时间序列中出现较高值,而在C2H4和C3H6的时间序列中出现较低值。趋势分析表明,1930 ~ 2000年期间,除NH3外,其他污染物的排放量均呈显著增加趋势,NH3在季节和年序列上均呈负趋势。
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HISTORICAL STUDY OF POLLUTANTS EMISSION OVER EGYPT USING ACCMIP DATA
Statistical analysis for the emissions of some pollutants over Egypt during the period from 1850 to 2000 using the ACCMIP (Atmospheric Chemistry and Climate Model Intercomparison Project) history emission inventory dataset has been done. The seasonal and annual variations of the following compounds: Black Carbon (BC), Carbon monoxide (CO), Propane (C3H8), Formaldehyde (HCHO), Nitrogen Oxides (NOX), Toluene (C7H8), Ethylene (C2H4), Ammonia (NH3), Propene (C3H6), Sulfur Dioxide (SO2) and Organic Carbon (OC) have been examined. It is found that these pollutants are intense over Nile Delta and Greater Cairo (30.25o 31.75o E and 29.25o 31.25o N); it produces mainly from human activities. The annual analysis of these pollutants illustrates that four of them (C3H8, HCHO, SO2 and NOX) have the same behavior during the period of study, where an obvious increase appears from about 1930 to 2000. Also, there are four pollutants (BC, C2H4, C3H6 and OC) that have the same behavior, where an evident increase appears from 1830 to 2000. The higher values of the coefficient of variation (COV) appears with the seasonal and annual time series of CH2O and C3H8 while the lower values of COV were found with the time series of C2H4 and C3H6. The trend analyses conclude that an obvious increase of all pollutants emissions except with NH3 where a negative trend appears with the seasonal and annual time series during the period from 1930 to 2000.
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