Changes of precipitation regime and its indices over Rajasthan state of India: impact of climate change scenarios experiments

Pradhan, Rajani Kumar; Sharma, Devesh; Panda, Subrat Kumar; Dubey, Swatantra Kumar; Sharma, Aditya

doi:10.1007/s00382-018-4334-9

Cited by 40 publications

(9 citation statements)

References 25 publications

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“…In recent decades, a large number of research works has been devoted to the investigation of ETCCDI indices in order to monitor the occurrence of climate extremes of temperature and precipitation (e.g. Alexander et al, 2019; Peterson et al, 2001; Pradhan et al, 2019; X. Zhang et al, 2011). In this work, we focused on precipitation indices computed from daily rainfall time series at both annual and seasonal scales.…”

Section: Methodsmentioning

confidence: 99%

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Capozzi,

Rocco,

Annella

et al. 2023

Meteorological Applications

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It is widely known that precipitation is a key variable of the hydrological cycle that is strongly affected by recent climate changes. Therefore, there is a growing interest in research activities focused on alteration of rainfall regime, as it conditions the planning of countermeasures against flood and landslide hazards. The available literature about precipitation tendencies over Italian peninsula offers a limited number of studies about recent changes of extreme events and precipitation intensity. This work aims at adding a contribution to fill this research gap, investigating the changes in rainfall regime observed over the 2002–2021 period in the Campania region (southern Italy). To pursue this aim, a dataset including daily precipitation records collected at 107 stations was analysed both through 11 indices developed by the Expert Team on Climate Change Detection and Indices and through the Standardized Precipitation Index in order to detect signals of changes in extreme events and to assess tendencies towards drier or wetter conditions. The Theil‐Sen method and the Mann–Kendall non‐parametric test were employed to evaluate the trends and their statistical significance. The main results emerging from this work are (i) an increasing tendency in precipitation intensity and in the frequency of occurrence of heavy rainfall events in autumn, mainly in the northern part of the region and in the mountainous areas, (ii) an upward trend of the duration of the longest wet spell in the coastal areas and (iii) an increasing trend of dry spells in spring and in summer in the Gulf of Salerno.

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Section: Methodsmentioning

confidence: 99%

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Capozzi,

Rocco,

Annella

et al. 2023

Meteorological Applications

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“…The high-resolution daily gridded (0.25°×0.25°) rainfall dataset of all over India region during 1970 to 2020 was obtained from the IMD, Pune (http://www.imdpu ne.gov.in/) (Srivastava et al 2009;Pradhan et al 2019). From this dataset, the daily time series for the 51 grid points over the basin have been extracted.…”

Section: Datamentioning

confidence: 99%

Regionalization and Trend Analysis of Seasonal Precipitation (1970 - 2020) using Hierarchical Clustering and Wavelet Transform Approach in the Mahi River Basin, India

Sharma

Sunder

2021

Preprint

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Understanding the trend in seasonal precipitation in the context of climate change is crucial for the maintenance of regional water resources management. The present study examines the seasonal precipitation trend in the Mahi River basin, India by using the wavelet transform and clustering method. Very limited studies have been carried out over the basin using this approach. Daily gridded rainfall data (0.25°×0.25° spatial resolution) for 51 grids from 1970 to 2020 has been taken from India Meteorological Department (IMD) and the time series trend was tested by Mann-Kendall. The monthly, seasonal, and annual statistic has been analyzed for 51 years. We have also plotted the relationship of precipitation trend–elevation. After that, homogeneous precipitation regions are delineated with hierarchical clustering analysis. Results reveal that seasonal precipitation over the basin clusters into 4 subregions for monsoon (JJAS1 to JJAS4) and 3 subregions for winter, pre-monsoon, and post-monsoon seasons. After the regionalization of the subregions, the periodicity and the inter-seasonal relationship were analyzed using continuous wavelet transform (CWT). Findings revealed that the cross-correlation between pre-monsoon and monsoon seasons highly affect significantly in past over the basin. Further, the regional geography-altitude and moisture convergence perform a major role in the variability of seasonal precipitation. The output of the current study would be utilized in a better understanding of precipitation forecast, watershed, and agricultural planning which may give a better climate change indication at a regional-basin level. We also suggest future needs to more focus on the understanding of elevation-dependent wetting in hilly regions using a different type of datasets.

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“…One of the horrific findings of this report is that 51.4 % of total mortality is attributable to younger people having age less than 70 years [7]. Most Indian cities suffer from various health issues caused by particulate matter [13]- [17]. Even India has the maximum number of cities on the top ranks in 100 most polluted cities globally as per the world air quality reports, 2018, 2019, and 2020 [11], [18], [19].…”

Section: Introductionmentioning

confidence: 95%

A Case Study on Human Health Risk Assessment Attributable to Particulate Matter at Kota Metropolis, Rajasthan (India)

Kuldeep¹,

Sisodiya²,

Mathur³

2022

ECS Trans.

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Kota, an Indian metropolis, has been experiencing high particulate matter pollution for the last few years. The primary aim of this study is to perform a human health risk assessment caused by particulate matter concentrations for Kota Metropolis. The annual PM2.5 and PM10 concentrations for Kota Metropolis were 52.63 and 106.86 µg/m3, respectively, indicating the violation of Indian NAAQS. The PM2.5 induced long-term ENACs for mortality due to all-natural causes in adults, LC, ALRI, COPD, IHD, and Stroke were 4624, 819, 258, 440, 1976, and 1791, respectively, while short-term ENACs for hospital admission due to respiratory disease, cardiovascular disease, and all-cause mortality in adults were 1288, 50, and 679, respectively. The PM10 induced long-term ENACs for postneonatal infant mortality, chronic bronchitis incidences (adults), and pervasiveness of bronchitis in kids were 317131, 13448, and 700, respectively. The study presents important conclusions to stakeholders and policymakers to implement suitable mitigation measures.

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Changes of precipitation regime and its indices over Rajasthan state of India: impact of climate change scenarios experiments

Cited by 40 publications

References 25 publications

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)

Regionalization and Trend Analysis of Seasonal Precipitation (1970 - 2020) using Hierarchical Clustering and Wavelet Transform Approach in the Mahi River Basin, India

A Case Study on Human Health Risk Assessment Attributable to Particulate Matter at Kota Metropolis, Rajasthan (India)

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