A web-based geographic information platform to support urban adaptation to climate change

Philip J. Nugent; Olufemi A. Omitaomu; Esther S. Parish; Rui Mei; Kathleen M. Ernst; Mariya Absar; Linda Sylvester

doi:10.1007/978-3-319-22786-3_33

A web-based geographic information platform to support urban adaptation to climate change

Philip J. Nugent, Olufemi A. Omitaomu, Esther S. Parish, Rui Mei, Kathleen M. Ernst, Mariya Absar, Linda Sylvester

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Increased frequency and intensity of extreme weather events and increasing population growth in cities bring to the forefront the need to easily evaluate risks in urban landscapes regarding critical infrastructure and vulnerable populations. In this chapter, we present an integrated framework for an urban climate adaptation tool (Urban-CAT) that will help cities plan for, rather than react to, possible risks to urban infrastructure and populations due to climate change. The core of the framework focuses on reducing risk by bringing together disparate, high-resolution data of risk indicators to characterize urban landscape and to develop resilience profiles. Additionally, the framework integrates climate and population growth data to better understand future impacts of these stressors on urban resiliency to develop effective adaptation strategies aimed at reducing socioeconomic costs associated with extreme weather events. This framework requires integration of the multitude of disparate, high-resolution data for analysis in a dynamic web environment. We address how to achieve this integration through the development of a distributed, high-performance geoprocessing engine.

Original language	English
Title of host publication	Advances in Geocomputation - Geocomputation 2015—The 13th International Conference
Editors	Daniel A. Griffith, Yongwan Chun, Denis J. Dean
Publisher	Springer Heidelberg
Pages	371-381
Number of pages	11
ISBN (Print)	9783319227856
DOIs	https://doi.org/10.1007/978-3-319-22786-3_33
State	Published - 2017
Event	13th International Conference on Advances in Geocomputation, Geocomputation 2015 - Dallas, United States Duration: May 20 2015 → May 23 2015

Publication series

Name	Advances in Geographic Information Science
ISSN (Print)	1867-2434
ISSN (Electronic)	1867-2442

Conference

Conference	13th International Conference on Advances in Geocomputation, Geocomputation 2015
Country/Territory	United States
City	Dallas
Period	05/20/15 → 05/23/15

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains, and the publisher by accepting the article for publication, acknowledges that the United States Government retains, a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

Keywords

Climate adaptation
Distributed computing
Green infrastructure
Raster processing
Urban resilience

Access to Document

10.1007/978-3-319-22786-3_33

Cite this

Nugent, P. J., Omitaomu, O. A., Parish, E. S., Mei, R., Ernst, K. M., Absar, M., & Sylvester, L. (2017). A web-based geographic information platform to support urban adaptation to climate change. In D. A. Griffith, Y. Chun, & D. J. Dean (Eds.), Advances in Geocomputation - Geocomputation 2015—The 13th International Conference (pp. 371-381). (Advances in Geographic Information Science). Springer Heidelberg. https://doi.org/10.1007/978-3-319-22786-3_33

Nugent, Philip J. ; Omitaomu, Olufemi A. ; Parish, Esther S. et al. / A web-based geographic information platform to support urban adaptation to climate change. Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. editor / Daniel A. Griffith ; Yongwan Chun ; Denis J. Dean. Springer Heidelberg, 2017. pp. 371-381 (Advances in Geographic Information Science).

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abstract = "Increased frequency and intensity of extreme weather events and increasing population growth in cities bring to the forefront the need to easily evaluate risks in urban landscapes regarding critical infrastructure and vulnerable populations. In this chapter, we present an integrated framework for an urban climate adaptation tool (Urban-CAT) that will help cities plan for, rather than react to, possible risks to urban infrastructure and populations due to climate change. The core of the framework focuses on reducing risk by bringing together disparate, high-resolution data of risk indicators to characterize urban landscape and to develop resilience profiles. Additionally, the framework integrates climate and population growth data to better understand future impacts of these stressors on urban resiliency to develop effective adaptation strategies aimed at reducing socioeconomic costs associated with extreme weather events. This framework requires integration of the multitude of disparate, high-resolution data for analysis in a dynamic web environment. We address how to achieve this integration through the development of a distributed, high-performance geoprocessing engine.",

keywords = "Climate adaptation, Distributed computing, Green infrastructure, Raster processing, Urban resilience",

author = "Nugent, {Philip J.} and Omitaomu, {Olufemi A.} and Parish, {Esther S.} and Rui Mei and Ernst, {Kathleen M.} and Mariya Absar and Linda Sylvester",

