Tracking Habitat Restoration Performance Measures

This collaborative project was funded by the USEPA to enhance the functionality of EcoAtlas Project Tracker to collect information on the expected goals of a project, and report performance measures in a consistent way across programs and agencies. Standardized data collection forms and reporting summaries are available to effectively serve the needs of agencies and organizations and to foster more transparent, comprehensive, and timely reporting of project performance.

The benefits of advanced performance measure reporting include:

Optimal Selection and Placement of Green Infrastructure in Urban Watersheds for PCB Control

Wu, J.; Kauhanen, P.; Hunt, J. A.; Senn, D.; Hale, T.; McKee, L. J. . 2019. Optimal Selection and Placement of Green Infrastructure in Urban Watersheds for PCB Control. Journal of Sustainable Water in the Built Environment 5 (2) . SFEI Contribution No. 729.

San Francisco Bay and its watersheds are polluted by legacy polychlorinated biphenyls (PCBs), resulting in the establishment of a total maximum daily load (TDML) that requires a 90% PCB load reduction from municipal stormwater. Green infrastructure (GI) is a multibenefit solution for stormwater management, potentially addressing the TMDL objectives, but planning and implementing GI cost-effectively to achieve management goals remains a challenge and requires an integrated watershed approach. This study used the nondominated sorting genetic algorithm (NSGA-II) coupled with the Stormwater Management Model (SWMM) to find near-optimal combinations of GIs that maximize PCB load reduction and minimize total relative cost at a watershed scale. The selection and placement of three locally favored GI types (bioretention, infiltration trench, and permeable pavement) were analyzed based on their cost and effectiveness. The results show that between optimal solutions and nonoptimal solutions, the effectiveness in load reduction could vary as much as 30% and the difference in total relative cost could be well over $100 million. Sensitivity analysis of both GI costs and sizing criteria suggest that the assumptions made regarding these parameters greatly influenced the optimal solutions. 

If you register for access to the journal, then you may download the article for free through July 31, 2019.

DOI: 10.1061/JSWBAY.0000876

GreenPlan-IT Tracker

Hale, T.; Sim, L.; McKee, L. J. 2018. GreenPlan-IT Tracker.

This technical memo describes the purpose, functions, and structure associated with the newest addition to the GreenPlan-IT Toolset, the GreenPlan-IT Tracker. It also shares the opportunities for further enhancement and how the tool can operate in concert with existing resources. Furthermore, this memo describes a licensing plan that would permit municipalities to use the tool in an ongoing way that scales to their needs. The memo concludes with a provisional roadmap for the development of future features and technical details describing the tool’s platform and data structures.

SFEI is working with the Santa Clara Valley Water District to develop multi-benefit management tools

In 2014, SFEI and the Santa Valley Water District launched a collaborative partnership aimed at sharing experience, knowledge and resources, and working toward a shared vision of watershed management. Through this partnership, the District has asked SFEI to develop a set of online tools to: 1) identify opportunities for multi-benefit management actions in and along the channels managed by the District; and 2) track the impacts of those actions towards meeting established management targets.

Mapping Outside the Box: Visualizing Bay Landscapes in New Dimensions

The most recent meeting of the San Francisco Estuary Geospatial Workgroup featured Pete Kauhanen and Lindsey Sim of SFEI's Environmental program. This meeting focused on emerging technologies for visualizing the changing Bay around us. Presenters discussed new data, tools, and approaches that are helping inform regional natural resource management.

Using Drones to Improve Corte Madera Marsh Management

SFEI is increasing the use of drones to support assessing and monitoring the health of local ecosystems. We recently completed UAS (Unmanned Aerial Systems), or drone, flights over Corte Madera marsh. This effort will improve marsh management by studying marsh erosion processes and detecting changes in the marsh edge due to marsh growth or attrition from winter storms.

This is the second time that SFEI has surveyed Corte Madera marsh’s edge, but this times comes with significant improvements.

The new CD3 Data Download tool!

SFEI has created many science-based mapping tools to help resource managers to access and visualize vast data bases. CD3, (Contaminant Data, Display and Download), is a water pollution mapping and analytical tool. It will help anyone map, quantify, assess and instantly produce a report on pollution issues at any scale in the Bay Area and Delta.

Dashboards track cumulative benefits on the landscape

EcoAtlas dashboards are comprehensive views of qualified information provided by Project Tracker and the California Aquatic Resource Inventory (CARI). These dynamic visualizations help measure the cumulative benefits of public policies and programs for California's aquatic resources. 

California Trash Monitoring Methods Project

The California Ocean Protection Council (OPC), in close partnership with the State Water Board, has recognized the importance of standard methods for trash monitoring and has funded this project. The Southern California Coastal Water Research Project (SCCWRP) and San Francisco Bay Estuary Institute (SFEI) have partnered up to test multiple trash monitoring methods with a goal of developing a library of methods with known levels of precision, accuracy, and cross-comparability of results, and linking these methods to specific management questions.

BCDC GIS, Graphics, and Technological Services

The San Francisco Estuary Institute is working to provide support for the San Francisco Bay Conservation and Development Commission (BCDC) though Geographical Information Systems (GIS), Graphics, and Technological Services.

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