Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, Gujarat, India.
J Environ Manage. 2023 Oct 15;344:118405. doi: 10.1016/j.jenvman.2023.118405. Epub 2023 Jun 16.
In the current study, flood risk assessment of densely populated coastal urban Surat City, on the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic model-based flood hazard and often neglected socioeconomic vulnerability. A two-dimensional (2D) hydrodynamic (HD) model was developed using physically surveyed topographic data and the existing land use land cover (LULC) of the study area (5248 km). The satisfactory performance of the developed model was ascertained by comparing the observed and simulated water levels/depths across the river and floodplain. The 2D HD model outputs with geographic information system (GIS) applications were further used to develop probabilistic multiparameter flood hazard maps for coastal urban city. During a 100-year return period flood (Peak discharge = 34,459 m/s), 86.5% of Surat City and its outskirt area was submerged, with 37% under the high hazard category. The north and west zones are the worst affected areas in Surat City. The socioeconomic sensitivity and adaptive capacity indicators were selected at the city's lowest administrative (ward) level. The socioeconomic vulnerability was evaluated by employing the robust data envelopment analysis (DEA) technique. Fifty-five of 89 wards in Surat City, covering 60% of the area under the jurisdiction of the Municipal Corporation, are highly vulnerable. Finally, the flood risk assessment of the city was conducted using a bivariate technique describing the distinctive contribution of flood hazard and socioeconomic vulnerability to risk. The wards adjoining the river and creek are at high flood risk, with an equal contribution of hazard and vulnerability. The ward-level hazard, vulnerability, and risk assessment of the city will help local and disaster management authorities to priorities high risk areas while planning flood management and mitigation strategies.
在当前的研究中,结合基于水动力模型的洪水灾害和经常被忽视的社会经济脆弱性,对印度塔皮河下游沿岸人口密集的沿海城市苏拉特进行了洪水风险评估。使用经过实地勘测的地形数据和研究区域现有的土地利用/土地覆盖数据(5248 平方公里),开发了一个二维(2D)水动力(HD)模型。通过比较河流和洪泛区的观测水位/水深与模拟水位/水深,确定了所开发模型的令人满意的性能。利用 2D HD 模型输出与地理信息系统(GIS)应用程序,进一步为沿海城市开发了概率多参数洪水灾害图。在 100 年一遇洪水(洪峰流量=34459m³/s)期间,苏拉特市及其郊区 86.5%被淹没,其中 37%处于高危险类别。该市的北部和西部是受影响最严重的地区。选择了城市最低行政(区)级别下的社会经济敏感性和适应能力指标。利用稳健数据包络分析(DEA)技术评估社会经济脆弱性。苏拉特市 89 个区中的 55 个,覆盖了市政公司管辖范围内 60%的区域,属于高度脆弱区。最后,使用描述洪水灾害和社会经济脆弱性对风险的独特贡献的二元技术对该市的洪水风险进行了评估。与河流和小溪相邻的区洪水风险较高,且风险由灾害和脆弱性共同构成。城市的区一级的灾害、脆弱性和风险评估将有助于地方和灾害管理当局在规划洪水管理和减轻策略时,优先考虑高风险地区。