A collection of maps of Los Angeles County MPAs to target various audiences for improving understanding of the location, purpose and management of California’s marine protected areas.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

SummaryThe Essential Connectivity Map shows a statewide network of 850 relatively intact Natural Landscape Blocks (ranging in size from 2,000 to about 3.7 million acres) connected by 192 Essential Connectivity Areas (Table 3.1). There are fewer Essential Connectivity Areas than Natural Landscape Blocks, because each Essential Connectivity Area serves to connect at least two, and as many as 15 Natural Landscape Blocks. Due to the broad, statewide nature of this map, and its focus on connecting very large blocks of mostly protected natural lands, the network omits many areas that are important to biological conservation. The purpose of the map is to focus attention on large areas important to maintaining ecological integrity at the broadest scale. Natural areas excluded from this broad-brush Essential Connectivity Network can therefore not be "written off" as unimportant to connectivity conservation or to sustaining California's natural heritage.DescriptionThe California Department of Transportation (Caltrans) and California Department of Fish and Game (CDFG) commissioned the California Essential Habitat Connectivity Project because a functional network of connected wildlands is essential to the continued support of California's diverse natural communities in the face of human development and climate change. The Essential Connectivity Map depicts large, relatively natural habitat blocks that support native biodiversity (Natural Landscape Blocks) and areas essential for ecological connectivity between them (Essential Connectivity Areas). This coarse-scale map was based primarily on the concept of ecological integrity, rather than the needs of particular species. Essential Connectivity Areas are placeholder polygons that can inform land-planning efforts, but that should eventually be replaced by more detailed Linkage Designs, developed at finer resolution based on the needs of particular species and ecological processes. It is important to recognize that even areas outside of Natural Landscape Blocks and Essential Connectivity Areas support important ecological values that should not be "written off" as lacking conservation value. Furthermore, because the Essential Habitat Connectivity Map was created at the statewide scale, based on available statewide data layers, and ignored Natural Landscape Blocks smaller than 2,000 acres squared, it has errors of omission that should be addressed at regional and local scales.CEHC Least Cost Corridors (LACo)Mosaic of least-cost corridor results for all Essential Connectivity Areas and clipped to the LA County Boundary. The minimum cell value was used for overlapping cells.CEHC Cost Surface (LACo)Statewide resistance surface generated for least-cost corridor models and clipped to the LA County Boundary.

Ces zones d’aires protégées sont généralement le noyau dur de la conservation, la zone d'accès limitée, la zone périphérique, la zone tampon. Les données sont issues des plans d'aménagement des aires protégées dont les descriptifs sont faits à base des cartes topographiques (fond INC) à l'échelle de 1:200 000. La qualité et la précision de ces données peut varier en fonction des sources ; par conséquent, ces informations sont essentiellement indicatives.

Protected areas are characterized as geographical areas for the conservation of flora and fauna biodiversity. They are managed by the State and include national parks, forest and wildlife reserves, and sanctuaries of fauna and flora. The main difference between national parks and forest and wildlife reserves is that parks are developed to facilitate visits by tourists while reserves are only accessible to specialists working there. Data from this layer is produced by MINFOF and WRI with support from the United States Agency for International Development (USAID), the Norwegian Ministry of Environment and the Department for International Development of Great Britain (DFID ). Software contributions come from the support of ESRI and Erdas. This layer is continuously updated, according to the availability of new official documents; Namely public notices and creation decrees, the descriptions of which are based on topographical maps (INC ) on the scale of 1: 200,000.

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2024, it represents fire23_1.

Please help improve this dataset by filling out this survey with feedback:

Historic Fire Perimeter Dataset Feedback (arcgis.com)

Current criteria for data collection are as follows:

CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

All cooperating agencies submit perimeters ≥10 acres.

Version update:

Firep23_1 was released in May 2024. Two hundred eighty four fires from the 2023 fire season were added to the database (21 from BLM, 102 from CAL FIRE, 72 from Contract Counties, 19 from LRA, 9 from NPS, 57 from USFS and 4 from USFW). The 2020 Cottonwood fire, 2021 Lone Rock and Union fires, as well as the 2022 Lost Lake fire were added. USFW submitted a higher accuracy perimeter to replace the 2022 River perimeter. Additionally, 48 perimeters were digitized from an historical map included in a publication from Weeks, d. et al. The Utilization of El Dorado County Land. May 1934, Bulletin 572. University of California, Berkeley. Two thousand eighteen perimeters had attributes updated, the bulk of which had IRWIN IDs added. A duplicate 2020 Erbes perimeter was removed. The following fires were identified as meeting our collection criteria, but are not included in this version and will hopefully be added in the next update: Big Hill #2 (2023-CAHIA-001020).

