A CitSci Approach for Rapid Earthquake Intensity Mapping
A Case Study from Istanbul (Turkey)
Bibliographic Data
| ID | 22033729 |
|---|---|
| Authors | I Yalcin (0000-0002-4357-937X, Bursa Uludağ Üni̇versi̇tesi̇), Sultan Kocaman (0000-0002-2775-7914, Hacettepe University), Candan Gökçeoğlu (0000-0003-4762-9933, Hacettepe University, corresponding author) |
| Year | 2020 |
| Volume | 9 |
| Issue | 4 |
| Pages | 266 |
| Publication date | 2020-04-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9040266 |
| OpenAlex | W3016895639 |
| Language | EN |
| Citations received | 2 |
| References cited | 27 |
Nowadays several scientific disciplines utilize Citizen Science (CitSci) as a research approach. Natural hazard research and disaster management also benefit from CitSci since people can provide geodata and the relevant attributes using their mobile devices easily and rapidly during or after an event. An earthquake, depending on its intensity, is among the highly destructive natural hazards. Coordination efforts after a severe earthquake event are vital to minimize its harmful effects and timely in-situ data are crucial for this purpose. The aim of this study is to perform a CitSci pilot study to demonstrate the usability of data obtained by volunteers (citizens) for creating earthquake iso-intensity maps in a short time. The data were collected after a 5.8 Mw Istanbul earthquake which occurred on 26 September 2019. Through the mobile app “I felt the quake”, citizen observations regarding the earthquake intensity were collected from various locations. The intensity values in the app represent a revised form of the Mercalli intensity scale. The iso-intensity map was generated using a spatial kriging algorithm and compared with the one produced by The Disaster and Emergency Management Presidency (AFAD), Turkey, empirically. The results show that collecting the intensity information via trained users is a plausible method for producing such maps
Emergency management · Geography · Human–computer interaction · Mercalli intensity scale · Meteorology · Natural disaster · Natural hazard · Peak ground acceleration · Richter magnitude scale · Seismology · Usability · Anomaly Detection Techniques and Applications · Computer Science · Data-Driven Disease Surveillance · Environmental Science · Seismology and Earthquake Studies · Geology
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2023 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |