Liuyi Zhang
Chinese Academy of Sciences
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Featured researches published by Liuyi Zhang.
Science of The Total Environment | 2018
Qiangmei Leng; Jian Cui; Fengwu Zhou; Ke Du; Liuyi Zhang; Chuan Fu; Yuan Liu; Huanbo Wang; Guangming Shi; Min Gao; Fumo Yang; Dongyi He
To quantify and compare atmospheric nitrogen (N) deposition and its N isotopic ratio are critical for constraining N sources and effective reduction of reactive N emissions. In this study, a total of 223 rainwater samples were collected by wet-only auto-samplers, and wet-only deposition and isotopic composition (δ15N) of reduced (NH4+-N) and oxidized (NO3--N) N were measured at three typical mountain sites, including an urban (Wanzhou, WZ), a town (Gaoyang, GY) and a rural (Dade, DD) site in Chongqing, southwestern China in 2016. The wet-only inorganic N deposition (DIN, sum of NO3--N and NH4+-N) were 17.50, 8.63 and 12.16kgNha-1yr-1 at WZ, GY and DD site, respectively. Annual δ15N-NH4+ values of rainwaters were negative at the urban site (-3.12±3.21‰, WZ) and positive at both town and rural site (0.65±12.51‰, GY; 2.16±6.11‰, DD). Annual δ15N-NO3- values, on the contrary, were positive at the urban site (0.33±7.87‰, WZ) and negative at both town and rural site (-5.59±2.20‰, GY; -0.39±8.89‰, DD). These results reveal the urban site was wet-only DIN hotspot and had a different N source compared with the town-rural site in the mountain area. Moreover, precipitation DIN had a potentially negative risk on both aquatic and forest ecosystems.
Science of The Total Environment | 2018
Junjie Lin; Shuai Zhang; Dan Liu; Zhiguo Yu; Liuyi Zhang; Jian Cui; Kun Xie; Tingzhen Li; Chuan Fu
Ecological decline in the water level fluctuating (WLF) zone of the Three Gorges Reservoir (TGR) has been well established over the past decades. However, the effect of heavy metal fractions present in the sediment and their potential ecological risk under the anti-seasonal hydrological regime are still unclear. The Pengxi River is a tributary of the Yangtze River and it has a typical annual water level fluctuation ranging from 145 to 175m above sea level. The current study examined heavy metal fractions in sediments containing Cr, Cd, Cu, Pb and Mn collected along the WLF zone using the Tessier sequential extraction scheme. The total organic carbon (TC), total nitrogen (TN), carbon/nitrogen ratio (C/N), pH, particle size composition and content of nitrate (NO3--N), and ammonium (NH4+-N) differed dramatically among the sampled altitudes and depths and was significantly correlated with the flooding time of the WLF zone. At lower altitudes of the WLF zone, the amounts of the exchangeable (EXC), carbonate-bound (CA) and total heavy metal contents of the surface sediment were much higher compared to those of higher altitudes of the WLF zone. The risk assessment code (RAC) for Cd and Mn showed an opposite trend to that of Cr, Cu, and Pb and mainly depended on the organic matter-bound fraction (OM). The modified RAC (mRAC) indicated a very high potential adverse effect for the whole WLF zone, although the risk value was much lower at the lower altitudes and upper depths of the WLF zone. Our results showed that the positive response of the loosely bound fractions (LOS) of heavy metals to the drought-rewetting (DRW) process minimizes the risk of heavy metals in the WLF zone sediment.
Environmental Pollution | 2018
Jian Cui; Fengwu Zhou; Min Gao; Liuyi Zhang; Leiming Zhang; Ke Du; Qiangmei Leng; Yuanzhu Zhang; Dongyi He; Fumo Yang; Andy Chan
Six different approaches are applied in the present study to apportion the sources of precipitation nitrogen making use of precipitation data of dissolved inorganic nitrogen (DIN, including NO3- and NH4+), dissolved organic nitrogen (DON) and δ15N signatures of DIN collected at six sampling sites in the mountain region of Southwest China. These approaches include one quantitative approach running a Bayesian isotope mixing model (SIAR model) and five qualitative approaches based on in-situ survey (ISS), ratio of NH4+/NO3- (RN), principal component analysis (PCA), canonical-correlation analysis (CCA) and stable isotope approach (SIA). Biomass burning, coal combustion and mobile exhausts in the mountain region are identified as major sources for precipitation DIN while biomass burning and volatilization sources such as animal husbandries are major ones for DON. SIAR model results suggest that mobile exhausts, biomass burning and coal combustion contributed 25.1 ± 14.0%, 26.0 ± 14.1% and 27.0 ± 12.6%, respectively, to NO3- on the regional scale. Higher contributions of both biomass burning and coal combustion appeared at rural and urban sites with a significant difference between Houba (rural) and the wetland site (p < 0.05). The RN method fails to properly identify sources of DIN, the ISS and SIA approach only respectively identifies DON and DIN sources, the PCA only tracks source types for precipitation N, while the CCA identify sources of both DIN and DON in precipitation. SIAR quantified the contributions of major sources to precipitation NO3- but failed for precipitation NH4+ and DON. It is recommended to use ISS and SIAR in combination with one or more approaches from PCA, CCA and SIA to apportion precipitation NO3- sources. As for apportioning precipitation NH4+ sources, more knowledge is needed for local 15N databases of NH3 and DON and 15N fractional mechanisms among gaseous, liquid and particulate surfaces in this mountain region and similar environments.
Journal of Chemistry | 2018
Liuyi Zhang; Baoqing Qiao; Huanbo Wang; Mi Tian; Jian Cui; Chuan Fu; Yimin Huang; Fumo Yang
Major water-soluble ions were analyzed for two-year precipitation samples in Wanzhou, a typical urban site of the hinterland of Chinese Three Gorges Reservoir. The pH values of the precipitation were in the range of 4.0 to 8.3, and the volume-weighted mean (VWM) value was 5.0. The concentration order of anions and cations was as follows: and , respectively. Good correlations were found between and , and Ca2
Acta Oceanologica Sinica | 2005
Liuyi Zhang; J Sun; Dy Liu; Zs Yu
Environmental Pollution | 2016
Huanbo Wang; Fumo Yang; Guangming Shi; Mi Tian; Leiming Zhang; Liuyi Zhang; Chuan Fu
Atmosphere | 2015
Liuyi Zhang; Yimin Huang; Yuan Liu; Fumo Yang; Guoxin Lan; Chuan Fu; Jun Wang
Spectroscopy and Spectral Analysis | 2014
Liuyi Zhang; Fu C; Yang Fm; Yang Jd; Huang Ym; Q. Zhang; Wu By
Environmental Pollution | 2018
Huanbo Wang; Guangming Shi; Mi Tian; Yang Chen; Baoqing Qiao; Liuyi Zhang; Fumo Yang; Leiming Zhang; Qiong Luo
Spectroscopy and Spectral Analysis | 2006
Hu Lp; Yan-Mei Li; Liuyi Zhang; Lin Zhang; Junde Wang