A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation

Manikanta, Velpuri; Ganguly, Titas; Umamahesh, N. V.

doi:10.1016/j.jhydrol.2022.128994

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…Therefore, one future research direction is exploring methods to decompose daily rainfall into hourly rainfall. This method that can retain the unique characteristics of daily cumulative and hourly rainfall, thereby more accurately assessing the aspects of extreme rainfall and its impact on NDVI [90,91]. Secondly, we will validate the applicability of different satellite and model precipitation products in the Sichuan Basin: TRMM (Tropical Rainfall Measuring Mission satellite), GPM (Global Precipitation Measurement satellite), CMORPH (CPC (Climate Prediction Center) MORPHing technique), etc., to provide more accurate data sources for precipitation research in this region.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Characteristics of Hourly-Scale Extreme Precipitation in the Sichuan Basin and Its Impact on Normalized Difference Vegetation Index Values

Xiang,

Li,

et al. 2023

Atmosphere

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This study harnesses ground observation data collected between 1980 and 2021 and ERA5 hourly data to thoroughly implement trend and correlation analysis techniques to explore the spatiotemporal dynamic characteristics of daily and hourly extreme precipitation in the Sichuan Basin. The investigation delineates these characteristics and probes into the potential triggers of extreme hourly rainstorms. The findings unveil the following: (1) A general increase in extreme rainfall volume, contribution rate, intensity, and dispersion, along with a decline in frequency and proportion of rainstorm areas, indicating the concentration of daily-scale severe rainstorms. The basin’s edge receives more precipitation than the bottom, exhibiting latitudinal variations. (2) The northernmost mountainous regions have less frequent, less intense rainstorms influenced by terrain, whereas the northeastern region experiences more frequent, dispersed rainstorms. (3) Extreme hourly rainstorms predominantly occur at night, with rainfall amount, intensity, and frequency declining at 21:00 compared to 19:00. (4) Summer experiences the highest risk of extreme rainstorms, with annual and monthly datasets displaying a rising trend in the frequency, dispersion, and intensity of intense hourly rainstorms. (5) Peak values of extreme hourly rainstorms are growing, with two distinct periods for their frequency: 1:00–9:00 and 10:00–24:00, with an increase in the former and a decrease in the latter. (6) Normalized difference vegetation index (NDVI) values ascend from southwest to northeast within the basin on a ten-day scale, correlating with the distribution of hourly extreme precipitation.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Characteristics of Hourly-Scale Extreme Precipitation in the Sichuan Basin and Its Impact on Normalized Difference Vegetation Index Values

Xiang,

Li,

et al. 2023

Atmosphere

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“…However, this study has some limitations for practical applications. Because the correlations between weights to all criteria can be very high, the CRITIC method can be used to generate reliable weights [74,75]. In addition, if flood damage data in the urban area exists, more techniques such as machine learning, neural networks, Bayesian networks, and deep learning algorithms can be used to improve the analysis and prediction of CFVs.…”

Section: Discussionmentioning

confidence: 99%

Quantifying Medium-Sized City Flood Vulnerability Due to Climate Change Using Multi-Criteria Decision-Making Techniques: Case of Republic of Korea

Kang,

Chae,

Chung

2023

Sustainability

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This study proposed a systematic approach to quantifying city flood vulnerability (CFV) related to climate change using several multi-criteria decision-making methods in medium-sized cities and investigated the sources of uncertainty in this assessment. In addition, this study was intended to explore ways for quantifying flood vulnerability and mitigating the impact of data uncertainty on flood vulnerability through multi-criteria decision-making (MCDM) methods. The MCDM method was applied as a representative method to quantify flood vulnerability, which considers regional priorities. This study used the weighted summation method, TOPSIS, and VIKOR to calculate all CFVs for medium-sized cities. Furthermore, fuzzy- and grey-TOPSIS were included to account for the uncertainty inherent in the MCDM methods, such as the usage of average values and varying weighting values for all CFV indicators across stakeholders. This study incorporated expert surveys and the entropy approach to derive subjective and objective weights for all conceivable indicators. As a result, we looked at the proposed grey-TOPSIS technique, which can minimize the uncertainty. Finally, grey-TOPSIS can notably provide robust and sustainable prioritizing since it actively reflects the views of multiple stakeholders and takes uncertainty in the data into account.

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“…A more complete understanding of sub‐daily intermittency would also contribute usefully to the development and evaluation of numerical methods for simulating rainfall arrival at high temporal resolution, using, for instance, statistical downscaling methods such as random cascade models (Onof et al, 2005; Molnar & Burlando, 2005; Connolly et al, 1998; Koutsoyiannis et al, 2003; Frost et al, 2004; Pui et al, 2012; McIntyre et al, 2016; Lombardo et al, 2017; Kossieris et al, 2018; Bohn et al, 2019; Brigandì & Aronica, 2019; Müller‐Thomy, 2020; Park et al, 2021; Manikanta et al, 2023). These procedures are also being applied to the generation of scenario data for future decades under climate change (Takhellambam et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Sub‐daily rainfall intermittency: Is it really stochastic? A test at two Australian locations

Dunkerley

2024

Intl Journal of Climatology

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Sub‐daily rainfall intermittency is virtually ubiquitous, with multiple periods of rain in a day being separated by temporary cessations. This phenomenon remains only partly explored. A significant question is whether the on–off sequence of rainfalls can be regarded as stochastic, as presumed in some common approaches to rainfall disaggregation, such as daily to hourly or hourly to sub‐hourly disaggregation, or whether there is an underlying sequence of rainfalls and cessations, related perhaps to other diurnal changes in rainfall. At two Australian locations, the timing of the longest cessation—whether it was the first, second, or a subsequent cessation on any day—was used to test this. Pluviograph data revealed up to 24 rainfall cessations per day. Analysis showed that the first cessation was in most cases the longest on a rainy day, and less often, this was the second, third, or subsequent cessation. Moreover, the decline in the mean duration of cessations was well‐fitted by a logarithmic function of their position in the daily series of cessations. In addition, both field sites exhibited evidence of diurnal cycles in amount, intensity, and frequency of rainfall, and also in the extent of intermittency in the form of intra‐day rainfall cessations. Whilst additional evidence is needed, it is hypothesised that these findings with respect to rainfall arrival may reflect a progressive and intermittent onset and decay of convection and moisture convergence, together with progressive changes in the scale of eddy turbulence, linked to the daily transitions in net radiation and local air buoyancy and uplift. The results suggest that wholly stochastic rainfall disaggregation procedures may be missing key aspects of diurnal rainfall behaviour. Exploration of these phenomena at additional locations seems warranted.

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A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation

Cited by 7 publications

References 40 publications

Spatiotemporal Characteristics of Hourly-Scale Extreme Precipitation in the Sichuan Basin and Its Impact on Normalized Difference Vegetation Index Values

Spatiotemporal Characteristics of Hourly-Scale Extreme Precipitation in the Sichuan Basin and Its Impact on Normalized Difference Vegetation Index Values

Quantifying Medium-Sized City Flood Vulnerability Due to Climate Change Using Multi-Criteria Decision-Making Techniques: Case of Republic of Korea

Sub‐daily rainfall intermittency: Is it really stochastic? A test at two Australian locations

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