A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier

Science of the Total Environment

Volumn 630, Issue , 2018, Pages 264-274

  Tang, Xianzhe ^a   Shu, Yuqin ^a   Lian, Yanqing ^a,b   Zhao, Yaolong ^a   Fu, Yingchun ^a  

^a SOUTH CHINA NORMAL UNIVERSITY   (China)

^b ILLINOIS STATE WATER SURVEY   (United States)

Author keywords

GIS; MAST; Spatial framework; Spatial pattern

Indexed keywords

BARIUM COMPOUNDS; BEHAVIORAL RESEARCH; DECISION MAKING; GEOGRAPHIC INFORMATION SYSTEMS; RISK ANALYSIS; RISKS; SODIUM; SODIUM COMPOUNDS; UNCERTAINTY ANALYSIS;

CONDITIONAL PROBABILITY TABLES; MAST; NATURAL ENVIRONMENTS; PROBABILITY INFERENCE; SPATIAL ASSESSMENT; SPATIAL EVALUATIONS; SPATIAL FRAMEWORK; SPATIAL PATTERNS;

RISK ASSESSMENT;

BAYESIAN ANALYSIS; DECISION MAKING; GIS; PROBABILITY; RISK ASSESSMENT; SPATIAL ANALYSIS; UNCERTAINTY ANALYSIS; URBAN AREA; WATERLOGGING;

ARTICLE; CHINA; CLASSIFIER; CONDITIONAL PROBABILITY TABLE; DATA PROCESSING; LAND USE; NAIVE BAYES CLASSIFIER; PRIORITY JOURNAL; PROBABILITY; RISK; SOIL; URBAN AREA; VEGETATION; WATER RETENTION; WATERLOGGING; DECISION MAKING; HUMAN; HUMAN EXPERIMENT; RISK ASSESSMENT;

CHINA; GUANGDONG; GUANGZHOU;

EID: 85042367743     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2018.02.172     Document Type: Article

References (41)

