Impacts of Climate Change on Urban Extreme Rainfall and Drainage Infrastructure Performance: A Case Study in Wuhan City, China
The design of stormwater drainage infrastructure in urban areas in China is based on the statistical stationary assumption of probability distribution of extreme rainfall, which is being increasingly challenged by climate change. However, quantitative assessment of the performance of urban drainage...
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| Veröffentlicht in: | Irrigation and drainage 2019-04, Vol.68 (2), p.152-164 |
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| creator | Xiong, Lihua Yan, Lei Du, Tao Yan, Pengtao Li, Lingqi Xu, Wentao |
| description | The design of stormwater drainage infrastructure in urban areas in China is based on the statistical stationary assumption of probability distribution of extreme rainfall, which is being increasingly challenged by climate change. However, quantitative assessment of the performance of urban drainage systems in response to climate change with the latest emission scenarios of the Coupled Model Intercomparison Project Phase 5 in China is quite limited. This study aims to investigate potential changes of extreme rainfall and their influence on drainage infrastructure in a representative urban area in Wuhan city, China. The Storm Water Management Model is established to investigate the response of drainage infrastructure to future design rainfall. It is found that the probability distribution of extreme rainfall for two historical sub‐periods (1961–1985 and 1986–2005) has changed, especially in the head and tail of the frequency curves. Furthermore, the design rainfall with return periods of 2, 3, 4 and 5 years increases more significantly than those of 10 and 20 years. Consequently, the incapability of the current drainage infrastructure in the study area is aggravated. Moreover, the results of SWMM modelling provide detailed information about the performance of current drainage infrastructure, which can provide technical support for future modifications of the current drainage infrastructure of the study area. © 2018 John Wiley & Sons, Ltd.
Résumé
La conception de l'infrastructure de drainage des eaux pluviales en zone urbaine en Chine est basée sur l'hypothèse statistique stationnaire de la distribution de probabilités de précipitations extrêmes, ce qui est de plus en plus contestée par le changement climatique. Cependant, l'évaluation quantitative de la performance du système de drainage urbain en réponse au changement climatique avec les derniers scénarios d'émission de la phase 5 du projet d'intercomparaison de modèles couplés (CMIP5) en Chine est assez limitée. Cette étude vise à étudier les changements potentiels des précipitations extrêmes et leurs influences sur les infrastructures de drainage dans une zone urbaine représentative de la ville de Wuhan en Chine. Le modèle de gestion des eaux pluviales (SWMM) est établi pour étudier la réponse de l'infrastructure de drainage aux pluies de conception futures. On constate que la distribution de probabilité de précipitations extrêmes pour deux sous‐périodes historiques (1961–1985 et 1986–2005) a changé, en p |
| doi_str_mv | 10.1002/ird.2316 |
| format | Article |
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Résumé
La conception de l'infrastructure de drainage des eaux pluviales en zone urbaine en Chine est basée sur l'hypothèse statistique stationnaire de la distribution de probabilités de précipitations extrêmes, ce qui est de plus en plus contestée par le changement climatique. Cependant, l'évaluation quantitative de la performance du système de drainage urbain en réponse au changement climatique avec les derniers scénarios d'émission de la phase 5 du projet d'intercomparaison de modèles couplés (CMIP5) en Chine est assez limitée. Cette étude vise à étudier les changements potentiels des précipitations extrêmes et leurs influences sur les infrastructures de drainage dans une zone urbaine représentative de la ville de Wuhan en Chine. Le modèle de gestion des eaux pluviales (SWMM) est établi pour étudier la réponse de l'infrastructure de drainage aux pluies de conception futures. On constate que la distribution de probabilité de précipitations extrêmes pour deux sous‐périodes historiques (1961–1985 et 1986–2005) a changé, en particulier en tête et en queue des courbes de fréquence. En outre, les précipitations prévues avec des périodes de retour de 2, 3, 4 et 5 ans augmentent plus nettement que celles de 10 et 20 ans. En conséquence, l'incapacité des infrastructures de drainage actuelles dans la zone d'étude est aggravée. En outre, les résultats de la modélisation SWMM fournissent des informations détaillées sur la performance de l'infrastructure actuelle de drainage, qui peut fournir un soutien technique pour les modifications futures de l'infrastructure actuelle de drainage de la zone d'étude. © 2018 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1531-0353</identifier><identifier>EISSN: 1531-0361</identifier><identifier>DOI: 10.1002/ird.2316</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>Area ; Case studies ; changement climatique ; Climate change ; Climate models ; Design ; Distribution ; Drainage management ; Drainage systems ; Environmental impact ; extreme rainfall ; Extreme weather ; Infrastructure ; infrastructure de drainage urbain ; Intercomparison ; Modelling ; modèle de gestion des eaux pluviales (SWMM) ; Probability distribution ; Probability theory ; précipitations extrêmes ; Queues ; Rain ; Rainfall ; Statistical analysis ; Storm Water Management Model (SWMM) ; Storms ; Stormwater ; Stormwater management ; Technical services ; Urban areas ; Urban drainage ; urban drainage infrastructure ; Water management</subject><ispartof>Irrigation and drainage, 2019-04, Vol.68 (2), p.152-164</ispartof><rights>2018 John Wiley & Sons, Ltd.