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Spatial Variability of Flood Hazard Risks in the Balasore Coastal Block, Odisha, India

机译:印度奥里萨邦巴拉索尔沿海地段洪水灾害风险的空间变异性

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This paper pays attention on measuring and assessing the coastal flood hazard risk through quantification of flood intensity and impacts across the different Gram Panchayats (GPs) in Balasore block, Odisha, India. With respect to the June, 2008 flood event, enormity of flooding has been calculated for each GP using normalised values of measurable parameters relating flood characteristics. Thus, a Flood Magnitude Rank (FMR) has been assigned to each of the GPs according to degree of flooding severity. Similarly, Flood Impact Rank (FIR) for each GP has been derived from damage database. The product of FMR and FIR gives Flood Severity Score (FSS) of a GP which when multiplied by probability of flood event occurrence yields Flood Hazard Score (FHS) for the GP. The analysis helps dividing the study area into five flood risk zones viz. a) Very Low (FHS Below 2.0653); b) Low (FHS 2.0653 – 3.2755); c) Moderate (FHS 3.2755 – 4.4857); d) High (FHS 4.4857 – 5.6959) and e) Very high (FHS Above 5.6959), respectively. Joydebkasba, Parikhi, Bahabalpur, Sartha, Srikona falls in very high flood hazard risk class while, Patrapada, Sindhia, Rasalpur 2 tend to have very low risk from flood hazards. The rest 19 GPs along with the Balasore town of the area under study come under different risk classes in between the above two extreme classes according to their flood hazard scores.
机译:本文通过量化洪水强度和对印度奥里萨邦巴拉索尔街区的不同Gram Panchayats(GPs)的影响进行量化,来评估和评估沿海洪灾风险。对于2008年6月的洪水事件,已经使用与洪水特征相关的可测量参数的标准化值为每个GP计算了洪水的巨大程度。因此,已根据洪水严重程度为每个GP分配了洪水幅度等级(FMR)。同样,每个GP的洪水影响等级(FIR)也已从损坏数据库中得出。 FMR和FIR的乘积给出了GP的洪灾严重程度评分(FSS),乘以洪灾事件发生的概率,将得出GP的洪灾危险评分(FHS)。分析有助于将研究区域划分为五个洪水风险区。 a)非常低(FHS低于2.0653); b)低(FHS 2.0653 – 3.2755); c)中度(FHS 3.2755 – 4.4857); d)很高(FHS 4.4857 – 5.6959)和e)很高(FHS高于5.6959)。 Joydebkasba,Parikhi,Bahabalpur,Sartha和Srikona属于非常高的洪灾风险等级,而Patrapada,Sindhia和Rasalpur 2往往遭受洪灾的风险非常低。其余19名GP以及研究区域的Balasore镇根据其洪水危害评分在上述两个极端级别之间划分为不同的风险级别。

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