Skip to main content

Hydro-Meteorological Risk Emergency Planning and Management Using Big Data as a Platform

  • Chapter
  • First Online:
Climate Change Strategies: Handling the Challenges of Adapting to a Changing Climate

Abstract

Climate change and extreme events are becoming more common worldwide, and developing countries are especially vulnerable due to insufficient mitigation and preparedness capabilities. It goes without saying that employing big data is the right approach for successful retrieval of disaster data as well as its analysis, management, and dissemination in climate risk emergency planning and management. This review will investigate how big data can be used as a recent data management technology for climate risk emergency planning and management. An intimate assessment of the literature shows that there are methodical reviews on big data applications in emergency management. This study holds that emergency events are far from being predictable and as such, they are bound to bring havoc and destruction. Emergency management is managing public emergencies using different methods like big data. Big data technologies can address issues related to storage, analysis, accessibility, and distribution to generate and present data analysis useful for practical purposes. The findings of this review show that using big data in various emergency management applications will enable policymakers and other stakeholders to make appropriate and correct decisions during the emergency management process which benefits if responses are optimized for quality prediction analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Akerkar R (2018) Processing big data for emergency management. In: Smart technologies for emergency response and disaster management. IGI Global, pp 144–166

    Google Scholar 

  • Akerkar R (ed) (2020) Big data in emergency management: exploitation techniques for social and mobile data. Springer Nature

    Google Scholar 

  • Akerkar R, Hong M (2020) Introduction to emergency management. Big Data in emergency management: exploitation techniques for social and mobile data. Springer, Cham, pp 1–14

    Chapter  Google Scholar 

  • Akter S, Wamba SF (2019) Big data and disaster management: a systematic review and agenda for future research. Ann Oper Res 283(1):939–959

    Article  MathSciNet  Google Scholar 

  • Al-Dahash H, Thayaparan M, Kulatunga U (2016) It was understanding the terminologies: disaster, crisis, and emergency. Paper presented at the proceedings of the 32nd Annual ARCOM Conference, ARCOM 2016

    Google Scholar 

  • Amaye A, Neville K, Pope A (2016) BigPromises: using organi-sational mindfulness to integrate big data in emergency management decision making. J Decision Syst 25(1):76–84

    Google Scholar 

  • Amit SNKB, Aoki Y (2017) Disaster detection from aerial imagery with a convolutional neural network. The 2017 international electronics symposium on knowledge creation and intelligent computing (IES-KCIC). IEEE, pp 239–245

    Google Scholar 

  • Arslan M, Roxin A, Cruz C, Ginhac D (2018, January) A review on applications of big data for disaster management. In: The 13th international conference on signal image technology, India

    Google Scholar 

  • Biswas BC, Choudhuri SK (2012) Digital information resources for disaster management of libraries and information centres. Bangladesh J Library Inf Sci 2(1):12-21

    Google Scholar 

  • Dittus M, Quattrone G, Capra L (2017) Mass participation during emergency response: event-centric crowdsourcing in humanitarian mapping. Paper presented at the proceedings of the 2017 ACM conference on computer supported cooperative work and social computing

    Google Scholar 

  • Dugdale J, Moghaddam MT, Muccini H (2021) Iot4emergency: internet of things for emergency management. ACM SIGSOFT Software Engineering Notes 46(1):33–36

    Article  Google Scholar 

  • Ford JD, Tilleard SE, Berrang-Ford L, Araos M, Biesbroek R, Lesnikowski AC, MacDonald GK, Hsu A, Chen C, Bizikova L (2016) Big data has big potential for applications to climate change adaptation. PNAS 113(39):10729–10732

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gulesan OB, Anil E, Boluk PS (2021) Social media-based emergency management to detect earthquakes and organize civilian volunteers. Int J Disaster Risk Reduction 65:102543

    Article  Google Scholar 

  • Hashem IAT, Yaqoob I, Anuar NB, Mokhtar S, Gani A, Khan SU (2015) The rise of “big data” on cloud computing: review and open research issues. Inf Syst 47:98–115

    Article  Google Scholar 

  • Hossein H, Xu H, Emmanuel S (2019) Big data and climate change. Big Data Cogn Comput 3:12. https://doi.org/10.3390/bdcc3010012

  • Huang H, Peng Z, Wu H, Xie Q (2020) A big data analysis on the five dimensions of emergency management information in China’s early stage of COVID-19. J Chin Gov 5(2):213–233

    Article  Google Scholar 

  • Iglesias CA, Favenza A, Carrera Á (2020) A big data reference architecture for emergency management. Inf 11(12):569

