Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Water Law

Water quality

William & Mary Law School

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Charting A Course To Conserve 30% Of Freshwaters By 2030, Sandra B. Zellmer Oct 2022

Charting A Course To Conserve 30% Of Freshwaters By 2030, Sandra B. Zellmer

William & Mary Law Review

One of President Biden’s earliest executive orders established an ambitious national goal to conserve at least 30 percent of U.S. lands, waters, and oceans by 2030. The Biden administration is not alone; over 100 countries support this goal as a means of combating climate change and slowing the pace of species extinction, both of which are accelerating at a rate that is unprecedented in history.

Despite its vow to pursue a wide-sweeping, all-of-government approach, Biden’s 30 by 30 initiative overlooks a critical component of the conservation goal—it pays virtually no attention to freshwater. Freshwater ecosystems are among the most endangered …


Quality Control: Potomac Riverkeeper V. Wheeler & Standards For Qualitative Citizen Water Quality Data In Virginia, Jacqueline Goodrum Apr 2022

Quality Control: Potomac Riverkeeper V. Wheeler & Standards For Qualitative Citizen Water Quality Data In Virginia, Jacqueline Goodrum

William & Mary Environmental Law and Policy Review

This Article explores the issue of quality of citizen data through the lens of Potomac Riverkeeper v. Wheeler, a recent impaired waters listing case concerning the Shenandoah River in Virginia. Part I of this Article provides a brief overview of citizen science data in regulation and policymaking under the CWA. Part II discusses Potomac Riverkeeper v. Wheeler, examining Virginia’s water quality-related data standards and DEQ’s use (and non-use) of citizen water quality-related data and information in that case. Finally, Part III argues that Virginia should establish clear, reasonable, and specific data quality standards for qualitative citizen data so …