Unravelling the causes of 2015 winter monsoon extreme rainfall and floods over Chennai: Influence of atmospheric variability and urbanization on the hydrological cycle

被引:6
|
作者
Konduru, Rakesh Teja [1 ,5 ]
Mrudula, G. [3 ]
Singh, Vivek [2 ,4 ]
Srivastava, Atul Kumar [2 ]
Singh, Abhay K. [4 ]
机构
[1] Tokyo Metropolitan Univ, Dept Geog, Hachioji, Tokyo 1920394, Japan
[2] Indian Inst Trop Meteorol, Minist Earth Sci, Delhi Branch, Prof Ramnath Vij Marg, New Delhi, India
[3] Natl Aerosp Labs, Ctr Electromagnet, Bangalore, India
[4] Banaras Hindu Univ, Dept Phys, Varanasi, India
[5] Tokyo Metropolitan Univ, Dept Geog, 1-1 Minami Osawa, Hachioji, Tokyo, Japan
关键词
Floods; Northeast monsoon; Natural variability; Kilometre-scale GloFAS; Probable maximum precipitation; Soil moisture; Urbanization; Hydrological cycle; MADDEN-JULIAN OSCILLATION; NORTHEAST MONSOON; KELVIN WAVES; EL-NINO; SOIL-MOISTURE; INDIAN-OCEAN; MODEL; PRECIPITATION; EVENTS; CONVECTION;
D O I
10.1016/j.uclim.2022.101395
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present study investigates the causes of extreme precipitation events over the coastal Chennai city in India during the winter monsoon season of 2015. Our investigation reveals that atmospheric and anthropogenic variability influenced the hydrological cycle in producing the Chennai floods. Atmospheric perspective linked the extreme rainfall to the natural variability over tropics in the form of convectively coupled equatorial waves (CCEWs). This finding is entirely new compared to Chennai floods' earlier attribution to Bay of Bengal warming and El Nino related easterly bursts. Along with the natural atmospheric variability, anthropogenic variability due to unprecedented urbanization multiplied the catastrophe scale. A prominent land cover change over the Chennai region was found in 2015 with respect to 1992 land cover and land use classification satellite dataset. A kilometre-scale regional climate simulation clearly demonstrated the urbanization impact on the extreme rainfall over Chennai. Also, we found unprecedented changes in hydrologic conditions like surface discharge of rivers in 2015 over the Adyar basin of Chennai using the Global Flood Awareness System simulated dataset. We revealed a daily mean surface discharge >1000 m 3 s - 1 of rivers at every 100 km 2 area over the Chennai city after the extreme rainfall events.
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页数:23
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