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In: Small wars & insurgencies, Band 35, Heft 8, S. 1506-1508
ISSN: 1743-9558
"This report contains the Greater Mekong Subregion Regional Strategic Framework for Biofuel Development. It also presents the executive summaries of this report, the individual biofuel study reports for the six member countries, and the biofuel modeling study. The findings were endorsed at the Fifth Meeting of the Greater Mekong Subregion Working Group on Agriculture on 22-24 September 2008 in Vientiane, the Lao People's Democratic Republic."
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"This report contains the Greater Mekong Subregion Regional Strategic Framework for Biofuel Development. It also presents the executive summaries of this report, the individual biofuel study reports for the six member countries, and the biofuel modeling study. The findings were endorsed at the Fifth Meeting of the Greater Mekong Subregion Working Group on Agriculture on 22-24 September 2008 in Vientiane, the Lao People's Democratic Republic."
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Cover -- Title -- Copyright -- Contents -- Figures -- Foreword: Learning from the Shelter Sector -- Acknowledgements -- Introduction: More than a roof overhead: post-disaster housing reconstruction to enable resilient communities -- PART I Overview: Achievements in housing reconstruction despite mounting odds -- PART II The case studies -- Bushfire | Australia -- Black Saturday bushfires, 2009 -- Linking temporary and permanent housing: Kinglake -- Black Saturday bushfires, 2009 -- Linking temporary and permanent housing: Marysville -- Cyclone | Bangladesh -- Cyclone Aila, 2009 -- Owner-driven reconstruction -- Cyclone Aila, 2009 -- Community-based reconstruction -- Earthquake | Haiti -- Earthquake, 2010 -- Community redevelopment program -- Earthquake, 2010 -- Integrated neighbourhood approach -- Tsunami | Sri Lanka -- Indian Ocean tsunami, 2004 -- Community resettlement -- Indian Ocean tsunami, 2004 -- Owner-driven reconstruction -- Hurricane | USA -- Hurricane Katrina, 2005 -- Consultative housing reconstruction -- Hurricane Katrina, 2005 -- Musicians' Village -- Typhoon | Vietnam -- Typhoon Xangsane, 2006 -- Typhoon Ketsana, 2009 -- Housing reconstruction and public awareness -- Typhoon Xangsane, 2006 -- Child-centred housing reconstruction -- Part III Conclusion: Lessons from the case studies -- Bibliography -- Index.
In: Routledge studies in hazards, disaster risk and climate change
Foreword; 1. Introduction: Tackling the Odds in the Sub-Continental Fringes: Disaster Resilience in the Smaller Countries of South Asia; 2. An Old Hand: Comprehensive Disaster Risk Reduction Institutional Framework in Bangladesh; 3. Icy Flood: Adapting to the impacts of Glacial Lake Outburst Floods in Bhutan; 4. Staying Afloat: Disaster recovery in the climate change-threatened atolls of the Maldives; 5. Rule of Thumb: Opportunities and barriers to compliance of building codes for disaster resilience in Nepal; 6. Framing Accountability: Policy implementation following floods and landslides in Sri Lanka; 7. Conclusion: Key considerations for disaster resilience in the smaller countries of South Asia; Index
In: Materials & Design, Band 28, Heft 8, S. 2287-2294
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 64, Heft 5, S. 640-649
ISSN: 1432-1009
OBJECTIVES—As part of a consultancy project on occupational health, the Delphi method was used to identify research priorities in occupational health in Malaysia. METHODS—Participation was sought from government ministries, industry, and professional organisations, and university departments with an interest in occupational and public health. Two rounds of questionnaires resulted in a final list of priorities, with noticeable differences between participants depending on whether they worked in industry or were from government organisations. RESULTS—The participation rate of 71% (55 of 78) was obtained for the first questionnaire and 76% (72 of 95) for the second questionnaire. The participants identified occupational health problems for specific groups and industries as the top research priority area (ranked as top priority by 25% of participants). Ministry of Health participants placed emphasis on healthcare workers (52% ranking it as top priority), whereas those from industry identified construction and plantation workers as groups, which should be accorded the highest priority. Evaluation of research and services was given a low priority. CONCLUSIONS—The priorities for occupational health determined with the Delphi approach showed differences between Malaysia, a developing country, and findings from similar European studies. This may be expected, as differences exist in stages of economic development, types of industries, occupational activities, and cultural attitudes to occupational health and safety. Chemical poisonings and workplace accidents were accorded a high priority. By contrast with findings from western countries, workplace psychosocial problems and musculoskeletal injuries were deemed less important. There also seemed to be greater emphasis on adopting interventions for identified problems based on experience in other countries rather than the need to evaluate local occupational health provisions. Keywords: occupational health; research priorities; Malaysia
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In: European Law Review, Band 8, Heft 2, S. 01-01
ISSN: 0307-5400
In: Lecture notes in civil engineering, volume 294
This, conference proceeding, book contains invited articles and contributory papers from the 2nd International Symposium on Disaster Resilience and Sustainable Development, organized by Asian Institute of Technology, Thailand, on June 24-25, 2021. It includes contributions from researchers and practitioners working in the area of disaster mitigation and risk reduction for sustainable communities. The articles cover the topics such as on tools and techniques of hazard identifications, risk assessment, engineering innovations for hazard mitigation, and safe design of structures to the vulnerable systems. The content caters to research scholars, students, industry professionals, data analytics companies, re-insurance companies, government bodies and policymakers, who work in the field of hazard modeling and disaster management.
In: Materials & Design (1980-2015), Band 36, S. 306-315
Assessing soil quality is considered one the most important indicators to ensure planned and sustainable use of agricultural lands according to their potential. The current study was carried out to develop a spatial model for the assessment of soil quality, based on four main quality indices, Fertility Index (FI), Physical Index (PI), Chemical Index (CI), and Geomorphologic Index (GI), as well as the Geographic Information System (GIS) and remote sensing data (RS). In addition to the GI, the Normalized Difference Vegetation Index (NDVI) parameter were added to assess soil quality in the study area (western part of Matrouh Governorate, Egypt) as accurately as possible. The study area suffers from a lack of awareness of agriculture practices, and it depends on seasonal rain for cultivation. Thus, it is very important to assess soil quality to deliver valuable data to decision makers and regional governments to find the best ways to improve soil quality and overcome the food security problem. We integrated a Digital Elevation Model (DEM) with Sentinel-2 satellite images to extract landform units of the study area. Forty-eight soil profiles were created to represent identified geomorphic units of the investigated area. We used the model builder function and a geostatistical approach based on ordinary kriging interpolation to map the soil quality index of the study area and categorize it into different classes. The soil quality (SQ) of the study area, classified into four classes (i.e., high quality (SQ2), moderate quality (SQ3), low quality (SQ4), and very low quality (SQ5)), occupied 0.90%, 21.87%, 22.22%, and 49.23% of the total study area, respectively. In addition, 5.74% of the study area was classified as uncultivated area as a reference. The developed soil quality model (DSQM) shows substantial agreement (0.67) with the weighted additive model, according to kappa coefficient statics, and significantly correlated with land capability R2 (0.71). Hence, the model provides a full overview of SQ in the study area and can easily be implemented in similar environments to identify soil quality challenges and fight the negative factors that influence SQ, in addition to achieving environmental sustainability.
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