Department of Geography, University of Calcutta, Kolkata, 700019, West Bengal, India.
Environ Monit Assess. 2024 Apr 29;196(5):482. doi: 10.1007/s10661-024-12563-9.
The flood of Damodar river is a well-known fact which is used to the whole riverine society of the basin as well as to the eastern India. The study aims to estimate the spatio-temporal probability of floods and identify susceptible zones in the Lower Damodar Basin (LDB). A flood frequency analysis around 90 years hydrological series is performed using the Log-Pearson Type III model. The frequency ratio model has also been applied to determine the spatial context of flood. This reveals the extent to which the LDB could be inundated in response to peak discharge conditions, especially during the monsoon season. The findings indicate that 36.64% of the LDB falls under high to very high flood susceptibility categories, revealing an increasing downstream flood vulnerability trend. Hydro-geomorphic factors substantially contribute to the susceptibility of the LDB to high magnitude floods. A significant shift in flood recurrence intervals, from biennial occurrences in the pre-dam period to decadal or vicennial occurrences in the post-dam period, is observed. Despite a reduction in high-magnitude flood incidents due to dam and barrage construction, irregular flood events persist. The effect of flood in the LDB region is considered to be either positive as well as negative in terms of wholistic sense and impact. The analytical results of this research could serve to identify flood-prone zones and guide the development of flood resilience policies, thereby promoting sustainability within the LDB floodplain.
达莫达尔河洪水是一个众所周知的事实,它不仅影响着整个流域的社会,也影响着印度东部。本研究旨在评估低达莫达尔流域(LDB)洪水的时空概率,并识别易受灾区域。利用对数皮尔逊 III 模型对近 90 年的水文系列进行了洪水频率分析。还应用了频率比模型来确定洪水的空间背景。这揭示了 LDB 在多大程度上可能会因峰值流量条件而被淹没,特别是在季风季节。研究结果表明,LDB 的 36.64%属于高到极高洪水易受灾类别,显示出下游洪水脆弱性趋势的增加。水文地貌因素对 LDB 易受高强度洪水影响有很大影响。从大坝建设前的两年一遇洪峰重现期,到大坝建设后的十年或二十年一遇洪峰重现期,观察到洪峰重现期的显著变化。尽管大坝和拦河坝的建设减少了高强度洪水事件,但不规则的洪水事件仍然存在。从整体意义和影响来看,LDB 地区的洪水既有积极影响,也有消极影响。本研究的分析结果可以用来识别洪水易发区,并指导洪水恢复力政策的制定,从而促进 LDB 洪泛区的可持续性。