Pathways for advancing integrative disaster risk and resilience management in Iran: Needs, challenges and opportunities

Fekete, Alexander; Asadzadeh, Asad; Ghafory‐Ashtiany, Mohsen; Hosseini, Kambod Amini; Hetkämper, Chris; Moghadas, Mahsa; Ostadtaghizadeh, Abbas; Rohr, Adrian; Kötter, Theo

doi:10.1016/j.ijdrr.2020.101635

Cited by 26 publications

(17 citation statements)

References 29 publications

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“…However, urban growth started a bit later and is not as massive in scale as Karaj, for example. While the images reveal that Qazvin has doubled its built-up area between the years 1973 and 2005 ( Figure 6), the city of Karaj has expanded more than 10 times in a similar period [85]. No images close to the earthquake fault line could be acquired, and in Qazvin itself, no traces of earthquake damage could be detected (Figure 7).…”

Section: Earthquake and Flood Hazardmentioning

confidence: 99%

“…This area is notable since it is along with the Alborz mountain range with major fault lines close by. Cities in close distance of around 150 km such as Tehran and Karaj, have experienced massive urban growth since the 1970s [85], and the city of Qazvin also experienced great urban growth rates ( Figure 6). However, urban growth started a bit later and is not as massive in scale as Karaj, for example.…”

Section: Earthquake and Flood Hazardmentioning

confidence: 99%

“…Since more and more knowledge about natural hazards and related risks is produced [2] and also made public by many cities themselves [8], and more and more risk and planning maps publicly available [96], it could be expected that building into hazard-prone areas is avoided or at least, accompanied by respective building or management measures. This appears to remain a challenge even in areas with high national importance, such as megacities or national capitals, though [85]. This often is related to different responsibilities of administrations, or competing interests and the attraction of those properties still available in city centres close to the river of on the mountain ranges.…”

Section: Recommendable Aspects and Areas For Further Researchmentioning

confidence: 99%

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CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA

Fekete

2020

Remote Sensing

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Urban growth and natural hazard events are continuous trends and reliable monitoring is demanded by organisations such as the Intergovernmental Panel on Climate Change, the United Nations Office for Disaster Risk Reduction, or the United Nations Human Settlements Programme. CORONA is the program name of photoreconnaissance satellite imagery available from 1960 to 1984 provides an extension of monitoring ranges in comparison to later satellite data such as Landsat that are more widely used. Providing visual comparisons with aerial or high-resolution OrbView satellite imagery, this article demonstrates applications of CORONA images for change detection of urban growth and sprawl and natural hazard exposure. Cases from El Alto/ La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA are analysed. After a preassessment of over 20 disaster events, the 1970 Yungay earthquake-triggered debris avalanche and the natural hazard processes of the 1980 Mt St. Helens volcanic eruption are further analysed. Usability and limitations of CORONA data are analysed, including the availability of data depending on flight missions, cloud cover, spatial and temporal resolution, but also rather scarce documentation of natural hazards in the 1960s and 70s. Results include the identification of urban borders expanding into hazard-prone areas such as mountains, riverbeds or erosion channels. These are important areas for future research, making more usage of this valuable but little-used data source. The article addresses geographers, spatial planners, political decision makers and other scientific areas dealing with remote sensing.

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Section: Earthquake and Flood Hazardmentioning

confidence: 99%

Section: Earthquake and Flood Hazardmentioning

confidence: 99%

Section: Recommendable Aspects and Areas For Further Researchmentioning

confidence: 99%

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CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA

Fekete

2020

Remote Sensing

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“…In addition, there needs to be assistance from voluntary organizations and other communities that usually provide human resources to help restore the disaster-affected areas. These parties must become partners with the community to support post-disaster learning process (Fekete et al, 2020;Keating and Hanger-Kopp, 2020;Lightfoot, Lesen and Ferreira, 2020).…”

Section: Figure 3 Learning Process In Emergency Schoolsmentioning

confidence: 99%

Post-Disaster Learning Model: Design of Distance Learning Based on Local Wisdom Perspective

Warsihna¹,

Anwas²,

Anas³

et al. 2020

Proceedings of the 17th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2020)

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The occurrence of disasters in certain areas resulted in drastic changes in the lives of the affected communities. It also has an impact on learning process which may not work properly. Damage to learning infrastructure, loss of student interest and motivation, and limited human resources after a disaster may be the factors that determine how quickly the community can rise up and recover from this situation. This study aims to create an adaptive post-disaster learning model that can be used to maintain the learning process optimally. The study employed qualitative research method with a research and development model. Observation activities, semi-structured interviews, and focus group discussions were conducted on a group of respondents consistent with the characteristics of the study. The results show that the post-disaster learning model should focus on existing resources in evacuee camps (local wisdom). This learning model can be achieved through optimizing existing teaching materials in the affected areas or by carrying out social fun activities while maintaining the achievement of learner's competence in certain subjects. Thus, this study provides an initial framework for explaining a suitable learning model that can be used in disaster-stricken areas.

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“…Iran is frequently affected by natural hazards due to its geographical and geological conditions [20,21], as 31.7 percent of the country's territory is exposed to natural hazards, and 70 percent of its population are residing in vulnerable areas [21,22]. Sarpol-e Zahab city has been one of the most affected cities by natural disasters in Iran in recent decades.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Social Resilience against Natural Hazards through Multi-Criteria Decision Making in Geographical Setting: A Case Study of Sarpol-e Zahab, Iran

et al. 2022

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The aim of this study was to propose an approach for assessing the social resilience of citizens, using a locative multi-criteria decision-making (MCDM) model for an exemplary case study of Sarpol-e Zahab city, Iran. To do so, a set of 10 variables and 28 criteria affecting social resilience were used and their weights were measured using the Analytical Hierarchy Process, which was then inserted into the Weighted Linear Combination (WLC) model for mapping social resilience across our case study. Finally, the accuracy of the generated social resilience map, the correlation coefficient between the results of the WLC model and the accuracy level of the social resilience map were assessed, based on in-situ data collection after conducting a survey. The outcomes revealed that more than 60% of the study area falls into the low social resilience category, categorized as the most vulnerable areas. The correlation coefficient between the WLC model and the social resilience level was 79%, which proves the acceptability of our approach for mapping social resilience of citizens across cities vulnerable to diverse risks. The proposed methodological approach, which focuses on chosen data and presented discussions, borne from this study can be beneficial to a wide range of stakeholders and decision makers in prioritizing resources and efforts to benefit more vulnerable areas and inhabitants.

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Pathways for advancing integrative disaster risk and resilience management in Iran: Needs, challenges and opportunities

Cited by 26 publications

References 29 publications

CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA

CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA

Post-Disaster Learning Model: Design of Distance Learning Based on Local Wisdom Perspective

An Assessment of Social Resilience against Natural Hazards through Multi-Criteria Decision Making in Geographical Setting: A Case Study of Sarpol-e Zahab, Iran

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