8,497 research outputs found

    Disaster management in industrial areas: perspectives, challenges and future research

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    Purpose: In most countries, development, growth, and sustenance of industrial facilities are given utmost importance due to the influence in the socio-economic development of the country. Therefore, special economic zones, or industrial areas or industrial cities are developed in order to provide the required services for the sustained operation of such facilities. Such facilities not only provide a prolonged economic support to the country but it also helps in the societal aspects as well by providing livelihood to thousands of people. Therefore, any disaster in any of the facilities in the industrial area will have a significant impact on the population, facilities, the economy, and threatens the sustainability of the operations. This paper provides review of such literature that focus on theory and practice of disaster management in industrial cities. Design/methodology/approach: In the paper, content analysis method is used in order to elicit the insights of the literature available. The methodology uses search methods, literature segregation and developing the current knowledge on different phases of industrial disaster management. Findings: It is found that the research is done in all phases of disaster management, namely, preventive phase, reactive phase and corrective phase. The research in each of these areas are focused on four main aspects, which are facilities, resources, support systems and modeling. Nevertheless, the research in the industrial cities is insignificant. Moreover, the modeling part does not explicitly consider the nature of industrial cities, where many of the chemical and chemical processing can be highly flammable thus creating a very large disaster impact. Some research is focused at an individual plant and scaled up to the industrial cities. The modeling part is weak in terms of comprehensively analyzing and assisting disaster management in the industrial cities. Originality/value: The comprehensive review using content analysis on disaster management is presented here. The review helps the researchers to understand the gap in the literature in order to extend further research for disaster management in large scale industrial cities.Peer Reviewe

    Disaster management in industrial areas: Perspectives, challenges and future research

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    Purpose: In most countries, development, growth, and sustenance of industrial facilities are given utmost importance due to the influence in the socio-economic development of the country. Therefore, special economic zones, or industrial areas or industrial cities are developed in order to provide the required services for the sustained operation of such facilities. Such facilities not only provide a prolonged economic support to the country but it also helps in the societal aspects as well by providing livelihood to thousands of people. Therefore, any disaster in any of the facilities in the industrial area will have a significant impact on the population, facilities, the economy, and threatens the sustainability of the operations. This paper provides review of such literature that focus on theory and practice of disaster management in industrial cities. Design/methodology/approach: In the paper, content analysis method is used in order to elicit the insights of the literature available. The methodology uses search methods, literature segregation and developing the current knowledge on different phases of industrial disaster management. Findings: It is found that the research is done in all phases of disaster management, namely, preventive phase, reactive phase and corrective phase. The research in each of these areas are focused on four main aspects, which are facilities, resources, support systems and modeling. Nevertheless, the research in the industrial cities is insignificant. Moreover, the modeling part does not explicitly consider the nature of industrial cities, where many of the chemical and chemical processing can be highly flammable thus creating a very large disaster impact. Some research is focused at an individual plant and scaled up to the industrial cities. The modeling part is weak in terms of comprehensively analyzing and assisting disaster management in the industrial cities. Originality/value: The comprehensive review using content analysis on disaster management is presented here. The review helps the researchers to understand the gap in the literature in order to extend further research for disaster management in large scale industrial cities.Scopu

    Digital Twin Concept for Risk Analysis of Oil Storage Tanks in Operations: a Systems Engineering Approach

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    This paper presents an approach to develop a risk monitoring tool for oil storage facilities. The suggested approach is derived from the existing dynamic risk analysis (DRA) methods and the digital twin concepts. One of the main challenges in practical applications of DRA methods is insufficient amount of relevant data, and it seems that digital twin models can overcome this challenge by offering increased availability of real-time data. It can be interesting to judge if their combination can provide the intended advantages with a structured and more holistic viewpoint. Therefore, this paper demonstrates how a representative systems engineering (SE) methodology may be used to facilitate the process of developing an improved risk monitoring tool.publishedVersio

