Development of a Quantitative Approach to Incorporating Stakeholder Values into Total Maximum Daily Loads: Dominguez Channel Case Study

PDF Version Also Available for Download.

Description

The federal Clean Water Act (CWA) Section 303(d)(1)(A) requires each state to conduct a biennial assessment of its waters, and identify those waters that are not achieving water quality standards. The result of this assessment is called the 303(d) list. The CWA also requires states to establish a priority ranking for waters on the 303(d) list of impaired waters and to develop and implement Total Maximum Daily Loads (TMDLs) for these waters. Over 30,000 segments of waterways have been listed as impaired by the Environmental Protection Agency (EPA). The EPA has requested local communities to submit plans to reduce discharges … continued below

Physical Description

PDF-file: 17 pages; size: 1.5 Mbytes

Creation Information

Stewart, J. June 8, 2004.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Author

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

The federal Clean Water Act (CWA) Section 303(d)(1)(A) requires each state to conduct a biennial assessment of its waters, and identify those waters that are not achieving water quality standards. The result of this assessment is called the 303(d) list. The CWA also requires states to establish a priority ranking for waters on the 303(d) list of impaired waters and to develop and implement Total Maximum Daily Loads (TMDLs) for these waters. Over 30,000 segments of waterways have been listed as impaired by the Environmental Protection Agency (EPA). The EPA has requested local communities to submit plans to reduce discharges by specified dates or have them developed by the EPA. An investigation of this process found that plans to reduce discharges were being developed based on a wide range of site investigation methods. The Department of Energy requested Lawrence Livermore National Laboratory to develop appropriate tools to assist in improving the TMDL process. The EPA has shown support and encouragement of this effort. Our investigation found that improving the stakeholder input process would facilitate many of the TMDL processes, given the resources available to the interested and responsible parties. The first model that we have developed is a stakeholder allocation model (SAM). The SAM uses multi-attribute utility theory to quantitatively structure the preferences of the major stakeholder groups, and develop both individual stakeholder group utility functions and overall stakeholder utility function for a watershed. The test site we selected was the Dominquez Channel watershed in Los Angeles, California. The major stakeholder groups interviewed were (1) nongovernmental organizations, (2) oil refineries, (3) the Port of Los Angeles, and (4) the Los Angeles Department of Public Works. The decision-maker that will determine the acceptable utility values is the Los Angeles Regional Water Quality Board. The preliminary results have shown some different values among stakeholders, especially in the areas of scheduling and cost of the implementation plan. However, the attribute list has also identified the value or importance of each area, giving the decision-maker the ability to make tradeoffs to maximize the groups overall utility. Final decisions are not disclosed in this paper due to ongoing negotiations by the stakeholders.

Physical Description

PDF-file: 17 pages; size: 1.5 Mbytes

Source

  • Presented at: Water Environment Federation Technical Conference, New Orleans, LA, United States, Oct 01 - Oct 07, 2004

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Report No.: UCRL-CONF-204576
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 15014300
  • Archival Resource Key: ark:/67531/metadc1410750

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • June 8, 2004

Added to The UNT Digital Library

  • Jan. 23, 2019, 12:54 p.m.

Description Last Updated

  • Feb. 1, 2019, 1:12 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 2

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Stewart, J. Development of a Quantitative Approach to Incorporating Stakeholder Values into Total Maximum Daily Loads: Dominguez Channel Case Study, article, June 8, 2004; Livermore, California. (https://digital.library.unt.edu/ark:/67531/metadc1410750/: accessed July 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

Back to Top of Screen