YEAR_ field changed to a short integer type. San Diego CAL FIRE UNIT_ID changed to SDU (the former code MVU is maintained in the UNIT_ID domains). COMPLEX_INCNUM renamed to COMPLEX_ID and is in process of transitioning from local incident number to the complex IRWIN ID. Perimeters managed in a complex in 2023 are added with the complex IRWIN ID. Those previously added will transition to complex IRWIN IDs in a future update.

Includes separate layers filtered by criteria as follows:

California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2019-2023), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-present. Symbolized by decade, and display starting at country level scale.

Detailed metadata is included in the following documents:

Wildland Fire Perimeters (Firep23_1) Metadata

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

Priority Areas for Environmental Conservation is a composite of multiple primary source datasets. As a result, there is no formal data dictionary available for this layer. For those seeking more information regarding the constituent datasets that comprise this layer, it is advised that reference be made to the primary sources. These primary sources may contain their own data dictionaries, metadata, or other relevant documentation that can provide an in-depth comprehension of the data.

Very High Fire Hazard Severity Zones within LRA (Local Responsibility Area) in Los Angeles County. These zones were established in 2008.

PRC 4201-4204 and Govt. Code 51175-89 direct the California Department of Forestry and Fire Protection (CDF) to map areas of significant fire hazards based on fuels, terrain, weather, and other relevant factors. These zones, referred to as Fire Hazard Severity Zones (FHSZ), then define the application of various mitigation strategies to reduce risk associated with wildland fires. State Responsibility Area (SRA) was originally mapped in 1985 and has not been updated since, except with respect to changes in SRA boundaries. Local Responsibility Areas (LRA) were originally mapped in 1996, and also has not been updated since, although many local governments have made similar designations under their own authority. Current FHSZ is available for 1985 SRA, 2007 SRA and LRA.

CDF wishes to remap both SRA and LRA areas to provide updated map zones, based on new data, science, and technology that will create more accurate zone designations such that mitigation strategies are implemented in areas where hazards warrant these investments. The zones will provide specific designation for application of defensible space and building standards consistent with known mechanisms of fire risk to people, property, and natural resources.

Last Update: 2008

Update Frequency: As Needed

Contact Information:

Los Angeles County Fire Department Geographic Information Systems Section LACoFDGIS@fire.lacounty.gov

WMTS Web Map Service that allows you to visualise the Protected Natural Areas of Castilla-La Mancha

Biotope cadastre of the open landscapes. Data transformed into INSPIRE data specifications on Protected Sites. The register of biotopes is a map of the zones of rare and threatened habitats protected by Article 17 of the amended Law of 19 January 2004 on the protection of nature and natural resources of which identification is difficult or ambiguous. Description copied from catalog.inspire.geoportail.lu.

Significant Ecological Area (SEA) means an area that is determined to possess an example of biotic resources that cumulatively represent biological diversity for the purposes of protecting biotic diversity, as part of the Los Angeles County General Plan or a city’s general plan. Additional regulations shall be applied based on County Code 22.56.215: 'Significant Ecological Areas — Additional Regulations'. More information about the County’s SEA Program can be found at: https://planning.lacounty.gov/sea/LAST UPDATED: 12/20/22 for Annexation #2021-01 (Tesoro Del Valle)NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

These raster and vector datasets were developed for the Sea Grant South Coast MPA Baseline Program as part of the project “Nearshore Substrate Mapping and Change Analysis using Historical and Concurrent Multispectral Imagery” (#R/MPA 30 10-049). The study region is the South Coast Region (SCR). Kelp thematic maps from 1999-2012 were used for this product. Ocean Imaging acquired the imagery and classification data used for this analysis from its own Digital Multispectral Camera (DMSC), the Microsoft UltraCam-X aerial camera system and from kelp habitat classifications archived by the California Department of Fish and Wildlife (CDFW). Details on this systems and the data processing are below in the Lineage section of this document. The persistence analyses show the persistence of kelp beds in the SCR and MPAs as a percentage of the number of years analyzed. The coverage area is from Conception, CA south to Imperial Beach, CA. The GIS analysis product files are deliverd are in GeoTIFF (.tif) and ESRI Shapefile formats as well as Adobe Acrobat PDF files. This raster dataset contains a persistence analysis of giant kelp beds along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific dataset covers the Encinitas, CA to La Jolla, CA region including the Swami's SMCA, San Diego-Scripps Coastal SMCA, Matlahuayl SMR and South La Jolla SMR. These data ware originally provided to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the South Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository (https://opc.dataone.org/) by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The long-term California MPA boundary and project info tables can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.

