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21.
Xiang‐Jun Liu Zhong‐Ping Lai 《Boreas: An International Journal of Quaternary Research》2013,42(2):333-341
Sand wedges and ice‐wedge casts in the Qinghai Lake area on the northeastern Qinghai‐Tibetan Plateau (QTP) occur within alluvial gravel or river terrace deposits. In this study, we report the results of quartz Optically Stimulated Luminescence (OSL) dating of the infill of five relict sand wedges and one ice‐wedge cast. Combining our dating results with previously published luminescence ages of permafrost wedges in the Qinghai Lake area, we show that sand/ice wedges formed at c. 62 ka, c. 45 ka and between 30 and 15 ka, and that the mean annual air temperature (MAAT) was depressed by at least ~3°C relative to present during the sand/ice‐wedge formation periods. This new work is partially corroborated by post‐LGM proxy records from lakes and aeolian deposits reported from the northeastern QTP. It also significantly extends the palaeoenvironmental record in the region in the period before the LGM, when other proxy records are rare, allowing a better understanding of the palaeoenvironmental conditions on the northeastern QTP. 相似文献
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23.
不同树龄桐花树茎上白条地藤壶分布特征的研究 总被引:2,自引:0,他引:2
研究了广西英罗港红树林区向海林带不同树龄的桐花树茎上白条地藤壶的分布特征。结果表明,白条地藤壶在茎上的附着高度(h)随树龄和树高增大而增大。在最大树龄17龄植株上平均达到182cm,此高度为潮高约512cm海水才能浸及,在一年中约有将近90%的时间暴露在空气中。附着高度(h)与树高(H)比值h/H以5龄树最大,达91.9%。树层最大密度达46600Ind/m^2,最小为172Ind/m^2。在同一树龄的不同树层,密度表现为先随树高增大逐渐增大,达到最大密度后又下降。在不同树龄的同一树层,密度高低变化,分布一般出现多个峰。白条地藤壶最适宜附着和生长在桐花树茎上100-120cm树层(浸及此树层的海水潮高约为430-450cm)。树层最大生物量为1719.05g/m^2,最小为5.39g/m^2。生物量分布与密度的相似。 相似文献
24.
25.
梭鱼(Mugil so-iuy Basilewsky L.)胚胎和仔、稚、幼鱼发育的研究 总被引:6,自引:1,他引:6
鲻科鱼类是世界上重要的海水和半咸淡水养殖对象。对于它们的个体发育研究,国际上一向比较重视。已见报告的品种有M.cephalus[10][6][7]、M.capito[12]、M.curema[5]、M.corsula[9]、M.macrolipis[11]、M.carinatus等,而对梭鱼(Mugil so-iuy Basilewsky L.)个体发育的研究,仅见T.B.杰赫尼克[14](1949)和朝鲜的张日寿(1966)发表过有关报告,在国内尚未见有这方面的详细报告。 相似文献
26.
Jinxing Lai Xiuling Wang Junling Qiu Jianxun Chen Zhinan Hu Hao Wang 《Environmental Earth Sciences》2018,77(19):706
The Qingling–Bashan (QB) mountain region in southern Shaanxi mainly consists of strongly compressive zones from east to west, with tight folds and compressive fractures. There is a wide distribution of soft rocks of various types, such as phyllite and slate, accompanied by complex geological structures. Ironically, tunnel construction in these difficult grounds with complicated geological conditions embraces a high risk of extreme deformation due to various unpredictable reasons, which can frequently cause collapse and result in budget overruns during the construction period. Therefore, it is crucial to conduct effective countermeasures to eliminate or avoid such adverse impacts. This paper provides a case study on the “Yingfeng tunnel” (a tunnel constructed in soft rock consisting of a slate ground) based on a geological survey, indoor experiments and in situ monitoring. A successive rock mass deformation resulted in the tunnel lining seriously intruding into construction clearance and some other sections, even collapsing during the construction. The maximum displacement amount was 62.5 cm, while the maximum deformation speed reached as high as 34.18 mm/day. Additionally, to evaluate the construction impacts of tunnelling-induced geo-hazards, an investigation on extreme deformation was conducted. Considering the time-dependent features of the rock mass deformation, the constraint-convergence method was used to put forward applicable countermeasures in this paper. Finally, from the feedbacks of monitoring results, extreme deformation of the Yingfeng tunnel was effectively controlled. 相似文献
27.
