The changing pattern of urban flooding in Guangzhou, China

Science of the Total Environment

Volumn 622-623, Issue , 2018, Pages 394-401

  Huang, Huabing ^a   Chen, Xi ^b   Zhu, Zhanqiang ^a   Xie, Yuhuan ^a   Liu, Lin ^b,c   Wang, Xianwei ^a   Wang, Xina ^a   Liu, Kai ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b GUANGZHOU UNIVERSITY   (China)

^c UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Drainage improvement; Guangzhou; Mitigation effect; Pressure State Response; Urban flooding

Indexed keywords

CATCHMENTS; RISK ASSESSMENT;

GUANGZHOU; INFLUENTIAL FACTORS; MITIGATION EFFECTS; MODELLING AND ANALYSIS; POLICIES AND MEASURES; PRECIPITATION VARIATION; PRESSURE STATE RESPONSE (PSR); URBAN FLOODING;

FLOODS;

DRAINAGE NETWORK; FLOOD FREQUENCY; FLOOD ROUTING; FLOODING; METROPOLITAN AREA; MITIGATION; POLICY APPROACH; PRECIPITATION INTENSITY; RISK ASSESSMENT;

ARTICLE; CHINA; CONCEPTUAL FRAMEWORK; ENVIRONMENTAL CHANGE; FLOODING; LAND DRAINAGE; PRECIPITATION; PRESSURE; PRIORITY JOURNAL; SEASONAL RAIN FOREST; SURFACE AREA; URBAN AREA; CITY;

CHINA; GUANGDONG; GUANGZHOU;

EID: 85036632641     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2017.11.358     Document Type: Article

References (45)