This map looks at deforestation in the Northern Bolivian Amazon near Rurrenebaque in the district of Beni between 2003-2013. Each land use descriptor listed below the Intact Forest Landscapes Layer 2003/2013 is taken from ESRI Bolivia's 2012 map "Mapa de Uso Mayor de la Tierra en Bolivia". These layers show some interesting trends: even protected areas have lost forest in the last decade, plantation agriculture covers less of the deforested area than extensive agriculture or logging from natural areas, and livestock grazing is by far the largest land user by area. The final map layer shows 2016 road map data from the Center for International Earth Science Information Network (CIESIN). While road development is often correlated to deforestation, the map shows no obvious trends connecting the two.

The Canadian Protected and Conserved Areas Database (CPCAD) contains the most up-to-date spatial and attribute data on marine and terrestrial protected and other conserved areas in Canada. It is compiled and managed by Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial and territorial jurisdictions. It contains combined data from all these Canadian jurisdictions. The CPCAD data providers are jurisdictions at the federal, provincial and territorial level that have mechanisms in place to control access and activities on terrestrial or marine areas, in order to protect various elements of biodiversity. It is used by a wide range of organizations, including governments, ENGOs, academia, land managers, industry, and the public. CPCAD supports many uses including Canada’s national reporting on protected areas, Canada’s international reporting on protected areas as a result of Canada’s commitments under the UN Convention on Biological Diversity, and Canada’s protected areas program by providing baseline information.Fopr more information, visit the source page.Current version: 2022La Base de données canadienne sur les aires protégées et de conservation (BDCAPC) contient les données spatiales et les données d’attributs les plus actuelles sur les aires protégées et les autres aires de conservation marines et terrestres du Canada. Elle est compilée et gérée par Environnement et Changement climatique Canada (ECCC), en collaboration avec les instances fédérales, provinciales et territoriales. Il s’agit d’une source unique pour toutes les données sur les aires protégées provenant des instantes canadiennes. Les fournisseurs de données de la BDCAPC sont des administrations fédérales, provinciales et territoriales qui ont mis en place des mécanismes qui leur permettent de contrôler l’accès aux aires terrestres ou marines et les activités qui s’y déroulent afin de protéger divers éléments de la biodiversité. Elle est utilisée par un large éventail d’organisations, incluant les gouvernements, les organisations non gouvernementales à caractère environnemental (ONGE), les gestionnaires de territoire, l’industrie et le public. La BDCAPC peut êtreutilisée de diverses façons incluant l’établissement de rapports nationaux sur les aires protégées du Canada, l’établissement de rapports internationaux sur les aires protégées par le Canada à la suite de son engagement pris sous la Convention de l’ONU sur la diversité biologique, et le programme des aires protégées du Canada en fournissant des renseignements de base.Pour plus d'informations, visitez la page source.Update Frequency: Once a year. The current data displayed is from 2021.

description: This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The PLSS First Division is commonly the section. This is the first set of divisions for a PLSS Township.; abstract: This data represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular survey data. The rectangular survey data are a reference system for land tenure based upon meridian, township/range, section, section subdivision and government lots. The non-rectangular survey data represent surveys that were largely performed to protect and/or convey title on specific parcels of land such as mineral surveys and tracts. The data are largely complete in reference to the rectangular survey data at the level of first division. However, the data varies in terms of granularity of its spatial representation as well as its content below the first division. Therefore, depending upon the data source and steward, accurate subdivision of the rectangular data may not be available below the first division and the non-rectangular minerals surveys may not be present. At times, the complexity of surveys rendered the collection of data cost prohibitive such as in areas characterized by numerous, overlapping mineral surveys. In these situations, the data were often not abstracted or were only partially abstracted and incorporated into the data set. These PLSS data were compiled from a broad spectrum or sources including federal, county, and private survey records such as field notes and plats as well as map sources such as USGS 7 minute quadrangles. The metadata in each data set describes the production methods for the data content. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. A complete PLSS data set includes the following: PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners, Metadata at a Glance (which identified last revised date and data steward) and Conflicted Areas (known areas of gaps or overlaps or inconsistencies). The Entity-Attribute section of this metadata describes these components in greater detail. The PLSS First Division is commonly the section. This is the first set of divisions for a PLSS Township.

