scholarly journals Vulnerability Characteristics of Tsunamis in Indonesia: Analysis of the Global Centre for Disaster Statistics Database

2018 ◽  
Vol 13 (6) ◽  
pp. 1039-1048 ◽  
Author(s):  
Anawat Suppasri ◽  
Abdul Muhari ◽  
Syamsidik ◽  
Ridwan Yunus ◽  
Kwanchai Pakoksung ◽  
...  
Keyword(s):  
Maximum Flow ◽  
Population Data ◽  
Data Availability ◽  
Mitigation Measures ◽  
Flow Depth ◽  
Tsunami Disaster ◽  
Exposed Population ◽  
Disaster Data ◽  
2011 Japan Tsunami ◽  
Tsunami Education

Regional disaster data are important for understanding the characteristics of disasters and for identifying potential mitigation measures. However, many countries have no official disaster database that includes information such as numbers of deaths or damaged buildings for each disaster event. The Global Centre for Disaster Statistics (GCDS) was established to assist countries and organizations in the collection of disaster data. At present, a significant amount of tsunami disaster data are available from Indonesia, which will be used to demonstrate its application for analyzing vulnerability characteristics of historical tsunamis. There are 53 data points covering 13 tsunami events between the year 1861 and 2014. Based on data availability, five tsunami events, namely the 1977 Sumba, the 2004 Indian Ocean, the 2006 Java, the 2010 Mentawai, and the 2011 Great East Japan, were selected. Numbers of deaths and damaged buildings were used in combination with hazard data to estimate vulnerability, defined as the ratio between maximum flow depth against death and building damage ratios. Numbers of evacuees were initially used to estimate actual numbers of exposed population but it was later discovered that this parameter overestimated the exposed population in certain cases. As a result, this study presents the vulnerability characteristics of people and buildings in Indonesia, exposed to unusual or extreme tsunamis, mostly in a condition without or with limited access to official warnings. In brief, a maximum flow depth of 5 m caused an approximate 100% death ratio in the majority of Indonesian tsunamis in this study. On the other hand, death ratio in the 2011 Japan tsunami was limited to 10% because of the early warning and high disaster awareness. Effective disaster risk reduction activities such as official warnings, evacuations, and tsunami education were observed for certain locations. Lastly, adding hazard and population data at the village level is recommended for improving the collection of future tsunami disaster data for the GCDS database.

Fire Risk Analysis Using Geospatial Approach and Mitigation Measures for South-West Delhi

2018 ◽  
Vol 6 (8) ◽  
pp. 131
Author(s):  
S. K. Tomar ◽  
A. Kaur ◽  
H. K. Dangi ◽  
T. Ghawana ◽  
K. Sarma
Keyword(s):  
Risk Analysis ◽  
Fire Risk ◽  
Population Data ◽  
Fire Service ◽  
Capital City ◽  
Mitigation Measures ◽  
Fire Risk Analysis ◽  
South West ◽  
Geospatial Tools ◽  
Fire Stations

One of the major challenge from unplanned growth in the cities is the fire incidents posing a serious threat to life and property. Delhi, the capital city of India, has seen unplanned growth of colonies resulting in a serious concern for the relevant agencies. This paper investigates the relation between potential causes of fire incidents during 2013-2016 in South-West Delhi Division of Delhi Fire Services as part of risk analysis using the data about fire stations & their jurisdictions, incidents of fire, water reservoirs available, landuse and population data along with the divisional & sub-divisional boundaries of South-West Delhi division under Delhi Fire Service. Statistical and Geospatial tools have been used together to perform the risk analysis. The analysis reveals that difference in actual occupancy and defined landuse as a part of unplanned growth of settlements is found to be the main reason behind the major fire incidents. The suggested mitigation measures focus on legal, policy, physical & technological aspects and highlight the need to bring the systemic changes with changing scenario of demographics and infrastructure to accommodate more aspects of ground reality.

