Flooding Hazards across Southern China and Prospective Sustainability Measures
Abstract
:1. Introduction
2. Investigations
2.1. Rainfall Formation
2.2. Rainy Season
2.3. Extreme Natural Hazards
3. Comparison of the 1998 and 2016 Floods
3.1. Flooding Disaster in 1998
3.2. Flooding Disaster in 2016
3.3. Comparison between the 1998 and 2016 Floods
4. Analysis and Discussion
4.1. Relationship between Floods and Extreme Weather
4.2. Role of the Three Gorges Dam in the 2016 Flood
4.3. Degradation of Rivers and Lakes
4.4. Advances in Urban Flooding Precautions
5. Prospective Measures
5.1. Traditional Evaluation Approaches on Flood Risk
5.2. Sponge City Strategy
5.3. Sponge City in China
5.4. Problems Related to SPC Construction
6. Concluding Remarks
- (1)
- The flood in 1998 in the Yangtze River Basin lasted longer than the one in 2016. Despite the shorter rainfall duration, it was more intense in 2016, resulting in a larger affected area than in 1998. The scale of the flooding in 1998, measured by people affected, death toll, collapsed houses, and damaged crops, was much larger than in 2016. However, the total economic losses in 2016 were much larger than that in 1998. This is due to the rapid economic development in China during this 18-year period.
- (2)
- The reasons for these severe flooding hazards were hazardous weather conditions and degradation of the ecological environment. The hazardous weather conditions both in 1998 and 2016 were linked to the El Nino effect. The degraded ecological environment is due to rivers and lakes which did not have enough suitable locations for the discharge of excessive rainwater, resulting in urban waterlogging. Additionally, the lower reaches of the Yangtze River would suffer from more severe flooding if the Three Gorges Dam does not function as usual during the flood period. Thus, preventing flooding hazards and mitigating damages have become some of the most urgent urban environmental management affairs for authorities in China.
- (3)
- To mitigate flooding hazards, China proposed a new strategy named Spongy City (SPC) in 2014, drawing on international experiences. SPC promotes sustainable city development so that a city has the resilience to adapt to climate change, to mitigate the impacts of waterlogging caused by extreme rainfall events. Some SPC construction-related problems, including local inundation in streets and flooding in rivers, meant that storm water use, water resource shortage, and water pollution control improved. Dredging rivers, constructing more LID facilities, and intercepting and purifying surface water are recommended to solve these problems.
- (4)
- In addition to the traditional flood risk assessment approach (e.g., statistical data-based analysis, multi-criteria index analysis, GIS-based techniques, and scenario-based analysis), remote sensing technologies, as well as LiDAR data, were recommended for applications in flood risk assessment and management in flood prone areas.
Author Contributions
Acknowledgments
Conflicts of Interest
References
- IPCC. Climate Change: Observed and Projected Changes in Climate as They Relate to Water; Cambridge University Press: Cambridge, UK, 2008. [Google Scholar]
- IPCC. Climate Change: Radiative Forcing of Climate Change and an Evaluation of the IPCC IS92 Emission Scenarios; Cambridge University Press: Cambridge, UK, 1995. [Google Scholar]
- Doornkamp, J.C. Coastal flooding, global warming and environmental management. J. Environ. Manag. 1998, 52, 327–333. [Google Scholar] [CrossRef]
- Peng, J.; Peng, F.L. A GIS-Based evaluation method of underground space resource for urban spatial planning: Part 1 Methodology. Tunnel. Undergr. Space Technol. 2018, 74, 82–95. [Google Scholar] [CrossRef]
- Qiao, Y.K.; Peng, F.L.; Wang, Y. Monetary valuation of urban underground space: A critical issue for the decision-making of urban underground space development. Land Use Policy 2017, 69, 12–24. [Google Scholar] [CrossRef]
