Martiwi Diah Setiawati – författare

Climate Change, Community Response, and Resilience: Insight for Socio-Ecological Sustainability, Volume Six presents a fundamental theoretical framework for understanding how community resilience and risk assessment affect climate change adaptation behavior. This framework is based on a 26-chapter theoretical and empirical examination that includes pioneer projects from various regions that illustrate the relationship between theory and practice, reflect a paradigm shift in climate change, community response, and resilience, and focus on these important aspects from a sectoral perspective. Climate change, ecological consequences and resilience are then discussed in the final section.

Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.

This book provides a critical theoretical framework for understanding the implementation and development of smart cities as innovation drivers, with long-term effects on productivity, livability, and the sustainability of specific initiatives. This framework is based on an empirical analysis of 21 case studies, which include pioneer projects from various regions. It investigates how successful smart city initiatives foster technological innovation by combining regulatory governance and private agency. The typologies of smart city-making approaches are thoroughly examined. This book presents the holistic approach of smart cities, which start from current issue and challenges, advanced technological development, disaster mitigation, ecological perspective, social issue, and urban governance.

The book is organized into five major parts, which reflect interconnection between theories and practice. Part one explains the introduction which reflects the diversity andchallenges of the urban commons and its regeneration. Part two covers the current and future situation of urban growth, anglomeration agglomeration, and urban infrastructure. This section includes rethinking urban sprawl: moving towards sustainable cities, drivers of urban growth and infrastructure, urban land use dynamics and urban sprawl and urban infrastructure sustainability and resilience. Part three describes climate crisis, urban health, and waste management. This section includes climate change and health impacts in urban areas, green spaces: an invaluable resource for delivering sustainable urban health, health and wellbeing and quality of life in the changing urban environment, urban climate and pollution—case study, sustainable urban waste management and urban sustainability and global warming and urban heat Island. Part four covers the ecological perspectives, advanced technology, and social impact for i.e., smart building, ecosystem services, society and future smart cities (SSC). This section includes urban ecosystem services, environmental planning, and city management, artificial intelligence and urban hazards and societal impact, and using geospatial application and urban/smart city energy conservation—case study. Part five covers urban governance, smart solutions, and sustainable cities. It includes good governance, especially e-governance and citizen participation, urban governance, space and policy planning to achieve sustainability, smart city planning and management and Internet of things (IoT), advances in smart roads for future smart cities, sustainable city planning, innovation, and management, future strategy for sustainable smart cities and lessons from the pandemic: the future of smart cities.

The book seeks to comprehend how indigenous knowledge systems of local communities can be effectively used in disaster management of various types. A prime example is the 2015 Sendai Framework for Disaster Risk Reduction, promoting indigenous environmental management knowledge and practices. Traditional knowledge of indigenous peoples includes information and insight that supplement conventional science and environmental observations, a comprehensive understanding of the environment, natural resources, culture, and human interactions with them which is not documented before. A great deal of this knowledge have been lost in translation. In this book, the authors attempt to keep a record of each and every traditional knowledge study of the indigenous communities in managing the disasters.

This book is organized into four major sections. Thefirst part gives an overview and help in conceptualizing the different concepts of hazard and disaster perception and how response and adaptation are connected with it. This part also discusses the concept of the connection between hazard and sustainable development and how the understanding of risk reduction and resilience can happen with the help of indigenous knowledge, insights, and strategies.

Part 3 of this book describes the concept of sustainability through indigenous knowledge and practice. The sole highlight of this chapter is the indigenous knowledge efficacies in disaster identification, risk reduction, climate risk management, and climate action.

The last section of the book explores how to meet the gaps between local knowledge and policy formulation. It highlights how traditional knowledge of the indigenous communities can prove to be beneficial in developing a holistic regional-based policy framework which will be easily accepted by the target stakeholders since they will be more acquainted with the local strategies and methods. This section ends with an assessment and discussion of the gaps and future scopes in disaster risk reduction through integrating local knowledge and modern technologies.

This book offers a geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, and visualization, as well as management strategies in many elements of river basin risks. This book investigates cutting-edge techniques based on open source software and R statistical programming Google Earth Engine and modeling in modern artificial intelligence techniques, with a particular emphasis on recent trends in data mining techniques and robust modeling in river basin management. It includes significant issues such as geomorphological hazards, climate change, catastrophic natural disasters, meteorological and agricultural drought monitoring, landslides or mudslides (mudflow), floods and flash floods, soil erosion, and land degradation. This book''s contents are of interest to earth and environmental scientists, professionals, and policymakers. The book examines spatial modeling, risk evaluation of a drainage basin in the domain of environmental and social issues, management, and associated research. Due to poorly understood climate change and unclear man-made activity, there are several problems and uncertainties in studying earth''s environmental circumstances, making it exceedingly difficult to analyze and make knowledgeable judgments. Many difficulties, on the other hand, are caused by mismanagement of present and future land, water, and forestry resources. It is also critical to use new technology and methods to improve and reinforce environmental protection. The link between the three devices, namely remote sensing (RS), GIS, and the R programming interface, is acknowledged in this respect. Land conservation measures, soil and water quality control, and new rules should all rely on correct measurements and predictions, and three technologies (RS, GIS, and R) and open access quantitative forecasting methodologies help with climate change and better management regulations. Nonetheless, this book serves as a feasible framework for studying current breakthroughs in geospatial artificial intelligence technologies and their relevance to the planet''s environmental and socioeconomic concerns in a single volume.