1. Aguilera, P.A., Fernández, A., Ropero, R.F., Molina, L., Groundwater quality assessment using data clustering based on hybrid Bayesian networks. Stoch. Env. Res. Risk A. 27:2 (2013), 435–447.
2. Bajabaa, S., Masoud, M., Al-Amri, N., Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia). Arab. J. Geosci. 7:6 (2014), 2469–2481.
3. Bisht, D.S., Chatterjee, C., Kalakoti, S., Upadhyay, P., Sahoo, M., Panda, A., Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study. Nat. Hazards 84:2 (2016), 749–776.
4. Chen, J., Tianjin downtown waterlogging Risk analysis and management based on scenario simulation. Master Degree Thesis, 2010, East China Normal University (in Chinese).
5. Chen, A.S., Evans, B., Djordjević, S., Savić, D.A., Multi-layered coarse grid modelling in 2D urban flood simulations. J. Hydrol. 470-471 (2012), 1–11.
6. Chen, Y., Wang, B., Pollino, C.A., Cuddy, S.M., Merrin, L.E., Huang, C., Estimate of flood inundation and retention on wetlands using remote sensing and GIS. Ecohydrology 7:5 (2014), 1412–1420.
7. Chen, Y., Liu, R., Barrent, D., Gao, L., Zhou, M., Renzullo, L., Emelyanova, I., A spatial assessment framework for evaluating flood risk under extreme climates. Sci. Total Environ. 538 (2015), 512–523.
8. Dlamini, W.M., A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland. Environ. Model. Softw. 25:2 (2010), 199–208.
9. Ghimire, B., Chen, A.S., Guidolin, M., Keedwell, E.C., Djordjević, S., Savić, D.A., Formulation of a fast 2D urban pluvial flood model using a cellular automata approach. J. Hydroinf. 15:3 (2013), 676–686.
10. Grêt-Regamey, A., Straub, D., Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS. Nat. Hazards Earth Syst. Sci. 6:6 (2006), 911–926.
11. Jiang, L., Chen, Y., Wang, H., Urban flood simulation based on the SWMM model. Proceedings of the International Association of Hydrological Sciences, Guangzhou, China, vol. 368, 2015, 186–191.
12. Jin, F., Pei, L., Chen, H., Zhou, L., Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making. Knowl.-Based Syst. 59 (2014), 132–141.
13. Lai, C., Chen, X., Chen, X., Wang, Z., Wu, X., Zhao, S., A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory. Nat. Hazards 77:2 (2015), 1243–1259.
14. Lai, C., Shao, Q., Chen, X., Wang, Z., Zhou, X., Yang, B., Zhang, L., Flood risk zoning using a rule mining based on ant colony algorithm. J. Hydrol. 542 (2016), 268–280.
15. Lhomme, J., Sayers, P., Gouldby, B., Samuels, P., Wills, M., Mulet-Marti, J., Recent development and application of a rapid flood spreading method. Proceedings of Floodrisk 2008, 2008, Oxford, UK, 15–24.
16. Li, L., Wang, J., Leung, H., Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk. Int. J. Geogr. Inf. Sci. 24:12 (2010), 1759–1784.
17. Li, B., Zhao, Y., Fu, Y., Spatio-temporal characteristics of urban storm waterlogging in Guangzhou and the impact of urban growth. Earth Information Science. 17:4 (2015), 445–450 (in Chinese).
18. Liao, W., Wang, C., Zhou, X., Wang, Z., Simulation and application on storm flood in Dongguan City based on SWMM. International Conference on Mechatronics, Electronic, Industrial and Control Engineering, Shenyang, China, 2014, 370–374.
19. Lindberg, J., Locating potential flood areas in an urban environment using remote sensing and GIS, case study land, Sweden. Master Degree Thesis, 2015, Lund University.
20. Liu, N., Risk evaluation of rainstorm waterlogging disaster in Nanjing urban area. Master Degree Thesis, 2013, Nanjing University of Information Science & Technology (in Chinese).
21. Liu, R., Chen, Y., Wu, J., Gao, L., Barrett, D., Xu, T., Li, L., Huang, C., Yu, j., Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia. Stoch. Env. Res. Risk A. 30:6 (2016), 1575–1590.
22. Liu, R., Chen, Y., Wu, J., Gao, L., Barrett, D., Xu, T., Li, X., Li, L., Huang, C., Yu, J., Integrating entropy-based Naive Bayes and Gis for spatial evaluation of flood hazard. Risk Anal. 37:4 (2017), 756–773.
23. Mancino, G., Nolè, A., Ripullone, F., Ferrara, A., Landsat TM imagery and NDVI differencing to detect vegetation change: assessing natural forest expansion in Basilicata, southern Italy. Iforest-Biogeosciences and Forestry. 7:2 (2014), 75–84.
24. McCuen, R.H., A Guide to hydrologic Analysis Using SCS Methods. 1982, Prentice-Hall, Inc., Englewood Cliffs, New Jersey.
25. Néelz, S., Pender, G., Benchmarking of 2D hydraulic modelling packages. Report, 2010, Environment Agency.
26. Ramakrishnan, D., Bandyopadhyay, A., Kusuma, K.N., SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin, India. J. Earth Syst. Sci. 118:4 (2009), 355–368.
27. Saaty, T.L., A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15 (1977), 57–68.
28. Saaty, T.L., The Analytic Hierarchy Process. 1980, McGraw-Hill, New York.
29. Shannon, C.E., A mathematical theory of communication. Bell Syst. Tech. J. 27:3 (1948), 379–423 (623–656).
30. Stefanidis, S., Stathis, D., Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat. Hazards 68:2 (2013), 569–585.
31. Sun, L., Sun, R., Li, X., Chen, H., Zhang, X., Estimating evapotranspiration using improved fractional vegetation cover and land surface temperature space. Journal of Resources and Ecology. 2:3 (2011), 225–231.
32. Taheri, S., Yearwood, J., Mammadov, M., Seifollahi, S., Attribute weighted Naive Bayes classifier using a local optimization. Neural Comput. & Applic. 24:5 (2014), 995–1002.
33. Tehrany, M.S., Pradhan, B., Jebur, M.N., Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J. Hydrol. 504 (2013), 69–79.
34. Temprano, J., Arango, Ó., Cagiao, J., Suárez, J., Tejoro, I., Stormwater quality calibration by SWMM: a case study in Northern Spain. Water SA 32:1 (2005), 55–63.
35. Wang, Z., Lai, C., Chen, X., Yang, B., Zhao, S., Bai, X., Flood hazard risk assessment model based on random forest. J. Hydrol. 527 (2015), 1130–1141.
36. Wanniarachchi, S.S., Wijesekera, N.T.S., Using SWMM as a tool for floodplain Management in Ungauged Urban watershed. Engineer XXXXV:1 (2012), 1–8.
37. Xie, Y., Li, D., Li, P., Sheng, S., Yin, J., Han, S., Zeng, M., Research and application of the mathematical model of urban rainstorm waterlogging. Adv. Water Sci. 16:3 (2005), 384–390 (in Chinese).
38. Zhang, S., Pan, B., An urban storm-inundation simulation method based on GIS. J. Hydrol. 517 (2014), 260–268.
39. Zhang, S., Wang, T., Zhao, B., Calculation and visualization of flood inundation based on a topographic triangle network. J. Hydrol. 509 (2014), 406–415.
40. Zhu, Z., Fu, Y., Woodcock, C.E., Olofsson, P., Vogelmann, J.E., Holden, C., Wang, M., Dai, S., Yu, Y., Including land cover change in analysis of greenness trends using all available Landsat 5, 7 and 8 images: a case study from Guangzhou, China (2000-2014). Remote Sens. Environ. 185 (2016), 243–257.
41. Zou, Q., Zhou, J., Zhou, C., Song, L., Guo, J., Comprehensive flood risk assessment based on set pair analysis variable fuzzy sets model and fuzzy AHP. Stoch. Env. Res. Risk A. 27:2 (2013), 525–546.