GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau
Rainfall-runoff models play an important role in urban water resource management. The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainag...
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| Veröffentlicht in: | Environmental earth sciences 2009-11, Vol.59 (2), p.465-472 |
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| creator | Dongquan, Zhao Jining, Chen Haozheng, Wang Qingyuan, Tong Shangbing, Cao Zheng, Sheng |
| description | Rainfall-runoff models play an important role in urban water resource management. The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainage systems. In an ideal situation, the SWMM model would be designed and analyzed using a collection of catchment modeling systems. Traditionally, catchment discretization for rainfall-runoff modeling is performed manually on watershed maps, a time-consuming job with less-than-accurate results. An alternative approach to catchment discretization based on geographic information system (GIS) is proposed in this paper. The automatic discretization approach was successfully applied to rainfall-runoff modeling in Macau using a SWMM model. The results showed that the proposed approach outperformed the conventional catchment-discretization method in terms of producing meaningful parameters and avoiding most of the tedious preliminary tasks. |
| doi_str_mv | 10.1007/s12665-009-0045-1 |
| format | Article |
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The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainage systems. In an ideal situation, the SWMM model would be designed and analyzed using a collection of catchment modeling systems. Traditionally, catchment discretization for rainfall-runoff modeling is performed manually on watershed maps, a time-consuming job with less-than-accurate results. An alternative approach to catchment discretization based on geographic information system (GIS) is proposed in this paper. The automatic discretization approach was successfully applied to rainfall-runoff modeling in Macau using a SWMM model. The results showed that the proposed approach outperformed the conventional catchment-discretization method in terms of producing meaningful parameters and avoiding most of the tedious preliminary tasks.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-009-0045-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Areal geology ; Areal geology. Maps ; Biogeosciences ; Catchments ; Drainage systems ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Environmental protection ; Environmental science ; Environmental Science and Engineering ; Exact sciences and technology ; Geochemistry ; Geographic information systems ; Geologic maps, cartography ; Geology ; Hydrology ; Hydrology. Hydrogeology ; Hydrology/Water Resources ; Original Article ; Rain ; Rainfall-runoff relationships ; Remote sensing ; Runoff ; Stormwater ; Stormwater management ; Terrestrial Pollution ; Urban drainage ; Urban runoff ; Water resources management</subject><ispartof>Environmental earth sciences, 2009-11, Vol.59 (2), p.465-472</ispartof><rights>Springer Verlag 2009</rights><rights>2015 INIST-CNRS</rights><rights>Springer-Verlag 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a401t-7f1c613b22f4218cbff351228d41e4b813f82539c60180b5ecfe294ff54d0cab3</citedby><cites>FETCH-LOGICAL-a401t-7f1c613b22f4218cbff351228d41e4b813f82539c60180b5ecfe294ff54d0cab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12665-009-0045-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-009-0045-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22446423$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Dongquan, Zhao</creatorcontrib><creatorcontrib>Jining, Chen</creatorcontrib><creatorcontrib>Haozheng, Wang</creatorcontrib><creatorcontrib>Qingyuan, Tong</creatorcontrib><creatorcontrib>Shangbing, Cao</creatorcontrib><creatorcontrib>Zheng, Sheng</creatorcontrib><title>GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Rainfall-runoff models play an important role in urban water resource management. The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainage systems. In an ideal situation, the SWMM model would be designed and analyzed using a collection of catchment modeling systems. Traditionally, catchment discretization for rainfall-runoff modeling is performed manually on watershed maps, a time-consuming job with less-than-accurate results. An alternative approach to catchment discretization based on geographic information system (GIS) is proposed in this paper. The automatic discretization approach was successfully applied to rainfall-runoff modeling in Macau using a SWMM model. 