Emergency Response During Disastrous Situation in Densely Populated Urban Areas: a GIS Based Approach

Hasnat, Md. Mehedi; Islam, Rakibul; Hadiuzzaman, Md.

doi:10.21163/gt_2018.132.06

Cited by 15 publications

(11 citation statements)

References 13 publications

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“…From a socio-economic perspective it is important to develop vulnerability models to wildfires. Further studies underline the need to find optimal ways of evacuating the population in cases of forest fires (Hasnat et al, 2018;Nicoară & Haidu, 2014). In addition, the study of burned areas with Remote sensing methods in other studies is complemented by meteorological indicators (Furtună & Holobâcă, 2013).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Burned Areas With Sentinel-2 Using Snap: The Case of Kineta and Mati, Greece, July 2018

Kovács¹

2019

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The aim of this paper is to compare the two largest forest fires that occurred in Greece in July 2018 using metrics for burned area and burn severity mapping, derived only from free satellite data. Sentinel-2 satellite images of the European Space Agency (ESA) within the Copernicus program provide a spatial resolution of 10 m, which facilitates more accurate monitoring of environmental phenomena such as forest fires. The processing of the satellite images and the calculation of the metrics was performed using SNAP software, which is an open-source software developed by ESA. The mapping of the obtained results was performed in the QGIS software, which is also an open-source software. The delimitation of the burned area and the classification of the severity of both wildfires was performed using the Relativized Burn Ratio (RBR) satellite index. These results were contrasted with the Copernicus Emergency Management Service (EMS) maps related to these two events. Our results obtained in relation to the size of the burned area show smaller affected areas than the Copernicus Emergency Management Service maps. This is explained by the different methods used in the delimitation of the burned areas. In the case of Mati's wildfire the EMS has created the thematic layer by means of visual interpretation using post-event satellite image and in the case of Kineta's wildfire was applied a semi-automatic approach. Moreover, in this study is proposed and evaluated a new burn severity metric, the burned vegetation index (BVI) which shows where the most significant changes in healthy vegetation occurred. This new index was compared with RBR, dNDVI and dNBR using statistical correlation. The results indicate that BVI shows better the burned vegetation and its statistical correlation with RBR is significant (R 2 = 0.92).

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Section: Resultsmentioning

confidence: 99%

Evaluation of Burned Areas With Sentinel-2 Using Snap: The Case of Kineta and Mati, Greece, July 2018

Kovács¹

2019

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“…depending on the particular area (see e.g. Hasnat, Islam & Hadiuzzaman, 2018). Through the summation of data layers of individual barriers it is possible to gain an integral layer of barriers to the access of the emergency units.…”

Section: Designation Of Soil Environmentmentioning

confidence: 99%

The Multiple Data and Geographic Knowledge Approach to a Liquid Toxic Road Accident Mitigation – The Two Blocks GIS Data Processing for an Operative Intervention

Kolejka¹,

Rapant²,

Zapletalová³

2019

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One of the current tasks of disaster management is to effectively counter toxic accidents on traffic communications. The paper demonstrates the procedure of the use of geographic data and knowledge with GIS technology for the operational mitigation of accident impacts on the traffic communication with leakage of toxic substance. A simulated leakage of toxic liquid substance on a highway in the Czech Republic was chosen as an example. The process is divided into two units. In the first preparatory block, data on soils and the geological environment are analysed and purpose oriented pre-processed. The data layer generally describes the expected movement of pollutants, e.g. predominant surface runoff, or predominant infiltration and/or a balanced combination of both of them. In the second operational unit, a location of the accident is precisely identified and the estimation of possible routes of pollutant runoff is performed with respect to the current status of the territory. Key points on these routes are identified with the aim to select mitigation measures and optimum access routes modelled for intervention techniques to reach key points in order to prevent contamination of water bodies.

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“…In Table 3, walking distance has been assumed 3.6 kilometers per hour or 60 meters per minute. (Hasnat, 2016). It has already been mentioned that 1300 people can take shelter in each cyclone shelter.…”

Section: Evacuation Route Analysismentioning

confidence: 99%

“…An early warning system also plays a valuable role in the evacuation of vulnerable people during the occurrence of the disasters along with minimizing the loss (Dhar & Ansary, 2012). The effective early warning system provided by the government in advance of Cyclone Sidr, Aila, Mohasen, Komen, Roanu, Mora in 2007, 2009, 2013, 2015, 2016 and 2017 enabled successful evacuation of coastal communities that resulted in fewer than expected deaths. Besides the early warning systems, different activities like construction of cyclone shelters, embankment, and timely evacuation have contributed to decreasing the death rates in the coastal areas (S. S. Ali, Rahman, & Chowdhury, 2012;U.…”

Section: Introductionmentioning

confidence: 99%

Cyclone Evacuation Route Identification Using GIS for Coastal Communities in Mirzaganj Union, Patuakhali, Bangladesh

Billah¹,

Sarker²,

Ansary³

2018

Preprint

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Evacuation is the primary and most important preparedness initiative to save people from the devastating effects of a cyclone. For proper evacuation, a route is specifically chosen that will play a role during cyclones. In this study, Geographic information system has been applied for evacuation route planning for Mirzaganj Union, Patuakhali, Bangladesh. The study is based on questionnaire surveys; direct observation and literature review on the existing sheltering system and develops an evacuation route using the shortest distance analysis. This study provides us an idea how we can manage our population to find out suitable nearby shelters and the limitations that we should focused on. The result shows that only 12% of the total population gets shelter opportunity with the existing official shelter capacity by identifying evacuation route with the shortest distance and the shortest time needed. Shortest distance and time have been calculated for each cyclone shelters. If we consider the low vulnerable infrastructures as shelter, 75% of the total population can be accommodated. This study demonstrates the utilization of an ideal evacuation route planning in the coastal parts of Bangladesh.

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Emergency Response During Disastrous Situation in Densely Populated Urban Areas: a GIS Based Approach

Cited by 15 publications

References 13 publications

Evaluation of Burned Areas With Sentinel-2 Using Snap: The Case of Kineta and Mati, Greece, July 2018

Evaluation of Burned Areas With Sentinel-2 Using Snap: The Case of Kineta and Mati, Greece, July 2018

The Multiple Data and Geographic Knowledge Approach to a Liquid Toxic Road Accident Mitigation – The Two Blocks GIS Data Processing for an Operative Intervention

Cyclone Evacuation Route Identification Using GIS for Coastal Communities in Mirzaganj Union, Patuakhali, Bangladesh

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