The Los Angeles County Flood Control District (District) was established in 1915 and encompasses approximately 2,758 square miles. The District operates and maintains one of the most complex systems of flood control and water conservation in the Country. The District’s current infrastructure includes 14 major dams and reservoirs, 483 miles of concrete and soft-bottom channels, 3,380 miles of underground storm drain conduits, 82,275 catch basins, 48 pump stations, 173 debris basins, 181 crib dams, 29 sediment placement sites, 27 spreading grounds, 21 low-flow diversion structures, 3 seawater barrier systems with 290 seawater barrier injection wells, 1 constructed wetland, and 1 mitigation bank area. Employees of the Los Angeles County Public Works (PW) serve as staff for the District. The District is separate from PW and funds of each entity remain in separate accounts. PW pays the District for the use of District equipment, materials and property used for County purposes. The District is empowered to carry out the objectives of the Los Angeles County Flood Control Act of 1915, California Water Code, Appendix, Chapter 28 (the Act). The objectives are to provide for the control and conservation of flood, storm and other wastewater and to protect from damage such as flood or storm waters, the harbors, waterways, public highways and property within the District. These powers are exercised by the County Board of Supervisors (Board), which acts as the governing body of the District. The duties of the Board include approving the District’s budget, determining the District’s tax rates, approving contracts, and determining when to issue bonds authorized by the voters of the District.

Area exposed to one or more hazards shown on the hazard map used for the RPP risk analysis. The hazard map is the result of the study of hazards whose objective is to assess the intensity of each hazard at any point in the study area. The assessment method is specific to each type of hazard. It leads to the delimitation of a set of zones on the study perimeter constituting a graduated zoning according to the level of the hazard. The assignment of a hazard level at a given point in the territory takes into account the probability of occurrence of the dangerous phenomenon and its degree of intensity. For PPRTs hazard levels are determined effect by effect on maps by type of effects and overall according to an aggregate level on a synthesis map.All hazard zones represented on the hazard map are included. Areas protected by protective works must be represented (possibly in a specific way) because they are always considered subject to hazard (case of rupture or insufficiency of the structure). Hazard zones can be described as elaborated data to the extent that they result from a synthesis using several calculated, modelled or observed hazard data sources. These source data are not concerned by this class of objects but by another standard dealing with the knowledge of hazards. Certain areas of the study area are considered to be ‘zero or insignificant hazard areas’. These are the areas where the hazard has been studied and is zero. These areas are not included in the object class and do not have to be represented as hazard zones.

Area exposed to one or more hazards represented on the hazard map used for risk analysis of the RPP. The hazard map is the result of the study of hazards, the objective of which is to assess the intensity of each hazard at any point in the study area. The evaluation method is specific to each hazard type. It leads to the delimitation of a set of areas on the study perimeter constituting a zoning graduated according to the level of the hazard. The allocation of a hazard level at a given point in the territory takes into account the probability of occurrence of the dangerous phenomenon and its degree of intensity. For multi-random PPRNs, each zone is usually identified on the hazard map by a code for each hazard to which it is exposed. All hazard areas shown on the hazard map are included. Areas protected by protective structures must be represented (possibly in a specific way) as they are always considered subject to hazard (case of breakage or inadequacy of the structure). Hazard zones can be described as developed data to the extent that they result from a synthesis using multiple sources of calculated, modelled or observed hazard data. These source data are not concerned by this class of objects but by another standard dealing with the knowledge of hazards. Some areas within the study area are considered “no or insignificant hazard zones”. These are the areas where the hazard has been studied and is nil. These areas are not included in the object class and do not have to be represented as hazard zones. However, in the case of natural RPPs, regulatory zoning may classify certain areas not exposed to hazard as prescribing areas (see definition of the PPR class).

Area exposed to one or more hazards represented on the hazard map used for risk analysis of the RPP. The hazard map is the result of the study of hazards, the objective of which is to assess the intensity of each hazard at any point in the study area. The evaluation method is specific to each hazard type. It leads to the delimitation of a set of areas on the study perimeter constituting a zoning graduated according to the level of the hazard. The allocation of a hazard level at a given point in the territory takes into account the probability of occurrence of the dangerous phenomenon and its degree of intensity. For multi-random PPRNs, each zone is usually identified on the hazard map by a code for each hazard to which it is exposed.

All hazard areas shown on the hazard map are included. Areas protected by protective structures must be represented (possibly in a specific way) as they are always considered subject to hazard (case of breakage or inadequacy of the structure). Hazard zones can be described as developed data to the extent that they result from a synthesis using multiple sources of calculated, modelled or observed hazard data. These source data are not concerned by this class of objects but by another standard dealing with the knowledge of hazards. Some areas within the study area are considered “no or insignificant hazard zones”. These are the areas where the hazard has been studied and is nil. These areas are not included in the object class and do not have to be represented as hazard zones. However, in the case of natural RPPs, regulatory zoning may classify certain areas not exposed to hazard as prescribing areas (see definition of the PPR class).