- Ni, J.; Sun, L.; Li, T. Assessment of flooding impacts in terms of sustainability in mainland China. J. Environ. Manag. 2010, 91, 1930–1942. [Google Scholar] [CrossRef] [PubMed]
- Gallina, V.; Torresan, S.; Critto, A. A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment. J. Environ. Manag. 2016, 168, 123–132. [Google Scholar] [CrossRef] [PubMed]
- Lyu, H.M.; Wang, G.F.; Cheng, W.C. Tornado hazards on June 23rd in Jiangsu Province, China: Preliminary investigation and analysis. Nat. Hazards 2017, 85, 597–604. [Google Scholar] [CrossRef]
- Peng, C.; Yuan, M.; Gu, C.; Peng, Z.; Ming, T. A review of the theory and practice of regional resilience. Sustain. Cities Soc. 2017, 29, 86–96. [Google Scholar] [CrossRef]
- Wu, H.N.; Shen, S.L.; Liao, S.M.; Yin, Z.Y. Longitudinal structural modelling of shield tunnels considering shearing dislocation between segmental rings. Tunnel. Undergr. Space Technol. 2015, 50, 317–323. [Google Scholar] [CrossRef]
- Du, Y.J.; Jiang, N.J.; Shen, S.L.; Jin, F. Experimental investigation of influence of acid rain on leaching and hydraulic characteristics of cement-based solidified/stabilized lead contaminated clay. J. Hazards Mater. 2012, 225–226, 195–201. [Google Scholar] [CrossRef] [PubMed]
- Wu, Y.X.; Shen, S.L.; Yuan, D.J. Characteristics of dewatering induced drawdown curve under barrier effect of retaining wall in aquifer. J. Hydrol. 2016, 539, 554–566. [Google Scholar] [CrossRef]
- Xu, Y.S.; Shen, S.L.; Ren, D.J.; Wu, H.N. Analysis of factors in land subsidence in Shanghai: A view based on a strategic environmental assessment. Sustainability 2016, 8, 573. [Google Scholar] [CrossRef]
- Shen, S.L.; Wu, H.N.; Cui, Y.J.; Yin, Z.Y. Long-term settlement behavior of metro tunnels in the soft deposits of Shanghai. Tunnel. Undergr. Space Technol. 2014, 40, 309–323. [Google Scholar] [CrossRef]
- Shen, S.L.; Cui, Q.L.; Ho, C.E.; Xu, Y.S. Ground response to multiple parallel microtunneling operations in cemented silty clay and sand. J. Geotech. Geoenviron. Eng. 2016, 142, 04016001. [Google Scholar] [CrossRef]
- Shen, S.L.; Wang, Z.F.; Cheng, W.C. Estimation of lateral displacement induced by jet grouting in clayey soils. Geotechnique. ICE 2017, 67, 621–630. [Google Scholar] [CrossRef]
- Qiu, B.X. Challenges and strategies for China’s urbanisation. Urban. Stud. 2010, 17, 1–7. (In Chinese) [Google Scholar]
- Tan, Y.; Wei, B.; Diao, Y.; Zhou, X. Spatial corner effects of long and narrow multipropped deep excavations in Shanghai soft clay. J. Perform. Construct. Facil. ASCE 2014, 28, 04014015. [Google Scholar] [CrossRef]
- Tan, Y.; Lu, Y. Why excavation of a small air shaft caused excessively large displacements: Forensic investigation. J. Perform. Construct. Facil. ASCE 2016, 31, 04016083. [Google Scholar] [CrossRef]
- Arulrajah, A.; Yaghoubi, E.; Imteaz, M.; Horpibulsuk, S. Recycled waste foundry sand as a sustainable subgrade fill and pipe-bedding construction material: Engineering and environmental evaluation. Sustain. Cities Soc. 2017, 28, 343–349. [Google Scholar] [CrossRef]
- Shen, S.L.; Wu, Y.X.; Xu, Y.S.; Hino, T.; Wu, H.N. Evaluation of hydraulic parameters from pumping tests of multi-aquifers with vertical leakage Tianjin. Comput. Geotech. 2015, 68, 196–207. [Google Scholar] [CrossRef]
- Shen, S.L.; Wu, Y.X.; Misra, A. Calculation of head difference at two sides of a cut-off barrier during excavation dewatering. Comput. Geotech. 2017, 91, 192–202. [Google Scholar] [CrossRef]
- Lyu, H.M.; Cheng, W.C.; Shen, J.S. Investigation of collapsed building incidents on soft marine deposit: Both from social and technical perspectives. Land 2018, 7, 20. [Google Scholar] [CrossRef]
- Yin, Z.Y.; Jin, Y.F.; Shen, J.S.; Hicher, P.Y. Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement. Int. J. Numer. Anal. Methods Geomech. 2018, 42, 70–94. [Google Scholar] [CrossRef]
- Yin, Z.Y.; Hicher, P.Y.; Dano, C.; Jin, Y.F. Modeling the mechanical behavior of very coarse granular materials. J. Eng. Mech. 2017, 143, C4016006. [Google Scholar] [CrossRef]