Damage and destruction to schools from climate-related disasters can have significant and lasting impacts on curriculum and educational programs, educational attainment, and future income-earning potential of affected students. As such, assessing the potential impact of hazards is crucial to the ability of individuals, households, and communities to respond to natural disasters, extreme events, and economic crises. Yet, few studies have focused on assessing the vulnerability of schools in coastal regions of the USA. Using Hurricane Ike’s tropical storm wind swath in the State of Texas as our study area, we: (1) assessed the spatial distribution patterns of school closures and (2) tested the relationship between school closure and vulnerability factors (namely physical exposure and school demographics) using zero-inflated negative binomial regression models. The regression results show that higher probabilities of hurricane strikes, more urbanized school districts, and school districts located in coastal counties on the right side of Ike’s path have significant positive associations with an increase in the number of school closure days. Socioeconomic characteristics were not significantly associated with the number of days closed, with the exception of proportion of Hispanic youth in schools, a result which is not supported by the social vulnerability literature. At a practical level, understanding how hurricanes may adversely impact schools is important for developing appropriate preparedness, mitigation, recovery, and adaptation strategies. For example, school districts on the right side of the hurricane track can plan in advance for potential damage and destruction. The ability of a community to respond to future natural disasters, extreme events, and economic crises depends in part on mitigating these adverse effects. 相似文献
28.
Large-scale damage to the power infrastructure from hurricanes and high-wind events can have devastating ripple effects on infrastructure, the broader economy, households, communities, and regions. Using Hurricane Irma’s impact on Florida as a case study, we examined: (1) differences in electric power outages and restoration rates between urban and rural counties; (2) the duration of electric power outages in counties exposed to tropical storm force winds versus hurricane Category 1 force winds; and (3) the relationship between the duration of power outage and socioeconomic vulnerability. We used power outage data for the period September 9, 2017–September 29, 2017. At the peak of the power outages following Hurricane Irma, over 36% of all accounts in Florida were without electricity. We found that the rural counties, predominantly served by rural electric cooperatives and municipally owned utilities, experienced longer power outages and much slower and uneven restoration times. Results of three spatial lag models show that large percentages of customers served by rural electric cooperatives and municipally owned utilities were a strong predictor of the duration of extended power outages. There was also a strong positive association across all three models between power outage duration and urban/rural county designation. Finally, there is positive spatial dependence between power outages and several social vulnerability indicators. Three socioeconomic variables found to be statistically significant highlight three different aspects of vulnerability to power outages: minority groups, population with sensory, physical and mental disability, and economic vulnerability expressed as unemployment rate. The findings from our study have broader planning and policy relevance beyond our case study area, and highlight the need for additional research to deepen our understanding of how power restoration after hurricanes contributes to and is impacted by the socioeconomic vulnerabilities of communities. 相似文献
29.
Meisina C. Bonì R. Bozzoni F. Conca D. Perotti Cesare Persichillo Pina Lai C. G. 《Bulletin of Earthquake Engineering》2022,20(11):5601-5632
Bulletin of Earthquake Engineering - Mapping the susceptibility of earthquake-induced soil liquefaction at the continental scale is a challenge. Susceptibility of soils to liquefaction is the... 相似文献
30.
Xiong Jinghua Wang Zhaoli Guo Shenglian Wu Xushu Yin Jiabo Wang Jun Lai Chengguang Gong Qiangjun 《Natural Hazards》2022,111(1):507-522
Natural Hazards - The U.S. 2020 hurricane season was extraordinary because of a record number of named storms coinciding with the COVID-19 pandemic. This study draws lessons on how individual... 相似文献