A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies
This study develops and demonstrates the Integrated Urban Water Model (IUWM) for forecasting urban water demand with options to assess effects of water conservation and reuse. While water and energy balance drive hydrologic, storage and recycling simulations on a daily timestep, social and infrastru...
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Veröffentlicht in: | Environmental modelling & software : with environment data news 2017-11, Vol.97, p.213-228 |
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creator | Sharvelle, Sybil Dozier, Andre Arabi, Mazdak Reichel, Brad |
description | This study develops and demonstrates the Integrated Urban Water Model (IUWM) for forecasting urban water demand with options to assess effects of water conservation and reuse. While water and energy balance drive hydrologic, storage and recycling simulations on a daily timestep, social and infrastructural processes are resolved by spatially distributed parameters. IUWM is deployed as an online tool with geographical information system (GIS) interfaces, enhancing its ease of use and applicability at building to municipal scales. The performance of the model at varying spatial scales was evaluated with extensive water metering data for the City of Fort Collins, Colorado. The calibrated model provided very good estimates of demands at individual block group as well as the municipal service area. The capacity of IUWM for the assessment of the spatiotemporal variability of water consumption and effects of water demand management strategies under climate and urban growth scenarios is discussed.
•An urban water demand forecasting model called IUWM is developed with options for assessing impact from water conservation and reuse strategies.•IUWM is deployed as a platform independent web tool that can be accessed from commonly-used web browsers.•IUWM includes a GIS interface to enable geospatial mapping with components to access readily available data from public data warehouses.•IUWM can be reliably used to estimate indoor and outdoor water use.•Results show the applicability of IUWM to assess demand management strategies under climate change, population growth and land use change. |
doi_str_mv | 10.1016/j.envsoft.2017.08.009 |
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•An urban water demand forecasting model called IUWM is developed with options for assessing impact from water conservation and reuse strategies.•IUWM is deployed as a platform independent web tool that can be accessed from commonly-used web browsers.•IUWM includes a GIS interface to enable geospatial mapping with components to access readily available data from public data warehouses.•IUWM can be reliably used to estimate indoor and outdoor water use.•Results show the applicability of IUWM to assess demand management strategies under climate change, population growth and land use change.</description><identifier>ISSN: 1364-8152</identifier><identifier>EISSN: 1873-6726</identifier><identifier>DOI: 10.1016/j.envsoft.2017.08.009</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>climate ; Colorado ; Computer simulation ; computer software ; Demand ; Economic forecasting ; Energy balance ; Energy conservation ; Energy storage ; environmental models ; Fluid dynamics ; Forecasting ; Geographic information systems ; Hydrology ; Integrated urban water management ; Interfaces ; Mathematical models ; model validation ; Physical simulation ; recycling ; Satellite navigation systems ; Spatial discrimination ; spatial variation ; Supply-demand forecasting ; temporal variation ; Urban areas ; Urban development ; Urban sprawl ; urbanization ; Water conservation ; Water consumption ; Water demand ; Water demand forecasting ; Water management ; Water metering ; Water reuse ; Water supply ; world wide web</subject><ispartof>Environmental modelling & software : with environment data news, 2017-11, Vol.97, p.213-228</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Nov 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-237f44c0be70038e64a11a5beee95f8655282d53de764bd4b99b5e7c95a38a0a3</citedby><cites>FETCH-LOGICAL-c483t-237f44c0be70038e64a11a5beee95f8655282d53de764bd4b99b5e7c95a38a0a3</cites><orcidid>0000-0002-2130-835X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.envsoft.2017.08.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Sharvelle, Sybil</creatorcontrib><creatorcontrib>Dozier, Andre</creatorcontrib><creatorcontrib>Arabi, Mazdak</creatorcontrib><creatorcontrib>Reichel, Brad</creatorcontrib><title>A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies</title><title>Environmental modelling & software : with environment data news</title><description>This study develops and demonstrates the Integrated Urban Water Model (IUWM) for forecasting urban water demand with options to assess effects of water conservation and reuse. While water and energy balance drive hydrologic, storage and recycling simulations on a daily timestep, social and infrastructural processes are resolved by spatially distributed parameters. IUWM is deployed as an online tool with geographical information system (GIS) interfaces, enhancing its ease of use and applicability at building to municipal scales. The performance of the model at varying spatial scales was evaluated with extensive water metering data for the City of Fort Collins, Colorado. The calibrated model provided very good estimates of demands at individual block group as well as the municipal service area. The capacity of IUWM for the assessment of the spatiotemporal variability of water consumption and effects of water demand management strategies under climate and urban growth scenarios is discussed.