    Technology transfer: Transportation

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    The application of NASA derived technology in solving problems related to highways, railroads, and other rapid systems is described. Additional areas/are identified where space technology may be utilized to meet requirements related to waterways, law enforcement agencies, and the trucking and recreational vehicle industries

    ์‚ฐ์‚ฌํƒœ, ํ™์ˆ˜ ๋ฐ ๊ด€๋ จ ๋ณตํ•ฉ์žฌํ•ด ํ”ผํ•ด ์˜ˆ๋ฐฉ์„ ์œ„ํ•œ ํ†ตํ•ฉ์  ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ ์ฒด๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™˜๊ฒฝ๋Œ€ํ•™์› ํ˜‘๋™๊ณผ์ • ์กฐ๊ฒฝํ•™,2019. 8. ์ด๋™๊ทผ.In recent years, it has been reported that climate change is leading to increased damage and losses caused by natural hazards. Moreover, reports of compound disasters caused by multiple hazards in extreme weather events are becoming more frequent. Efforts have been made to improve risk management for natural hazards; however, there has been little discussion about providing an integrated framework supported by technical tools to establish an efficient and effective management plan based on quantitative analyses. Meanwhile, risk management tools and frameworks have been developed intensively in the industrial sector for decades. Applying risk management practices proven in the industrial sector can assist in systematic hazard identification and quantitative risk analysis for natural hazards, thereby potentially helping to reduce unwanted losses and to promote interactive risk communication. The objective of this study is to introduce methods of studying risk commonly used in the process industry, and to suggest how such methods can be applied to manage natural disasters, providing an integrated risk management framework. In particular, the hazard and operability (HAZOP), safety integrated level (SIL), and quantitative risk assessment (QRA) methods were investigated for the parts of the risk management process, which are risk identification, risk analysis, risk treatment, risk evaluation, and risk acceptance, as these methods are used to conduct key risk studies in industry. Herein, a literature review regarding those key risk studies and their application in various fields is briefly presented, together with an overview of risk management for natural hazards and multi-hazard risks. Next, common ways of implementing these risk studies for managing natural hazards are presented, with a focus on methodological considerations. First, a case study is presented in