Simulation of severe thunder storm event: a case study over Pune, India

2014 ◽  
Vol 72 (2) ◽  
pp. 927-943 ◽  
Author(s):  
S. Fadnavis ◽  
Medha Deshpande ◽  
Sachin D. Ghude ◽  
P. Ernest Raj
Keyword(s):  
2017 ◽  
Vol 9 (4) ◽  
pp. 769-776 ◽  
Author(s):  
Jennifer Collins ◽  
Robin Ersing ◽  
Amy Polen

Abstract This study conducted in Florida examines the relationship between an individual’s social connections and their decision to evacuate during a hurricane warning. Using Hurricane Matthew in 2016 as a case study, a survey was conducted on two groups (those who evacuated and those who did not), assessing one’s social connections considering three dimensions: dependability, density, and diversity. These factors, in addition to socioeconomic variables (e.g., age, race, education), were used to better define a picture for what influences evacuation decision-making. To avoid memory decay, the surveys were completed at the time of the evacuation for those who evacuated and immediately after the passage of Matthew for those who did not evacuate. It was concluded, through statistical analyses, that the perceived dependability of a person’s social connections (i.e., their perceived access to resources and support) played a significant role in the decision to evacuate or not, with non-evacuees having more dependable relationships and having a tightknit community they can rely on during a storm event. On the other hand, the density and diversity of peoples’ social connections did not significantly impact the decision to evacuate. This study has important implications for adding to the knowledge base on community-based sustainable disaster preparedness and resilience.


2012 ◽  
Vol 27 (3) ◽  
pp. 796-802 ◽  
Author(s):  
Kevin Gallo ◽  
Travis Smith ◽  
Karl Jungbluth ◽  
Philip Schumacher

Abstract Several storms produced extensive hail damage over Iowa on 9 August 2009. The hail associated with these supercells was observed with radar data, reported by surface observers, and the resulting hail swaths were identified within satellite data. This study includes an initial assessment of cross validation of several radar-derived products and surface observations with satellite data for this storm event. Satellite-derived vegetation index data appear to be a useful product for cross validation of surface-based reports and radar-derived products associated with severe hail damage events. Satellite imagery acquired after the storm event indicated that decreased vegetation index values corresponded to locations of surface reported damage. The areal extent of decreased vegetation index values also corresponded to the spatial extent of the storms as characterized by analysis of radar data. While additional analyses are required and encouraged, these initial results suggest that satellite data of vegetated land surfaces are useful for cross validation of surface and radar-based observations of hail swaths and associated severe weather.


2011 ◽  
Vol 4 (6) ◽  
pp. 344-348 ◽  
Author(s):  
Ling Xiao-Lu ◽  
Guo Wei-Dong ◽  
Zhao Qian-Fei ◽  
Zhang Bei-Dou

Author(s):  
Toshinori Ishikawa ◽  
Takaaki Uda ◽  
Jun-ichi Hosokawa ◽  
Toshiro San-nami

Beach topography quickly changes in response to the action of storm waves, resulting in erosion of the foreshore with accretion under a calm wave condition after a storm. These seasonal beach changes may occur on beaches with protective measures or artificial beaches produced by beach nourishment. On these beaches, the shore protection function of a sandy beach is reduced when a trough is formed immediately offshore of the shoreline and the foreshore slope increases, indicating the importance of the study on topographic changes. Moreover, the time required for a beach recovery in response to wave conditions has not been sufficiently studied, along with the 3-D topographic changes associated with beach cycles. In this study, we aim to investigate these issues using the Narrow Multi-Beam survey data, wave data, and seabed materials data, taking the Chigasaki coast as an example. It was found that a seabed shallower than 2 and 3 m depths was eroded by rapid offshore sand transport during a storm event with the deposition of sand in a zone between 3 and 5 m depths, and then the beach recovered within 1-2 years after the storm. It was also confirmed that a bar and trough disappeared in 1-2 months under the conditions of HE = 0.5 m, TE = 8 s, and H/L = 0.005 when the crown depth of the bar was smaller than approximately 2 m. Thus, the topography after the storm waves recovers within several months or 1-2 years depending on wave conditions and the crown depth of the bar.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/W_P_3p_xd8U


2013 ◽  
Vol 94 (4) ◽  
pp. 515-528 ◽  
Author(s):  
B. H. Alharbi ◽  
A. Maghrabi ◽  
N. Tapper

