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Record W4396761923 · doi:10.2175/193864718825159350

Delivering Projects using Community Based Partnership to meet Chesapeake Bay TMDL Requirements in Prince George's County, MD and Key Lessons Learned

2024· article· en· W4396761923 on OpenAlexaboutno aff
Srikanth Gorugantula, Roland Jones

Bibliographic record

VenueProceedings of the Water Environment Federation · 2024
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)Chesapeake bayGeneral partnershipKey (lock)Computer scienceBayEngineeringAeronauticsEnvironmental scienceOperations researchPolitical scienceComputer securityOceanographyCivil engineeringEstuaryGeologyLaw

Abstract

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Delivering Projects using Community Based Partnership to meet Chesapeake Bay TMDL Requirements in Prince George's County, MD and Key Lessons LearnedAbstractPrince George's County, MD is located within the 80,000 square mile Chesapeake Bay watershed. EPA and the State of Maryland prepared the Chesapeake Bay Total Maximum Daily Load (Bay TMDL) for restoring the Chesapeake Bay's chemically, biologically and physically impaired waters. The Bay TMDL requires States, Counties and Cities within the watershed to limit the amount of Total Phosphorus, Total Nitrogen and Total Suspended Sediment that is discharged through point and non-point sources (urban stormwater runoff). Prince George's County combined meeting regulatory requirements with targeted local workforce and business development for this pioneering alternative delivery project. Prince George's County (County) and Corvias Infrastructure Solutions (CIS) developed the Clean Water Partnership (CWP) to design, build and maintain urban stormwater quality treatment best management practices (BMPs) to meet the County's Bay TMDL obligations. In addition to infrastructure improvements, the CWP balances risk, priorities, and social needs, through this Community Based Partnership (CBP). Bringing financing, engineering design firms, contractors, outreach and social/economic goals to this project, environmental compliance is being achieved with local economic growth and community involvement. This groundbreaking and innovative alternative delivery method is the first in the country and required a pioneering, dynamic and responsive team effort to meet the multiple program objectives. The two main CBP program elements include: 1) Environmental goals of design, permitting and construction of stormwater treatment devices, located throughout the 500-square mile County, to treat urban stormwater runoff. 2) Social and economic goals to meet aggressive target class utilization (40% for local, small and minority businesses) and local workforce (51% county resident utilization). Between 2016 and 2021, CWP has successfully implemented over 150 projects, certified over 300 BMP devices to help meet the County's MS4 stormwater permit requirements. In this process, CWP spent over $140 million in design and construction and reduced approximately 53,700 lb. of Total Nitrogen (TN), 7,300 lb. of Total Phosphorus (TP) and 4,405,100 lb. of Total Suspended Solids (TSS). In addition, more than 15,000 acres of drainage area is also treated to reduce pollutants to Chesapeake Bay. A key to the success of the CWP Program has been clear programmatic metrics including indicators and beneficiaries from day one. Primary program metrics focused on schedule/speed, scale economies and performance, community outreach, local disadvantaged subcontractor utilization, local subcontractor development, workforce utilization, and workforce development. Additional metrics were related to alternative compliance and partner programs, and project budget books and schedules. Moving forward, the CWP Team is focused on executing efficiencies to design and construct additional large pond retrofit projects and stream restoration projects based on their monitoring and tracking of BMP cost-effectiveness throughout earlier phases. In addition to complete data inventories on the number of BMPs built and drainage area managed, the CWP Team analyzed pollution removal and cost data of BMPs to determine Total Nitrogen, Total Phosphorus and Total Suspended Solids reduction for 10+ different types of BMPs. This performance summary information directly influenced the planning and siting of each subsequent phase of BMP design and construction. At the same time the Program Management team will continue to rely on performance data and think creatively to achieve its program goals and metrics in future phases. The CWP team has been focusing on asset management as the Program matures to its subsequent phases. This presentation will provide useful information for utility and public works department leaders, and stormwater management staff about creating or tailoring an existing program to meet large-scale targets for capital project delivery intended to meet water quality goals or other stormwater related objectives such as resiliency and flood risk reduction. Partnership goals, organizational structures and integrated delivery partners roles and responsibilities, and program metrics will be shared for discussion. Detailed information will also be presented related to specific program elements and BMP performance data that helped the CWP Team to achieve program milestones. As more communities face increasing regulation and climate-related threats to their stormwater infrastructure, bundling capital improvement projects for cost-effective and timely implementation may be necessary. The CWP Team will share lessons learned from their 6+ years of program execution, specific keys to success for other communities to consider and adaptive management strategies for future CWP success.This paper was presented at the WEF Collection Systems and Stormwater Conference, April 9-12, 2024.SpeakerGorugantula, SrikanthPresentation time13:30:0014:00:00Session time13:30:0015:00:00SessionCollaborative InitiativesSession number05Session locationConnecticut Convention Center, Hartford, ConnecticutTopicConstruction, Funding, Green Infrastructure, Laboratory Methods And Analysis, Program Management, Public Utility, Rates, Stormwater Control Measure, TMDLs, Water Quality, Watershed ManagementTopicConstruction, Funding, Green Infrastructure, Laboratory Methods And Analysis, Program Management, Public Utility, Rates, Stormwater Control Measure, TMDLs, Water Quality, Watershed ManagementAuthor(s)Gorugantula, SrikanthAuthor(s)S. Gorugantula1, R. Jones2Author affiliation(s)HDR 1; Corvias Infrastructure Solutions (CIS) 2SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Apr 2024DOI10.2175/193864718825159350Volume / Issue Content sourceCollection Systems and Stormwater ConferenceCopyright2024Word count22

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.258
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
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