Back
 GEP  Vol.9 No.1 , January 2021
Comprehensive Evaluation of Flood and Flood in the Yellow River Basin Based on Gray Correlation Analysis
Abstract:
Due to the concentrated rainfall and serious soil erosion in July and August in the Yellow River Basin, the flood discharge is not timely leading to serious floods. Therefore, a reasonable assessment of the flood-affected areas, advance arrangements for the deployment of the Yellow River basin flood disaster prevention and control plays a decisive role. For this purpose, this paper proposes a level assessment method based on the flood which analyzes three factors related to flooding disaster (disaster impact range, social index, and property index) through the gray correlation analysis method, to evaluate the level of flood disaster. Different from the traditional assessment method, which evaluates the nature of flood from the perspective of indicators such as frequency, duration, and magnitude, or indirect factors such as rainfall and soil loss, this paper conducts qualitative calculation of macro-scale indicators from the perspective of post-disaster losses in previous years. This study provides a new way of thinking and method for the classification of the flood disaster, which has certain practical application value under the condition of conforming to its own use.
Cite this paper: Mo, H. (2021) Comprehensive Evaluation of Flood and Flood in the Yellow River Basin Based on Gray Correlation Analysis. Journal of Geoscience and Environment Protection, 9, 13-24. doi: 10.4236/gep.2021.91002.
References

[1]   Abdelkarim, A., Gaber, A. F. D., Youssef, A. M., & Pradhan, B. (2019). Flood Hazard Assessment of the Urban Area of Tabuk City, Kingdom of Saudi Arabia by Integrating Spatial-Based Hydrologic and Hydrodynamic Modeling. Sensors, 19. https://doi.org/10.3390/s19051024

[2]   Andrade, C., Rodrigues, S., & Corte-Real, J. A. (2018). Preliminary Assessment of Flood Hazard in Nabao River Basin Using an Analytical Hierarchy Process. International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2017), 1978. https://doi.org/10.1063/1.5043854

[3]   Banda, W. (2019). An Integrated Framework Comprising of AHP, Expert Questionnaire Survey and Sensitivity Analysis for Risk Assessment in Mining Projects. International Journal of Management Sci-ence and Engineering Management, 14, 180-192. https://doi.org/10.1080/17509653.2018.1516577

[4]   Bhat, M. S., Ahmad, B., Alam, A., Farooq, H., & Ahmad, S. (2019a). Flood Hazard Assessment of the Kashmir Valley Using Historical Hydrology. Journal of Flood Risk Management, 12. https://doi.org/10.1111/jfr3.12521

[5]   Bhat, M. S., Alam, A., Ahmad, S., Farooq, H., & Ahmad, B. (2019b). Flood Hazard Assessment of Upper Jhelum Basin Using Morphometric Parameters. Environmental Earth Sciences, 78. https://doi.org/10.1007/s12665-019-8046-1

[6]   Costache, R., Hong, H. Y., & Pham, Q. B. (2020). Comparative Assessment of the Flash-Flood Potential within Small Mountain Catchments Using Bivariate Statistics and Their Novel Hybrid Integration with Machine Learning Models. Science of the Total Environment, 711. https://doi.org/10.1016/j.scitotenv.2019.134514

[7]   D’Oria, M., Maranzoni, A., & Mazzoleni, M. (2019). Probabilistic Assessment of Flood Hazard Due to Levee Breaches Using Fragility Functions. Water Resources Research, 55, 8740-8764. https://doi.org/10.1029/2019WR025369

[8]   Dou, X. Y. et al. (2018). Flood Risk Assessment and Mapping Based on a Modified Multi-Parameter Flood Hazard Index Model in the Guanzhong Urban Area, China. Stochastic Environmental Research and Risk Assessment, 32, 1131-1146. https://doi.org/10.1007/s00477-017-1429-5

[9]   Elsadek, W. M., Ibrahim, M. G., Mahmod, W. E., & Kanae, S. (2019). Developing an Overall Assessment Map for Flood Hazard on Large Area Watershed Using Multi-Method Approach: Case Study of Wadi Qena Watershed, Egypt. Natural Hazards, 95, 739-767. https://doi.org/10.1007/s11069-018-3517-3

[10]   Evin, G., Wilhelm, B., & Jenny, J. P. (2019). Flood Hazard Assessment of the Rhone River Revisited with Reconstructed Discharges from Lake Sediments. Global and Planetary Change, 172, 114-123. https://doi.org/10.1016/j.gloplacha.2018.09.010

[11]   Fan, J. R., An, C. C., Zhang, X. Y., Li, X., & Tan, J. J. (2019). Hazard Assessment of Glacial Lake Outburst Floods in Southeast Tibet Based on RS and GIS Technologies. International Journal of Remote Sensing, 40, 4955-4979. https://doi.org/10.1080/01431161.2019.1577578

