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| 1 | SHRIMP zircon U-Pb dating for volcanic rocks of the Dasi Formation in southeast Hubei Province,middle-lower reaches of the Yangtze River and its implications显示文摘The Jinniu Basin in southeast Hubei,located at the westernmost part of middle-lower val-ley of the Yangtze River,is one of the important vol-canic basins in East China. Volcanic rocks in the Jin-niu Basin are distributed mainly in the Majiashan Formation,the Lingxiang Formation and the Dasi Formation,consisting of rhyolite,basalt and basaltic andesite,(trachy)-basalt and basaltic trachy-andesite and (trachy)-andesite and (trachy)-dacite and rhyolite respectively,in which the Dasi volcanism is volumet-rically dominant and widespread. The Dasi volcanic rocks were selected for SHRIMP zircon U-Pb dating to confirm the timing of volcanism. The results indi-cate that there exist a large amount of magmatic zir-cons characterized by high U and Th contents in the volcanic rocks. The concordia ages for 13 points are 128 ± 1Ma (MSWD = 3.0). On account of the shape of zircons and Th/U ratios,this age is considered to represent the crystallization time of the Dasi volcan-ism. The volcanic rocks in the Dasi,Majiashan and Lingxiang Formations share similar trace elementand REE partition patterns as well as Sr-Nd isotopic compositions. In combination with the regional geol-ogy,it is proposed that the southeast Hubei volcanic rocks were formed mainly during the Early Creta-ceous,just like other volcanic basins in middle-lower Yangtze valley. A lithospheric extension is also sug-gested for tectonic regime in this region in the Cre-taceous Period. | XIE Guiqing MAO Jingwen LI Ruiling ZHOU Shaodong YE Huishou YAN Quanren ZHANG Zusong | 2006 | Chinese Science Bulletin2006，51，24： | 38 |
| 2 | Ozone source attribution during a severe photochemical smog episode in Beijing,China显示文摘Beijing,the capital of China,frequently suffers from the high levels of ozone in summer.A 3-D regional chemical transport model,the Comprehensive Air Quality Model with extensions(CAMx),has been used to simulate a heavy O3 pollution episode in Beijing during June 26―July 2,2000.Ozone Source Apportionment Technology(OSAT) and Geographic Ozone Assessment Technology(GOAT) were applied to quantify the contributions of the precursor emissions from different regions to O3 concentrations in Beijing,to identify the relative importance of different ways by which regional sources affected the O3 levels in Beijing urban areas,and to investigate the sensitivity of O3 formation to the precursors during the episode.The O3 pollution in Beijing showed a significant spatial distribution with strong regional contribution.The results suggested that the plume originating from Beijing urban areas greatly affected the O3 concentrations at the Dingling site,accounting for 55% of elevated O3 there,while O3 pollution in the Beijing urban areas resulted from both local emissions and those from Tianjin and the south of Hebei Province.Transport of O3 was responsible for about 70% of the regional O3 contribution to Beijing urban areas,while transport of O3 precursors accounted for the remainder.The formation of O3 was limited by volatile organic compounds(VOCs) in the urban areas of Beijing,while being more sensitive to NOx levels in the suburban and more remote areas.Therefore,it is necessary to consider a large number of factors,including impacts of emissions from different regions,the two modes of regional contribution as well as the sensitivity of O3 formation to precursors,in the design of emissions control strategies for O3 reduction in Beijing. | WANG XueSong LI JinLong ZHANG YuanHang XIE ShaoDong TANG XiaoYan | 2009 | Science China Chemistry2009，52，8： | 32 |
