首页|Chemistry and source identification of wet precipitation in a rural watershed of subtropical China
Chemistry and source identification of wet precipitation in a rural watershed of subtropical China
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国家科技期刊平台
NETL
NSTL
万方数据
维普
South China is one of the regions severely suffering from acid rain in the world.However,few systematic studies of rural precipitation chemistry have been performed in comparison with the extensive studies on their urban counterparts of this region.In order to characterize the current acid rain status and identify its possible sources in the rural area of South China,we analyzed precipitation collected event by event from a rural forested watershed in southern Anhui Province between March 2007 and February 2010.The results showed that the concentrations of major ions within precipitation in the studied rural area were significantly lower than those reported for the urban areas of the same latitude in China.Nevertheless,the precipitation acidity (with an average pH value of 4.49) and the frequency of acid rain (95％) were considerably high.The relatively high ratio of (SO42-+ NO3-)/(Ca2++NH4+) was the main cause of acid rain in this rural area,as SO2 and NOx were the main precursors of acid rain,while Ca2+ and NH4+ acted as the dominant neutralizers to the acidity.Source identification indicated that Ca2+ and Mg2+ mainly were derived from alkaline dust,SO42-,NO3-and NH4+ originated mainly from anthropogenic sources such as industrial and agricultural activities,most Na+,Cl-,K+ and some of Mg2+ were derived from the sea.The results suggested that the major ions within precipitation in the rural area of South China were related to the meso-scale and long-range transport of particles and aerosols in the air.
acid rainprecipitation chemistrysource identificationrural areaSouth China
HUANG Laiming、YANG Jinling、ZHANG Ganlin
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State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
Graduate University of Chinese Academy of Sciences, Beijing 100049, China
国家自然科学基金国家自然科学基金International Foundation of ScienceInstitute of Soil Science,Chinese Academy of Sciences
国家科技期刊平台
NSTL
万方数据
维普