- Jin, Y.F.; Yin, Z.Y.; Wu, Z.X.; Zhou, W.H. Identifying parameters of easily crushable sand and application to offshore pile driving. Ocean Eng. 2018, 154, 416–429. [Google Scholar] [CrossRef]
- Lyu, H.M.; Wang, G.F.; Shen, J.S.; Lu, L.H.; Wang, G.Q. Analysis and GIS mapping of flooding hazards on 10 May, 2016, Guangzhou, China. Water. 2016, 8, 447. [Google Scholar] [CrossRef]
- Shen, S.L.; Xu, Y.S. Numerical evaluation of land subsidence induced by groundwater pumping in Shanghai. Can. Geotech. J. 2011, 48, 1378–1392. [Google Scholar] [CrossRef]
- Yin, J.; Ye, M.; Yin, Z.; Xu, S. A review of advances in urban flood risk analysis over China. Stoch. Environ. Res. Risk Assess. 2015, 29, 1063–1070. [Google Scholar] [CrossRef]
- Zhang, L.; Zhu, Q.; Zhang, L.; Liang, D.Q.; Tian, Y.X. An efficient algorithm to plot flooded intertidal areas. Comput. Geosci. 2009, 35, 1072–1078. [Google Scholar] [CrossRef]
- Lyu, H.M.; Sun, W.J.; Shen, S.L.; Arulrajah, A. Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach. Sci. Total Environ. 2018, 626, 1012–1025. [Google Scholar] [CrossRef]
- Lyu, H.M.; Shen, S.L.; Arulrajah, A. Assessment of geohazards and preventative countermeasures using AHP incorporated with GIS in Lanzhou, China. Sustainability 2018, 10, 304. [Google Scholar] [CrossRef]
- Cheng, W.C.; Ni, J.C.; Shen, S.L. Experimental and analytical modeling of shield segment under cyclic loading. Int. J. Geomech. 2016, 17, 04016146. [Google Scholar] [CrossRef]
- Zhao, S.; Yang, S. Dynamical prediction of the early season rainfall over southern China by the NCEP climate forecast system. Weather Forecast. 2014, 29, 1391–1401. [Google Scholar] [CrossRef]
- Madu, C.N.; Kuei, C.H.; Lee, P. Urban sustainability management: A deep learning perspective. Sustain. Cities Soc. 2017, 30, 1–17. [Google Scholar] [CrossRef]
- Samel, A.N.; Liang, X.Z. Understanding relationships between the 1998 Yangtze River flood and northeast Eurasian blocking. Clim. Res. 2003, 149–158. [Google Scholar] [CrossRef]
- Shankman, D.; Keim, B.D.; Song, J. Flood frequency in China's Poyang Lake region: Trends and teleconnections. Int. J. Climatol. 2006, 26, 1255–1266. [Google Scholar] [CrossRef]
- Shankman, D.; Keim, B.D.; Nakayama, T. Hydroclimate analysis of severe floods in China’s Poyang Lake region. Earth Interact. 2012, 16. [Google Scholar] [CrossRef]
- Ward, P.J.; Kummu, M.; Lall, U. Flood frequencies and durations and their response to El Niño Southern Oscillation: Global analysis. J. Hydrol. 2016, 539, 358–378. [Google Scholar] [CrossRef]
- Li, Y.; Zhang, C.; Wang, Y. The verification of millennial-scale monsoon water vapor transport channel in northwest China. J. Hydrol. 2016, 536, 273–283. [Google Scholar] [CrossRef]
- Zhu, Z.; Li, T. Amplified contiguous United States summer rainfall variability induced by east asian monsoon interdecadal change. Clim. Dyn. 2017, 4, 1–14. [Google Scholar] [CrossRef]
- Lu, M.M.; Chu, P.S.; Lin, Y.C. Seasonal prediction of tropical cyclone activity near Taiwan using the Bayesian multivariate regression method. Weather Forecast. 2010, 25, 1780–1795. [Google Scholar] [CrossRef]
- Huang, J.; Du, J.; Qian, W. A comparison between a generalized beta–advection model and a classical beta–advection model in predicting and understanding unusual typhoon tracks in eastern China seas. Weather Forecast. 2015, 30, 771–792. [Google Scholar] [CrossRef]
- Zhao, J.; Yang, X.G.; Liu, Z.J.; Lv, S.; Wang, J.; Dai, S.W. Variations in the potential climatic suitability distribution patterns and grain yields for spring maize in Northeast China under climate change. Clim. Chang. 2016, 137, 29–42. [Google Scholar] [CrossRef]
- Song, J. Reconstruction of the southern oscillation from dryness/wetness in China for the last 500 years. Int. J. Climatol. 1998, 18, 1345–1355. [Google Scholar] [CrossRef]
- China Weather. Available online: http://www.weather.com.cn/ (accessed on 20 June 2016).
