scholarly journals Extreme rainfall trends over Chhattisgarh state of India

2021 ◽  
Vol 22 (2) ◽  
pp. 215-219
Author(s):  
HEMANT KUMAR SINHA ◽  
N. MANIKANDAN ◽  
J.L. CHAUDHARY ◽  
SAHDEV NAG
2018 ◽  
Vol 38 ◽  
pp. e998-e1015 ◽  
Author(s):  
Haline Heidinger ◽  
Leila Carvalho ◽  
Charles Jones ◽  
Adolfo Posadas ◽  
Roberto Quiroz

2017 ◽  
Vol 8 (3) ◽  
pp. 441-455 ◽  
Author(s):  
C. Jana ◽  
N. M. Alam ◽  
D. Mandal ◽  
M. Shamim ◽  
Rajesh Kaushal

Globally, climate change and extreme weather events are occurring more frequently, impacting water resources and farming systems. Therefore, spatio-temporal analysis of long-term rainfall is much needed to understand the variability of rainfall occurrence. The present study attempts to analyse spatio-temporal rainfall change scenarios in the 20th century (1901–2000) over Bundelkhand, one of the drought hit regions of India. Analysis shows that major rainfall contributed from 3 months, i.e. July, August and September. However, decreasing rainfall trend during monsoon season and increasing trend during pre-monsoon and post-monsoon season indicates the scenario of shifting rainfall from normal occurrence. This result is supported by decreasing seasonality index (SI) (1.94–1.1). The northern part of the region witnessed positive annual and monsoon rainfall trend but the southern part observed negative trend. Pettitt's test indicates 1983 is the most probable change year with 0.95 probability, after which annual and monsoon rainfall was found decreasing. Wavelet analysis revealed that extreme rainfall occurrence was observed with a periodicity of 2–16 years. However, Bundelkhand rainfall pattern depicts declining rainfall trends, heading towards a further drier phase with more irregular rainfall in the coming era. The study will serve as future reference in similar regions in the world to determine vital weather patterns which may impact farming systems.


Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 6931-6945 ◽  
Author(s):  
Vincenza Notaro ◽  
Lorena Liuzzo ◽  
Gabriele Freni ◽  
Goffredo La Loggia

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 964 ◽  
Author(s):  
Mansour Almazroui

The observed records of recent decades show increased economic damage associated with flash flooding in different regions of Saudi Arabia. An increase in extreme rainfall events may cause severe repercussions for the socio-economic sectors of the country. The present study investigated the observed rainfall trends and associated extremes over Saudi Arabia for the 42-year period of 1978–2019. It measured the contribution of extreme events to the total rainfall and calculated the changes to mean and extreme rainfall events over five different climate regions of Saudi Arabia. Rainfall indices were constructed by estimating the extreme characteristics associated with daily rainfall frequency and intensity. The analysis reveals that the annual rainfall is decreasing (5.89 mm decade−1, significant at the 90% level) over Saudi Arabia for the entire analysis period, while it increased in the most recent decade. On a monthly scale, the most significant increase (5.44 mm decade−1) is observed in November and the largest decrease (1.20 mm decade−1) in January. The frequency of intense rainfall events is increasing for the majority of stations over Saudi Arabia, while the frequency of weak events is decreasing. More extreme rainfall events are occurring in the northwest, east, and southwest regions of Saudi Arabia. A daily rainfall of ≥ 26 mm is identified as the threshold for an extreme event. It is found that the contribution of extreme events to the total rainfall amount varies from region to region and season to season. The most considerable contribution (up to 56%) is found in the southern region in June. Regionally, significant contribution comes from the coastal region, where extreme events contribute, on average, 47% of the total rainfall each month from October to February, with the largest (53%) in November. For the entire country, extreme rainfall contributes most (52%) in November and least (20%) in July, while contributions from different stations are in the 8–50% range of the total rainfall.


Sign in / Sign up

Export Citation Format

Share Document