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Hypothetical Analysis of Employees’ Work Performance based on HPHRP 基于HPHRP的员工工作绩效假设分析
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2017.12.119
Lu Zhang
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引用次数: 6
UP NOAH in Building Resilient Philippines; Multi-hazard and Risk Mapping for the Future UP NOAH在建设有韧性的菲律宾;未来的多灾害和风险制图
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2018.01.131
Neyzielle Ronnicque Cadiz
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引用次数: 5
Experimental Study of the Non-equilibrium Explosion Venting in Spherical Vessel 球形容器非平衡爆破排气实验研究
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2017.12.109
Y. Zhen, Zhirong Wang, Chen Yan
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引用次数: 3
Voluntary or involuntary relocation of underserved settlers in the city of Colombo as a Flood Risk Reduction Strategy: A Case Study of Three Relocation Projects 科伦坡市服务不足的定居者自愿或非自愿重新安置作为减少洪水风险的战略:三个重新安置项目的案例研究
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2018.01.132
N. Fernando
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引用次数: 7
Landslide susceptibility mapping using logistic regression model (a case study in Badulla District, Sri Lanka) 基于logistic回归模型的滑坡易感性制图(以斯里兰卡Badulla地区为例)
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2018.01.135
H. Hemasinghe, R.S.S. Rangali, N. Deshapriya, L. Samarakoon
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引用次数: 67
A capacity analysis framework for multi-hazard early warning in coastal communities 沿海社区多灾种预警能力分析框架
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2018.01.147
R. Haigh, D. Amaratunga, Kinkini Hemachandra
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引用次数: 36
Analysis of Fire Safety System for Storage Enterprises of Dangerous Chemicals 危险化学品仓储企业消防安全体系分析
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2017.12.101
Cong Zhang
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引用次数: 17
Urban Aggression by Ideological, Political and Economic Strain - Anthropic Hazards 思想、政治和经济压力下的城市侵略——人为危害
Pub Date : 2018-01-01 DOI: 10.1016/J.PROENG.2018.01.149
Cristina Olga Gociman, T. Florescu, C. Moscu, Mihaela Girneata
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引用次数: 2
Assessment of flood hazard areas using Analytical Hierarchy Process over the Lower Yom Basin, Sukhothai Province 基于层次分析法的素可泰省下Yom盆地洪水危险区评估
Pub Date : 2018-01-01 Epub Date: 2018-02-22 DOI: 10.1016/j.proeng.2018.01.044
Kamonchat Seejata , Aphittha Yodying , Tubtim Wongthadam , Nattapon Mahavik , Sarintip Tantanee

Flood hazard map is essential tool to assess susceptibility of flood prone area. The present study focuses on an assessment of flood hazard areas in Sukhothai province of Thailand where it has suffered from flood in every year with different extents. Spatial analysis in GIS environment has been applied for the estimation of flood risk zones in which six relevant physical factors have been selected namely, rainfall amount, slope, elevation, river density, land use and soil permeability. The relative importance of physical factors has been compared in pairwise matrix to gain the weight values during the process of Analytical Hierarchy Process (AHP). The flood hazard zones have been mapped according to their weights. It has been found that Muang, Kongkrailat, Khirimat and Sisamrong districts are identified as the high risk zones of flood.

洪水灾害图是评估洪水易发地区易感性的重要工具。本研究对泰国素可泰省每年遭受不同程度洪水灾害的洪水危险区进行了评估。将GIS环境下的空间分析方法应用于洪水危险区估算,选取降雨量、坡度、高程、河流密度、土地利用和土壤渗透性6个相关物理因子。在层次分析法(AHP)中,通过两两矩阵比较各物理因素的相对重要性,得到各物理因素的权重值。洪水危险区已根据其权重绘制了地图。已经发现,曼、孔克拉拉特、希里马特和西萨姆荣地区被确定为洪水的高风险地区。
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引用次数: 90
Coastal community resilience level of Tsunami prone area : a case study in Sri Lanka 海啸易发地区沿海社区恢复力水平:斯里兰卡个案研究
Pub Date : 2018-01-01 Epub Date: 2018-02-22 DOI: 10.1016/j.proeng.2018.01.088
P. Sooriyaarachchi , A.L. Sandika , N. Madawanarachchi

In the history of Sri Lanka, the Indian Ocean Tsunami which occurred on 26th December 2004 could be considered a major natural disaster with catastrophic consequences. The damage from Tsunami in Sri Lanka was so widespread unlike for many other countries. The main objective of the study is to investigate the current Tsunami resilience level and address the resilience gap by providing feasible recommendations thus building a resilient community to Tsunami. The study was carried out among hundred Tsunami affected families across five highly affected Grama Niladhari divisions in Panadura Divisional Secretariat division. These were selected based on convenience sampling technique. Data was collected from both primary and secondary information sources using a questionnaire survey with a scale of 0-5 where five represents "excellent" and zero is "condition absent". The data was quantitatively analyzed under a framework which combines eight significant resilience elements; governance, society and economy, resource management, land use and structural design, risk knowledge, warning and evacuation, emergency response and disaster recovery. The results highlighted that coastal community resilience to Tsunami was around medium level (2.5) in most dimensions. The highest (2.4) and lowest (1.3) scores were recorded by risk knowledge and society and economy respectively, out of all resilience elements. Further the current resilience level of the community was recognized as 40% and there exists a 60% gap to achieve the ideal condition. Therefore, this should be taken into consideration to improve resilience for all dimensions of the resilience framework by the relevant authorities of the government.

在斯里兰卡历史上,2004年12月26日发生的印度洋海啸可被视为具有灾难性后果的重大自然灾害。海啸对斯里兰卡造成的破坏与其他许多国家不同。本研究的主要目的是调查目前的海啸恢复能力水平,并通过提供可行的建议来解决恢复能力差距,从而建立一个有抵御海啸能力的社区。这项研究是在帕纳杜拉省五个受灾严重的Grama Niladhari省的100个受海啸影响的家庭中进行的。这些是根据方便抽样技术选择的。采用问卷调查的方式从一手和二手信息来源收集数据,调查范围为0-5分,其中5分代表“优秀”,0分代表“无条件”。在结合八个重要弹性要素的框架下,对数据进行了定量分析;治理、社会和经济、资源管理、土地利用和结构设计、风险知识、预警和疏散、应急响应和灾难恢复。结果强调,沿海社区对海啸的恢复能力在大多数方面都在中等水平(2.5)左右。在所有弹性要素中,风险知识得分最高(2.4分),社会经济得分最低(1.3分)。此外,目前社区的恢复力水平被认为是40%,要达到理想状态还有60%的差距。因此,政府相关部门应考虑到这一点,以提高复原力框架各维度的复原力。
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引用次数: 6
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Procedia Engineering
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