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It is largely modelled after the PAR model by Wisner et al., which is based on the premise that a disaster is the intersection of two opposing forces: processes generating vulnerability on one side, and the natural hazard event on the other.
The results for the PAR model suggest that the PAR could be estimated with an average level of confidence using global irradiance as a parameter.This suggests that the PAR values obtained from the analysis present a greater local dependency of climatic conditions and show marked differences.
The PAR model is referred to not only by scientists but also by practitioners, for example, in international organizations for humanitarian aid (IFRC 2006; GCDR 2012; UNOCHA 2013; Morchain and Kelsey 2016).
The PAR model provides one possible entry point into a holistic conceptualization of vulnerability and risk and offers the possibility to include economic and political processes at national and international levels into the analysis of vulnerability (Cannon and Müller-Mahn 2010).
Field observation and news reports regarding ongoing human suffering in Koyra Upazila identified repeated embankment failure, erosion, and inundation (Hossen 2016; New Age 2016; The Independent 2016) as major problems and convinced us to examine the Aila recovery from a context of vulnerability reduction as described by the PAR model.
Similar to our methodology for predicting the number of arrivals, this method utilized a seasonality adjusted PAR model, where the seasonality frequency of was determined empirically using the ACF and the order (p) of the PAR model was determined using the BIC.
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The Vulnerability assessment model presented in the present study retains the five original compartments in the generic PAR Model.
The theoretical assumptions of the frequently-cited PAR model (Wisner et al. 2004) define vulnerability as a product of unsafe conditions that originate from a problem's root causes.
Two slices of plate are added to the bottom of PAR model, which intended to act as a reflection wall and promote the gas flow into PAR.
We model daily arrival using the Poisson Autoregressive (PAR) model [ 10].
According to the Pressure and Release (PAR) model (Blaikie et al. 2014), the impact of a natural disaster can be seen as the intersection of two major forces: a natural hazard event and the processes generating vulnerability.
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