Open AccessPreliminary study of impact based forecast implementation in Pandeglang District
Author(s) -
R. D. Ninggar,
L. Widomurti,
S. Kharisma,
M. D. Anggoro
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/561/1/012033
Subject(s) - warning system , extreme weather , natural hazard , climate change , residence , hazard , hydrometeorology , natural disaster , early warning system , environmental science , geography , computer science , environmental resource management , business , meteorology , precipitation , economics , demographic economics , telecommunications , ecology , chemistry , organic chemistry , biology
Natural disasters due to bad weather make the need for weather information increase. The impact of severe hydrometeorological events has caused many casualties and significant damage to property and infrastructure, with adverse economic consequences for the people that can last for years even greater for future climate change, because almost all of the bad weather and climate events are projected to change in frequency, intensity, spatial area, duration and time. The availability of weather information so far turned out to be not enough to reduce the impact of bad weather phenomenon, the accuracy of forecasting and early warning information must be followed by public knowledge of what must be done to respond to this information. The implementation of an impact-based weather information dissemination system elaborates on the delivery of the impact of a hazard to individuals or communities at risk. A series of Covariance Analysis analyses were carried out using the SPSS application to investigate differences in intended perceptions and actions between phenomenon-based weather warning recipients and impact-based weather warnings, by controlling several relevant demographic variables, for example, gender, age, education, and domicile/residence. The results of an analysis of the community response assessment of weather forecast information and early warnings showed that respondents who received impact-based warning information felt it was much easier to understand the possible effects of bad weather, more trust that the potential impact would be more threatening, and was more concerned about the effects of bad weather compared when respondents received phenomenon-based warning information. There is no significant difference for the respondents to take further action on the information provided and the higher the level of education and the more vulnerable the region is, the more public the response.