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The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information ...
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of...
extreme weather will mean ongoing challenges to the capacity of these sectors to support human well-being, grow the economy, and provide critical environmental services. Society has yet to evaluate the resilience of FEWS to climate, environmental, and management stresses as it shapes strategies to support sustainable development over the next decades. These issues constitute a quintessential interdisciplinary research challenge and require a well-structured science agenda and supportive information services for implementing key findings that governments and stakeholders can adopt. Integrated policy pathways require usable research findings, applications, models, real-time information systems, and decision support systems. In addition, stakeholder engagement is essential to communicate the benefits and results of these approaches and to engage appropriate groups in their implementation.
Energy policies play a pivotal part in helping countries achieve their sustainable development goals. Further, energy is one of the critical raw materials in companies’ production processes. Therefore, ensuring a steady energy supply is essential to increasing production; otherwise, countries will inevitably slide into recession. In this context, countries should select their energy policies on the basis of a comprehensive analysis. In order to achieve this goal, many different factors must be considered at the same time. The aim of this book is to determine the right energy policies for the sustainable economic development of countries. In this framework, effective strategies for different types of energy will be presented and vital issues such as determining the right locations for nuclear power plants, providing optimal government incentives to increase clean energy investments, and determining appropriate energy policies to reduce energy dependence will be examined. Thus, country-specific optimal energy policies will be outlined, contributing to the achievement of the UN’s sustainable development goals (SDG).
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
How does a solar cell work? How efficient can it be? Why do intricate patterns of metal lines decorate the surface of a solar module? How are the modules arranged in a solar farm? How can sunlight be stored during the day so that it can be used at night? And, how can a lifetime of more than 25 years be ensured in solar modules, despite the exposure to extreme patterns of weather? How do emerging machine-learning techniques assess the health of a solar farm? This practical book will answer all these questions and much more.Written in a conversational style and with over one-hundred homework problems, this book offers an end-to-end perspective, connecting the multi-disciplinary and multi-scale...
The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment focuses on bio-inspired techniques such as modelling to generate control algorithms for the treatment of diabetes mellitus. The book addresses the identification of diabetes mellitus using a high-order recurrent neural network trained by the extended Kalman filter. The authors also describe the use of metaheuristic algorithms for the parametric identification of compartmental models of diabetes mellitus widely used in research works such as the Sorensen model and the Dallaman model. In addition, the book addresses the modelling of time series for the prediction of risk scenarios such as hyperglycaemia and hypog...
This volume illustrates the relationship between environmental factors and economic development of countries from various angles. Global warming has become a problem that threatens the whole world, especially in recent years. It is known that the main reason for this is carbon emissions. On the other hand, carbon emissions generally consist of fossil fuel-based energy consumption. This situation creates very serious environmental problems. Because of this problem, the concept of carbon zero has become very popular, especially in recent years. Many countries take some actions to minimize carbon emissions. Especially in the coming years, carbon emissions will become a competitive factor for countries and businesses. In this respect, countries with low carbon emissions will be preferred more in foreign trade. In addition, businesses that do not generate carbon emissions in the production process will also gain a significant competitive advantage in international trade. The contributions take a multidimensional outlook to energy investments and offer solutions for decision-making for energy projects in risky business ecosystems.
In the fall of 1999, at the close of the 20th century, there were 3,726 international students on the West Lafayette campus of Purdue University. They came from 127 countries. Three of the largest groups came from Taiwan, South Korea, and Hong Kong, continuing a tradition that has stertched throughout the century. The stories behind Purdue's long-term relationship with Taiwan, Korea, and Hong-Kong have never been told before. Three Tigers and Purdue describes that history, as told in the stories of the people who lived it.