True interval non-stationary Intensity-Duration-Frequency curves under changing climate and effect of temporal discretisation on rainfall extremes

被引:6
作者
Ghate, Aarti S.
Timbadiya, P. V. [1 ,2 ]
机构
[1] Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat 3950007, Gujarat, India
[2] Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat 395007, Gujarat, India
关键词
CHCF; Extreme rainfall; GEV; IDF curves; Non-stationary; Stationary; INDIAN-OCEAN DIPOLE; PEARL RIVER-BASIN; MONSOON RAINFALL; NON-STATIONARITY; TREND; PRECIPITATION; EVENTS; INFRASTRUCTURE; TEMPERATURE; ATTRIBUTION;
D O I
10.1016/j.jhydrol.2023.129136
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The extreme rainfall intensity-duration-frequency (IDF) curves are used to design stormwater infrastructure in the urban areas and need to be developed keeping in view of the warming climate. The current study develops the non-stationary IDF relationships for 11 class-I urban cities of India under changing climate. The total 11,528 generalized extreme value distribution (GEV) models are developed to quantify non-stationarity in extreme rainfall by introducing a clock hour correction factor (CHCF) as a covariate. The observed hourly rainfall data of the selected cities located in five different regions of India, namely the western region (Mumbai, Ahmedabad, Jaipur), northern region (New Delhi, Dehradun), north-eastern region (Imphal), eastern region (Bhubaneswar, Kolkata), and southern region (Madurai, Chennai, Bengaluru) are collected and converted in the fixed and sliding interval annual maximum rainfall series of eight different durations. The said data set is used in the computation of CHCF, evaluation of discretisation effect on extreme rainfall events, trend analysis, development of stationary and non-stationary IDF curves. The CHCF values of seven (two) cities are above (below) 1.15 respectively; the other two cities show a value similar to 1.15. The effect of temporal discretisation on the computation of extreme rainfall for 24-h (FW and SW) maximum rainfall depth was found to be highest in Bhubaneswar (50%) and Imphal (44%). The trend analysis revealed no statistically significant increasing (decreasing) trend in extreme rainfall for all durations for all cities under consideration except in the case of Bengaluru for 2-,3-, and 6-h durations (Chennai for a 48-h duration). The current study concluded that, under a non-stationarity climate, the shorter (1-h) and longer (24-h) duration extreme rainfall is influenced by local and global processes, respectively. Further, the short-duration extreme events are intensifying with the decrease in the return period. The 1-h duration non-stationary rainfall intensity for a 2-year return period and stationary rainfall intensity for a 5-year return period of 62.9 mm/h and 57 mm/h for Bengaluru, 77.7 mm/h and 77.2 mm/h for Mumbai, 60.8 mm/h and 60.7 mm/h for Ahmedabad, 47.8 mm/h and 49.4 mm/h for Jaipur, 59.8 mm/h and 59.3 mm/h for Madurai, 73.6 mm/h and 73 mm/h for Bhubaneswar, and 39.6 mm/h and 40.1 mm/h for Imphal, respectively. The ready-to-use IDF curves developed under stationary and non- stationary climate can be useful to design engineers in designing stormwater drainage systems in the selected class-I urban cities of India.
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页数:17
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