five

Protected and protected areas Vorarlberg

收藏
data.europa2026-04-30 更新2026-05-02 收录
下载链接:
https://data.europa.eu/data/datasets/b130a550-d83b-4641-a80e-d07e19b561f9?locale=en
下载链接
链接失效反馈
官方服务:
资源简介:
Groundwater well in Vorarlberg. Protected and protected areas for drinking water deposits in Vorarlberg. Protected areas (protected zones) are protected zones (designated areas) for drinking water resources (wells and springs) approved in decisions of the water law authority. The legally binding boundaries of the protection zones can only be seen in the water book! Protected areas are zones for the protection of water resources adopted on the basis of state ordinances. The legally binding boundaries of the closed areas can be found in the regulations! The data set includes e.g. also projected protected and protected areas Important fields and data types of the attribute table (those that contain content information): ANLAGENNAM (String) = name of the protected or closed area in the Vorarlberg water information system TYPE OF INSTALLATION (string) TYPCODE (string) SUBSCRIPTION (string) = marking of the protection zones according to their degree of protection: Protection zones 1, 2, 2a, 2b or 3 or Labelling of closed areas according to their regulations according to the Water Law Act (§34 or §35) SUBTYPCODE (string) PROCESSING (string) = status of protected or closed area: "Annex exists" = protected area has been approved or the closed area has been adopted in a regulation, "projected" = protected area or protected area is in the planning phase (no permit or regulation!) STRATEGY = address of the installation Postcode (number) = Postcode COMMUNITY (String) = Municipality in which the complex is located WISONLINE (URL) = URL to the WIS extract (only available in the country portal!) WIS _ID (String)= unique identification of the plant in the Vorarlberg water information system Reported for INSPIRE. Data source: schutzundschongebiete.shp
提供机构:
Vorarlberg, Landesamt für Vermessung und Geoinformation, Abteilung Geoinformation
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作