1. Arrighi, C.A., Brugioni, M.B., Castelli, F.A., Franceschini, S.B., Mazzanti, B.B., Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data. Nat. Hazards Earth Syst. Sci. 13 (2015), 1375–1391.
2. Bernardini, G., Postacchini, M., Quagliarini, E., Brocchini, M., Cianca, C., D'Orazio, M., A preliminary combined simulation tool for the risk assessment of pedestrians' flood-induced evacuation. Environ. Model. Softw. 96 (2017), 14–29.
3. Bruni, G., Reinoso, R., van de Giesen, N.C., Clemens, F.H.L.R., ten Veldhuis, J.A.E., On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution. Hydrol. Earth Syst. Sci. 19:2 (2015), 691–709.
4. Chaves, H.M.L., Alipaz, S., An integrated indicator based on basin hydrology, environment, life, and policy: the watershed sustainability index. Water Resour. Manag. 21:5 (2007), 883–895.
5. Chen, Y., Qin, J., Dong, L., Zhang, T., The formation regularity and control measures of urban pluvial floods in Guangzhou City. China Flood & Drought Management 5 (2017), 72–76 (In Chinese).
6. Cherqui, F., Belmeziti, A., Granger, D., Sourdril, A., Le Gauffre, P., Assessing urban potential flooding risk and identifying effective risk-reduction measures. Sci. Total Environ. 514 (2015), 418–425.
7. China Meteorological Administration (CMA), Regulation on publication and dissemination of meteorological disaster warning signals. http://www.cma.gov.cn/2011zwxx/2011zflfg/2011zgfxwj/201208/t20120803_180761.html, 2007. (Accessed 3 August 2012)
8. Chung, E.S., Lee, K.S., Identification of spatial ranking of hydrological vulnerability using multi-criteria decision making techniques: case study of Korea. Water Resour. Manag. 23:12 (2009), 2395–2416.
9. Du, S., Shi, P., van Rompaey, A., Wen, J., Quantifying the impact of impervious surface location on flood peak discharge in urban areas. Nat. Hazards 76:3 (2015), 1457–1471.
10. Du, S., van Rompaey, A., Shi, P., Wang, J., A dual effect of urban expansion on flood risk in the Pearl River Delta (China) revealed by land-use scenarios and direct runoff simulation. Nat. Hazards 77:1 (2015), 111–128.
11. Duan, H.F., Li, F., Yan, H., Multi-objective optimal design of detention tanks in the urban stormwater drainage system: LID implementation and analysis. Water Resour. Manag. 30 (2016), 4635–4648.
12. Egger, C.A.B., Maurer, M.A.B., Importance of anthropogenic climate impact, sampling error and urban development in sewer system design. Water Res. 73 (2015), 78–97.
13. Gaitan, S., van de Giesen, N.C., ten Veldhuis, J.A.E., Can urban pluvial flooding be predicted by open spatial data and weather data?. Environ. Model. Softw. 85 (2016), 156–171.
14. Guo, C., Deng, L., Analysis and countermeasure of waterlogging in central urban area of Guangzhou. China Aater & Wastewater 27:10 (2011), 25–28 (In Chinese).
15. Ho Tong Minh, D., Van Trung, L., Le Toan, T., Mapping ground subsidence phenomena in Ho Chi Minh City through the radar interferometry technique using ALOS PALSAR data. Remote Sens. 7:7 (2015), 8543–8562.
16. Hooshyaripor, F., Yazdi, J., A new methodology for surcharge risk management in urban areas (case study: Gonbad-e-Kavus city). Water Sci. Technol. 75 (2017), 823–832.
17. Intergovernmental Panel on Climate Change (IPCC), Climate change 2014: impacts, adaptation, and vulnerability. http://www.ipcc.ch/report/ar5/wg2/, 2014.
18. Ishimatsu, K., Ito, K., Mitani, Y., Tanaka, Y., Sugahara, T., Naka, Y., Use of rain gardens for stormwater management in urban design and planning. Landsc. Ecol. Eng. 13 (2017), 205–212.
19. Jenkins, K., Surminski, S., Hall, J., Crick, F., Assessing surface water flood risk and management strategies under future climate change: insights from an agent-based model. Sci. Total Environ. 595 (2017), 159–168.
20. Kang, N., Kim, S., Kim, Y., Noh, H., Hong, S.J., Kim, H.S., Urban drainage system improvement for climate change adaptation. Water, 8(7), 2016, 268.
21. Li, Y., Sun, X., Zhu, X., Cao, H., An early warning method of landscape ecological security in rapid urbanizing coastal areas and its application in Xiamen, China. Ecol. Model. 221:19 (2010), 2251–2260.
22. Li, B., Zhao, Y., Fu, Y., Spatio-temporal characteristics of urban storm waterlogging in Guangzhou and the impact of urban growth. Journal of Geo-information Science 17:4 (2015), 445–450 (In Chinese).
23. Meesuk, V., Vojinovic, Z., Mynett, A.E., Abdullah, A.F., Urban flood modelling combining top-view LiDAR data with ground-view SfM observations. Adv. Water Resour. 75 (2015), 105–117.
24. Notaro, V., Fontanazza, C.M., Freni, G., Puleo, V., Impact of rainfall data resolution in time and space on the urban flooding evaluation. Water Sci. Technol. 68 (2013), 1984–1993.
25. OECD, OECD Core Set of Indicators for Environmental Performance Reviews: A Synthesis Report by the Group on the State of the Environment. 1993, OECD, Paris.
26. Oliver, J.E., Monthly precipitation distribution: a comparative index. Prof. Geogr. 32 (1980), 300–309.
27. Pappalardo, V., La Rosa, D., Campisano, A., La Greca, P., The potential of green infrastructure application in urban runoff control for land use planning: a preliminary evaluation from a southern Italy case study. Ecosyst. Serv. 26 (2017), 345–354.
28. Parzen, E., On estimation of a probability density function and mode. The Annals of Mathematical Statistics 33:3 (1962), 1065–1076.
29. Rapport, D., Friend, A., Towards a Comprehensive Framework for Environmental Statistics: A Stress-Response Approach. 1979, Minister of Supply and Services Canada, Ottawa.
30. Rosenblatt, M., Remarks on some nonparametric estimates of a density function. The Annals of Mathematical Statistics 27:3 (1956), 832–837.
31. Rözer, V., Müller, M., Bubeck, P., Kienzler, S., Thieken, A., Pech, I., Schröter, L., Buchholz, O., Kreibich, H., Coping with pluvial floods by private households. Water, 8(7), 2016, 304.
32. Senent-Aparicio, J., Pérez-Sánchez, J., García-Aróstegui, J.L., Bielsa-Artero, A., Domingo-Pinillos, J.C., Evaluating groundwater management sustainability under limited data availability in semiarid zones. Water 7 (2015), 4305–4322.
33. Seo, J.P., Cho, W., Cheong, T.S., Development of priority setting process for the small stream restoration projects using multi criteria decision analysis. J. Hydroinf. 17:2 (2015), 211–225.
34. Smith, L.S., Liang, Q., Quinn, P.F., Towards a hydrodynamic modelling framework appropriate for applications in urban flood assessment and mitigation using heterogeneous computing. Urban Water J. 12 (2015), 67–78.
35. Wang, D., Wang, X., Liu, L., Wang, D., Huang, H., Pan, C., Evaluation of CMPA precipitation estimate in the evolution of typhoon-related storm rainfall in Guangdong, China. J. Hydroinf. 18 (2016), 1055–1068.
36. Wang, R., Chen, J., Wang, X., Comparison of IMERG Level-3 and TMPA 3B42V7 in estimating typhoon-related heavy rain. Water, 9(4), 2017, 276.
37. Wu, H., Huang, G., Meng, Q., Zhang, M., Li, L., Deep tunnel for regulating combined sewer overflow pollution and flood disaster: a case study in Guangzhou City, China. Water, 8(8), 2016, 329.
38. Yang, L., Scheffran, J., Qin, H., You, Q., Climate-related flood risks and urban responses in the Pearl River Delta, China. Reg. Environ. Chang. 15 (2014), 379–391.
39. Yao, L., Wei, W., Chen, L., How does imperviousness impact the urban rainfall-runoff process under various storm cases?. Ecol. Indic. 60 (2016), 893–905.
40. Yin, J., Ye, M., Yin, Z., Xu, S., A review of advances in urban flood risk analysis over China. Stoch. Env. Res. Risk A. 29 (2014), 1063–1070.
41. Yin, J., Yu, D., Wilby, R., Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China. Sci. Total Environ. 544 (2016), 744–753.
42. Yu, D., Coulthard, T.J., Evaluating the importance of catchment hydrological parameters for urban surface water flood modelling using a simple hydro-inundation model. J. Hydrol. 524 (2015), 385–400.
43. Yu, D., Yin, J., Liu, M., Validating city-scale surface water flood modelling using crowd-sourced data. Environ. Res. Lett., 2016, 10.1088/1748-9326/11/12/124011.
44. Zhu, Z., Chen, X., Evaluating the effects of low impact development practices on urban flooding under different rainfall intensities. Water, 9(7), 2017, 548.
45. Zhu, Z., Chen, Z., Chen, X., He, P., Approach for evaluating inundation risks in urban drainage systems. Sci. Total Environ. 553 (2016), 1–12.