    Article  Google Scholar 

  • IPCC (2022) Climate change 2022: impacts, adaptation and vulnerability. Contribution of working group ii to the sixth assessment report of the intergovernmental panel on climate change Pörtner HO, Roberts DC, Tignor M, Poloczanska ES, Mintenbeck K, Alegría A, Craig M, Langsdorf S, Löschke S, Möller V, Okem A, Rama B (eds), p 3056. Cambridge University Press. Cambridge University Press, Cambridge, UK and New York, NY, USA. https://doi.org/10.1017/9781009325844

  • Ivić M (2019) Artificial intelligence and geospatial analysis in disaster management. Int Arch Photogramm Remote Sens Spatial Inf Sci

    Google Scholar 

  • Jin W, Yang J, Fang Y (2020) Application methodology of big data for emergency management. Paper presented at the 2020 IEEE 11th international conference on software engineering and service science (ICSESS)

    Google Scholar 

  • Kaku K (2019) Satellite remote sensing for disaster management support: a holistic and staged approach based on case studies in Sentinel Asia. Int J Disaster Risk Reduction 33:417–432

    Article  Google Scholar 

  • Kaur M, Sood SK (2020) Hydro-meteorological hazards and role of ICT during 2010–2019: a scientometric analysis. Earth Sci Inf 13(4):1201–1223

    Article  Google Scholar 

  • Kaur M, Kaur PD, Sood SK (2022) ICT in disaster management context: a descriptive and critical review. Environ Sci Pollut Res 1–19

    Google Scholar 

  • Kaveh A, Javadi S, Moghanni RM (2020) Emergency management systems after disastrous earthquakes using optimization methods: a comprehensive review. Adv Eng Softw 149:102885

    Article  Google Scholar 

  • Kushwaha AK, Kar AK, Dwivedi YK (2021) Big data applications in emerging management disciplines: a text mining literature review. International Journal of Information Management Data Insights 1(2):100017

    Article  Google Scholar 

  • Li S, Xu LD, Zhao S (2015) The internet of things: a survey. Inf Syst Front 17(2):243–259

    Article  Google Scholar 

  • Lu P, Zhang N (2016). Application of big data in comprehensive emergency management platform in China. Paper presented at the 2016 6th International Conference on Mechatronics, Computer, and Education Informationization (MCEI 2016)

    Google Scholar 

  • Luna S, Pennock MJ (2018) Social media applications and emergency management: a literature review and research agenda. International Journal of Disaster Risk Reduction 28:565–577

    Article  Google Scholar 

  • Mandl D, Frye S, Cappelaere P, Handy M, Policelli F, Katjizeu M, Van Langenhove G, Aube G, Saulnier JF, Sohlberg R (2013) Use the earth observing one (EO-1) satellite for the Namibia sensor web flood early warning pilot. IEEE J Sel Top Appl Earth Obs Remote Sens 6(2):298–308

    Article  Google Scholar 

  • Mao Z, Zou Q, Yao H (2021) The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China. BMC Public Health 21, 2001 (2021). https://doi.org/10.1186/s12889-021-12065-0

  • Maryam H, Shah MA, Javaid Q, Kamran M (2016) A survey on smartphone systems for emergency management (SPSEM). Int J Adv Comput Sci Appl 7(6):301–311

    Google Scholar 

  • Murphy R, Dufek J, Sarmiento T, Wilde G, Xiao X, Braun J, Mullen L, Smith R, Allred S, Adams J, Wright A. (2016) Two case studies and gaps analysis of flood assessment for emergency management with small unmanned aerial systems. Paper presented at the 2016 IEEE international symposium on safety, security, and rescue robotics (SSRR), pp 54–61. https://doi.org/10.1109/SSRR.2016.7784277

  • Norris AC, Martinez S, Labaka L, Madanian S, Gonzalez JJ, Parry D (2015, May) Disaster e-health: a new paradigm for collaborative healthcare in disasters. In: proceedings of ISCRAM 2015, Kristiansand, Norway

    Google Scholar 

  • Ofli F, Meier P, Imran M, Castillo C, Tuia D, Rey N, Parkan M (2016) Combining human computing and machine learning to make sense of big (aerial) data for disaster response. Big Data 4(1):47–59

    Article  PubMed  Google Scholar 

  • Pollard JA, Spencer T, Jude S (2018) Big data approaches for coastal flood risk assessment and emergency response Wiley Interdiscip. Rev Clim Change 9 e543

