洪水真的在增加吗?以印度克里希纳河流域为例

Gaurav Pakhale, Rakesh Khosa, A.K. Gosain
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引用次数: 0

摘要

根据全球-区域气候模式的结果推断,人们对气候变化前景所带来的风险更加敏感。尽管对可变性作为气候的内在属性的认识有所缓和,但人们经常声称,洪水等大型水文极端事件的加剧确实正在成为一个新的迫在眉睫的现实。这适当地引起了人们对可能加剧的社会经济脆弱性的担忧。为了调查克里希纳河流域水文洪水事件是否真的在加剧的准确性,本研究利用现有的流量和降水记录以及已发表的报告和特色新闻文章,检查了克里希纳河流域(KRB)的历史洪水。本文采用的方法是基于在子系统尺度(K1 ~ K12)上对KRB洪水进行定量和定性分析。定量分析包括i)通过水文建模开发无规流量序列,ii)无规流量和降水的频率分析,iii)定义小、中、大洪水的阈值选择,iv)在观测的流量序列中识别洪水事件,v)识别因果降雨及其与洪峰的关系。定性分析侧重于发表的报道和新闻文章,试图对洪水的流量属性和伴随的损失进行多元表征。该研究的结论是,洪水事件加剧的假设对KRB的大多数子系统都是站不住脚的,除了K7(下克里希纳盆地)是唯一的例外,与之形成鲜明对比的是,洪水事件显示出缓和的迹象。有趣的是,除了K7之外,所有子系统在小洪水的情况下都可以看到类似诺亚和约瑟夫效应的循环模式。除了K12次盆地(Munneru盆地)外,在所有次级盆地的中、大洪水中也观察到具有不稳定诺亚和约瑟夫元素经典特征的非周期性、独立的极端事件。该研究证实,仅靠定性分析无法无可争议地确定洪水记录中的趋势特征,因为历史记录中的每一个事件都具有独特的多维足迹,这些足迹来自洪水特征、相关损失以及可感知的短期和长期影响。这项研究可以为确定洪水类型的变化提供指导,特别是在水文状况发生变化的流域,并有助于规划和制定改善洪水管理战略的政策,以及在必要时进行政策调整。
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Are flood events really increasing? A case study of Krishna River Basin, India

There is a heightened sensitivity about the risks posed by the prospect of climate change as deduced from the results of the global-regional climate models. Notwithstanding the moderating, albeit feebly articulated, acknowledgement of variability as being an intrinsic attribute of climate, it is often claimed that intensification of large hydrological extremes such as floods is indeed emerging as a new looming reality. This has aptly given rise to fears of prospective exacerbated socio-economic vulnerability. In an attempt to investigate the veracity of whether the hydrological flood events are really intensifying across the Krishna River Basin, the present study has examined the historical floods in Krishna River Basin (KRB) using available streamflow and precipitation records along with published reports and featured news articles. The approach followed is based on quantitative and qualitative analysis of floods in KRB at the subsystem scale (K1 to K12). The quantitative analysis involved i) Development of unregulated flow series through hydrological modelling, ii) Frequency analysis of unregulated flows and precipitation, iii) Threshold selection for defining the small, medium, and large floods, iv) Identification of flood events in observed streamflow series and v) Identification of causal rainfall and its relationship with flood peak. The qualitative analysis focused on published reports and news articles to attempt a multivariate characterization of flood flow attributes and the accompanying losses. The study concludes that the hypothesis that flood events are intensifying is untenable for most subsystems of KRB except K7 (Lower Krishna Basin) being the sole exception where, in sharp contrast, flood events show signs of moderation. Interestingly, cyclic patterns analogous to Noah and Joseph Effect are seen in the case of small floods for all the subsystems except K7. Non-recurrent, standalone extremes that bear the classical signature of Erratic Noah and Joseph elements have also been observed in medium and large floods in all the subsystems except the K12 subbasin (Munneru Basin). The study confirms that qualitative analysis alone cannot lead to an incontrovertible determination of trend like features in flood records as every event in the historical record bears a unique multi-dimensional footprint arising from a mix flood characteristics, associated losses and perceived short and long-term impacts. This study can provide a guideline to identify changes in flood typology especially in basins with altered hydrologic regimes and serve as an aid in planning and formulating policies for ameliorative flood management strategies as well as in policy restructuring when deemed to be necessary.

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