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Future direction for using FOSS4G: Case of Managing Early warning Systems for Monitoring Natural Hazards in El Salvador

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atop pack With afternoon my name is Dick
injury that I am severely injuring 4 the National University of Southern and actually I am a study now a master's degree in the National University of cell in we must endure by original development today I want to introduce you to there in case
of a cell mentioned managing air in early warning systems the of
I that OK as I already mentioned my name is that in the later I am from other today I will introduce the case of managing everywhere in system is specifically in the Ministry of Environment of yeah a had context today it will be the current in the ground actions by the national government natural trips and the data that we use in the matter of a monitoring center and application of this data and some conclusion about these the first one the country background it said about art is located in the Central American region we a small country and the by year we phased rainy season ended the dodo they and convergence convergence on that usually during the winter during the rainy season but it's between and may end up Dover Air days that cater over the territory that's mean we face a lot of frame during this period also we are in 1 of the most areas that face you a among the war and also we have these in new phenomena that and its year by year change in the pattern of the rainfall in these areas and also we are a part of their ring of fire that's mean that we face a lot of Eric weights during the years any some information from a the sorry from the countries that aim at their whole country has around 6 . 2 million of people in the metropolitan area it's around 2 point to me in a million of people and that's means that within the Metropolitan area or we have a lot are under 30 per cent of the talk of operation in the country but what is the national government trying to do is related to managing these kind of natural traits that we face and usually yeah year by year the Ministry of Environmental dozen 12 is hard to implement the National Environmental Policy n we disappear within this environmental policy baby it and make some strategies and also an action plan for nieces strategies being the National Environmental Policy is the old interviews to reverse environmental degradation and reduce bring inability to with the climate change and the then that general in vitamin a strategy that I there 4 different strategies for sanitation whatever resources biodiversity and climate change end for the action plans 1 of these action plan is the national climate change In these national
climate change plan they have different and a specific problem specific object and also different priority lines but today I will focus on the last 1 that is 1 of the problem is that In the climate change is increasing in the natural treats in or areas and a specific object for these is reviews the climate risk how am trying to implement some adaptation and risk reduction actions and what is there and within these national climate change strategy made by the Ministry of him vitamin they have different critical issues but 1 of them is the technology and they have also tree in a different axis the first one is the mechanism to address loss and damages from extreme events and the 2nd 1 is adapting to climate change and that's the 1 is climate change mitigation and command and the institutional requirements are 1 of the most important is monitoring and evaluation In this sense no then Minister from vitamin is part to implement these natural treats integrated monitoring system it and the state monitoring system looks like these is within them on Ministry of Environment and 1 of the important thing is since the ministry decide to it's hard to work in this kind of centers they integrate all the areas cosmology volcanology and ology hydrology that's mean we have we have all the areas that are really with where has or natural hazards in the same part the are working together that's made that the response is faster than we when we have these different areas separated as Sara mentioned these are the areas that are in these monitoring incentives but what kind of data we manage within these this is the it is held by the map and are using different layers for example the malls in affected areas by flower and also the reverse n within this map you concede their volcanoes also and they are using a different air basin's for the catchment area and this point that you see there are different kind of limit the station they just need where their data are for a day monitoring centered that's mean we have we have time the and we can't have that rainfall AAM measure win and velocity temperatura bed barometric pressure and different other kind of M. but I'm at there's end we get thereby disturber this kind of huge data must some day and the limit to the station sends data at every 10 minutes or 15 minutes but when we have some behavior rainfall or for example last sees a system and we can get data in 1 minutes everyone means also air we are starting to implement rather as full or in look when is actually rain for example in this occasion they show us at day just show us where is rain we cannot guess there how is the amount of rainfall that we have but there are people that that trying to calculate this area in relation between the colors and the amount of rainfall and also we are implementing a new kind of early warning system that is the flesh flow guidance the fast guidance sign is to forecast the amount of rainfall needed to grasp bad fall in the smaller streams in the system was created by Barry hydrologic Research Center in San Diego California and the system looks like this we have a different kind of brother from these and for example air dissipated data and avalanche so is my Stewart and also the flash flow guide and that is the keeper of the of these their system and we also have a huge amount of data and these systems it's them send it ascending information every hour and what are the application of we are going with all this amount of data and for the data analyses we have of is special person doing so meterological Analyses and the 1st is big he created the ultimatum system for Antici Shannon and processing of stability measures in high definition he called this the system like CePPIs in H this is the acronym is punished because we and our is by nature speaker the system is with the data from the meterological an data from then on they are using the robot Matt guidance 1 do and also my as sequela Piyush the for my machine all these data on disk were most of them are for free that's mean she's using most of the it it too was that he's using his free and open source in so for not just the ideas they are also provide a means of were on all the kind of and he makes some chose great Lars IDB a scripting last there's some relations come on all the different industry and he creates the system for what and actually she did it because we just have been numerical data and we need to see these data item up and with these system that he create we can solve this much weed rainfall humidity pressure and wind velocity and different kind of for example this is a bad in this is the temperature in most and in this sense there metrological people that matter allergic in technicians can see where is there to reach for a area where have been here a gun or a big storm and also this was created force by by him with these system the separation and the other 2 which is that of the Montego numerical modelling of messes system with the Weather Research and forecast models he's use and using data from the W F that is their weather forecast model and we get from here just saying that kind of data that I already mentioned and for DEC the aah analyses he's using the air w Polsce deduce a proton to compared the output from the W R F 2 gram n and yeah the programs and that w r after explored the results and we can see the images for and data such as these and we can see the changes of the pattern of the rainfall everyone are our for hours 6 hours and 12 hours that means you have a huge amount of data but knowledge and we thought there would not have numerical data data now we have images that it's easier for us to understand and to communicate to the people that are in risk also we did Khafji system we are using quantum years Ford
