Risk-based determination of polder height against storm surge Hazard in the south-west coastal area of Bangladesh
In: Progress in disaster science, Band 8, S. 100131
ISSN: 2590-0617
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In: Progress in disaster science, Band 8, S. 100131
ISSN: 2590-0617
In: International Geology Review, Band 57, Heft 11-12, S. 1510-1525
In: International journal of disaster response and emergency management: an official publication of the Information Resources Management Association, Band 2, Heft 2, S. 35-50
ISSN: 2572-4932
Flood shelter is widely used as a flood-proofing measure in floodplain areas. However, the practice of flood shelter implementation lacks proper planning, design, and construction. This study was undertaken to identify such gaps and bridge them through a case study and pilot of selected shelters in Bangladesh. An interdisciplinary approach comprising both quantitative hydrologic-hydraulic analysis and qualitative participatory social appraisal was followed in the study. The findings revealed that design flood levels were under-estimated, macro-stability of shelter sites were not assessed, and water velocity was not considered in shelter implementation. Based on an assessment of macro-stability of the chars, flood frequency and flow velocity through hydro-dynamic simulation with the HEC-RAS model, two shelters were redesigned and promoted as model shelters which performed well in a subsequent flood. The approach followed in this study can be replicated for shelter implementation in any riverine char environment for better outcome.
Despite multiple economic, environmental and health benefits of biogas and governmental support to scale up biogas technologies, the rate of biogas adoption has been slow in many developing countries. Although technical barriers in biogas technologies have been mostly addressed, there are persisting gaps in knowledge about the role of administrative (regulatory) and market-based policy instruments in the waste-to-energy value chain for facilitating biogas adoption. Therefore, using the case of Sri Lanka, this study investigates policy instruments along the waste-to-energy value chain that affect biogas technology adoption. Additionally, a consistent analytical framework is developed for simultaneously assessing technical and economic potentials as well as environmental impacts of biogas adoption at large scales. Quantitative assessments are complemented with qualitative assessments including key expert interviews. The findings indicate that biogas energy potential from organic waste recycling is 29–42 PJ which accounts for 16–23% of the household energy demand. Biogas technology adoptions also offset 3.9–4.8 million tons of CO2 equivalent gases (or 8.6− 10.8% of nationwide GHG emissions). Despite considerable technical potential and positive environmental externalities, biogas adoptions in Sri Lanka are mainly occurring through administrative enforcement rather than market-based incentives. The ways and impacts of introducing market-based instruments to increase the investment attractiveness of the biogas technology are discussed. ; Peer Review
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In: Environmental science and pollution research: ESPR, Band 22, Heft 20, S. 15386-15415
ISSN: 1614-7499
"As a result of the advances in Artificial Intelligence (AI), many aspects of daily life have been transformed by smart digital technology. Advanced intelligent algorithms can provide powerful solutions to real world problems. Smart applications have become commonplace. All areas of life are being changed by smart tools developed to deal with complex issues challenging both the Earth and humanity. Artificial Intelligence and Smart Agriculture Applications presents the latest smart agriculture applications developed across the globe. It covers a broad array of solutions using data science and AI to attack problems facing agriculture worldwide. Highlights of the book include: Application of drones and sensors in advanced farming A cloud-computing model for implementing smart agriculture Conversational AI for farmer's advisory communications Intelligent fuzzy logic to predict global warming's effect on agriculture Machine learning algorithms for mapping soil macronutrient elements variability A smart IoT framework for soil fertility enhancement AI applications in pest management A model using Python for predicting rainfall The book examines not only present solutions but also potential future outcomes. It looks at the role of AI-based algorithms and the almost infinite combinations of variables for agricultural applications. Researchers, public and private sector representatives, agriculture scientists, and students can use this book to develop sustainable and solutions for smart agriculture. This book's findings are especially important as the planet is facing unprecedented environmental challenges from over-farming and climate change due to global warming"--
In: Environment and livelihoods in tropical coastal zones: managing agriculture-fishery-aquaculture conflicts, S. 72-85
