A GIS-Based LID Framework for Sustainable Urban Runoff Management

Simple item page
dc.contributor.advisorKhan, Usman T.
dc.contributor.advisorJadidi, Mojgan
dc.contributor.authorKaykhosravi, Sarah
dc.date.accessioned2021-11-15T15:32:52Z
dc.date.available2021-11-15T15:32:52Z
dc.date.copyright2021-06
dc.date.issued2021-11-15
dc.date.updated2021-11-15T15:32:52Z
dc.degree.disciplineCivil Engineering
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractLow Impact Development (LID) is one of the most popular sustainable techniques for runoff reduction in urban areas. LID mimics nature by retaining or detaining the runoff at the source. Examples of LID include bioretention cells, green roofs, and porous pavements. While the primary purpose of LID is runoff reduction, several lateral benefits (environmental and socioeconomic) are accrued from LID. Even though many studies have shown the effectiveness of LID on runoff reduction, investigation around many other aspects of LID has remained limited. Out of all these aspects, there is a significant lack of a systematic decision-making model to rank LID solutions (suggest where to implement LID and what type of LID to use) to maximize the LID benefits. The objective of this dissertation is to develop an innovative simplified geospatial model (referred to as LID-Solution Evaluation and Ranking ApproacH (SERAH)) to rank the LID solutions. SERAH develops a Hydrological-Hydraulic Index (HHI) and integrates it into a Multi Criteria Decision Making (MCDM) model considering the key criteria contributing to the ranking LID solutions. In this research, the application and effectiveness of SERAH and its corresponding indices were examined under various case scenarios and case studies (e.g., City of Toronto as the study site). Also, SERAH was validated against physical models such as HEC-HMS and PCSWMM. Further, the HHI was used for modelling climate change and urbanization scenarios for three Canadian metropolitans (Toronto, Montreal, and Vancouver). The results of this study show that, unlike the traditional methods which use stormwater modeling for ranking LID solutions, SERAH effectively ranks LID solutions using geospatial analysis. SERAH and its corresponding indices are universally applicable since they have been deductively developed and like many similar methods are not induced and custom-built around a sample dataset. The results of this research lend themselves to the strategic planning of multifunctional sustainable infrastructures (LID); give a holistic insight about current and future demands for LID; integrate multiple disciplines (socioeconomic, environmental, geography, and hydrology) to find comprehensive sustainable solutions; and suggest a future need for similar multidisciplinary research by highlighting the gaps and limitations.
dc.identifier.urihttp://hdl.handle.net/10315/38726
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectWater resources management
dc.subject.keywordsCivil engineering
dc.subject.keywordsStormwater
dc.subject.keywordsLow impact development
dc.subject.keywordsGIS
dc.subject.keywordsMulticriteria decision making
dc.subject.keywordsRunoff
dc.subject.keywordsUrban hydrology
dc.titleA GIS-Based LID Framework for Sustainable Urban Runoff Management
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Kaykhosravi_Sarah_2021_PhD.pdf
Size:
13.95 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description:
Download

Collections

Civil Engineering

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.