scholarly journals Nutrients Runoff from a Forested Catchment during an Extreme Storm Event: A Case Study of the Headwaters of the Shimanto River in the Western Part of Kochi Prefecture, Japan in July, 2011

2019 ◽  
Vol 42 (5) ◽  
pp. 219-229
Author(s):  
Yoshiki SHINOMIYA ◽  
Yuichi YOKOYAMA
Keyword(s):  
Storm Event ◽  
Forested Catchment ◽  
Extreme Storm ◽  
Kochi Prefecture

scholarly journals Quick Response Assessment of the Impact of an Extreme Storm Combining Aerial Drone and RTK GPS

2017 ◽  
Author(s):  
Arthur C. Trembanis ◽  
Enrico Duo ◽  
Stephanie Dohner ◽  
Edoardo Grottoli ◽  
Paolo Ciavola
Keyword(s):  
Warning System ◽  
Response Assessment ◽  
Storm Event ◽  
Quick Response ◽  
Aerial Photos ◽  
Extreme Storm ◽  
Rtk Gps ◽  
Commercial Off The Shelf ◽  
The Impact ◽  
Response Post

Abstract. Developing and implementing a quick response post-storm survey protocol has the potential to improve impact assessments of coastal storms. Pre- and post-event surveys are essential to properly quantify the storm impacts on the coast. In this study, a combination of traditional RTK GPS and Unmanned Aerial Vehicle drone platform was utilized as part of a coordinated storm response workflow. The comprehensive approach employed in this pilot case study was conducted on the Emilia-Romagna coast (Italy), in the immediate aftermath of an extreme storm event that impacted the shoreline on the 5th–6th February 2015 called the Saint Agatha Storm. The activities were supported by timing information on the approaching storm provided by the regional early warning system. We collected aerial photos from a commercial off-the-shelf drone immediately after the Saint Agatha Storm and generated both orthomosaic and digital elevation models utilizing structure-from-motion photogrammetry techniques. The drone- based survey approach allowed us to quickly survey an area of 0.25 km2 within a 10-minute flight resulting in a ground sampling distance of 2.5 cm/pixel. Flooding and erosion impacts are analyzed and presented for the target study area. Limitations and possible applications for coastal management of the quick response post-storm surveying protocol are highlighted.

scholarly journals Evacuation Decision-Making during Hurricane Matthew: An Assessment of the Effects of Social Connections

2017 ◽  
Vol 9 (4) ◽  
pp. 769-776 ◽  
Author(s):  
Jennifer Collins ◽  
Robin Ersing ◽  
Amy Polen
Keyword(s):  
Decision Making ◽  
Disaster Preparedness ◽  
Three Dimensions ◽  
Social Connections ◽  
Storm Event ◽  
Community Based ◽  
Memory Decay ◽  
Perceived Access ◽  
The Relationship

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.

scholarly journals Hail Swaths Observed from Satellite Data and Their Relation to Radar and Surface-Based Observations: A Case Study from Iowa in 2009

2012 ◽  
Vol 27 (3) ◽  
pp. 796-802 ◽  
Author(s):  
Kevin Gallo ◽  
Travis Smith ◽  
Karl Jungbluth ◽  
Philip Schumacher
Keyword(s):  
Satellite Data ◽  
Vegetation Index ◽  
Cross Validation ◽  
Radar Data ◽  
Initial Assessment ◽  
Storm Event ◽  
Hail Damage ◽  
Land Surfaces ◽  
Initial Results

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.

A Case Study of a Typical Dust Storm Event over the Loess Plateau of Northwest China

2011 ◽  
Vol 4 (6) ◽  
pp. 344-348 ◽  
Author(s):  
Ling Xiao-Lu ◽  
Guo Wei-Dong ◽  
Zhao Qian-Fei ◽  
Zhang Bei-Dou
Keyword(s):  
Loess Plateau ◽  
Dust Storm ◽  
Northwest China ◽  
Storm Event ◽  
The Loess Plateau ◽  
Dust Storm Event

scholarly journals RECOVERY OF SANDY BEACH AFTER TYPHOON WAVES - CASE STUDY ON CHIGASAKI COAST

2020 ◽  
pp. 42
Author(s):  
Toshinori Ishikawa ◽  
Takaaki Uda ◽  
Jun-ichi Hosokawa ◽  
Toshiro San-nami
Keyword(s):  
Sandy Beach ◽  
Sand Transport ◽  
Storm Event ◽  
Shore Protection ◽  
Wave Condition ◽  
Storm Waves ◽  
Wave Conditions ◽  
Typhoon Waves ◽  
Time Required

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

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