The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas all under the terms of the Environmental Noise Directive (END). Data covers the EEA32 member countries and the United Kingdom (excluding Turkey for the third round of noise mapping in 2017).
Enthalten sind Haupteisenbahnstrecken, mit mehr als 30.000 Zugbewegungen pro Jahr, zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EG.
This data set consists of Horizontal-to-Vertical Spectral Ratios (HVSR) resulting from the application of the software package HVNEA (HV Noise and Earthquake Automatic Analysis) with the aim of comparing them with those resulting from the application of another method, namely STATION (Seismic sTATion and sIte amplificatiON). The results, relative to more than 24,000 HVSR, derive from the processing of 700,000 seismograms recorded over different time periods by 8 stations of the networks IV (Italian Seismic Network), GU (Regional Seismic Network of North Western Italy) and GV (Mobile RSNI). To compare the results of the two methods as accurately as possible, the waveforms were subjected to the same preprocessing already used to elaborate the results stored in the STATION database. To this end, the methodological workflow applied with HVNEA for station IV.MURB involved the selection of segments from continuous recordings for each event reported in the INGV catalogue located within a radius of 120 kilometres from the station. Starting from the automatically picked S-wave onsets, 12-second windows were then extracted and used for the analysis of earthquake recordings. Regarding the noise analysis, it should be noted that STATION again considers 12-second windows selected before the P-wave onset, while HVNEA requires the use of a signal window of at least 60 seconds. A window of 3,600 seconds was used for the analysis. The comparison of the HVSR was performed in the frequency band 0.1–15 Hz. All analysed curves, for both earthquake and noise recordings, show generally similar shapes and identify significant peaks in correspondence of the same frequency ranges, although the amplitudes obtained with STATION are systematically higher than those obtained with HVNEA. To obtain a quantitative comparison, various statistical metrics commonly used to measure the discrepancy between data sets were applied, namely the Mean Squared Error, the Mean Absolute Error and the Pearson Correlation Coefficient. This publication results from work conducted under the transnational access/national open access action at the Site effects Laboratory – INGV L’Aquila supported by WP3 ILGE–MEET project, PNRR–EU Next Generation Europe program, MUR grant number D53C22001400005.
This data set builds upon the broadband detection lists of the International Monitoring System (IMS)’s infrasound stations. The infrasound data of these stations are regularly (re-)processed at the German National Data Centre at BGR (e.g., Ceranna et al., 2019; https://doi.org/10.1007/978-3-319-75140-5_13) using the Progressive Multi-Channel Correlation (PMCC) array processing method (Cansi, 1995; https://doi.org/10.1029/95GL00468). The latest reprocessing with 26 one-third octave spaced frequency bands in the IMS band of interest (0.01 to 4 Hz) included all 53 stations that were certified within the period 2003 to 2020. Based on the resulting broadband detection lists, this data set expands on former analyses of the coherent ambient noise. For each station with a data availability of at least one year (by the end of 2020), monthly reference histograms for the detection parameters back azimuth, apparent speed, and root-mean-squared amplitude are provided. The histograms provide a means to determine the deviation from nominal monthly behaviour and thus enable assessing the plausibility of detections and potential anomalies – without determining their cause – in the detected parameters. Overall, these quality metrics will be, among other applications, a useful supplement to the open-access IMS infrasound data products provided by Hupe et al., which are also available in BGR’s product centre. Further details of the reference histograms are described in the following publication by Kristoffersen et al.: "Updated global reference models of broadband coherent infrasound signals for atmospheric studies and civilian applications" (https://doi.org/10.1029/2022EA002222).
Lärmbelastung (Lden/Lnight) in der Umgebung von Hauptverkehrsstraßen mit einem Verkehrsaufkommen von mehr als 3.000.000 Fahrzeugbewegungen pro Jahr, zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EC.
Lärmbelastung (Lden/Lnight) in der Umgebung von Hauptverkehrsstraßen mit einem Verkehrsaufkommen von mehr als 3.000.000 Fahrzeugbewegungen pro Jahr, zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EC.
Enthalten sind Haupteisenbahnstrecken, mit mehr als 30.000 Zugbewegungen pro Jahr, zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EG.
Basisdaten der Großflughäfen mit mehr als 50.000 Flugbewegungen im Jahr zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EG.
Enthalten sind Haupteisenbahnstrecken, mit mehr als 30.000 Zugbewegungen pro Jahr, zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EG.
Basisdaten der Großflughäfen mit mehr als 50.000 Flugbewegungen im Jahr zur strategischen Lärmkartierung entsprechend der EU-Umgebungslärmrichtlinie 2002/49/EG.
| Origin | Count |
|---|---|
| Bund | 46 |
| Europa | 1 |
| Land | 29 |
| Wissenschaft | 27 |
| Zivilgesellschaft | 6 |
| Type | Count |
|---|---|
| Daten und Messstellen | 1 |
| Förderprogramm | 21 |
| Hochwertiger Datensatz | 8 |
| Text | 17 |
| Umweltprüfung | 5 |
| unbekannt | 52 |
| License | Count |
|---|---|
| geschlossen | 40 |
| offen | 61 |
| unbekannt | 3 |
| Language | Count |
|---|---|
| Deutsch | 66 |
| Englisch | 39 |
| Resource type | Count |
|---|---|
| Archiv | 12 |
| Bild | 1 |
| Datei | 2 |
| Dokument | 5 |
| Keine | 53 |
| Webdienst | 18 |
| Webseite | 27 |
| Topic | Count |
|---|---|
| Boden | 86 |
| Lebewesen und Lebensräume | 87 |
| Luft | 104 |
| Mensch und Umwelt | 104 |
| Wasser | 54 |
| Weitere | 104 |