東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Development of a stormwater model fo...

Sun, Ning.

Linked to FindBook

Google Book

Amazon

博客來

Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds./
Author:	Sun, Ning.
Description:	130 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.
Contained By:	Dissertation Abstracts International74-04B(E).
Subject:	Environmental science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3545193
ISBN:	9781267772459

Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds.
Sun, Ning.

Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds. - 130 p.

Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.

Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2012.

This item is not available from ProQuest Dissertations & Theses.

As the world becomes increasingly urban, the need to improve understanding and prediction of urban hydrology becomes increasingly important. This case study conducted in the urban sewersheds in the City of Syracuse, New York, focused on one of the most difficult aspects of urban hydrology, stormwater runoff, which contributes to increased flooding and water quality issues around the world. Efforts are underway in many cities to reduce storm-driven runoff volumes through implementation of green infrastructure (GI), but few tools provide the means to assess the potential reductions of these strategies prior to investment and implementation. Therefore, I modified the EPA Storm Water Management Model (SWMM) to simulate runoff at different spatial scales for the studied sewersheds under current conditions and post GI incorporation. The developed model was calibrated and validated through the newly incorporated Generalized Likelihood Uncertainty Estimation (GLUE) methodology. The simulation results indicated that GLUE could significantly reduce uncertainties associated with model input parameters and predictions. Through model validation, I found that the parameters calibrated for the micro-scale SWMM model, compared to those for the macro-scale model, could provide more accurate flow predictions for other sites with different land cover and configuration characteristics. I developed a GI conceptual model to simulate the hydrological behavior of various GI technologies. Using the calibrated micro-scale model in conjunction with this newly developed GI model, a coupled human-natural stormwater model was developed to provide more realistic estimates of potential urban stormwater mitigation at the sewershed scale under different GI implementation scenarios. The modeled scenarios include anticipated government tree planting scenario, and household GI participation scenario that was derived from the citizen surveys. The scenario modeling results indicated that human preference-driven GI implementation could contribute significantly to urban stormwater reduction. In conclusion, the modeling framework developed in this research can be used by local communities and decision makers to support sustainable stormwater management practices while meeting human preferences and needs.

ISBN: 9781267772459Subjects--Topical Terms:

677245
Environmental science.

Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds.
LDR:03368nmm a2200277 4500 001 2116296
005 20170417073919.5
008 180830s2012 ||||||||||||||||| ||eng d
020 $a 9781267772459
035 $a (MiAaPQ)AAI3545193
035 $a AAI3545193
040 $a MiAaPQ $c MiAaPQ
100 1 $a Sun, Ning. $3 1257771
245 1 0 $a Development of a stormwater model for testing the hydrological effectiveness of green infrastructure implementation scenarios in urban sewersheds.
300 $a 130 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-04(E), Section: B.
500 $a Advisers: Myrna Hall; Lianjun Zhang.
502 $a Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2012.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a As the world becomes increasingly urban, the need to improve understanding and prediction of urban hydrology becomes increasingly important. This case study conducted in the urban sewersheds in the City of Syracuse, New York, focused on one of the most difficult aspects of urban hydrology, stormwater runoff, which contributes to increased flooding and water quality issues around the world. Efforts are underway in many cities to reduce storm-driven runoff volumes through implementation of green infrastructure (GI), but few tools provide the means to assess the potential reductions of these strategies prior to investment and implementation. Therefore, I modified the EPA Storm Water Management Model (SWMM) to simulate runoff at different spatial scales for the studied sewersheds under current conditions and post GI incorporation. The developed model was calibrated and validated through the newly incorporated Generalized Likelihood Uncertainty Estimation (GLUE) methodology. The simulation results indicated that GLUE could significantly reduce uncertainties associated with model input parameters and predictions. Through model validation, I found that the parameters calibrated for the micro-scale SWMM model, compared to those for the macro-scale model, could provide more accurate flow predictions for other sites with different land cover and configuration characteristics. I developed a GI conceptual model to simulate the hydrological behavior of various GI technologies. Using the calibrated micro-scale model in conjunction with this newly developed GI model, a coupled human-natural stormwater model was developed to provide more realistic estimates of potential urban stormwater mitigation at the sewershed scale under different GI implementation scenarios. The modeled scenarios include anticipated government tree planting scenario, and household GI participation scenario that was derived from the citizen surveys. The scenario modeling results indicated that human preference-driven GI implementation could contribute significantly to urban stormwater reduction. In conclusion, the modeling framework developed in this research can be used by local communities and decision makers to support sustainable stormwater management practices while meeting human preferences and needs.
590 $a School code: 0213.
650 4 $a Environmental science. $3 677245
690 $a 0768
710 2 $a State University of New York College of Environmental Science and Forestry. $b Environmental Science. $3 1029999
773 0 $t Dissertation Abstracts International $g 74-04B(E).
790 $a 0213
791 $a Ph.D.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3545193