Changlin Zhan
Chinese Academy of Sciences
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Featured researches published by Changlin Zhan.
Science of The Total Environment | 2013
Changlin Zhan; Junji Cao; Yongming Han; Shaopeng Huang; Xiaming Tu; Ping Wang; Zhisheng An
Concentrations of soil organic carbon (SOC), black carbon (BC), char, and soot in topsoils (0-20 cm) and vertical soil profiles (0-100 cm) from the Chinese Loess Plateau (CLP) were investigated. Objectives of the study were to establish the spatial distributions and estimate the sequestrations of these substances. The SOC, BC, char and soot concentrations were higher in the eastern and southeastern parts of the plateau and lower in the north, which is consistent with the patterns of economic development and energy consumption. The highest average SOC concentration was found in the clayey loess zone, followed by the loess and sandy loess zones. Similar trends were observed for BC, char and soot, suggesting interactions with clay and silt are potentially important influences on OC and BC. The SOC contents in topsoils varied from 0.31 to 51.81 g kg(-1), with a mean value of 6.54 g kg(-1), while BC and char concentrations were 0.02 to 5.5 g kg(-1) and 0.003 to 4.19 g kg(-1), respectively, and soot ranged from 0.01 to 1.32 g kg(-1). Unlike SOC, both BC and char decreased with soil depth, whereas soot showed little variation with depth. BC and char were correlated in the topsoils, and both correlated moderately well with SOC (R(2)=0.60) and soot (R(2)=0.53). The SOC pools sequestered in the 0 to 20 cm and 0 to 100 cm depths were estimated to be 0.741 and 3.63 Pg, respectively, and the BC pools sequestered in the 0 to 20 cm and 0 to 100 cm depths were 0.073 and 0.456 Pg, respectively. Therefore the quantity of carbon stored in the sediments of the CLP evidently exceeds 10(9) tons. The char contained in the upper 20 cm layer was 0.053 Pg, which amounted to 72.5% of the BC in that layer.
PLOS ONE | 2013
Yongming Han; Antony Chen; Junji Cao; Kochy Fung; Fai Ho; B.Z. Yan; Changlin Zhan; Suixin Liu; C. Wei; Zhisheng An
Quantifying elemental carbon (EC) content in geological samples is challenging due to interferences of crustal, salt, and organic material. Thermal/optical analysis, combined with acid pretreatment, represents a feasible approach. However, the consistency of various thermal/optical analysis protocols for this type of samples has never been examined. In this study, urban street dust and soil samples from Baoji, China were pretreated with acids and analyzed with four thermal/optical protocols to investigate how analytical conditions and optical correction affect EC measurement. The EC values measured with reflectance correction (ECR) were found always higher and less sensitive to temperature program than the EC values measured with transmittance correction (ECT). A high-temperature method with extended heating times (STN120) showed the highest ECT/ECR ratio (0.86) while a low-temperature protocol (IMPROVE-550), with heating time adjusted for sample loading, showed the lowest (0.53). STN ECT was higher than IMPROVE ECT, in contrast to results from aerosol samples. A higher peak inert-mode temperature and extended heating times can elevate ECT/ECR ratios for pretreated geological samples by promoting pyrolyzed organic carbon (PyOC) removal over EC under trace levels of oxygen. Considering that PyOC within filter increases ECR while decreases ECT from the actual EC levels, simultaneous ECR and ECT measurements would constrain the range of EC loading and provide information on method performance. Further testing with standard reference materials of common environmental matrices supports the findings. Char and soot fractions of EC can be further separated using the IMPROVE protocol. The char/soot ratio was lower in street dusts (2.2 on average) than in soils (5.2 on average), most likely reflecting motor vehicle emissions. The soot concentrations agreed with EC from CTO-375, a pure thermal method.
Chemosphere | 2013
Changlin Zhan; Yongming Han; Junji Cao; C. Wei; Jiaquan Zhang; Zhisheng An
Three techniques were used to measure black carbon (BC) in samples from Chinese loess-paleosol sequences. The results obtained by (1) chemo-thermal oxidation (CTO, performed two ways), (2) acid dichromate oxidation (Cr2O7), and (3) thermal-optical reflectance (TOR) were intercompared because prior studies have shown that the methods can yield disparate results. BC concentrations did vary among the methods, most likely because they measured different components of the BC continuum, but the high-temperature BC (soot) determined by CTO was correlated with the BC and soot obtained by TOR. The CTO and TOR methods both yielded statistically significant linear relationships for loess and lake sediments that had incremental additions of a standard (SRM-1649a). The results also showed that charred material was more abundant in these test sediments than soot carbon. Data for BC in Luochuan loess generated using TOR showed a trend similar to that of magnetic susceptibility, that is, high BC and large susceptibilities during the last interglacial and low values for both variables in the last glacial. The results thus indicate that the TOR method is well suited for studies of sedimentary materials and that more biomass burned during the last interglacial than in the last glacial.
Chemosphere | 2015
C. Wei; Benjamin A. Musa Bandowe; Yongming Han; Junji Cao; Changlin Zhan; Wolfgang Wilcke
Atmospheric Research | 2014
Shun Xiao; Qidong Wang; J. J. Cao; R.-J. Huang; W.D. Chen; Yongming Han; Hua Xu; Shuang-Shuang Liu; Yushu Zhou; Peng Wang; Junyan Zhang; Changlin Zhan
Environmental Geochemistry and Health | 2015
Jiaquan Zhang; Chengkai Qu; Shihua Qi; Junji Cao; Changlin Zhan; Xinli Xing; Yulun Xiao; Jingru Zheng; Wensheng Xiao
Aerosol and Air Quality Research | 2015
Ping Wang; Junji Cao; Xuexi Tie; Gehui Wang; Guohui Li; Tafeng Hu; Rujin Huang; Changlin Zhan; Yaoting Wu; Yunsheng Xu; Gongdi Xu; Youzhi Zhao; Wenci Ding; Huikun Liu
Particuology | 2015
Junji Cao; Chongshu Zhu; Kin Fai Ho; Yongming Han; Zhenxing Shen; Changlin Zhan; Jiaquan Zhang
Aerosol and Air Quality Research | 2016
Changlin Zhan; Jiaquan Zhang; Junji Cao; Yongming Han; Ping Wang; Jingru Zheng; Ruizhen Yao; Hongxia Liu; Hua Li; Wensheng Xiao
Aerosol and Air Quality Research | 2016
Jiaquan Zhang; Changlin Zhan; Hongxia Liu; Ting Liu; Ruizhen Yao; Tianpeng Hu; Wensheng Xiao; Xinli Xing; Hongmei Xu; Junji Cao