In this paper we introduce a landslide prediction system for modelling the probabilities of landslides through time in Slovenia (Masprem). The system to forecast rainfall induced landslides is based on the landslide susceptibility map, landslide triggering rainfall threshold values and the precipitation forecasting model. Through the integrated parameters a detailed framework of the system, from conceptual to operational phases, is shown. Using fuzzy logic the landslide prediction is calculated. Potential landslide areas are forecasted on a national scale (1: 250,000) and on a local scale (1: 25,000) for five selected municipalities where the exposure of inhabitants, buildings and different type of infrastructure is displayed, twice daily. Due to different rainfall patterns that govern landslide occurrences, the system for landslide prediction considers two different rainfall scenarios (M1 and M2). The landslides predicted by the two models are compared with a landslide inventory to validate the outputs. In this study we highlight the rainfall event that lasted from the 9th to the 14th of September 2014 when abundant precipitation triggered over 800 slope failures around Slovenia and caused large material damage. Results show that antecedent rainfall plays an important role, according to the comparisons of the model (M1) where antecedent rainfall is not considered. Although in general the landslides areas are over-predicted and largely do not correspond to the landslide inventory, the overall performance indicates that the system is able to capture the crucial factors in determining the landslide location. Additional calibration of input parameters and the landslide inventory as well as improved spatially distributed rainfall forecast data can further enhance the model's prediction. IzvlečekV članku predstavljamo sistem za napovedovanje verjetnosti nastanka plazov v času v Sloveniji (Masprem). Sistem napovedovanja plazov, ki se bodo sprožili zaradi padavin, je osnovan na karti verjetnosti pojavljanja plazov, sprožilnih/mejnih količin padavin za posamezne geološke enote ter modelskih napovedi padavin. Preko vključenih parametrov je prikazan potek dela, od idejne do operativne stopnje. Pri izračunu napovedovanja plazov je bila uporabljena mehka logika. Območja nastanka možnih plazov se računajo dvakrat dnevno, in sicer na državni ravni (v merilu 1:250.000) ter na lokalni ravni (merilo 1:25.000), kjer se za pet izbranih občin računa izpostavljenost prebivalcev, objektov in infrastrukture. Zaradi različnega vpliva padavin na pojav plazov, sistem napovedovanja upošteva dva različna scenarija za padavine (M1 in M2). Plazovi, ki jih napovedujeta ta dva modela, so primerjani z plazovi v bazi plazov, z namenom preverjanja ujemanja in validacije. Posebej so obravnavane obsežne padavine med 9. in 14. septembrom 2014, ki so botrovale sprožiti preko 800 plazov po celotni Sloveniji ter povzročile veliko gmotno škodo. Rezultati modelov kažejo, da so predhodne padavine pomembne pri napovedovanju. Kar je razvidno iz rezu...
No abstract
Kratka vsebina Namen prispevka je prikazati relacijsko podatkovno zbirko terenskih to~k, zgrajeno na podlagi podatkov, ki so bili pridobljeni v obdobju tridesetletnih terenskih raziskav za Osnovno geolo{ko karto Slovenije v merilu 1:100.000. Baza je ustvarjena s pomo~jo programskega orodja MS Access, ki zagotavlja njeno stabilnost, u~inkovito delovanje ne glede na spreminjanje, iskanje in dodajanje novih podatkov, la`ji, hitrej{i in uporabniku prijaz-nej{i dostop do terenskih podatkov, dolgoro~no pa je s prenosom v GIS-okolje in povezavo z opisnimi podatki namenjena zadovoljevanju vseh informacijskih potreb.
Primary and secondary mineral resources are of strategic importance for the EU. Most EU countries (including Slovenia) are already part of the pan‐European Minerals Intelligence Network which provides consistent and organized data information on primary and secondary mineral resources on the European level. It was established in previous projects as EuroGeoSource, Minerals4EU, ProSUM, Mica and ORAMA. The Eastern and south Eastern European (ESEE) region represents a gap in this network, but at the same time is also identified as one of most important strategic regions for the EU with great potential for mineral supply. The large concerns are aiming to expand their business to the region, but access to relevant data interesting for the investors is still not available. There is a need for surveyed and unified mineral resources data. In the framework of RESEERVE (EIT RM KAVA project, duration 1.4.2018-31.3.2021), national mineral resources data of six task partners from West Balkan countries (Albania, Bosnia and Herzegovina, Croatia, Serbia, Montenegro and Macedonia) were implemented and harmonized with INSPIRE directive (European directive for organizing spatial data). Since EU directives are mandatory for members only and West Balkan countries are not yet targeted (except Croatia), they are still interested in their implementation. For that reason the main project goal is the creation of the West Balkan Mineral Register, provided by national data providers, which will represent a starting point to integrate the ESEE region into existing EU data platforms and bring it closer to common minerals market. Regional mineral data will become more accessible and relevant. The goal of the project is to anticipate the future supply and demand for minerals, particularly regarding critical minerals and therefore to contribute to the sustainable mineral supply in Europe. Leading partner for RESEERVE project is Geological Survey of Slovenia (GeoZS), which has identified relevant data providers and examined data quantity, quality and format. GeoZS will synthesize primary and secondary raw material data into common West Balkan Mineral Register and test the harvesting of data in INSPIRE compliant European data model. The scenarios drawn up in the project will be available through the European Geological Data Infrastructure (EGDI), which will offer easy access to existing mineral data. EGDI provides access to Pan-European and national geological 150 datasets and services from the Geological Survey Organizations of Europe. Through EGDI data from several European data harmonization projects are accessible. EGDI was launched in June 2016 in a Version 1 and has since then been extended to include more data sets, including mineral resources. The article is mostly focused on workflow harmonizing the data and spreading IT knowledge of mapping the national primary and secondary minerals data to already existing European data model and developing national relational databases, that fit into European common database structure. Data harmonization was already performed through national training workshops to assist task partners in taking the first step toward INSPIRE directive implementation.
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