Urban waterlogging risk assessment in well-developed region of Eastern China
Tóm tắt
Từ khóa
Tài liệu tham khảo
Ahiablame, 2013, Effectiveness of low impact development practices in two urbanized watersheds: retrofitting with rain barrel/cistern and porous pavement, J. Environ. Manag., 119, 151, 10.1016/j.jenvman.2013.01.019
Alfieri, 2017, Global projections of river flood risk in a warmer world, Earth's Future, 5, 171, 10.1002/2016EF000485
Du, 2015, Quantifying the impact of impervious surface location on flood peak discharge in urban areas[J], Nat. Hazards, 76, 1457, 10.1007/s11069-014-1463-2
Du, 2019, Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries[J], Sustainable Cities and Society, 44, 774, 10.1016/j.scs.2018.11.003
Fang, 2019, Coastal flood risks in China through the 21st century – an application of DIVA, Sci. Total Environ.
Gong, 2019, Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017, Sci. Bull., 64, 370, 10.1016/j.scib.2019.03.002
Hu, 2018, Flood-induced mortality across the globe: spatiotemporal pattern and influencing factors, Sci. Total Environ., 643, 171, 10.1016/j.scitotenv.2018.06.197
Jiang, 2017, Understanding the challenges for the governance of China's “sponge cities” initiative to sustainably manage urban stormwater and flooding, Nat. Hazards, 89, 521, 10.1007/s11069-017-2977-1
Jiang, 2018, Urban pluvial flooding and stormwater management: a contemporary review of China's challenges and “sponge cities” strategy, Environ. Sci. Policy, 80, 132, 10.1016/j.envsci.2017.11.016
Kharin, 2013, Changes in temperature and precipitation extremes in the CMIP5 ensemble, Clim. Change, 119, 345, 10.1007/s10584-013-0705-8
Lai, 2017, Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing, J. Mt. Sci., 14, 898, 10.1007/s11629-016-4035-y
Liang, 2018, Integrated economic and financial analysis of China's Sponge city program for water-resilient urban development, Sustainability, 10, 669, 10.3390/su10030669
Sang, 2017, Urban waterlogs control in China: more effective strategies and actions are needed, Nat. Hazards, 85, 1291, 10.1007/s11069-016-2614-4
Sillmann, 2013, Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. Model evaluation in the present climate, J. Geophys. Res.: Atmosphere, 118, 1716, 10.1002/jgrd.50203
Su, 2015, Categorizing social vulnerability patterns in Chinese coastal cities, Ocean Coast Manag., 116, 1, 10.1016/j.ocecoaman.2015.06.026
Wang, 2017, Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression[J], Stoch. Environ. Res. Risk Assess., 31, 1777, 10.1007/s00477-016-1242-6
Wu, 2018, Effectiveness of low-impact development for urban inundation risk mitigation under different scenarios: a case study in Shenzhen, China, Nat. Hazards Earth Syst. Sci., 18, 2525, 10.5194/nhess-18-2525-2018
Yin, 2015, A review of advances in urban flood risk analysis over China, Stoch. Environ. Res. Risk Assess., 29, 1063, 10.1007/s00477-014-0939-7