Assessing the rainwater runoff reduction effects of typical green roofs in a humid subtropical city
Roof greening provides a promising solution to urban flooding because of the commonly assumed effect on rainwater runoff reduction; however, few studies have investigated this effect in humid subtropical areas using long-term monitoring data. In this study, we evaluated two typical types of green ro...
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Veröffentlicht in: | Sheng tai xue bao 2019, Vol.39 (20), p.7557 |
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description | Roof greening provides a promising solution to urban flooding because of the commonly assumed effect on rainwater runoff reduction; however, few studies have investigated this effect in humid subtropical areas using long-term monitoring data. In this study, we evaluated two typical types of green roofs, extensive and intensive, in Nanjing City for their capacity to reduce runoff based on empirical hydrological equations calibrated with field measurement data collected over a whole year circle. We analyzed the variations in rainwater retention, evaporation, and runoff with respect to season and rainfall types. Based on paired rainfall-runoff data of 77 events over the year, the curve numbers(CN) of the two green roofs were calculated, and the annual runoff reduction of the city-scale roof greening was assessed. The results showed that annual runoff reduction rates of the extensive and intensive green roofs were 42% and 60.7%, respectively. The runoff reduction magnitude was highest in spring, followed by winter, autumn, and summer, with respective average reduction rates of 78.6%, 47.5%, 33.2%, and 32.9% for the extensive green roof and 98%, 84.3%, 49.5%, and 48.1% for the intensive roof. Soil played a dominant role in rainwater retention, accounting for 52% and 62% of the total runoff reduction for the extensive and intensive green roofs, respectively. Precipitation and rainfall intensity were key factors affecting runoff effects, both being negatively correlated with the runoff reduction rate(P < 0.01). Antecedent soil moisture was negatively correlated with the runoff reduction rate for the extensive green roof(0.01 |
doi_str_mv | 10.5846/stxb201808281837 |
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In this study, we evaluated two typical types of green roofs, extensive and intensive, in Nanjing City for their capacity to reduce runoff based on empirical hydrological equations calibrated with field measurement data collected over a whole year circle. We analyzed the variations in rainwater retention, evaporation, and runoff with respect to season and rainfall types. Based on paired rainfall-runoff data of 77 events over the year, the curve numbers(CN) of the two green roofs were calculated, and the annual runoff reduction of the city-scale roof greening was assessed. The results showed that annual runoff reduction rates of the extensive and intensive green roofs were 42% and 60.7%, respectively. The runoff reduction magnitude was highest in spring, followed by winter, autumn, and summer, with respective average reduction rates of 78.6%, 47.5%, 33.2%, and 32.9% for the extensive green roof and 98%, 84.3%, 49.5%, and 48.1% for the intensive roof. Soil played a dominant role in rainwater retention, accounting for 52% and 62% of the total runoff reduction for the extensive and intensive green roofs, respectively. Precipitation and rainfall intensity were key factors affecting runoff effects, both being negatively correlated with the runoff reduction rate(P < 0.01). Antecedent soil moisture was negatively correlated with the runoff reduction rate for the extensive green roof(0.01<P < 0.05) but showed no significant correlation for the intensive green roof. The CNs of the extensive and intensive green roofs were assessed to be 92 and 88, respectively, compared with the value of 98 for conventional impervious roofs. A hypothetical 60% coverage of extensive and intensive greening on all building roofs in the main city of Nanjing might lead to an annual runoff reduction of 2.8 × 10~7 m~3 and 4.2 × 10~7 m~3, respectively. These results can provide a scientific basis for urban stormwater management and sponge city construction.