Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

Polycyclic Aromatic Hydrocarbon Samples - 2011-2023 - OSPR [ds714]

Metadata Updated: July 24, 2025

Polycyclic aromatic hydrocarbons (PAHs) are a class of organic compounds found in the environment associated with natural and anthropogenic activities such as the refinement and use of petroleum hydrocarbons as fuels and lubricants. When an oil spill occurs in California, an understanding of pre-spill or ambient levels of PAHs is crucial for understanding the existing environmental conditions before a release occurs. Anthropogenic (e.g., vehicle and boat exhaust, wood burning, industrial activities, oil spills) and natural releases (i.e., forest fires, oil seeps) of PAHs are common sources of these compounds in the environment. Ambient or pre-spill data are critical to identify the need for, and scope of, subsequent environmental sampling, and injury assessment. The Office of Spill Prevention and Response (OSPR) in collaboration with industry representatives (Chevron) and other state and federal trustee agencies (Department of Fish and Game, U.S. Fish and Wildlife Service, Bureau of Land Management, National Oceanic and Atmospheric Administration) have collected environmental samples (e.g., water, sediment, and tissue) for polycyclic aromatic hydrocarbon (PAH) chemical analysis from coastal and inland locations. In addition, plans to collect PAH monitoring data in California for the purpose of being prepared for oil spills and assessing natural resource injuries have been developed. Between 2011 and 2022, Chevron and the Trustees collected samples in Eureka/Humboldt Bay, Richmond, El Segundo, and San Diego, CA for PAH analysis to begin assessing ambient conditions. Chevron and the Trustees have the common understanding that the interpretation of statistical comparisons of these data to spill data (in the event one occurs) must take into consideration the sample size and geographic coverage of the available PAH monitoring data. From 2017 to present, CDFW-OSPR has collected samples in the Feather River Canyon, along the Upper Sacramento River, in Elkhorn Slough and Monterey Bay. For more information please visit, https://wildlife.ca.gov/OSPR/NRDA/Inland-Ambient-Data, https://wildlife.ca.gov/OSPR/NRDA/Marine-Ambient-Data.

Access & Use Information

Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date July 23, 2025
Metadata Updated Date July 24, 2025

Metadata Source

Harvested from State of California

Additional Metadata

Resource Type Dataset
Metadata Created Date July 23, 2025
Metadata Updated Date July 24, 2025
Publisher California Department of Fish and Wildlife
Maintainer
Identifier 87e67785-4129-45b9-b6b8-4442f3249be9
Data First Published 2022-03-01T18:54:08.000Z
Data Last Modified 2024-06-04T20:07:24.444Z
Category Natural Resources
Public Access Level public
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Datagov Dedupe Retained 20250724164837
Harvest Object Id a3f4c217-132c-4998-b5b3-d010fefa125d
Harvest Source Id 3ba8a0c1-5dc2-4897-940f-81922d3cf8bc
Harvest Source Title State of California
License http://www.opendefinition.org/licenses/cc-by
Source Datajson Identifier True
Source Hash bff53a79437b808ef3a58e5ac50995f61bf838e6571f2da5da41d8f14681085c
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.