Storage to be Provided in Impounding Municipal Water Supply

Hazen, Allen

doi:10.1061/taceat.0002563

Cited by 208 publications

(64 citation statements)

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“…Thus, a zero value means that a paper has not been bookmarked by a Mendeley user. Based on the Mendeley user data, the formula derived by Hazen (1914) ((i − 0.5)/n*100) was used for calculating percentiles separately for each publication year and subject area (ASJC) combination. For papers without valid DOI and papers that could not be retrieved from the Mendeley API, we assigned a randomly chosen percentile value.…”

Section: Mendeley Data and Indicatorsmentioning

confidence: 99%

Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores

et al. 2021

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In over five years, Bornmann, Stefaner, de Moya Anegon, and Mutz (2014b) and Bornmann, Stefaner, de Moya Anegón, and Mutz (2014c, 2015) have published several releases of the www.excellencemapping.net tool revealing (clusters of) excellent institutions worldwide based on citation data. With the new release, a completely revised tool has been published. It is not only based on citation data (bibliometrics), but also Mendeley data (altmetrics). Thus, the institutional impact measurement of the tool has been expanded by focusing on additional status groups besides researchers such as students and librarians. Furthermore, the visualization of the data has been completely updated by improving the operability for the user and including new features such as institutional profile pages. In this paper, we describe the datasets for the current excellencemapping.net tool and the indicators applied. Furthermore, the underlying statistics for the tool and the use of the web application are explained.

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Section: Mendeley Data and Indicatorsmentioning

confidence: 99%

Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores

et al. 2021

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“…Probability plot is constructed log-stress versus zi=F -1 (pi) that is inverse function of cumulative distribution function. P i is called as plotting position and most used explanation proposed by Hazen [30] as follows:…”

Section: Fatigue Reliability Analysismentioning

confidence: 99%

Determining the endurance limit of AISI 4340 steels in terms of different statistical approaches

Çalışkan

Gurbuz

2021

Frattura Ed Integrità Strutturale

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In engineering applications, fatigue phenomenon is a key issue and needs to be analyzed in the beginning of design phase in case of any component exposed to alternating loading on operation otherwise catastrophic fatigue failure may cause. Component can be designed with safe-life, fail-safe, and damage tolerant approach based on whether redundant load path and damage sensitive. Before starting analyzing the structure, material allowable data needs to be presented in a reliable way to predict fatigue life of components. SN curves with presented confidence levels are the robust approach to make a prediction on safe life of a structure in terms of fatigue. In this point, there are so many approaches to determine fatigue limit of materials and issue shall be handled by statistical manner. In literature, different staircase and curve fitting methods were presented to estimate endurance limit of materials and some reliability manuscript published. In this paper, fatigue limit of AISI 4340 steel will be investigated through most convinced staircase and curve fitting approaches and their reliability will be queried.

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“…Depending on the nature and behaviour of the data, many authors have proposed new and modified existing probability plotting formulas (e.g. Allen, 1914;Weibull, 1939;Beard, 1951;Blom, 1958;Tukey, 1962;Gringorten, 1963;Cunnane, 1978;Hazen, 1913;Fothergill, 1990;Lund et al, 1995). To date, there are more than 15 probability plotting formulas.…”

Section: List Proponent (Authors) Expressionmentioning

confidence: 99%

“…The behaviour of data can be captured by using more advanced and appropriate probability distributions, rather than relying only on a gamma distribution (Stagge et al, 2015). Equivalent to this, the compatibility of various plotting position formulas, such as those of Hazen (1913), Cunnane (1978), Beard (1951), Blom (1958), andTukey (1962), with various probability distributions has great importance in the accurate propagation of uncertainty. For instance, several authors have suggested the deployment of various probability-plotting formulas for a specified probability distribution using correlation (Looney and Gulledge, 1985;Vogel, 1986;Mehdi and Mehdi, 2011;Shukri Yah et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

On the more generalized non‐parametric framework for the propagation of uncertainty in drought monitoring

Ali

Hussain

Faisal

et al. 2020

Meteorological Applications

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Drought has a complex climatic and spatio-temporal feature. Therefore, its accurate monitoring is a great challenge for hydrological research. Recently, the use of standardized drought indices (SDIs) for drought monitoring is common in practice. However, because of the subjective choices of probability distribution, the uncertainty related to extreme events always exists in SDIsbased drought-monitoring tools. The present research extends the generalized non-parametric framework for drought monitoring. The application of the proposed framework is based on seven meteorological stations in Pakistan.The preliminary analysis considered the standardized precipitation temperature index (SPTI) at different time scales. The significance of the proposed framework is to address extreme values with more accuracy under a nonparametric framework. It is concluded that the suitable choice of probabilityplotting-position formulas allows greater accuracy when capturing the probability of extreme drought events.

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Storage to be Provided in Impounding Municipal Water Supply

Cited by 208 publications

References 0 publications

Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores

Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores

Determining the endurance limit of AISI 4340 steels in terms of different statistical approaches

On the more generalized non‐parametric framework for the propagation of uncertainty in drought monitoring

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