Why are the builders and operators of dams and hydels in the Hindu Kush–Karakoram–Himalaya so poorly prepared for hydroclimatic hazards?

Srivastava, Pradeep, Lim, HanShe, and Wasson, Robert (2021) Why are the builders and operators of dams and hydels in the Hindu Kush–Karakoram–Himalaya so poorly prepared for hydroclimatic hazards? Current Science, 121 (12). pp. 1549-1552.

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Abstract

The large and apparently increasing magnitude of losses of lives and property due to hydroclimatic hazards in the Hindu Kush–Karakoram–Himalaya (HKH), exemplified by the recent February, 2021 Rishiganga and 2013 Kedarnath floods, shows that risk assessment and planning are inadequate. In the Anthropocene, where climate change is a real and present danger, the frequency of such events is likely to increase along with the damage. Based on our present understanding of the hydroclimatic risks in the HKH, we appeal for a more comprehensive plan for improving our understanding and monitoring. The scheme suggests expansion of mapping and assessment of the factors that contribute to risk. Further development of the archives of extreme events as one of the basis for risk assessment, developing real time monitoring of hazard elements such as the potential for lake outbursts and landslides is essential. Artificial intelligence (AI) should be employed to provide early warning. In India a taskforce of the earth scientists, hydrologists, historians and engineers (civil and AI) should be established to chart a course for the creation of this understanding and monitoring. Similar action may be taken up in other HKH countries.

Item ID: 71189
Item Type: Article (Commentary)
ISSN: 0011-3891
Keywords: Hindu Kush–Karakoram–Himalaya, hydroclimatic hazards, risk assessment, monitoring
Date Deposited: 09 Feb 2022 01:03
FoR Codes: 37 EARTH SCIENCES > 3709 Physical geography and environmental geoscience > 370903 Natural hazards @ 100%
SEO Codes: 19 ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS > 1904 Natural hazards > 190404 Hydrological hazards (e.g. avalanches and floods) @ 100%
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