A case study is presented of the environmental background for a massive Saudi Arabian dust storm event that took place on 10 and 11 March 2009. The dust storm was large enough to be clearly seen from outer space and caused a widespread heavy atmospheric dust load, very low visibility, total airport shutdown, and damage to vehicles and trees across northern and central parts of Saudi Arabia. The precursor and supportive environment for this dust storm outbreak are investigated, drawing upon routine synoptic data and satellite imagery. Analytical evidence is offered to suggest that this dust storm was triggered and sustained by a cold front passage coincident with the propagation of a preexisting intense upperlevel jet streak. The major plume of the 10 March 2009 dust storm originated from several rich dust source areas extending across two regions—the Qasim region and the Adibdibah and As-Summan Plateau region. The intensity and frequency of dust storms triggered from these active areas of dust emissions seem to be dominated by a response to the amount of precipitation during November and December.


2012 ◽  
Vol 1 (33) ◽  
pp. 13
Author(s):  
Douglas Pender ◽  
Harshinie Karunarathna

This paper presents a new combined statistical-process based approach for modeling storm driven, cross-shore beach profile response. The approach discussed here involves combining detailed statistical modeling of offshore storm data and a process based morphodynamic model (XBeach), to assess the medium to long-term morphodynamic response of cross-shore beach profiles. Up until now the use of process-based models has been curtailed at the storm event timescale. This approach allows inclusion of the post-storm recovery, in addition to individual event impacts, thus allowing longer-term predictions. The calibration of XBeach for modeling, both, storm induced erosion and post- storm recovery, taking Narrabeen Beach, NSW, Australia as a case study; and the approach used to combine XBeach with the statistical framework to develop the approach are discussed.


2019 ◽  
Vol 7 ◽  
pp. 798-803
Author(s):  
Cristina Petrescu ◽  
Mihai Grecu ◽  
Silvia Barbu ◽  
Marius Craina

Objective: The aim of the performed study was to investigate the traumatic health effects in patients received at the emergency service due to a storm event that happened on the 17th of September 2017 in Timisoara. Material of study consisted of a sample of 75 patients (62.67% males, 37.33% females) who came to the emergency service of the County Hospital with traumatic health effects. The method was an observational case-study with an investigation of traumatic health effects. Results: Traumatic health effects due to the storm were caused by patients falling (51.78% of diagnostics: fractures, contusions, sprains) and by being hit by flying objects (42.85% of diagnostics: craniocerebral traumatisms and contusive wounds). The patients were either sent home (54.66%), admitted (25.34%) and hospitalized (13.33% more than 10 days) or transferred (12%).  Conclusion: Traumatic health effects due to the storm were severe and involved substantial recovery time and considerable expense of resources. 


Author(s):  
Ben de Sonneville ◽  
Tim Raaijmakers ◽  
Daniel Rudolph ◽  
Rupert Hunt ◽  
Klaas Rietema

Scour is an imminent threat for jack-up operations in shallow waters with sandy seabed conditions, strong tidal currents and/or a harsh wave climate, such as the North Sea. Jack-up operations in scour-sensitive areas require jack-up operators to evaluate the risk of scour and to adapt a scour management strategy in order to safeguard against foundation failure. Jack-up deployments are characteristically short term operations. This can be in the range of one day (construction project jack-ups) to several months (drilling units). Often, the strategy is to monitor scour and take remedial measures if and when required. An operational scour forecast and hindcast system was developed in order to assist jack-up operators with their management of scour. The system is based on automated importing and processing of metocean data (water levels, waves and currents) from operational metocean models or measurement stations and calculating forecasts for the temporal scour development with semi-empirical relations, derived from physical model tests for various types of foundations. During an operation, the results provide the basis for a periodic assessment whether, how much and where scour protection is required and when surveys should be performed. After an operation, the hindcast results serve as calibration for the scour prediction model and as evaluation of the scour management strategy. This paper presents two case studies for which the system was applied in the southern North Sea. In the first case study, the system was used to forecast scour around unprotected spudcans. A few weeks into the drilling operation, the operator decided to apply scour protection based on the warning that the predicted scour depth was reaching a critical value. A field survey performed after the scour protection installation confirmed that the predicted scour depth had been in line with the measured scour depth. The second case study comprised a drilling operation before which scour protection had been installed. The main objective of the system was to predict the stability of the scour protection and provide recommendations for scour protection maintenance and scheduling of scour inspection surveys. The field survey performed after the main storm event revealed that the predicted scour depth had been overestimated. A hindcast was performed to calibrate the scour model for future operations. It was concluded that the improved scour forecast system is an important milestone for scour management and contributes to improved safety in future jack-up operations.


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