Probabilistic seismic hazard analysis for the city of Quetta, Pakistan

Rehman, Shafiq Ur; Lindholm, Conrad; Ahmed, Najeeb; Rafi, Zahid

doi:10.2478/s11600-013-0186-1

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Halverson 2010; Bilham, 2019). Five major earthquakes with the range of 6.5 to 8.0 magnitudes occurred with potential human and economic losses from 1900 to 2008 (Rehman et al, 2014b). The 2019, Mirpore earthquake raised many questions for policymakers and local administration, where, almost all the infrastructures including housing, roads, over ies and water reservoirs were completely collapsed.…”

Section: Seismic Hazards and Pakistanmentioning

confidence: 99%

“…A natural hazard only becomes a disaster when it affects the exposed and vulnerable population and infrastructures (Adger, 2006). Natural hazards like earthquakes, droughts and hurricanes are unpreventable, but their damaging impacts can be mitigated and minimized through proper planning and implementation (Rehman et al, 2014a). Earthquakes are the most lethal type of natural disasters amongst all others especially in urban area due to its unpredictable nature (Ainuddin and Routray 2012;Bilham 2019;Aldrich, 2019).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Earthquake Risk Assesment of Urban Quetta, using Multi-criteria Anlaysis

Syed,

Suriyachan,

Aruninta

et al. 2024

Preprint

View full text Add to dashboard Cite

The capital of Balochistan province Quetta is surrounded by mountain ranges with many active seismic faults. The province is subjected to many earthquakes in the past including the deadliest earthquake of 1935. The objective of this paper is to carry out earthquake risk assessment of Quetta city using multi-criteria analysis. For the purpose, the primary data was collected from 400 households using stratified random sampling technique with proportionate allocation and secondary data from USGS and Pakistan Bureau of Statistics. SPSS, GIS and Arc-GIS were used to generate the vulnerability, hazard and risk maps applying analytical hierarchy process (AHP) and weighted linear combination (WLC) methods. The results reveal that Quetta is highly vulnerable to earthquake risk in the future; its geology coupled with the human dimension indicates indicate that impacts would be more disastrous in future events. Results of the final earthquake risk map shows that five out of thirteen Zones (Hazargunji, Quetta East, Kharot Abad, Samungli, and Quetta North) are at high risk. Four Zones (Centrum of Quetta, Pashtoon Abad, Saryab, and Hazara Town) are at medium risk. Only three Zones (Quetta Cantt, Satellite Town, and Jinnah Town) are at low risk. The proposed risk map of Quetta city may be used for risk communication, decision making, land use planning and development of critical infrastructure. The paper further recommends the map to be utilized as guide for emergency response systems, and develop mitigation plans including enforcement of building codes, improve emergency response activates and educate people on earthquake preparedness.

show abstract

Section: Seismic Hazards and Pakistanmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Earthquake Risk Assesment of Urban Quetta, using Multi-criteria Anlaysis

Syed,

Suriyachan,

Aruninta

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The northern districts of the areas for example Sudhnoti, Poonch, Bagh, Hattian, Muzaffarabad and Neelum are generally mountainous while the southern districts include Bhimber, Mirpur and Kotli are relatively plain (Government of AJK 2019). The average rainfall ranges from 1000 mm to 2000 mm while the area has an average maximum temperature ranging from 20° C to 32° C and 04° C to 07° C minimum (Pak-met, 2018;Rehman et al 2012). The mountainous avalanches, permafrost, glacial lakes and snowfall are the sources of water in the area (Cochard and Dar 2014;Pak-Met 2015).…”

Section: Study Areamentioning

confidence: 99%

Ethnomedicinal utilization and conservation status of highland flora from Western Himalayas of Azad Jammu and Kashmir, Pakistan

Awan,

Dar,

Hussain

et al. 2023

Ethnobot. Res. App.