Design and Evaluation of a Continuous Data Level Auditing System

2014 ◽  
Vol 33 (4) ◽  
pp. 221-245 ◽  
Author(s):  
Alexander Kogan ◽  
Michael G. Alles ◽  
Miklos A. Vasarhelyi ◽  
Jia Wu
Keyword(s):  
Business Processes ◽  
Population Data ◽  
Daily Basis ◽  
Data Availability ◽  
Continuous Data ◽  
Continuous Auditing ◽  
Major Health ◽  
Analytical Monitoring ◽  
Data Level ◽  
Unique Capability

SUMMARY: This study develops a framework for a continuous data level auditing system and uses a large sample of procurement data from a major health care provider to simulate an implementation of this framework. In this framework, the first layer monitors compliance with deterministic business process rules and the second layer consists of analytical monitoring of business processes. A distinction is made between exceptions identified by the first layer and anomalies identified by the second one. The unique capability of continuous auditing to investigate (and possibly remediate) the identified anomalies in “pseudo-real time” (e.g., on a daily basis) is simulated and evaluated. Overall, evidence is provided that continuous auditing of complete population data can lead to superior results, but only when audit practices change to reflect the new reality of data availability. Data Availability: The data are proprietary. Please contact the authors for details.

scholarly journals A Review of SWAT Model Application in Africa

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1313
Author(s):  
George Akoko ◽  
Tu Hoang Le ◽  
Takashi Gomi ◽  
Tasuku Kato
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Data Availability ◽  
Mitigation Measures ◽  
Model Parameterization ◽  
Basin Scale

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.

scholarly journals New tsunami damage functions developed in the framework of SCHEMA project: application to European-Mediterranean coasts

2011 ◽  
Vol 11 (10) ◽  
pp. 2835-2846 ◽  
Author(s):  
N. Valencia ◽  
A. Gardi ◽  
A. Gauraz ◽  
F. Leone ◽  
R. Guillande
Keyword(s):  
Fragility Curves ◽  
Construction Material ◽  
Maximum Flow ◽  
Indian Ocean Tsunami ◽  
Cumulative Probability ◽  
Flow Depth ◽  
Damage Functions ◽  
Damage Level ◽  
Tsunami Damage ◽  
Mediterranean Areas

Abstract. In the framework of the European SCenarios for tsunami Hazard-induced Emergencies MAnagement (SCHEMA) project (www.schemaproject.org), we empirically developed new tsunami damage functions to be used for quantifying the potential tsunami damage to buildings along European-Mediterranean coasts. Since no sufficient post-tsunami observations exist in the Mediterranean areas, we based our work on data collected by several authors in Banda Aceh (Indonesia) after the 2004 Indian Ocean tsunami. Obviously, special attention has been paid in focusing on Indonesian buildings which present similarities (in structure, construction material, number of storeys) with the building typologies typical of the European-Mediterranean areas. An important part of the work consisted in analyzing, merging, and interpolating the post-disaster observations published by three independent teams in order to obtain the spatial distribution of flow depths necessary to link the flow-depth hazard parameter to the damage level observed on buildings. Then we developed fragility curves (showing the cumulative probability to have, for each flow depth, a damage level equal-to or greater-than a given threshold) and damage curves (giving the expected damage level) for different classes of buildings. It appears that damage curves based on the weighted mean damage level and the maximum flow depth are the most appropriate for producing, under GIS, expected damage maps for different tsunami scenarios.

scholarly journals ANALYSIS OF TSUNAMI SCOUR AROUND SQUARE STRUCTURES USING A PUMP-DRIVEN FLOW METHOD

2020 ◽  
pp. 8
Author(s):  
Rafael Aranguiz ◽  
Oscar Link ◽  
Jose Aliaga ◽  
Oscar Briones ◽  
Ruben Alarcon ◽  
...  
Keyword(s):  
Solitary Waves ◽  
Laboratory Experiments ◽  
Maximum Flow ◽  
Sediment Deposition ◽  
Scour Depth ◽  
Flow Depth ◽  
Field Surveys ◽  
Flow Method ◽  
Tsunami Scour ◽  
Tsunami Event

