Skip to main content

Analyze

1000 years

jradams1

Climbing this "disposal" cell was the main event of our guided tour of the Weldon Spring's Interpretive Center. It represents the "finished product" of the toxic waste clean up project and Legacy Management site. Engineered and constructed with 8 layers of strategically chosen materials, the cell is expected to "deter the migration of [its] contaminants" for up to 1000 years. Thus, it is really more of a storage cell than a disposal cell...

Some of the questions coming from our group concerned the criteria of assessment used to determine the cell's long term durability and functionality. For instance, the cell was designed to control and treat leachate--water that has become contaminated from seeping through the cell--but this capacity has its limits. Though the cell has been designed to handle well-over the historical record of rainfall in the area, climate change has rendered history an ineffective means of predicting the severity of weather in the future.

Another concern is the transfer of knowledge about the cell and its toxic contents. How do we make sure no one opens it up (or blows it up) over the course of 1000 years? The strategy of the DOE is to monitor the cell by testing the local area for contaminants, maintaining strict military surveillance over the area, and by using the interpretive center to educate tourists and the local community about the cell, i.e. Legacy Management. But the US federal government's (or any institution's) ability to keep this up for 1000 years is obviously questionable, at the very best. What is certain here is that, by managing nuclear waste, with its inhuman time scales and the correlate amplification of complexity, we are venturing into uncharted waters. The DOE wants to create the impression that everything is under control and it may be, for the time being. It is also reasonable to take pains not to incite widespread fear and panic. But it is similarly important to recognize that we, in this moment, simply cannot be in control over 1000 years of possibility.

pece_annotation_1517276782

rramos

In the article, the authors used data from the 2011-2015 American Community 5-Year Estimates by the U.S. Census, 2010 U.S Census, and George C. Galster, “The Mechanism(s) of Neighborhood Effects: Theory, Evidence, and Policy Implications.”. They looked at data follwing children under 18,  and followed poverty trends such as census tracts for concentrated areas of high poverty. They used the number of children in Essex County Cities and compared it to the the amount of children in poverty in those cities, for the years of 2000 and 2015. Henceforth, they created an arguement stating that Child Poverty rates have risen within those 15 years, and even by 50% in some areas. The only issue I have with some of this data is that in some cities, we see a decrease in child population - and while there is an increase in child poverty in those areas, I feel like the reduced number of children in that area plays a big part in the so called "Increased Child Poverty Rates".

pece_annotation_1517350892

elizabeth.diblasio

Vulnerability and resilience in this artifact are defined by the high concentration of child poverty in Essex County. They are measured using the Census from 2000 and 2015 which show how there is a trend in the percentage of children who expereince poverty within the county. Majority of the children living in poverty are currently living in heavilyu concentrated poverty neighborhoods like Newark, Irvington, and the Oranges. Although the affluent town of Milburn is nearby, it is unclear how these children continue to live below the poverty line in Newark even though the towns are only 6 miles apart. 

pece_annotation_1524003944

AlvaroGimeno

As a sesearch from the Rotgers University, the students or researchers support:

- The child poverty in becoming more concentrated. With the numbers next to us, we can say that a 52.5% of the poorest childs live in census were the concentration is above a 40%

- Inner-ring suburbs of Orange, East Orange, and Irvington have seen the largest increases in child poverty.

- Essex County’s smallest municipalities have very low child poverty, although many have seen their child poverty rates increase by more than 50 percent since 2000