| 3 | Characteristics of volatile organic compounds,NO_2,and effects on ozone formation at a site with high ozone level in Chengdu显示文摘Chengdu is a megacity in the southwest of China with high ozone(O_3) mixing ratio.Observation of volatile organic compounds(VOCs), NO_2 and O_3 with high temporal resolution was conducted in Chengdu to investigate the chemical processes and causes of high O_3 levels. The hourly mixing ratios of VOCs, NO2, and O_3 were monitored by an online system from 28 August to 7 October, 2016. According to meteorological conditions,Chengdu, with relative warm weather and low wind speed, is favorable to O_3 formation.Part of the O_3 in Chengdu may be transported from the downtown area. In O_3 episodes,the average mixing ratios of NO_2 and O_3 were 20.20 ppbv and 47.95 ppbv, respectively. In non-O_3 episodes, the average mixing ratios of NO_2 and O_3 were 16.38 ppbv and 35.15 ppbv,respectively. The average mixing ratio of total VOCs(TVOCs) was 40.29 ppbv in non-O_3 episodes, which was lower than that in O_3 episodes(53.19 ppbv). Alkenes comprised51.7% of the total O_3 formation potential(OFP) in Chengdu, followed by aromatics which accounted for 24.2%. Ethylene, trans-pentene, propene, and BTEX(benzene, ethylbenzene,toluene, m/p-xylene, o-xylene) were also major contributors to the OFP in Chengdu. In O_3 episodes, intensive secondary formations were observed during the campaign. Oxygenated VOCs(OVOCs), such as acetone, Methylethylketone(MEK), and Methylvinylketone(MVK)were abundant. Isoprene rapidly converted to MVK and Methacrolein(MACR) during O_3 episodes. Acetone was mainly the oxidant of C3-C5 hydrocarbons. | Yuanyuan Deng Jing Li Yaqi Li Rongrong Wu Shaodong Xie | 2019 | Journal of Environmental Sciences2019，31，1： | 29 |
| 4 | Exploration of the formation mechanism and source attribution of ambient ozone in Chongqing with an observation-based model显示文摘An intensive field campaign was conducted in Chongqing during the summer of 2015 to explore the formation mechanisms of ozone pollution. The sources of ozone, the local production rates, and the controlling factors, as well as key species of volatile organic compounds(VOCs), were quantified by integrating a local ozone budget analysis, calculations of the relative incremental reactivity, and an empirical kinetic model approach. It was found that the potential for rapid local ozone formation exists in Chongqing. During ozone pollution episodes, the ozone production rates were found to be high at the upwind station Nan Quan, the urban station Chao Zhan, and the downwind station Jin-Yun Shan. The average local ozone production rate was 30×10^(-9) V/V h^(-1) and the daily integration of the produced ozone was greater than 180×10^(-9) V/V. High ozone concentrations were associated with urban and downwind air masses. At most sites, the local ozone production was VOC-limited and the key species were aromatics and alkene, which originated mainly from vehicles and solvent usage. In addition, the air masses at the northwestern rural sites were NO_x-limited and the local ozone production rates were significantly higher during the pollution episodes due to the increased NOx concentrations. In summary, the ozone abatement strategies of Chongqing should be focused on the mitigation of VOCs. Nevertheless, a reduction in NO_x is also beneficial for reducing the regional ozone peak values in Chongqing and the surrounding areas. | SU Rong LU KeDing YU JiaYan TAN ZhaoFeng JIANG MeiQing LI Jing XIE ShaoDong WU YuSheng ZENG LiMin ZHAI ChongZhi ZHANG YuanHang | 2018 | Science China Earth Sciences2018，61，1： | 24 |
| 5 | Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products显示文摘With the objective of reducing the large uncertainties in the estimations of emissions from crop residue open burning, an improved method for establishing emission inventories of crop residue open burning at a high spatial resolution of 0.25°× 0.25° and a temporal resolution of1 month was established based on the moderate resolution imaging spectroradiometer(MODIS) Thermal Anomalies/Fire Daily Level3 Global Product(MOD/MYD14A1). Agriculture mechanization ratios and regional crop-specific grain-to-straw ratios were introduced to improve the accuracy of related activity data. Locally observed emission factors were used to calculate the primary pollutant emissions. MODIS satellite data were modified by combining them with county-level agricultural statistical data, which reduced the influence of missing fire counts caused by their small size and cloud cover. The annual emissions