Expanding Water Quality Assessments beyond the Realm of 'Impairments' and into a Tool Useful to Watershed Managers at the Local Level Ken Edwardson Watershed.

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Presentation transcript:

Expanding Water Quality Assessments beyond the Realm of 'Impairments' and into a Tool Useful to Watershed Managers at the Local Level Ken Edwardson Watershed Management Bureau New Hampshire Department of Environmental Services May 9, 2006

Original Impetus for Surface Water Quality Assessments 1972 – Clean Water Act 1972 – Clean Water Act Section 305(b) - Report of surface water quality for all waterbodies of the state. Section 305(b) - Report of surface water quality for all waterbodies of the state. Section 303(d) - List of impaired waters requiring a Total Maximum Daily Load study. Section 303(d) - List of impaired waters requiring a Total Maximum Daily Load study. 303(d) is required to go out for public comment. 303(d) is required to go out for public comment. Due to Congress (submitted to EPA) April 1 st of even years. Due to Congress (submitted to EPA) April 1 st of even years.

How do you find and assess enough data to make a meaningful assessment of surface water quality? Problem:

Translator for how the water quality data will be used to make surface water quality attainment decisions by designated use consistent with state surface water quality standards. Translator for how the water quality data will be used to make surface water quality attainment decisions by designated use consistent with state surface water quality standards. Sounds pretty simple, but… Every state produces a Consolidated Assessment and Listing Methodology (CALM)

Data matrix table that accommodates any data combination and yields a unique use support Assessment while giving priority to critical periods. Base WQ criteria from NH WQStds Env-Ws 1700

Distinct AU based on waterbody type (river) Distinct AU based on presence of dam creating impoundment Distinct AU based on waterbody type (lake) ~ 5,200 assessment units statewide Assessment Unit (AU) – Distinct, homogenous surface water segments or areas; based on 1:100k NHD hydrology; linked to GIS

Difficult to retrieve the exact information used to make an assessment Difficult to retrieve the exact information used to make an assessment The “Bus Problem” The “Bus Problem” Assessment Process - The way it was Calculators Pivot Tables Paper

2002 – EPA’s Assessment Database (ADB) New Hampshire started using the EPA-ADB for reporting. New Hampshire started using the EPA-ADB for reporting. Designed to track water quality assessment data, including use attainment, and causes and sources of impairment. Designed to track water quality assessment data, including use attainment, and causes and sources of impairment. Limited as water quality management tool as it only tracks parameters that are impaired. Limited as water quality management tool as it only tracks parameters that are impaired. New Hampshire needed a tool that tracks the assessment status of all parameters to facilitate identification of impaired waters, assess data gaps and locations of potential water quality problems.

Warehouse of water quality data for NH. Warehouse of water quality data for NH. As of March 2006 the EMD contained 1,870,000 records. As of March 2006 the EMD contained 1,870,000 records. The New Assessment Problem: How do you assess all of the most recent data fast enough to meet the April 1 st deadline Birth of the New Hampshire DES Environmental Monitoring Database

January  June, 2005 Interrogation Sessions to Create the Business Plan   Ability to go back in and determine what an assessment is based upon.   Validate/invalidate and set data quality level for large datasets by defining project, parameter, and date range.   Automate invalidation of specific records, calculate statistics, and modify records based on defined processes.   Interact with EPA’s ADB to extract previous cycle assessment data.

 Allow the attachment of images, documents etc. to one or more assessment units.  Apply CALM criteria against records to determine if a result meets the designated use criteria.  Summarize criteria comparisons by cycle, waterbody, designated use, and criteria comparison type.  Track gradated use support levels for all parameters. January  June, 2005 Interrogation Sessions to Create the Business Plan (cont.)

Lake Profiles – Select worst value in epilimnion or top 25% (dissolved oxygen). Lake Profiles – Select worst value in epilimnion or top 25% (dissolved oxygen). Depth Profiles – Select worst value in profile (all other parameters). Depth Profiles – Select worst value in profile (all other parameters). Dissolved Oxygen from 2 tides - Generate average DO from DO readings taken at high and low tide on the same day. Dissolved Oxygen from 2 tides - Generate average DO from DO readings taken at high and low tide on the same day. Calculate bacteria geometric means within a rolling 60 day window. Calculate bacteria geometric means within a rolling 60 day window. Assign parent AU data to Beach AUs. Assign parent AU data to Beach AUs. Hardness – Determine correct hardness to apply to hardness dependent metal criteria. Hardness – Determine correct hardness to apply to hardness dependent metal criteria. Some of the Automated Routines

Unique criteria was developed in a “standards table” which identified each record’s appropriate criteria based upon; Unique criteria was developed in a “standards table” which identified each record’s appropriate criteria based upon; –Parameter –Medium –Fraction –Statistic type –Water class –Fishery type 6028 unique records created to translate the NH CALM 6028 unique records created to translate the NH CALM Performance - 630,000 standard comparisons in 1-2 hours Performance - 630,000 standard comparisons in 1-2 hours –Beach (y/n) –Sample date –Sample time –Water type –Sample hardness* Process for comparing sample records to the CALM criteria

Planned, June 2005  November 2005 Planned, June 2005  November 2005 Reality, June 2005  January 2006 Reality, June 2005  January 2006 Oracle 8i back-end, Oracle forms 6i Oracle 8i back-end, Oracle forms 6i 860,000 records were pulled in with the data snap- shot. 860,000 records were pulled in with the data snap- shot. Scale of the large processes upset the servers. Scale of the large processes upset the servers. The suite of waterbody type specific processes had unanticipated interactions. The suite of waterbody type specific processes had unanticipated interactions. When in doubt re-read the business plan. When in doubt re-read the business plan. Good working relationship between the primary user and programmer kept the process moving. Good working relationship between the primary user and programmer kept the process moving. Building & Testing

One false start when a pH data logger problem was discovered. One false start when a pH data logger problem was discovered. Built a side query to further summarize the parameter level interim counts. Built a side query to further summarize the parameter level interim counts. Monkey wrench - January 12 th. Monkey wrench - January 12 th. February 23 rd – The draft 303(d) went out for public comment. February 23 rd – The draft 303(d) went out for public comment. March 31 st - 305(b)/303(d) submitted to EPA. March 31 st - 305(b)/303(d) submitted to EPA. January 6th 2006  March 31st 2006, Using the Supplemental ADB

Reporting Capabilities With EPA’s ADB With EPA’s ADB

Enhanced Reporting Capabilities With New Hampshire’s Supplemental ADB With New Hampshire’s Supplemental ADB PNS

Summary All of your data can be used to tell part of the assessment story. Evaluation of the Water Quality Standards and CALM criteria can be automated. The 305(b)/303(d) assessments can become more then an impairment tracking exercise. Local watershed managers now have a window into how every parameter collected in their AUs compare with water quality standards and where there are potential issues and data gaps.

Questions? Contact Information: Ken Edwardson Water Quality Assessment Program Coordinator Watershed Management Bureau New Hampshire Department of Environmental Services (603)