Extraction of Land Information, Future Landscape Changes and Seismic Hazard Assessment: A Case Study of Tabriz, Iran

Exact land cover inventory data should be extracted for future landscape prediction and seismic hazard assessment. This paper presents a comprehensive study towards the sustainable development of Tabriz City (NW Iran) including land cover change detection, future potential landscape, seismic hazard assessment and municipal performance evaluation. Landsat data using maximum likelihood (ML) and Markov chain algorithms were used to evaluate changes in land cover in the study area. The urbanization pattern taking place in the city was also studied via synthetic aperture radar (SAR) data of Sentinel-1 ground range detected (GRD) and single look complex (SLC). The age of buildings was extracted by using built-up areas of all classified maps. The logistic regression (LR) model was used for creating a seismic hazard assessment map. From the results, it can be concluded that the land cover (especially built-up areas) has seen considerable changes from 1989 to 2020. The overall accuracy (OA) values of the produced maps for the years 1989, 2005, 2011 and 2020 are 96%, 96%, 93% and 94%, respectively. The future potential landscape of the city showed that the land cover prediction by using the Markov chain model provided a promising finding. Four images of 1989, 2005, 2011 and 2020, were employed for built-up areas’ land information trends, from which it was indicated that most of the built-up areas had been constructed before 2011. The seismic hazard assessment map indicated that municipal zones of 1 and 9 were the least susceptible areas to an earthquake; conversely, municipal zones of 4, 6, 7 and 8 were located in the most susceptible regions to an earthquake in the future. More findings showed that municipal zones 1 and 4 demonstrated the best and worst performance among all zones, respectively.

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Some Contributions of the Neo-Deterministic Seismic Hazard Assessment Approach to Earthquake Risk Assessment for the City of Sofia

Pure and Applied Geophysics ◽

10.1007/s00024-010-0127-8 ◽

2010 ◽

Vol 168 (3-4) ◽

pp. 521-541 ◽

Cited By ~ 6

Author(s):

Ivanka Paskaleva ◽

Mihaela Kouteva-Guentcheva ◽

Franco Vaccari ◽

Giuliano F. Panza

Keyword(s):

Risk Assessment ◽

Seismic Hazard ◽

Hazard Assessment ◽

Seismic Hazard Assessment ◽

Earthquake Risk ◽

Assessment Approach ◽

Deterministic Seismic Hazard ◽

Earthquake Risk Assessment ◽

The City

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Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9020134 ◽

2020 ◽

Vol 9 (2) ◽

pp. 134 ◽

Cited By ~ 4

Author(s):

Biswajit Nath ◽

Zhihua Wang ◽

Yong Ge ◽

Kamrul Islam ◽

Ramesh P. Singh ◽

...

Keyword(s):

Land Use ◽

Land Cover ◽

Land Cover Change ◽

Analytical Hierarchy Process ◽

Temporal Variations ◽

The Future ◽

Belt And Road ◽

Future Potential ◽

Potential Landscape ◽

Hierarchy Process

Land use and land cover change (LULCC) has directly played an important role in the observed climate change. In this paper, we considered Dujiangyan City and its environs (DCEN) to study the future scenario in the years 2025, 2030, and 2040 based on the 2018 simulation results from 2007 and 2018 LULC maps. This study evaluates the spatial and temporal variations of future LULCC, including the future potential landscape risk (FPLR) area of the 2008 great (8.0 Mw) earthquake of south-west China. The Cellular automata–Markov chain (CA-Markov) model and multicriteria based analytical hierarchy process (MC-AHP) approach have been considered using the integration of remote sensing and GIS techniques. The analysis shows future LULC scenario in the years 2025, 2030, and 2040 along with the FPLR pattern. Based on the results of the future LULCC and FPLR scenarios, we have provided suggestions for the development in the close proximity of the fault lines for the future strong magnitude earthquakes. Our results suggest a better and safe planning approach in the Belt and Road Corridor (BRC) of China to control future Silk-Road Disaster, which will also be useful to urban planners for urban development in a safe and sustainable manner.

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Seismic hazard assessment of the city of Hamedan and its vicinity, west of Iran

Natural Hazards ◽

10.1007/s11069-012-0203-8 ◽

2012 ◽

Vol 63 (2) ◽

pp. 1025-1038 ◽

Cited By ~ 1

Author(s):

Mohammad Hossein Ghobadi ◽

Davood Fereidooni

Keyword(s):

Seismic Hazard ◽

Hazard Assessment ◽

Seismic Hazard Assessment ◽

The City

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The earthquake of 6 September 2002 and the seismic history of Palermo (Northern Sicily, Italy): Implications for the seismic hazard assessment of the city

Journal of Seismology ◽

10.1007/s10950-004-8930-2 ◽

2004 ◽

Vol 8 (4) ◽

pp. 525-543 ◽

Cited By ~ 16

Author(s):

R. Azzaro ◽

M. S. Barbano ◽

R. Camassi ◽

S. D’Amico ◽

A. Mostaccio ◽

...

Keyword(s):

Seismic Hazard ◽

Hazard Assessment ◽

Seismic Hazard Assessment ◽

History Of ◽

The City

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Seismic Hazard Assessment of the City of Khoy and Its Vicinity, NW of Iran

International Journal of Geotechnical Earthquake Engineering ◽

10.4018/ijgee.2015010102 ◽

2015 ◽

Vol 6 (1) ◽

pp. 15-27

Author(s):

Davood Fereidooni

Keyword(s):

Seismic Hazard ◽

Hazard Assessment ◽

Seismic Hazard Assessment ◽

Seismic Sources ◽

Occurrence Probability ◽

Hazard Parameters ◽

The City ◽

Seismic Hazard Parameters ◽

Earthquake Data

Analyses have been carried out considering the occurred earthquakes, geologic and seismotectonic conditions of the region covering a radius of 100 Km keeping Khoy as the center. The major seismic sources are small and large faults identified in the study area mostly directed in NW-SE. The MCE and PGA were measured based on both DSHA and PSHA approaches. The results of DSHA show that the MCE and PGA evaluated values are 6.8 Richter and 0.31g, which might be created by Chahar-Sotoon and Askar-Abad faults, respectively. The results of PSHA show that the MCE evaluated value is 6.1 Richter for a 0.64 probability in a 50- year period. Seismic hazard parameters have been evaluated considering the available earthquake data using Gutenberg-Richter relationship method. The ‘a' and ‘b' parameters were estimated 6.03 and 0.94, respectively. For earthquakes with magnitudes equal or greater than 6.1 Richter, the values of returning period (TR) and annual occurrence probability (PT) were obtained 112 and 0.009, respectively. The results obtained from two mentioned methods are matched to each other.

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