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Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools

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@article{IJASEIT14535,
   author = {Samantha Louise N Jarder and Raniel Cris L Macabare and Salvador G. Oleivar and Abraham Matthew S. Carandang and Patrick Shaun N. Ngo and Richard M. de Jesus and Lessandro Estelito O. Garciano and Andres Winston C. Oreta},
   title = {Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {3},
   year = {2021},
   pages = {937--946},
   keywords = {Early Warning System; disaster risk reduction and management; disaster preparedness; disaster response.},
   abstract = {

Schools play an important role in any community because children spend most of their time in schools for their education. Unfortunately, schools are exposed to natural hazards such as earthquakes, typhoons, and floods like other structures. However, implementing an effective Early Warning System (EWS) can help school administrators, occupants, and communities prepare against these hazards. EWS is an essential component of a disaster risk reduction management (DRRM) plan. Its purpose is to generate and disseminate timely and meaningful information of possible extreme events to administrators and eventually to the students. However, it is difficult to ascertain the quality of a school’s EWS to address any upcoming hazards. With this, the authors designed a workshop with toolkits to guide school administrators in evaluating their organizational structure within the context of DRR. The toolkits assessed the soft and hard measures of the school, particularly its DRRM and EWS. A method was developed to measure the EWS in schools based on the toolkits. A radar scoring system was used to measure the school’s key elements: Risk Knowledge, Monitoring and Warning Services, Dissemination and Communication, Response Capabilities. Indices for each element and EWS as a whole were obtained. Modes of warning and communication were ranked. In Lipa City’s case, the results showed that the schools have an average of 74.050 EWS index, meaning the EWS is of good quality but can still be improved. This method can be applied to other schools to assess their EWS.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14535},    doi = {10.18517/ijaseit.11.3.14535} }

EndNote

%A Jarder, Samantha Louise N
%A Macabare, Raniel Cris L
%A Oleivar, Salvador G.
%A Carandang, Abraham Matthew S.
%A Ngo, Patrick Shaun N.
%A de Jesus, Richard M.
%A Garciano, Lessandro Estelito O.
%A Oreta, Andres Winston C.
%D 2021
%T Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools
%B 2021
%9 Early Warning System; disaster risk reduction and management; disaster preparedness; disaster response.
%! Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools
%K Early Warning System; disaster risk reduction and management; disaster preparedness; disaster response.
%X 

Schools play an important role in any community because children spend most of their time in schools for their education. Unfortunately, schools are exposed to natural hazards such as earthquakes, typhoons, and floods like other structures. However, implementing an effective Early Warning System (EWS) can help school administrators, occupants, and communities prepare against these hazards. EWS is an essential component of a disaster risk reduction management (DRRM) plan. Its purpose is to generate and disseminate timely and meaningful information of possible extreme events to administrators and eventually to the students. However, it is difficult to ascertain the quality of a school’s EWS to address any upcoming hazards. With this, the authors designed a workshop with toolkits to guide school administrators in evaluating their organizational structure within the context of DRR. The toolkits assessed the soft and hard measures of the school, particularly its DRRM and EWS. A method was developed to measure the EWS in schools based on the toolkits. A radar scoring system was used to measure the school’s key elements: Risk Knowledge, Monitoring and Warning Services, Dissemination and Communication, Response Capabilities. Indices for each element and EWS as a whole were obtained. Modes of warning and communication were ranked. In Lipa City’s case, the results showed that the schools have an average of 74.050 EWS index, meaning the EWS is of good quality but can still be improved. This method can be applied to other schools to assess their EWS.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14535 %R doi:10.18517/ijaseit.11.3.14535 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 3 %@ 2088-5334

IEEE

Samantha Louise N Jarder,Raniel Cris L Macabare,Salvador G. Oleivar,Abraham Matthew S. Carandang,Patrick Shaun N. Ngo,Richard M. de Jesus,Lessandro Estelito O. Garciano and Andres Winston C. Oreta,"Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 3, pp. 937-946, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.3.14535.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Jarder, Samantha Louise N
AU  - Macabare, Raniel Cris L
AU  - Oleivar, Salvador G.
AU  - Carandang, Abraham Matthew S.
AU  - Ngo, Patrick Shaun N.
AU  - de Jesus, Richard M.
AU  - Garciano, Lessandro Estelito O.
AU  - Oreta, Andres Winston C.
PY  - 2021
TI  - Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 3
Y2  - 2021
SP  - 937
EP  - 946
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Early Warning System; disaster risk reduction and management; disaster preparedness; disaster response.
N2  - 

Schools play an important role in any community because children spend most of their time in schools for their education. Unfortunately, schools are exposed to natural hazards such as earthquakes, typhoons, and floods like other structures. However, implementing an effective Early Warning System (EWS) can help school administrators, occupants, and communities prepare against these hazards. EWS is an essential component of a disaster risk reduction management (DRRM) plan. Its purpose is to generate and disseminate timely and meaningful information of possible extreme events to administrators and eventually to the students. However, it is difficult to ascertain the quality of a school’s EWS to address any upcoming hazards. With this, the authors designed a workshop with toolkits to guide school administrators in evaluating their organizational structure within the context of DRR. The toolkits assessed the soft and hard measures of the school, particularly its DRRM and EWS. A method was developed to measure the EWS in schools based on the toolkits. A radar scoring system was used to measure the school’s key elements: Risk Knowledge, Monitoring and Warning Services, Dissemination and Communication, Response Capabilities. Indices for each element and EWS as a whole were obtained. Modes of warning and communication were ranked. In Lipa City’s case, the results showed that the schools have an average of 74.050 EWS index, meaning the EWS is of good quality but can still be improved. This method can be applied to other schools to assess their EWS.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14535 DO - 10.18517/ijaseit.11.3.14535

RefWorks

RT Journal Article
ID 14535
A1 Jarder, Samantha Louise N
A1 Macabare, Raniel Cris L
A1 Oleivar, Salvador G.
A1 Carandang, Abraham Matthew S.
A1 Ngo, Patrick Shaun N.
A1 de Jesus, Richard M.
A1 Garciano, Lessandro Estelito O.
A1 Oreta, Andres Winston C.
T1 Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 3
YR 2021
SP 937
OP 946
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Early Warning System; disaster risk reduction and management; disaster preparedness; disaster response.
AB 

Schools play an important role in any community because children spend most of their time in schools for their education. Unfortunately, schools are exposed to natural hazards such as earthquakes, typhoons, and floods like other structures. However, implementing an effective Early Warning System (EWS) can help school administrators, occupants, and communities prepare against these hazards. EWS is an essential component of a disaster risk reduction management (DRRM) plan. Its purpose is to generate and disseminate timely and meaningful information of possible extreme events to administrators and eventually to the students. However, it is difficult to ascertain the quality of a school’s EWS to address any upcoming hazards. With this, the authors designed a workshop with toolkits to guide school administrators in evaluating their organizational structure within the context of DRR. The toolkits assessed the soft and hard measures of the school, particularly its DRRM and EWS. A method was developed to measure the EWS in schools based on the toolkits. A radar scoring system was used to measure the school’s key elements: Risk Knowledge, Monitoring and Warning Services, Dissemination and Communication, Response Capabilities. Indices for each element and EWS as a whole were obtained. Modes of warning and communication were ranked. In Lipa City’s case, the results showed that the schools have an average of 74.050 EWS index, meaning the EWS is of good quality but can still be improved. This method can be applied to other schools to assess their EWS.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14535 DO - 10.18517/ijaseit.11.3.14535