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Influences of the Proportion and Pattern of Green Infrastructure on Stormwater Runoff Reduction and Water Quality Improvement

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dc.contributor.authorPan, Jiaozheng
dc.contributor.chairBrooks, Nancy
dc.contributor.chairDonaghy, Kieran Patrick
dc.date.accessioned2018-04-26T14:17:14Z
dc.date.available2018-04-26T14:17:14Z
dc.date.issued2017-08-30
dc.description.abstractGreen infrastructure plays an important role in reducing stormwater runoff and improve water quality. However, the influence of the proportion and pattern of green infrastructure on runoff reduction and water quality improvement has been an unexplored issue. In this thesis, we use SIMMAP model to simulate stochastic green infrastructure patterns, and calculate pattern indices. Furthermore, we import those patterns into SWAT model to simulate the rainfall-runoff process, and calculate the hydrological and water quality outcomes. We conducted regression analysis between the marginal effectiveness (such as runoff reduction, organic nitrogen, and phosphorus improvement) and the green infrastructure ratio. As a result, we found that 30% might be an optimal proportion for green infrastructure planning. Besides, the correlation analysis outcome between hydrological & water quality indices and pattern indices implies that larger sized, more convoluted, and more aggregated green infrastructure patterns have higher effectiveness to mitigate runoff risks and depollute water.
dc.identifier.doihttps://doi.org/10.7298/X4CJ8BNW
dc.identifier.otherPan_cornell_0058O_10160
dc.identifier.otherhttp://dissertations.umi.com/cornell:10160
dc.identifier.otherbibid: 10361573
dc.identifier.urihttps://hdl.handle.net/1813/56896
dc.language.isoen_US
dc.subjectproportion
dc.subjectrunoff reduction
dc.subjectwater quality improvement
dc.subjectLand use planning
dc.subjectRegional studies
dc.subjectUrban planning
dc.subjectgreen infrastructure
dc.subjectpattern
dc.titleInfluences of the Proportion and Pattern of Green Infrastructure on Stormwater Runoff Reduction and Water Quality Improvement
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplineCity and Regional Planning
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., City and Regional Planning

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