[12]   Fonseca, A. R., Santos, M., & Santos, J. A. (2018). Hydrological and Flood Hazard Assessment Using a Coupled Modelling Approach for a Mountainous Catchment in Portugal. Stochastic Environmental Research and Risk Assessment, 32, 2165-2177. https://doi.org/10.1007/s00477-018-1525-1

[13]   Hajian, F., Dykes, A. P., & Cavanagh, S. (2019). Assessment of the Flood Hazard Arising From Land Use Change in a Forested Catchment in Northern Iran. Journal of Flood Risk Management, 12. https://doi.org/10.1111/jfr3.12481

[14]   Hosseini, F. S. et al. (2020). Flash-Flood Hazard Assessment Using Ensembles and Bayesian-Based Machine Learning Models: Application of the Simulated Annealing Feature Selection Method. Science of the Total Environment, 711. https://doi.org/10.1016/j.scitotenv.2019.135161

[15]   Khajehei, S., Ahmadalipour, A., Shao, W. Y., & Moradkhani, H. (2020). A Place-Based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States. Scientific Reports, 10. https://doi.org/10.1038/s41598-019-57349-z

[16]   Lyddon, C., Brown, J. M., Leonardi, N., & Plater, A. J. (2018). Flood Hazard Assessment for a Hyper-Tidal Estuary as a Function of Tide-Surge-Morphology Interaction. Estuar Coast, 41, 1565-1586. https://doi.org/10.1007/s12237-018-0384-9

[17]   Manna, P., Anis, M. Z., Das, P., & Banerjee, S. (2019). Probabilistic Modeling of Flood Hazard and Its Risk Assessment for Eastern Region of India. Risk Analysis, 39, 1615-1633. https://doi.org/10.1111/risa.13333

[18]   Moftakhari, H., Schubert, J. E., AghaKouchak, A., Matthew, R. A., & Sanders, B. F. (2019). Linking Statistical and Hydrodynamic Modeling for Compound Flood Hazard Assessment in Tidal Channels and Estuaries. Advances in Water Resources, 128, 28-38. https://doi.org/10.1016/j.advwatres.2019.04.009

[19]   Press, C. M. (2019). Yearbook of Meteorological Disasters in China.

[20]   Salvadori, G., Durante, F., De Michele, C., & Bernardi, M. (2018). Hazard Assessment under Multivariate Distributional Change-Points: Guidelines and a Flood Case Study. Water, 10. https://doi.org/10.3390/w10060751

[21]   Sattar, A., Goswami, A., & Kulkarni, A. V. (2019). Hydrodynamic Moraine-Breach Modeling and Outburst Flood Routing—A Hazard Assessment of the South Lhonak Lake, Sikkim. Science of the Total Environment, 668, 362-378. https://doi.org/10.1016/j.scitotenv.2019.02.388

[22]   Sepehril, M., Malekinezhad, H., Hosseini, S. Z., & Ildoromi, A. R. (2019). Assessment of Flood Hazard Mapping in Urban Areas Using Entropy Weighting Method: A Case Study in Hamadan City, Iran. Acta Geophysica, 67, 1435-1449. https://doi.org/10.1007/s11600-019-00342-x

[23]   Sezen, H., Hur, J., Smith, C., Aldemir, T., & Denning, R. (2019). A Computational Risk Assessment Approach to the Integration of Seismic and Flooding Hazards with Internal Hazards. Nuclear Engineering and Design, 355. https://doi.org/10.1016/j.nucengdes.2019.110341

[24]   Toosi, A. S., Calbimonte, G. H., Nouri, H., & Alaghmand, S. (2019). River Basin-Scale Flood Hazard Assessment Using a Modified Multi-Criteria Decision Analysis Approach: A Case Study. Journal of Hydrology, 574, 660-671. https://doi.org/10.1016/j.jhydrol.2019.04.072

[25]   Wan, K. M., & Billa, L. (2018). Post-Flood Land Use Damage Estimation Using Improved Normalized Difference Flood Index (NDFI3) on Landsat 8 Datasets: December 2014 Floods, Kelantan, Malaysia. Arab J Geosci, 11. https://doi.org/10.1007/s12517-018-3775-0

[26]   Xiao, Y. F., Yi, S. Z., & Tang, Z. Q. (2017). Integrated Flood Hazard Assessment Based on Spatial Ordered Weighted Averaging Method Considering Spatial Heterogeneity of Risk Preference. Science of the Total Environment, 599, 1034-1046. https://doi.org/10.1016/j.scitotenv.2017.04.218

[27]   Zazo, S. et al. (2018). Flood Hazard Assessment Supported by Reduced Cost Aerial Precision Photogrammetry. Remote Sensing, 10. https://doi.org/10.3390/rs10101566

 
 
Top