- Min, Q. Preliminary analysis of Poyang Lake relatively big flood occurrence characteristics during the past 500 years. Jiangxi Hydraulic Sci. Technol. 1999, 18, 76–83. [Google Scholar]
- Edmonds, R.L. The Sanxia (Three Gorges) Project: The environmental argument surrounding China’s super dam. Glob. Ecol. Biogeogr. Lett. 1992, 2, 105–125. [Google Scholar] [CrossRef]
- Tullos, D. Assessing the influence of environmental impact assessments on science and policy: An analysis of the Three Gorges Project. J. Environ. Manag. 2009, 90, S208–S223. [Google Scholar] [CrossRef] [PubMed]
- Lee, B.S.; You, G.J.Y. An assessment of long-term overtopping risk and optimal termination time of dam under climate change. J. Environ. Manag. 2013, 121, 57–71. [Google Scholar] [CrossRef] [PubMed]
- China News. Available online: http://www.chinanews.com/ (accessed on 7 June 2016).
- National Science & Technology Infrastructure. Available online: http://data.cma.cn/ (accessed on 10 June 2016).
- The Latest News on Rainstorm in Wuhan on July 6, 2016. Available online: https://www.keyunzhan.com/tianqi/news-54776/ (accessed on 10 June 2016).
- National Climate Center (NCC), CMA. Special for El Nino topics. Available online: https://www.natureindex.com/institution-outputs/china/national-climate-center-ncc-cma/582d53f9140ba0a9428b456e (accessed on 20 June 2016).
- The Three Gorges Project has been put to the Test and Played Its Role in Stopping Floods, Clipping Peaks, and Shifting Peaks. Available online: http://energy.people.com.cn/GB/115016/140071/198636/index.html (accessed on 12 June 2016).
- Deng, M.R.; Luo, Y.T.; Han, Q. Monitoring and analysis of water and soil loss in Dongting Lake region based on GIS. J. Hengyang Normal Univ. 2016, 37, 118–124. (In Chinese) [Google Scholar]
- Plate, E.J. Flood risk and flood management. J. Hydrol. 2002, 267, 2–11. [Google Scholar] [CrossRef]
- Marchi, L.; Borga, M.; Preciso, E.; Gaume, E. Characterisation of selected extreme flash floods in Europe and implications for flood risk management. J. Hydrol. 2010, 394, 118–133. [Google Scholar] [CrossRef]
- Gouldby, B.; Sayers, P.; Mulet-Marti, J.; Hassan, M.A.A.M.; Benwell, D. A methodology for regional-scale flood risk assessment. Water Manag. 2008, 161, 169–182. [Google Scholar] [CrossRef]
- Wu, Y.; Zhong, P.A.; Xu, B.; Zhu, F.; Ma, B. Changing of flood risk due to climate and development in Huaihe River basin, China. Stoch. Environ. Res. Risk Assess. 2016, 31, 935–948. [Google Scholar] [CrossRef]
- 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. 2015, 75, 105–117. [Google Scholar] [CrossRef]
- French, J.R. Airborne LiDAR in support of geomorphological and hydraulic modelling. Earth Surf. Process. Landf. 2003, 28, 321–335. [Google Scholar] [CrossRef]
- Lim, K.; Treitz, P.; Wulder, M.; St-Onge, B.; Flood, M. LiDAR remote sensing of forest structure. Prog. Phys. Geogr. 2003, 27, 88–106. [Google Scholar] [CrossRef]
- Sharma, P.K.; Chopra, R.; Verma, V.K.; Thomas, A. Technical note flood management using remote sensing technology: The Punjab (India) experience. Int. J. Remote Sens. 1996, 17, 3511–3521. [Google Scholar] [CrossRef]
- Bates, P.D. Remote sensing and flood inundation modelling. Hydrol. Process. 2004, 18, 2593–2597. [Google Scholar] [CrossRef]
- Nott, J. Extreme Events: A physical Reconstruction and Risk Assessment; Cambridge University Press: Cambridge, UK, 2006. [Google Scholar]
- Jiang, W.; Deng, L.; Chen, L.; Wu, J.; Li, J. Risk assessment and validation of flood disaster based on fuzzy mathematics. Prog. Nat Sci. 2009, 19, 1419–1425. [Google Scholar] [CrossRef]
- Tanavud, C.; Yongchalermchai, C.; Bennui, A.; Densreeserekul, O. Assessment of flood risk in Hat Yai municipality, Southern Thailand, using GIS. J. Nat. Dis. Sci. 2004, 26, 1–14. [Google Scholar] [CrossRef]
