Incorporation of coarse-grained dredged material into marsh and shoreline restoration projects in coastal New Jersey

Millions of cubic yards of sediment are dredged every year in coastal New Jersey for the operation and maintenance of an extensive marine transportation system stretching from the New Jersey Harbor south along the Atlantic Coast from Sandy Hook to Cape May and north up the Delaware River. Dredged material from these public and private projects has been managed using a variety of placement approaches and technologies, from open-water disposal to landfilling to construction materials. For the past several decades, the State of New Jersey has advocated for and implemented a policy of beneficial use of dredged material rather than its disposal. The New Jersey Department of Transportation’s Office of Maritime Resources (NJDOT/OMR) is the lead state agency for research and implementation of beneficial use statewide. NJDOT/ OMR is also responsible for the recovery of the 200-mile network of shallow-draft navigation channels along the Atlantic coast of New Jersey that was damaged by a series of severe coastal storms, most notably Superstorm Sandy in 2012. For the past decade, considerable effort has been made to develop methods that use clean dredged material from the Atlantic region to rebuild and improve coastal features such as marshes, dunes, and beaches, thereby retaining the sediment in the ecosystem. Although there have been a number of successful beneficial use projects, concerns remain about the long-term sustainability of the program due to high cost, timelines, scalability, habitat sensitivity, resiliency, aesthetics, and other factors. This paper explores some of these issues and proposes solutions. It focuses on the use of available coarse-grained material as a way to provide resiliency to these restored features while increasing scale and efficiency, protecting aesthetics, and providing increased habitat value.

Environmental Battlegrounds

This chapter opens by revisiting the Tellico Dam/snail darter controversy that pitted environmental activism against the rising tide of conservative anti-regulatory fervor. Union members joined anti-environmentalists in blaming regulation as the cause of the nation’s economic woes, especially rampant inflation. On one side, you had increasingly radical environmental groups such as Earth First!, and on the other, the Sage Brush/Wise Use rebellion that found a welcome in the Reagan administration. The Spotted Owl controversy epitomized the growing rift. Reagan appointed such arch Sage Brush rebels as James Watt as secretary of the interior and Anne Gorsuch (mother of the Supreme Court nominee) at EPA to dismantle the programs they were charged to enforce. While the Wise Use movement emerged in the Western states, it had strong followings in the East as well, as conservatives fought regulations in the Adirondacks Park, zoning in Vermont, and preservation of clean water in the Delaware River Gap. Nimbys represented a new source of activism. These were often women fighting against local pollution and other threats to their families, homes, and communities. Lois Gibbs from Love Canal and Penny Newman from California were two of the most effective leaders to emerge. Other groups such as the Clamshell and Abalone Alliances opposed new nuclear power plants.

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

Near-term forecasts of environmental outcomes can inform real-time decision making. Data assimilation modeling techniques can be used for forecasts to leverage real-time data streams, where the difference between model predictions and observations can be used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided deep learning and data assimilation approach to make 7-day forecasts of daily maximum water temperature in the Delaware River Basin. Our modeling system produced forecasts of daily maximum stream temperature with an average root mean squared error (RMSE) from 1.2 to 1.6°C for 1-day lead time across all sites. The data assimilation algorithm successfully adjusted the process-guided deep learning model states and marginally improved forecast performance when compared to forecasts produced using the process-guided deep learning model alone (7-13% lower RMSE with the data assimilation algorithm). Our model characterized forecast uncertainty relatively well as 57-80% of observations were within 90% forecast confidence intervals across all sites and lead times, and the uncertainty associated with our forecasts allow managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of deep learning models to be applied to various prediction problems shows promise for using these types of models to forecast many other important environmental variables and aid in decision making.

