Global warming-induced climate change is a severe worldwide issue that has far-reaching effects on the ecology and biological evolution of the planet. Numerous experts study how the climate is changing globally and even in particular areas. This essay's topic is an analysis of Seattle's climate change using literature and data. To determine if Seattle's climate has altered recently, this thesis first examined the city's precipitation, temperature, sea level, and urban excessive heat from four different perspectives. Next, using data on climate change, examine the connection between climate change and global warming. The findings: There is a connection between global warming and climatic change in Seattle. The conclusion is that people continue to underestimate how much the environment is deteriorating due to societal development. For the sake of the planet and all life on it, humanity should strike a balance between environmental preservation and economic growth. Nonetheless, the goal of this thesis is to shed light on environmental changes occurring in Seattle and to identify and address issues that improve the planet.

This paper takes A-share manufacturing listed companies from 2002 to 2020 as the research sample, proposes the service optimization effect of emissions trading on enterprises extending downstream and the innovation incentive effect of upward climb, and uses DID method to study the impact of emissions policy on the choice of manufacturing industry transformation and upgrading path. Through empirical studies, it was found that the emissions trading policy improves the embedded service level of manufacturing enterprises, strips off the blended services; however, it fails to significantly improve the green innovation level of manufacturing enterprises, and its innovation incentive effect fails to appear.The findings provide a theoretical basis for improving the emission right allocation mechanism, establishing a sound environmental regulatory system, and promoting the development of the economy in the direction of green and sustainable development.

With rapid urbanization, urban water supply pipeline accidents have become increasingly prevalent. Understanding their common occurrences and prevention strategies is crucial for ensuring water safety. This study aims to explore the underlying causes of such incidents, ranging from ageing infrastructure to design flaws and construction issues. By analyzing existing preventive measures and international best practices, this research seeks to contribute to the development of effective strategies for mitigating urban water supply pipeline accidents. This thesis focuses on urban water supply pipeline accidents, addressing both common incidents and preventive measures. It begins by highlighting the unique challenges of fires in high-rise buildings, including their rapid spread and the difficulties in evacuating occupants. The paper then emphasizes the importance of innovative fire-resistant materials, classifying them into various types such as phenolic, sprayed, calcium silicate, and lightweight composite materials. Each type is explored in detail, discussing their properties and potential applications. Finally, the paper outlines the practical use of these materials in fire engineering, emphasizing their role in enhancing the safety and resilience of urban infrastructure. Overall, this thesis contributes valuable insights to understanding and mitigating the risks associated with urban water supply pipeline accidents, promoting disaster prevention and management efforts.

This paper aims to investigate the distance of seed dispersal in diverse environments and explore the intricate relationship between invasive species and dandelions. Specifically, this paper intends to focus on the scenario where a single dandelion, in its “puffball” stage, is situated within an open one-hectare plot of land. The objective is to develop a mathematical model capable of predicting the dissemination of dandelions throughout 1, 2, 3, 6, and 12 months. This model will help people understand the temporal dynamics of dandelion expansion in a controlled setting. Furthermore, for the invasive species model, this paper proposes to initially identify and select several species known for their invasive properties. Subsequently, we will utilize modeling techniques to calculate an impact factor, which quantifies the extent to which these invasive species affect their environment.