{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T16:21:02Z","timestamp":1768926062733,"version":"3.49.0"},"reference-count":71,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T00:00:00Z","timestamp":1623715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003500","name":"Universit\u00e0 degli Studi di Padova","doi-asserted-by":"publisher","award":["DOR1948955\/19"],"award-info":[{"award-number":["DOR1948955\/19"]}],"id":[{"id":"10.13039\/501100003500","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R &amp; D Program of China","award":["2018YFB2100702"],"award-info":[{"award-number":["2018YFB2100702"]}]},{"name":"NSFC-Guangdong Joint Foundation Key Project","award":["U1901219"],"award-info":[{"award-number":["U1901219"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Urban green infrastructures (UGI) can effectively reduce surface runoff, thereby alleviating the pressure of urban waterlogging. Due to the shortage of land resources in metropolitan areas, it is necessary to understand how to utilize the limited UGI area to maximize the waterlogging mitigation function. Less attention, however, has been paid to investigating the threshold level of waterlogging mitigation capacity. Additionally, various studies mainly focused on the individual effects of UGI factors on waterlogging but neglected the interactive effects between these factors. To overcome this limitation, two waterlogging high-risk coastal cities\u2014Guangzhou and Shenzhen, are selected to examine the effectiveness and stability of UGI in alleviating urban waterlogging. The results indicate that the impact of green infrastructure on urban waterlogging largely depends on its area and biophysical parameter. Healthier or denser vegetation (superior ecological environment) can more effectively intercept and store rainwater runoff. This suggests that while increasing the area of UGI, more attention should be paid to the biophysical parameter of vegetation. Hence, the mitigation effect of green infrastructure would be improved from the \u201csize\u201d and \u201chealth\u201d. The interaction of composition and spatial configuration greatly enhances their individual effects on waterlogging. This result underscores the importance of the interactive enhancement effect between UGI composition and spatial configuration. Therefore, it is particularly important to optimize the UGI composition and spatial pattern under limited land resource conditions. Lastly, the effect of green infrastructure on waterlogging presents a threshold phenomenon. The excessive area proportions of UGI within the watershed unit or an oversized UGI patch may lead to a waste of its mitigation effect. Therefore, the area proportion of UGI and its mitigation effect should be considered comprehensively when planning UGI. It is recommended to control the proportion of green infrastructure at the watershed scale (24.4% and 72.1% for Guangzhou and Shenzhen) as well as the area of green infrastructure patches (1.9 ha and 2.8 ha for Guangzhou and Shenzhen) within the threshold level to maximize its mitigation effect. Given the growing concerns of global warming and continued rapid urbanization, these findings provide practical urban waterlogging prevention strategies toward practical implementations.<\/jats:p>","DOI":"10.3390\/rs13122341","type":"journal-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T21:24:29Z","timestamp":1623792269000},"page":"2341","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Investigating the Role of Green Infrastructure on Urban WaterLogging: Evidence from Metropolitan Coastal Cities"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2948-3451","authenticated-orcid":false,"given":"Qifei","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, 35020 Legnaro, Italy"},{"name":"School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China"}]},{"given":"Zhifeng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China"},{"name":"MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen 518000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0043-5226","authenticated-orcid":false,"given":"Paolo","family":"Tarolli","sequence":"additional","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, 35020 Legnaro, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"110438","DOI":"10.1016\/j.envres.2020.110438","article-title":"Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm","volume":"196","author":"Lin","year":"2020","journal-title":"Environ. 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