•An urban water demand forecasting model called IUWM is developed with options for assessing impact from water conservation and reuse strategies.•IUWM is deployed as a platform independent web tool that can be accessed from commonly-used web browsers.•IUWM includes a GIS interface to enable geospatial mapping with components to access readily available data from public data warehouses.•IUWM can be reliably used to estimate indoor and outdoor water use.•Results show the applicability of IUWM to assess demand management strategies under climate change, population growth and land use change.</description><subject>climate</subject><subject>Colorado</subject><subject>Computer simulation</subject><subject>computer software</subject><subject>Demand</subject><subject>Economic forecasting</subject><subject>Energy balance</subject><subject>Energy conservation</subject><subject>Energy storage</subject><subject>environmental models</subject><subject>Fluid dynamics</subject><subject>Forecasting</subject><subject>Geographic information systems</subject><subject>Hydrology</subject><subject>Integrated urban water management</subject><subject>Interfaces</subject><subject>Mathematical models</subject><subject>model validation</subject><subject>Physical simulation</subject><subject>recycling</subject><subject>Satellite navigation systems</subject><subject>Spatial discrimination</subject><subject>spatial variation</subject><subject>Supply-demand forecasting</subject><subject>temporal variation</subject><subject>Urban areas</subject><subject>Urban development</subject><subject>Urban sprawl</subject><subject>urbanization</subject><subject>Water conservation</subject><subject>Water consumption</subject><subject>Water demand</subject><subject>Water demand forecasting</subject><subject>Water management</subject><subject>Water metering</subject><subject>Water reuse</subject><subject>Water supply</subject><subject>world wide web</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkU1r3DAQhk1poGman1AQ9NKLXcn6sHwqITRNIdBLexZje7xo0UpbjXZDrv3l1XZzaS49zQfP-8LM2zTvBe8EF-bTtsN4pLSWrudi6LjtOB9fNZfCDrI1Q29e114a1Vqh-zfNW6It57z26rL5fcM2mGgPxUMITy1GmAIu7BEnVlIKbE2ZHfIEkT1CwcwW3EFcTmucgYqPG3aagQiJdhgLSyuDUNFYPY_4j7hKYYN_KSq5rjYe6V1zsUIgvH6uV83Puy8_bu_bh-9fv93ePLSzsrK0vRxWpWY-4cC5tGgUCAF6QsRRr9Zo3dt-0XLBwahpUdM4ThqHedQgLXCQV83Hs-8-p18HpOJ2nmYMASKmA7leCGPHXmtV0Q8v0G061INCpbiSUurRyErpMzXnRJRxdfvsd5CfnODulIzbuudk3CkZx62ryVTd57MO67VHj9nR7DHOuPj61OKW5P_j8Afhc5yN</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Sharvelle, Sybil</creator><creator>Dozier, Andre</creator><creator>Arabi, Mazdak</creator><creator>Reichel, Brad</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SC</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>SOI</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-2130-835X</orcidid></search><sort><creationdate>20171101</creationdate><title>A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies</title><author>Sharvelle, Sybil ; Dozier, Andre ; Arabi, Mazdak ; Reichel, Brad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-237f44c0be70038e64a11a5beee95f8655282d53de764bd4b99b5e7c95a38a0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>climate</topic><topic>Colorado</topic><topic>Computer simulation</topic><topic>computer software</topic><topic>Demand</topic><topic>Economic forecasting</topic><topic>Energy balance</topic><topic>Energy conservation</topic><topic>Energy storage</topic><topic>environmental models</topic><topic>Fluid dynamics</topic><topic>Forecasting</topic><topic>Geographic information systems</topic><topic>Hydrology</topic><topic>Integrated urban water management</topic><topic>Interfaces</topic><topic>Mathematical models</topic><topic>model validation</topic><topic>Physical simulation</topic><topic>recycling</topic><topic>Satellite navigation systems</topic><topic>Spatial discrimination</topic><topic>spatial variation</topic><topic>Supply-demand forecasting</topic><topic>temporal variation</topic><topic>Urban areas</topic><topic>Urban development</topic><topic>Urban sprawl</topic><topic>urbanization</topic><topic>Water conservation</topic><topic>Water consumption</topic><topic>Water demand</topic><topic>Water demand forecasting</topic><topic>Water management</topic><topic>Water metering</topic><topic>Water reuse</topic><topic>Water supply</topic><topic>world wide web</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharvelle, Sybil</creatorcontrib><creatorcontrib>Dozier, Andre</creatorcontrib><creatorcontrib>Arabi, Mazdak</creatorcontrib><creatorcontrib>Reichel, Brad</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharvelle, Sybil</au><au>Dozier, Andre</au><au>Arabi, Mazdak</au><au>Reichel, Brad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2017-11-01</date><risdate>2017</risdate><volume>97</volume><spage>213</spage><epage>228</epage><pages>213-228</pages><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>This study develops and demonstrates the Integrated Urban Water Model (IUWM) for forecasting urban water demand with options to assess effects of water conservation and reuse. While water and energy balance drive hydrologic, storage and recycling simulations on a daily timestep, social and infrastructural processes are resolved by spatially distributed parameters. IUWM is deployed as an online tool with geographical information system (GIS) interfaces, enhancing its ease of use and applicability at building to municipal scales. The performance of the model at varying spatial scales was evaluated with extensive water metering data for the City of Fort Collins, Colorado. The calibrated model provided very good estimates of demands at individual block group as well as the municipal service area. The capacity of IUWM for the assessment of the spatiotemporal variability of water consumption and effects of water demand management strategies under climate and urban growth scenarios is discussed.
•An urban water demand forecasting model called IUWM is developed with options for assessing impact from water conservation and reuse strategies.•IUWM is deployed as a platform independent web tool that can be accessed from commonly-used web browsers.•IUWM includes a GIS interface to enable geospatial mapping with components to access readily available data from public data warehouses.•IUWM can be reliably used to estimate indoor and outdoor water use.•Results show the applicability of IUWM to assess demand management strategies under climate change, population growth and land use change.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2017.08.009</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-2130-835X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | climate Colorado Computer simulation computer software Demand Economic forecasting Energy balance Energy conservation Energy storage environmental models Fluid dynamics Forecasting Geographic information systems Hydrology Integrated urban water management Interfaces Mathematical models model validation Physical simulation recycling Satellite navigation systems Spatial discrimination spatial variation Supply-demand forecasting temporal variation Urban areas Urban development Urban sprawl urbanization Water conservation Water consumption Water demand Water demand forecasting Water management Water metering Water reuse Water supply world wide web |
title | A geospatially-enabled web tool for urban water demand forecasting and assessment of alternative urban water management strategies |
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