- Willems, P. Revision of urban drainage design rules after assessment of climate change impacts on precipitation extremes at Uccle, Belgium. J. Hydrol. 2013, 496, 166–177. [Google Scholar] [CrossRef]
- Kourgialas, N.N.; Karatzas, G.P. A hydro-sedimentary modeling system for flash flood propagation and hazard estimation under different agricultural practices. Nat. Hazards Earth Syst. Sci. 2014, 1, 5855–5880. [Google Scholar] [CrossRef]
- Chatterjee, C.; Förster, S.; Bronstert, A. Comparison of hydrodynamic models of different complexities to model floods with emergency storage areas. Hydrol. Process. 2008, 22, 4695–4709. [Google Scholar] [CrossRef]
- Rodríguez-Blanco, M.L.; Taboada-Castro, M.M.; Taboada-Castro, M.T. Factors controlling hydro-sedimentary response during runoff events in a rural catchment in the humid Spanish zone. Catena 2010, 82, 206–217. [Google Scholar] [CrossRef]
- Herk, S.V.; Zevenbergen, C.; Ashley, R.; Rijke, J. Learning and action alliances for the integration of flood risk management into urban planning: A new framework from empirical evidence from the Netherlands. Environ. Sci. Policy 2011, 14, 543–554. [Google Scholar] [CrossRef]
- Gupta, K. Urban flood resilience planning and management and lessons for the future: A case study of Mumbai, India. Urban Water J. 2007, 4, 183–194. [Google Scholar] [CrossRef]
- Lamond, J.E.; Proverbs, D.G. Resilience to flooding: Lessons from international comparison. Proceed. Instit. Civ. Eng.-Urban Des. Plan. 2009, 162, 63–70. [Google Scholar] [CrossRef]
- Khan, S.I.; Hong, Y.; Wang, J.; Yilmaz, K.K.; Gourley, J.J.; Adler, R.F.; Irwin, D. Satellite remote sensing and hydrologic modeling for flood inundation mapping in Lake Victoria basin: Implications for hydrologic prediction in ungauged basins. IEEE Trans. Geosci. Remote Sens. 2011, 49, 85–95. [Google Scholar] [CrossRef]
- Shen, D.; Rui, Y.; Wang, J.; Zhang, Y.; Cheng, L. Flood inundation extent mapping based on block compressed tracing. Comput. Geosci. 2015, 80, 74–83. [Google Scholar] [CrossRef]
- Alam, M.J. “The organized encroachment of land developers”—Effects on urban flood management in Greater Dhaka, Bangladesh. Sustain. Cities Soc. 2014, 10, 49–58. [Google Scholar] [CrossRef]
- Li, X.N.; Li, J.Q.; Fang, X.; Gong, Y.W.; Wang, W.L. Case studies of the Sponge City Program in China. World Environ. Water Resour. Congr. 2016, 295–306. [Google Scholar] [CrossRef]
- Shen, S.L.; Wang, J.P.; Wu, H.N.; Xu, Y.S.; Ye, G.L.; Yin, Z.Y. Evaluation of hydraulic conductivity for both marine and deltaic deposits based on piezocone testing. Ocean Eng. 2015, 110, 174–182. [Google Scholar] [CrossRef]
- Chen, Y.; Samuelson, H.W.; Tong, Z. Integrated design workflow and a new tool for urban rainwater management. J. Environ. Manag. 2016, 180, 45–51. [Google Scholar] [CrossRef] [PubMed]
- Wu, D.J.; Zhan, S.Z.; Li, Y.H.; Tu, M.Z.; Zhen, J.Y.; Guo, Y.Y.; Peng, H.Y. New trends and practical research on the Sponge Cities with Chinese characteristics. China Soft Sci. 2016, 1, 79–97. [Google Scholar]
- Geiger, W.F. Sponge city and LID Technology—Vision and tradition. Landsc. Arch. Front. 2015, 3, 10–22. [Google Scholar]
- Ministry of Housing and Urban-Rural Development of the People’s Republic of China. Performance Evaluation and Assessment Method for Sponge City Construction. 2014, No. 635. Available online: http://www.mohurd.gov.cn/wbdt/ (accessed on 20 August 2016). (In Chinese)
- Hao, W.; Chao, M.; Liu, J. H.; Shao, W.W. A new strategy for integrated urban water management in china: Sponge city. Sci. China Technol. Sci. 2018, 61, 1–13. [Google Scholar]
- Decree of Shanghai Municipal People’s Government. The state council general office pushing the guidance for Construction Sponge City (in Chinese), 2015, No. 111. Available online: http://www.shanghai.gov.cn.html (accessed on 16 August 2016).
- Costa, D.; Burlando, P.; Priadi, C. The importance of integrated solutions to flooding and water quality problems in the tropical megacity of Jakarta. Sustain. Cities Soc. 2016, 20, 199–209. [Google Scholar] [CrossRef]
- Cui, B.S.; Wang, C.F.; Tao, W.D.; You, Z.Y. River channel network design for drought and flood control: A case study of Xiaoqinghe River basin, Jinan City, China. J. Environ. Manag. 2009, 90, 3675–3686. [Google Scholar] [CrossRef] [PubMed]
- Dai, S.Z. Research on the planning and construction strategy of Sponge City in Shanghai. Shanghai Urban Plan. Rev. 2016, 1, 9–12. (In Chinese) [Google Scholar]
Province | Affected People (Thousands) | Death Toll | Missing People | Collapsed Houses | Crops (Thousand Hectares) | Economy Loss ($ Billion USD) |
---|---|---|---|---|---|---|
Jiangsu | 553 | 0 | 0 | 4400 | 122.9 | 14.3 |
Anhui | 6647 | 17 | 2 | 11,000 | 532.6 | 137.5 |
Jiangxi | 799 | 0 | 0 | 1200 | 54.3 | 9.1 |
Henan | 128 | 6 | 0 | 1200 | 9.1 | 4.6 |
Hubei | 9994 | 48 | 14 | 16,000 | 923.3 | 135.7 |
Hunan | 4044 | 11 | 2 | 5100 | 250.9 | 53.9 |
Guangxi | 21 | 0 | 2 | - | 1.1 | 0.22 |
Chongqing | 525 | 9 | 2 | 1800 | 21.7 | 6.1 |
Sichuan | 18 | 1 | 0 | - | 1.9 | 0.34 |
Guizhou | 516 | 41 | 20 | 3100 | 15.8 | 18.8 |
Yunnan | 89 | 1 | 0 | - | 1.3 | 1.2 |
Time | Affected People (Thousands) | Death Toll | Collapsed House (Thousands) | Crops (Thousand Hectares) | Economic Loss ($ Billion USD) |
---|---|---|---|---|---|
1998 | 100,000 | 1800 | 43,000 | 10,000 | 150 |
2016 | 32,820 | 186 | 11,000 | 2942 | 506 |
Time | Inflow (m3/s) | Outflow (m3/s) |
---|---|---|
30 June 2:00 p.m. | 31,000 | 29,900 |
1 July 2:00 p.m. | 50,000 | 31,000 |
2 July 2:00 p.m. | 39,000 | 30,300 |
10 June (ordinary time) | 18,000 | 20,000 |
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lyu, H.-M.; Xu, Y.-S.; Cheng, W.-C.; Arulrajah, A. Flooding Hazards across Southern China and Prospective Sustainability Measures. Sustainability 2018, 10, 1682. https://doi.org/10.3390/su10051682
Lyu H-M, Xu Y-S, Cheng W-C, Arulrajah A. Flooding Hazards across Southern China and Prospective Sustainability Measures. Sustainability. 2018; 10(5):1682. https://doi.org/10.3390/su10051682
Chicago/Turabian StyleLyu, Hai-Min, Ye-Shuang Xu, Wen-Chieh Cheng, and Arul Arulrajah. 2018. "Flooding Hazards across Southern China and Prospective Sustainability Measures" Sustainability 10, no. 5: 1682. https://doi.org/10.3390/su10051682
APA StyleLyu, H. -M., Xu, Y. -S., Cheng, W. -C., & Arulrajah, A. (2018). Flooding Hazards across Southern China and Prospective Sustainability Measures. Sustainability, 10(5), 1682. https://doi.org/10.3390/su10051682