This Letter presents the first experimental observation of the attractive strong interaction between a proton and a multistrange baryon (hyperon) Ξ−. The result is extracted from two-particle correlations of combined p−Ξ−⊕¯p−¯Ξ+ pairs measured in p−Pb collisions at √sNN=5.02 TeV at the LHC with ALICE. The measured correlation function is compared with the prediction obtained assuming only an attractive Coulomb interaction and a standard deviation in the range [3.6, 5.3] is found. Since the measured p−Ξ−⊕¯p−¯Ξ+ correlation is significantly enhanced with respect to the Coulomb prediction, the presence of an additional, strong, attractive interaction is evident. The data are compatible with recent lattice calculations by the HAL-QCD Collaboration, with a standard deviation in the range [1.8, 3.7]. The lattice potential predicts a shallow repulsive Ξ− interaction within pure neutron matter and this implies stiffer equations of state for neutron-rich matter including hyperons. Implications of the strong interaction for the modeling of neutron stars are discussed. ; A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation (ANSL), State Committee of Science and World Federation of Scientists (WFS), Armenia; Austrian Academy of Sciences, Austrian Science Fund (FWF): [M 2467-N36] and Nationalstiftung für Forschung, Technologie und Entwicklung, Austria; Ministry of Communications and High Technologies, National Nuclear Research Center, Azerbaijan; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Universidade Federal do Rio Grande do Sul (UFRGS), Financiadora de Estudos e Projetos (Finep) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Brazil; Ministry of Science & Technology of China (MSTC), National Natural Science Foundation of China (NSFC) and Ministry of Education of China (MOEC), China; Croatian Science Foundation and Ministry of Science and Education, Croatia; Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Cubaenergía, Cuba; Ministry of Education, Youth and Sports of the Czech Republic, Czech Republic; The Danish Council for Independent Research—Natural Sciences, the Carlsberg Foundation and Danish National Research Foundation (DNRF), Denmark; Helsinki Institute of Physics (HIP), Finland; Commissariat à l'Energie Atomique (CEA), Institut National de Physique Nucléaire et de Physique des Particules (IN2P3) and Centre National de la Recherche Scientifique (CNRS) and Rlégion des Pays de la Loire, France; Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (BMBF) and GSI Helmholtzzentrum für Schwerionenforschung GmbH, Germany; General Secretariat for Research and Technology, Ministry of Education, Research and Religions, Greece; National Research, Development and Innovation Office, Hungary; Department of Atomic Energy Government of India (DAE), Department of Science and Technology, Government of India (DST), University Grants Commission, Government of India (UGC) and Council of Scientific and Industrial Research (CSIR), India; Indonesian Institute of Science, Indonesia; Centro Fermi—Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi and Istituto Nazionale di Fisica Nucleare (INFN), Italy; Institute for Innovative Science and Technology, Nagasaki Institute of Applied Science (IIST), Japan Society for the Promotion of Science (JSPS) KAKENHI and Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan; Consejo Nacional de Ciencia (CONACYT) y Tecnología, through Fondo de Cooperación Internacional en Ciencia y Tecnología (FONCICYT) and Dirección General de Asuntos del Personal Academico (DGAPA), Mexico; Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO), Netherlands; The Research Council of Norway, Norway; Commission on Science and Technology for Sustainable Development in the South (COMSATS), Pakistan; Pontificia Universidad Católica del Perú, Peru; Ministry of Science and Higher Education and National Science Centre, Poland; Korea Institute of Science and Technology Information and National Research Foundation of Korea (NRF), Republic of Korea; Ministry of Education and Scientific Research, Institute of Atomic Physics and Ministry of Research and Innovation and Institute of Atomic Physics, Romania; Joint Institute for Nuclear Research (JINR), Ministry of Education and Science of the Russian Federation, National Research Centre Kurchatov Institute, Russian Science Foundation and Russian Foundation for Basic Research, Russia; Ministry of Education, Science, Research and Sport of the Slovak Republic, Slovakia; National Research Foundation of South Africa, South Africa; Swedish Research Council (VR) and Knut & Alice Wallenberg Foundation (KAW), Sweden; European Organization for Nuclear Research, Switzerland; National Science and Technology Development Agency (NSDTA), Suranaree University of Technology (SUT) and Office of the Higher Education Commission under NRU project of Thailand, Thailand; Turkish Atomic Energy Agency (TAEK), Turkey; National Academy of Sciences of Ukraine, Ukraine; Science and Technology Facilities Council (STFC), United Kingdom; National Science Foundation of the United States of America (NSF) and United States Department of Energy, Office of Nuclear Physics (DOE NP), United States of America.
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