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Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Original Article</subject><subject>Rain</subject><subject>Rainfall-runoff relationships</subject><subject>Remote sensing</subject><subject>Runoff</subject><subject>Stormwater</subject><subject>Stormwater management</subject><subject>Terrestrial Pollution</subject><subject>Urban drainage</subject><subject>Urban runoff</subject><subject>Water resources management</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU9rHSEUxaWk0PCSD9CdFArZ2HjV8TndlZCkgZQu2q7ljqPJhBnn1T-L9NPXxwsJBCJcvejvHg8cQj4C_wKcb88zCK07xnnfSnUM3pFjMFozLfr-6Lk3_AM5zfmBtyVB9lwfk3J984sNmP1Iaxow0oRTDDjPLNW4hkCXdfTzFO9ozfu9EVjLumCZHHVY3P3iY2HjlF3yZfrX7teG7HZpRXf_lWKDsqe51PGRTpH-QIf1hLxvX2R_-nRuyJ-ry98X39ntz-ubi2-3DBWHwrYBnAY5CBGUAOOGEGQHQphRgVeDARmM6GTvNAfDh8674EWvQujUyB0OckPODrrNzd_qc7FL8-nnGaNfa7bApen6XhnZ0E-v0Ie1ptjcWWOAa71t1IbAAXJpzTn5YHdpWjA9NiW7T8IekrAtCbtPwkKb-fwkjNnhHBJGN-XnQSGU0krsDYgDl9tTvPPpxcDb4v8B_LqYbw</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Dongquan, Zhao</creator><creator>Jining, Chen</creator><creator>Haozheng, Wang</creator><creator>Qingyuan, Tong</creator><creator>Shangbing, Cao</creator><creator>Zheng, Sheng</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7QH</scope></search><sort><creationdate>20091101</creationdate><title>GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau</title><author>Dongquan, Zhao ; Jining, Chen ; Haozheng, Wang ; Qingyuan, Tong ; Shangbing, Cao ; Zheng, Sheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a401t-7f1c613b22f4218cbff351228d41e4b813f82539c60180b5ecfe294ff54d0cab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Areal geology</topic><topic>Areal geology. Maps</topic><topic>Biogeosciences</topic><topic>Catchments</topic><topic>Drainage systems</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth, ocean, space</topic><topic>Environmental protection</topic><topic>Environmental science</topic><topic>Environmental Science and Engineering</topic><topic>Exact sciences and technology</topic><topic>Geochemistry</topic><topic>Geographic information systems</topic><topic>Geologic maps, cartography</topic><topic>Geology</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Original Article</topic><topic>Rain</topic><topic>Rainfall-runoff relationships</topic><topic>Remote sensing</topic><topic>Runoff</topic><topic>Stormwater</topic><topic>Stormwater management</topic><topic>Terrestrial Pollution</topic><topic>Urban drainage</topic><topic>Urban runoff</topic><topic>Water resources management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dongquan, Zhao</creatorcontrib><creatorcontrib>Jining, Chen</creatorcontrib><creatorcontrib>Haozheng, Wang</creatorcontrib><creatorcontrib>Qingyuan, Tong</creatorcontrib><creatorcontrib>Shangbing, Cao</creatorcontrib><creatorcontrib>Zheng, Sheng</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dongquan, Zhao</au><au>Jining, Chen</au><au>Haozheng, Wang</au><au>Qingyuan, Tong</au><au>Shangbing, Cao</au><au>Zheng, Sheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2009-11-01</date><risdate>2009</risdate><volume>59</volume><issue>2</issue><spage>465</spage><epage>472</epage><pages>465-472</pages><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>Rainfall-runoff models play an important role in urban water resource management. The storm water management model (SWMM) developed by the US Environmental Protection Agency (EPA) is a widely used dynamic rainfall-runoff model for analyzing quantity and quality problems associated with urban drainage systems. In an ideal situation, the SWMM model would be designed and analyzed using a collection of catchment modeling systems. Traditionally, catchment discretization for rainfall-runoff modeling is performed manually on watershed maps, a time-consuming job with less-than-accurate results. An alternative approach to catchment discretization based on geographic information system (GIS) is proposed in this paper. The automatic discretization approach was successfully applied to rainfall-runoff modeling in Macau using a SWMM model. The results showed that the proposed approach outperformed the conventional catchment-discretization method in terms of producing meaningful parameters and avoiding most of the tedious preliminary tasks.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s12665-009-0045-1</doi><tpages>8</tpages></addata></record> |
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| ispartof | Environmental earth sciences, 2009-11, Vol.59 (2), p.465-472 |
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| subjects | Areal geology Areal geology. Maps Biogeosciences Catchments Drainage systems Earth and Environmental Science Earth Sciences Earth, ocean, space Environmental protection Environmental science Environmental Science and Engineering Exact sciences and technology Geochemistry Geographic information systems Geologic maps, cartography Geology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Original Article Rain Rainfall-runoff relationships Remote sensing Runoff Stormwater Stormwater management Terrestrial Pollution Urban drainage Urban runoff Water resources management |
| title | GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau |
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