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地理科学与资源研究所 [1]
新疆生态与地理研究所 [1]
中南大学 [1]
武汉大学 [1]
烟台海岸带研究所 [1]
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期刊论文 [3]
SCI/SSCI论文 [1]
会议论文 [1]
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2019 [2]
2018 [1]
2013 [1]
2008 [1]
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Analysis of evolution of seismic components induced by a vertical blasthole
期刊论文
ROCK MECHANICS AND ROCK ENGINEERING, 2019, 卷号: 52, 期号: 6
作者:
Gao, Qidong
;
Lu, Wenbo
;
Yang, Zhaowei
;
Yan, Peng
;
Chen, Ming
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
Blast vibration
Vertical blasthole
Seismic components
Evolution laws
Influence areas
黄海桑沟湾水体及沉积物中微塑料污染特征研究
期刊论文
海洋环境科学, 2019, 卷号: 38, 期号: 2, 页码: 198-204
作者:
熊宽旭
;
赵新月
;
周倩
;
付传城
;
涂晨
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  |  
浏览/下载:38/0
  |  
提交时间:2020/06/17
桑沟湾
微塑料
潮滩
丰度
空间分布
Sanggou bay
microplastics
tidal flats
abundance
spatial distribution
In recent years,research on microplastics pollution in the marine environment has been increasing,but studies on microplastics in water bodies and sediments of the bay under the influence of high-intensity human activities are still rarely reported. In this study,the pollution characteristics of microplastics in the wayer and sediments of Sanggou bay were investigated in December 2017,after the harvest of large-scale aquaculture,with the aim to study the effects of aquaculture activities and hydrodynamics on pollution characteristics and spatial distribution of microplastics in the bay. The results showed that the types of microplastics in the water and sediments of Sanggou bay were mainly fibers,fragments,films,foams and particles. The microplastic abundances in the water and sediments were 1.8 ~ 31.2 N/L,31.2 ~ 1246.8 N/kg,respectively. The average particle sizes of microplastics in water and sediments were 0.51 0.20 mm and 1.54 1.02 mm,respectively. The results of spatial distribution of microplastics in Sanggou bay showed that the high abundance area mainly appears in the inshore waters,and the abundance of microplastics tends to decrease from the inner areas of estuary to the outshore areas. The heterogeneity of microplastic abundance and spatial distribution in Sanggou bay is mainly affected by human activities such as aquaculture,living and shipping,as well as hydrodynamics. In the future,fine sampling and analysis are needed to fully understand the temporal and spatial distribution of microplastics pollution in the bay areas.
Sleep quality and covariates as predictors of pain intensity among the general population in rural China
期刊论文
Journal of Pain Research, 2018, 卷号: 11, 页码: 857-866
作者:
Liu, Xiao-kun
;
Xiao, Shui-yuan*
;
Zhou, Liang
;
Hu, Mi
;
Zhou, Wei
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/03
This cross-sectional survey included a total of 2052 adults from rural areas in Liuyang
Hunan Province
recruited through random multistage sampling. The distributions of sleep quality and pain prevalence among the participants over a 4-week period were described. Because of multicollinearity among variables
the influence of self-rated sleep quality and psychosocial covariates on pain intensity was explored using a ridge regression model.
Mining spatial information to investigate the evolution of karst rocky desertification and its human driving forces in Changshun, China
SCI/SSCI论文
2013
Xu E. Q.
;
Zhang H. Q.
;
Li M. X.
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  |  
浏览/下载:26/0
  |  
提交时间:2014/12/24
Karst rocky desertification
Human driving forces
Fine scale
Spatial
technique
Standard coefficient of influence
guizhou province
southwestern china
county
areas
land
environment
region
zone
Temporal and spatial characteristics of wet-dry climate variation in the northern slope of Tianshan Mountains, Xinjiang
会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Guangzhou, China, 2008
Yu
;
Meiyan1
;
2
;
Chenxi
;
C.1
;
Bao
;
Anming1
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  |  
浏览/下载:18/0
  |  
提交时间:2011/08/23
Geographic information systems - Landforms - Time series - Wavelet analysis - Wavelet transforms - Abrupt changes - Climate variation - Correlation analysis - Desert areas - Different time scale - Enso - Influence degrees - Mexican hat wavelets - Multi-time scale - Northern slope of tianshan mountains - Periodic oscillations - Rainfall datum - Regional characteristics - Research results - Temporal and spatial characteristics - Xinjiang
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