Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017

Nguyen Trong Quan; Dao Nguyen Khoi; Nguyen Xuan Hoan; Nguyen Ky Phung; Thanh Duc Dang

doi:10.1007/s13753-020-00311-9

Volume 12 Issue 1

Dec. 2021

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Nguyen Trong Quan, Dao Nguyen Khoi, Nguyen Xuan Hoan, Nguyen Ky Phung, Thanh Duc Dang. Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017[J]. International Journal of Disaster Risk Science, 2021, 12(1): 131-146. doi: 10.1007/s13753-020-00311-9

Citation:

Nguyen Trong Quan, Dao Nguyen Khoi, Nguyen Xuan Hoan, Nguyen Ky Phung, Thanh Duc Dang. Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017[J]. International Journal of Disaster Risk Science, 2021, 12(1): 131-146. doi: 10.1007/s13753-020-00311-9

Citation:

Nguyen Trong Quan, Dao Nguyen Khoi, Nguyen Xuan Hoan, Nguyen Ky Phung, Thanh Duc Dang. Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017[J]. International Journal of Disaster Risk Science, 2021, 12(1): 131-146. doi: 10.1007/s13753-020-00311-9

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Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017

doi: 10.1007/s13753-020-00311-9

1 Faculty of Environmental and Food Engineering, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam;
2 Faculty of Environment, University of Science, Ho Chi Minh City 700000, Vietnam;
3 Vietnam National University, Ho Chi Minh City 700000, Vietnam;
4 Ho Chi Minh City University of Food Industry, Ho Chi Minh City 700000, Vietnam;
5 Institute for Computational Science and Technology, Ho Chi Minh City 700000, Vietnam;
6 Engineering Systems and Design Pillar, Singapore University of Technology and Design, Tampines 487372, Singapore

Funds:

This study was supported by the Science and Technology Incubator Youth Program, managed by the Center for Science and Technology Development, Ho Chi Minh Communist Youth Union (Contract Number 17/2018/HĐ-KHCN-VƯ). It is also partly funded by Ho Chi Minh City’s Department of Science and Technology (HCMC-DOST) and Institute for Computational Science and Technology (ICST) (Grant Number 05/2019/HĐ-KHCNTT).

Available Online: 2021-12-25
Publish Date: 2021-12-25

Abstract

Abstract

In this study, the spatiotemporal variability of trends in extreme precipitation events in Ho Chi Minh City during the period 1980–2017 was analyzed based on several core extreme precipitation indices (Rx1day, Rx5day, CDD, CWD, R20mm, R25mm, R95p, and SDII). The nonparametric Mann–Kendall and Sen’s slope methods were used to compute the statistical strength, stability, and magnitude of trends in annual rainfall, as well as the extreme precipitation indices. We found that 64% of the stations had statistically significant upward trends in yearly rainfall, with high magnitudes frequently observed in the northern and southern regions of the city. For the extreme precipitation indices, only SDII and R25mm showed dominantly significant trends. Additionally, there were increasing trends in the frequency and duration at the southern and central regions of the city during the study period. Furthermore, El Niño-Southern Oscillation and Pacific Decadal Oscillation positively correlated with the duration and negatively correlated with the intensity and frequency of extreme precipitation. Thus, water management plans should be adjusted appropriately to reduce the severe impacts of precipitation extremes on communities and ecosystems.
- Spatiotemporal trend,
- Extreme precipitation,
- Extreme precipitation indices,
- Ho Chi Minh City

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References(61)

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