ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK
This study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to a lack of knowledge on the subject of urban drou...
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-8e4d4ec386fb47c38a1a3add87b733aa2020-11-24T22:39:15ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B274775110.5194/isprs-archives-XLI-B2-747-2016ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORKR. Obringer0X. Zhang1X. Zhang2K. Mallick3S. H. Alemohammad4D. Niyogi5D. Niyogi6Department Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USADepartment of Agronomy, Purdue University, West Lafayette, IN, USAKey Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, ChinaDepartment of ERIN, Luxembourg Institute Science and Technology, L-4422, Belvaux, LuxembourgDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USADepartment Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USADepartment of Agronomy, Purdue University, West Lafayette, IN, USAThis study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to a lack of knowledge on the subject of urban droughts and urban drought vulnerability. A critical part to assessing urban drought and implementing the necessary policies is determining drought conditions. Often the timing and severity of the drought can leave cities to enforce water restrictions, so accuracy of this determination has socioeconomic implications. To determine drought conditions, we need to know the water balance over the urban landscape, of which evapotranspiration (ET) is a key variable. However, ET data and models have high uncertainty when compared to other hydrological variables (i.e., precipitation). This is largely due to ill-defined empirical models for characterizing the urban surface resistance parameter (r<sub>s</sub>) that is used in ET calculations. We propose a method to estimate r<sub>s</sub> values using a combination of the Surface Temperature Initiated Closure (STIC) method that calculates regional evapotranspiration data and an inverted version of the Penman-Monteith equation. We use this approach across the region surrounding Indianapolis, IN (USA) from 2010-2014. We discuss the potential for this method to be integrated in to smart city framework to improve urban drought assessment.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/747/2016/isprs-archives-XLI-B2-747-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. Obringer X. Zhang X. Zhang K. Mallick S. H. Alemohammad D. Niyogi D. Niyogi |
spellingShingle |
R. Obringer X. Zhang X. Zhang K. Mallick S. H. Alemohammad D. Niyogi D. Niyogi ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
R. Obringer X. Zhang X. Zhang K. Mallick S. H. Alemohammad D. Niyogi D. Niyogi |
author_sort |
R. Obringer |
title |
ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK |
title_short |
ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK |
title_full |
ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK |
title_fullStr |
ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK |
title_full_unstemmed |
ASSESSING URBAN DROUGHTS IN A SMART CITY FRAMEWORK |
title_sort |
assessing urban droughts in a smart city framework |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2016-06-01 |
description |
This study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part
of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to a lack of knowledge
on the subject of urban droughts and urban drought vulnerability. A critical part to assessing urban drought and implementing the
necessary policies is determining drought conditions. Often the timing and severity of the drought can leave cities to enforce water
restrictions, so accuracy of this determination has socioeconomic implications. To determine drought conditions, we need to know the
water balance over the urban landscape, of which evapotranspiration (ET) is a key variable. However, ET data and models have high
uncertainty when compared to other hydrological variables (i.e., precipitation). This is largely due to ill-defined empirical models for
characterizing the urban surface resistance parameter (r<sub>s</sub>) that is used in ET calculations. We propose a method to estimate r<sub>s</sub> values
using a combination of the Surface Temperature Initiated Closure (STIC) method that calculates regional evapotranspiration data and
an inverted version of the Penman-Monteith equation. We use this approach across the region surrounding Indianapolis, IN (USA)
from 2010-2014. We discuss the potential for this method to be integrated in to smart city framework to improve urban drought
assessment. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/747/2016/isprs-archives-XLI-B2-747-2016.pdf |
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