View full text Add to dashboard Cite

Background: Ethnobotany is an interdisciplinary field that investigates the intricate relationship between plants and humans. The study was aimed to investigate the ethnomedicinal utilization and assessment of the conservation status of highland flora in the western Himalayan region of Azad Jammu & Kashmir, Pakistan. Methods:The study was conducted from May to September during the years 2018 to 2020 in the blooming season of subalpine and alpine lacustrine wetlands-associated flora. Information was collected from local farmers, herb vendor and herbalist/ hakims for various usage and remedies. During the fieldwork, 80 respondents (50 male and 30 female) of different age groups were selected and personal observations were also recorded. Plants that have been recorded are given together with their indication, portion used, preparation method, and use value (UV). The informant consensus factor (ICF) and fidelity level (FL) of the plants based on their utilization in relation to different disease categories were also determined through analysis of the results. Results:The current study has documented 47 medicinal plant species from 25 families used for the treatment of 25 different major and minor illnesses and conditions. The rhizome (22%), roots (18%) followed by leaves and whole plants (17%) were the most favored plants parts amongst the species. The highest RFC was recorded for Aconitum chasmanthum (0.61%) while Iris hookeriana and Persicaria alpina has the lowest (0.03%). The maximum used value was reported for Thymus linearis (0.63) and minimum for Iris hookeriana that is (0.01). The highest FL value was found in Thymus linearis (73.75%) and lowest was observed for Lindelofia longiflora (1.25%). The highest IAR value (1.00) against gout, tuberculosis and tonic while lowest value is 0.20 for kidney diseases. The most frequently used plant component was rhizome, and powder was found to be the primary method of preparation. Preparations are often either ingested or used topically. The conservation status showed that 57% species are vulnerable, 19% endangered, 13% critically endangered and 11% are threatened. Conclusion:This study contributes to the understanding of plant resource utilization patterns and the conservation status of high land flora in the western Himalaya region. The findings underscore the importance of implanting effective conservation measures to ensure the sustainable use of plant resources and the preservation of biodiversity in Azad Jammu & Kashmir, Pakistan.

show abstract

“…Pakistan is also located in a highly active earthquake belt where many devastating earthquakes have jolted the region in the past. Some of the disastrous earthquakes include the 1945 Makran earthquake (Magnitude >8.0), the 1931 Mach earthquake (Magnitude = 7.3), the 1935 Quetta earthquake (Magnitude = 7.4), the 1974 Pathan earthquake (Magnitude = 6.0), and the 2005 Muzaffarabad earthquake (Magnitude = 7.6) [ 5 – 7 ]. In Pakistan, the poor infrastructure design and construction have caused dead consequences, especially the collapse of school buildings in the 2005 earthquake which has caused the death of 19,000 students and hugely affected the economy of the country [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Fragility Assessment of Reinforced Concrete Buildings

Rasheed¹,

Usman

Zain

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In the past, large earthquakes caused the collapse of infrastructure and killed thousands of people in Pakistan, a seismically active region. Therefore, the seismic assessment of infrastructure is a dire need that can be done using the fragility analysis. This study focuses on the fragility analysis of school buildings in Muzaffarabad district, seismic zone-4 of Pakistan. Fragility curves were developed using incremental dynamic analysis (IDA); however, the numerical analysis is computationally time-consuming and expensive. Therefore, soft computing techniques such as Artificial Neural Network (ANN) and Gene Expression Programming (GEP) were employed as alternative methods to establish the fragility curves for the prediction of seismic performance. The optimized ANN model [5-25-1] was used. The feedforward backpropagation network was considered in this study. To achieve a reliable model, 70% of the data was selected for training and 15% for validation and 15% of data was used for testing the model. Similarly, the GEP model was also employed to predict the fragility curves. The results of both ANN and GEP were compared based on the coefficient of determination, R2. The ANN model accurately predicts the global drift values with R2 equal to 0.938 compared to the GEP model having R2 equal to 0.87.

show abstract

Probabilistic seismic hazard analysis for the city of Quetta, Pakistan

Cited by 7 publications

References 13 publications

Earthquake Risk Assesment of Urban Quetta, using Multi-criteria Anlaysis

Earthquake Risk Assesment of Urban Quetta, using Multi-criteria Anlaysis

Ethnomedicinal utilization and conservation status of highland flora from Western Himalayas of Azad Jammu and Kashmir, Pakistan

Machine Learning-Based Fragility Assessment of Reinforced Concrete Buildings

Contact Info

Product

Resources

About