</description><identifier>ISSN: 1000-0933</identifier><identifier>DOI: 10.5846/stxb201808281837</identifier><language>chi ; eng</language><publisher>Beijing: Science Press</publisher><subject>Annual runoff ; Construction ; Correlation ; Empirical equations ; Evaporation ; Flooding ; Green buildings ; Green roofs ; Greening ; Humid areas ; Hydrologic data ; Hydrology ; Mathematical analysis ; Rain ; Rain water ; Rainfall ; Rainfall intensity ; Rainfall-runoff relationships ; Reduction ; Retention ; Roofing ; Roofs ; Runoff ; Soil moisture ; Soils ; Storm runoff ; Stormwater ; Stormwater management ; Sustainable design ; Urban runoff</subject><ispartof>Sheng tai xue bao, 2019, Vol.39 (20), p.7557</ispartof><rights>Copyright Science Press 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Xu, Tianjing</creatorcontrib><creatorcontrib>Peng, Lihua</creatorcontrib><creatorcontrib>Yang, Xiaoshan</creatorcontrib><creatorcontrib>He, Yunfei</creatorcontrib><creatorcontrib>Jiang, Zhidian</creatorcontrib><title>Assessing the rainwater runoff reduction effects of typical green roofs in a humid subtropical city</title><title>Sheng tai xue bao</title><description>Roof greening provides a promising solution to urban flooding because of the commonly assumed effect on rainwater runoff reduction; however, few studies have investigated this effect in humid subtropical areas using long-term monitoring data. In this study, we evaluated two typical types of green roofs, extensive and intensive, in Nanjing City for their capacity to reduce runoff based on empirical hydrological equations calibrated with field measurement data collected over a whole year circle. We analyzed the variations in rainwater retention, evaporation, and runoff with respect to season and rainfall types. Based on paired rainfall-runoff data of 77 events over the year, the curve numbers(CN) of the two green roofs were calculated, and the annual runoff reduction of the city-scale roof greening was assessed. The results showed that annual runoff reduction rates of the extensive and intensive green roofs were 42% and 60.7%, respectively. The runoff reduction magnitude was highest in spring, followed by winter, autumn, and summer, with respective average reduction rates of 78.6%, 47.5%, 33.2%, and 32.9% for the extensive green roof and 98%, 84.3%, 49.5%, and 48.1% for the intensive roof. Soil played a dominant role in rainwater retention, accounting for 52% and 62% of the total runoff reduction for the extensive and intensive green roofs, respectively. Precipitation and rainfall intensity were key factors affecting runoff effects, both being negatively correlated with the runoff reduction rate(P < 0.01). Antecedent soil moisture was negatively correlated with the runoff reduction rate for the extensive green roof(0.01<P < 0.05) but showed no significant correlation for the intensive green roof. The CNs of the extensive and intensive green roofs were assessed to be 92 and 88, respectively, compared with the value of 98 for conventional impervious roofs. A hypothetical 60% coverage of extensive and intensive greening on all building roofs in the main city of Nanjing might lead to an annual runoff reduction of 2.8 × 10~7 m~3 and 4.2 × 10~7 m~3, respectively. These results can provide a scientific basis for urban stormwater management and sponge city construction.</description><subject>Annual runoff</subject><subject>Construction</subject><subject>Correlation</subject><subject>Empirical equations</subject><subject>Evaporation</subject><subject>Flooding</subject><subject>Green buildings</subject><subject>Green roofs</subject><subject>Greening</subject><subject>Humid areas</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Mathematical analysis</subject><subject>Rain</subject><subject>Rain water</subject><subject>Rainfall</subject><subject>Rainfall intensity</subject><subject>Rainfall-runoff relationships</subject><subject>Reduction</subject><subject>Retention</subject><subject>Roofing</subject><subject>Roofs</subject><subject>Runoff</subject><subject>Soil moisture</subject><subject>Soils</subject><subject>Storm runoff</subject><subject>Stormwater</subject><subject>Stormwater management</subject><subject>Sustainable design</subject><subject>Urban runoff</subject><issn>1000-0933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpdkDtPwzAUhT2ARHnsjJaYA9dx7DpjVfGSKrHAHDmOb-uqtYuvI-i_J6hMTGf5dM7Rx9itgHtlGv1A5buvQRgwtRFGzs_YTABABa2UF-ySaAsgQch2xtyCyBOFuOZl43m2IX7Z4jPPY0yIPPthdCWkyD2id4V4Ql6Oh-Dsjq-z95HnlJB4iNzyzbgPA6exLzmdEBfK8Zqdo92Rv_nLK_bx9Pi-fKlWb8-vy8WqctOVUulhAKW0UFMgtsphI5vee4RWCGxa36haw4C91M64Xhq0IKyaz6UTukeUV-zu1HvI6XP0VLptGnOcJrtaSmi1UY2eKDhRLiei7LE75LC3-dgJ6H71df_1yR9ZcGdl</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Xu, Tianjing</creator><creator>Peng, Lihua</creator><creator>Yang, Xiaoshan</creator><creator>He, Yunfei</creator><creator>Jiang, Zhidian</creator><general>Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>2019</creationdate><title>Assessing the rainwater runoff reduction effects of typical green roofs in a humid subtropical city</title><author>Xu, Tianjing ; Peng, Lihua ; Yang, Xiaoshan ; He, Yunfei ; Jiang, Zhidian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c139t-6dd055615d05ff95cf434beef0911f49e45260dfb36c8cb38fa01a5773c16bff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>Annual runoff</topic><topic>Construction</topic><topic>Correlation</topic><topic>Empirical equations</topic><topic>Evaporation</topic><topic>Flooding</topic><topic>Green buildings</topic><topic>Green roofs</topic><topic>Greening</topic><topic>Humid areas</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Mathematical analysis</topic><topic>Rain</topic><topic>Rain water</topic><topic>Rainfall</topic><topic>Rainfall intensity</topic><topic>Rainfall-runoff relationships</topic><topic>Reduction</topic><topic>Retention</topic><topic>Roofing</topic><topic>Roofs</topic><topic>Runoff</topic><topic>Soil moisture</topic><topic>Soils</topic><topic>Storm runoff</topic><topic>Stormwater</topic><topic>Stormwater management</topic><topic>Sustainable design</topic><topic>Urban runoff</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Tianjing</creatorcontrib><creatorcontrib>Peng, Lihua</creatorcontrib><creatorcontrib>Yang, Xiaoshan</creatorcontrib><creatorcontrib>He, Yunfei</creatorcontrib><creatorcontrib>Jiang, Zhidian</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Sheng tai xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Tianjing</au><au>Peng, Lihua</au><au>Yang, Xiaoshan</au><au>He, Yunfei</au><au>Jiang, Zhidian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the rainwater runoff reduction effects of typical green roofs in a humid subtropical city</atitle><jtitle>Sheng tai xue bao</jtitle><date>2019</date><risdate>2019</risdate><volume>39</volume><issue>20</issue><spage>7557</spage><pages>7557-</pages><issn>1000-0933</issn><abstract>Roof greening provides a promising solution to urban flooding because of the commonly assumed effect on rainwater runoff reduction; however, few studies have investigated this effect in humid subtropical areas using long-term monitoring data. In this study, we evaluated two typical types of green roofs, extensive and intensive, in Nanjing City for their capacity to reduce runoff based on empirical hydrological equations calibrated with field measurement data collected over a whole year circle. We analyzed the variations in rainwater retention, evaporation, and runoff with respect to season and rainfall types. Based on paired rainfall-runoff data of 77 events over the year, the curve numbers(CN) of the two green roofs were calculated, and the annual runoff reduction of the city-scale roof greening was assessed. The results showed that annual runoff reduction rates of the extensive and intensive green roofs were 42% and 60.7%, respectively. The runoff reduction magnitude was highest in spring, followed by winter, autumn, and summer, with respective average reduction rates of 78.6%, 47.5%, 33.2%, and 32.9% for the extensive green roof and 98%, 84.3%, 49.5%, and 48.1% for the intensive roof. Soil played a dominant role in rainwater retention, accounting for 52% and 62% of the total runoff reduction for the extensive and intensive green roofs, respectively. Precipitation and rainfall intensity were key factors affecting runoff effects, both being negatively correlated with the runoff reduction rate(P < 0.01). Antecedent soil moisture was negatively correlated with the runoff reduction rate for the extensive green roof(0.01<P < 0.05) but showed no significant correlation for the intensive green roof. The CNs of the extensive and intensive green roofs were assessed to be 92 and 88, respectively, compared with the value of 98 for conventional impervious roofs. A hypothetical 60% coverage of extensive and intensive greening on all building roofs in the main city of Nanjing might lead to an annual runoff reduction of 2.8 × 10~7 m~3 and 4.2 × 10~7 m~3, respectively. These results can provide a scientific basis for urban stormwater management and sponge city construction.</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.5846/stxb201808281837</doi></addata></record> |
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subjects | Annual runoff Construction Correlation Empirical equations Evaporation Flooding Green buildings Green roofs Greening Humid areas Hydrologic data Hydrology Mathematical analysis Rain Rain water Rainfall Rainfall intensity Rainfall-runoff relationships Reduction Retention Roofing Roofs Runoff Soil moisture Soils Storm runoff Stormwater Stormwater management Sustainable design Urban runoff |
title | Assessing the rainwater runoff reduction effects of typical green roofs in a humid subtropical city |
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