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Climate Change - Springer Nature

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Last Updated: 19 September 2022

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Impact of Climate Change on Dam Safety

Dams are designed to solve surface water problems. Engineers have to be able to assess the impact on dam safety as climate change has been widely understood by people around the world, engineers must be able to consider the consequences of climate change. This research suggests a method for investigating the effects of climate change on gated spillway dams' safety. Climate change results from 1998 to 2020 from the Pengadang Station were used to demonstrate the application of the new procedure. The Intergovernmental Panel on Climate Change and maximum daily rainfall records from 1998 to 2020 were used to demonstrate the implementation of the new method. The results indicate that the proposed procedure can be used to assess the effects of climate change on dam stability. It's also known that climate change has a significant influence on the rate of rising flood levels in the Batujai Reservoir.

Source link: https://doi.org/10.1007/978-981-16-9348-9_14


Impact of Climate Change on Daily Maximum Temperature of the Brahmaputra River Basin

Global climate change is mainly due to the emission of greenhouse gases. Both temperature and precipitation cycles are linked to climate change. In turn, both the quantity and quality of natural water bodies influence water sources. The Brahmaputra River Basin in particular, as well as weather components, is also vulnerable to global climate change's effects. Initially, the interpolated and bias corrected historical variables of several GCMs were determined to find one GCM that was appropriate for the present area.

Source link: https://doi.org/10.1007/978-981-16-7535-5_2


The Role of Artificial Intelligence (AI) in Creating Smart Energy Infrastructure for the Next Generation and Protection Climate Change

Renewable energy's use around the world can result in the construction of a smart energy infrastructure that will help in defending climate change and avoids natural resource depletion. The issue relating to energy conservation in the construction and the development of smart energy infrastructure for the next generation is a multifaceted problem that is present in many nations. This paper reviews secondary data sources in exploring the increasing role of AI in the design of smart energy infrastructure and establishing the appropriate steps of implementing such technologies for safeguarding climate change in a sustainable manner.

Source link: https://doi.org/10.1007/978-981-19-0108-9_47


Enriching the Decision-Aiding Process for Asset Management Programs for Climate Change Preparedness in Small Municipalities on the Prairies

Local governments should be the catalysts in resilient communities as a result of climate change, according to the Intergovernmental Panel on Climate Change. When it comes to the reinvestment of an ageing infrastructure network, resilient municipalities must make decisions that factor in climate change.

Source link: https://doi.org/10.1007/978-981-19-1061-6_30


Climate Change and Its Impact on Surface Runoff Characteristics of an Urban Catchment

The risk of flooding in cities that can be attributed to several causes has increased as a result of urbanization and climate change. The present study seeks to investigate the effects of climate change on urbanized watershed's surface runoff characteristics. Climate models that have demonstrated exceptional results in forecasting the future climate have been used to generate the future climate map corresponding to the study area. To obtain the corresponding climatic variables, the GCM outputs must be downscaled to the local/regional scale as the GCM outputs are for a larger grid. According to the precipitation results, there has been an increase in precipitation in the future. The present research has also revealed that continuous rainfall simulation had resulted in underestimate of the urban runoff. Therefore, event-based runoff simulation would be a more appropriate approach for characterizing the future urban flood events.

Source link: https://doi.org/10.1007/978-981-16-7535-5_1


Designing a Digital Shadow for Pasture Management to Mitigate the Impact of Climate Change

Smart farming was the introduction of technology in farming, which made pasture management more accessible and cost-effective, as well as cost-effective. Smart farming incorporates advanced technological technologies such as Internet of Things, big data, and cloud computing. However, with the use of these new technological tools, pasture management still has a difficult challenge. Pastures are heavily dependent on climatic conditions, so climate change has a major influence on pasture management. With the onset of climate change, it has become a challenge for livestock farmers to predict weather conditions; therefore, it has become impossible for decision makers to cope more effectively with climate variability's impacts. This paper explores the models used in designing a digital shadow as the first step toward building a digital twin.

Source link: https://doi.org/10.1007/978-981-19-0095-2_35


Climate Change Adaptation of CSA Standards for Masonry Connectors

CSA A370:14 Connectors for masonry were a high priority for upgrade and adaptation to climate change, according to the CSA Group's most recent review of its requirements. Climate change has resulted in altered precipitation patterns in several regions in Canada, and models forecast that these changes will persist in the future; a analysis of the building rules for corrosion resistance of masonry ties is therefore warranted. For the next round of standards updates, the York University research team is currently involved in a review of current CSA masonry requirements with the intention of making recommendations for climate change enhancements to CSA standards committees. This research paper provides an summary of the state of current knowledge regarding moisture in masonry wall cavities as well as causes of masonry wall cavities' corrosion.

Source link: https://doi.org/10.1007/978-981-19-1004-3_14


Application of Machine Learning in Climate Change for Transport Sector—Literature Review and Data Preparation

An attempt was made in this chapter to examine various works of literature from various angles, such as how transportation and climate change are interrelated. Several research studies carried out in the transportation industry with the support of machine learning and deep learning algorithms are reviewed. The authors' most popular machine learning tools include k-nearest neighbor, decision tree, logistic regression, etc. Lastly, there is a discussion on the materials and techniques used for exploratory data analysis and designing a model.

Source link: https://doi.org/10.1007/978-981-19-5244-9_8


Role of Banking Sector in Climate Change—Literature Review and Data Preparation

Climate change is one of the most significant environmental issues to cope with, and it is getting more severe day by day. The Rainforest Action Network website, a non-profit environmental group, has information regarding investment by banks in various fossil fuel sectors. It has been found that there is a connection between bank investment in seven fossil fuel sectors and climate change impacts throughout the course of data source selection and description. JPMorgan Chase has emerged as the bank that invests the most in the entire fossil fuel industry.

Source link: https://doi.org/10.1007/978-981-19-5244-9_2

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions