Thesis Abstract

Abstract
Stormwater management in urban areas is crucial to mitigate the adverse impacts of urbanization on the environment and public health. This thesis presents an in-depth analysis and design approach for sustainable stormwater management systems in urban areas, aiming to address the challenges associated with increased impervious surfaces, flooding, water pollution, and infrastructure resilience. The study focuses on integrating green infrastructure, low-impact development techniques, and innovative engineering solutions to achieve effective stormwater management while promoting environmental sustainability. The introduction provides an overview of the importance of sustainable stormwater management in urban areas, highlighting the need for innovative solutions to address the challenges posed by urbanization. The background of the study discusses the current state of stormwater management practices, emphasizing the limitations of conventional approaches and the potential benefits of sustainable solutions. The problem statement identifies key issues related to urban stormwater management, such as flooding, water pollution, and infrastructure strain, underscoring the urgency for sustainable design strategies. The objectives of the study include evaluating the performance of existing stormwater management systems, analyzing the effectiveness of green infrastructure practices, and developing design guidelines for sustainable stormwater management in urban areas. The study also outlines the limitations and scope of the research, acknowledging the challenges and constraints that may affect the implementation of sustainable stormwater solutions. The literature review presents a comprehensive analysis of previous studies, research findings, and best practices related to sustainable stormwater management. The review covers various aspects of urban stormwater management, including green infrastructure technologies, low-impact development strategies, water quality improvement measures, and the integration of nature-based solutions in urban design. The research methodology outlines the approach taken to investigate and analyze sustainable stormwater management systems in urban areas. The methodology includes data collection methods, site assessments, modeling techniques, and design processes used to evaluate the performance and effectiveness of different stormwater management strategies. The discussion of findings presents the results of the research, highlighting the performance, benefits, and challenges of sustainable stormwater management systems. The findings demonstrate the potential of green infrastructure and low-impact development techniques in reducing stormwater runoff, improving water quality, and enhancing urban resilience to climate change impacts. In conclusion, the study emphasizes the importance of sustainable stormwater management in urban areas and the need for integrated design approaches that prioritize environmental sustainability and community well-being. The thesis provides valuable insights and recommendations for policymakers, urban planners, engineers, and stakeholders to promote the adoption of sustainable stormwater management practices and create more resilient and livable urban environments.

Thesis Overview

The project titled "Analysis and design of sustainable stormwater management systems in urban areas" aims to address the pressing need for effective stormwater management solutions in urban environments. Urban areas face numerous challenges related to stormwater runoff, including increased flooding, water pollution, and strain on existing drainage systems. This research seeks to investigate innovative and sustainable approaches to managing stormwater in urban settings to mitigate these issues. The primary focus of this project is to analyze the current stormwater management practices in urban areas and identify their shortcomings. By conducting a comprehensive literature review, the research will explore existing strategies and technologies for stormwater management, highlighting their strengths and limitations. This review will serve as the foundation for proposing new and improved stormwater management systems tailored to urban environments. The research methodology will involve a combination of quantitative analysis, modeling, and simulation techniques to evaluate the performance of different stormwater management strategies. Field data collection and case studies will be utilized to validate the effectiveness of proposed solutions in real-world urban settings. The research will also consider factors such as land use patterns, climate change impacts, and regulatory frameworks in the design of sustainable stormwater management systems. One of the key objectives of this project is to develop guidelines and best practices for implementing sustainable stormwater management systems in urban areas. By integrating green infrastructure elements, such as green roofs, permeable pavements, and rain gardens, the research aims to enhance the resilience of urban areas to stormwater challenges while promoting environmental sustainability. The significance of this research lies in its potential to contribute to the development of resilient and eco-friendly stormwater management solutions for urban communities. The findings of this study are expected to inform urban planners, engineers, and policymakers on effective strategies for mitigating the impacts of stormwater runoff in densely populated areas. By promoting the adoption of sustainable stormwater management practices, this research has the potential to enhance the overall quality of life in urban environments. In conclusion, the project "Analysis and design of sustainable stormwater management systems in urban areas" seeks to address the critical need for innovative and environmentally conscious stormwater management solutions in urban settings. Through a comprehensive analysis of existing practices and the development of sustainable design guidelines, this research aims to pave the way for more resilient and sustainable urban water management systems.