of CO_2, CO, CH_4,nonmethane volatile organic compounds(NMVOCs), N_2O, NO_x, NH_3, SO_2, fine particles(PM2.5),organic carbon(OC), and black carbon(BC) were 150.40, 6.70, 0.51, 0.88, 0.01, 0.13, 0.07, 0.43,1.09, 0.34, and 0.06 Tg, respectively, in 2012. Crop residue open burning emissions displayed typical seasonal and spatial variation. The highest emission regions were the Yellow-Huai River and Yangtse-Huai River areas, and the monthly emissions were highest in June(37%).Uncertainties in the emission estimates, measured as 95% confidence intervals, range from a low of within ±126% for N_2O to a high of within ± 169% for NH_3. | Jing Li Yu Bo Shaodong Xie | 2016 | Journal of Environmental Sciences2016，28，6： | 19 |
| 6 | Spatiotemporal pattern and regional characteristics of visibility in China during 1976–2010显示文摘Degradation in visibility occurs extensively across China,creating the urgent need to better understand visibility patterns and characteristics in China.Using daily observation data from the U.S.National Climatic Data Center(NCDC)during 1976–2010,the spatial distribution and temporal trends of visibility in China,as well as seasonal and regional characteristics,were determined.The distribution of visibility was characterized by a longitudinal gradient between west and east China.The northwest of China generally experienced consistent high visibility of[20 km,while central and eastern China experienced visibility degradation and increase in haziness.The 133stations with significant downward trends in visibility were clustered around central-east China and the average reduction rate was-1.65 km/decade(from 18.5 km).The96 stations with increasing trends of visibility were mostly on the Qinghai–Tibet Plateau and Xinjiang and were closely related to a reduction in local sand storms.The average visibility in 12 key regions in China varied between9.9–17.8 km(except for 23.9 km in Urumqi),which was lower than the national average of 18.7 km.The Taiyuan–Hohhot,Guanzhong,Yangtze River Delta,Pearl River Delta and Fuzhou–Xiamen areas all encountered significant decreases in visibility,while minor increases were observed in Beijing–Tianjin–Hebei and the Cheng-Yu region.At most stations,the worst visibility was measured in winter,but the season with best visibility varied between regions.A comparison of visibility trends with the emission trends of various pollutants revealed that SO2emissions dominated the visibility degradation in eastern Chinawith NOxand volatile organic compounds playing ascending roles during the 2000s. | Yuan Chen Shaodong Xie | 2014 | Chinese Science Bulletin2014，59，24： | 4 |
| 7 | Spatial distribution of black carbon emissions in China显示文摘Based on the official statistics,locally measured emission factors,and the vehicular emission factor model most suitable for China,we developed a black carbon(BC)emission inventory for 2008 in China and at a spatial resolution of 0.5°×0.5°.In 2008,the total BC emissions in China were 1604.94 Gg.Industry and the residential sector were the dominant contributors,estimated at 695.03Gg and 636.02 Gg of BC,respectively.Together,these two source types contributed 82.9% of the total emissions.Emissions from transportation were 194.63 Gg,accounting for 12.1% of the total.Since emission contributions from different sectors showed significant spatial diversity among the 31 administrative districts,we divided the districts into four categories:industry contribution district,residential contribution district,industry and residential contribution district,and transportation contribution district.As for energy consumption,coal and biofuel contributed 51.0% and 32.2%,respectively,of the total emissions.Spatially,BC emissions in China were unevenly distributed,higher in the east and lower in the west,corresponding to regional economic development and rural population density.High emission districts,covering 5.7% of the territory,contributed 41.2% of the total emissions.Shanxi,Hebei,Shandong,Henan,and Sichuan were the largest contributors to national BC emissions. | ZHANG Nan QIN Yue XIE ShaoDong | 2013 | Chinese Science Bulletin2013，58，31： | 4 |
| 8 | Choice of control of sulfur and/or nitrogen deposition based on critical loads显示文摘In order to design more reasonable and effective acid deposition control policies,the critical load function (CLF) was established and a two-dimensional critical load function figure was drawn based on the steady-state mass balance (SMB) method.The figure could be divided into five different regions:critical load region (non-control region),S deposition control region,N deposition control region,S and N deposition selective control region and S and N deposition simultaneous control region.According to the region into which the deposition point fell,we could choose the corresponding control approach.With further consideration of high base cation deposition (BCdep) in China,a three-dimensional critical load function surface could be drawn by taking BCdep as a variable.As a case study,critical loads of sulfur and nitrogen for the lateritic red earth in Guangzhou were calculated with current deposition data,vegetation data and soil data obtained by field sampling and laboratory analysis.Results showed that the current deposition point fell into the critical load region and a 75% reduction in BCdep caused the deposition point falling into S deposition control region,which indicated the importance of controlling sulfur deposition.While taking the critical load of nutrient nitrogen into account,the current deposition point fell into N deposition control region and with the reduction of BCdep,the deposition point entered S and N deposition simultaneous control region,which meant sulfur and nitrogen deposition should be controlled at the same time. | ZHANG YiHua XIE ShaoDong | 2010 | Chinese Science Bulletin2010，55，6： | 3 |
| 9 | Investigation of the effects of acid rain on the deterioration of cement concrete using accelerated tests established in laboratory显示文摘 | Shaodong Xie Li Qi Ding Zhou | 2004 | Atmospheric Environment2004，，27： | 2 |
| 10 | Assessment of Critical Loads in Liuzhou, China Using Static and Dynamic Models 显示文摘 | Shaodong Xie Jiming Hao Zhongping Zhou | 1995 | Water Air and Soil Pollution1995，85，4： | 1 |
| 11 | Source apportionment of PM2.5 in Beijing by positive matrix factorization显示文摘 | Yu Song Yuanhang Zhang Shaodong Xie Limin Zeng Mei Zheng Lynn G. Salmon Min Shao Sjaak Slanina | 2005 | Atmospheric Environment2005，，8： | 1 |
| 12 | Characteristics of air pollution in Beijing during sand-dust storm periods显示文摘 | Shaodong Xie Yuanhang Zhang Li Qi Xiaoyan Tang | 2005 | Water Air & Soil Pollution: Focus (-)2005，，3： | 1 |
| 13 | Estimation of vehicular emission inventories in China from 1980 to 2005 显示文摘 | Hao Cai Shaodong Xie | 2007 | Atomosphoric environment2007，41，： | 1 |
| 14 | Estimation of vehicular emission inventories in China from 1980 to 2005 显示文摘 | Hao Cai Shaodong Xie | 2007 | Atomosphoric environment2007，41，： | 1 |
| 15 | Assessment of traffic-related air pollution in the urban streets before and during the 2008 Beijing Olympic Games traffic control period显示文摘 | Ting Wang Shaodong Xie | 2009 | Atmospheric Environment2009，，35： | 1 |
| 16 | Characteristics of PM10,SO2, NOx and O3 in ambient air during the dust storm period in Beijing显示文摘 | XIE Shaodong YU Tong ZHANG Yuanhang | 2005 | Sci Total Environ2005，335，123： | 1 |
| 17 | Spatial and temporal varia- tion of historical anthropogenic NMVOCs emission inventories in China显示文摘 | BO Yu CAI Hao XIE Shaodong | 2008 | Atmospheric Chemistry and Physics2008，8，23： | 1 |
| 18 | Investigation of the effects of acid rain on the deterioration of cement concrete using accelerated tests es- tablished in laboratory 显示文摘 | XIE Shaodong LI Qi ZHOU Ding | 2004 | Atmosp Envir2004，38，27： | 1 |
| 19 | Investigation of the effects of acid rain on the deterioration of cement concrete using accelerated tests established in laboratory显示文摘 | Shaodong Xie Li Qi Ding Zhou | 2004 | Atmospheric Environment2004，38，27： | 1 |
| 20 | Traffic-related air pollution modeling during the 2008 Beijing Olympic Games: The effects of an odd-even day traffic restriction scheme 显示文摘 | Cai Hao Xie Shaodong | 2011 | Science of the Total Environment2011，409，： | 1 |
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