Baldwin, Daniel

Daniel graduated with a Master's Degree in Environmental Engineering from Texas Tech University and has more than 6 years’ experience working on Stormwater and Wastewater master plans, capacity analyses, and model builds for hydrologic subarea delineations and hydraulic model development for watersheds. He has applied modelling and optimization methodologies to Wastewater, Stormwater, and Combined sewer systems on multiple projects across the eastern and southern US.

Titles from this speaker

Description: Designing for Climate Change: Flood Risk Mitigation Using Optimization (Alexandria,...

Designing for Climate Change: Flood Risk Mitigation Using Optimization (Alexandria, VA)

Abstract

The City of Alexandria (the City) has experienced repeated and increasingly frequent flooding. The City initiated a study to update stormwater management modeling and evaluate alternatives to mitigate flooding in the entire Four Mile Run (FMR) East watershed within the City. The effort consisted of a pilot area optimization, the results of which were progressed to preliminary design, as well as the wider Four Mile Run East service area analysis used to update the City of Alexandria’s stormwater masterplan. The findings of the study resulted in the City of Alexandria selecting a flood mitigation strategy that addresses the projected 2070 climate scenario. Described are the results of the climate resilience study, including the alternative analysis optimization, and lessons learned from the pilot that were applied to the wider FMR watershed and are applicable to other planning/optimization projects.

This paper was presented at WEFTEC 2023 in Chicago, IL.

SpeakerBaldwin, Daniel

Presentation time

14:00:00

14:30:00

Session time

13:30:00

15:00:00

SessionCreating Resilience with Stormwater Projects

Session locationRoom S502 - Level 5

TopicDiversity, Equity & Inclusion, Intermediate Level, Resilience, Disaster Planning and Recovery, Stormwater and Green Infrastructure, Sustainability and Climate Change

Author(s)

Baldwin, Daniel

Author(s)D. Baldwin 1; C. Salas 2 ; E. Lopezcalva 3; D. Medina 4; J. Whiteleather 4; B. Rahal 4; D. Baldwin 1;

Author affiliation(s)Jacobs 1; Jacobs 2 ; Jacobs 3; City of Alexandria, VA 4; City of Alexandria, VA 4; City of Alexandria, VA 4; 1;

SourceProceedings of the Water Environment Federation

Document typeConference Paper

PublisherWater Environment Federation

Print publication date Oct 2023

DOI10.2175/193864718825159217

Volume / Issue

Content sourceWEFTEC

Word count12

Description: Machine Learning and Scripting to Improve Capital Planning Optimizations (DeKalb...

Machine Learning and Scripting to Improve Capital Planning Optimizations (DeKalb County, Georgia)

Abstract

Optimization is a powerful process used to find high-value solutions to a complex problem. When applied to collection system capital improvement planning, optimization can evaluate a large range of alternative scenarios by using automation code, algorithms and enhanced computational power. The time to setup and review results, as well as the proprietary software cost to execute the optimization, are two of the biggest barriers to using optimization. The following abstract describes three scripts developed over the course of several capital planning projects to improve the efficiency and accessibility of the optimization process during collection system capital planning. These scripts were applied to identify a suite of cost-effective infrastructure to meet Dekalb County Georgia’s capacity assurance program’s goal.

The following conference paper was presented at WEFTEC 2021, October 16-20, 2021. To read the full abstract, see "Abstract" tab below.

SpeakerBaldwin, Daniel

Presentation time

9:10:00

09:30:00

Session time

08:30:00

09:30:00

SessionInnovation in Asset Portfolio Decision Making

Session number410

TopicAsset Management, Policy and Regulation, Utility Management and Leadership

Author(s)