    Google Scholar 

  • Ragini JR, Anand PR, Bhaskar V (2018) Big data analytics for disaster response and recovery through sentiment analysis. Int J Inf Manage 42:13–24

    Article  Google Scholar 

  • Rahman S, Di L, Zannat E (2017) The role of big data in disaster management. Proceedings, international conference on disaster risk mitigation, Dhaka, Bangladesh, 23–24 September 2017

    Google Scholar 

  • Ray PP, Mukherjee M, Shu L (2017) Internet of things for disaster management: state-of-the-art and prospects. IEEE Access 5:18818–18835

    Article  Google Scholar 

  • Roy R, Paul A, Bhimjyani P, Dey N, Ganguly D, Das AK, Saha S (2020) A short review on applications of big data analytics. In: Emerging technology in modelling and graphics. Springer, Berlin, pp 265–278

    Google Scholar 

  • Sakhardande P, Hanagal S, Kulkarni S (2016) Design of disaster management system using IoT-based interconnected network with smart city monitoring. pp 185–190. https://doi.org/10.1109/IOTA.2016.7562719

  • Sarker MNI, Yang B, Yang L, Huq ME, Kamruzzaman M (2020) Climate change adaptation and resilience through big data. Int J Adv Comput Sci Appl 11(3):533–539

    Google Scholar 

  • Skliarov S, Kaptan K, Khorram-Manesh A (2017) Definition and general principles of disasters. In: Handbook of disaster and emergency management. pp 17–22

    Google Scholar 

  • Song X, Zhang H, Akerkar RA, Huang H, Guo S, Zhong, L, Ji Y, Opdahl AL, Purohit H, Skupin A, Pottathil A (2020) Big data and emergency management: concepts, methodologies, and applications. IEEE Trans Big Data 8(2):397–419. https://doi.org/10.1109/TBDATA.2020.2972871

  • Sun W, Bocchini P, Davison BD (2020) Applications of artificial intelligence for disaster management. Nat Hazards 103:2631–2689. https://doi.org/10.1007/s11069-020-04124-3

  • Villeneuve M (2018) Emergency preparedness pathways to disability-inclusive disaster risk reduction. Aust J Emerg Manage Divers Disast 44–47

    Google Scholar 

  • Wania A, Joubert-Boitat I, Dottori F, Kalas M, Salamon P (2021) Increasing timeliness of satellite-based flood mapping using early warning systems in the Copernicus emergency management service. Remote Sens 13(11):2114

    Article  Google Scholar 

  • Wilson R, zu Erbach-Schoenberg E, Albert M, Power D, Tudge S, Gonzalez M, Guthrie S, Chamberlain H, Brooks C, Hughes C, Pitonakova L (2016). Rapid and near real-time assessments of population displacement using mobile phone data following disasters: the 2015 Nepal earthquake. PLoS Curr 8

    Google Scholar 

  • World Health Organization (2020) Support to countries for strengthening public health capacities required under the International Health Regulations (2005): WHO Lyon Office, Department of Country Health Emergency Preparedness and IHR: activity report 2018–2019

    Google Scholar 

  • Wu J, Wang J, Nicholas S, Maitland E, Fan Q (2020) Applying big data technology for COVID-19 prevention and control in China: lessons and recommendations. J Med Internet Res 22(10):e21980

    Article  PubMed  PubMed Central  Google Scholar 

  • Xu Z, Frankwick G, Ramirez E (2016) Effects of big data analytics and traditional marketing analytics on new product success: a knowledge fusion perspective. J Bus Res 69(5):1562–1566

    Google Scholar 

  • Yu H (2020) Research on emergency management information system model based on big data. Paper presented at the 2020 international conference on big data and social sciences (ICBDSS). pp 182–185. https://doi.org/10.1109/ICBDSS51270.2020.00048

  • Yu M, Yang C, Li Y (2018) Big data in natural disaster management: a review. Geosciences 8(165):1–26

    Google Scholar 

  • Zhang P, Bai Y, Wang D, Bai B, Li Y (2021) Few-shot classification of aerial scene images via meta-learning. Remote Sens 13(1):108. https://doi.org/10.3390/rs13010108

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Desalegn Yayeh Ayal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Semaw, F., Kebede, D., Ayal, D.Y. (2023). Hydro-Meteorological Risk Emergency Planning and Management Using Big Data as a Platform. In: Leal Filho, W., Kovaleva, M., Alves, F., Abubakar, I.R. (eds) Climate Change Strategies: Handling the Challenges of Adapting to a Changing Climate. Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-031-28728-2_31

Download citation

Publish with us

Policies and ethics