Estimation of the maximum scour depth is important for defining the size and depth of building foundations in order to avoid failure during a tsunami event (Jayaratne, et al 2016). Traditionally, tsunami scour has been studied in laboratory experiments that use solitary waves. However, it has been demonstrated that this type of wave does not represent well a real tsunami (Madsen et al, 2008). In addition, results from field surveys are based on the scour depth after the tsunami event, studying only the maximum flow depth, and ignoring other hydrodynamic features such as velocity and wave period, as well as sediment deposition. The main objective of this research is to estimate maximum tsunami scour around rectangular structures as a function of realistic tsunami variables.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/ykb-JyL7lsE

scholarly journals Impact of a 1755-like tsunami in Huelva, Spain

2010 ◽  
Vol 10 (1) ◽  
pp. 139-148 ◽  
Author(s):  
V. V. Lima ◽  
J. M. Miranda ◽  
M. A. Baptista ◽  
J. Catalão ◽  
M. Gonzalez ◽  
...  
Keyword(s):  
Source Parameters ◽  
Critical Factor ◽  
Maximum Flow ◽  
High Energy ◽  
Tsunami Source ◽  
Flow Depth ◽  
Large Area ◽  
Inundation Extent ◽  
Run Up ◽  
The Impact

Abstract. Coastal areas are highly exposed to natural hazards associated with the sea. In all cases where there is historical evidence for devastating tsunamis, as is the case of the southern coasts of the Iberian Peninsula, there is a need for quantitative hazard tsunami assessment to support spatial planning. Also, local authorities must be able to act towards the population protection in a preemptive way, to inform "what to do" and "where to go" and in an alarm, to make people aware of the incoming danger. With this in mind, we investigated the inundation extent, run-up and water depths, of a 1755-like event on the region of Huelva, located on the Spanish southwestern coast, one of the regions that was affected in the past by several high energy events, as proved by historical documents and sedimentological data. Modelling was made with a slightly modified version of the COMCOT (Cornell Multi-grid Coupled Tsunami Model) code. Sensitivity tests were performed for a single source in order to understand the relevance and influence of the source parameters in the inundation extent and the fundamental impact parameters. We show that a 1755-like event will have a dramatic impact in a large area close to Huelva inundating an area between 82 and 92 km2 and reaching maximum run-up around 5 m. In this sense our results show that small variations on the characteristics of the tsunami source are not too significant for the impact assessment. We show that the maximum flow depth and the maximum run-up increase with the average slip on the source, while the strike of the fault is not a critical factor as Huelva is significantly far away from the potential sources identified up to now. We also show that the maximum flow depth within the inundated area is very dependent on the tidal level, while maximum run-up is less affected, as a consequence of the complex morphology of the area.

scholarly journals (A182) Model to Assess Geo-Temporal Spread of Disease by Air Travel from Major World Cities to the United States

2011 ◽  
Vol 26 (S1) ◽  
pp. s51-s51
Author(s):  
G.M. Hwang ◽  
T. Wilson
Keyword(s):  
Assessment Tool ◽  
Metropolitan Areas ◽  
Infected Individual ◽  
Population Data ◽  
The United States ◽  
Air Travel ◽  
Disease Spread ◽  
Mitigation Measures ◽  
The Us ◽  
Control And Prevention