Regional Flood Risk Projections under Climate Change

Flood-related risks to people and property are expected to increase in the future due to environmental and demographic changes. It is important to quantify and effectively communicate flood hazards and exposure to inform the design and implementation of flood risk management strategies. Here we develop an integrated modeling framework to assess projected changes in regional riverine flood inundation risks. The framework samples climate model outputs to force a hydrologic model and generate streamflow projections. Together with a statistical and hydraulic model, we use the projected streamflow to map the uncertainty of flood inundation projections for extreme flood events. We implement the framework for rivers across the state of Pennsylvania, United States. Our projections suggest that flood hazards and exposure across Pennsylvania are overall increasing with future climate change. Specific regions, including the main stem Susquehanna River, lower portion of the Allegheny basin and central portion of Delaware River basin, demonstrate higher flood inundation risks. In our analysis, the climate uncertainty dominates the overall uncertainty surrounding the flood inundation projection chain. The combined hydrologic and hydraulic uncertainties can account for as much as 37% of the total uncertainty. We discuss how this framework can provide regional and dynamic flood-risk assessments and help to inform the design of risk-management strategies.

Prototyping a Methodology for Long-Term (1680–2100) Historical-to-Future Landscape Modeling for the Conterminous United States

Land system change has been identified as one of four major Earth system processes where change has passed a destabilizing threshold. A historical record of landscape change is required to understand the impacts change has had on human and natural systems, while scenarios of future landscape change are required to facilitate planning and mitigation efforts. A methodology for modeling long-term historical and future landscape change was applied in the Delaware River Basin of the United States. A parcel-based modeling framework was used to reconstruct historical landscapes back to 1680, parameterized with a variety of spatial and nonspatial historical datasets. Similarly, scenarios of future landscape change were modeled for multiple scenarios out to 2100. Results demonstrate the ability to represent historical land cover proportions and general patterns at broad spatial scales and model multiple potential future landscape trajectories. The resulting land cover collection provides consistent data from 1680 through 2100, at a 30-m spatial resolution, 10-year intervals, and high thematic resolution. The data are consistent with the spatial and thematic characteristics of widely used national-scale land cover datasets, facilitating use within existing land management and research workflows. The methodology demonstrated in the Delaware River Basin is extensible and scalable, with potential applications at national scales for the United States.

Speaking Graffiti: Imaging Human Rights from Belfast to the West Bank

The human rights conditions of Northern Ireland and Palestine have been analyzed up, down, and sideways by a robust scholarly literature, this article provides a fresh approach to the analysis of media with respect to cultural aspects of human rights conundrums through images of localized as well as globalized “graffiti.” From the near universal influence of the painting of George Washington and company crossing the Delaware River, to brave but dangerous anti-regime graffiti in North Korea, the political nature of private artists operating in the public realm for human rights is recognized as a potentially destabilizing and regime-busting act. With a lens pointed on Palestine and Northern Ireland, we examine this cultural artifact’s power to get attention, obstruct persecution, and ultimately to mitigate some human rights abuses. How does such graffiti work? What are the similarities and differences in their power for enhancing human dignity through different times and places? We also look at the relationship of human rights graffiti to current political trends internationally. Images are used here as method of analysis that may help explain the broader implications of political graffiti for the study of a particular medium of transmission for the study of cultural and societal norms.

The Great Stinks

This chapter discusses one of the first dead zones, the River Thames near London in the 19th century. London used the river as a sewer to dispose of untreated human waste and garbage, causing oxygen to disappear and gut-wrenching odors to well up, shutting down the city in the summer of 1858, aka the Great Stink. The sewage also carried pathogens that contaminated drinking water. The chapter also points out that dead zones were common in other rivers near large cities, including the Delaware River south of Philadelphia. Wastewater treatment solved the problem, and oxygen has returned to the River Thames, the Delaware River, and many other urban rivers in rich countries. Also discussed is the fact that fish and other aquatic life have also returned, but not completely. Adequate dissolved oxygen is essential, but more is needed to make a habitat livable and to ensure the complete recovery of aquatic life.