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A Comparison of Different Preservation Methods for Nitrogen Isotopes of Soil Extractable NO3(-) 期刊论文
PEDOSPHERE, 2018, 卷号: 28, 期号: 6, 页码: 943-951
作者:  Liu Junchi;  Liu Weiguo;  Hu Jing
收藏  |  浏览/下载：327/0  |  提交时间：2020/06/23
air-drying  freezing  ion exchange  isotopic fractionation  nitrogen isotope tracing  soil extraction  soil storage  
Rapid determination of I-129 in large-volume water samples using rotary evaporation preconcentration and accelerator mass spectrometry measurement 期刊论文
JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2018, 卷号: 318, 期号: 3, 页码: 2355-2361
作者:  Li, Jing;  Zhang, Luyuan;  Hou, Xiaolin;  Cheng, Peng;  Chen, Ning;  Yu, Xia;  Liu, Qi;  Fan, Yukun
收藏  |  浏览/下载：327/0  |  提交时间：2020/06/23
I-129  Large-volume  Water samples  Rotary evaporation  Accelerator mass spectrometry  
Effects of source emission and window opening on winter indoor particle concentrations in the severe cold region of China 期刊论文
BUILDING AND ENVIRONMENT, 2018, 卷号: 144, 页码: 23-33
作者:  Xiao, Ye;  Wang, Lina;  Yu, Mingzhou;  Liu, Huan;  Liu, Jing
收藏  |  浏览/下载：293/0  |  提交时间：2020/06/23
Particle concentration  Indoor source  Window opening  Decay rate  
Contrasting response of coexisting plant's water-use patterns to experimental precipitation manipulation in an alpine grassland community of Qinghai Lake watershed, China 期刊论文
PLOS ONE, 2018, 卷号: 13, 期号: 4
作者:  Wu, Huawu;  Li, Jing;  Li, Xiao-Yan;  He, Bin;  Liu, Jinzhao;  Jiang, Zhiyun;  Zhang, Cicheng
Adobe PDF(6949Kb)  |  收藏  |  浏览/下载：284/0  |  提交时间：2018/09/21
Estimation of residential fine particulate matter infiltration inShanghai, China 期刊论文
Environmental Pollution, 2018, 卷号: 233, 期号: 2018, 页码: 494-500
作者:  Zhou, XD(Zhou, Xiaodan);  Cai, J(Cai, Jing);  Zhao, Y(Zhao, Yan);  Chen, RJ(Chen, Renjie);  Wang, CC(Wang, Cuicui);  Zhao, A(Zhao,Ang);  Yang,CY(Yang,Changyuan);  Li,HC(Li,Huichu);  Liu,SX(Liu,Suixin);  Cao,JJ(Cao,Junji);  Kan,HD(Kan,Haidong);  Xu,HH(Xu,Huihui);  Kan,Haidong,Xu,Huihui
Adobe PDF(425Kb)  |  收藏  |  浏览/下载：290/1  |  提交时间：2018/09/28
Pm2.5 Exposure  Infiltration Factor  Model Prediction  Seasonal Variation