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Morpho-chemical characterization and source apportionment of potentially toxic metal(oid)s from school dust of second largest populous city of Pakistan 期刊论文
ENVIRONMENTAL RESEARCH, 2021, 卷号: 196, 页码: 10
作者:  Rehman, Abdul;  Liu, Guijian;  Yousaf, Balal;  Ahmed, Rafay;  Rashid, Muhammad Saqib;  Irshad, Samina;  Shakoor, Awais;  Farooq, Muhammad Raza
收藏  |  浏览/下载：388/0  |  提交时间：2021/12/06
Geo-accumulation index  Ecological risk assessment  metal(oid)s speciation  Multivariate statistical analysis  School indoor pollution  
Prediction of the confirmed cases and deaths of global COVID-19 using artificial intelligence 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 11
作者:  Guo, Qingchun;  He, Zhenfang
收藏  |  浏览/下载：272/0  |  提交时间：2021/05/08
SARS-CoV-2  COVID-19  Epidemic  Infected cases  Deaths  Artificial intelligence  
Qinghai spruce (Picea crassifolia) and Chinese pine (Pinus tabuliformis) show high vulnerability and similar resilience to early-growing-season drought in the Helan Mountains, China 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 110, 页码: 12
作者:  Zeng, Xiaomin;  Wei, Chunfei;  Liu, Xiaohong;  Zhang, Lingnan
收藏  |  浏览/下载：454/0  |  提交时间：2020/06/05
Vaganov-Shashkin model  Tree rings  Drought  Semi-arid Helan mountains  Soil moisture  Picea crassifolia  Pinus tabuliformis  
Spatial modeling of archaeological site locations based on summed probability distributions and hot-spot analyses: A case study from the Three Kingdoms Period, Korea 期刊论文
JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2020, 卷号: 113, 页码: 9
作者:  Wright, David K.;  Kim, Junkyu;  Park, Jiyoung;  Yang, Jiwon;  Kim, Jangsuk
收藏  |  浏览/下载：267/0  |  提交时间：2020/06/03
Temporal-spatial modeling of archaeological sites  SPDs of radiocarbon ages  Ripley's K  Getis-Ord Gi*  Protohistorical period of Korea  
Deep learning for multi-year ENSO forecasts 期刊论文
NATURE, 2019, 卷号: 573, 期号: 7775, 页码: 568-+
作者:  Ham, Yoo-Geun;  Kim, Jeong-Hwan;  Luo, Jing-Jia
收藏  |  浏览/下载：323/0  |  提交时间：2020/06/05
Response Characteristics of Chinese Pine (Pinus tabulaeformis Carr.) Radial Growth to Climate and Drought Variability Reconstruction in Western Liaoning, Northeast China 期刊论文
FORESTS, 2019, 卷号: 10, 期号: 9, 页码: 15
作者:  Liu, Na;  Bao, Guang;  Bao, Ming
收藏  |  浏览/下载：307/0  |  提交时间：2020/06/05
tree rings  scPDSI  Asian summer monsoon  PDO  ENSO  aerosol  
Regional response of winter snow cover over the Northern Eurasia to late autumn Arctic sea ice and associated mechanism 期刊论文
ATMOSPHERIC RESEARCH, 2019, 卷号: 222, 页码: 100-113
作者:  Xu, B (Xu, Bei);  Chen, HS (Chen, Haishan);  Gao, CJ (Gao, Chujie);  Zhou, BT (Zhou, Botao);  Sun, SL (Sun, Shanlei);  Zhu, SG (Zhu, Siguang)
Adobe PDF(6907Kb)  |  收藏  |  浏览/下载：483/0  |  提交时间：2019/05/24
Eurasian snow cover  Arctic Sea Ice  Arctic oscillation  Regional response  
Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 669, 页码: 493-504
作者:  Wang, LL (Wang, Linlin);  Wang, H (Wang, Hong);  Liu, JK (Liu, Junkai);  Gao, ZQ (Gao, Zhiqiu);  Yang, YJ (Yang, Yuanjian);  Zhang, XY (Zhang, Xiaoye);  Li, YB (Li, Yubin);  Huang, M (Huang, Meng)
Adobe PDF(6363Kb)  |  收藏  |  浏览/下载：518/0  |  提交时间：2019/05/24
PM2.5  Boundary layer structure  Mixing turbulence  Near-surface layer  Beijing  
Petroleum contamination evaluation and bacterial community distribution in a historic oilfield located in loess plateau in China 期刊论文
APPLIED SOIL ECOLOGY, 2019, 卷号: 136, 页码: 30-42
作者:  Gao, S (Gao, Sha);  Liang, JD (Liang, Jidong);  Teng, TT (Teng, Tingting);  Zhang, M (Zhang, Man)
Adobe PDF(2500Kb)  |  收藏  |  浏览/下载：376/0  |  提交时间：2019/02/28
Petroleum contamination  Petroleum fingerprinting  16Sr RNA sequencing  Bacterial community  
Similarities and differences in PM10 and PM2.5 concentrations, chemical compositions and sources in Hefei City, China 期刊论文
CHEMOSPHERE, 2019, 卷号: 220, 页码: 760-765
作者:  Xue, HQ (Xue, Huaqin);  Liu, GJ (Liu, Guijian);  Zhang, H (Zhang, Hong);  Hu, RY (Hu, Ruoyu);  Wang, X (Wang, Xin)
Adobe PDF(1109Kb)  |  收藏  |  浏览/下载：390/0  |  提交时间：2019/03/01
Elemental composition  PM2.5  PM10  Sources