five

Willamette River Toxics Study - 1988/1991

收藏
Global Change Master Directory (GCMD)2026-04-25 收录
下载链接:
https://cmr.earthdata.nasa.gov/search/concepts/C1214610434-SCIOPS.html
下载链接
链接失效反馈
官方服务:
资源简介:
A study was conducted to investigate the presence and effects of toxic pollutants at 26 locations in the Willamette River and selected tributaries by the Oregon Department of Environmental Quality (ODEQ) in cooperation with the U.S. EPA and Oregon State University (OSU). This study was used as a screening survey to add to the existing toxic pollutant data base for the Willamette River. The sampling sites selected were sampled in previous toxic monitoring programs and were chosen to represent ambient levels, significant industrial and municipal sources, and typical urban non-point source impacts. The study's stated objectives were to determine if bioaccumulative toxic pollutants were present in sediment and fish tissue and to determine the possible effects of the pollutants present on the aquatic resources using bioassays and other aquatic life toxicity testing methods. The area of study was the Willamette River and tributaries There were three to five grabs taken per sampling location. Grabs were placed in a stainless steel bucket, homogenized, placed in a sample jar and put on ice for shipping to the laboratory. Target analytes are dioxins and furans; pesticides; PCBs; PAHs; Co-planar PCBs; metals Analytical techniques included Dioxins and furans (EPA Method 1613A); PAHs (EPA Method 8270); Metals (EPA 600/4-82-020); PCBs and pesticides (EPA Method 8080). All data entered in the database were reported on a wet weight basis. Limited data for dioxin and furan monitoring at wood treatment facilities was reported on a dry weight basis in other sources. Total dioxin and furan concentrations were determined by the laboratory as the sum of the individual congeners that were detected. The information for this metadata was taken from the Columbia River Basin: Sediment Database Abstracts.
提供机构:
SCIOPS
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