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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 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 收藏  |  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 收藏  |  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 收藏  |  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. 收藏  |  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 收藏  |  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