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Nugent, PJ, Omitaomu, OA , Parish, ES, Mei, R, Ernst, KM, Absar, M & Sylvester, L 2017, A web-based geographic information platform to support urban adaptation to climate change. in DA Griffith, Y Chun & DJ Dean (eds), Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. Advances in Geographic Information Science, Springer Heidelberg, pp. 371-381, 13th International Conference on Advances in Geocomputation, Geocomputation 2015, Dallas, United States, 05/20/15. https://doi.org/10.1007/978-3-319-22786-3_33

A web-based geographic information platform to support urban adaptation to climate change. / Nugent, Philip J.; Omitaomu, Olufemi A.; Parish, Esther S. et al.
Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. ed. / Daniel A. Griffith; Yongwan Chun; Denis J. Dean. Springer Heidelberg, 2017. p. 371-381 (Advances in Geographic Information Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Nugent, Philip J.

AU - Omitaomu, Olufemi A.

AU - Parish, Esther S.

AU - Mei, Rui

AU - Ernst, Kathleen M.

AU - Absar, Mariya

AU - Sylvester, Linda

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2017.

PY - 2017

Y1 - 2017

N2 - Increased frequency and intensity of extreme weather events and increasing population growth in cities bring to the forefront the need to easily evaluate risks in urban landscapes regarding critical infrastructure and vulnerable populations. In this chapter, we present an integrated framework for an urban climate adaptation tool (Urban-CAT) that will help cities plan for, rather than react to, possible risks to urban infrastructure and populations due to climate change. The core of the framework focuses on reducing risk by bringing together disparate, high-resolution data of risk indicators to characterize urban landscape and to develop resilience profiles. Additionally, the framework integrates climate and population growth data to better understand future impacts of these stressors on urban resiliency to develop effective adaptation strategies aimed at reducing socioeconomic costs associated with extreme weather events. This framework requires integration of the multitude of disparate, high-resolution data for analysis in a dynamic web environment. We address how to achieve this integration through the development of a distributed, high-performance geoprocessing engine.

AB - Increased frequency and intensity of extreme weather events and increasing population growth in cities bring to the forefront the need to easily evaluate risks in urban landscapes regarding critical infrastructure and vulnerable populations. In this chapter, we present an integrated framework for an urban climate adaptation tool (Urban-CAT) that will help cities plan for, rather than react to, possible risks to urban infrastructure and populations due to climate change. The core of the framework focuses on reducing risk by bringing together disparate, high-resolution data of risk indicators to characterize urban landscape and to develop resilience profiles. Additionally, the framework integrates climate and population growth data to better understand future impacts of these stressors on urban resiliency to develop effective adaptation strategies aimed at reducing socioeconomic costs associated with extreme weather events. This framework requires integration of the multitude of disparate, high-resolution data for analysis in a dynamic web environment. We address how to achieve this integration through the development of a distributed, high-performance geoprocessing engine.

KW - Climate adaptation

KW - Distributed computing

KW - Green infrastructure

KW - Raster processing

KW - Urban resilience

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M3 - Conference contribution

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BT - Advances in Geocomputation - Geocomputation 2015—The 13th International Conference

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A2 - Dean, Denis J.

PB - Springer Heidelberg

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Y2 - 20 May 2015 through 23 May 2015

ER -

Nugent PJ, Omitaomu OA , Parish ES, Mei R, Ernst KM, Absar M et al. A web-based geographic information platform to support urban adaptation to climate change. In Griffith DA, Chun Y, Dean DJ, editors, Advances in Geocomputation - Geocomputation 2015—The 13th International Conference. Springer Heidelberg. 2017. p. 371-381. (Advances in Geographic Information Science). doi: 10.1007/978-3-319-22786-3_33

A web-based geographic information platform to support urban adaptation to climate change

Abstract

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Keywords

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