</rights><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2936-4495e4b883f0c54f6f5235fc9ded174146d8a97c43e11e9ea16f3e4a6fbc3d453</citedby><cites>FETCH-LOGICAL-c2936-4495e4b883f0c54f6f5235fc9ded174146d8a97c43e11e9ea16f3e4a6fbc3d453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fird.2316$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fird.2316$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Xiong, Lihua</creatorcontrib><creatorcontrib>Yan, Lei</creatorcontrib><creatorcontrib>Du, Tao</creatorcontrib><creatorcontrib>Yan, Pengtao</creatorcontrib><creatorcontrib>Li, Lingqi</creatorcontrib><creatorcontrib>Xu, Wentao</creatorcontrib><title>Impacts of Climate Change on Urban Extreme Rainfall and Drainage Infrastructure Performance: A Case Study in Wuhan City, China</title><title>Irrigation and drainage</title><description>The design of stormwater drainage infrastructure in urban areas in China is based on the statistical stationary assumption of probability distribution of extreme rainfall, which is being increasingly challenged by climate change. However, quantitative assessment of the performance of urban drainage systems in response to climate change with the latest emission scenarios of the Coupled Model Intercomparison Project Phase 5 in China is quite limited. This study aims to investigate potential changes of extreme rainfall and their influence on drainage infrastructure in a representative urban area in Wuhan city, China. The Storm Water Management Model is established to investigate the response of drainage infrastructure to future design rainfall. It is found that the probability distribution of extreme rainfall for two historical sub‐periods (1961–1985 and 1986–2005) has changed, especially in the head and tail of the frequency curves. Furthermore, the design rainfall with return periods of 2, 3, 4 and 5 years increases more significantly than those of 10 and 20 years. Consequently, the incapability of the current drainage infrastructure in the study area is aggravated. Moreover, the results of SWMM modelling provide detailed information about the performance of current drainage infrastructure, which can provide technical support for future modifications of the current drainage infrastructure of the study area. © 2018 John Wiley & Sons, Ltd.
Résumé
La conception de l'infrastructure de drainage des eaux pluviales en zone urbaine en Chine est basée sur l'hypothèse statistique stationnaire de la distribution de probabilités de précipitations extrêmes, ce qui est de plus en plus contestée par le changement climatique. Cependant, l'évaluation quantitative de la performance du système de drainage urbain en réponse au changement climatique avec les derniers scénarios d'émission de la phase 5 du projet d'intercomparaison de modèles couplés (CMIP5) en Chine est assez limitée. Cette étude vise à étudier les changements potentiels des précipitations extrêmes et leurs influences sur les infrastructures de drainage dans une zone urbaine représentative de la ville de Wuhan en Chine. Le modèle de gestion des eaux pluviales (SWMM) est établi pour étudier la réponse de l'infrastructure de drainage aux pluies de conception futures. On constate que la distribution de probabilité de précipitations extrêmes pour deux sous‐périodes historiques (1961–1985 et 1986–2005) a changé, en particulier en tête et en queue des courbes de fréquence. En outre, les précipitations prévues avec des périodes de retour de 2, 3, 4 et 5 ans augmentent plus nettement que celles de 10 et 20 ans. En conséquence, l'incapacité des infrastructures de drainage actuelles dans la zone d'étude est aggravée. En outre, les résultats de la modélisation SWMM fournissent des informations détaillées sur la performance de l'infrastructure actuelle de drainage, qui peut fournir un soutien technique pour les modifications futures de l'infrastructure actuelle de drainage de la zone d'étude. © 2018 John Wiley & Sons, Ltd.