With increasing numbers of international flights and air travelers arriving in the US annually, the rapid spread of communicable diseases has grown. Epidemics of novel infectious diseases have emerged and rapidly spread globally in association with air travel, including the severe acute respiratory syndrome (SARS) outbreak in 2003 and H1N1 in 2009. In order to anticipate and mitigate the consequences of future rapid disease spread, the MITRE Corporation, in collaboration with the (US) Centers for Disease Control and Prevention, developed a risk assessment tool using a Susceptible-Exposed-Infectious-Recovered model and detailed flight and population data. The emergence and spread of prototypic pandemic influenza was simulated based on a theoretical geographical point of origin and its communicability. More than 50 international metropolitan areas were analyzed as potential points of origin to simulate the rapidity of spread to the US. The basic reproduction number (Ro), defined as the average number of persons to whom one infected individual transmits disease in an immune naive population, was varied from 1.4 to 1.9. The starting numbers of infectious persons at each origin also were varied (100 or 500 persons, 5% infectious may travel). Waves were computed as aggregate across metropolitan areas modeled in the US. The visualization of the first pandemic wave was most apparent in simulations of Ro = 1.9, resulting from 500 infectious persons at each origin. More than 50% of origins indicated that aggregate waves peaked around Day 125, while 30% of origins peaked around Day 90. Additionally, the time, in days, from its origin in six continents into the US was compared, and a two-week delay was found from South America compared with other continents. This simulation tool better equips policy makers and public health officials to quickly assess risk and leverage resources efficiently via targeted and scalable border mitigation measures during a rapid global outbreak.

scholarly journals Models to assess the risk of introduction of selected animal viral diseases through the importation of live animals as a key part of risk analysis

2021 ◽  
Vol 65 (4) ◽  
pp. 383-389
Author(s):  
Anna Gierak ◽  
Krzysztof Śmietanka
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Country Of Origin ◽  
Viral Disease ◽  
Data Availability ◽  
Mitigation Measures ◽  
Economic Losses ◽  
Viral Diseases ◽  
Analysis Process ◽  
Silent Phase

Abstract Introduction of an animal viral disease, especially a notifiable disease, into an importing country or region free from the disease may lead to serious epidemiological consequences and economic losses. Trade in live animals is historically considered one of the most important risk pathways. To estimate the magnitude of such risk, the likelihood of a virus’ entry into a country and the consequences of this event should be jointly evaluated. Depending on data availability, the urgency of the problem and the detail level of the objectives, a risk assessment may be conducted in a qualitative, semi-quantitative or quantitative way. The purpose of this review was firstly to provide a brief description of each step of the risk analysis process, with particular emphasis on the risk assessment component, and subsequently to supply examples of different approaches to the assessment of the risk of the introduction of selected animal viral diseases. Based on the reviewed models, the overall likelihood of introduction of particular diseases was generally estimated as low. The output risk value was strongly dependent on the duration of the silent phase of the epidemic in the country of origin. Other parameters with some bearing upon the risk derived from the epidemiological situation in the country of origin and the biosecurity or mitigation measures implemented in the country of destination. The investigated models are universal tools for conducting assessment of the risk of introduction of various animal diseases to any country. Their application may lead to timely implementation of appropriate measures for the prevention of the spread of a disease to another country or region.

Froude characterization for unsteady single-surge dry granular flows: impact pressure and runup height

2019 ◽  
Vol 56 (12) ◽  
pp. 1968-1978 ◽  
Author(s):  
C.W.W. Ng ◽  
C.E. Choi ◽  
G.R. Goodwin
Keyword(s):  
Impact Load ◽  
Granular Flows ◽  
Maximum Flow ◽  
Impact Pressure ◽  
Flow Depth ◽  
Rigid Barrier ◽  
Runup Height ◽  
The Impact ◽  
Dem Model

The impact and pileup mechanisms of unsteady granular flows impacting a rigid barrier are governed by the Froude conditions (Fr). Velocity and depth vary along the length of the flow. There is currently no widely accepted approach for characterizing Fr for impact and runup problems. In this study, a discrete element method (DEM) model was calibrated against a physical flume test. Eighty-six simulations were performed using the DEM model to investigate the equivalent Fr governing pileup height and impact pressure for unsteady single-surge dry granular flows against a rigid barrier. Fr and the grain diameter were varied. Results reveal that Fr within the frontmost 5% of a flow governs both pileup height and impact pressure. Thus, taking frontal velocity and maximum flow depth within the frontmost region is crucial for properly characterizing the runup height and impact load. Consistent characterization of Fr is possible near the longitudinal centre of a flow; the frontmost Fr can then be extrapolated from calibration curves. Results imply that existing studies that predict impact pressure based on nonfrontal Fr values may underestimate impact pressure by a factor of up to 2.

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