I am working as a Visiting Research Fellow and Casual Research Assistant at the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS).
Al-Amin Hoque, M, Billah, MM & Pradhan, B 2019, 'Spatio-temporal and demographic distribution of lightning related casualties in northeastern part of Bangladesh', International Journal of Disaster Risk Reduction, vol. 38.View/Download from: Publisher's site
© 2019 Lightning is one of the frequent catastrophic hazards to people and properties across the world. Bangladesh is one of the major lightning prone countries in the world. Information regarding the spatial, temporal and demographic distribution of lightning casualties is required to develop mitigation policies to minimize the impacts of lightning. This study aims to analyse the spatial, temporal and demographic distribution of lightning-related casualties in the northeastern part of Bangladesh from 2016 to 2018. The database of lightning casualties was developed from a variety of sources including government and private agencies. Records dating from 2016 to 2018 indicate that about 78 and 60 people have been killed and injured, respectively by lightning strikes. The highest number of lightning fatalities were reported in the districts of Kishoreganj (31%), Habiganj (18%) and Sunamganj (15%). The overall fatality rate is 1.76 per million people per year, and fatality density rate is 0.00388 per million people km−2 year−1. The majority of fatalities and injuries occurred within the early morning 0800 and early evening 1700 at local time. The number of fatalities was higher in April–May during the pre-monsoon season. The maximum number of people died by lightning during farming activities, followed by fishing, boating or bathing in water bodies. The findings of the study are highly beneficial to the administrator and policymakers to develop lightning mitigation plans, improve public awareness and lightning safety campaign to reduce the impacts of lightning hazards.
Hoque, MAA, Pradhan, B, Ahmed, N & Roy, S 2019, 'Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh', Science of the Total Environment, vol. 692, pp. 10-22.View/Download from: Publisher's site
© 2019 Elsevier B.V. Tropical cyclones frequently affect millions of people, damaging properties, livelihoods and environments in the coastal region of Bangladesh. The intensity and extent of tropical cyclones and their impacts are likely to increase in the future due to climate change. The eastern coastal region of Bangladesh is one of the most cyclone-affected coastal regions. A comprehensive spatial assessment is therefore essential to produce a risk map by identifying the areas under high cyclone risks to support mitigation strategies. This study aims to develop a comprehensive tropical cyclone risk map using geospatial techniques and to quantify the degree of risk in the eastern coastal region of Bangladesh. In total, 14 spatial criteria under three risk components, namely, vulnerability and exposure, hazard, and mitigation capacity, were assessed. A spatial layer was created for each criterion, and weighting was conducted following the Analytical Hierarchy Process. The individual risk component maps were generated from their indices, and subsequently, the overall risk map was produced by integrating the indices through a weighted overlay approach. Results demonstrate that the very-high risk zone covered 9% of the study area, whereas the high-risk zone covered 27%. Specifically, the south-western (Sandwip and Sonagazi), western (Patiya, Kutubdia, Maheshkhali, Chakaria, Cox's Bazar and Chittagong Sadar) and south-western (Teknaf) regions of the study site are likely to be under a high risk of tropical cyclone impacts. Low and very-low hazard zones constitute 11% and 28% of the study area, respectively, and most of these areas are located inland. The results of this study can be used by the concerned authorities to develop and apply effective cyclone impact mitigation plans and strategies.
Hoque, MAA, Tasfia, S, Ahmed, N & Pradhan, B 2019, 'Assessing spatial flood vulnerability at kalapara upazila in Bangladesh using an analytic hierarchy process', Sensors (Switzerland), vol. 19, no. 6.View/Download from: UTS OPUS or Publisher's site
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Floods are common natural disasters worldwide, frequently causing loss of lives and huge economic and environmental damages. A spatial vulnerability mapping approach incorporating multi-criteria at the local scale is essential for deriving detailed vulnerability information for supporting flood mitigation strategies. This study developed a spatial multi-criteria-integrated approach of flood vulnerability mapping by using geospatial techniques at the local scale. The developed approach was applied on Kalapara Upazila in Bangladesh. This study incorporated 16 relevant criteria under three vulnerability components: physical vulnerability, social vulnerability and coping capacity. Criteria were converted into spatial layers, weighted and standardised to support the analytic hierarchy process. Individual vulnerability component maps were created using a weighted overlay technique, and then final vulnerability maps were produced from them. The spatial extents and levels of vulnerability were successfully identified from the produced maps. Results showed that the areas located within the eastern and south-western portions of the study area are highly vulnerable to floods due to low elevation, closeness to the active channel and more social components than other parts. However, with the integrated coping capacity, western and south-western parts are highly vulnerable because the eastern part demonstrated particularly high coping capacity compared with other parts. The approach provided was validated by qualitative judgement acquired from the field. The findings suggested the capability of this approach to assess the spatial vulnerability of flood effects in flood-affected areas for developing effective mitigation plans and strategies.
Hoque, MA-A, Phinn, S, Roelfsema, C & Childs, I 2018, 'Assessing tropical cyclone risks using geospatial techniques', APPLIED GEOGRAPHY, vol. 98, pp. 22-33.View/Download from: UTS OPUS or Publisher's site
Hoque, MA-A, Phinn, S, Roelfsema, C & Childs, I 2018, 'Modelling tropical cyclone risks for present and future climate change scenarios using geospatial techniques', International Journal of Digital Earth, vol. 11, no. 3, pp. 246-263.View/Download from: UTS OPUS or Publisher's site
Hoque, MA-A, Phinn, S & Roelfsema, C 2017, 'A systematic review of tropical cyclone disaster management research using remote sensing and spatial analysis', OCEAN & COASTAL MANAGEMENT, vol. 146, pp. 109-120.View/Download from: Publisher's site
Hoque, MA-A, Phinn, S, Roelfsema, C & Childs, I 2017, 'Tropical cyclone disaster management using remote sensing and spatial analysis: A review', INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, vol. 22, pp. 345-354.View/Download from: Publisher's site
Hoque, MA-A, Phinn, S, Roelfsema, C & Childs, I 2016, 'Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh', INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 37, no. 22, pp. 5320-5343.View/Download from: Publisher's site
Alamgir, M, Mukul, SA & Turton, SM 2015, 'Modelling spatial distribution of critically endangered Asian elephant and Hoolock gibbon in Bangladesh forest ecosystems under a changing climate', Applied Geography, vol. 60, pp. 10-19.View/Download from: Publisher's site
Hoque, MA-A, Saika, U, Sarder, BC & Biswas, KK 2013, 'Environmental and Socio-economic Impacts of Salinity Intrusion in the Coastal Area: A Case Study on Munshigong Union, Shymnagor, Satkhira', Jahangirnagar University Environmental Bulletin, vol. 2, pp. 41-49.View/Download from: Publisher's site
Jahangirnagar University Environmental Bulletin, Vol.2, 41-49, 2013 DOI: http://dx.doi.org/10.3329/jueb.v2i0.16329
Hoque, MA, Phinn, S, Roelfsema, C & Childs, I 2017, 'Modelling tropical cyclone hazards under climate change scenario using geospatial techniques', 2ND INTERNATIONAL CONFERENCE OF INDONESIAN SOCIETY FOR REMOTE SENSING (ICOIRS), 2nd International Conference of Indonesian-Society-for-Remote-Sensing (ICOIRS), IOP PUBLISHING LTD, Univ Gadjah Mada, Fac Geog, PUSPICS, Yogyakarta, INDONESIA.View/Download from: Publisher's site