</description><subject>Area</subject><subject>Case studies</subject><subject>changement climatique</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Design</subject><subject>Distribution</subject><subject>Drainage management</subject><subject>Drainage systems</subject><subject>Environmental impact</subject><subject>extreme rainfall</subject><subject>Extreme weather</subject><subject>Infrastructure</subject><subject>infrastructure de drainage urbain</subject><subject>Intercomparison</subject><subject>Modelling</subject><subject>modèle de gestion des eaux pluviales (SWMM)</subject><subject>Probability distribution</subject><subject>Probability theory</subject><subject>précipitations extrêmes</subject><subject>Queues</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Statistical analysis</subject><subject>Storm Water Management Model (SWMM)</subject><subject>Storms</subject><subject>Stormwater</subject><subject>Stormwater management</subject><subject>Technical services</subject><subject>Urban areas</subject><subject>Urban drainage</subject><subject>urban drainage infrastructure</subject><subject>Water management</subject><issn>1531-0353</issn><issn>1531-0361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kF1LwzAUhoMoOKfgTwh444WdSZN-eTe6qYWBMh1eliw90Y42nUmK9sbfbubEO6_OOfCc94UHoXNKJpSQ8Lo21SRkND5AIxoxGhAW08O_PWLH6MTaDSEky8JkhL6Kdiuks7hTOG_qVjjA-ZvQr4A7jVdmLTSefzoDLeClqLUSTYOFrvDM-Et4rNDKCOtML11vAD-CUZ1phZZwg6c4Fxbwk-urAdcav_Q-Gue1G658i_8_RUc-0cLZ7xyj1e38Ob8PFg93RT5dBDLMWBxwnkXA12nKFJERV7GKQhYpmVVQ0YRTHlepyBLJGVAKGQgaKwZcxGotWcUjNkYX-9yt6d57sK7cdL3RvrIMQ8oIT3nCPXW5p6TprDWgyq3xSsxQUlLu7Jbebrmz69Fgj37UDQz_cmWxnP3w3wABesk</recordid><startdate>201904</startdate><enddate>201904</enddate><creator>Xiong, Lihua</creator><creator>Yan, Lei</creator><creator>Du, Tao</creator><creator>Yan, Pengtao</creator><creator>Li, Lingqi</creator><creator>Xu, Wentao</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>201904</creationdate><title>Impacts of Climate Change on Urban Extreme Rainfall and Drainage Infrastructure Performance: A Case Study in Wuhan City, China</title><author>Xiong, Lihua ; 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However, quantitative assessment of the performance of urban drainage systems in response to climate change with the latest emission scenarios of the Coupled Model Intercomparison Project Phase 5 in China is quite limited. This study aims to investigate potential changes of extreme rainfall and their influence on drainage infrastructure in a representative urban area in Wuhan city, China. The Storm Water Management Model is established to investigate the response of drainage infrastructure to future design rainfall. It is found that the probability distribution of extreme rainfall for two historical sub‐periods (1961–1985 and 1986–2005) has changed, especially in the head and tail of the frequency curves. Furthermore, the design rainfall with return periods of 2, 3, 4 and 5 years increases more significantly than those of 10 and 20 years. Consequently, the incapability of the current drainage infrastructure in the study area is aggravated. Moreover, the results of SWMM modelling provide detailed information about the performance of current drainage infrastructure, which can provide technical support for future modifications of the current drainage infrastructure of the study area. © 2018 John Wiley & Sons, Ltd.
Résumé
La conception de l'infrastructure de drainage des eaux pluviales en zone urbaine en Chine est basée sur l'hypothèse statistique stationnaire de la distribution de probabilités de précipitations extrêmes, ce qui est de plus en plus contestée par le changement climatique. Cependant, l'évaluation quantitative de la performance du système de drainage urbain en réponse au changement climatique avec les derniers scénarios d'émission de la phase 5 du projet d'intercomparaison de modèles couplés (CMIP5) en Chine est assez limitée. Cette étude vise à étudier les changements potentiels des précipitations extrêmes et leurs influences sur les infrastructures de drainage dans une zone urbaine représentative de la ville de Wuhan en Chine. Le modèle de gestion des eaux pluviales (SWMM) est établi pour étudier la réponse de l'infrastructure de drainage aux pluies de conception futures. On constate que la distribution de probabilité de précipitations extrêmes pour deux sous‐périodes historiques (1961–1985 et 1986–2005) a changé, en particulier en tête et en queue des courbes de fréquence. En outre, les précipitations prévues avec des périodes de retour de 2, 3, 4 et 5 ans augmentent plus nettement que celles de 10 et 20 ans. En conséquence, l'incapacité des infrastructures de drainage actuelles dans la zone d'étude est aggravée. En outre, les résultats de la modélisation SWMM fournissent des informations détaillées sur la performance de l'infrastructure actuelle de drainage, qui peut fournir un soutien technique pour les modifications futures de l'infrastructure actuelle de drainage de la zone d'étude. © 2018 John Wiley & Sons, Ltd.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ird.2316</doi><tpages>13</tpages></addata></record> |
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| subjects | Area Case studies changement climatique Climate change Climate models Design Distribution Drainage management Drainage systems Environmental impact extreme rainfall Extreme weather Infrastructure infrastructure de drainage urbain Intercomparison Modelling modèle de gestion des eaux pluviales (SWMM) Probability distribution Probability theory précipitations extrêmes Queues Rain Rainfall Statistical analysis Storm Water Management Model (SWMM) Storms Stormwater Stormwater management Technical services Urban areas Urban drainage urban drainage infrastructure Water management |
| title | Impacts of Climate Change on Urban Extreme Rainfall and Drainage Infrastructure Performance: A Case Study in Wuhan City, China |
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