News National Open Data Catalog More

Publishers (1)

Publisher of the dataset

Themes (2)

Theme from the european Data Theme vocabulary

HVD category (0)

High-Value dataset category from a European vocabulary. A High Value Dataset is public sector information whose re-use has significant benefits for society, the environment and the economy, in particular because of its suitability for services, job creation and other value-added applications.

Data service (1)

Datasets distributed via a data service

Formats (3)

Data formats of distributions in the form of downloadable files
Search

Extended search

7 datasets found

INSPIRE – Air quality monitoring stations

The network of measuring stations registered in the ISKO database in 2022. The basis for the air quality assessment is the concentrations measured at the monitoring stations. The measurement network is densest in the areas with the highest concentrations of pollutants, but covers the whole Czech Republic. The backbone network of monitoring stations is the National Air Quality Monitoring Network (NAQMN), operated by the CHMI. It includes both stations with an automated monitoring programme (AIM) and stations with a manual monitoring programme (MIM), from which the samples taken are analysed in the laboratories of the CHMI. In many cases, air pollution at one site is monitored simultaneously by both automatic and manual methods. The national network of concentration monitoring is supplemented by monitoring stations of other organisations, whose measurements are also used in the assessment of air quality.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

INSPIRE – All AQ data associated with AQ monitoring stations

Concentrations measured by all monitoring networks are stored in the AQIS air pollution database. The database contains data from the beginning of measurements, and sulphur dioxide and suspended particulate matter concentrations from the station networks of the CHMI in North Bohemia and Prague from 1971. Accompanying meteorological data, which are measured at a large part of the automated monitoring stations of the CHMI are used for the evaluation of air quality-meteorological relationships, are also stored in the ISKO database. In addition, the ISKO emission database also includes data provided by cooperating institutions. These include the Public Health Institute in Ostrava, the Public Health Institute in Ústí nad Labem, the National Institute of Health, ČEZ, a. s., the Forestry and Game Management Research Institute, v. v. i., the Czech Geological Survey, the Institute of Hydrobiology, municipal authorities and other contributors. The database also includes information from the border areas of Slovakia, Germany, Poland and Austria.

Overview of concentrations of air pollutants for which limit values for the protection of human health have been set, measured at station networks of ambient air quality monitoring in the Czech Republic: r22As - List of stations with annual average concentrations of As, 2022; r22BaP - List of stations with annual average concentrations of benzo[a]pyrene, 2022; r22BZN - List of stations with annual average concentrations of benzene, 2022; r22Cd - List of stations with annual average concentrations of cadmium, 2022; r22NO2 - List of stations with concentrations of NO2 (annual average and 19. highest hourly concentrations), 2022; r22O3 - List of stations with ground-level ozone concentrations (max. daily 8-hour moving average, averaged over 3 years), 2022; r22PM10 - List of stations with PM10 concentrations (annual mean and 36. highest 24-hour concentrations), 2022; r22PM25 - List of stations with PM2.5 annual average concentrations, 2022; r22SO2zdr - List of stations with SO2 concentrations (25th highest hourly concentrations and 4th highest 24-hour concentrations), 2022. Summary of concentrations of air pollutants for which immission limits are set to protect ecosystems and vegetation, measured at station networks of ambient air quality monitoring in the Czech Republic: r22AOT40 - AOT40 exposure index values, 5-year average, 2019-2023 [µg. m-3.h]; r22NOx - List of stations with annual average NOx concentrations, 2022; r22SO2zp - List of stations with SO2 concentrations (winter average), 2022; r22SO2rp - List of stations with annual average SO2 concentrations, 2022.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

INSPIRE – Network of groundwater discharge monitoring objects

Feature layer depicting the location of springs where the observation of yield is performed. In the past, all springs were observed by volunteers. Currently, these springs are still partly monitored in this way, and partly monitored with equipment having a daily measurement frequency. The data are stored in the Central Regime Database of Groundwater which is maintained by the Hydrology Database and Water Budget Department.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

INSPIRE – Network of groundwater level monitoring objects

Feature layer depicting the location of boreholes observing groundwater level in shallow and deep aquifers. Currently, most of the measuring objects are equipped with automatic stations that record locally or transmit the data. These stations record once a day. Originally, the boreholes were observed by volunteers with a weekly frequency of measurement. Most of new measuring objects were built during the so-called ISPA project. They went into operation in 2007. The data are stored in the Central Regime Database of Groundwater which is maintained by the Hydrology Database and Water Budget Department.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

INSPIRE – Surface water monitoring station network

Feature layer with the location of water-gauging stations. Over 90% of measurements are carried out through automatic stations with locally stored records or transmitted records. Discharge is derived from observed water level using rating curves, which are determined based on hydrometric measurements. The data from these stations are stored in the Central Regime Database of Surface Water which is maintained by the Hydrology Database and Water Budget Department.

http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

Observation Network of Meteorological, Climatological and Precipitation Stations of CHMI (1st June 2024)

Layer of automatic meteorological, climatological and precipitation stations close to 1.06.2024

Atom Feed Dataset is distributed using Atom Feed. http://publications.europa.eu/resource/authority/file-type/ Dataset is distributed using http://publications.europa.eu/resource/authority/file-type/.

Primary and aggregated data of air pollutants for which limit values are set

In accordance with Act 123/1998 Coll. on free access to environmental information, as amended, the CHMI has provided verified primary and aggregated data on outdoor air pollutants. These are the main pollutants with limit values according to current legislation: arsenic (As), benzene, benzo[a]pyrene, cadmium (Cd), carbon monoxide (CO), nickel (Ni), nitrogen dioxide (NO2), nitrogen oxides (NOX), ground-level ozone (O3), lead (Pb), particulate matter (PM10), particulate matter (PM2.5), sulphur dioxide (SO2). The data are based on measurements at stations owned by the CHMI for the period 1969-2022. The primary data are presented in measurement intervals of 30 min, 1 h or 24 h, depending on the type of measurement. Aggregated data are calculated from the above primary data. These data are: daily mean values, monthly mean values, annual mean values and the number of exceedances of the limit values for the protection of human health. Verified data for subsequent calendar years from 2020 will always be available by 1 July of the following year.

CSV Dataset is distributed using CSV.