analyzes of the data they provide these kind of have a DBF flying and we can in and chart all this data being to genes and managing these data and what we can do with this if we can see the variation in the soil moisture for example in this much as you can see we can manage all this kind of data and also the variation in the rain in this case this is their high just made of rainfall and we can manage also these and show to the people and we did the limited station they'd hours so we are at making some kind of data dissemination for the whole population in the country and how we are doing these and with that the limit the station that is a people that create in the workstations you were a station our looks ladies and the beginning we just have a ceremony mentioned in numbers of the rainfall are their parameters from the weather station but now we have these and we came in we have these kind of screens in yeah almost all the different n the case of the country that's mean we the people can see this information when it's raining because this is 4 days a hydrologic information that at that point it gets rare when there is rainfall and in the back part the people can say the amount of rainfall in time in real time and so we can see their catchment basins we and this is for a AAM land slice the people can there has been a e is the point is the release of landslide in this area and also the highest part of the country and we also show there they have rather information and they last 1 is foreign velocity and this is some kind of information where the people in reports on landslide or flowers or if you sat and break are different but affectations from their quick n and the same people and that made this workstation system also create application from for Andre and the people can they allow this kind of application for a seat in real time the data that we are managing and within them air monitoring center and for example and this is for a and EIR wake and this is for weather has services for landslide rainfall and the developer use a she combined deals datasets with air dataset reviews the use of ideas held by the mean is there in a a monitoring center and she won the 2nd prize in the often done in 2014 with this application and on the we have another application for so moisture also you can the people can download these this is very useful for me to during these kind of the activities and actually we have active volcanoes that's why he needs to develop I Spatial application for volcanoes areas in Greece and he used a budget for about development for a and therefore made a script for these application and also we are using that social media such as Facebook or to be there or because the people usually is they are most familiar you say there with this kind of genes as a conclusion and the is 0 from by and it the mean is is the Ministry of Environment has the biggest and uh monitoring center in the Central American region and also he spent a lot of my head means to expand out of money for this but actually is very uh successful 1 of sample used into those in 11 we have a very heavy rainfall in 1 of the working out of the country but Back then we we implement these my early-warning warning system in this South area of their but a you but in the north part of the volcano we didn't get and when this because Tomic or it was around 400 millimetres of rainfall in 1 D that is of huge amount of rainfall in just for 1 the bad they their oak or at huge air landslide from the working end Ford announced empire their unfortunately we get a lot of die people due to like but in the southern part when we get a when we are ready implemented this kind of early-warning system no 1 dice even when there is some kind of that some plants and also some small Landsman this is a very good example for all that these kind of freedom in early warning system that we are trying to implement it's useful in also successful and In this context that we are taking about uh the Sustainable Development Goals I want to mention that and related to this topic In the Golan 9 that talk about the Beatrice lent inference to to promote inclusive and sustainable industries station and foster innovation added is 1 of the important targets that we have to get I don't know why they don't appear here but I really for each year and analyze it doesn't appear to be OK but and this a and there's a gun gold that we also have to apply for this topic is the goal 11 that is try to make in the descending human settlement inclusive and also safe resilient and sustainable end of the 1 the use their goal at 13 that is take origin actions to combat climate change and its impact the and at the
final I want to mention the Pontil challenges for his her abilities to combine national evidence intra-level this is important to ideation visual information from the field of infrastructure for new such as chairman as seen very rare everywhere is because we already know what the experience of Korea irony BC stop is this is a monitoring center and I saw that being just not just combine whether in another culture it's they also combining traffic information crime information and this is very good in a challenge for us because also actually these days have always facing a very critical and the mean of yeah in time we are facing not with safety conditions that's why we will mean but will to implement this kind of monitoring center in as ingredients also more detailed geographical information I tell you that means for modeling is also trying to do something related to that since 2014 India started to make some lands on the matches forward this kind of geographical information and also the senses n add more sensors in a new sensors in the field and also as special light humorous hours because actually most of the people in that they're watching the metrological area is all of people and we don't have this kind of a specialized or technical schools in the country most of the people has to go outside the country to get his knowledge that's why we need to also in improving despite and thank you for your attention and this is all the information I have to have to say thank you to the Ministry of Environment like for my country because I can share this information with you and also for hydrological research center because they also was the 1 of the developers of the early warning system and for the people develop bears of this a application that is 1 of them has figured 0 and W so Castilian thank you it
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Titel Future direction for using FOSS4G: Case of Managing Early warning Systems for Monitoring Natural Hazards in El Salvador
Serientitel FOSS4G Seoul 2015
Autor Rivera, Jacqueline
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/32117
Herausgeber FOSS4G
Erscheinungsjahr 2015
Sprache Englisch
Produzent FOSS4G KOREA
Produktionsjahr 2015
Produktionsort Seoul, South Korea

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