which HAZOP is applied to identify climate-related natural hazards in an organization using a worksheet that lists and evaluates natural hazards. Second, a study applying SIL is presented, in which the probability of landslide and rockfall occurrence is estimated based on the concept of reliability, indicating how probability values can be used for landslide risk management. In the third part, a simplified QRA for landslide hazard is exemplified through the case of site planning for a resort facility on a mountain hill, with the purpose of illustrating how stakeholders can make decisions on spatial planning regarding risk acceptance. In addition, this part presents the result of impact assessments conducted using physically-based models for cases involving multiple hazards, such as a post-wildfire landslide and complex flooding resulting from dam collapse. The technical approaches used in this studyโ€”systematic hazard identification, time-dependent reliability, and quantitative risk assessment for single or compound disasters using physically-based modelsโ€”provide the methods to resolve the difficulty of establishing tools for managing the risk from natural hazards. The analysis presented in this study also provides a useful framework for improving the risk management of natural hazards through establishing a more systematic context and facilitating risk communication between decision-makers and the public.๊ธฐํ›„๋ณ€ํ™”์— ์˜ํ•œ ์ž์—ฐ์žฌํ•ด๋Š” ์ตœ๊ทผ ์ฆ๊ฐ€ํ•˜๋Š” ์ถ”์„ธ์ด๋ฉฐ, ํญ์šฐ ๋“ฑ ๊ทนํ•œ ๊ธฐ์ƒ ํ˜„์ƒ์— ์˜ํ•œ ๋ณตํ•ฉ์žฌํ•ด ํ”ผํ•ด ์—ญ์‹œ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๊ฐ„ ์ž์—ฐ ์œ„ํ•ด ์š”์†Œ๋กœ๋ถ€ํ„ฐ ๊ธฐ์ธํ•˜๋Š” ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ๋ฅผ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ๋ ฅ์€ ์žˆ์–ด์™”์œผ๋‚˜, ํ†ตํ•ฉ์ฒด๊ณ„ ๊ตฌ์ถ•์— ๋Œ€ํ•œ ๋…ผ์˜๋Š” ๋ถ€์กฑํ•œ ํŽธ์ด์˜€๋‹ค. ๋˜ํ•œ ์ •๋Ÿ‰์  ๋ฆฌ์Šคํฌ ๋ถ„์„์— ๊ธฐ๋ฐ˜ํ•œ ํšจ์œจ์  ๊ด€๋ฆฌ ์ฒด๊ณ„ ํ™•๋ฆฝ์— ์žˆ์–ด์„œ๋„ ๋ฆฌ์Šคํฌ ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ ์ ์ • ๊ธฐ์ˆ  ์ œ๊ณต์— ์–ด๋ ค์›€์ด ์žˆ์—ˆ๋‹ค. ํ•œํŽธ, ์žฌํ•ด๋กœ ์ธํ•œ ์†์‹ค ์˜ˆ๋ฐฉ ๋ฐ ์ €๊ฐ์„ ์œ„ํ•œ ํ†ตํ•ฉ์  ์œ„ํ—˜ ๊ด€๋ฆฌ ์ฒด๊ณ„๋Š” ์ˆ˜์‹ญ ๋…„๊ฐ„ ์‚ฐ์—… ๋ถ€๋ฌธ์—์„œ ์ง‘์ค‘์ ์œผ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์ž์—ฐ์žฌํ•ด ์œ„ํ—˜ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•˜์—ฌ ์ด์™€ ๊ฐ™์€ ์ฒด๊ณ„์ ์ธ ๋ถ„์„ ๋ฐฉ๋ฒ•๊ณผ ๊ฒ€์ฆ๋œ ์šด์˜ ๋ฐฉ์‹์„ ์ฑ„ํƒํ•œ๋‹ค๋ฉด, ์ด์ƒ ๊ธฐํ›„ ๋…ธ์ถœ๋กœ ์ธํ•ด ๋ฐ˜๋ณต๋˜๋Š” ์ธ๋ช… ๋ฐ ์ž์‚ฐ ์†์‹ค์„ ์ค„์ผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์„์œ ํ™”ํ•™ ์—…์ข…์—์„œ ์‚ฌ์šฉ๋˜๋Š” ์œ„ํ—˜ ๊ด€๋ฆฌ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜๊ณ  ์ž์—ฐ์žฌํ•ด ์‚ฌ๋ก€์— ์ ์šฉํ•˜์—ฌ ํ†ตํ•ฉ์  ์œ„ํ—˜ ๊ด€๋ฆฌ ์ฒด๊ณ„๋ฅผ ์ˆ˜๋ฆฝํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ํŠนํžˆ, ๋ฆฌ์Šคํฌ ๊ด€๋ จ ์Šคํ„ฐ๋”” ์ค‘ ์ฃผ์š”ํ•˜๊ฒŒ ์‹คํ–‰๋˜๋Š” ์œ„ํ—˜ ๋ฐ ์ž‘๋™์„ฑ ํ‰๊ฐ€ (The Hazard and Operability โ€“HAZOP), ์•ˆ์ „ ํ†ตํ•ฉ ์ˆ˜์ค€ ๋ถ„์„ (Safety Integrated Level โ€“ SIL), ์ •๋Ÿ‰์  ์œ„ํ—˜ ํ‰๊ฐ€ (Quantitative Risk Assessment โ€“ QRA) ์— ๋Œ€ํ•˜์—ฌ ์ž์„ธํžˆ ์•Œ์•„๋ณด๊ณ , ์ด ๋ฐฉ๋ฒ•๋“ค์ด ๋ฆฌ์Šคํฌ์˜ ํ™•์ธ, ๋ถ„์„, ์ €๊ฐ, ํ‰๊ฐ€, ์ˆ˜์šฉ์œผ๋กœ ์ด์–ด์ง€๋Š” ์ž์—ฐ์žฌํ•ด ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ ์ „๋ฐ˜์— ์–ด๋–ป๊ฒŒ ์ ์šฉ๋  ์ˆ˜ ์žˆ๋Š”์ง€์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ๋จผ์ € ์œ„์—์„œ ์–ธ๊ธ‰ํ•œ ์„ธ๊ฐ€์ง€ ์ฃผ์š” ๋ฆฌ์Šคํฌ ์Šคํ„ฐ๋””๋“ค์— ๋Œ€ํ•œ ๋ฌธํ—Œ ์กฐ์‚ฌ ๋‚ด์šฉ์„ ์†Œ๊ฐœํ•˜๊ณ , ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์— ์ ์šฉ๋˜๊ณ  ์žˆ๋Š” ํ˜„ํ™ฉ์— ๋Œ€ํ•˜์—ฌ ์•Œ์•„๋ณด์•˜๋‹ค. ๋˜ํ•œ ๊ธฐ์กด์˜ ์ž์—ฐ์žฌํ•ด ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ ๋ฐฉ๋ฒ•๋“ค์— ๋Œ€ํ•˜์—ฌ ์กฐ์‚ฌํ•˜๊ณ , ๋‹ค์ค‘ ์œ„ํ—˜ ์š”์†Œ์— ์˜ํ•œ ๋ณตํ•ฉ์žฌํ•ด ์œ ํ˜•์„ ์†Œ๊ฐœํ•˜์˜€๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์ด ๋ฆฌ์Šคํฌ ์Šคํ„ฐ๋””๋“ค์ด ์‹คํ–‰๋˜๋Š” ์ผ๋ฐ˜์  ๋ฐฉ๋ฒ•๋“ค์— ๋Œ€ํ•˜์—ฌ ์•Œ์•„๋ณด๊ณ , ์ž์—ฐ์žฌํ•ด ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ ๋ถ„์•ผ์— ์ ์šฉ๋˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ๋“ค์— ๋Œ€ํ•˜์—ฌ ๋…ผ์˜ํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ๊ฒฐ๊ณผ๋Š” ๊ธฐํ›„ ๊ด€๋ จ ์ž์—ฐ์žฌํ•ด์˜ ์œ„ํ—˜ ์š”์ธ์„ ์‹๋ณ„ํ•˜๊ธฐ ์œ„ํ•œ HAZOP ์Šคํ„ฐ๋”” ์‚ฌ๋ก€์ด๋ฉฐ, ์›Œํฌ์‹œํŠธ ํ˜•ํƒœ๋กœ ํ•œ ๊ธฐ๊ด€ ๋‚ด์— ๋ฐœ์ƒ ํ•  ์ˆ˜ ์žˆ๋Š” ์ž์—ฐ ์œ„ํ•ด ์š”์†Œ๋“ค์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋‘๋ฒˆ์งธ ๋ถ€๋ถ„์€ ์‚ฐ์‚ฌํƒœ์™€ ๋‚™์„ ๋ฐœ์ƒ์˜ ํ™•๋ฅ ์„ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์‹ ๋ขฐ๋„ ๊ฐœ๋…์— ๊ทผ๊ฑฐํ•œ SIL ์Šคํ„ฐ๋””๋ฅผ ์ ์šฉํ•œ ์‚ฌ๋ก€ ์—ฐ๊ตฌ์ด๋ฉฐ, ์‚ฐ์ •๋œ ํ™•๋ฅ  ์ง€ํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํšจ์œจ์ ์œผ๋กœ ์‚ฐ์‚ฌํƒœ ์œ„ํ—˜์„ ๊ด€๋ฆฌํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์…‹์งธ๋กœ, ์‚ฐ์‚ฌํƒœ ์œ„ํ—˜์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•œ QRA ์‚ฌ๋ก€ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ, ์‚ฐ์•… ์ง€์—ญ ํŽœ์…˜ ๋ฆฌ์กฐํŠธ์˜ ๋ถ€์ง€ ์„ ์ • ๊ณผ์ •์—์„œ ๋…ธ์ถœ๋  ์ˆ˜ ์žˆ๋Š” ์‚ฐ์‚ฌํƒœ ์œ„ํ—˜์„ ํ‰๊ฐ€ํ•˜๊ณ  ์ˆ˜์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•˜์—ฌ ๊ณ„ํš์˜ ๊ด€์ ์—์„œ ์•Œ์•„๋ณด์•˜๋‹ค. ์•„์šธ๋Ÿฌ, ์ด ๊ฒฐ๊ณผ ๋ถ€๋ถ„์—์„œ๋Š” ์‚ฐ๋ถˆ ํ›„ ์‚ฐ์‚ฌํƒœ์™€ ํ˜ธ์šฐ ์‹œ ๋Œ ๋ถ•๊ดด๋กœ ์ธํ•œ ํ™์ˆ˜, ๋‘๊ฐ€์ง€ ๋ณตํ•ฉ์žฌํ•ด ์‚ฌ๋ก€์— ๋Œ€ํ•˜์—ฌ ์•Œ์•„๋ณด๊ณ  ๋ฌผ๋ฆฌ์‹ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•œ ์˜ํ–ฅ ํ‰๊ฐ€ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•˜์—ฌ ๋…ผ์˜ ํ•˜์˜€๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ ์ œ์‹œ๋œ ๊ธฐ์ˆ ์  ์ ‘๊ทผ๋ฒ•์ธ ์ฒด๊ณ„์  ์œ„ํ—˜์„ฑ ์‹๋ณ„, ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์‹ ๋ขฐ์„ฑ ๋ถ„์„, ์ •๋Ÿ‰์  ์œ„ํ—˜์„ฑ ํ‰๊ฐ€, ๋ฌผ๋ฆฌ ๋ชจ๋ธ์— ๊ธฐ๋ฐ˜ํ•œ ๋ณตํ•ฉ์žฌํ•ด ์˜ํ–ฅ ํ‰๊ฐ€๋Š” ์ž์—ฐ์žฌํ•ด ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ๋ฐฉ์•ˆ๋“ค๋กœ ํ™œ์šฉ ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ธฐ์ˆ ์  ์–ด๋ ค์›€์„ ํ•ด๊ฒฐํ•˜๋Š”๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ์ด ๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์˜์‚ฌ ๊ฒฐ์ •์ž์™€ ๋Œ€์ค‘ ๊ฐ„์˜ ๋ฆฌ์Šคํฌ ๊ด€๋ จ ์˜์‚ฌ ์†Œํ†ต์„ ์›ํ™œํžˆ ํ•˜๊ณ  ์ฒด๊ณ„์  ๊ด€๋ฆฌ ๋ฐฉ์•ˆ์„ ์ˆ˜๋ฆฝํ•จ์œผ๋กœ์จ ์ž์—ฐ์žฌํ•ด ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ์œ ์šฉํ•œ ํ†ตํ•ฉ ์ฒด๊ณ„๋ฅผ ์ œ๊ณตํ•  ๊ฒƒ์ด๋‹ค.Table of Contents 1. Introduction ๏ผ‘ 1.1 Study background and objective ๏ผ‘ 1.2 Study scope ๏ผ˜ 2. Theoretical paradigm and literature review ๏ผ‘๏ผ’ 2.1 Natural hazard management and communication ๏ผ‘๏ผ’ 2.1.1 The status of natural disaster occurrence ๏ผ‘๏ผ’ 2.1.2 Risk management for natural hazard ๏ผ‘๏ผ• 2.1.3 Communication on risk information ๏ผ‘๏ผ˜ 2.2 Industrial risk management practices ๏ผ’๏ผ 2.2.1 Risk identification ๏ผ’๏ผ 2.2.2 Risk analysis and treatment ๏ผ’๏ผ“ 2.2.3 Risk evaluation and acceptance ๏ผ’๏ผ• 2.3 Type and impact of multi-hazard risk ๏ผ’๏ผ— 2.4 Comparison of risk assessment methodologies ๏ผ“๏ผ’ 3. Risk identification for climate change issues ๏ผ“๏ผ• 3.1 Method for risk identification ๏ผ“๏ผ• 3.2 Result of risk identification ๏ผ”๏ผ 3.2.1 Climate change risk identification ๏ผ”๏ผ 3.3 Discussion on risk identification ๏ผ”๏ผ’ 4. Risk analysis and treatment for natural hazards ๏ผ”๏ผ• 4.1 Method for risk analysis and treatment ๏ผ”๏ผ• 4.2 Results of risk analysis and treatment ๏ผ–๏ผ‘ 4.2.1 Risk analysis and treatment for landslide hazard ๏ผ–๏ผ‘ 4.2.2 Risk analysis and treatment for rockfall hazard ๏ผ–๏ผ™ 4.3 Discussion on risk analysis and treatment ๏ผ˜๏ผ‘ 5. Risk evaluation and acceptance for compound disasters ๏ผ˜๏ผ— 5.1 Method for risk evaluation and acceptance ๏ผ˜๏ผ— 5.2 Result of risk evaluation and acceptance ๏ผ‘๏ผ๏ผ 5.2.1 QRA with physically-based landslide model ๏ผ‘๏ผ๏ผ 5.2.2 Impact assessment of post-wildfire landslides ๏ผ‘๏ผ๏ผ• 5.2.3 Impact assessment of complex flooding ๏ผ‘๏ผ๏ผ™ 5.3 Discussion on risk evaluation and acceptance ๏ผ‘๏ผ‘๏ผ” 6. Discussion ๏ผ‘๏ผ’๏ผ’ 7. Conclusion ๏ผ‘๏ผ’๏ผ•Docto

    Lessons Learned: Solutions for Workplace Safety and Health

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    Provides case studies of workplace health hazards, regulatory actions taken, and solutions, including product and design alternatives; a synthesis of findings and lessons learned; and federal- and state-level recommendations

    Earthquake Prediction Research Funding: Senate Bill 22X

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    Includes: National Seismic System Science Plan, US Geological Survey Circular 1031. Includes: Technical and Economic Feasibility of an Earthquake Warning System in California: A Report to the California Legislature, California Dept. of Conservation, Division of Mines and Geology, 1989

    Earthquake Prediction Research Funding: Senate Bill 22X

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    Includes: National Seismic System Science Plan, US Geological Survey Circular 1031. Includes: Technical and Economic Feasibility of an Earthquake Warning System in California: A Report to the California Legislature, California Dept. of Conservation, Division of Mines and Geology, 1989

    Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

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    This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

    Overview of working fluids and sustainable heating, cooling and power generation technologies

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    Dependency on energy is much higher than the past and it is clear that energy is vital for a sustainable and safer future. Therefore, urgent solutions are required not only to increase share of renewable resources but also more efficient usage of fossil fuels. This could be achieved with innovative power, air conditioning and refrigeration cycles utilising โ€˜long-term sustainableโ€™ (LTS) fluids, especially air, water and CO2. In the article we provide a rational approach to the future use of working fluids based on our interpretation of the available technical evidence. We consider it self-evident that volatile fluids will continue to play major roles in cooling and power generation, however, new technologies will be needed that optimise energy efficiency and safety with minimum environmental impact. Concordantly we discuss the past and current situation of volatile fluids and present four innovative technologies using air/water cycles. Study results showed that there is a rapid development in heating, cooling and power generation technologies those use water/air as working fluid. These technologies demonstrate a potential to replace conventional systems, thereby to contribute to global sustainability in near future. However, further development on LTS fluids and materials also process intensification and cost reduction are vital parameters for future advancement of these technologies
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